From e4d4362bf9e59cc2f8d916a3c5d58e8b656dad85 Mon Sep 17 00:00:00 2001 From: cheddar Date: Thu, 26 Sep 2013 18:22:28 -0500 Subject: [PATCH 1/5] Docs working --- docs/_config.yml | 2 +- docs/_includes/.#site_head.html | 1 + docs/_includes/page_header.html | 27 + docs/_includes/site_head.html | 18 + docs/_layouts/default.html | 147 - docs/_layouts/doc_page.html | 38 + docs/_layouts/docs.html | 8 - docs/_layouts/docs_default.html | 147 - docs/_layouts/page.html | 11 - docs/_layouts/post.html | 44 - docs/content/Aggregations.md | 4 +- docs/content/Batch-ingestion.md | 2 +- docs/content/Booting-a-production-cluster.md | 4 +- docs/content/Broker.md | 2 +- docs/content/Build-from-source.md | 2 +- docs/content/Cluster-setup.md | 2 +- docs/content/Compute.md | 2 +- docs/content/Concepts-and-Terminology.md | 2 +- docs/content/Configuration.md | 6 +- docs/content/Contribute.md | 2 +- docs/content/Deep-Storage.md | 6 +- docs/content/Design.md | 2 +- docs/content/Download.md | 2 +- docs/content/Druid-Personal-Demo-Cluster.md | 4 +- docs/content/Druid-vs-Cassandra.md | 4 +- docs/content/Druid-vs-Hadoop.md | 2 +- docs/content/Druid-vs-Impala-or-Shark.md | 4 +- docs/content/Druid-vs-redshift.md | 4 +- docs/content/Druid-vs-vertica.md | 2 +- docs/content/Examples.md | 44 +- docs/content/Filters.md | 2 +- docs/content/Firehose.md | 2 +- docs/content/Granularities.md | 10 +- docs/content/GroupByQuery.md | 4 +- docs/content/Having.md | 2 +- docs/content/Home.md | 35 +- docs/content/Indexing-Service.md | 2 +- docs/content/Libraries.md | 2 +- docs/content/Loading-Your-Data.md | 30 +- docs/content/Master.md | 8 +- docs/content/MySQL.md | 2 +- docs/content/OrderBy.md | 6 +- docs/content/Plumber.md | 2 +- docs/content/Post-aggregations.md | 2 +- docs/content/Querying-your-data.md | 4 +- docs/content/Querying.md | 4 +- docs/content/Realtime.md | 2 +- docs/content/Rule-Configuration.md | 2 +- docs/content/SearchQuery.md | 2 +- docs/content/SearchQuerySpec.md | 2 +- docs/content/SegmentMetadataQuery.md | 2 +- docs/content/Segments.md | 2 +- docs/content/Spatial-Filters.md | 2 +- docs/content/Spatial-Indexing.md | 2 +- docs/content/Stand-Alone-With-Riak-CS.md | 4 +- docs/content/Support.md | 2 +- docs/content/Tasks.md | 2 +- docs/content/Thanks.md | 4 +- docs/content/TimeBoundaryQuery.md | 2 +- docs/content/TimeseriesQuery.md | 2 +- .../Tutorial:-A-First-Look-at-Druid.md | 4 +- docs/content/Tutorial:-The-Druid-Cluster.md | 6 +- docs/content/Tutorial:-Webstream.md | 4 +- .../{Twitter-Tutorial.md => TwitTwit.md} | 188 +- docs/content/Twitter-Tutorial.textile | 327 + docs/content/Versioning.md | 2 +- docs/content/ZooKeeper.md | 6 +- docs/content/contents.md | 71 - docs/content/contents.textile | 70 + docs/content/css/bootstrap-responsive.css | 1058 --- docs/content/css/bootstrap-responsive.min.css | 9 - docs/content/css/bootstrap.css | 5774 ----------------- docs/content/css/bootstrap.min.css | 9 - docs/content/css/custom.css | 592 -- docs/content/css/default.html | 147 - docs/content/css/docs.css | 14 + docs/content/css/docs.html | 8 - docs/content/css/main.css | 160 - docs/content/css/page.html | 11 - docs/content/css/pie.htc | 96 - docs/content/css/post.html | 44 - docs/content/css/syntax.css | 60 - docs/content/css/toc.css | 6 + docs/content/toc.textile | 66 + docs/css/blogs.css | 14 + docs/css/footer.css | 38 + docs/css/header.css | 21 + docs/css/index.css | 21 + docs/css/main.css | 57 + docs/index.html | 20 +- 90 files changed, 971 insertions(+), 8626 deletions(-) create mode 120000 docs/_includes/.#site_head.html create mode 100644 docs/_includes/page_header.html create mode 100644 docs/_includes/site_head.html delete mode 100644 docs/_layouts/default.html create mode 100644 docs/_layouts/doc_page.html delete mode 100644 docs/_layouts/docs.html delete mode 100644 docs/_layouts/docs_default.html delete mode 100644 docs/_layouts/page.html delete mode 100644 docs/_layouts/post.html rename docs/content/{Twitter-Tutorial.md => TwitTwit.md} (58%) create mode 100644 docs/content/Twitter-Tutorial.textile delete mode 100644 docs/content/contents.md create mode 100644 docs/content/contents.textile delete mode 100644 docs/content/css/bootstrap-responsive.css delete mode 100644 docs/content/css/bootstrap-responsive.min.css delete mode 100644 docs/content/css/bootstrap.css delete mode 100644 docs/content/css/bootstrap.min.css delete mode 100644 docs/content/css/custom.css delete mode 100644 docs/content/css/default.html create mode 100644 docs/content/css/docs.css delete mode 100644 docs/content/css/docs.html delete mode 100755 docs/content/css/main.css delete mode 100644 docs/content/css/page.html delete mode 100644 docs/content/css/pie.htc delete mode 100644 docs/content/css/post.html delete mode 100644 docs/content/css/syntax.css create mode 100644 docs/content/css/toc.css create mode 100644 docs/content/toc.textile create mode 100644 docs/css/blogs.css create mode 100644 docs/css/footer.css create mode 100644 docs/css/header.css create mode 100644 docs/css/index.css create mode 100644 docs/css/main.css diff --git a/docs/_config.yml b/docs/_config.yml index 6609d8b3dea..c9d219950a3 100644 --- a/docs/_config.yml +++ b/docs/_config.yml @@ -2,4 +2,4 @@ name: Your New Jekyll Site pygments: true markdown: redcarpet redcarpet: - extensions: ["no_intra_emphasis", "fenced_code_blocks", "autolink", "tables", "with_toc_data"] + extensions: ["no_intra_emphasis", "fenced_code_blocks", "disable_indented_code_blocks", "tables", "with_toc_data"] diff --git a/docs/_includes/.#site_head.html b/docs/_includes/.#site_head.html new file mode 120000 index 00000000000..8adca25de40 --- /dev/null +++ b/docs/_includes/.#site_head.html @@ -0,0 +1 @@ +cheddar@ChedHeads-MacBook-Pro-2.local.61986 \ No newline at end of file diff --git a/docs/_includes/page_header.html b/docs/_includes/page_header.html new file mode 100644 index 00000000000..df3d7e1e5a4 --- /dev/null +++ b/docs/_includes/page_header.html @@ -0,0 +1,27 @@ + + +
+
+
+ + Druid +
+
+ +
+
+
+ diff --git a/docs/_includes/site_head.html b/docs/_includes/site_head.html new file mode 100644 index 00000000000..148976f98fe --- /dev/null +++ b/docs/_includes/site_head.html @@ -0,0 +1,18 @@ + + + + + +Druid | {{page.title}} + + + + + + + + + + + + diff --git a/docs/_layouts/default.html b/docs/_layouts/default.html deleted file mode 100644 index 12106274e0f..00000000000 --- a/docs/_layouts/default.html +++ /dev/null @@ -1,147 +0,0 @@ - - - - - Druid | {{page.title}} - - - - - - - - - - - -
- -
-
-
-
-
- - Home -
- -
-
-
-
-
- {% if page.id == 'home' %} -

Druid is open-source infrastructure for real²time exploratory analytics on large datasets.

- - {% endif %} -
- -
- - {{ content }} - -
-
- - - - - - diff --git a/docs/_layouts/doc_page.html b/docs/_layouts/doc_page.html new file mode 100644 index 00000000000..b457e99490c --- /dev/null +++ b/docs/_layouts/doc_page.html @@ -0,0 +1,38 @@ + + + + {% include site_head.html %} + + + + + + + + {% include page_header.html %} + +
+
+

Documentation

+
+ +
+
+
+ +
+ {{ content }} +
+
+
+ + + + + + + diff --git a/docs/_layouts/docs.html b/docs/_layouts/docs.html deleted file mode 100644 index cb38f8c336e..00000000000 --- a/docs/_layouts/docs.html +++ /dev/null @@ -1,8 +0,0 @@ ---- -layout: default ---- -
- - {{ content }} - -
diff --git a/docs/_layouts/docs_default.html b/docs/_layouts/docs_default.html deleted file mode 100644 index ec0b870838a..00000000000 --- a/docs/_layouts/docs_default.html +++ /dev/null @@ -1,147 +0,0 @@ - - - - - Druid | {{page.title}} - - - - - - - - - - - -
- -
-
-
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-
- - Home -
- -
-
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-
-
- {% if page.id == 'home' %} -

Druid is open-source infrastructure for real²time exploratory analytics on large datasets.

- - {% endif %} -
- -
- - {{ content }} - -
-
- - - - - - diff --git a/docs/_layouts/page.html b/docs/_layouts/page.html deleted file mode 100644 index b5ebfb17ace..00000000000 --- a/docs/_layouts/page.html +++ /dev/null @@ -1,11 +0,0 @@ ---- -layout: default ---- - -
-
- - {{ content }} - -
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diff --git a/docs/_layouts/post.html b/docs/_layouts/post.html deleted file mode 100644 index affb233fd23..00000000000 --- a/docs/_layouts/post.html +++ /dev/null @@ -1,44 +0,0 @@ ---- -layout: default -sectionid: blog ---- - -
-
-

Recent posts

- -
- -
-
-

- {{ page.title }} - {{ page.date | date: "%B %e, %Y" }} · {{ page.author | upcase }} -

