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<a href="/docs/2.11.1/starting-nodes" class='' >Starting and Stopping Nodes</a>
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<a href="/docs/2.11.1/clustering/zookeeper-discovery"
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>ZooKeeper Discovery</a>
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<a href="/docs/2.11.1/clustering/discovery-in-the-cloud"
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<a href="/docs/2.11.1/clustering/network-configuration"
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>Network Configuration</a>
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<a href="/docs/2.11.1/clustering/connect-client-nodes"
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>Connecting Client Nodes</a>
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<a href="/docs/2.11.1/clustering/baseline-topology"
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>Baseline Topology</a>
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<a href="/docs/2.11.1/thin-clients/dotnet-thin-client"
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>.NET Thin Client</a>
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<a href="/docs/2.11.1/thin-clients/cpp-thin-client"
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>C++ Thin Client</a>
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>Python Thin Client</a>
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<a href="/docs/2.11.1/thin-clients/php-thin-client"
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>PHP Thin Client</a>
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<a href="/docs/2.11.1/thin-clients/nodejs-thin-client"
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<li><a href="/docs/2.11.1/binary-client-protocol/key-value-queries" class=''>Key-Value Queries</a></li>
<li><a href="/docs/2.11.1/binary-client-protocol/sql-and-scan-queries" class=''>SQL and Scan Queries</a></li>
<li><a href="/docs/2.11.1/binary-client-protocol/binary-type-metadata" class=''>Binary Types Metadata</a></li>
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<a href="/docs/2.11.1/data-modeling/data-modeling"
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<a href="/docs/2.11.1/data-modeling/affinity-collocation"
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<li>
<a href="/docs/2.11.1/data-modeling/binary-marshaller"
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<button type='button' class='group-toggle collapsed '>Configuring Memory<img class="state-indicator" src="/assets/images/left-nav-arrow.svg" width="6" height="10"></button>
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<a href="/docs/2.11.1/memory-configuration/data-regions"
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>Configuring Data Regions</a>
</li>
<li>
<a href="/docs/2.11.1/memory-configuration/eviction-policies"
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>Eviction Policies</a>
</li>
<li>
<a href="/docs/2.11.1/memory-configuration/replacement-policies"
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<a href="/docs/2.11.1/persistence/native-persistence"
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<li>
<a href="/docs/2.11.1/persistence/external-storage"
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>External Storage</a>
</li>
<li>
<a href="/docs/2.11.1/persistence/swap"
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>Swapping</a>
</li>
<li>
<a href="/docs/2.11.1/persistence/custom-cache-store"
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>Implementing Custom Cache Store</a>
</li>
<li>
<a href="/docs/2.11.1/persistence/snapshot-directory"
class=''
>Configuring Snapshot Directory</a>
</li>
<li>
<a href="/docs/2.11.1/persistence/snapshots"
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>Cluster Snapshots</a>
</li>
<li>
<a href="/docs/2.11.1/persistence/disk-compression"
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>Disk Compression</a>
</li>
<li>
<a href="/docs/2.11.1/persistence/persistence-tuning"
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</li>
<li>
<a href="/docs/2.11.1/snapshots/snapshots" class='' >Cluster Snapshots</a>
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<button type='button' class='group-toggle collapsed '>Configuring Caches<img class="state-indicator" src="/assets/images/left-nav-arrow.svg" width="6" height="10"></button>
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<a href="/docs/2.11.1/configuring-caches/configuration-overview"
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</li>
<li>
<a href="/docs/2.11.1/configuring-caches/configuring-backups"
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>Configuring Partition Backups</a>
</li>
<li>
<a href="/docs/2.11.1/configuring-caches/partition-loss-policy"
class=''
>Partition Loss Policy</a>
</li>
<li>
<a href="/docs/2.11.1/configuring-caches/atomicity-modes"
class=''
>Atomicity Modes</a>
</li>
<li>
<a href="/docs/2.11.1/configuring-caches/expiry-policies"
class=''
>Expiry Policy</a>
</li>
<li>
<a href="/docs/2.11.1/configuring-caches/on-heap-caching"
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>On-Heap Caching</a>
</li>
<li>
<a href="/docs/2.11.1/configuring-caches/cache-groups"
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>Cache Groups</a>
</li>
<li>
<a href="/docs/2.11.1/configuring-caches/near-cache"
