From 705a7b3f2353cfd7ba6cf8813506479b2620524d Mon Sep 17 00:00:00 2001 From: Igal Levy Date: Tue, 10 Mar 2015 13:44:36 -0700 Subject: [PATCH] updates Realtime node's dataflow connection, s/historical/deep storage; a bit more information on how Realtime nodes drop segments based on said segments' uptake by Historicals --- docs/content/Design.md | 4 ++-- docs/img/druid-dataflow-3.png | Bin 93615 -> 90365 bytes docs/img/druid-manage-1.png | Bin 116413 -> 111559 bytes 3 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/content/Design.md b/docs/content/Design.md index abacd8af362..1048bb44891 100644 --- a/docs/content/Design.md +++ b/docs/content/Design.md @@ -30,7 +30,7 @@ Each of the systems, or components, described below also has a dedicated page wi The node types that currently exist are: * [**Historical**](Historical.html) nodes are the workhorses that handle storage and querying on "historical" data (non-realtime). Historical nodes download segments from deep storage, respond to the queries from broker nodes about these segments, and return results to the broker nodes. They announce themselves and the segments they are serving in Zookeeper, and also use Zookeeper to monitor for signals to load or drop new segments. -* [**Realtime**](Realtime.html) nodes ingest data in real time. They are in charge of listening to a stream of incoming data and making it available immediately inside the Druid system. Real-time nodes respond to query requests from Broker nodes, returning query results to those nodes. Aged data is pushed from Realtime nodes to Historical nodes. +* [**Realtime**](Realtime.html) nodes ingest data in real time. They are in charge of listening to a stream of incoming data and making it available immediately inside the Druid system. Real-time nodes respond to query requests from Broker nodes, returning query results to those nodes. Aged data is pushed from Realtime nodes to deep storage. Realtime nodes monitor ZooKeeper to discover segments that they've pushed to deep storage have been loaded by Historicals—if so, they drop those segments. * [**Coordinator**](Coordinator.html) nodes monitor the grouping of historical nodes to ensure that data is available, replicated and in a generally "optimal" configuration. They do this by reading segment metadata information from metadata storage to determine what segments should be loaded in the cluster, using Zookeeper to determine what Historical nodes exist, and creating Zookeeper entries to tell Historical nodes to load and drop new segments. * [**Broker**](Broker.html) nodes receive queries from external clients and forward those queries to Realtime and Historical nodes. When Broker nodes receive results, they merge these results and return them to the caller. For knowing topology, Broker nodes use Zookeeper to determine what Realtime and Historical nodes exist. * [**Indexer**](Indexing-Service.html) nodes form a cluster of workers to load batch and real-time data into the system as well as allow for alterations to the data stored in the system (also known as the Indexing Service). @@ -77,7 +77,7 @@ In order for a segment to exist inside of the cluster, an entry has to be added - **Historical** As discussed above, if a historical node dies, another historical node can take its place and there is no fear of data loss. - **Coordinator** Can be run in a hot fail-over configuration. If no coordinators are running, then changes to the data topology will stop happening (no new data and no data balancing decisions), but the system will continue to run. - **Broker** Can be run in parallel or in hot fail-over. -- **Realtime** Depending on the semantics of the delivery stream, multiple of these can be run in parallel processing the exact same stream. They periodically checkpoint to disk and eventually push out to the Historical nodes. Steps are taken to be able to recover from process death, but loss of access to the local disk can result in data loss if this is the only method of adding data to the system. +- **Realtime** Depending on the semantics of the delivery stream, multiple of these can be run in parallel processing the exact same stream. They periodically checkpoint to disk and eventually push out to deep storage. Steps are taken to be able to recover from process death, but loss of access to the local disk can result in data loss if this is the only method of adding data to the system. - **"deep storage" file system** If this is not available, new data will not be able to enter the cluster, but the cluster will continue operating as is. - **metadata storage** If this is not available, the Coordinator will be unable to find out about new segments in the system, but it will continue with its current view of the segments that should exist in the cluster. - **ZooKeeper** If this is not available, data topology changes cannot be made, but the Brokers will maintain their most recent view of the data topology and continue serving requests accordingly. diff --git a/docs/img/druid-dataflow-3.png b/docs/img/druid-dataflow-3.png index 1bee0a033d08e7a18a3a817914e162e4bfef2f8e..2632dc318cb652ab6740f326dd002ee9831539eb 100644 GIT binary patch literal 90365 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