- - {% if page.image %}{{ page.title }}{% endif %} - - {{ content }} - -
- - - comments powered by Disqus - -
-
-
diff --git a/docs/content/Aggregations.md b/docs/content/Aggregations.md index b530b691b41..bceee97da04 100644 --- a/docs/content/Aggregations.md +++ b/docs/content/Aggregations.md @@ -1,5 +1,5 @@ --- -layout: docs_default +layout: doc_page --- Aggregations are specifications of processing over metrics available in Druid. Available aggregations are: @@ -87,4 +87,4 @@ All JavaScript functions must return numerical values. "fnAggregate" : "function(current, a, b) { return current + (Math.log(a) * b); }" "fnCombine" : "function(partialA, partialB) { return partialA + partialB; }" "fnReset" : "function() { return 10; }" - } \ No newline at end of file + } diff --git a/docs/content/Batch-ingestion.md b/docs/content/Batch-ingestion.md index 42a42ac7b29..66d06d90955 100644 --- a/docs/content/Batch-ingestion.md +++ b/docs/content/Batch-ingestion.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Batch Data Ingestion ==================== diff --git a/docs/content/Booting-a-production-cluster.md b/docs/content/Booting-a-production-cluster.md index f7e5444ab8e..fc17f70b3e2 100644 --- a/docs/content/Booting-a-production-cluster.md +++ b/docs/content/Booting-a-production-cluster.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- # Booting a Single Node Cluster # @@ -27,4 +27,4 @@ cd whirr git checkout trunk mvn clean install -Dmaven.test.failure.ignore=true -Dcheckstyle.skip sp;bin/whirr launch-cluster --config recipes/druid.properties -``` \ No newline at end of file +``` diff --git a/docs/content/Broker.md b/docs/content/Broker.md index fee33bedc83..be5e2142dbf 100644 --- a/docs/content/Broker.md +++ b/docs/content/Broker.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Broker ====== diff --git a/docs/content/Build-from-source.md b/docs/content/Build-from-source.md index 3f323259b80..5606dd531cb 100644 --- a/docs/content/Build-from-source.md +++ b/docs/content/Build-from-source.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- ### Clone and Build from Source diff --git a/docs/content/Cluster-setup.md b/docs/content/Cluster-setup.md index b8281e99468..ecd9f669360 100644 --- a/docs/content/Cluster-setup.md +++ b/docs/content/Cluster-setup.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- A Druid cluster consists of various node types that need to be set up depending on your use case. See our [Design](Design.html) docs for a description of the different node types. diff --git a/docs/content/Compute.md b/docs/content/Compute.md index e7df17ebbd5..2994fed97c2 100644 --- a/docs/content/Compute.md +++ b/docs/content/Compute.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Compute ======= diff --git a/docs/content/Concepts-and-Terminology.md b/docs/content/Concepts-and-Terminology.md index 925941dd8c5..c5de9a2b44c 100644 --- a/docs/content/Concepts-and-Terminology.md +++ b/docs/content/Concepts-and-Terminology.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Concepts and Terminology ======================== diff --git a/docs/content/Configuration.md b/docs/content/Configuration.md index 4042d02d825..ac8d22e1acc 100644 --- a/docs/content/Configuration.md +++ b/docs/content/Configuration.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- This describes the basic server configuration that is loaded by all the server processes; the same file is loaded by all. See also the json “specFile” descriptions in [Realtime](Realtime.html) and [Batch-ingestion](Batch-ingestion.html). @@ -8,7 +8,7 @@ JVM Configuration Best Practices There are three JVM parameters that we set on all of our processes: -1. `-Duser.timezone=UTC` This sets the default timezone of the JVM to UTC. We always set this and do not test with other default timezones, so local timezones might work, but they also might uncover weird and interesting bugs +1. `-Duser.timezone=UTC` This sets the doc_page timezone of the JVM to UTC. We always set this and do not test with other default timezones, so local timezones might work, but they also might uncover weird and interesting bugs 2. `-Dfile.encoding=UTF-8` This is similar to timezone, we test assuming UTF-8. Local encodings might work, but they also might result in weird and interesting bugs 3. `-Djava.io.tmpdir=` Various parts of the system that interact with the file system do it via temporary files, these files can get somewhat large. Many production systems are setup to have small (but fast) `/tmp` directories, these can be problematic with Druid so we recommend pointing the JVM’s tmp directory to something with a little more meat. @@ -50,7 +50,7 @@ An example runtime.properties is as follows: druid.zk.service.host= # ZK path prefix for Druid-usage of zookeeper, Druid will create multiple paths underneath this znode druid.zk.paths.base=/druid - # ZK path for discovery, the only path not to default to anything + # ZK path for discovery, the only path not to doc_page to anything druid.zk.paths.discoveryPath=/druid/discoveryPath # the host:port as advertised to clients diff --git a/docs/content/Contribute.md b/docs/content/Contribute.md index a853eb430d2..197e52e320d 100644 --- a/docs/content/Contribute.md +++ b/docs/content/Contribute.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- If you are interested in contributing to the code, we accept [pull requests](https://help.github.com/articles/using-pull-requests). Note: we have only just completed decoupling our Metamarkets-specific code from the code base and we took some short-cuts in interface design to make it happen. So, there are a number of interfaces that exist right now which are likely to be in flux. If you are embedding Druid in your system, it will be safest for the time being to only extend/implement interfaces that this wiki describes, as those are intended as stable (unless otherwise mentioned). diff --git a/docs/content/Deep-Storage.md b/docs/content/Deep-Storage.md index bd9a0ec8a66..207ebb46911 100644 --- a/docs/content/Deep-Storage.md +++ b/docs/content/Deep-Storage.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Deep storage is where segments are stored. It is a storage mechanism that Druid does not provide. This deep storage infrastructure defines the level of durability of your data, as long as Druid nodes can see this storage infrastructure and get at the segments stored on it, you will not lose data no matter how many Druid nodes you lose. If segments disappear from this storage layer, then you will lose whatever data those segments represented. @@ -7,7 +7,7 @@ The currently supported types of deep storage follow. ## S3-compatible -S3-compatible deep storage is basically either S3 or something like riak-cs which exposes the same API as S3. This is the default deep storage implementation. +S3-compatible deep storage is basically either S3 or something like riak-cs which exposes the same API as S3. This is the doc_page deep storage implementation. S3 configuration parameters are @@ -39,4 +39,4 @@ In order to use a local mount for deep storage, you need to set the following co Note that you should generally set `druid.pusher.local.storageDirectory` to something different from `druid.paths.indexCache`. -If you are using the Hadoop indexer in local mode, then just give it a local file as your output directory and it will work. \ No newline at end of file +If you are using the Hadoop indexer in local mode, then just give it a local file as your output directory and it will work. diff --git a/docs/content/Design.md b/docs/content/Design.md index 25d69d95fe8..03c5d37fe47 100644 --- a/docs/content/Design.md +++ b/docs/content/Design.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- For a comprehensive look at the architecture of Druid, read the [White Paper](http://static.druid.io/docs/druid.pdf). diff --git a/docs/content/Download.md b/docs/content/Download.md index 1bf1352de58..36328d4fe72 100644 --- a/docs/content/Download.md +++ b/docs/content/Download.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- A version may be declared as a release candidate if it has been deployed to a sizable production cluster. Release candidates are declared as stable after we feel fairly confident there are no major bugs in the version. Check out the [Versioning](Versioning.html) section for how we describe software versions. diff --git a/docs/content/Druid-Personal-Demo-Cluster.md b/docs/content/Druid-Personal-Demo-Cluster.md index 0ef9834f198..172f76c53f8 100644 --- a/docs/content/Druid-Personal-Demo-Cluster.md +++ b/docs/content/Druid-Personal-Demo-Cluster.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- # Druid Personal Demo Cluster (DPDC) @@ -68,7 +68,7 @@ This guide walks you through the steps to create the cluster and then how to cre **`http://IPAddressDruidMaster:8082/druid/v3/demoServlet`** -As you can see from the image below, there are default values in the Dimensions and Granularity fields. Clicking **Execute** will produce a basic query result. +As you can see from the image below, there are doc_page values in the Dimensions and Granularity fields. Clicking **Execute** will produce a basic query result. ![Demo Query Interface](images/demo/query-1.png) 1. Note: when the Query is in running the **Execute** button will be disabled and read: **Fetching…** diff --git a/docs/content/Druid-vs-Cassandra.md b/docs/content/Druid-vs-Cassandra.md index e191dde2af7..4ef29a1ab36 100644 --- a/docs/content/Druid-vs-Cassandra.md +++ b/docs/content/Druid-vs-Cassandra.md @@ -1,8 +1,8 @@ --- -layout: default +layout: doc_page --- We are not experts on Cassandra, if anything is incorrect about our portrayal, please let us know on the mailing list or via some other means. We will fix this page. Druid is highly optimized for scans and aggregations, it supports arbitrarily deep drill downs into data sets without the need to pre-compute, and it can ingest event streams in real-time and allow users to query events as they come in. Cassandra is a great key-value store and it has some features that allow you to use it to do more interesting things than what you can do with a pure key-value store. But, it is not built for the same use cases that Druid handles, namely regularly scanning over billions of entries per query. -Furthermore, Druid is fully read-consistent. Druid breaks down a data set into immutable chunks known as segments. All replicants always present the exact same view for the piece of data they are holding and we don’t have to worry about data synchronization. The tradeoff is that Druid has limited semantics for write and update operations. Cassandra, similar to Amazon’s Dynamo, has an eventually consistent data model. Writes are always supported but updates to data may take some time before all replicas sync up (data reconciliation is done at read time). This model favors availability and scalability over consistency. \ No newline at end of file +Furthermore, Druid is fully read-consistent. Druid breaks down a data set into immutable chunks known as segments. All replicants always present the exact same view for the piece of data they are holding and we don’t have to worry about data synchronization. The tradeoff is that Druid has limited semantics for write and update operations. Cassandra, similar to Amazon’s Dynamo, has an eventually consistent data model. Writes are always supported but updates to data may take some time before all replicas sync up (data reconciliation is done at read time). This model favors availability and scalability over consistency. diff --git a/docs/content/Druid-vs-Hadoop.md b/docs/content/Druid-vs-Hadoop.md index 37559b1da8f..d0aff0dac77 100644 --- a/docs/content/Druid-vs-Hadoop.md +++ b/docs/content/Druid-vs-Hadoop.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Druid is a complementary addition to Hadoop. Hadoop is great at storing and making accessible large amounts of individually low-value data. Unfortunately, Hadoop is not great at providing query speed guarantees on top of that data, nor does it have very good operational characteristics for a customer-facing production system. Druid, on the other hand, excels at taking high-value summaries of the low-value data on Hadoop, making it available in a fast and always-on fashion, such that it could be exposed directly to a customer. diff --git a/docs/content/Druid-vs-Impala-or-Shark.md b/docs/content/Druid-vs-Impala-or-Shark.md index ee59b3def0c..cb658c8e087 100644 --- a/docs/content/Druid-vs-Impala-or-Shark.md +++ b/docs/content/Druid-vs-Impala-or-Shark.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- The question of Druid versus Impala or Shark basically comes down to your product requirements and what the systems were designed to do. @@ -42,4 +42,4 @@ Impala/Shark, being based on data in HDFS or some other backing store, are limit Druid supports timeseries and groupBy style queries. It doesn't have support for joins, which makes it a lot less flexible for generic processing. -Impala/Shark support SQL style queries with full joins. \ No newline at end of file +Impala/Shark support SQL style queries with full joins. diff --git a/docs/content/Druid-vs-redshift.md b/docs/content/Druid-vs-redshift.md index 8469209b10b..35a81b5c192 100644 --- a/docs/content/Druid-vs-redshift.md +++ b/docs/content/Druid-vs-redshift.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- ###How does Druid compare to Redshift? @@ -37,4 +37,4 @@ ParAccel’s hash-based distribution generally means that replication is conduct Along with column oriented structures, Druid uses indexing structures to speed up query execution when a filter is provided. Indexing structures do increase storage overhead (and make it more difficult to allow for mutation), but they can also significantly speed up queries. -ParAccel does not appear to employ indexing strategies. \ No newline at end of file +ParAccel does not appear to employ indexing strategies. diff --git a/docs/content/Druid-vs-vertica.md b/docs/content/Druid-vs-vertica.md index 535e5e06300..2d63d2389ec 100644 --- a/docs/content/Druid-vs-vertica.md +++ b/docs/content/Druid-vs-vertica.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- How does Druid compare to Vertica? diff --git a/docs/content/Examples.md b/docs/content/Examples.md index 4207911464b..9b7fc736cad 100644 --- a/docs/content/Examples.md +++ b/docs/content/Examples.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Examples ======== @@ -15,21 +15,22 @@ There are two options for installing standalone Druid. Building from source, and Clone Druid and build it: - git clone https://github.com/metamx/druid.git druid - cd druid - git fetch --tags - git checkout druid-0.4.30 - ./build.sh - +``` bash +git clone https://github.com/metamx/druid.git druid +cd druid +git fetch --tags +git checkout druid-0.4.30 +./build.sh +``` ### Downloading the DSK (Druid Standalone Kit) [Download](http://static.druid.io/data/examples/druid-services-0.4.6.tar.gz) a stand-alone tarball and run it: - - tar -xzf druid-services-0.X.X-SNAPSHOT-bin.tar.gz - cd druid-services-0.X.X-SNAPSHOT - +``` bash +tar -xzf druid-services-0.X.X-SNAPSHOT-bin.tar.gz +cd druid-services-0.X.X-SNAPSHOT +``` Twitter Example --------------- @@ -39,12 +40,12 @@ For a full tutorial based on the twitter example, check out this [Twitter Tutori This Example uses a feature of Twitter that allows for sampling of it’s stream. We sample the Twitter stream via our [TwitterSpritzerFirehoseFactory](https://github.com/metamx/druid/blob/master/examples/src/main/java/druid/examples/twitter/TwitterSpritzerFirehoseFactory.java) class and use it to simulate the kinds of data you might ingest into Druid. Then, with the client part, the sample shows what kinds of analytics explorations you can do during and after the data is loaded. ### What you’ll learn -\* See how large amounts of data gets ingested into Druid in real-time -\* Learn how to do fast, interactive, analytics queries on that real-time data +* See how large amounts of data gets ingested into Druid in real-time +* Learn how to do fast, interactive, analytics queries on that real-time data ### What you need -\* A build of standalone Druid with the Twitter example (see above) -\* A Twitter username and password. +* A build of standalone Druid with the Twitter example (see above) +* A Twitter username and password. ### What you’ll do @@ -57,12 +58,15 @@ This uses `RandomFirehoseFactory` which emits a stream of random numbers (outCol In a terminal window, (NOTE: If you are using the cloned Github repository these scripts are in ./examples/bin) start the server with: -`./run_example_server.sh` -`# type rand when prompted` +``` bash +./run_example_server.sh # type rand when prompted +``` In another terminal window: -`./run_example_client.sh` -`# type rand when prompted` +``` bash +./run_example_client.sh # type rand when prompted +``` -The result of the client query is in JSON format. The client makes a REST request using the program `curl` which is usually installed on Linux, Unix, and OSX by default. + +The result of the client query is in JSON format. The client makes a REST request using the program `curl` which is usually installed on Linux, Unix, and OSX by doc_page. diff --git a/docs/content/Filters.md b/docs/content/Filters.md index 41ae91f93e2..64e7c718ef3 100644 --- a/docs/content/Filters.md +++ b/docs/content/Filters.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- A filter is a JSON object indicating which rows of data should be included in the computation for a query. It’s essentially the equivalent of the WHERE clause in SQL. Druid supports the following types of filters. diff --git a/docs/content/Firehose.md b/docs/content/Firehose.md index 92c5caa2386..1fd43418407 100644 --- a/docs/content/Firehose.md +++ b/docs/content/Firehose.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Firehoses describe the data stream source. They are pluggable and thus the configuration schema can and will vary based on the `type` of the firehose. diff --git a/docs/content/Granularities.md b/docs/content/Granularities.md index 0cb25a7a5df..f31d4d2ec5f 100644 --- a/docs/content/Granularities.md +++ b/docs/content/Granularities.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- The granularity field determines how data gets bucketed across the time dimension, i.e how it gets aggregated by hour, day, minute, etc. @@ -17,7 +17,7 @@ Supported granularity strings are: `all`, `none`, `minute`, `fifteen_minute`, `t Duration granularities are specified as an exact duration in milliseconds and timestamps are returned as UTC. -They also support specifying an optional origin, which defines where to start counting time buckets from (defaults to 1970-01-01T00:00:00Z). +They also support specifying an optional origin, which defines where to start counting time buckets from (doc_pages to 1970-01-01T00:00:00Z). {"type": "duration", "duration": "7200000"} @@ -33,10 +33,10 @@ Period granularities are specified as arbitrary period combinations of years, mo They support specifying a time zone which determines where period boundaries start and also determines the timezone of the returned timestamps. -By default years start on the first of January, months start on the first of the month and weeks start on Mondays unless an origin is specified. +By doc_page years start on the first of January, months start on the first of the month and weeks start on Mondays unless an origin is specified. -Time zone is optional (defaults to UTC) -Origin is optional (defaults to 1970-01-01T00:00:00 in the given time zone) +Time zone is optional (doc_pages to UTC) +Origin is optional (doc_pages to 1970-01-01T00:00:00 in the given time zone) {"type": "period", "period": "P2D", "timeZone": "America/Los_Angeles"} diff --git a/docs/content/GroupByQuery.md b/docs/content/GroupByQuery.md index 01edc6bdc7e..5acdf9ae334 100644 --- a/docs/content/GroupByQuery.md +++ b/docs/content/GroupByQuery.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- These types of queries take a groupBy query object and return an array of JSON objects where each object represents a grouping asked for by the query. @@ -13,7 +13,7 @@ An example groupBy query object is shown below: [granularity]() “day”, [dimensions]() [“dim1”, “dim2”], [limitSpec]() { - [type]() “default”, + [type]() “doc_page”, [limit]() 5000, [columns]() [“dim1”, “metric1”] }, diff --git a/docs/content/Having.md b/docs/content/Having.md index 62ab4644451..abf0c46de79 100644 --- a/docs/content/Having.md +++ b/docs/content/Having.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- A having clause is a JSON object identifying which rows from a groupBy query should be returned, by specifying conditions on aggregated values. diff --git a/docs/content/Home.md b/docs/content/Home.md index 8587aae4749..d7542e9fa70 100644 --- a/docs/content/Home.md +++ b/docs/content/Home.md @@ -1,10 +1,11 @@ --- -layout: default +layout: doc_page --- + Druid is an open-source analytics datastore designed for realtime, exploratory, queries on large-scale data sets (100’s of Billions entries, 100’s TB data). Druid provides for cost effective, always-on, realtime data ingestion and arbitrary data exploration. - Check out some [Examples](Examples.html) -- Try out Druid with our Getting Started [Tutorial](https://github.com/metamx/druid/wiki/Tutorial%3A-A-First-Look-at-Druid) +- Try out Druid with our Getting Started [Tutorial](./Tutorial%3A-A-First-Look-at-Druid.html) - Learn more by reading the [White Paper](http://static.druid.io/docs/druid.pdf) Why Druid? @@ -24,25 +25,25 @@ We have more details about the general design of the system and why you might wa The data store world is vast, confusing and constantly in flux. This page is meant to help potential evaluators decide whether Druid is a good fit for the problem one needs to solve. If anything about it is incorrect please provide that feedback on the mailing list or via some other means, we will fix this page. #### When Druid? -\* You need to do interactive, fast, exploration of large amounts of data -\* You need analytics (not key value store) -\* You have a lot of data (10s of Billions of events added per day, 10s of TB of data added per day) -\* You want to do your analysis on data as it’s happening (realtime) -\* Your store needs to be always-on, 24x7x365 and years into the future. +* You need to do interactive, fast, exploration of large amounts of data +* You need analytics (not key value store) +* You have a lot of data (10s of Billions of events added per day, 10s of TB of data added per day) +* You want to do your analysis on data as it’s happening (realtime) +* Your store needs to be always-on, 24x7x365 and years into the future. #### Not Druid? -\* The amount of data you have can easily be handled by MySql -\* Your querying for individual entries or doing lookups (Not Analytics) -\* Batch is good enough -\* Canned queries is good enough -\* Downtime is no big deal +* The amount of data you have can easily be handled by MySql +* Your querying for individual entries or doing lookups (Not Analytics) +* Batch is good enough +* Canned queries is good enough +* Downtime is no big deal #### Druid vs… -\* [Druid-vs-Impala-or-Shark](Druid-vs-Impala-or-Shark.html) -\* [Druid-vs-Redshift](Druid-vs-Redshift.html) -\* [Druid-vs-Vertica](Druid-vs-Vertica.html) -\* [Druid-vs-Cassandra](Druid-vs-Cassandra.html) -\* [Druid-vs-Hadoop](Druid-vs-Hadoop.html) +* [Druid-vs-Impala-or-Shark](Druid-vs-Impala-or-Shark.html) +* [Druid-vs-Redshift](Druid-vs-Redshift.html) +* [Druid-vs-Vertica](Druid-vs-Vertica.html) +* [Druid-vs-Cassandra](Druid-vs-Cassandra.html) +* [Druid-vs-Hadoop](Druid-vs-Hadoop.html) Key Features ------------ diff --git a/docs/content/Indexing-Service.md b/docs/content/Indexing-Service.md index d878e1b4176..f0ba43da46b 100644 --- a/docs/content/Indexing-Service.md +++ b/docs/content/Indexing-Service.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Disclaimer: We are still in the process of finalizing the indexing service and these configs are prone to change at any time. We will announce when we feel the indexing service and the configurations described are stable. diff --git a/docs/content/Libraries.md b/docs/content/Libraries.md index 0c57ffab3e8..e2464cd39f9 100644 --- a/docs/content/Libraries.md +++ b/docs/content/Libraries.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- ### R diff --git a/docs/content/Loading-Your-Data.md b/docs/content/Loading-Your-Data.md index 2e27fad8303..6e0f1ed823f 100644 --- a/docs/content/Loading-Your-Data.md +++ b/docs/content/Loading-Your-Data.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Once you have a realtime node working, it is time to load your own data to see how Druid performs. @@ -7,6 +7,7 @@ Druid can ingest data in three ways: via Kafka and a realtime node, via the inde ## Create Config Directories ## Each type of node needs its own config file and directory, so create them as subdirectories under the druid directory. + ```bash mkdir config mkdir config/realtime @@ -17,7 +18,7 @@ mkdir config/broker ## Loading Data with Kafka ## -[KafkaFirehoseFactory](https://github.com/metamx/druid/blob/master/realtime/src/main/java/com/metamx/druid/realtime/firehose/KafkaFirehoseFactory.java) is how druid communicates with Kafka. Using this [Firehose](Firehose.html) with the right configuration, we can import data into Druid in realtime without writing any code. To load data to a realtime node via Kafka, we'll first need to initialize Zookeeper and Kafka, and then configure and initialize a [Realtime](Realtime.html) node. +[KafkaFirehoseFactory](https://github.com/metamx/druid/blob/druid-0.5.x/realtime/src/main/java/com/metamx/druid/realtime/firehose/KafkaFirehoseFactory.java) is how druid communicates with Kafka. Using this [Firehose](Firehose.html) with the right configuration, we can import data into Druid in realtime without writing any code. To load data to a realtime node via Kafka, we'll first need to initialize Zookeeper and Kafka, and then configure and initialize a [Realtime](Realtime.html) node. ### Booting Kafka ### @@ -45,8 +46,8 @@ bin/kafka-server-start.sh config/server.properties ```bash bin/kafka-console-producer.sh --zookeeper localhost:2181 --topic druidtest ``` -### Launching a Realtime Node +### Launching a Realtime Node 1. Create a valid configuration file similar to this called config/realtime/runtime.properties: ``` druid.host=0.0.0.0:8080 @@ -81,8 +82,8 @@ druid.database.user=user druid.database.password=diurd druid.database.connectURI= druid.host=127.0.0.1:8080 - ``` + 2. Create a valid realtime configuration file similar to this called realtime.spec: ```json [{ @@ -114,12 +115,14 @@ druid.host=127.0.0.1:8080 }] ``` + 3. Launch the realtime node ```bash java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 \ -Ddruid.realtime.specFile=config/realtime/realtime.spec \ -classpath lib/*:config/realtime com.metamx.druid.realtime.RealtimeMain ``` + 4. Paste data into the Kafka console producer ```json {"utcdt": "2010-01-01T01:01:01", "wp": 1000, "gender": "male", "age": 100} @@ -128,12 +131,14 @@ java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 \ {"utcdt": "2010-01-01T01:01:04", "wp": 4000, "gender": "female", "age": 30} {"utcdt": "2010-01-01T01:01:05", "wp": 5000, "gender": "male", "age": 40} ``` + 5. Watch the events as they are ingested by Druid's realtime node ```bash ... 2013-06-17 21:41:55,569 INFO [Global--0] com.metamx.emitter.core.LoggingEmitter - Event [{"feed":"metrics","timestamp":"2013-06-17T21:41:55.569Z","service":"example","host":"127.0.0.1","metric":"events/processed","value":5,"user2":"druidtest"}] ... ``` + 6. In a new console, edit a file called query.body: ```json { @@ -149,11 +154,13 @@ java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 \ "intervals": ["2010-01-01T00:00/2020-01-01T00"] } ``` + 7. Submit the query via curl ```bash curl -X POST "http://localhost:8080/druid/v2/?pretty" \ -H 'content-type: application/json' -d @query.body ``` + 8. View Result! ```json [ { @@ -165,6 +172,7 @@ curl -X POST "http://localhost:8080/druid/v2/?pretty" \ } } ] ``` + Now you're ready for [Querying Your Data](Querying-Your-Data.html)! ## Loading Data with the HadoopDruidIndexer ## @@ -177,13 +185,16 @@ The setup for a single node, 'standalone' Hadoop cluster is available at [http:/ 1. If you don't already have it, download MySQL Community Server here: [http://dev.mysql.com/downloads/mysql/](http://dev.mysql.com/downloads/mysql/) 2. Install MySQL 3. Create a druid user and database + ```bash mysql -u root ``` + ```sql GRANT ALL ON druid.* TO 'druid'@'localhost' IDENTIFIED BY 'diurd'; CREATE database druid; ``` + The [Master](Master.html) node will create the tables it needs based on its configuration. ### Make sure you have ZooKeeper Running ### @@ -209,6 +220,7 @@ cd .. If you've already setup a realtime node, be aware that although you can run multiple node types on one physical computer, you must assign them unique ports. Having used 8080 for the [Realtime](Realtime.html) node, we use 8081 for the [Master](Master.html). 1. Setup a configuration file called config/master/runtime.properties similar to: + ```bash druid.host=0.0.0.0:8081 druid.port=8081 @@ -252,6 +264,7 @@ druid.paths.indexCache=/tmp/druid/indexCache druid.paths.segmentInfoCache=/tmp/druid/segmentInfoCache ``` 2. Launch the [Master](Master.html) node + ```bash java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 \ -classpath lib/*:config/master \ @@ -260,6 +273,7 @@ com.metamx.druid.http.MasterMain ### Launch a Compute/Historical Node ### 1. Create a configuration file in config/compute/runtime.properties similar to: + ```bash druid.host=0.0.0.0:8082 druid.port=8082 @@ -304,7 +318,9 @@ druid.paths.segmentInfoCache=/tmp/druid/segmentInfoCache druid.pusher.local.storageDirectory=/tmp/druid/localStorage druid.pusher.local=true ``` + 2. Launch the compute node: + ```bash java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 \ -classpath lib/*:config/compute \ @@ -314,6 +330,7 @@ com.metamx.druid.http.ComputeMain ### Create a File of Records ### We can use the same records we have been, in a file called records.json: + ```json {"utcdt": "2010-01-01T01:01:01", "wp": 1000, "gender": "male", "age": 100} {"utcdt": "2010-01-01T01:01:02", "wp": 2000, "gender": "female", "age": 50} @@ -327,6 +344,7 @@ We can use the same records we have been, in a file called records.json: Now its time to run the Hadoop [Batch-ingestion](Batch-ingestion.html) job, HadoopDruidIndexer, which will fill a historical [Compute](Compute.html) node with data. First we'll need to configure the job. 1. Create a config called batchConfig.json similar to: + ```json { "dataSource": "druidtest", @@ -362,9 +380,11 @@ Now its time to run the Hadoop [Batch-ingestion](Batch-ingestion.html) job, Hado } } ``` + 2. Now run the job, with the config pointing at batchConfig.json: + ```bash java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 -Ddruid.realtime.specFile=realtime.spec -classpath lib/* com.metamx.druid.indexer.HadoopDruidIndexerMain batchConfig.json ``` -You can now move on to [Querying Your Data](Querying-Your-Data.html)! \ No newline at end of file +You can now move on to [Querying Your Data](Querying-Your-Data.html)! diff --git a/docs/content/Master.md b/docs/content/Master.md index eb86a3e81fd..c09f1cd0b55 100644 --- a/docs/content/Master.md +++ b/docs/content/Master.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Master ====== @@ -13,7 +13,7 @@ Before any unassigned segments are serviced by compute nodes, the available comp Rules ----- -Segments are loaded and dropped from the cluster based on a set of rules. Rules indicate how segments should be assigned to different compute node tiers and how many replicants of a segment should exist in each tier. Rules may also indicate when segments should be dropped entirely from the cluster. The master loads a set of rules from the database. Rules may be specific to a certain datasource and/or a default set of rules can be configured. Rules are read in order and hence the ordering of rules is important. The master will cycle through all available segments and match each segment with the first rule that applies. Each segment may only match a single rule +Segments are loaded and dropped from the cluster based on a set of rules. Rules indicate how segments should be assigned to different compute node tiers and how many replicants of a segment should exist in each tier. Rules may also indicate when segments should be dropped entirely from the cluster. The master loads a set of rules from the database. Rules may be specific to a certain datasource and/or a doc_page set of rules can be configured. Rules are read in order and hence the ordering of rules is important. The master will cycle through all available segments and match each segment with the first rule that applies. Each segment may only match a single rule For more information on rules, see [Rule Configuration](Rule-Configuration.html). @@ -63,7 +63,7 @@ The master node exposes several HTTP endpoints for interactions. /info/datasources/{dataSourceName}/segments/{segmentId} - returns full segment metadata for a specific segment -/info/rules - returns all rules for all data sources in the cluster including the default datasource. +/info/rules - returns all rules for all data sources in the cluster including the doc_page datasource. /info/rules/{dataSourceName} - returns all rules for a specified datasource @@ -76,7 +76,7 @@ The Master Console The Druid master exposes a web GUI for displaying cluster information and rule configuration. After the master starts, the console can be accessed at http://HOST:PORT/static/. There exists a full cluster view, as well as views for individual compute nodes, datasources and segments themselves. Segment information can be displayed in raw JSON form or as part of a sortable and filterable table. -The master console also exposes an interface to creating and editing rules. All valid datasources configured in the segment database, along with a default datasource, are available for configuration. Rules of different types can be added, deleted or edited. +The master console also exposes an interface to creating and editing rules. All valid datasources configured in the segment database, along with a doc_page datasource, are available for configuration. Rules of different types can be added, deleted or edited. FAQ --- diff --git a/docs/content/MySQL.md b/docs/content/MySQL.md index 713ad0ab18d..8f6e2856f94 100644 --- a/docs/content/MySQL.md +++ b/docs/content/MySQL.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- MySQL is an external dependency of Druid. We use it to store various metadata about the system, but not to store the actual data. There are a number of tables used for various purposes described below. diff --git a/docs/content/OrderBy.md b/docs/content/OrderBy.md index 9dcffff7886..37ab55ed5c2 100644 --- a/docs/content/OrderBy.md +++ b/docs/content/OrderBy.md @@ -1,15 +1,15 @@ --- -layout: default +layout: doc_page --- The orderBy field provides the functionality to sort and limit the set of results from a groupBy query. Available options are: ### DefaultLimitSpec -The default limit spec takes a limit and the list of columns to do an orderBy operation over. The grammar is: +The doc_page limit spec takes a limit and the list of columns to do an orderBy operation over. The grammar is: { - "type" : "default", + "type" : "doc_page", "limit" : , "columns" : [list of OrderByColumnSpec], } diff --git a/docs/content/Plumber.md b/docs/content/Plumber.md index b2123e94393..0f851440480 100644 --- a/docs/content/Plumber.md +++ b/docs/content/Plumber.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- The Plumber is the thing that handles generated segments both while they are being generated and when they are “done”. This is also technically a pluggable interface and there are multiple implementations, but there are a lot of details handled by the plumber such that it is expected that there will only be a few implementations and only more advanced third-parties will implement their own. See [here](https://github.com/metamx/druid/wiki/Plumber#available-plumbers) for a description of the plumbers included with Druid. diff --git a/docs/content/Post-aggregations.md b/docs/content/Post-aggregations.md index 2e11f98d0e0..c4a98d385f2 100644 --- a/docs/content/Post-aggregations.md +++ b/docs/content/Post-aggregations.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Post-aggregations are specifications of processing that should happen on aggregated values as they come out of Druid. If you include a post aggregation as part of a query, make sure to include all aggregators the post-aggregator requires. diff --git a/docs/content/Querying-your-data.md b/docs/content/Querying-your-data.md index dc3e04d645c..f23e6f90801 100644 --- a/docs/content/Querying-your-data.md +++ b/docs/content/Querying-your-data.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- # Setup # @@ -363,4 +363,4 @@ Check out [Filters](Filters.html) for more. ## Learn More ## -You can learn more about querying at [Querying](Querying.html)! Now check out [Booting a production cluster](Booting-a-production-cluster.html)! \ No newline at end of file +You can learn more about querying at [Querying](Querying.html)! Now check out [Booting a production cluster](Booting-a-production-cluster.html)! diff --git a/docs/content/Querying.md b/docs/content/Querying.md index 7e613a074ec..25c199ec0b9 100644 --- a/docs/content/Querying.md +++ b/docs/content/Querying.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Querying ======== @@ -104,7 +104,7 @@ The following table summarizes query properties. |groupBy|dimensions|constrains the groupings; if empty, then one value per time granularity bucket|yes| |timeseries, groupBy|aggregations|aggregations that combine values in a bucket. See [Aggregations](Aggregations.html).|yes| |timeseries, groupBy|postAggregations|aggregations of aggregations. See [Post Aggregations](Post Aggregations.html).|yes| -|search|limit|maximum number of results (default is 1000), a system-level maximum can also be set via `com.metamx.query.search.maxSearchLimit`|no| +|search|limit|maximum number of results (doc_page is 1000), a system-level maximum can also be set via `com.metamx.query.search.maxSearchLimit`|no| |search|searchDimensions|Dimensions to apply the search query to. If not specified, it will search through all dimensions.|no| |search|query|The query portion of the search query. This is essentially a predicate that specifies if something matches.|yes| diff --git a/docs/content/Realtime.md b/docs/content/Realtime.md index 855607d7eb5..28c035e1185 100644 --- a/docs/content/Realtime.md +++ b/docs/content/Realtime.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Realtime ======== diff --git a/docs/content/Rule-Configuration.md b/docs/content/Rule-Configuration.md index 2695da646ab..6bc095a1040 100644 --- a/docs/content/Rule-Configuration.md +++ b/docs/content/Rule-Configuration.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Note: It is recommended that the master console is used to configure rules. However, the master node does have HTTP endpoints to programmatically configure rules. diff --git a/docs/content/SearchQuery.md b/docs/content/SearchQuery.md index b206f652c6e..9449d3a932f 100644 --- a/docs/content/SearchQuery.md +++ b/docs/content/SearchQuery.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- A search query returns dimension values that match the search specification. diff --git a/docs/content/SearchQuerySpec.md b/docs/content/SearchQuerySpec.md index 9b9db04b8e6..66a27d70ba4 100644 --- a/docs/content/SearchQuerySpec.md +++ b/docs/content/SearchQuerySpec.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Search query specs define how a “match” is defined between a search value and a dimension value. The available search query specs are: diff --git a/docs/content/SegmentMetadataQuery.md b/docs/content/SegmentMetadataQuery.md index 0e6eefb78e1..698ec8e3c31 100644 --- a/docs/content/SegmentMetadataQuery.md +++ b/docs/content/SegmentMetadataQuery.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Segment metadata queries return per segment information about: \* Cardinality of all columns in the segment diff --git a/docs/content/Segments.md b/docs/content/Segments.md index 5af50cd8e48..45537f5bda3 100644 --- a/docs/content/Segments.md +++ b/docs/content/Segments.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Segments ======== diff --git a/docs/content/Spatial-Filters.md b/docs/content/Spatial-Filters.md index 2ca83b9a3f9..eacf2379d9c 100644 --- a/docs/content/Spatial-Filters.md +++ b/docs/content/Spatial-Filters.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Note: This feature is highly experimental and only works with spatially indexed dimensions. diff --git a/docs/content/Spatial-Indexing.md b/docs/content/Spatial-Indexing.md index 1df36593433..0c866bc6a50 100644 --- a/docs/content/Spatial-Indexing.md +++ b/docs/content/Spatial-Indexing.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Note: This feature is highly experimental. diff --git a/docs/content/Stand-Alone-With-Riak-CS.md b/docs/content/Stand-Alone-With-Riak-CS.md index d1dc8f780d8..1efb0ea3398 100644 --- a/docs/content/Stand-Alone-With-Riak-CS.md +++ b/docs/content/Stand-Alone-With-Riak-CS.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- This page describes how to use Riak-CS for deep storage instead of S3. We are still setting up some of the peripheral stuff (file downloads, etc.). @@ -223,4 +223,4 @@ This just walks through getting the relevant software installed and running. Yo /etc/init.d/druid_master start /etc/init.d/druid_realtime start /etc/init.d/druid_broker start - /etc/init.d/druid_compute start \ No newline at end of file + /etc/init.d/druid_compute start diff --git a/docs/content/Support.md b/docs/content/Support.md index 3dd512e050f..421cdec7ee4 100644 --- a/docs/content/Support.md +++ b/docs/content/Support.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Numerous backend engineers at [Metamarkets](http://www.metamarkets.com) work on Druid full-time. If you any questions about usage or code, feel free to contact any of us. diff --git a/docs/content/Tasks.md b/docs/content/Tasks.md index 95341f581ec..0949669edf8 100644 --- a/docs/content/Tasks.md +++ b/docs/content/Tasks.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Tasks are run on workers and always operate on a single datasource. Once an indexer coordinator node accepts a task, a lock is created for the datasource and interval specified in the task. Tasks do not need to explicitly release locks, they are released upon task completion. Tasks may potentially release locks early if they desire. Tasks ids are unique by naming them using UUIDs or the timestamp in which the task was created. Tasks are also part of a “task group”, which is a set of tasks that can share interval locks. diff --git a/docs/content/Thanks.md b/docs/content/Thanks.md index cb1c873cca0..f585789df25 100644 --- a/docs/content/Thanks.md +++ b/docs/content/Thanks.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- YourKit supports the Druid open source projects with its full-featured Java Profiler. @@ -8,4 +8,4 @@ Java and .NET applications. Take a look at YourKit's software products: YourKit Java Profiler and YourKit .NET -Profiler. \ No newline at end of file +Profiler. diff --git a/docs/content/TimeBoundaryQuery.md b/docs/content/TimeBoundaryQuery.md index bde4ca1c812..ce50e3ce517 100644 --- a/docs/content/TimeBoundaryQuery.md +++ b/docs/content/TimeBoundaryQuery.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Time boundary queries return the earliest and latest data points of a data set. The grammar is: diff --git a/docs/content/TimeseriesQuery.md b/docs/content/TimeseriesQuery.md index 62ebcee59f1..0b5b2a6bc25 100644 --- a/docs/content/TimeseriesQuery.md +++ b/docs/content/TimeseriesQuery.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Timeseries queries ================== diff --git a/docs/content/Tutorial:-A-First-Look-at-Druid.md b/docs/content/Tutorial:-A-First-Look-at-Druid.md index 987cf89fa28..67405e906e3 100644 --- a/docs/content/Tutorial:-A-First-Look-at-Druid.md +++ b/docs/content/Tutorial:-A-First-Look-at-Druid.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Greetings! This tutorial will help clarify some core Druid concepts. We will use a realtime dataset and issue some basic Druid queries. If you are ready to explore Druid, and learn a thing or two, read on! @@ -290,7 +290,7 @@ Let’s create the file: "page" ], "orderBy": { - "type": "default", + "type": "doc_page", "columns": [ { "dimension": "edit_count", diff --git a/docs/content/Tutorial:-The-Druid-Cluster.md b/docs/content/Tutorial:-The-Druid-Cluster.md index 282ec9fa7f8..81024928667 100644 --- a/docs/content/Tutorial:-The-Druid-Cluster.md +++ b/docs/content/Tutorial:-The-Druid-Cluster.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Welcome back! In our first [tutorial](https://github.com/metamx/druid/wiki/Tutorial%3A-A-First-Look-at-Druid), we introduced you to the most basic Druid setup: a single realtime node. We streamed in some data and queried it. Realtime nodes collect very recent data and periodically hand that data off to the rest of the Druid cluster. Some questions about the architecture must naturally come to mind. What does the rest of Druid cluster look like? How does Druid load available static data? @@ -86,7 +86,7 @@ Let's start up a few nodes and download our data. First things though, let's cre mkdir config ``` -If you are interested in learning more about Druid configuration files, check out this [link](https://github.com/metamx/druid/wiki/Configuration). Many aspects of Druid are customizable. For the purposes of this tutorial, we are going to use default values for most things. +If you are interested in learning more about Druid configuration files, check out this [link](https://github.com/metamx/druid/wiki/Configuration). Many aspects of Druid are customizable. For the purposes of this tutorial, we are going to use doc_page values for most things. ### Start a Master Node ### @@ -299,4 +299,4 @@ At this point, we can query the segment. For more information on querying, see t ## Next Steps ## Now that you have an understanding of what the Druid clsuter looks like, why not load some of your own data? -Check out the [Loading Your Own Data](https://github.com/metamx/druid/wiki/Loading-Your-Data) section for more info! \ No newline at end of file +Check out the [Loading Your Own Data](https://github.com/metamx/druid/wiki/Loading-Your-Data) section for more info! diff --git a/docs/content/Tutorial:-Webstream.md b/docs/content/Tutorial:-Webstream.md index bfb7ed73bed..4a191826a7f 100644 --- a/docs/content/Tutorial:-Webstream.md +++ b/docs/content/Tutorial:-Webstream.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Greetings! This tutorial will help clarify some core Druid concepts. We will use a realtime dataset and issue some basic Druid queries. If you are ready to explore Druid, and learn a thing or two, read on! @@ -261,7 +261,7 @@ Let’s create the file: "geo_region" ], "orderBy": { - "type": "default", + "type": "doc_page", "columns": [ { "dimension": "known_users", diff --git a/docs/content/Twitter-Tutorial.md b/docs/content/TwitTwit.md similarity index 58% rename from docs/content/Twitter-Tutorial.md rename to docs/content/TwitTwit.md index dc2151ec3e4..6e9aa2ff5e1 100644 --- a/docs/content/Twitter-Tutorial.md +++ b/docs/content/TwitTwit.md @@ -1,5 +1,5 @@ --- -layout: default +layout: doc_page --- Greetings! We see you’ve taken an interest in Druid. That’s awesome! Hopefully this tutorial will help clarify some core Druid concepts. We will go through one of the Real-time [Examples](Examples.html), and issue some basic Druid queries. The data source we’ll be working with is the [Twitter spritzer stream](https://dev.twitter.com/docs/streaming-apis/streams/public). If you are ready to explore Druid, brave its challenges, and maybe learn a thing or two, read on! @@ -22,32 +22,33 @@ Not too lost so far right? That’s great! If you cd into the directory: cd druid-services-0.4.6-SNAPSHOT You should see a bunch of files: -\* run\_example\_server.sh -\* run\_example\_client.sh -\* LICENSE, config, examples, lib directories + +* run_example_server.sh +* run_example_client.sh +* LICENSE, config, examples, lib directories ### Clone and Build from Source The other way to setup Druid is from source via git. To do so, run these commands: -\`\`\` +``` git clone git@github.com:metamx/druid.git cd druid git checkout druid-0.4.32-branch ./build.sh -\`\`\` +``` You should see a bunch of files: -\`\`\` +``` DruidCorporateCLA.pdf README common examples indexer pom.xml server -DruidIndividualCLA.pdf build.sh doc group\_by.body install publications services -LICENSE client eclipse\_formatting.xml index-common merger realtime -\`\`\` +DruidIndividualCLA.pdf build.sh doc group_by.body install publications services +LICENSE client eclipse_formatting.xml index-common merger realtime +``` You can find the example executables in the examples/bin directory: -\* run\_example\_server.sh -\* run\_example\_client.sh +* run_example_server.sh +* run_example_client.sh Running Example Scripts ----------------------- @@ -58,100 +59,103 @@ Let’s start doing stuff. You can start a Druid [Realtime](Realtime.html) node Select “twitter”. -You’ll need to register a new application with the twitter API, which only takes a minute. Go to [https://twitter.com/oauth\_clients/new](https://twitter.com/oauth_clients/new) and fill out the form and submit. Don’t worry, the home page and callback url can be anything. This will generate keys for the Twitter example application. Take note of the values for consumer key/secret and access token/secret. +You’ll need to register a new application with the twitter API, which only takes a minute. Go to [https://twitter.com/oauth_clients/new](https://twitter.com/oauth_clients/new) and fill out the form and submit. Don’t worry, the home page and callback url can be anything. This will generate keys for the Twitter example application. Take note of the values for consumer key/secret and access token/secret. Enter your credentials when prompted. Once the node starts up you will see a bunch of logs about setting up properties and connecting to the data source. If everything was successful, you should see messages of the form shown below. If you see crazy exceptions, you probably typed in your login information incorrectly. - - 2013-05-17 23:04:40,934 INFO [main] org.mortbay.log - Started SelectChannelConnector@0.0.0.0:8080 - 2013-05-17 23:04:40,935 INFO [main] com.metamx.common.lifecycle.Lifecycle$AnnotationBasedHandler - Invoking start method[public void com.metamx.druid.http.FileRequestLogger.start()] on object[com.metamx.druid.http.FileRequestLogger@42bb0406]. - 2013-05-17 23:04:41,578 INFO [Twitter Stream consumer-1[Establishing connection]] twitter4j.TwitterStreamImpl - Connection established. - 2013-05-17 23:04:41,578 INFO [Twitter Stream consumer-1[Establishing connection]] druid.examples.twitter.TwitterSpritzerFirehoseFactory - Connected_to_Twitter - 2013-05-17 23:04:41,578 INFO [Twitter Stream consumer-1[Establishing connection]] twitter4j.TwitterStreamImpl - Receiving status stream. - +``` +2013-05-17 23:04:40,934 INFO [main] org.mortbay.log - Started SelectChannelConnector@0.0.0.0:8080 +2013-05-17 23:04:40,935 INFO [main] com.metamx.common.lifecycle.Lifecycle$AnnotationBasedHandler - Invoking start method[public void com.metamx.druid.http.FileRequestLogger.start()] on object[com.metamx.druid.http.FileRequestLogger@42bb0406]. +2013-05-17 23:04:41,578 INFO [Twitter Stream consumer-1[Establishing connection]] twitter4j.TwitterStreamImpl - Connection established. +2013-05-17 23:04:41,578 INFO [Twitter Stream consumer-1[Establishing connection]] druid.examples.twitter.TwitterSpritzerFirehoseFactory - Connected_to_Twitter +2013-05-17 23:04:41,578 INFO [Twitter Stream consumer-1[Establishing connection]] twitter4j.TwitterStreamImpl - Receiving status stream. +``` Periodically, you’ll also see messages of the form: - - 2013-05-17 23:04:59,793 INFO [chief-twitterstream] druid.examples.twitter.TwitterSpritzerFirehoseFactory - nextRow() has returned 1,000 InputRows - +``` +2013-05-17 23:04:59,793 INFO [chief-twitterstream] druid.examples.twitter.TwitterSpritzerFirehoseFactory - nextRow() has returned 1,000 InputRows +``` These messages indicate you are ingesting events. The Druid real time-node ingests events in an in-memory buffer. Periodically, these events will be persisted to disk. Persisting to disk generates a whole bunch of logs: - - 2013-05-17 23:06:40,918 INFO [chief-twitterstream] com.metamx.druid.realtime.plumber.RealtimePlumberSchool - Submitting persist runnable for dataSource[twitterstream] - 2013-05-17 23:06:40,920 INFO [twitterstream-incremental-persist] com.metamx.druid.realtime.plumber.RealtimePlumberSchool - DataSource[twitterstream], Interval[2013-05-17T23:00:00.000Z/2013-05-18T00:00:00.000Z], persisting Hydrant[FireHydrant{index=com.metamx.druid.index.v1.IncrementalIndex@126212dd, queryable=com.metamx.druid.index.IncrementalIndexSegment@64c47498, count=0}] - 2013-05-17 23:06:40,937 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - Starting persist for interval[2013-05-17T23:00:00.000Z/2013-05-17T23:07:00.000Z], rows[4,666] - 2013-05-17 23:06:41,039 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - outDir[/tmp/example/twitter_realtime/basePersist/twitterstream/2013-05-17T23:00:00.000Z_2013-05-18T00:00:00.000Z/0/v8-tmp] completed index.drd in 11 millis. - 2013-05-17 23:06:41,070 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - outDir[/tmp/example/twitter_realtime/basePersist/twitterstream/2013-05-17T23:00:00.000Z_2013-05-18T00:00:00.000Z/0/v8-tmp] completed dim conversions in 31 millis. - 2013-05-17 23:06:41,275 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.CompressedPools - Allocating new chunkEncoder[1] - 2013-05-17 23:06:41,332 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - outDir[/tmp/example/twitter_realtime/basePersist/twitterstream/2013-05-17T23:00:00.000Z_2013-05-18T00:00:00.000Z/0/v8-tmp] completed walk through of 4,666 rows in 262 millis. - 2013-05-17 23:06:41,334 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - Starting dimension[htags] with cardinality[634] - 2013-05-17 23:06:41,381 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - Completed dimension[htags] in 49 millis. - 2013-05-17 23:06:41,382 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - Starting dimension[lang] with cardinality[19] - 2013-05-17 23:06:41,398 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - Completed dimension[lang] in 17 millis. - 2013-05-17 23:06:41,398 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - Starting dimension[utc_offset] with cardinality[32] - 2013-05-17 23:06:41,413 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - Completed dimension[utc_offset] in 15 millis. - 2013-05-17 23:06:41,413 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - outDir[/tmp/example/twitter_realtime/basePersist/twitterstream/2013-05-17T23:00:00.000Z_2013-05-18T00:00:00.000Z/0/v8-tmp] completed inverted.drd in 81 millis. - 2013-05-17 23:06:41,425 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexIO$DefaultIndexIOHandler - Converting v8[/tmp/example/twitter_realtime/basePersist/twitterstream/2013-05-17T23:00:00.000Z_2013-05-18T00:00:00.000Z/0/v8-tmp] to v9[/tmp/example/twitter_realtime/basePersist/twitterstream/2013-05-17T23:00:00.000Z_2013-05-18T00:00:00.000Z/0] - 2013-05-17 23:06:41,426 INFO [twitterstream-incremental-persist] - ... ETC - +``` +2013-05-17 23:06:40,918 INFO [chief-twitterstream] com.metamx.druid.realtime.plumber.RealtimePlumberSchool - Submitting persist runnable for dataSource[twitterstream] +2013-05-17 23:06:40,920 INFO [twitterstream-incremental-persist] com.metamx.druid.realtime.plumber.RealtimePlumberSchool - DataSource[twitterstream], Interval[2013-05-17T23:00:00.000Z/2013-05-18T00:00:00.000Z], persisting Hydrant[FireHydrant{index=com.metamx.druid.index.v1.IncrementalIndex@126212dd, queryable=com.metamx.druid.index.IncrementalIndexSegment@64c47498, count=0}] +2013-05-17 23:06:40,937 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - Starting persist for interval[2013-05-17T23:00:00.000Z/2013-05-17T23:07:00.000Z], rows[4,666] +2013-05-17 23:06:41,039 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - outDir[/tmp/example/twitter_realtime/basePersist/twitterstream/2013-05-17T23:00:00.000Z_2013-05-18T00:00:00.000Z/0/v8-tmp] completed index.drd in 11 millis. +2013-05-17 23:06:41,070 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - outDir[/tmp/example/twitter_realtime/basePersist/twitterstream/2013-05-17T23:00:00.000Z_2013-05-18T00:00:00.000Z/0/v8-tmp] completed dim conversions in 31 millis. +2013-05-17 23:06:41,275 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.CompressedPools - Allocating new chunkEncoder[1] +2013-05-17 23:06:41,332 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - outDir[/tmp/example/twitter_realtime/basePersist/twitterstream/2013-05-17T23:00:00.000Z_2013-05-18T00:00:00.000Z/0/v8-tmp] completed walk through of 4,666 rows in 262 millis. +2013-05-17 23:06:41,334 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - Starting dimension[htags] with cardinality[634] +2013-05-17 23:06:41,381 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - Completed dimension[htags] in 49 millis. +2013-05-17 23:06:41,382 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - Starting dimension[lang] with cardinality[19] +2013-05-17 23:06:41,398 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - Completed dimension[lang] in 17 millis. +2013-05-17 23:06:41,398 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - Starting dimension[utc_offset] with cardinality[32] +2013-05-17 23:06:41,413 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - Completed dimension[utc_offset] in 15 millis. +2013-05-17 23:06:41,413 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - outDir[/tmp/example/twitter_realtime/basePersist/twitterstream/2013-05-17T23:00:00.000Z_2013-05-18T00:00:00.000Z/0/v8-tmp] completed inverted.drd in 81 millis. +2013-05-17 23:06:41,425 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexIO$DefaultIndexIOHandler - Converting v8[/tmp/example/twitter_realtime/basePersist/twitterstream/2013-05-17T23:00:00.000Z_2013-05-18T00:00:00.000Z/0/v8-tmp] to v9[/tmp/example/twitter_realtime/basePersist/twitterstream/2013-05-17T23:00:00.000Z_2013-05-18T00:00:00.000Z/0] +2013-05-17 23:06:41,426 INFO [twitterstream-incremental-persist] +... ETC +``` -The logs are about building different columns, probably not the most exciting stuff (they might as well be in Vulcan) if are you learning about Druid for the first time. Nevertheless, if you are interested in the details of our real-time architecture and why we persist indexes to disk, I suggest you read our [White Paper](http://static.druid.io/docs/druid.pdf). +Select “twitter” once again. This script issues [GroupByQuery]:(./GroupByQuery.html)s to the twitter data we’ve been ingesting. The query looks like this: -Okay, things are about to get real (~~time). To query the real-time node you’ve spun up, you can issue: -\./run\_example\_client.sh\ -Select “twitter” once again. This script issues ]s to the twitter data we’ve been ingesting. The query looks like this: -\`\`\`json +```json { - [queryType]() “groupBy”, - [dataSource]() “twitterstream”, - [granularity]() “all”, - [dimensions]() , - [aggregations]([) - { [type]() “count”, [name]() “rows”}, - { [type]() “doubleSum”, [fieldName]() “tweets”, [name]() “tweets”} - ], - [filter]() { [type]() “selector”, [dimension]() “lang”, [value]() “en” }, - [intervals](["2012-10-01T00:00/2020-01-01T00"]) + "queryType": "groupBy", + "dataSource": "twitterstream", + "granularity": "all", + "dimensions": ["lang", "utc_offset"], + "aggregations":[ + { "type": "count", "name": "rows"}, + { "type": "doubleSum", "fieldName": "tweets", "name": "tweets"} + ], + "filter": { "type": "selector", "dimension": "lang", "value": "en" }, + "intervals":["2012-10-01T00:00/2020-01-01T00"] } -\`\`\` +``` + This is a **groupBy** query, which you may be familiar with from SQL. We are grouping, or aggregating, via the **dimensions** field: . We are **filtering** via the **“lang”** dimension, to only look at english tweets. Our **aggregations** are what we are calculating: a row count, and the sum of the tweets in our data. The result looks something like this: -\`\`\`json + +```json [ - { - [version]() “v1”, - [timestamp]() “2012-10-01T00:00:00.000Z”, - [event]() { - [utc\_offset]() “~~10800", - [tweets]() 90, - [lang]() "en", - [rows]() 81 - } - }, - { - [version]() "v1", - [timestamp]() "2012-10-01T00:00:00.000Z", - [event]() { - [utc\_offset]() "~~14400”, - [tweets]() 177, - [lang]() “en”, - [rows]() 154 - } - }, -… -\`\`\` + { + "version": "v1", + "timestamp": "2012-10-01T00:00:00.000Z", + "event": { + "utc_offset": "-10800", + "tweets": 90, + "lang": "en", + "rows": 81 + } + }, + { + "version": "v1", + "timestamp": "2012-10-01T00:00:00.000Z", + "event": { + "utc_offset": "-14400", + "tweets": 177, + "lang": "en", + "rows": 154 + } + }, +... +``` + This data, plotted in a time series/distribution, looks something like this: ![Timezone / Tweets Scatter Plot](http://metamarkets.com/wp-content/uploads/2013/06/tweets_timezone_offset.png "Timezone / Tweets Scatter Plot") This groupBy query is a bit complicated and we’ll return to it later. For the time being, just make sure you are getting some blocks of data back. If you are having problems, make sure you have [curl](http://curl.haxx.se/) installed. Control+C to break out of the client script. h2. Querying Druid In your favorite editor, create the file: -\time\_boundary\_query.body\ + +`time_boundary_query.body` + Druid queries are JSON blobs which are relatively painless to create programmatically, but an absolute pain to write by hand. So anyway, we are going to create a Druid query by hand. Add the following to the file you just created: + \ \ The ] is one of the simplest Druid queries. To run the query, you can issue: @@ -190,12 +194,12 @@ We are going to make a slightly more complicated query, the [TimeseriesQuery](Ti You are probably wondering, what are these [Granularities](Granularities.html) and [Aggregations](Aggregations.html) things? What the query is doing is aggregating some metrics over some span of time. To issue the query and get some results, run the following in your command line: -
curl -X POST 'http://localhost:8080/druid/v2/?pretty' -H 'content-type: application/json'  -d  ````timeseries\_query.body
+
curl -X POST 'http://localhost:8080/druid/v2/?pretty' -H 'content-type: application/json'  -d  ````timeseries_query.body
 