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</li>
<li>
<a href="/docs/2.11.1/data-rebalancing" class='' >Data Rebalancing</a>
</li>
<li>
<a href="/docs/2.11.1/data-streaming" class='' >Data Streaming</a>
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<button type='button' class='group-toggle collapsed '>Using Key-Value API<img class="state-indicator" src="/assets/images/left-nav-arrow.svg" width="6" height="10"></button>
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<a href="/docs/2.11.1/key-value-api/basic-cache-operations"
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<a href="/docs/2.11.1/key-value-api/binary-objects"
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</li>
<li>
<a href="/docs/2.11.1/key-value-api/using-scan-queries"
class=''
>Using Scan Queries</a>
</li>
<li>
<a href="/docs/2.11.1/read-repair"
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>Read Repair</a>
</li>
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<li>
<a href="/docs/2.11.1/key-value-api/transactions" class='' >Performing Transactions</a>
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<a href="/docs/2.11.1/SQL/sql-introduction"
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<a href="/docs/2.11.1/SQL/schemas"
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<a href="/docs/2.11.1/SQL/indexes"
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</li>
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<a href="/docs/2.11.1/SQL/sql-api"
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<li>
<a href="/docs/2.11.1/SQL/distributed-joins"
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>Distributed Joins</a>
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<a href="/docs/2.11.1/SQL/sql-transactions"
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<li>
<a href="/docs/2.11.1/SQL/custom-sql-func"
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<li>
<a href="/docs/2.11.1/SQL/JDBC/jdbc-driver"
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<a href="/docs/2.11.1/SQL/JDBC/jdbc-client-driver"
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<li><a href="/docs/2.11.1/SQL/ODBC/querying-modifying-data" class=''>Querying and Modifying Data</a></li>
<li><a href="/docs/2.11.1/SQL/ODBC/specification" class=''>Specification</a></li>
<li><a href="/docs/2.11.1/SQL/ODBC/data-types" class=''>Data Types</a></li>
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<a href="/docs/2.11.1/transactions/mvcc"
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<a href="/docs/2.11.1/sql-reference/sql-conformance"
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<li>
<a href="/docs/2.11.1/sql-reference/ddl"
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<li>
<a href="/docs/2.11.1/sql-reference/dml"
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>Data Manipulation Language (DML)</a>
</li>
<li>
<a href="/docs/2.11.1/sql-reference/transactions"
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>Transactions</a>
</li>
<li>
<a href="/docs/2.11.1/sql-reference/operational-commands"
class=''
>Operational Commands</a>
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<li>
<a href="/docs/2.11.1/sql-reference/aggregate-functions"
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>Aggregate functions</a>
</li>
<li>
<a href="/docs/2.11.1/sql-reference/numeric-functions"
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>Numeric Functions</a>
</li>
<li>
<a href="/docs/2.11.1/sql-reference/string-functions"
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>String Functions</a>
</li>
<li>
<a href="/docs/2.11.1/sql-reference/date-time-functions"
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>Data and Time Functions</a>
</li>
<li>
<a href="/docs/2.11.1/sql-reference/system-functions"
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>System Functions</a>
</li>
<li>
<a href="/docs/2.11.1/sql-reference/data-types"
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<a href="/docs/2.11.1/distributed-computing/distributed-computing"
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<li>
<a href="/docs/2.11.1/distributed-computing/cluster-groups"
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>Cluster Groups</a>
</li>
<li>
<a href="/docs/2.11.1/distributed-computing/executor-service"
class=''
>Executor Service</a>
</li>
<li>
<a href="/docs/2.11.1/distributed-computing/map-reduce"
class=''
>MapReduce API</a>
</li>
<li>
<a href="/docs/2.11.1/distributed-computing/load-balancing"
class=''
>Load Balancing</a>
</li>
<li>
<a href="/docs/2.11.1/distributed-computing/fault-tolerance"
class=''
>Fault Tolerance</a>
</li>
<li>
<a href="/docs/2.11.1/distributed-computing/job-scheduling"
class=''
>Job Scheduling</a>
</li>
<li>
<a href="/docs/2.11.1/distributed-computing/collocated-computations"
class=''
>Colocating Computations with Data</a>
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<button type='button' class='group-toggle collapsed '>Code Deployment<img class="state-indicator" src="/assets/images/left-nav-arrow.svg" width="6" height="10"></button>
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<a href="/docs/2.11.1/code-deployment/deploying-user-code"
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>Deploying User Code</a>
</li>
<li>
<a href="/docs/2.11.1/code-deployment/peer-class-loading"
class=''
>Peer Class Loading</a>
