* Service stdout log files, move logs to log/.
Two changes that make log behavior cleaner:
1) Redirect messages from the Java runtime to their own log files.
Otherwise, they would get jumbled up in the output of the all-in-one
start command.
2) Use log/ instead of bin/log/ for the default log directory. Makes them
easier to find.
Additionally, add documentation about how to avoid the reflective
access warnings in Java 11.
* Spelling.
* See if code formatting affects spelling.
* Small addition to Multitenancy considerations doc
* Update docs/querying/multitenancy.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update multitenancy.md
Edit suggested by @kfaraz
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Adding zstandard compression library
* 1. Took @clintropolis's advice to have ZStandard decompressor use the byte array when the buffers are not direct.
2. Cleaned up checkstyle issues.
* Fixing zstandard version to latest stable version in pom's and updating license files
* Removing zstd from benchmarks and adding to processing (poms)
* fix the intellij inspection issue
* Removing the prefix v for the version in the license check for ztsd
* Fixing license checks
Co-authored-by: Rahul Gidwani <r_gidwani@apple.com>
* Emit state of replace and append for native batch tasks
* Emit count of one depending on batch ingestion mode (APPEND, OVERWRITE, REPLACE)
* Add metric to compaction job
* Avoid null ptr exc when null emitter
* Coverage
* Emit tombstone & segment counts
* Tasks need a type
* Spelling
* Integrate BatchIngestionMode in batch ingestion tasks functionality
* Typos
* Remove batch ingestion type from metric since it is already in a dimension. Move IngestionMode to AbstractTask to facilitate having mode as a dimension. Add metrics to streaming. Add missing coverage.
* Avoid inner class referenced by sub-class inspection. Refactor computation of IngestionMode to make it more robust to null IOConfig and fix test.
* Spelling
* Avoid polluting the Task interface
* Rename computeCompaction methods to avoid ambiguous java compiler error if they are passed null. Other minor cleanup.
* ConcurrentGrouper: Add option to always slice up merge buffers thread-locally.
Normally, the ConcurrentGrouper shares merge buffers across processing
threads until spilling starts, and then switches to a thread-local model.
This minimizes memory use and reduces likelihood of spilling, which is
good, but it creates thread contention. The new mergeThreadLocal option
causes a query to start in thread-local mode immediately, and allows us
to experiment with the relative performance of the two modes.
* Fix grammar in docs.
* Fix race in ConcurrentGrouper.
* Fix issue with timeouts.
* Remove unused import.
* Add "tradeoff" to dictionary.
* SQL: Add is_active to sys.segments, update examples and docs.
is_active is short for:
(is_published = 1 AND is_overshadowed = 0) OR is_realtime = 1
It's important because this represents "all the segments that should
be queryable, whether or not they actually are right now". Most of the
time, this is the set of segments that people will want to look at.
The web console already adds this filter to a lot of its queries,
proving its usefulness.
This patch also reworks the caveat at the bottom of the sys.segments
section, so its information is mixed into the description of each result
field. This should make it more likely for people to see the information.
* Wording updates.
* Adjustments for spellcheck.
* Adjust IT.
* Improved docs for range partitioning.
1) Clarify the benefits of range partitioning.
2) Clarify which filters support pruning.
3) Include the fact that multi-value dimensions cannot be used for partitioning.
* Additional clarification.
* Update other section.
* Another adjustment.
* Updates from review.
* docs(fix): clarify how worker.version and minWorkerVersion comparison works
* Revert "docs(fix): clarify how worker.version and minWorkerVersion comparison works"
This reverts commit cadd1fdc60.
* docs(fix): clarify how worker.version and minWorkerVersion comparison works
* Apply suggestions from code review
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/configuration/index.md
fix spelling
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
In the majority of cases, this improves performance.
There's only one case I'm aware of where this may be a net negative: for time_floor(__time, <period>) where there are many repeated __time values. In nonvectorized processing, SingleLongInputCachingExpressionColumnValueSelector implements an optimization to avoid computing the time_floor function on every row. There is no such optimization in vectorized processing.
IMO, we shouldn't mention this in the docs. Rationale: It's too fiddly of a thing: it's not guaranteed that nonvectorized processing will be faster due to the optimization, because it would have to overcome the inherent speed advantage of vectorization. So it'd always require testing to determine the best setting for a specific dataset. It would be bad if users disabled vectorization thinking it would speed up their queries, and it actually slowed them down. And even if users do their own testing, at some point in the future we'll implement the optimization for vectorized processing too, and it's likely that users that explicitly disabled vectorization will continue to have it disabled. I'd like to avoid this outcome by encouraging all users to enable vectorization at all times. Really advanced users would be following development activity anyway, and can read this issue
Currently all Druid processes share the same log4j2 configuration file located in _common directory. Since peon processes are spawned by middle manager process, they derivate the environment variables from the middle manager. These variables include those in the log4j2.xml controlling to which file the logger writes the log.
But current task logging mechanism requires the peon processes to output the log to console so that the middle manager can redirect the console output to a file and upload this file to task log storage.
So, this PR imposes this requirement to peon processes, whatever the configuration is in the shared log4j2.xml, peon processes always write the log to console.
setting thread names takes a measurable amount of time in the case where segment scans are very quick. In high-QPS testing we found a slight performance boost from turning off processing thread renaming. This option makes that possible.
Allow a Druid cluster to kill segments whose interval_end is a date in the future. This can be done by setting druid.coordinator.kill.durationToRetain to a negative period. For example PT-24H would allow segments to be killed if their interval_end date was 24 hours or less into the future at the time that the kill task is generated by the system.