 

 Once again, you should get a JSON blob of text back with your results, that looks something like this:
 
-\`\`\`json
+```json
 [ {
  “timestamp” : “2013-06-10T19:09:00.000Z”,
  “result” : {
@@ -203,7 +207,7 @@ Once again, you should get a JSON blob of text back with your results, that look
  “rows” : 272271
  }
 } ]
-\`\`\`
+```
 
 If you issue the query again, you should notice your results updating.
 
@@ -211,7 +215,7 @@ Right now all the results you are getting back are being aggregated into a singl
 
 If you loudly exclaimed “we can change granularity to minute”, you are absolutely correct again! We can specify different granularities to bucket our results, like so:
 
-\`\`\`json
+```json
 {
  [queryType]("timeseries"),
  [dataSource]("twitterstream"),
@@ -222,11 +226,11 @@ If you loudly exclaimed “we can change granularity to minute”, you are absol
  { [type]() “doubleSum”, [fieldName]() “tweets”, [name]() “tweets”}
  ]
 }
-\`\`\`
+```
 
 This gives us something like the following:
 
-\`\`\`json
+```json
 [ {
  “timestamp” : “2013-06-10T19:09:00.000Z”,
  “result” : {
@@ -247,7 +251,7 @@ This gives us something like the following:
  }
 },
 …
-\`\`\`
+```
 
 Solving a Problem
 -----------------
@@ -263,7 +267,7 @@ Let’s create the file:
         "dataSource": "twitterstream",
         "granularity": "all",
         "dimensions": ["htags"],
-        "orderBy": {"type":"default", "columns":[{"dimension": "tweets", "direction":"DESCENDING"}], "limit":5},
+        "orderBy": {"type":"doc_page", "columns":[{"dimension": "tweets", "direction":"DESCENDING"}], "limit":5},
         "aggregations":[
           { "type": "longSum", "fieldName": "tweets", "name": "tweets"}
         ],
@@ -280,7 +284,7 @@ If you issue the query:
 
 You should hopefully see an answer to our question. For my twitter stream, it looks like this:
 
-\`\`\`json
+```json
 [ {
  “version” : “v1”,
  “timestamp” : “2012-10-01T00:00:00.000Z”,
@@ -317,7 +321,7 @@ You should hopefully see an answer to our question. For my twitter stream, it lo
  “htags” : “IDidntTextYouBackBecause”
  }
 } ]
-\`\`\`
+```
 
 Feel free to tweak other query parameters to answer other questions you may have about the data.
 
diff --git a/docs/content/Twitter-Tutorial.textile b/docs/content/Twitter-Tutorial.textile
new file mode 100644
index 00000000000..b5bdbb3b20a
--- /dev/null
+++ b/docs/content/Twitter-Tutorial.textile
@@ -0,0 +1,327 @@
+---
+layout: doc_page
+---
+Greetings! We see you've taken an interest in Druid. That's awesome! Hopefully this tutorial will help clarify some core Druid concepts. We will go through one of the Real-time "Examples":Examples.html, and issue some basic Druid queries. The data source we'll be working with is the "Twitter spritzer stream":https://dev.twitter.com/docs/streaming-apis/streams/public. If you are ready to explore Druid, brave its challenges, and maybe learn a thing or two, read on!
+
+h2. Setting Up
+
+There are two ways to setup Druid: download a tarball, or build it from source.
+
+h3. Download a Tarball
+
+We've built a tarball that contains everything you'll need. You'll find it "here":http://static.druid.io/data/examples/druid-services-0.4.6.tar.gz.
+Download this bad boy to a directory of your choosing.
+
+You can extract the awesomeness within by issuing:
+
+pre. tar -zxvf druid-services-0.4.6.tar.gz
+
+Not too lost so far right? That's great! If you cd into the directory:
+
+pre. cd druid-services-0.4.6-SNAPSHOT
+
+You should see a bunch of files:
+* run_example_server.sh
+* run_example_client.sh
+* LICENSE, config, examples, lib directories
+
+h3. Clone and Build from Source
+
+The other way to setup Druid is from source via git. To do so, run these commands:
+
+
git clone git@github.com:metamx/druid.git
+cd druid
+git checkout druid-0.4.32-branch
+./build.sh
+

+
+You should see a bunch of files: 
+
+
DruidCorporateCLA.pdf	README			common			examples		indexer			pom.xml			server
+DruidIndividualCLA.pdf	build.sh		doc			group_by.body		install			publications		services
+LICENSE			client			eclipse_formatting.xml	index-common		merger			realtime
+