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<li>
<a href="/docs/2.11.1/machine-learning/machine-learning"
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>Machine Learning</a>
</li>
<li>
<a href="/docs/2.11.1/machine-learning/partition-based-dataset"
class=''
>Partition Based Dataset</a>
</li>
<li>
<a href="/docs/2.11.1/machine-learning/updating-trained-models"
class=''
>Updating Trained Models</a>
</li>
<li>
<button
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class='collapsed '>Binary Classification<img class="state-indicator" src="/assets/images/left-nav-arrow.svg" width="6" height="10"></button>
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<li><a href="/docs/2.11.1/machine-learning/binary-classification/introduction" class=''>Introduction</a></li>
<li><a href="/docs/2.11.1/machine-learning/binary-classification/linear-svm" class=''>Linear SVM (Support Vector Machine)</a></li>
<li><a href="/docs/2.11.1/machine-learning/binary-classification/decision-trees" class=''>Decision Trees</a></li>
<li><a href="/docs/2.11.1/machine-learning/binary-classification/multilayer-perceptron" class=''>Multilayer Perceptron</a></li>
<li><a href="/docs/2.11.1/machine-learning/binary-classification/logistic-regression" class=''>Logistic Regression</a></li>
<li><a href="/docs/2.11.1/machine-learning/binary-classification/knn-classification" class=''>k-NN Classification</a></li>
<li><a href="/docs/2.11.1/machine-learning/binary-classification/ann" class=''>ANN (Approximate Nearest Neighbor)</a></li>
<li><a href="/docs/2.11.1/machine-learning/binary-classification/naive-bayes" class=''>Naive Bayes</a></li>
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</li>
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<button
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<li><a href="/docs/2.11.1/machine-learning/regression/introduction" class=''>Introduction</a></li>
<li><a href="/docs/2.11.1/machine-learning/regression/linear-regression" class=''>Linear Regression</a></li>
<li><a href="/docs/2.11.1/machine-learning/regression/decision-trees-regression" class=''>Decision Trees Regression</a></li>
<li><a href="/docs/2.11.1/machine-learning/regression/knn-regression" class=''>k-NN Regression</a></li>
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<li>
<button
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<li><a href="/docs/2.11.1/machine-learning/clustering/introduction" class=''>Introduction</a></li>
<li><a href="/docs/2.11.1/machine-learning/clustering/k-means-clustering" class=''>K-Means Clustering</a></li>
<li><a href="/docs/2.11.1/machine-learning/clustering/gaussian-mixture" class=''>Gaussian mixture (GMM)</a></li>
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</li>
<li>
<a href="/docs/2.11.1/machine-learning/preprocessing"
class=''
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<li>
<button
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<li><a href="/docs/2.11.1/machine-learning/model-selection/introduction" class=''>Introduction</a></li>
<li><a href="/docs/2.11.1/machine-learning/model-selection/evaluator" class=''>Evaluator</a></li>
<li><a href="/docs/2.11.1/machine-learning/model-selection/split-the-dataset-on-test-and-train-datasets" class=''>Split the dataset on test and train datasets</a></li>
<li><a href="/docs/2.11.1/machine-learning/model-selection/hyper-parameter-tuning" class=''>Hyper-parameter tuning</a></li>
<li><a href="/docs/2.11.1/machine-learning/model-selection/pipeline-api" class=''>Pipeline API</a></li>
</nav>
</li>
<li>
<a href="/docs/2.11.1/machine-learning/multiclass-classification"
class=''
>Multiclass Classification</a>
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<li>
<button
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class='collapsed '>Ensemble Methods<img class="state-indicator" src="/assets/images/left-nav-arrow.svg" width="6" height="10"></button>
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<li><a href="/docs/2.11.1/machine-learning/ensemble-methods/introduction" class=''></a></li>
<li><a href="/docs/2.11.1/machine-learning/ensemble-methods/stacking" class=''>Stacking</a></li>
<li><a href="/docs/2.11.1/machine-learning/ensemble-methods/baggin" class=''>Bagging</a></li>
<li><a href="/docs/2.11.1/machine-learning/ensemble-methods/random-forest" class=''>Random Forest</a></li>
<li><a href="/docs/2.11.1/machine-learning/ensemble-methods/gradient-boosting" class=''>Gradient Boosting</a></li>
</nav>
</li>
<li>
<a href="/docs/2.11.1/machine-learning/recommendation-systems"
class=''
>Recommendation Systems</a>
</li>
<li>
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<article data-swiftype-index='true'>
<a class='edit-link' href="https://github.com/apache/ignite/tree/IGNITE-7595/docs/_docs/perf-and-troubleshooting/thread-pools-tuning.adoc" target="_blank">Edit</a>
<h1>Thread Pools Tuning</h1>
<div id="preamble">
<div class="sectionbody">
<div class="paragraph">
<p>Ignite creates and maintains a variety of thread pools that are used for different purposes. In this section, we list some of the more common internal pools and show how you can create a custom one.</p>
</div>
</div>
</div>
<div class="sect1">
<h2 id="system-pool">System Pool</h2>
<div class="sectionbody">
<div class="paragraph">
<p>The system pool handles all the cache related operations except for SQL and some other types of queries that go to the queries pool.
