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Expand some threadpool docs (#123244)
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1 changed files with 43 additions and 8 deletions
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@ -25,6 +25,7 @@ import org.elasticsearch.common.util.concurrent.EsRejectedExecutionException;
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import org.elasticsearch.common.util.concurrent.EsRejectedExecutionHandler;
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import org.elasticsearch.common.util.concurrent.EsThreadPoolExecutor;
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import org.elasticsearch.common.util.concurrent.ThreadContext;
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import org.elasticsearch.common.util.concurrent.ThrottledTaskRunner;
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import org.elasticsearch.core.Nullable;
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import org.elasticsearch.core.TimeValue;
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import org.elasticsearch.node.Node;
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@ -70,20 +71,44 @@ public class ThreadPool implements ReportingService<ThreadPoolInfo>, Scheduler,
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private static final Logger logger = LogManager.getLogger(ThreadPool.class);
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/**
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* List of names that identify Java thread pools that are created in {@link ThreadPool#ThreadPool}.
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* List of names that identify Java thread pools that are created in {@link ThreadPool#ThreadPool}. The pools themselves are constructed
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* and configured using {@link DefaultBuiltInExecutorBuilders}.
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*/
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public static class Names {
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/**
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* All the tasks that do not relate to the purpose of one of the other thread pools should use this thread pool. Try to pick one of
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* the other more specific thread pools where possible.
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* A thread pool with a very high (but finite) maximum size. Use only after careful consideration.
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* <p>
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* This pool may be used for one-off CPU-bound activities, but its maximum size is so high that it doesn't really work well to do a
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* lot of CPU-bound work in parallel here: submitting more CPU-bound tasks than we have CPUs to run them will burn a lot of CPU just
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* context-switching in order to try and make fair progress on all the threads at once. Better to submit fewer tasks and wait for
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* them to complete before submitting more, for instance using {@link ThrottledTaskRunner} and friends.
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* <p>
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* Likewise you can do IO on this pool, but using it for lots of concurrent IO is likely harmful in clusters with poor concurrent IO
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* performance (especially if using spinning disks).
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* <p>
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* Blocking on a future on this pool risks deadlock if there's a chance that the completion of the future depends on work being done
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* on this pool. Unfortunately that's pretty likely in most cases because of how often this pool is used; it's really rare to hit
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* such a deadlock because of the high limit on the pool size, but when it happens it is extremely harmful to the node. For more
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* information, see e.g. {@code UnsafePlainActionFuture}.
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* <p>
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* This pool is for instance used for recovery-related work, which is a mix of CPU-bound and IO-bound work and does not block on
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* futures. The recovery subsystem bounds its own concurrency, and therefore the amount of recovery work done on the {@code
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* #GENERIC} pool, via {@code cluster.routing.allocation.node_concurrent_recoveries} and related settings. This pool is a good
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* choice for recovery work because the threads used by recovery will be used by other {@code #GENERIC} work too rather than mostly
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* sitting idle until cleaned up. Idle threads are surprisingly costly sometimes.
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* <p>
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* This pool does not reject any task. Tasks you submit to this executor after the pool starts to shut down may simply never run.
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*/
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public static final String GENERIC = "generic";
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/**
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* Important management tasks that keep the cluster from falling apart.
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* This thread pool ensures cluster coordination tasks do not get blocked by less critical tasks and can continue to make progress.
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* This thread pool also defaults to a single thread, reducing contention on the Coordinator mutex.
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* A thread pool solely for the use of the cluster coordination subsystem that relates to cluster state updates, master elections,
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* cluster membership and so on.
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* <p>
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* This pool defaults to a single thread to avoid contention on {@code Coordinator#mutex}.
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*/
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public static final String CLUSTER_COORDINATION = "cluster_coordination";
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public static final String GET = "get";
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public static final String ANALYZE = "analyze";
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public static final String WRITE = "write";
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@ -91,11 +116,21 @@ public class ThreadPool implements ReportingService<ThreadPoolInfo>, Scheduler,
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public static final String SEARCH_COORDINATION = "search_coordination";
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public static final String AUTO_COMPLETE = "auto_complete";
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public static final String SEARCH_THROTTLED = "search_throttled";
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/**
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* Cluster management tasks. Tasks that manage data, and tasks that report on cluster health via statistics etc.
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* Not a latency sensitive thread pool: some tasks may time be long-running; and the thread pool size is limited / relatively small.
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* A thread pool for running tasks related to cluster management, including collecting and exposing stats in APIs and certain other
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* internal tasks.
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* <p>
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* This pool is deliberately small in order to throttle the rate at which such tasks are executed and avoid diverting resources away
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* from production-critical work such as indexing and search. You may run long-running (CPU-bound or IO-bound) tasks on this pool,
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* but if the work relates to a REST API call then it must be cancellable in order to prevent an overexcited client from blocking or
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* delaying other management work.
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* <p>
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* Note that a cluster with overloaded {@code MANAGEMENT} pools will typically struggle to respond to stats APIs and may be hard to
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* troubleshoot.
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*/
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public static final String MANAGEMENT = "management";
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public static final String FLUSH = "flush";
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public static final String REFRESH = "refresh";
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public static final String WARMER = "warmer";
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