+
+You can find the example executables in the examples/bin directory:
+* run_example_server.sh
+* run_example_client.sh
+
+h2. Running Example Scripts
+
+Let's start doing stuff. You can start a Druid "Realtime":Realtime.html node by issuing:
+./run_example_server.sh
+
+Select "twitter". 
+
+You'll need to register a new application with the twitter API, which only takes a minute. Go to "https://twitter.com/oauth_clients/new":https://twitter.com/oauth_clients/new and fill out the form and submit. Don't worry, the home page and callback url can be anything. This will generate keys for the Twitter example application. Take note of the values for consumer key/secret and access token/secret.
+
+Enter your credentials when prompted.
+
+Once the node starts up you will see a bunch of logs about setting up properties and connecting to the data source. If everything was successful, you should see messages of the form shown below. If you see crazy exceptions, you probably typed in your login information incorrectly.
+
2013-05-17 23:04:40,934 INFO [main] org.mortbay.log - Started SelectChannelConnector@0.0.0.0:8080
+2013-05-17 23:04:40,935 INFO [main] com.metamx.common.lifecycle.Lifecycle$AnnotationBasedHandler - Invoking start method[public void com.metamx.druid.http.FileRequestLogger.start()] on object[com.metamx.druid.http.FileRequestLogger@42bb0406].
+2013-05-17 23:04:41,578 INFO [Twitter Stream consumer-1[Establishing connection]] twitter4j.TwitterStreamImpl - Connection established.
+2013-05-17 23:04:41,578 INFO [Twitter Stream consumer-1[Establishing connection]] druid.examples.twitter.TwitterSpritzerFirehoseFactory - Connected_to_Twitter
+2013-05-17 23:04:41,578 INFO [Twitter Stream consumer-1[Establishing connection]] twitter4j.TwitterStreamImpl - Receiving status stream.
+

+
+Periodically, you'll also see messages of the form:
+
2013-05-17 23:04:59,793 INFO [chief-twitterstream] druid.examples.twitter.TwitterSpritzerFirehoseFactory - nextRow() has returned 1,000 InputRows
+

+
+These messages indicate you are ingesting events. The Druid real time-node ingests events in an in-memory buffer. Periodically, these events will be persisted to disk. Persisting to disk generates a whole bunch of logs:
+
+
2013-05-17 23:06:40,918 INFO [chief-twitterstream] com.metamx.druid.realtime.plumber.RealtimePlumberSchool - Submitting persist runnable for dataSource[twitterstream]
+2013-05-17 23:06:40,920 INFO [twitterstream-incremental-persist] com.metamx.druid.realtime.plumber.RealtimePlumberSchool - DataSource[twitterstream], Interval[2013-05-17T23:00:00.000Z/2013-05-18T00:00:00.000Z], persisting Hydrant[FireHydrant{index=com.metamx.druid.index.v1.IncrementalIndex@126212dd, queryable=com.metamx.druid.index.IncrementalIndexSegment@64c47498, count=0}]
+2013-05-17 23:06:40,937 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - Starting persist for interval[2013-05-17T23:00:00.000Z/2013-05-17T23:07:00.000Z], rows[4,666]
+2013-05-17 23:06:41,039 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - outDir[/tmp/example/twitter_realtime/basePersist/twitterstream/2013-05-17T23:00:00.000Z_2013-05-18T00:00:00.000Z/0/v8-tmp] completed index.drd in 11 millis.
+2013-05-17 23:06:41,070 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - outDir[/tmp/example/twitter_realtime/basePersist/twitterstream/2013-05-17T23:00:00.000Z_2013-05-18T00:00:00.000Z/0/v8-tmp] completed dim conversions in 31 millis.
+2013-05-17 23:06:41,275 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.CompressedPools - Allocating new chunkEncoder[1]
+2013-05-17 23:06:41,332 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - outDir[/tmp/example/twitter_realtime/basePersist/twitterstream/2013-05-17T23:00:00.000Z_2013-05-18T00:00:00.000Z/0/v8-tmp] completed walk through of 4,666 rows in 262 millis.
+2013-05-17 23:06:41,334 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - Starting dimension[htags] with cardinality[634]
+2013-05-17 23:06:41,381 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - Completed dimension[htags] in 49 millis.
+2013-05-17 23:06:41,382 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - Starting dimension[lang] with cardinality[19]
+2013-05-17 23:06:41,398 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - Completed dimension[lang] in 17 millis.
+2013-05-17 23:06:41,398 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - Starting dimension[utc_offset] with cardinality[32]
+2013-05-17 23:06:41,413 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - Completed dimension[utc_offset] in 15 millis.
+2013-05-17 23:06:41,413 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexMerger - outDir[/tmp/example/twitter_realtime/basePersist/twitterstream/2013-05-17T23:00:00.000Z_2013-05-18T00:00:00.000Z/0/v8-tmp] completed inverted.drd in 81 millis.
+2013-05-17 23:06:41,425 INFO [twitterstream-incremental-persist] com.metamx.druid.index.v1.IndexIO$DefaultIndexIOHandler - Converting v8[/tmp/example/twitter_realtime/basePersist/twitterstream/2013-05-17T23:00:00.000Z_2013-05-18T00:00:00.000Z/0/v8-tmp] to v9[/tmp/example/twitter_realtime/basePersist/twitterstream/2013-05-17T23:00:00.000Z_2013-05-18T00:00:00.000Z/0]
+2013-05-17 23:06:41,426 INFO [twitterstream-incremental-persist] 
+... ETC
+

+
+The logs are about building different columns, probably not the most exciting stuff (they might as well be in Vulcan) if are you learning about Druid for the first time. Nevertheless, if you are interested in the details of our real-time architecture and why we persist indexes to disk, I suggest you read our "White Paper":http://static.druid.io/docs/druid.pdf.
+
+Okay, things are about to get real (-time). To query the real-time node you've spun up, you can issue:
+
./run_example_client.sh

+
+Select "twitter" once again. This script issues ["GroupByQuery":GroupByQuery.html]s to the twitter data we've been ingesting. The query looks like this:
+
+
{
+    "queryType": "groupBy",
+    "dataSource": "twitterstream",
+    "granularity": "all",
+    "dimensions": ["lang", "utc_offset"],
+    "aggregations":[
+      { "type": "count", "name": "rows"},
+      { "type": "doubleSum", "fieldName": "tweets", "name": "tweets"}
+    ],
+    "filter": { "type": "selector", "dimension": "lang", "value": "en" },
+    "intervals":["2012-10-01T00:00/2020-01-01T00"]
+}
+

+
+This is a **groupBy** query, which you may be familiar with from SQL. We are grouping, or aggregating, via the **dimensions** field: ["lang", "utc_offset"]. We are **filtering** via the **"lang"** dimension, to only look at english tweets. Our **aggregations** are what we are calculating: a row count, and the sum of the tweets in our data.
+
+The result looks something like this:
+
+
[
+    {
+        "version": "v1",
+        "timestamp": "2012-10-01T00:00:00.000Z",
+        "event": {
+            "utc_offset": "-10800",
+            "tweets": 90,
+            "lang": "en",
+            "rows": 81
+        }
+    },
+    {
+        "version": "v1",
+        "timestamp": "2012-10-01T00:00:00.000Z",
+        "event": {
+            "utc_offset": "-14400",
+            "tweets": 177,
+            "lang": "en",
+            "rows": 154
+        }
+    },
+...
+

+
+This data, plotted in a time series/distribution, looks something like this:
+
+!http://metamarkets.com/wp-content/uploads/2013/06/tweets_timezone_offset.png(Timezone / Tweets Scatter Plot)!
+
+This groupBy query is a bit complicated and we'll return to it later. For the time being, just make sure you are getting some blocks of data back. If you are having problems, make sure you have "curl":http://curl.haxx.se/ installed. Control+C to break out of the client script.
+
+h2. Querying Druid
+
+In your favorite editor, create the file:
+
time_boundary_query.body

+
+Druid queries are JSON blobs which are relatively painless to create programmatically, but an absolute pain to write by hand. So anyway, we are going to create a Druid query by hand. Add the following to the file you just created:
+
{

+  "queryType"  : "timeBoundary",
+  "dataSource" : "twitterstream"
+}
+

+
+The "TimeBoundaryQuery":TimeBoundaryQuery.html is one of the simplest Druid queries. To run the query, you can issue:
+
 
+curl -X POST 'http://localhost:8080/druid/v2/?pretty' -H 'content-type: application/json'  -d @time_boundary_query.body
+

+
+We get something like this JSON back:
+
+
[ {
+  "timestamp" : "2013-06-10T19:09:00.000Z",
+  "result" : {
+    "minTime" : "2013-06-10T19:09:00.000Z",
+    "maxTime" : "2013-06-10T20:50:00.000Z"
+  }
+} ]
+

+
+That's the result. What information do you think the result is conveying? 
+...
+If you said the result is indicating the maximum and minimum timestamps we've seen thus far (summarized to a minutely granularity), you are absolutely correct. I can see you are a person legitimately interested in learning about Druid. Let's explore a bit further.
+
+Return to your favorite editor and create the file:
+
+
timeseries_query.body

+
+We are going to make a slightly more complicated query, the "TimeseriesQuery":TimeseriesQuery.html. Copy and paste the following into the file:
+
+
{
+  "queryType":"timeseries",
+  "dataSource":"twitterstream",
+  "intervals":["2010-01-01/2020-01-01"],
+  "granularity":"all",
+  "aggregations":[
+      { "type": "count", "name": "rows"},
+      { "type": "doubleSum", "fieldName": "tweets", "name": "tweets"}
+  ]
+}
+

+
+You are probably wondering, what are these "Granularities":Granularities.html and "Aggregations":Aggregations.html things? What the query is doing is aggregating some metrics over some span of time. 
+To issue the query and get some results, run the following in your command line:
+
curl -X POST 'http://localhost:8080/druid/v2/?pretty' -H 'content-type: application/json'  -d @timeseries_query.body

+
+Once again, you should get a JSON blob of text back with your results, that looks something like this:
+
+
[ {
+  "timestamp" : "2013-06-10T19:09:00.000Z",
+  "result" : {
+    "tweets" : 358562.0,
+    "rows" : 272271
+  }
+} ]
+

+
+If you issue the query again, you should notice your results updating.
+
+Right now all the results you are getting back are being aggregated into a single timestamp bucket. What if we wanted to see our aggregations on a per minute basis? What field can we change in the query to accomplish this?
+
+If you loudly exclaimed "we can change granularity to minute", you are absolutely correct again! We can specify different granularities to bucket our results, like so:
+
+
{
+  "queryType":"timeseries",
+  "dataSource":"twitterstream",
+  "intervals":["2010-01-01/2020-01-01"],
+  "granularity":"minute",
+  "aggregations":[
+      { "type": "count", "name": "rows"},
+      { "type": "doubleSum", "fieldName": "tweets", "name": "tweets"}
+  ]
+}
+

+
+This gives us something like the following:
+
+
[ {
+  "timestamp" : "2013-06-10T19:09:00.000Z",
+  "result" : {
+    "tweets" : 2650.0,
+    "rows" : 2120
+  }
+}, {
+  "timestamp" : "2013-06-10T19:10:00.000Z",
+  "result" : {
+    "tweets" : 3401.0,
+    "rows" : 2609
+  }
+}, {
+  "timestamp" : "2013-06-10T19:11:00.000Z",
+  "result" : {
+    "tweets" : 3472.0,
+    "rows" : 2610
+  }
+},
+...
+

+
+h2. Solving a Problem
+
+One of Druid's main powers (see what we did there?) is to provide answers to problems, so let's pose a problem. What if we wanted to know what the top hash tags are, ordered by the number tweets, where the language is english, over the last few minutes you've been reading this tutorial? To solve this problem, we have to return to the query we introduced at the very beginning of this tutorial, the "GroupByQuery":GroupByQuery.html. It would be nice if we could group by results by dimension value and somehow sort those results... and it turns out we can! 
+
+Let's create the file:
+
group_by_query.body

+and put the following in there:
+
{
+    "queryType": "groupBy",
+    "dataSource": "twitterstream",
+    "granularity": "all",
+    "dimensions": ["htags"],
+    "orderBy": {"type":"default", "columns":[{"dimension": "tweets", "direction":"DESCENDING"}], "limit":5},
+    "aggregations":[
+      { "type": "longSum", "fieldName": "tweets", "name": "tweets"}
+    ],
+    "filter": {"type": "selector", "dimension": "lang", "value": "en" },
+    "intervals":["2012-10-01T00:00/2020-01-01T00"]
+}
+

+
+Woah! Our query just got a way more complicated. Now we have these "Filters":Filters.html things and this "OrderBy":OrderBy.html thing. Fear not, it turns out the new objects we've introduced to our query can help define the format of our results and provide an answer to our question.
+
+If you issue the query:
+
curl -X POST 'http://localhost:8080/druid/v2/?pretty' -H 'content-type: application/json'  -d @group_by_query.body

+
+You should hopefully see an answer to our question. For my twitter stream, it looks like this:
+
+
[ {
+  "version" : "v1",
+  "timestamp" : "2012-10-01T00:00:00.000Z",
+  "event" : {
+    "tweets" : 2660,
+    "htags" : "android"
+  }
+}, {
+  "version" : "v1",
+  "timestamp" : "2012-10-01T00:00:00.000Z",
+  "event" : {
+    "tweets" : 1944,
+    "htags" : "E3"
+  }
+}, {
+  "version" : "v1",
+  "timestamp" : "2012-10-01T00:00:00.000Z",
+  "event" : {
+    "tweets" : 1927,
+    "htags" : "15SueñosPendientes"
+  }
+}, {
+  "version" : "v1",
+  "timestamp" : "2012-10-01T00:00:00.000Z",
+  "event" : {
+    "tweets" : 1717,
+    "htags" : "ipad"
+  }
+}, {
+  "version" : "v1",
+  "timestamp" : "2012-10-01T00:00:00.000Z",
+  "event" : {
+    "tweets" : 1515,
+    "htags" : "IDidntTextYouBackBecause"
+  }
+} ]
+

+
+Feel free to tweak other query parameters to answer other questions you may have about the data.
+
+h2. Additional Information
+
+This tutorial is merely showcasing a small fraction of what Druid can do. Next, continue on to "Loading Your Data":./Loading-Your-Data.html.
+
+And thus concludes our journey! Hopefully you learned a thing or two about Druid real-time ingestion, querying Druid, and how Druid can be used to solve problems. If you have additional questions, feel free to post in our "google groups page":http://www.groups.google.com/forum/#!forum/druid-development.
diff --git a/docs/content/Versioning.md b/docs/content/Versioning.md
index 6b9e79fe9d3..4ace4031a22 100644
--- a/docs/content/Versioning.md
+++ b/docs/content/Versioning.md
@@ -1,5 +1,5 @@
 ---
-layout: default
+layout: doc_page
 ---
 This page discusses how we do versioning and provides information on our stable releases.
 
diff --git a/docs/content/ZooKeeper.md b/docs/content/ZooKeeper.md
index d3e24e29ceb..1aaefdb2886 100644
--- a/docs/content/ZooKeeper.md
+++ b/docs/content/ZooKeeper.md
@@ -1,5 +1,5 @@
 ---
-layout: default
+layout: doc_page
 ---
 Druid uses ZooKeeper (ZK) for management of current cluster state. The operations that happen over ZK are
 
@@ -11,11 +11,11 @@ Druid uses ZooKeeper (ZK) for management of current cluster state. The operation
 
 ZooKeeper paths are set via the `runtime.properties` configuration file. Druid will automatically create paths that do not exist, so typos in config files is a very easy way to become split-brained.
 
-There is a prefix path that is required and can be used as the only (well, kinda, see the note below) path-related zookeeper configuration parameter (everything else will be a default based on the prefix):
+There is a prefix path that is required and can be used as the only (well, kinda, see the note below) path-related zookeeper configuration parameter (everything else will be a doc_page based on the prefix):
 
     druid.zk.paths.base
 
-You can also override each individual path (defaults are shown below):
+You can also override each individual path (doc_pages are shown below):
 
     druid.zk.paths.propertiesPath=${druid.zk.paths.base}/properties
     druid.zk.paths.announcementsPath=${druid.zk.paths.base}/announcements
diff --git a/docs/content/contents.md b/docs/content/contents.md
deleted file mode 100644
index 963f88926e1..00000000000
--- a/docs/content/contents.md
+++ /dev/null
@@ -1,71 +0,0 @@
----
-layout: default
----
-Contents
-\* [Introduction|Home](Introduction|Home.html)
-\* [Download](Download.html)
-\* [Support](Support.html)
-\* [Contribute](Contribute.html)
-========================
-
-Getting Started
-\* [Tutorial: A First Look at Druid](Tutorial:-A-First-Look-at-Druid.html)
-\* [Tutorial: The Druid Cluster](Tutorial:-The-Druid-Cluster.html)
-\* [Loading Your Data](Loading-Your-Data.html)
-\* [Querying Your Data](Querying-Your-Data.html)
-\* [Booting a Production Cluster](Booting-a-Production-Cluster.html)
-\* [Examples](Examples.html)
-\* [Cluster Setup](Cluster-Setup.html)
-\* [Configuration](Configuration.html)
---------------------------------------
-
-Data Ingestion
-\* [Realtime](Realtime.html)
-\* [Batch|Batch Ingestion](Batch|Batch-Ingestion.html)
-\* [Indexing Service](Indexing-Service.html)
-----------------------------
-
-Querying
-\* [Querying](Querying.html)
-**\* ]
-**\* [Aggregations](Aggregations.html)
-**\* ]
-**\* [Granularities](Granularities.html)
-\* Query Types
-**\* ]
-****\* ]
-****\* ]
-**\* [SearchQuery](SearchQuery.html)
-**\* ]
-** [SegmentMetadataQuery](SegmentMetadataQuery.html)
-**\* ]
-**\* [TimeseriesQuery](TimeseriesQuery.html)
----------------------------
-
-Architecture
-\* [Design](Design.html)
-\* [Segments](Segments.html)
-\* Node Types
-**\* ]
-**\* [Broker](Broker.html)
-**\* ]
-****\* ]
-**\* [Realtime](Realtime.html)
-**\* ]
-**\* [Plumber](Plumber.html)
-\* External Dependencies
-**\* ]
-**\* [MySQL](MySQL.html)
-**\* ]
-** [Concepts and Terminology](Concepts-and-Terminology.html)
--------------------------------
-
-Development
-\* [Versioning](Versioning.html)
-\* [Build From Source](Build-From-Source.html)
-\* [Libraries](Libraries.html)
-------------------------
-
-Misc
-\* [Thanks](Thanks.html)
--------------
diff --git a/docs/content/contents.textile b/docs/content/contents.textile
new file mode 100644
index 00000000000..75e678e8e5b
--- /dev/null
+++ b/docs/content/contents.textile
@@ -0,0 +1,70 @@
+---
+---
+
+* [Introduction|Home](Introduction|Home.html)
+* [Download](Download.html)
+* [Support](Support.html)
+* [Contribute](Contribute.html)
+========================
+
+Getting Started
+* [Tutorial: A First Look at Druid](Tutorial:-A-First-Look-at-Druid.html)
+* [Tutorial: The Druid Cluster](Tutorial:-The-Druid-Cluster.html)
+* [Loading Your Data](Loading-Your-Data.html)
+* [Querying Your Data](Querying-Your-Data.html)
+* [Booting a Production Cluster](Booting-a-Production-Cluster.html)
+* [Examples](Examples.html)
+* [Cluster Setup](Cluster-Setup.html)
+* [Configuration](Configuration.html)
+--------------------------------------
+
+Data Ingestion
+* [Realtime](Realtime.html)
+* [Batch|Batch Ingestion](Batch|Batch-Ingestion.html)
+* [Indexing Service](Indexing-Service.html)
+----------------------------
+
+Querying
+* [Querying](Querying.html)
+*** ]
+*** [Aggregations](Aggregations.html)
+*** ]
+*** [Granularities](Granularities.html)
+* Query Types
+*** ]
+***** ]
+***** ]
+*** [SearchQuery](SearchQuery.html)
+*** ]
+** [SegmentMetadataQuery](SegmentMetadataQuery.html)
+*** ]
+*** [TimeseriesQuery](TimeseriesQuery.html)
+---------------------------
+
+Architecture
+* [Design](Design.html)
+* [Segments](Segments.html)
+* Node Types
+*** ]
+*** [Broker](Broker.html)
+*** ]
+***** ]
+*** [Realtime](Realtime.html)
+*** ]
+*** [Plumber](Plumber.html)
+* External Dependencies
+*** ]
+*** [MySQL](MySQL.html)
+*** ]
+** [Concepts and Terminology](Concepts-and-Terminology.html)
+-------------------------------
+
+Development
+* [Versioning](Versioning.html)
+* [Build From Source](Build-From-Source.html)
+* [Libraries](Libraries.html)
+------------------------
+
+Misc
+* [Thanks](Thanks.html)
+-------------
diff --git a/docs/content/css/bootstrap-responsive.css b/docs/content/css/bootstrap-responsive.css
deleted file mode 100644
index 9570d1c2e40..00000000000
--- a/docs/content/css/bootstrap-responsive.css
+++ /dev/null
@@ -1,1058 +0,0 @@
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diff --git a/docs/content/css/bootstrap-responsive.min.css b/docs/content/css/bootstrap-responsive.min.css
deleted file mode 100644
index 8eb78d8e67c..00000000000
--- a/docs/content/css/bootstrap-responsive.min.css
+++ /dev/null
@@ -1,9 +0,0 @@
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diff --git a/docs/content/css/bootstrap.css b/docs/content/css/bootstrap.css
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diff --git a/docs/content/css/custom.css b/docs/content/css/custom.css
deleted file mode 100644
index ce15235e889..00000000000
--- a/docs/content/css/custom.css
+++ /dev/null
@@ -1,592 +0,0 @@
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-    src: url('../fonts/framd.eot?#iefix') format('embedded-opentype'),
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-html, body {
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-.blog h2.date {	
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-	footer .logo-block {
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-	}
-	h1 {
-		padding:0 20px;
-	}
-}
-.container.custom .faq-page p {
-	margin-bottom:10px;
-}
-.index-head h3 {
-	margin-bottom:50px;
-}
-h1.center {
-	text-align:center;
-}
-.btn.btn-navbar {
-	height:auto;
-	width:auto;
-	margin:10px 0 0;
-}
-.navbar-inner {
-	z-index:100000;
-	position:relative;
-}
diff --git a/docs/content/css/default.html b/docs/content/css/default.html
deleted file mode 100644
index 12106274e0f..00000000000
--- a/docs/content/css/default.html
+++ /dev/null
@@ -1,147 +0,0 @@
-
-
-  	
-    	
-    Druid | {{page.title}}	
-    
-    
-    
-    
-    
-    
-    
-    
-    
-  
-  	
-    

-      
-      

-        

-          

-            

-              

-                
-                Home
-                

-                  
-                

-              

-            

-          

-        

-        {% if page.id == 'home' %}
-        
Druid is open-source infrastructure for real²time exploratory analytics on large datasets.