Also, this pool is responsible for processing compute tasks' cancellation operations.</p>
</div>
<div class="paragraph">
<p>The default pool size is <code>max(8, total number of cores)</code>.
Use <code>IgniteConfiguration.setSystemThreadPoolSize(&#8230;&#8203;)</code> or a similar API from your programming language to change the pool size.</p>
</div>
</div>
</div>
<div class="sect1">
<h2 id="queries-pool">Queries Pool</h2>
<div class="sectionbody">
<div class="paragraph">
<p>The queries pool takes care of all SQL, Scan, and SPI queries being sent and executed across the cluster.</p>
</div>
<div class="paragraph">
<p>The default pool size is <code>max(8, total number of cores)</code>.
Use <code>IgniteConfiguration.setQueryThreadPoolSize(&#8230;&#8203;)</code> or a similar API from your programming language to change the pool size.</p>
</div>
</div>
</div>
<div class="sect1">
<h2 id="public-pool">Public Pool</h2>
<div class="sectionbody">
<div class="paragraph">
<p>Public pool is the work-horse of the Compute Grid. All computations are received and processed by this pool.</p>
</div>
<div class="paragraph">
<p>The default pool size is <code>max(8, total number of cores)</code>. Use <code>IgniteConfiguration.setPublicThreadPoolSize(&#8230;&#8203;)</code> or a similar API from your programming language to change the pool size.</p>
</div>
</div>
</div>
<div class="sect1">
<h2 id="service-pool">Service Pool</h2>
<div class="sectionbody">
<div class="paragraph">
<p>Service Grid calls go to the services' thread pool.
Having dedicated pools for the Service and Compute components allows us to avoid threads starvation and deadlocks when a service implementation wants to call a computation or vice versa.</p>
</div>
<div class="paragraph">
<p>The default pool size is <code>max(8, total number of cores)</code>. Use <code>IgniteConfiguration.setServiceThreadPoolSize(&#8230;&#8203;)</code> or a similar API from your programming language to change the pool size.</p>
</div>
</div>
</div>
<div class="sect1">
<h2 id="striped-pool">Striped Pool</h2>
<div class="sectionbody">
<div class="paragraph">
<p>The striped pool helps accelerate basic cache operations and transactions by spreading operations execution across multiple stripes that don&#8217;t contend with each other for resources.</p>
</div>
<div class="paragraph">
<p>The default pool size is <code>max(8, total number of cores)</code>. Use <code>IgniteConfiguration.setStripedPoolSize(&#8230;&#8203;)</code> or a similar API from your programming language to change the pool size.</p>
</div>
</div>
</div>
<div class="sect1">
<h2 id="data-streamer-pool">Data Streamer Pool</h2>
<div class="sectionbody">
<div class="paragraph">
<p>The data streamer pool processes all messages and requests coming from <code>IgniteDataStreamer</code> and a variety of streaming adapters that use <code>IgniteDataStreamer</code> internally.</p>
</div>
<div class="paragraph">
<p>The default pool size is <code>max(8, total number of cores)</code>. Use <code>IgniteConfiguration.setDataStreamerThreadPoolSize(&#8230;&#8203;)</code> or a similar API from your programming language to change the pool size.</p>
</div>
</div>
</div>
<div class="sect1">
<h2 id="creating-custom-thread-pool">Creating Custom Thread Pool</h2>
<div class="sectionbody">
<div class="paragraph">
<p>It is possible to configure a custom thread pool for compute tasks.