A cluster operator can also disregard the druid.coordinator.kill.durationToRetain entirely by setting a new configuration, druid.coordinator.kill.ignoreDurationToRetain=true. This ignores interval_end date when looking for segments to kill, and instead is capable of killing any segment marked unused. This new configuration is off by default, and a cluster operator should fully understand and accept the risks if they enable it.
* Add feature flag for sql planning of TimeBoundary queries
* fixup! Add feature flag for sql planning of TimeBoundary queries
* Add documentation for enableTimeBoundaryPlanning
* fixup! Add documentation for enableTimeBoundaryPlanning
This PR is to measure how long a task stays in the pending queue and emits the value with the metric task/pending/time. The metric is measured in RemoteTaskRunner and HttpRemoteTaskRunner.
An example of the metric:
```
2022-04-26T21:59:09,488 INFO [rtr-pending-tasks-runner-0] org.apache.druid.java.util.emitter.core.LoggingEmitter - {"feed":"metrics","timestamp":"2022-04-26T21:59:09.487Z","service":"druid/coordinator","host":"localhost:8081","version":"2022.02.0-iap-SNAPSHOT","metric":"task/pending/time","value":8,"dataSource":"wikipedia","taskId":"index_parallel_wikipedia_gecpcglg_2022-04-26T21:59:09.432Z","taskType":"index_parallel"}
```
------------------------------------------
Key changed/added classes in this PR
Emit metric task/pending/time in classes RemoteTaskRunner and HttpRemoteTaskRunner.
Update related factory classes and tests.
* Reduce allocations due to Jackson serialization.
This patch attacks two sources of allocations during Jackson
serialization:
1) ObjectMapper.writeValue and JsonGenerator.writeObject create a new
DefaultSerializerProvider instance for each call. It has lots of
fields and creates pressure on the garbage collector. So, this patch
adds helper functions in JacksonUtils that enable reuse of
SerializerProvider objects and updates various call sites to make
use of this.
2) GroupByQueryToolChest copies the ObjectMapper for every query to
install a special module that supports backwards compatibility with
map-based rows. This isn't needed if resultAsArray is set and
all servers are running Druid 0.16.0 or later. This release was a
while ago. So, this patch disables backwards compatibility by default,
which eliminates the need to copy the heavyweight ObjectMapper. The
patch also introduces a configuration option that allows admins to
explicitly enable backwards compatibility.
* Add test.
* Update additional call sites and add to forbidden APIs.
* Update caching.md
Knowledge from https://the-asf.slack.com/archives/CJ8D1JTB8/p1597781107153900
Update caching.md
A few additional updates OTBO https://the-asf.slack.com/archives/CJ8D1JTB8/p1608669046041300
* Update caching.md
Typos
* Amendments on the segment cache
Significant updates on content around the segment cache, pull process, and in-memory cache
* Update docs/design/historical.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/design/historical.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/design/historical.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/design/historical.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/design/historical.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/design/historical.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/querying/caching.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/querying/caching.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/querying/caching.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/querying/caching.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/design/historical.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/design/historical.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/design/historical.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/operations/basic-cluster-tuning.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/querying/caching.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/querying/caching.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/querying/caching.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/querying/caching.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/querying/caching.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/operations/basic-cluster-tuning.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update basic-cluster-tuning.md
typo
* Update docs/querying/caching.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Whole-query caching update
Made more succinct and removed specific config to change.
* Update docs/design/historical.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update ingestion-spec.md
Added indexSpecForIntermediatePersists as a common configuration property.
* Update ingestion-spec.md
Amended to remove "below" and add link to the table.
* Update ingestion-spec.md
Removed passive.
* Optionally load segment index files into page cache on bootstrap and new segment download
* Fix unit test failure
* Fix test case
* fix spelling
* fix spelling
* fix test and test coverage issues
Co-authored-by: Jian Wang <wjhypo@gmail.com>
* fix(docs): clarify what s3 permissions are needed based on the permissions model
* fix typo
* Update docs/development/extensions-core/s3.md
Co-authored-by: Jihoon Son <jihoonson@apache.org>
Co-authored-by: Jihoon Son <jihoonson@apache.org>
* add data format and example for featureSpec
* add second feature in example
* Apply suggestions from code review
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
amazon-kinesis-client was not covered undered the apache license and required separate insertion in the kinesis extension.
This can now be avoided since it is covered, and including it within druid helps prevent incompatibilities.
Allows enabling of deaggregation out of the box by packaging amazon-kinesis-client (1.14.4) with druid for kinesis ingestion.
The current default value of inputSegmentSizeBytes is 400MB, which is pretty
low for most compaction use cases. Thus most users are forced to override the
default.
The default value is now increased to Long.MAX_VALUE.
listShards API was used to get all the shards for kinesis ingestion to improve its resiliency as part of #12161.
However, this may require additional permissions in the IAM policy where the stream is present. (Please refer to: https://docs.aws.amazon.com/kinesis/latest/APIReference/API_ListShards.html).
A dynamic configuration useListShards has been added to KinesisSupervisorTuningConfig to control the usage of this API and prevent issues upon upgrade. It can be safely turned on (and is recommended when using kinesis ingestion) by setting this configuration to true.
Victoria Lim
Gian Merlino
Jill Osborne
Dr. Sizzles
Agustin Gonzalez
Katya Macedo
Charles Smith
Hellmar Becker
317brian
Frank Chen
Lucas Capistrant
Kashif Faraz
Rohan Garg
Rocky Chen
Gian Merlino
zachjsh
Peter Marshall
Apoorv Gupta
jacobtolar
Alexandre BERTHIOT
Maytas Monsereenusorn
Parag Jain
mark-imply
AmatyaAvadhanula
Tejaswini Bandlamudi