-        
-        {% endif %}
-      

-      
-      

-
-        {{ content }}
-
-      

-    

-    
-    
-    
-  
-
-
diff --git a/docs/content/css/docs.css b/docs/content/css/docs.css
new file mode 100644
index 00000000000..87b1b5a651c
--- /dev/null
+++ b/docs/content/css/docs.css
@@ -0,0 +1,14 @@
+.doc-content pre, .doc-content pre code {
+   overflow: auto;
+   white-space: pre;
+   word-wrap: normal;
+}
+
+.doc-content p {
+   padding: 8px 0 8px 0;
+}
+
+/*** HACK: This is a horrible hack, but I have no clue why images don't want to stay in the container **/
+.doc-content img {
+   max-width: 847.5px;
+}
diff --git a/docs/content/css/docs.html b/docs/content/css/docs.html
deleted file mode 100644
index cb38f8c336e..00000000000
--- a/docs/content/css/docs.html
+++ /dev/null
@@ -1,8 +0,0 @@
----
-layout: default
----
-  

-
-    {{ content }}
-      
-  

diff --git a/docs/content/css/main.css b/docs/content/css/main.css
deleted file mode 100755
index 50a818048ad..00000000000
--- a/docs/content/css/main.css
+++ /dev/null
@@ -1,160 +0,0 @@
-/*****************************************************************************/
-/*
-/* Common
-/*
-/*****************************************************************************/
-
-/* Global Reset */
-* {
-  margin: 0;
-  padding: 0;
-}
-
-html, body { height: 100%; }
-
-body {
-  background-color: #FFF;
-  font: 13.34px Helvetica, Arial, sans-serif;
-  font-size: small;
-  text-align: center;
-}
-
-h1, h2, h3, h4, h5, h6 {
-  font-size: 100%; }
-
-h1 { margin-bottom: 1em; }
-p { margin: 1em 0; }
-
-a         { color: #00a; }
-a:hover   { color: #000; }
-a:visited { color: #a0a; }
-
-/*****************************************************************************/
-/*
-/* Home
-/*
-/*****************************************************************************/
-ul.posts {
-  list-style-type: none;
-  margin-bottom: 2em;
-}
-
-ul.posts li {
-  line-height: 1.75em;
-}
-
-ul.posts span {
-  color: #aaa;
-  font-family: Monaco, "Courier New", monospace;
-  font-size: 80%;
-}
-
-/*****************************************************************************/
-/*
-/* Site
-/*
-/*****************************************************************************/
-
-.site {
-  font-size: 115%;
-  text-align: justify;
-  width: 42em;
-  margin: 3em auto 2em;
-  line-height: 1.5em;
-}
-
-.site .header a {
-  font-weight: bold;
-  text-decoration: none;
-}
-
-.site .header h1.title {
-  display: inline-block;
-  margin-bottom: 2em;
-}
-
-.site .header h1.title a {
-  color: #a00;
-}
-
-.site .header h1.title a:hover {
-  color: #000;
-}
-
-.site .header a.extra {
-  color: #aaa;
-  margin-left: 1em;
-}
-
-.site .header a.extra:hover {
-  color: #000;
-}
-
-.site .meta {
-  color: #aaa;
-}
-
-.site .footer {
-  font-size: 80%;
-  color: #666;
-  border-top: 4px solid #eee;
-  margin-top: 2em;
-  overflow: hidden;
-}
-
-.site .footer .contact {
-  float: left;
-  margin-right: 3em;
-}
-
-.site .footer .contact a {
-  color: #8085C1;
-}
-
-.site .footer .rss {
-  margin-top: 1.1em;
-  margin-right: -.2em;
-  float: right;
-}
-
-.site .footer .rss img {
-  border: 0;
-}
-
-/*****************************************************************************/
-/*
-/* Posts
-/*
-/*****************************************************************************/
-
-/* standard */
-.post pre {
-  border: 1px solid #ddd;
-  background-color: #eef;
-  padding: 0 .4em;
-}
-
-.post ul, .post ol {
-  margin-left: 1.35em;
-}
-
-.post code {
-  border: 1px solid #ddd;
-  background-color: #eef;
-  padding: 0 .2em;
-}
-
-.post pre code {
-  border: none;
-}
-
-/* terminal */
-.post pre.terminal {
-  border: 1px solid #000;
-  background-color: #333;
-  color: #FFF;
-}
-
-.post pre.terminal code {
-  background-color: #333;
-}
diff --git a/docs/content/css/page.html b/docs/content/css/page.html
deleted file mode 100644
index b5ebfb17ace..00000000000
--- a/docs/content/css/page.html
+++ /dev/null
@@ -1,11 +0,0 @@
----
-layout: default
----
-
-

-  

-
-    {{ content }}
-    
-  

-

diff --git a/docs/content/css/pie.htc b/docs/content/css/pie.htc
deleted file mode 100644
index ca3b54700cc..00000000000
--- a/docs/content/css/pie.htc
+++ /dev/null
@@ -1,96 +0,0 @@
-
-
-
-
-
-
-
-
-
diff --git a/docs/content/css/post.html b/docs/content/css/post.html
deleted file mode 100644
index affb233fd23..00000000000
--- a/docs/content/css/post.html
+++ /dev/null
@@ -1,44 +0,0 @@
----
-layout: default
-sectionid: blog
----
-
-

-  

-    
Recent posts

-    
-  

-
-  

-    

-      

-        {{ page.title }}
-        {{ page.date | date: "%B %e, %Y" }} · {{ page.author | upcase }}
-      

-
-      {% if page.image %}{{ page.title }}{% endif %}
-
-      {{ content }}
-
-    

-    
-    
-    comments powered by Disqus
-    
-    

-  

-

diff --git a/docs/content/css/syntax.css b/docs/content/css/syntax.css
deleted file mode 100644
index 1e651cf79db..00000000000
--- a/docs/content/css/syntax.css
+++ /dev/null
@@ -1,60 +0,0 @@
-.highlight  { background: #ffffff; }
-.highlight .c { color: #999988; font-style: italic } /* Comment */
-.highlight .err { color: #a61717; background-color: #e3d2d2 } /* Error */
-.highlight .k { font-weight: bold } /* Keyword */
-.highlight .o { font-weight: bold } /* Operator */
-.highlight .cm { color: #999988; font-style: italic } /* Comment.Multiline */
-.highlight .cp { color: #999999; font-weight: bold } /* Comment.Preproc */
-.highlight .c1 { color: #999988; font-style: italic } /* Comment.Single */
-.highlight .cs { color: #999999; font-weight: bold; font-style: italic } /* Comment.Special */
-.highlight .gd { color: #000000; background-color: #ffdddd } /* Generic.Deleted */
-.highlight .gd .x { color: #000000; background-color: #ffaaaa } /* Generic.Deleted.Specific */
-.highlight .ge { font-style: italic } /* Generic.Emph */
-.highlight .gr { color: #aa0000 } /* Generic.Error */
-.highlight .gh { color: #999999 } /* Generic.Heading */
-.highlight .gi { color: #000000; background-color: #ddffdd } /* Generic.Inserted */
-.highlight .gi .x { color: #000000; background-color: #aaffaa } /* Generic.Inserted.Specific */
-.highlight .go { color: #888888 } /* Generic.Output */
-.highlight .gp { color: #555555 } /* Generic.Prompt */
-.highlight .gs { font-weight: bold } /* Generic.Strong */
-.highlight .gu { color: #aaaaaa } /* Generic.Subheading */
-.highlight .gt { color: #aa0000 } /* Generic.Traceback */
-.highlight .kc { font-weight: bold } /* Keyword.Constant */
-.highlight .kd { font-weight: bold } /* Keyword.Declaration */
-.highlight .kp { font-weight: bold } /* Keyword.Pseudo */
-.highlight .kr { font-weight: bold } /* Keyword.Reserved */
-.highlight .kt { color: #445588; font-weight: bold } /* Keyword.Type */
-.highlight .m { color: #009999 } /* Literal.Number */
-.highlight .s { color: #d14 } /* Literal.String */
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-.highlight .nb { color: #0086B3 } /* Name.Builtin */
-.highlight .nc { color: #445588; font-weight: bold } /* Name.Class */
-.highlight .no { color: #008080 } /* Name.Constant */
-.highlight .ni { color: #800080 } /* Name.Entity */
-.highlight .ne { color: #990000; font-weight: bold } /* Name.Exception */
-.highlight .nf { color: #990000; font-weight: bold } /* Name.Function */
-.highlight .nn { color: #555555 } /* Name.Namespace */
-.highlight .nt { color: #000080 } /* Name.Tag */
-.highlight .nv { color: #008080 } /* Name.Variable */
-.highlight .ow { font-weight: bold } /* Operator.Word */
-.highlight .w { color: #bbbbbb } /* Text.Whitespace */
-.highlight .mf { color: #009999 } /* Literal.Number.Float */
-.highlight .mh { color: #009999 } /* Literal.Number.Hex */
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-.highlight .mo { color: #009999 } /* Literal.Number.Oct */
-.highlight .sb { color: #d14 } /* Literal.String.Backtick */
-.highlight .sc { color: #d14 } /* Literal.String.Char */
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-.highlight .se { color: #d14 } /* Literal.String.Escape */
-.highlight .sh { color: #d14 } /* Literal.String.Heredoc */
-.highlight .si { color: #d14 } /* Literal.String.Interpol */
-.highlight .sx { color: #d14 } /* Literal.String.Other */
-.highlight .sr { color: #009926 } /* Literal.String.Regex */
-.highlight .s1 { color: #d14 } /* Literal.String.Single */
-.highlight .ss { color: #990073 } /* Literal.String.Symbol */
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-.highlight .vc { color: #008080 } /* Name.Variable.Class */
-.highlight .vg { color: #008080 } /* Name.Variable.Global */
-.highlight .vi { color: #008080 } /* Name.Variable.Instance */
-.highlight .il { color: #009999 } /* Literal.Number.Integer.Long */
\ No newline at end of file
diff --git a/docs/content/css/toc.css b/docs/content/css/toc.css
new file mode 100644
index 00000000000..c074ef7d79a
--- /dev/null
+++ b/docs/content/css/toc.css
@@ -0,0 +1,6 @@
+.toc ul {
+   list-style: none;
+   list-style-position: inside;
+   padding-left: 15px;
+}
+
diff --git a/docs/content/toc.textile b/docs/content/toc.textile
new file mode 100644
index 00000000000..60bf35ee924
--- /dev/null
+++ b/docs/content/toc.textile
@@ -0,0 +1,66 @@
+---
+---
+
+
+
+h1. Contents
+* "Introduction":./Home.html
+* "Download":./Download.html
+* "Support":./Support.html
+* "Contribute":./Contribute.html
+
+h2. Getting Started
+* "Tutorial: A First Look at Druid":./Tutorial:-A-First-Look-at-Druid.html
+* "Tutorial: The Druid Cluster":./Tutorial:-The-Druid-Cluster.html
+* "Loading Your Data":./Tutorial:-Webstream.html
+* "Querying Your Data":./Querying-your-data.html
+* "Booting a Production Cluster":./Booting-a-production-cluster.html
+* "Examples":./Examples.html
+* "Cluster Setup":Cluster-setup.html
+* "Configuration":Configuration.html
+
+h2. Data Ingestion
+* "Realtime":./Realtime.html
+* "Batch":./Batch-ingestion.html
+* "Indexing Service":./Indexing-Service.html
+
+h2. Querying
+* "Querying":./Querying.html
+** "Filters":./Filters.html
+** "Aggregations":./Aggregations.html
+** "Post Aggregations":./Post-aggregations.html
+** "Granularities":./Granularities.html
+* Query Types
+** "GroupByQuery":./GroupByQuery.html
+*** "OrderBy":./OrderBy.html
+*** "Having":./Having.html
+** "SearchQuery":./Having.html
+*** "SearchQuerySpec":./SearchQuerySpec.html
+** "SegmentMetadataQuery":./SegmentMetadataQuery.html
+** "TimeBoundaryQuery":./TimeBoundaryQuery.html
+** "TimeseriesQuery":./TimeseriesQuery.html
+
+h2. Architecture
+* "Design":./Design.html
+* "Segments":./Segments.html
+* Node Types
+** "Compute":./Compute.html
+** "Broker":./Broker.html
+** "Master":./Master.html
+*** "Rule Configuration":./Rule-Configuration.html
+** "Realtime":./Realtime.html
+*** "Firehose":./Firehose.html
+*** "Plumber":./Plumber.html
+* External Dependencies
+** "Deep Storage":./Deep-Storage.html
+** "MySQL":./MySQL.html
+** "ZooKeeper":./ZooKeeper.html
+* "Concepts and Terminology":./Concepts-and-Terminology.html
+
+h2. Development
+* "Versioning":./Versioning.html
+* "Build From Source":./Build-from-source.html
+* "Libraries":./Libraries.html
+
+h2. Misc
+* "Thanks":./Thanks.html
\ No newline at end of file
diff --git a/docs/css/blogs.css b/docs/css/blogs.css
new file mode 100644
index 00000000000..5da711170cd
--- /dev/null
+++ b/docs/css/blogs.css
@@ -0,0 +1,14 @@
+.blog-listing {
+   margin-bottom: 70px;
+}
+
+.blog-entry {
+   margin-bottom: 70px;
+}
+
+.recents ul li {
+   font-weight: 400;
+   margin-bottom: 15px;
+}
+
+
diff --git a/docs/css/footer.css b/docs/css/footer.css
new file mode 100644
index 00000000000..df084947efa
--- /dev/null
+++ b/docs/css/footer.css
@@ -0,0 +1,38 @@
+footer {
+   font-size: 14px;
+   color: #000000;
+   font-weight: 300;
+}
+
+footer strong {
+   display: block;
+   font-weight: 400;
+}
+
+footer a {
+   color: #000000;
+}
+
+footer address {
+   margin: 0 0 30px 30px;
+}
+
+footer .soc {
+	text-align:left;
+	margin:5px 0 0 0;
+}
+footer .soc a {
+	display:inline-block;
+	width:35px;
+	height:34px;
+	background:url(../img/icons-soc.png) no-repeat;
+}
+footer .soc a.github {
+	background-position:0 -34px;
+}
+footer .soc a.meet {
+	background-position:0 -68px;
+}
+footer .soc a.rss {
+        background-position:0 -102px;
+}
diff --git a/docs/css/header.css b/docs/css/header.css
new file mode 100644
index 00000000000..a41a1ac4f17
--- /dev/null
+++ b/docs/css/header.css
@@ -0,0 +1,21 @@
+.navbar {
+   max-width: 1170px;
+   margin: 10px auto 25px;
+   background-color: #eeeeee;
+   border-bottom-width: 0;
+   font-size: 18px;
+   line-height: 20px;
+   font-weight: 300;
+}
+
+.container.druid-navbar {
+   background-color: #171717;
+  -webkit-border-radius: 4px;
+     -moz-border-radius: 4px;
+          border-radius: 4px;
+  -webkit-box-shadow: 0 1px 4px rgba(0, 0, 0, 0.065);
+     -moz-box-shadow: 0 1px 4px rgba(0, 0, 0, 0.065);
+          box-shadow: 0 1px 4px rgba(0, 0, 0, 0.065);
+
+}
+
diff --git a/docs/css/index.css b/docs/css/index.css
new file mode 100644
index 00000000000..d41ee794334
--- /dev/null
+++ b/docs/css/index.css
@@ -0,0 +1,21 @@
+.sub-text {
+   margin-top: 20px;
+   margin-bottom: 50px;
+}
+
+.main-marketing {
+   margin-bottom: 50px;
+}
+
+.main-marketing a {
+   color: #000000;
+}
+
+h2 {
+   font-weight: 400;
+   font-size: 30px;
+}
+
+.main-marketing img {
+   margin-bottom: 40px;
+}
\ No newline at end of file
diff --git a/docs/css/main.css b/docs/css/main.css
new file mode 100644
index 00000000000..3e6f29426d6
--- /dev/null
+++ b/docs/css/main.css
@@ -0,0 +1,57 @@
+@font-face {
+    font-family: 'Conv_framd';
+    src: url('../fonts/framd.eot');
+    src: url('../fonts/framd.eot?#iefix') format('embedded-opentype'),
+         url('../fonts/framd.woff') format('woff'),
+         url('../fonts/framd.ttf') format('truetype'),
+         url('../fonts/framd.svg#heroregular') format('svg');
+    font-weight: normal;
+    font-style: normal;
+}
+
+html, body {
+	position:relative;
+	height:100%;
+	min-height:100%;
+	height:100%;	
+	color:#252525;
+	font:400 18px/26px 'Open Sans', Arial, Helvetica, sans-serif;
+	margin:0;
+	word-wrap:break-word;
+}
+
+h1, h2, h3, h4, h5, h6, .h1, .h2, .h3, .h4, .h5, .h6 {
+  font-family: 'Open Sans', Arial, Helvetica, sans-serif;
+  font-weight: 300;
+}
+
+h3, .h3 {
+   font-size: 30px;
+   font-weight: 300;
+}
+
+.text-indent {
+   padding-left: 50px;
+}
+
+.text-indent-2 {
+   padding-left: 100px;
+}
+
+.text-indent-p p {
+   padding-left: 50px;
+}
+
+code {
+   color: inherit;
+   background-color: transparent;
+}
+
+.page-header {
+   margin-bottom: 40px;
+   text-align: center;
+}
+
+.easter-egg {
+   color: transparent;
+}
\ No newline at end of file
diff --git a/docs/index.html b/docs/index.html
index c7268192374..844b49e4ee2 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -1,13 +1,7 @@
----
-layout: default
-title: Your New Jekyll Site
----
-
-

-  
Blog Posts

-  
    
-    {% for post in site.posts %}
-      
  • {{ post.date | date_to_string }} » {{ post.title }}
    • 
-    {% endfor %}
-  

-

\ No newline at end of file
+
+
+  
+    
+    
+  
+

From 7fed43041d3d083ff3ae8c860393309cbebe9643 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Xavier=20L=C3=A9aut=C3=A9?= 
Date: Thu, 26 Sep 2013 17:38:11 -0700
Subject: [PATCH 2/5] fix layout

---
 docs/content/Loading-Your-Data.md | 486 ++++++++++++++++--------------
 1 file changed, 253 insertions(+), 233 deletions(-)

diff --git a/docs/content/Loading-Your-Data.md b/docs/content/Loading-Your-Data.md
index 6e0f1ed823f..ee04a503bf1 100644
--- a/docs/content/Loading-Your-Data.md
+++ b/docs/content/Loading-Your-Data.md
@@ -25,153 +25,170 @@ mkdir config/broker
 Instructions for booting a Zookeeper and then Kafka cluster are available [here](http://kafka.apache.org/07/quickstart.html).
 
 1. Download Apache Kafka 0.7.2 from [http://kafka.apache.org/downloads.html](http://kafka.apache.org/downloads.html)
-```bash
-wget http://apache.spinellicreations.com/incubator/kafka/kafka-0.7.2-incubating/kafka-0.7.2-incubating-src.tgz
-tar -xvzf kafka-0.7.2-incubating-src.tgz
-cd kafka-0.7.2-incubating-src
-```
+
+  ```bash
+  wget http://apache.spinellicreations.com/incubator/kafka/kafka-0.7.2-incubating/kafka-0.7.2-incubating-src.tgz
+  tar -xvzf kafka-0.7.2-incubating-src.tgz
+  cd kafka-0.7.2-incubating-src
+  ```
+
 2. Build Kafka
-```bash
-./sbt update
-./sbt package
-```
+
+  ```bash
+  ./sbt update
+  ./sbt package
+  ```
+
 3. Boot Kafka
-```bash
-cat config/zookeeper.properties
-bin/zookeeper-server-start.sh config/zookeeper.properties
-# in a new console
-bin/kafka-server-start.sh config/server.properties
-```
+
+  ```bash
+  cat config/zookeeper.properties
+  bin/zookeeper-server-start.sh config/zookeeper.properties
+  # in a new console
+  bin/kafka-server-start.sh config/server.properties
+  ```
+
 4. Launch the console producer (so you can type in JSON kafka messages in a bit)
-```bash
-bin/kafka-console-producer.sh --zookeeper localhost:2181 --topic druidtest
-```
+
+  ```bash
+  bin/kafka-console-producer.sh --zookeeper localhost:2181 --topic druidtest
+  ```
 
 ### Launching a Realtime Node
+
 1. Create a valid configuration file similar to this called config/realtime/runtime.properties:
-```
-druid.host=0.0.0.0:8080
-druid.port=8080
 
-com.metamx.emitter.logging=true
+  ```
+  druid.host=0.0.0.0:8080
+  druid.port=8080
 
-druid.processing.formatString=processing_%s
-druid.processing.numThreads=1
-druid.processing.buffer.sizeBytes=10000000
+  com.metamx.emitter.logging=true
 
-#emitting, opaque marker
-druid.service=example
+  druid.processing.formatString=processing_%s
+  druid.processing.numThreads=1
+  druid.processing.buffer.sizeBytes=10000000
 
-druid.request.logging.dir=/tmp/example/log
-druid.realtime.specFile=realtime.spec
-com.metamx.emitter.logging=true
-com.metamx.emitter.logging.level=debug
+  #emitting, opaque marker
+  druid.service=example
 
-# below are dummy values when operating a realtime only node
-druid.processing.numThreads=3
+  druid.request.logging.dir=/tmp/example/log
+  druid.realtime.specFile=realtime.spec
+  com.metamx.emitter.logging=true
+  com.metamx.emitter.logging.level=debug
 
-com.metamx.aws.accessKey=dummy_access_key
-com.metamx.aws.secretKey=dummy_secret_key
-druid.pusher.s3.bucket=dummy_s3_bucket
+  # below are dummy values when operating a realtime only node
+  druid.processing.numThreads=3
 
-druid.zk.service.host=localhost
-druid.server.maxSize=300000000000
-druid.zk.paths.base=/druid
-druid.database.segmentTable=prod_segments
-druid.database.user=user
-druid.database.password=diurd
-druid.database.connectURI=
-druid.host=127.0.0.1:8080
-```
+  com.metamx.aws.accessKey=dummy_access_key
+  com.metamx.aws.secretKey=dummy_secret_key
+  druid.pusher.s3.bucket=dummy_s3_bucket
+
+  druid.zk.service.host=localhost
+  druid.server.maxSize=300000000000
+  druid.zk.paths.base=/druid
+  druid.database.segmentTable=prod_segments
+  druid.database.user=user
+  druid.database.password=diurd
+  druid.database.connectURI=
+  druid.host=127.0.0.1:8080
+
+  ```
 
 2. Create a valid realtime configuration file similar to this called realtime.spec:
-```json
-[{
-  "schema" : { "dataSource":"druidtest",
-               "aggregators":[ {"type":"count", "name":"impressions"},
-                                  {"type":"doubleSum","name":"wp","fieldName":"wp"}],
-               "indexGranularity":"minute",
-           "shardSpec" : { "type": "none" } },
-  "config" : { "maxRowsInMemory" : 500000,
-               "intermediatePersistPeriod" : "PT10m" },
-  "firehose" : { "type" : "kafka-0.7.2",
-                 "consumerProps" : { "zk.connect" : "localhost:2181",
-                                     "zk.connectiontimeout.ms" : "15000",
-                                     "zk.sessiontimeout.ms" : "15000",
-                                     "zk.synctime.ms" : "5000",
-                                     "groupid" : "topic-pixel-local",
-                                     "fetch.size" : "1048586",
-                                     "autooffset.reset" : "largest",
-                                     "autocommit.enable" : "false" },
-                 "feed" : "druidtest",
-                 "parser" : { "timestampSpec" : { "column" : "utcdt", "format" : "iso" },
-                              "data" : { "format" : "json" },
-                              "dimensionExclusions" : ["wp"] } },
-  "plumber" : { "type" : "realtime",
-                "windowPeriod" : "PT10m",
-                "segmentGranularity":"hour",
-                "basePersistDirectory" : "/tmp/realtime/basePersist",
-                "rejectionPolicy": {"type": "messageTime"} }
 
-}]
-```
+  ```json
+  [{
+    "schema" : { "dataSource":"druidtest",
+                 "aggregators":[ {"type":"count", "name":"impressions"},
+                                    {"type":"doubleSum","name":"wp","fieldName":"wp"}],
+                 "indexGranularity":"minute",
+             "shardSpec" : { "type": "none" } },
+    "config" : { "maxRowsInMemory" : 500000,
+                 "intermediatePersistPeriod" : "PT10m" },
+    "firehose" : { "type" : "kafka-0.7.2",
+                   "consumerProps" : { "zk.connect" : "localhost:2181",
+                                       "zk.connectiontimeout.ms" : "15000",
+                                       "zk.sessiontimeout.ms" : "15000",
+                                       "zk.synctime.ms" : "5000",
+                                       "groupid" : "topic-pixel-local",
+                                       "fetch.size" : "1048586",
+                                       "autooffset.reset" : "largest",
+                                       "autocommit.enable" : "false" },
+                   "feed" : "druidtest",
+                   "parser" : { "timestampSpec" : { "column" : "utcdt", "format" : "iso" },
+                                "data" : { "format" : "json" },
+                                "dimensionExclusions" : ["wp"] } },
+    "plumber" : { "type" : "realtime",
+                  "windowPeriod" : "PT10m",
+                  "segmentGranularity":"hour",
+                  "basePersistDirectory" : "/tmp/realtime/basePersist",
+                  "rejectionPolicy": {"type": "messageTime"} }
+
+  }]
+  ```
 
 3. Launch the realtime node
-```bash
-java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 \
--Ddruid.realtime.specFile=config/realtime/realtime.spec \
--classpath lib/*:config/realtime com.metamx.druid.realtime.RealtimeMain
-```
+
+  ```bash
+  java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 \
+  -Ddruid.realtime.specFile=config/realtime/realtime.spec \
+  -classpath lib/*:config/realtime com.metamx.druid.realtime.RealtimeMain
+  ```
 
 4. Paste data into the Kafka console producer
-```json
-{"utcdt": "2010-01-01T01:01:01", "wp": 1000, "gender": "male", "age": 100}
-{"utcdt": "2010-01-01T01:01:02", "wp": 2000, "gender": "female", "age": 50}
-{"utcdt": "2010-01-01T01:01:03", "wp": 3000, "gender": "male", "age": 20}
-{"utcdt": "2010-01-01T01:01:04", "wp": 4000, "gender": "female", "age": 30}
-{"utcdt": "2010-01-01T01:01:05", "wp": 5000, "gender": "male", "age": 40}
-```
+
+  ```json
+  {"utcdt": "2010-01-01T01:01:01", "wp": 1000, "gender": "male", "age": 100}
+  {"utcdt": "2010-01-01T01:01:02", "wp": 2000, "gender": "female", "age": 50}
+  {"utcdt": "2010-01-01T01:01:03", "wp": 3000, "gender": "male", "age": 20}
+  {"utcdt": "2010-01-01T01:01:04", "wp": 4000, "gender": "female", "age": 30}
+  {"utcdt": "2010-01-01T01:01:05", "wp": 5000, "gender": "male", "age": 40}
+  ```
 
 5. Watch the events as they are ingested by Druid's realtime node
-```bash
-...
-2013-06-17 21:41:55,569 INFO [Global--0] com.metamx.emitter.core.LoggingEmitter - Event [{"feed":"metrics","timestamp":"2013-06-17T21:41:55.569Z","service":"example","host":"127.0.0.1","metric":"events/processed","value":5,"user2":"druidtest"}]
-...
-```
+
+  ```bash
+  ...
+  2013-06-17 21:41:55,569 INFO [Global--0] com.metamx.emitter.core.LoggingEmitter - Event [{"feed":"metrics","timestamp":"2013-06-17T21:41:55.569Z","service":"example","host":"127.0.0.1","metric":"events/processed","value":5,"user2":"druidtest"}]
+  ...
+  ```
 
 6. In a new console, edit a file called query.body:
-```json
-{
-    "queryType": "groupBy",
-    "dataSource": "druidtest",
-    "granularity": "all",
-    "dimensions": [],
-    "aggregations": [
-        { "type": "count", "name": "rows" },
-        {"type": "longSum", "name": "imps", "fieldName": "impressions"},
-        {"type": "doubleSum", "name": "wp", "fieldName": "wp"}
-    ],
-    "intervals": ["2010-01-01T00:00/2020-01-01T00"]
-}
-```
+
+  ```json
+  {
+      "queryType": "groupBy",
+      "dataSource": "druidtest",
+      "granularity": "all",
+      "dimensions": [],
+      "aggregations": [
+          { "type": "count", "name": "rows" },
+          {"type": "longSum", "name": "imps", "fieldName": "impressions"},
+          {"type": "doubleSum", "name": "wp", "fieldName": "wp"}
+      ],
+      "intervals": ["2010-01-01T00:00/2020-01-01T00"]
+  }
+  ```
 
 7. Submit the query via curl
-```bash
-curl -X POST "http://localhost:8080/druid/v2/?pretty" \
--H 'content-type: application/json' -d @query.body
-```
+
+  ```bash
+  curl -X POST "http://localhost:8080/druid/v2/?pretty" \
+  -H 'content-type: application/json' -d @query.body
+  ```
 
 8. View Result!
-```json
-[ {
-  "timestamp" : "2010-01-01T01:01:00.000Z",
-  "result" : {
-    "imps" : 20,
-    "wp" : 60000.0,
-    "rows" : 5
-  }
-} ]
-```
+
+  ```json
+  [ {
+    "timestamp" : "2010-01-01T01:01:00.000Z",
+    "result" : {
+      "imps" : 20,
+      "wp" : 60000.0,
+      "rows" : 5
+    }
+  } ]
+  ```
 
 Now you're ready for [Querying Your Data](Querying-Your-Data.html)!
 
@@ -217,115 +234,118 @@ cd ..
 ```
 
 ### Launch a Master Node ###
+
 If you've already setup a realtime node, be aware that although you can run multiple node types on one physical computer, you must assign them unique ports. Having used 8080 for the [Realtime](Realtime.html) node, we use 8081 for the [Master](Master.html).
 
 1. Setup a configuration file called config/master/runtime.properties similar to:
 
-```bash
-druid.host=0.0.0.0:8081
-druid.port=8081
+  ```bash
+  druid.host=0.0.0.0:8081
+  druid.port=8081
 
-com.metamx.emitter.logging=true
+  com.metamx.emitter.logging=true
 
-druid.processing.formatString=processing_%s
-druid.processing.numThreads=1
-druid.processing.buffer.sizeBytes=10000000
+  druid.processing.formatString=processing_%s
+  druid.processing.numThreads=1
+  druid.processing.buffer.sizeBytes=10000000
 
-#emitting, opaque marker
-druid.service=example
+  # emitting, opaque marker
+  druid.service=example
 
-druid.master.startDelay=PT60s
-druid.request.logging.dir=/tmp/example/log
-druid.realtime.specFile=realtime.spec
-com.metamx.emitter.logging=true
-com.metamx.emitter.logging.level=debug
+  druid.master.startDelay=PT60s
+  druid.request.logging.dir=/tmp/example/log
+  druid.realtime.specFile=realtime.spec
+  com.metamx.emitter.logging=true
+  com.metamx.emitter.logging.level=debug
 
-# below are dummy values when operating a realtime only node
-druid.processing.numThreads=3
+  # below are dummy values when operating a realtime only node
+  druid.processing.numThreads=3
 
-com.metamx.aws.accessKey=dummy_access_key
-com.metamx.aws.secretKey=dummy_secret_key
-druid.pusher.s3.bucket=dummy_s3_bucket
+  com.metamx.aws.accessKey=dummy_access_key
+  com.metamx.aws.secretKey=dummy_secret_key
+  druid.pusher.s3.bucket=dummy_s3_bucket
 
-druid.zk.service.host=localhost
-druid.server.maxSize=300000000000
-druid.zk.paths.base=/druid
-druid.database.segmentTable=prod_segments
-druid.database.user=druid
-druid.database.password=diurd
-druid.database.connectURI=jdbc:mysql://localhost:3306/druid
-druid.zk.paths.discoveryPath=/druid/discoveryPath
-druid.database.ruleTable=rules
-druid.database.configTable=config
+  druid.zk.service.host=localhost
+  druid.server.maxSize=300000000000
+  druid.zk.paths.base=/druid
+  druid.database.segmentTable=prod_segments
+  druid.database.user=druid
+  druid.database.password=diurd
+  druid.database.connectURI=jdbc:mysql://localhost:3306/druid
+  druid.zk.paths.discoveryPath=/druid/discoveryPath
+  druid.database.ruleTable=rules
+  druid.database.configTable=config
+
+  # Path on local FS for storage of segments; dir will be created if needed
+  druid.paths.indexCache=/tmp/druid/indexCache
+  # Path on local FS for storage of segment metadata; dir will be created if needed
+  druid.paths.segmentInfoCache=/tmp/druid/segmentInfoCache
+  ```
 
-# Path on local FS for storage of segments; dir will be created if needed
-druid.paths.indexCache=/tmp/druid/indexCache
-# Path on local FS for storage of segment metadata; dir will be created if needed
-druid.paths.segmentInfoCache=/tmp/druid/segmentInfoCache
-```
 2. Launch the [Master](Master.html) node
 
-```bash
-java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 \
--classpath lib/*:config/master \
-com.metamx.druid.http.MasterMain
-```
+  ```bash
+  java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 \
+  -classpath lib/*:config/master \
+  com.metamx.druid.http.MasterMain
+  ```
 
 ### Launch a Compute/Historical Node ###
+
 1. Create a configuration file in config/compute/runtime.properties similar to:
 
-```bash
-druid.host=0.0.0.0:8082
-druid.port=8082
+  ```bash
+  druid.host=0.0.0.0:8082
+  druid.port=8082
 
-com.metamx.emitter.logging=true
+  com.metamx.emitter.logging=true
 
-druid.processing.formatString=processing_%s
-druid.processing.numThreads=1
-druid.processing.buffer.sizeBytes=10000000
+  druid.processing.formatString=processing_%s
+  druid.processing.numThreads=1
+  druid.processing.buffer.sizeBytes=10000000
 
-#emitting, opaque marker
-druid.service=example
+  # emitting, opaque marker
+  druid.service=example
 
-druid.request.logging.dir=/tmp/example/log
-druid.realtime.specFile=realtime.spec
-com.metamx.emitter.logging=true
-com.metamx.emitter.logging.level=debug
+  druid.request.logging.dir=/tmp/example/log
+  druid.realtime.specFile=realtime.spec
+  com.metamx.emitter.logging=true
+  com.metamx.emitter.logging.level=debug
 
-# below are dummy values when operating a realtime only node
-druid.processing.numThreads=3
+  # below are dummy values when operating a realtime only node
+  druid.processing.numThreads=3
 
-com.metamx.aws.accessKey=dummy_access_key
-com.metamx.aws.secretKey=dummy_secret_key
-druid.pusher.s3.bucket=dummy_s3_bucket
+  com.metamx.aws.accessKey=dummy_access_key
+  com.metamx.aws.secretKey=dummy_secret_key
+  druid.pusher.s3.bucket=dummy_s3_bucket
 
-druid.zk.service.host=localhost
-druid.server.maxSize=300000000000
-druid.zk.paths.base=/druid
-druid.database.segmentTable=prod_segments
-druid.database.user=druid
-druid.database.password=diurd
-druid.database.connectURI=jdbc:mysql://localhost:3306/druid
-druid.zk.paths.discoveryPath=/druid/discoveryPath
-druid.database.ruleTable=rules
-druid.database.configTable=config
+  druid.zk.service.host=localhost
+  druid.server.maxSize=300000000000
+  druid.zk.paths.base=/druid
+  druid.database.segmentTable=prod_segments
+  druid.database.user=druid
+  druid.database.password=diurd
+  druid.database.connectURI=jdbc:mysql://localhost:3306/druid
+  druid.zk.paths.discoveryPath=/druid/discoveryPath
+  druid.database.ruleTable=rules
+  druid.database.configTable=config
 
 # Path on local FS for storage of segments; dir will be created if needed
-druid.paths.indexCache=/tmp/druid/indexCache
+  druid.paths.indexCache=/tmp/druid/indexCache
 # Path on local FS for storage of segment metadata; dir will be created if needed
-druid.paths.segmentInfoCache=/tmp/druid/segmentInfoCache
+  druid.paths.segmentInfoCache=/tmp/druid/segmentInfoCache
 # Setup local storage mode
-druid.pusher.local.storageDirectory=/tmp/druid/localStorage
-druid.pusher.local=true
-```
+  druid.pusher.local.storageDirectory=/tmp/druid/localStorage
+  druid.pusher.local=true
+  ```
 
 2. Launch the compute node:
 
-```bash
-java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 \
--classpath lib/*:config/compute \
-com.metamx.druid.http.ComputeMain
-```
+  ```bash
+  java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 \
+  -classpath lib/*:config/compute \
+  com.metamx.druid.http.ComputeMain
+  ```
 
 ### Create a File of Records ###
 
@@ -345,46 +365,46 @@ Now its time to run the Hadoop [Batch-ingestion](Batch-ingestion.html) job, Hado
 
 1. Create a config called batchConfig.json similar to:
 
-```json
-{
-  "dataSource": "druidtest",
-  "timestampColumn": "utcdt",
-  "timestampFormat": "iso",
-  "dataSpec": {
-    "format": "json",
-    "dimensions": ["gender", "age"]
-  },
-  "granularitySpec": {
-    "type":"uniform",
-    "intervals":["2010-01-01T01/PT1H"],
-    "gran":"hour"
-  },
-  "pathSpec": { "type": "static",
-                "paths": "/Users/rjurney/Software/druid/records.json" },
-  "rollupSpec": { "aggs":[ {"type":"count", "name":"impressions"},
-                           {"type":"doubleSum","name":"wp","fieldName":"wp"}
-                           ],
-                  "rollupGranularity": "minute"},
-  "workingPath": "/tmp/working_path",
-  "segmentOutputPath": "/tmp/segments",
-  "leaveIntermediate": "false",
-  "partitionsSpec": {
-    "targetPartitionSize": 5000000
-  },
-  "updaterJobSpec": {
-    "type":"db",
-    "connectURI":"jdbc:mysql://localhost:3306/druid",
-    "user":"druid",
-    "password":"diurd",
-    "segmentTable":"prod_segments"
+  ```json
+  {
+    "dataSource": "druidtest",
+    "timestampColumn": "utcdt",
+    "timestampFormat": "iso",
+    "dataSpec": {
+      "format": "json",
+      "dimensions": ["gender", "age"]
+    },
+    "granularitySpec": {
+      "type":"uniform",
+      "intervals":["2010-01-01T01/PT1H"],
+      "gran":"hour"
+    },
+    "pathSpec": { "type": "static",
+                  "paths": "/Users/rjurney/Software/druid/records.json" },
+    "rollupSpec": { "aggs":[ {"type":"count", "name":"impressions"},
+                             {"type":"doubleSum","name":"wp","fieldName":"wp"}
+                             ],
+                    "rollupGranularity": "minute"},
+    "workingPath": "/tmp/working_path",
+    "segmentOutputPath": "/tmp/segments",
+    "leaveIntermediate": "false",
+    "partitionsSpec": {
+      "targetPartitionSize": 5000000
+    },
+    "updaterJobSpec": {
+      "type":"db",
+      "connectURI":"jdbc:mysql://localhost:3306/druid",
+      "user":"druid",
+      "password":"diurd",
+      "segmentTable":"prod_segments"
+    }
   }
-}
-```
+  ```
 
 2. Now run the job, with the config pointing at batchConfig.json:
 
-```bash
-java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 -Ddruid.realtime.specFile=realtime.spec -classpath lib/* com.metamx.druid.indexer.HadoopDruidIndexerMain batchConfig.json
-```
+  ```bash
+  java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 -Ddruid.realtime.specFile=realtime.spec -classpath lib/* com.metamx.druid.indexer.HadoopDruidIndexerMain batchConfig.json
+  ```
 
 You can now move on to [Querying Your Data](Querying-Your-Data.html)!

From 86ddc7da7b8a18cedbfed7c1b44bc6c595255f69 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Xavier=20L=C3=A9aut=C3=A9?= 
Date: Thu, 26 Sep 2013 17:55:10 -0700
Subject: [PATCH 3/5] pretty !

---
 docs/_includes/site_head.html     |  7 ++++---
 docs/content/Loading-Your-Data.md | 11 ++++++-----
 2 files changed, 10 insertions(+), 8 deletions(-)

diff --git a/docs/_includes/site_head.html b/docs/_includes/site_head.html
index 148976f98fe..8528dddef65 100644
--- a/docs/_includes/site_head.html
+++ b/docs/_includes/site_head.html
@@ -11,8 +11,9 @@
 
 
 
-
-
-
+
+
+
+
 
 
diff --git a/docs/content/Loading-Your-Data.md b/docs/content/Loading-Your-Data.md
index ee04a503bf1..1dd870e37d8 100644
--- a/docs/content/Loading-Your-Data.md
+++ b/docs/content/Loading-Your-Data.md
@@ -58,7 +58,7 @@ Instructions for booting a Zookeeper and then Kafka cluster are available [here]
 
 1. Create a valid configuration file similar to this called config/realtime/runtime.properties:
 
-  ```
+  ```properties
   druid.host=0.0.0.0:8080
   druid.port=8080
 
@@ -91,7 +91,6 @@ Instructions for booting a Zookeeper and then Kafka cluster are available [here]
   druid.database.password=diurd
   druid.database.connectURI=
   druid.host=127.0.0.1:8080
-
   ```
 
 2. Create a valid realtime configuration file similar to this called realtime.spec:
@@ -239,7 +238,7 @@ If you've already setup a realtime node, be aware that although you can run mult
 
 1. Setup a configuration file called config/master/runtime.properties similar to:
 
-  ```bash
+  ```properties
   druid.host=0.0.0.0:8081
   druid.port=8081
 
@@ -294,7 +293,7 @@ If you've already setup a realtime node, be aware that although you can run mult
 
 1. Create a configuration file in config/compute/runtime.properties similar to:
 
-  ```bash
+  ```properties
   druid.host=0.0.0.0:8082
   druid.port=8082
 
@@ -404,7 +403,9 @@ Now its time to run the Hadoop [Batch-ingestion](Batch-ingestion.html) job, Hado
 2. Now run the job, with the config pointing at batchConfig.json:
 
   ```bash
-  java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 -Ddruid.realtime.specFile=realtime.spec -classpath lib/* com.metamx.druid.indexer.HadoopDruidIndexerMain batchConfig.json
+  java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 \
+       -Ddruid.realtime.specFile=realtime.spec -classpath lib/* \
+       com.metamx.druid.indexer.HadoopDruidIndexerMain batchConfig.json
   ```
 
 You can now move on to [Querying Your Data](Querying-Your-Data.html)!

From ca5c94156040f9dd21c9fa85046e4ed40e8aa9fe Mon Sep 17 00:00:00 2001
From: cheddar 
Date: Fri, 27 Sep 2013 12:57:08 -0500
Subject: [PATCH 4/5] Make more of the docs look and work correctly.  Yay! 
 Almost done with this!

---
 docs/_includes/.#site_head.html               |   1 -
 docs/_layouts/doc_page.html                   |   3 -
 docs/content/Cluster-setup.md                 | 114 -----
 docs/content/Configuration.md                 |  80 ++--
 docs/content/Querying-your-data.md            | 217 ++++-----
 .../Tutorial:-A-First-Look-at-Druid.md        | 424 ++++++++----------
 docs/content/Tutorial:-The-Druid-Cluster.md   |  67 +--
 docs/content/css/docs.css                     |  37 ++
 docs/content/toc.textile                      |   3 +-
 docs/css/footer.css                           |  38 --
 docs/css/header.css                           |  21 -
 docs/css/main.css                             |  57 ---
 12 files changed, 377 insertions(+), 685 deletions(-)
 delete mode 120000 docs/_includes/.#site_head.html
 delete mode 100644 docs/content/Cluster-setup.md
 delete mode 100644 docs/css/footer.css
 delete mode 100644 docs/css/header.css
 delete mode 100644 docs/css/main.css

diff --git a/docs/_includes/.#site_head.html b/docs/_includes/.#site_head.html
deleted file mode 120000
index 8adca25de40..00000000000
--- a/docs/_includes/.#site_head.html
+++ /dev/null
@@ -1 +0,0 @@
-cheddar@ChedHeads-MacBook-Pro-2.local.61986
\ No newline at end of file
diff --git a/docs/_layouts/doc_page.html b/docs/_layouts/doc_page.html
index b457e99490c..5da6dd5bbc5 100644
--- a/docs/_layouts/doc_page.html
+++ b/docs/_layouts/doc_page.html
@@ -2,9 +2,6 @@
 
   
     {% include site_head.html %}
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diff --git a/docs/content/Cluster-setup.md b/docs/content/Cluster-setup.md
deleted file mode 100644
index ecd9f669360..00000000000
--- a/docs/content/Cluster-setup.md
+++ /dev/null
@@ -1,114 +0,0 @@
----
-layout: doc_page
----
-A Druid cluster consists of various node types that need to be set up depending on your use case. See our [Design](Design.html) docs for a description of the different node types.
-
-Setup Scripts
--------------
-
-One of our community members, [housejester](https://github.com/housejester/), contributed some scripts to help with setting up a cluster. Checkout the [github](https://github.com/housejester/druid-test-harness) and [wiki](https://github.com/housejester/druid-test-harness/wiki/Druid-Test-Harness).
-
-Minimum Physical Layout: Absolute Minimum
------------------------------------------
-
-As a special case, the absolute minimum setup is one of the standalone examples for realtime ingestion and querying; see [Examples](Examples.html) that can easily run on one machine with one core and 1GB RAM. This layout can be set up to try some basic queries with Druid.
-
-Minimum Physical Layout: Experimental Testing with 4GB of RAM
--------------------------------------------------------------
-
-This layout can be used to load some data from deep storage onto a Druid compute node for the first time. A minimal physical layout for a 1 or 2 core machine with 4GB of RAM is:
-
-1.  node1: [Master](Master.html) + metadata service + zookeeper + [Compute](Compute.html)
-2.  transient nodes: indexer
-
-This setup is only reasonable to prove that a configuration works. It would not be worthwhile to use this layout for performance measurement.
-
-Comfortable Physical Layout: Pilot Project with Multiple Machines
------------------------------------------------------------------
-
-*The machine size “flavors” are using AWS/EC2 terminology for descriptive purposes only and is not meant to imply that AWS/EC2 is required or recommended. Another cloud provider or your own hardware can also work.*
-
-A minimal physical layout not constrained by cores that demonstrates parallel querying and realtime, using AWS-EC2 “small”/m1.small (one core, with 1.7GB of RAM) or larger, no realtime, is:
-
-1.  node1: [Master](Master.html) (m1.small)
-2.  node2: metadata service (m1.small)
-3.  node3: zookeeper (m1.small)
-4.  node4: [Broker](Broker.html) (m1.small or m1.medium or m1.large)
-5.  node5: [Compute](Compute.html) (m1.small or m1.medium or m1.large)
-6.  node6: [Compute](Compute.html) (m1.small or m1.medium or m1.large)
-7.  node7: [Realtime](Realtime.html) (m1.small or m1.medium or m1.large)
-8.  transient nodes: indexer
-
-This layout naturally lends itself to adding more RAM and core to Compute nodes, and to adding many more Compute nodes. Depending on the actual load, the Master, metadata server, and Zookeeper might need to use larger machines.
-
-High Availability Physical Layout
----------------------------------
-
-*The machine size “flavors” are using AWS/EC2 terminology for descriptive purposes only and is not meant to imply that AWS/EC2 is required or recommended. Another cloud provider or your own hardware can also work.*
-
-An HA layout allows full rolling restarts and heavy volume:
-
-1.  node1: [Master](Master.html) (m1.small or m1.medium or m1.large)
-2.  node2: [Master](Master.html) (m1.small or m1.medium or m1.large) (backup)
-3.  node3: metadata service (c1.medium or m1.large)
-4.  node4: metadata service (c1.medium or m1.large) (backup)
-5.  node5: zookeeper (c1.medium)
-6.  node6: zookeeper (c1.medium)
-7.  node7: zookeeper (c1.medium)
-8.  node8: [Broker](Broker.html) (m1.small or m1.medium or m1.large or m2.xlarge or m2.2xlarge or m2.4xlarge)
-9.  node9: [Broker](Broker.html) (m1.small or m1.medium or m1.large or m2.xlarge or m2.2xlarge or m2.4xlarge) (backup)
-10. node10: [Compute](Compute.html) (m1.small or m1.medium or m1.large or m2.xlarge or m2.2xlarge or m2.4xlarge)
-11. node11: [Compute](Compute.html) (m1.small or m1.medium or m1.large or m2.xlarge or m2.2xlarge or m2.4xlarge)
-12. node12: [Realtime](Realtime.html) (m1.small or m1.medium or m1.large or m2.xlarge or m2.2xlarge or m2.4xlarge)
-13. transient nodes: indexer
-
-Sizing for Cores and RAM
-------------------------
-
-The Compute and Broker nodes will use as many cores as are available, depending on usage, so it is best to keep these on dedicated machines. The upper limit of effectively utilized cores is not well characterized yet and would depend on types of queries, query load, and the schema. Compute daemons should have a heap a size of at least 1GB per core for normal usage, but could be squeezed into a smaller heap for testing. Since in-memory caching is essential for good performance, even more RAM is better. Broker nodes will use RAM for caching, so they do more than just route queries.
-
-The effective utilization of cores by Zookeeper, MySQL, and Master nodes is likely to be between 1 and 2 for each process/daemon, so these could potentially share a machine with lots of cores. These daemons work with heap a size between 500MB and 1GB.
-
-Storage
--------
-
-Indexed segments should be kept in a permanent store accessible by all nodes like AWS S3 or HDFS or equivalent. Currently Druid supports S3, but this will be extended soon.
-
-Local disk (“ephemeral” on AWS EC2) for caching is recommended over network mounted storage (example of mounted: AWS EBS, Elastic Block Store) in order to avoid network delays during times of heavy usage. If your data center is suitably provisioned for networked storage, perhaps with separate LAN/NICs just for storage, then mounted might work fine.
-
-Setup
------
-
-Setting up a cluster is essentially just firing up all of the nodes you want with the proper [configuration](configuration.html). One thing to be aware of is that there are a few properties in the configuration that potentially need to be set individually for each process:
-
-    
-    druid.server.type=historical|realtime
-    druid.host=someHostOrIPaddrWithPort
-    druid.port=8080
-    
-
-`druid.server.type` should be set to “historical” for your compute nodes and realtime for the realtime nodes. The master will only assign segments to a “historical” node and the broker has some intelligence around its ability to cache results when talking to a realtime node. This does not need to be set for the master or the broker.
-
-`druid.host` should be set to the hostname and port that can be used to talk to the given server process. Basically, someone should be able to send a request to http://\${druid.host}/ and actually talk to the process.
-
-`druid.port` should be set to the port that the server should listen on. In the vast majority of cases, this port should be the same as what is on `druid.host`.
-
-Build/Run
----------
-
-The simplest way to build and run from the repository is to run `mvn package` from the base directory and then take `druid-services/target/druid-services-*-selfcontained.jar` and push that around to your machines; the jar does not need to be expanded, and since it contains the main() methods for each kind of service, it is **not** invoked with java ~~jar. It can be run from a normal java command-line by just including it on the classpath and then giving it the main class that you want to run. For example one instance of the Compute node/service can be started like this:
-\
-
-java~~Duser.timezone=UTC ~~Dfile.encoding=UTF-8~~cp compute/:druid-services/target/druid-services~~\*~~selfcontained.jar com.metamx.druid.http.ComputeMain
-
-
-
-The following table shows the possible services and fully qualified class for main(). - -|service|main class| -|-------|----------| -|[ Realtime ]( Realtime .html)|com.metamx.druid.realtime.RealtimeMain| -|[ Master ]( Master .html)|com.metamx.druid.http.MasterMain| -|[ Broker ]( Broker .html)|com.metamx.druid.http.BrokerMain| -|[ Compute ]( Compute .html)|com.metamx.druid.http.ComputeMain| - diff --git a/docs/content/Configuration.md b/docs/content/Configuration.md index ac8d22e1acc..607351433b7 100644 --- a/docs/content/Configuration.md +++ b/docs/content/Configuration.md @@ -21,59 +21,59 @@ The periodic time intervals (like “PT1M”) are [ISO8601 intervals](http://en. An example runtime.properties is as follows: - - # S3 access - com.metamx.aws.accessKey= - com.metamx.aws.secretKey= +``` +# S3 access +com.metamx.aws.accessKey= +com.metamx.aws.secretKey= - # thread pool size for servicing queries - druid.client.http.connections=30 +# thread pool size for servicing queries +druid.client.http.connections=30 - # JDBC connection string for metadata database - druid.database.connectURI= - druid.database.user=user - druid.database.password=password - # time between polling for metadata database - druid.database.poll.duration=PT1M - druid.database.segmentTable=prod_segments +# JDBC connection string for metadata database +druid.database.connectURI= +druid.database.user=user +druid.database.password=password +# time between polling for metadata database +druid.database.poll.duration=PT1M +druid.database.segmentTable=prod_segments - # Path on local FS for storage of segments; dir will be created if needed - druid.paths.indexCache=/tmp/druid/indexCache - # Path on local FS for storage of segment metadata; dir will be created if needed - druid.paths.segmentInfoCache=/tmp/druid/segmentInfoCache +# Path on local FS for storage of segments; dir will be created if needed +druid.paths.indexCache=/tmp/druid/indexCache +# Path on local FS for storage of segment metadata; dir will be created if needed +druid.paths.segmentInfoCache=/tmp/druid/segmentInfoCache - druid.request.logging.dir=/tmp/druid/log +druid.request.logging.dir=/tmp/druid/log - druid.server.maxSize=300000000000 +druid.server.maxSize=300000000000 - # ZK quorum IPs - druid.zk.service.host= - # ZK path prefix for Druid-usage of zookeeper, Druid will create multiple paths underneath this znode - druid.zk.paths.base=/druid - # ZK path for discovery, the only path not to doc_page to anything - druid.zk.paths.discoveryPath=/druid/discoveryPath +# ZK quorum IPs +druid.zk.service.host= +# ZK path prefix for Druid-usage of zookeeper, Druid will create multiple paths underneath this znode +druid.zk.paths.base=/druid +# ZK path for discovery, the only path not to doc_page to anything +druid.zk.paths.discoveryPath=/druid/discoveryPath - # the host:port as advertised to clients - druid.host=someHostOrIPaddrWithPort - # the port on which to listen, this port should line up with the druid.host value - druid.port=8080 +# the host:port as advertised to clients +druid.host=someHostOrIPaddrWithPort +# the port on which to listen, this port should line up with the druid.host value +druid.port=8080 - com.metamx.emitter.logging=true - com.metamx.emitter.logging.level=debug +com.metamx.emitter.logging=true +com.metamx.emitter.logging.level=debug - druid.processing.formatString=processing_%s - druid.processing.numThreads=3 +druid.processing.formatString=processing_%s +druid.processing.numThreads=3 - druid.computation.buffer.size=100000000 +druid.computation.buffer.size=100000000 - # S3 dest for realtime indexer - druid.pusher.s3.bucket= - druid.pusher.s3.baseKey= +# S3 dest for realtime indexer +druid.pusher.s3.bucket= +druid.pusher.s3.baseKey= - druid.bard.cache.sizeInBytes=40000000 - druid.master.merger.service=blah_blah - +druid.bard.cache.sizeInBytes=40000000 +druid.master.merger.service=blah_blah +``` Configuration groupings ----------------------- diff --git a/docs/content/Querying-your-data.md b/docs/content/Querying-your-data.md index f23e6f90801..ba5045131f6 100644 --- a/docs/content/Querying-your-data.md +++ b/docs/content/Querying-your-data.md @@ -8,93 +8,100 @@ Before we start querying druid, we're going to finish setting up a complete clus ## Booting a Broker Node ## 1. Setup a config file at config/broker/runtime.properties that looks like this: -``` -druid.host=0.0.0.0:8083 -druid.port=8083 + + ``` + druid.host=0.0.0.0:8083 + druid.port=8083 -com.metamx.emitter.logging=true + com.metamx.emitter.logging=true -druid.processing.formatString=processing_%s -druid.processing.numThreads=1 -druid.processing.buffer.sizeBytes=10000000 + druid.processing.formatString=processing_%s + druid.processing.numThreads=1 + druid.processing.buffer.sizeBytes=10000000 -#emitting, opaque marker -druid.service=example + #emitting, opaque marker + druid.service=example -druid.request.logging.dir=/tmp/example/log -druid.realtime.specFile=realtime.spec -com.metamx.emitter.logging=true -com.metamx.emitter.logging.level=debug + druid.request.logging.dir=/tmp/example/log + druid.realtime.specFile=realtime.spec + com.metamx.emitter.logging=true + com.metamx.emitter.logging.level=debug -# below are dummy values when operating a realtime only node -druid.processing.numThreads=3 + # below are dummy values when operating a realtime only node + druid.processing.numThreads=3 -com.metamx.aws.accessKey=dummy_access_key -com.metamx.aws.secretKey=dummy_secret_key -druid.pusher.s3.bucket=dummy_s3_bucket + com.metamx.aws.accessKey=dummy_access_key + com.metamx.aws.secretKey=dummy_secret_key + druid.pusher.s3.bucket=dummy_s3_bucket -druid.zk.service.host=localhost -druid.server.maxSize=300000000000 -druid.zk.paths.base=/druid -druid.database.segmentTable=prod_segments -druid.database.user=druid -druid.database.password=diurd -druid.database.connectURI=jdbc:mysql://localhost:3306/druid -druid.zk.paths.discoveryPath=/druid/discoveryPath -druid.database.ruleTable=rules -druid.database.configTable=config + druid.zk.service.host=localhost + druid.server.maxSize=300000000000 + druid.zk.paths.base=/druid + druid.database.segmentTable=prod_segments + druid.database.user=druid + druid.database.password=diurd + druid.database.connectURI=jdbc:mysql://localhost:3306/druid + druid.zk.paths.discoveryPath=/druid/discoveryPath + druid.database.ruleTable=rules + druid.database.configTable=config -# Path on local FS for storage of segments; dir will be created if needed -druid.paths.indexCache=/tmp/druid/indexCache -# Path on local FS for storage of segment metadata; dir will be created if needed -druid.paths.segmentInfoCache=/tmp/druid/segmentInfoCache -druid.pusher.local.storageDirectory=/tmp/druid/localStorage -druid.pusher.local=true + # Path on local FS for storage of segments; dir will be created if needed + druid.paths.indexCache=/tmp/druid/indexCache + # Path on local FS for storage of segment metadata; dir will be created if needed + druid.paths.segmentInfoCache=/tmp/druid/segmentInfoCache + druid.pusher.local.storageDirectory=/tmp/druid/localStorage + druid.pusher.local=true -# thread pool size for servicing queries -druid.client.http.connections=30 -``` + # thread pool size for servicing queries + druid.client.http.connections=30 + ``` 2. Run the broker node: -```bash -java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 \ --Ddruid.realtime.specFile=realtime.spec \ --classpath services/target/druid-services-0.5.50-SNAPSHOT-selfcontained.jar:config/broker \ -com.metamx.druid.http.BrokerMain -``` + + ```bash + java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 \ + -Ddruid.realtime.specFile=realtime.spec \ + -classpath services/target/druid-services-0.5.50-SNAPSHOT-selfcontained.jar:config/broker \ + com.metamx.druid.http.BrokerMain + ``` ## Booting a Master Node ## 1. Setup a config file at config/master/runtime.properties that looks like this: [https://gist.github.com/rjurney/5818870](https://gist.github.com/rjurney/5818870) + 2. Run the master node: -```bash -java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 \ --classpath services/target/druid-services-0.5.50-SNAPSHOT-selfcontained.jar:config/master \ -com.metamx.druid.http.MasterMain -``` + + ```bash + java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 \ + -classpath services/target/druid-services-0.5.50-SNAPSHOT-selfcontained.jar:config/master \ + com.metamx.druid.http.MasterMain + ``` ## Booting a Realtime Node ## 1. Setup a config file at config/realtime/runtime.properties that looks like this: [https://gist.github.com/rjurney/5818774](https://gist.github.com/rjurney/5818774) 2. Setup a realtime.spec file like this: [https://gist.github.com/rjurney/5818779](https://gist.github.com/rjurney/5818779) + 3. Run the realtime node: -```bash -java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 \ --Ddruid.realtime.specFile=realtime.spec \ --classpath services/target/druid-services-0.5.50-SNAPSHOT-selfcontained.jar:config/realtime \ -com.metamx.druid.realtime.RealtimeMain -``` + + ```bash + java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 \ + -Ddruid.realtime.specFile=realtime.spec \ + -classpath services/target/druid-services-0.5.50-SNAPSHOT-selfcontained.jar:config/realtime \ + com.metamx.druid.realtime.RealtimeMain + ``` ## Booting a Compute Node ## 1. Setup a config file at config/compute/runtime.properties that looks like this: [https://gist.github.com/rjurney/5818885](https://gist.github.com/rjurney/5818885) 2. Run the compute node: -```bash -java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 \ --classpath services/target/druid-services-0.5.50-SNAPSHOT-selfcontained.jar:config/compute \ -com.metamx.druid.http.ComputeMain -``` + + ```bash + java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 \ + -classpath services/target/druid-services-0.5.50-SNAPSHOT-selfcontained.jar:config/compute \ + com.metamx.druid.http.ComputeMain + ``` # Querying Your Data # @@ -107,6 +114,7 @@ As a shared-nothing system, there are three ways to query druid, against the [Re ### Construct a Query ### For constructing this query, see: Querying against the realtime.spec + ```json { "queryType": "groupBy", @@ -125,57 +133,52 @@ For constructing this query, see: Querying against the realtime.spec ### Querying the Realtime Node ### Run our query against port 8080: + ```bash -curl -X POST "http://localhost:8080/druid/v2/?pretty" \ --H 'content-type: application/json' -d @query.body +curl -X POST "http://localhost:8080/druid/v2/?pretty" -H 'content-type: application/json' -d @query.body ``` + See our result: + ```json [ { "version" : "v1", "timestamp" : "2010-01-01T00:00:00.000Z", - "event" : { - "imps" : 5, - "wp" : 15000.0, - "rows" : 5 - } + "event" : { "imps" : 5, "wp" : 15000.0, "rows" : 5 } } ] ``` ### Querying the Compute Node ### Run the query against port 8082: + ```bash -curl -X POST "http://localhost:8082/druid/v2/?pretty" \ --H 'content-type: application/json' -d @query.body +curl -X POST "http://localhost:8082/druid/v2/?pretty" -H 'content-type: application/json' -d @query.body ``` + And get (similar to): + ```json [ { "version" : "v1", "timestamp" : "2010-01-01T00:00:00.000Z", - "event" : { - "imps" : 27, - "wp" : 77000.0, - "rows" : 9 - } + "event" : { "imps" : 27, "wp" : 77000.0, "rows" : 9 } } ] ``` + ### Querying both Nodes via the Broker ### Run the query against port 8083: + ```bash -curl -X POST "http://localhost:8083/druid/v2/?pretty" \ --H 'content-type: application/json' -d @query.body +curl -X POST "http://localhost:8083/druid/v2/?pretty" -H 'content-type: application/json' -d @query.body ``` + And get: + ```json [ { "version" : "v1", "timestamp" : "2010-01-01T00:00:00.000Z", - "event" : { - "imps" : 5, - "wp" : 15000.0, - "rows" : 5 - } + "event" : { "imps" : 5, "wp" : 15000.0, "rows" : 5 } } ] ``` @@ -189,9 +192,9 @@ How are we to know what queries we can run? Although [Querying](Querying.html) i [{ "schema" : { "dataSource":"druidtest", "aggregators":[ {"type":"count", "name":"impressions"}, - {"type":"doubleSum","name":"wp","fieldName":"wp"}], + {"type":"doubleSum","name":"wp","fieldName":"wp"}], "indexGranularity":"minute", - "shardSpec" : { "type": "none" } }, + "shardSpec" : { "type": "none" } }, "config" : { "maxRowsInMemory" : 500000, "intermediatePersistPeriod" : "PT10m" }, "firehose" : { "type" : "kafka-0.7.2", @@ -221,6 +224,7 @@ How are we to know what queries we can run? Although [Querying](Querying.html) i ```json "dataSource":"druidtest" ``` + Our dataSource tells us the name of the relation/table, or 'source of data', to query in both our realtime.spec and query.body! ### aggregations ### @@ -239,7 +243,7 @@ this matches up to the aggregators in the schema of our realtime.spec! ```json "aggregators":[ {"type":"count", "name":"impressions"}, - {"type":"doubleSum","name":"wp","fieldName":"wp"}], + {"type":"doubleSum","name":"wp","fieldName":"wp"}], ``` ### dimensions ### @@ -277,48 +281,23 @@ Which gets us grouped data in return! [ { "version" : "v1", "timestamp" : "2010-01-01T00:00:00.000Z", - "event" : { - "imps" : 1, - "age" : "100", - "wp" : 1000.0, - "rows" : 1 - } + "event" : { "imps" : 1, "age" : "100", "wp" : 1000.0, "rows" : 1 } }, { "version" : "v1", "timestamp" : "2010-01-01T00:00:00.000Z", - "event" : { - "imps" : 1, - "age" : "20", - "wp" : 3000.0, - "rows" : 1 - } + "event" : { "imps" : 1, "age" : "20", "wp" : 3000.0, "rows" : 1 } }, { "version" : "v1", "timestamp" : "2010-01-01T00:00:00.000Z", - "event" : { - "imps" : 1, - "age" : "30", - "wp" : 4000.0, - "rows" : 1 - } + "event" : { "imps" : 1, "age" : "30", "wp" : 4000.0, "rows" : 1 } }, { "version" : "v1", "timestamp" : "2010-01-01T00:00:00.000Z", - "event" : { - "imps" : 1, - "age" : "40", - "wp" : 5000.0, - "rows" : 1 - } + "event" : { "imps" : 1, "age" : "40", "wp" : 5000.0, "rows" : 1 } }, { "version" : "v1", "timestamp" : "2010-01-01T00:00:00.000Z", - "event" : { - "imps" : 1, - "age" : "50", - "wp" : 2000.0, - "rows" : 1 - } + "event" : { "imps" : 1, "age" : "50", "wp" : 2000.0, "rows" : 1 } } ] ``` @@ -331,11 +310,7 @@ Now that we've observed our dimensions, we can also filter: "queryType": "groupBy", "dataSource": "druidtest", "granularity": "all", - "filter": { - "type": "selector", - "dimension": "gender", - "value": "male" - }, + "filter": { "type": "selector", "dimension": "gender", "value": "male" }, "aggregations": [ {"type": "count", "name": "rows"}, {"type": "longSum", "name": "imps", "fieldName": "impressions"}, @@ -351,11 +326,7 @@ Which gets us just people aged 40: [ { "version" : "v1", "timestamp" : "2010-01-01T00:00:00.000Z", - "event" : { - "imps" : 3, - "wp" : 9000.0, - "rows" : 3 - } + "event" : { "imps" : 3, "wp" : 9000.0, "rows" : 3 } } ] ``` diff --git a/docs/content/Tutorial:-A-First-Look-at-Druid.md b/docs/content/Tutorial:-A-First-Look-at-Druid.md index 67405e906e3..99123935f9e 100644 --- a/docs/content/Tutorial:-A-First-Look-at-Druid.md +++ b/docs/content/Tutorial:-A-First-Look-at-Druid.md @@ -13,28 +13,30 @@ Each event has a timestamp indicating the time of the edit (in UTC time), a list Specifically. the data schema looks like so: Dimensions (things to filter on): -\`\`\`json -“page” -“language” -“user” -“unpatrolled” -“newPage” -“robot” -“anonymous” -“namespace” -“continent” -“country” -“region” -“city” -\`\`\` + +```json +"page" +"language" +"user" +"unpatrolled" +"newPage" +"robot" +"anonymous" +"namespace" +"continent" +"country" +"region" +"city" +``` Metrics (things to aggregate over): -\`\`\`json -“count” -“added” -“delta” -“deleted” -\`\`\` + +```json +"count" +"added" +"delta" +"deleted" +``` These metrics track the number of characters added, deleted, and changed. @@ -50,115 +52,115 @@ Download this file to a directory of your choosing. You can extract the awesomeness within by issuing: - tar -zxvf druid-services-*-bin.tar.gz +``` +tar -zxvf druid-services-*-bin.tar.gz +``` Not too lost so far right? That’s great! If you cd into the directory: - cd druid-services-0.5.54 +``` +cd druid-services-0.5.54 +``` You should see a bunch of files: -\* run\_example\_server.sh -\* run\_example\_client.sh -\* LICENSE, config, examples, lib directories + +* run_example_server.sh +* run_example_client.sh +* LICENSE, config, examples, lib directories Running Example Scripts ----------------------- Let’s start doing stuff. You can start a Druid [Realtime](Realtime.html) node by issuing: - ./run_example_server.sh +``` +./run_example_server.sh +``` -Select “wikipedia”. +Select "wikipedia". Once the node starts up you will see a bunch of logs about setting up properties and connecting to the data source. If everything was successful, you should see messages of the form shown below. - - 2013-07-19 21:54:05,154 INFO [main] com.metamx.druid.realtime.RealtimeNode - Starting Jetty - 2013-07-19 21:54:05,154 INFO [main] org.mortbay.log - jetty-6.1.x - 2013-07-19 21:54:05,171 INFO [chief-wikipedia] com.metamx.druid.realtime.plumber.RealtimePlumberSchool - Expect to run at [2013-07-19T22:03:00.000Z] - 2013-07-19 21:54:05,246 INFO [main] org.mortbay.log - Started SelectChannelConnector@0.0.0.0:8083 - +``` +2013-07-19 21:54:05,154 INFO [main] com.metamx.druid.realtime.RealtimeNode - Starting Jetty +2013-07-19 21:54:05,154 INFO [main] org.mortbay.log - jetty-6.1.x +2013-07-19 21:54:05,171 INFO [chief-wikipedia] com.metamx.druid.realtime.plumber.RealtimePlumberSchool - Expect to run at [2013-07-19T22:03:00.000Z] +2013-07-19 21:54:05,246 INFO [main] org.mortbay.log - Started SelectChannelConnector@0.0.0.0:8083 +``` The Druid real time-node ingests events in an in-memory buffer. Periodically, these events will be persisted to disk. If you are interested in the details of our real-time architecture and why we persist indexes to disk, I suggest you read our [White Paper](http://static.druid.io/docs/druid.pdf). -Okay, things are about to get real(~~time). To query the real-time node you’ve spun up, you can issue: -\./run\_example\_client.sh\ -Select “wikipedia” once again. This script issues ]s to the data we’ve been ingesting. The query looks like this: -\`\`\`json +Okay, things are about to get real-time. To query the real-time node you’ve spun up, you can issue: + +``` +./run_example_client.sh +``` + +Select "wikipedia" once again. This script issues [GroupByQuery](GroupByQuery.html)s to the data we’ve been ingesting. The query looks like this: + +```json { - [queryType]("groupBy"), - [dataSource]("wikipedia"), - [granularity]("minute"), - [dimensions]([) - “page” - ], - [aggregations]([) - { - [type]("count"), - [name]("rows") - }, - { - [type]("longSum"), - [fieldName]("edit_count"), - [name]("count") - } - ], - [filter]({) - [type]("selector"), - [dimension]("namespace"), - [value]("article") - }, - [intervals]([) - “2013-06-01T00:00/2020-01-01T00” - ] + "queryType":"groupBy", + "dataSource":"wikipedia", + "granularity":"minute", + "dimensions":[ "page" ], + "aggregations":[ + {"type":"count", "name":"rows"}, + {"type":"longSum", "fieldName":"edit_count", "name":"count"} + ], + "filter":{ "type":"selector", "dimension":"namespace", "value":"article" }, + "intervals":[ "2013-06-01T00:00/2020-01-01T00" ] } -\`\`\` -This is a **groupBy** query, which you may be familiar with from SQL. We are grouping, or aggregating, via the **dimensions** field: . We are **filtering** via the **“namespace”** dimension, to only look at edits on **“articles”**. Our **aggregations** are what we are calculating: a count of the number of data rows, and a count of the number of edits that have occurred. +``` + +This is a **groupBy** query, which you may be familiar with from SQL. We are grouping, or aggregating, via the `dimensions` field: `["page"]`. We are **filtering** via the `namespace` dimension, to only look at edits on `articles`. Our **aggregations** are what we are calculating: a count of the number of data rows, and a count of the number of edits that have occurred. + The result looks something like this: -\`\`\`json + +```json [ - { - [version]() “v1”, - [timestamp]() “2013-09-04T21:44:00.000Z”, - [event]() { - [count]() 0, - [page]() “2013\\u201314\_Brentford\_F.C.*season", - [rows]() 1 - } - }, - { - [version]() "v1", - [timestamp]() "2013-09-04T21:44:00.000Z", - [event]() { - [count]() 0, - [page]() "8e*00e9tape\_du\_Tour\_de\_France\_2013”, - [rows]() 1 - } - }, - { - [version]() “v1”, - [timestamp]() “2013-09-04T21:44:00.000Z”, - [event]() { - [count]() 0, - [page]() “Agenda\_of\_the\_Tea\_Party\_movement”, - [rows]() 1 - } - }, -… -\`\`\` + { + "version": "v1", + "timestamp": "2013-09-04T21:44:00.000Z", + "event": { "count": 0, "page": "2013\u201314_Brentford_F.C._season", "rows": 1 } + }, + { + "version": "v1", + "timestamp": "2013-09-04T21:44:00.000Z", + "event": { "count": 0, "page": "8e_\u00e9tape_du_Tour_de_France_2013", "rows": 1 } + }, + { + "version": "v1", + "timestamp": "2013-09-04T21:44:00.000Z", + "event": { "count": 0, "page": "Agenda_of_the_Tea_Party_movement", "rows": 1 } + }, +... +``` + This groupBy query is a bit complicated and we’ll return to it later. For the time being, just make sure you are getting some blocks of data back. If you are having problems, make sure you have [curl](http://curl.haxx.se/) installed. Control+C to break out of the client script. + h2. Querying Druid + In your favorite editor, create the file: -\time\_boundary\_query.body\ + +``` +time_boundary_query.body +``` + Druid queries are JSON blobs which are relatively painless to create programmatically, but an absolute pain to write by hand. So anyway, we are going to create a Druid query by hand. Add the following to the file you just created: -\ + +``` { - [queryType]() “timeBoundary”, - [dataSource]() “wikipedia” + "queryType": "timeBoundary", + "dataSource": "wikipedia" } -\ -The ] is one of the simplest Druid queries. To run the query, you can issue: -\ curl~~X POST ‘http://localhost:8083/druid/v2/?pretty’ ~~H ‘content-type: application/json’~~d ```` time_boundary_query.body +``` + +The [TimeBoundaryQuery](TimeBoundaryQuery.html) is one of the simplest Druid queries. To run the query, you can issue: + +``` +curl -X POST ‘http://localhost:8083/druid/v2/?pretty’ -H 'content-type: application/json' -d @time_boundary_query.body +``` We get something like this JSON back: @@ -171,186 +173,146 @@ We get something like this JSON back: } } ] ``` + As you can probably tell, the result is indicating the maximum and minimum timestamps we've seen thus far (summarized to a minutely granularity). Let's explore a bit further. Return to your favorite editor and create the file: -
timeseries_query.body
+ +``` +timeseries_query.body +``` We are going to make a slightly more complicated query, the [TimeseriesQuery](TimeseriesQuery.html). Copy and paste the following into the file: -

+
+```
 {
     "queryType": "timeseries", 
     "dataSource": "wikipedia", 
-    "intervals": [
-        "2010-01-01/2020-01-01"
-    ], 
+    "intervals": [ "2010-01-01/2020-01-01" ], 
     "granularity": "all", 
     "aggregations": [
-        {
-            "type": "longSum", 
-            "fieldName": "count",
-            "name": "edit_count"
-        }, 
-        {
-            "type": "doubleSum", 
-            "fieldName": "added", 
-            "name": "chars_added"
-        }
+        {"type": "longSum", "fieldName": "count", "name": "edit_count"}, 
+        {"type": "doubleSum", "fieldName": "added", "name": "chars_added"}
     ]
 }
-
+``` You are probably wondering, what are these [Granularities](Granularities.html) and [Aggregations](Aggregations.html) things? What the query is doing is aggregating some metrics over some span of time. To issue the query and get some results, run the following in your command line: -
curl -X POST 'http://localhost:8083/druid/v2/?pretty' -H 'content-type: application/json'  -d  ````timeseries\_query.body
 
-
+``` +curl -X POST 'http://localhost:8083/druid/v2/?pretty' -H 'content-type: application/json' -d ````timeseries_query.body +``` + Once again, you should get a JSON blob of text back with your results, that looks something like this: -\`\`\`json +```json [ { - “timestamp” : “2013-09-04T21:44:00.000Z”, - “result” : { - “chars\_added” : 312670.0, - “edit\_count” : 733 - } + "timestamp" : "2013-09-04T21:44:00.000Z", + "result" : { "chars_added" : 312670.0, "edit_count" : 733 } } ] -\`\`\` +``` If you issue the query again, you should notice your results updating. Right now all the results you are getting back are being aggregated into a single timestamp bucket. What if we wanted to see our aggregations on a per minute basis? What field can we change in the query to accomplish this? -If you loudly exclaimed “we can change granularity to minute”, you are absolutely correct! We can specify different granularities to bucket our results, like so: +If you loudly exclaimed "we can change granularity to minute", you are absolutely correct! We can specify different granularities to bucket our results, like so: - - { - "queryType": "timeseries", - "dataSource": "wikipedia", - "intervals": [ - "2010-01-01/2020-01-01" - ], - "granularity": "minute", - "aggregations": [ - { - "type": "longSum", - "fieldName": "count", - "name": "edit_count" - }, - { - "type": "doubleSum", - "fieldName": "added", - "name": "chars_added" - } - ] - } - +``` +{ + "queryType": "timeseries", + "dataSource": "wikipedia", + "intervals": [ "2010-01-01/2020-01-01" ], + "granularity": "minute", + "aggregations": [ + {"type": "longSum", "fieldName": "count", "name": "edit_count"}, + {"type": "doubleSum", "fieldName": "added", "name": "chars_added"} + ] +} +``` This gives us something like the following: -\`\`\`json +```json [ { - “timestamp” : “2013-09-04T21:44:00.000Z”, - “result” : { - “chars\_added” : 30665.0, - “edit\_count” : 128 - } - }, { - “timestamp” : “2013-09-04T21:45:00.000Z”, - “result” : { - “chars\_added” : 122637.0, - “edit\_count” : 167 - } - }, { - “timestamp” : “2013-09-04T21:46:00.000Z”, - “result” : { - “chars\_added” : 78938.0, - “edit\_count” : 159 - } + "timestamp" : "2013-09-04T21:44:00.000Z", + "result" : { "chars_added" : 30665.0, "edit_count" : 128 } + }, + { + "timestamp" : "2013-09-04T21:45:00.000Z", + "result" : { "chars_added" : 122637.0, "edit_count" : 167 } + }, + { + "timestamp" : "2013-09-04T21:46:00.000Z", + "result" : { "chars_added" : 78938.0, "edit_count" : 159 } }, -… -\`\`\` +... +] +``` Solving a Problem ----------------- -One of Druid’s main powers is to provide answers to problems, so let’s pose a problem. What if we wanted to know what the top pages in the US are, ordered by the number of edits over the last few minutes you’ve been going through this tutorial? To solve this problem, we have to return to the query we introduced at the very beginning of this tutorial, the [GroupByQuery](GroupByQuery.html). It would be nice if we could group by results by dimension value and somehow sort those results… and it turns out we can! +One of Druid’s main powers is to provide answers to problems, so let’s pose a problem. What if we wanted to know what the top pages in the US are, ordered by the number of edits over the last few minutes you’ve been going through this tutorial? To solve this problem, we have to return to the query we introduced at the very beginning of this tutorial, the [GroupByQuery](GroupByQuery.html). It would be nice if we could group by results by dimension value and somehow sort those results... and it turns out we can! Let’s create the file: - group_by_query.body - and put the following in there: - 

-    {
-        "queryType": "groupBy", 
-        "dataSource": "wikipedia", 
-        "granularity": "all", 
-        "dimensions": [
-            "page"
-        ], 
-        "orderBy": {
-            "type": "doc_page", 
-            "columns": [
-                {
-                    "dimension": "edit_count", 
-                    "direction": "DESCENDING"
-                }
-            ], 
-            "limit": 10
-        }, 
-        "aggregations": [
-            {
-                "type": "longSum", 
-                "fieldName": "count", 
-                "name": "edit_count"
-            }
-        ], 
-        "filter": {
-            "type": "selector", 
-            "dimension": "country", 
-            "value": "United States"
-        }, 
-        "intervals": [
-            "2012-10-01T00:00/2020-01-01T00"
-        ]
-    }
-    
+```
+group_by_query.body
+```
+
+and put the following in there:
+
+```
+{
+  "queryType": "groupBy", 
+  "dataSource": "wikipedia", 
+  "granularity": "all", 
+  "dimensions": [ "page" ], 
+  "orderBy": {
+     "type": "doc_page", 
+     "columns": [ { "dimension": "edit_count", "direction": "DESCENDING" } ], 
+     "limit": 10
+  }, 
+  "aggregations": [
+    {"type": "longSum", "fieldName": "count", "name": "edit_count"}
+  ], 
+  "filter": { "type": "selector", "dimension": "country", "value": "United States" }, 
+  "intervals": ["2012-10-01T00:00/2020-01-01T00"]
+}
+```
 
 Woah! Our query just got a way more complicated. Now we have these [Filters](Filters.html) things and this [OrderBy](OrderBy.html) thing. Fear not, it turns out the new objects we’ve introduced to our query can help define the format of our results and provide an answer to our question.
 
 If you issue the query:
 
-    curl -X POST 'http://localhost:8083/druid/v2/?pretty' -H 'content-type: application/json'  -d @group_by_query.body
+```
+curl -X POST 'http://localhost:8083/druid/v2/?pretty' -H 'content-type: application/json'  -d @group_by_query.body
+```
 
 You should see an answer to our question. As an example, some results are shown below:
 
-\`\`\`json
+```json
 [
  {
- “version” : “v1”,
- “timestamp” : “2012-10-01T00:00:00.000Z”,
- “event” : {
- “page” : “RTC\_Transit”,
- “edit\_count” : 6
- }
- }, {
- “version” : “v1”,
- “timestamp” : “2012-10-01T00:00:00.000Z”,
- “event” : {
- “page” : “List\_of\_Deadly\_Women\_episodes”,
- “edit\_count” : 4
- }
- }, {
- “version” : “v1”,
- “timestamp” : “2012-10-01T00:00:00.000Z”,
- “event” : {
- “page” : “User\_talk:David\_Biddulph”,
- “edit\_count” : 4
- }
+   "version" : "v1",
+   "timestamp" : "2012-10-01T00:00:00.000Z",
+   "event" : { "page" : "RTC_Transit", "edit_count" : 6 }
+ }, 
+ {
+   "version" : "v1",
+   "timestamp" : "2012-10-01T00:00:00.000Z",
+   "event" : { "page" : "List_of_Deadly_Women_episodes", "edit_count" : 4 }
+ }, 
+ {
+   "version" : "v1",
+   "timestamp" : "2012-10-01T00:00:00.000Z",
+   "event" : { "page" : "User_talk:David_Biddulph", "edit_count" : 4 }
  },
-…
-\`\`\`
+...
+```
 
 Feel free to tweak other query parameters to answer other questions you may have about the data.
 
diff --git a/docs/content/Tutorial:-The-Druid-Cluster.md b/docs/content/Tutorial:-The-Druid-Cluster.md
index 81024928667..f5d43936c40 100644
--- a/docs/content/Tutorial:-The-Druid-Cluster.md
+++ b/docs/content/Tutorial:-The-Druid-Cluster.md
@@ -14,6 +14,7 @@ If you followed the first tutorial, you should already have Druid downloaded. If
 You can download the latest version of druid [here](http://static.druid.io/artifacts/releases/druid-services-0.5.54-bin.tar.gz)
 
 and untar the contents within by issuing:
+
 ```bash
 tar -zxvf druid-services-*-bin.tar.gz
 cd druid-services-*
@@ -32,15 +33,18 @@ For deep storage, we have made a public S3 bucket (static.druid.io) available wh
 1. If you don't already have it, download MySQL Community Server here: [http://dev.mysql.com/downloads/mysql/](http://dev.mysql.com/downloads/mysql/)
 2. Install MySQL
 3. Create a druid user and database
+
 ```bash
 mysql -u root
 ```
+
 ```sql
 GRANT ALL ON druid.* TO 'druid'@'localhost' IDENTIFIED BY 'diurd';
 CREATE database druid;
 ```
 
 ### Setting up Zookeeper ###
+
 ```bash
 curl http://www.motorlogy.com/apache/zookeeper/zookeeper-3.4.5/zookeeper-3.4.5.tar.gz -o zookeeper-3.4.5.tar.gz
 tar xzf zookeeper-3.4.5.tar.gz
@@ -55,6 +59,7 @@ cd ..
 Similar to the first tutorial, the data we will be loading is based on edits that have occurred on Wikipedia. Every time someone edits a page in Wikipedia, metadata is generated about the editor and edited page. Druid collects each individual event and packages them together in a container known as a [segment](https://github.com/metamx/druid/wiki/Segments). Segments contain data over some span of time. We've prebuilt a segment for this tutorial and will cover making your own segments in other [pages](https://github.com/metamx/druid/wiki/Loading-Your-Data).The segment we are going to work with has the following format:
 
 Dimensions (things to filter on):
+
 ```json
 "page"
 "language"
@@ -71,6 +76,7 @@ Dimensions (things to filter on):
 ```
 
 Metrics (things to aggregate over):
+
 ```json
 "count"
 "added"
@@ -98,7 +104,7 @@ To create the master config file:
 mkdir config/master
 ```
 
-Under the directory we just created, create the file ```runtime.properties``` with the following contents:
+Under the directory we just created, create the file `runtime.properties` with the following contents:
 
 ```
 druid.host=127.0.0.1:8082
@@ -146,7 +152,8 @@ To create the compute config file:
 mkdir config/compute
 ```
 
-Under the directory we just created, create the file ```runtime.properties``` with the following contents:
+Under the directory we just created, create the file `runtime.properties` with the following contents:
+
 ```
 druid.host=127.0.0.1:8081
 druid.port=8081
@@ -219,67 +226,17 @@ To start the broker node:
 ```bash
 java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 -classpath lib/*:config/broker com.metamx.druid.http.BrokerMain
 ```
-
 ## Loading the Data ##
 
 The MySQL dependency we introduced earlier on contains a 'segments' table that contains entries for segments that should be loaded into our cluster. The Druid master compares this table with segments that already exist in the cluster to determine what should be loaded and dropped. To load our wikipedia segment, we need to create an entry in our MySQL segment table.
 
 Usually, when new segments are created, these MySQL entries are created directly so you never have to do this by hand. For this tutorial, we can do this manually by going back into MySQL and issuing:
 
-```
+``` sql
 use druid;
-```
-
-``
 INSERT INTO segments (id, dataSource, created_date, start, end, partitioned, version, used, payload) VALUES ('wikipedia_2013-08-01T00:00:00.000Z_2013-08-02T00:00:00.000Z_2013-08-08T21:22:48.989Z', 'wikipedia', '2013-08-08T21:26:23.799Z', '2013-08-01T00:00:00.000Z', '2013-08-02T00:00:00.000Z', '0', '2013-08-08T21:22:48.989Z', '1', '{\"dataSource\":\"wikipedia\",\"interval\":\"2013-08-01T00:00:00.000Z/2013-08-02T00:00:00.000Z\",\"version\":\"2013-08-08T21:22:48.989Z\",\"loadSpec\":{\"type\":\"s3_zip\",\"bucket\":\"static.druid.io\",\"key\":\"data/segments/wikipedia/20130801T000000.000Z_20130802T000000.000Z/2013-08-08T21_22_48.989Z/0/index.zip\"},\"dimensions\":\"dma_code,continent_code,geo,area_code,robot,country_name,network,city,namespace,anonymous,unpatrolled,page,postal_code,language,newpage,user,region_lookup\",\"metrics\":\"count,delta,variation,added,deleted\",\"shardSpec\":{\"type\":\"none\"},\"binaryVersion\":9,\"size\":24664730,\"identifier\":\"wikipedia_2013-08-01T00:00:00.000Z_2013-08-02T00:00:00.000Z_2013-08-08T21:22:48.989Z\"}');
-``
+```
 
 If you look in your master node logs, you should, after a maximum of a minute or so, see logs of the following form:
 
@@ -294,7 +251,7 @@ When the segment completes downloading and ready for queries, you should see the
 2013-08-08 22:48:41,959 INFO [ZkCoordinator-0] com.metamx.druid.coordination.BatchDataSegmentAnnouncer - Announcing segment[wikipedia_2013-08-01T00:00:00.000Z_2013-08-02T00:00:00.000Z_2013-08-08T21:22:48.989Z] at path[/druid/segments/127.0.0.1:8081/2013-08-08T22:48:41.959Z]
 ```
 
-At this point, we can query the segment. For more information on querying, see this[link](https://github.com/metamx/druid/wiki/Querying).
+At this point, we can query the segment. For more information on querying, see this [link](https://github.com/metamx/druid/wiki/Querying).
 
 ## Next Steps ##
 
diff --git a/docs/content/css/docs.css b/docs/content/css/docs.css
index 87b1b5a651c..ed1243d2dc3 100644
--- a/docs/content/css/docs.css
+++ b/docs/content/css/docs.css
@@ -12,3 +12,40 @@
 .doc-content img {
    max-width: 847.5px;
 }
+
+.doc-content code {
+   background-color: #e0e0e0;
+}
+
+.doc-content pre code {
+   background-color: transparent;
+}
+
+.doc-content table,
+.doc-content table > thead > tr > th,
+.doc-content table > tbody > tr > th,
+.doc-content table > tfoot > tr > th,
+.doc-content table > thead > tr > td,
+.doc-content table > tbody > tr > td,
+.doc-content table > tfoot > tr > td {
+   border: 1px solid #dddddd;
+}
+
+.doc-content table > thead > tr > th,
+.doc-content table > thead > tr > td {
+   border-bottom-width: 2px;
+}
+
+.doc-content table > tbody > tr:nth-child(odd) > td,
+.doc-content table > tbody > tr:nth-child(odd) > th {
+   background-color: #f9f9f9;
+}
+
+.doc-content table > tbody > tr:hover > td,
+.doc-content table > tbody > tr:hover > th {
+   background-color: #d5d5d5;
+}
+
+.doc-content table code {
+   background-color: transparent;
+}
\ No newline at end of file
diff --git a/docs/content/toc.textile b/docs/content/toc.textile
index 60bf35ee924..e4ed908a559 100644
--- a/docs/content/toc.textile
+++ b/docs/content/toc.textile
@@ -12,11 +12,10 @@ h1. Contents
 h2. Getting Started
 * "Tutorial: A First Look at Druid":./Tutorial:-A-First-Look-at-Druid.html
 * "Tutorial: The Druid Cluster":./Tutorial:-The-Druid-Cluster.html
-* "Loading Your Data":./Tutorial:-Webstream.html
+* "Loading Your Data":./Loading-Your-Data.html
 * "Querying Your Data":./Querying-your-data.html
 * "Booting a Production Cluster":./Booting-a-production-cluster.html
 * "Examples":./Examples.html
-* "Cluster Setup":Cluster-setup.html
 * "Configuration":Configuration.html
 
 h2. Data Ingestion
diff --git a/docs/css/footer.css b/docs/css/footer.css
deleted file mode 100644
index df084947efa..00000000000
--- a/docs/css/footer.css
+++ /dev/null
@@ -1,38 +0,0 @@
-footer {
-   font-size: 14px;
-   color: #000000;
-   font-weight: 300;
-}
-
-footer strong {
-   display: block;
-   font-weight: 400;
-}
-
-footer a {
-   color: #000000;
-}
-
-footer address {
-   margin: 0 0 30px 30px;
-}
-
-footer .soc {
-	text-align:left;
-	margin:5px 0 0 0;
-}
-footer .soc a {
-	display:inline-block;
-	width:35px;
-	height:34px;
-	background:url(../img/icons-soc.png) no-repeat;
-}
-footer .soc a.github {
-	background-position:0 -34px;
-}
-footer .soc a.meet {
-	background-position:0 -68px;
-}
-footer .soc a.rss {
-        background-position:0 -102px;
-}
diff --git a/docs/css/header.css b/docs/css/header.css
deleted file mode 100644
index a41a1ac4f17..00000000000
--- a/docs/css/header.css
+++ /dev/null
@@ -1,21 +0,0 @@
-.navbar {
-   max-width: 1170px;
-   margin: 10px auto 25px;
-   background-color: #eeeeee;
-   border-bottom-width: 0;
-   font-size: 18px;
-   line-height: 20px;
-   font-weight: 300;
-}
-
-.container.druid-navbar {
-   background-color: #171717;
-  -webkit-border-radius: 4px;
-     -moz-border-radius: 4px;
-          border-radius: 4px;
-  -webkit-box-shadow: 0 1px 4px rgba(0, 0, 0, 0.065);
-     -moz-box-shadow: 0 1px 4px rgba(0, 0, 0, 0.065);
-          box-shadow: 0 1px 4px rgba(0, 0, 0, 0.065);
-
-}
-
diff --git a/docs/css/main.css b/docs/css/main.css
deleted file mode 100644
index 3e6f29426d6..00000000000
--- a/docs/css/main.css
+++ /dev/null
@@ -1,57 +0,0 @@
-@font-face {
-    font-family: 'Conv_framd';
-    src: url('../fonts/framd.eot');
-    src: url('../fonts/framd.eot?#iefix') format('embedded-opentype'),
-         url('../fonts/framd.woff') format('woff'),
-         url('../fonts/framd.ttf') format('truetype'),
-         url('../fonts/framd.svg#heroregular') format('svg');
-    font-weight: normal;
-    font-style: normal;
-}
-
-html, body {
-	position:relative;
-	height:100%;
-	min-height:100%;
-	height:100%;	
-	color:#252525;
-	font:400 18px/26px 'Open Sans', Arial, Helvetica, sans-serif;
-	margin:0;
-	word-wrap:break-word;
-}
-
-h1, h2, h3, h4, h5, h6, .h1, .h2, .h3, .h4, .h5, .h6 {
-  font-family: 'Open Sans', Arial, Helvetica, sans-serif;
-  font-weight: 300;
-}
-
-h3, .h3 {
-   font-size: 30px;
-   font-weight: 300;
-}
-
-.text-indent {
-   padding-left: 50px;
-}
-
-.text-indent-2 {
-   padding-left: 100px;
-}
-
-.text-indent-p p {
-   padding-left: 50px;
-}
-
-code {
-   color: inherit;
-   background-color: transparent;
-}
-
-.page-header {
-   margin-bottom: 40px;
-   text-align: center;
-}
-
-.easter-egg {
-   color: transparent;
-}
\ No newline at end of file

From 65bb68c7de8477a7918a42b63b0e9696b7853fc8 Mon Sep 17 00:00:00 2001
From: cheddar 
Date: Fri, 27 Sep 2013 19:08:34 -0500
Subject: [PATCH 5/5] Finish converting docs over to something that displays
 properly

---
 docs/_includes/page_footer.html               |  51 ++
 docs/_layouts/doc_page.html                   |   1 +
 docs/content/Aggregations.md                  |  89 ++--
 docs/content/Batch-ingestion.md               | 102 ++--
 docs/content/Build-from-source.md             |   1 +
 docs/content/Concepts-and-Terminology.md      |  17 +-
 docs/content/Configuration.md                 |  14 +-
 docs/content/Deep-Storage.md                  |  24 +-
 docs/content/Design.md                        |  32 +-
 docs/content/Druid-Personal-Demo-Cluster.md   |   2 +-
 docs/content/Druid-vs-Hadoop.md               |   2 +-
 docs/content/Druid-vs-redshift.md             |   2 +-
 docs/content/Druid-vs-vertica.md              |   2 +-
 docs/content/Examples.md                      |   2 +-
 docs/content/Filters.md                       |  68 ++-
 docs/content/Firehose.md                      |   2 +-
 docs/content/Granularities.md                 |  29 +-
 docs/content/GroupByQuery.md                  | 170 +++---
 docs/content/Having.md                        |  72 +--
 docs/content/Indexing-Service.md              | 139 ++---
 docs/content/Libraries.md                     |  18 +-
 docs/content/Master.md                        |  74 ++-
 docs/content/MySQL.md                         |  32 +-
 docs/content/OrderBy.md                       |  30 +-
 docs/content/Plumber.md                       |   6 +-
 docs/content/Post-aggregations.md             | 108 ++--
 docs/content/Querying.md                      | 148 +++---
 docs/content/Realtime.md                      | 115 +++--
 docs/content/Rule-Configuration.md            |  72 +--
 docs/content/SearchQuery.md                   |   4 +-
 docs/content/SearchQuerySpec.md               |  28 +-
 docs/content/SegmentMetadataQuery.md          |  69 +--
 docs/content/Segments.md                      |  26 +-
 docs/content/Tasks.md                         |   2 +-
 docs/content/Thanks.md                        |   1 +
 docs/content/TimeBoundaryQuery.md             |  30 +-
 docs/content/TimeseriesQuery.md               | 134 ++---
 .../Tutorial:-A-First-Look-at-Druid.md        |  24 +-
 docs/content/Tutorial:-The-Druid-Cluster.md   |   2 +-
 docs/content/Tutorial:-Webstream.md           | 488 ++++++++----------
 docs/content/TwitTwit.md                      | 333 ------------
 docs/content/Versioning.md                    |  10 +-
 docs/content/ZooKeeper.md                     |  56 +-
 docs/content/css/docs.css                     |   7 +-
 44 files changed, 1143 insertions(+), 1495 deletions(-)
 create mode 100644 docs/_includes/page_footer.html
 delete mode 100644 docs/content/TwitTwit.md

diff --git a/docs/_includes/page_footer.html b/docs/_includes/page_footer.html
new file mode 100644
index 00000000000..e8fe3e85aa6
--- /dev/null
+++ b/docs/_includes/page_footer.html
@@ -0,0 +1,51 @@
+
+
+

+  
+

+
+
+
diff --git a/docs/_layouts/doc_page.html b/docs/_layouts/doc_page.html
index 5da6dd5bbc5..325a25ca8a3 100644
--- a/docs/_layouts/doc_page.html
+++ b/docs/_layouts/doc_page.html
@@ -23,6 +23,7 @@
       
     
     
+    {% include page_footer.html %}