This is useful if you want to execute one compute task from another synchronously avoiding deadlocks.
To guarantee this, you need to make sure that a nested task is executed in a thread pool separate from the parent&#8217;s tasks thread pool.</p>
</div>
<div class="paragraph">
<p>A custom pool is defined in <code>IgniteConfiguration</code> and must have a unique name:</p>
</div>
<code-tabs><code-tab data-tab='XML'><div class="listingblock">
<div class="content">
<pre class="rouge highlight"><code data-lang="xml"><span class="nt">&lt;bean</span> <span class="na">class=</span><span class="s">"org.apache.ignite.configuration.IgniteConfiguration"</span><span class="nt">&gt;</span>
<span class="nt">&lt;property</span> <span class="na">name=</span><span class="s">"executorConfiguration"</span><span class="nt">&gt;</span>
<span class="nt">&lt;list&gt;</span>
<span class="nt">&lt;bean</span> <span class="na">class=</span><span class="s">"org.apache.ignite.configuration.ExecutorConfiguration"</span><span class="nt">&gt;</span>
<span class="nt">&lt;property</span> <span class="na">name=</span><span class="s">"name"</span> <span class="na">value=</span><span class="s">"myPool"</span><span class="nt">/&gt;</span>
<span class="nt">&lt;property</span> <span class="na">name=</span><span class="s">"size"</span> <span class="na">value=</span><span class="s">"16"</span><span class="nt">/&gt;</span>
<span class="nt">&lt;/bean&gt;</span>
<span class="nt">&lt;/list&gt;</span>
<span class="nt">&lt;/property&gt;</span>
<span class="nt">&lt;/bean&gt;</span></code></pre>
</div>
</div></code-tab><code-tab data-tab='Java'><div class="listingblock">
<div class="content">
<pre class="rouge highlight"><code data-lang="java"><span class="nc">IgniteConfiguration</span> <span class="n">cfg</span> <span class="o">=</span> <span class="k">new</span> <span class="nc">IgniteConfiguration</span><span class="o">();</span>
<span class="n">cfg</span><span class="o">.</span><span class="na">setExecutorConfiguration</span><span class="o">(</span><span class="k">new</span> <span class="nc">ExecutorConfiguration</span><span class="o">(</span><span class="s">"myPool"</span><span class="o">).</span><span class="na">setSize</span><span class="o">(</span><span class="mi">16</span><span class="o">));</span></code></pre>
</div>
</div></code-tab></code-tabs>
<div class="paragraph">
<p>Now, let&#8217;s assume that you want to execute the following compute task in a thread from the <code>myPool</code> defined above:</p>
</div>
<div class="listingblock">
<div class="content">
<pre class="rouge highlight"><code data-lang="java"><span class="kd">public</span> <span class="kd">class</span> <span class="nc">InnerRunnable</span> <span class="kd">implements</span> <span class="nc">IgniteRunnable</span> <span class="o">{</span>
<span class="nd">@Override</span>
<span class="kd">public</span> <span class="kt">void</span> <span class="nf">run</span><span class="o">()</span> <span class="o">{</span>
<span class="nc">System</span><span class="o">.</span><span class="na">out</span><span class="o">.</span><span class="na">println</span><span class="o">(</span><span class="s">"Hello from inner runnable!"</span><span class="o">);</span>
<span class="o">}</span>
<span class="o">}</span></code></pre>
</div>
</div>
<div class="paragraph">
<p>To do that, use <code>IgniteCompute.withExecutor()</code>, which will execute the task immediately from the parent task, as shown below:</p>
</div>
<div class="listingblock">
<div class="content">
<pre class="rouge highlight"><code data-lang="java"><span class="kd">public</span> <span class="kd">class</span> <span class="nc">OuterRunnable</span> <span class="kd">implements</span> <span class="nc">IgniteRunnable</span> <span class="o">{</span>
<span class="nd">@IgniteInstanceResource</span>
<span class="kd">private</span> <span class="nc">Ignite</span> <span class="n">ignite</span><span class="o">;</span>
<span class="nd">@Override</span>
<span class="kd">public</span> <span class="kt">void</span> <span class="nf">run</span><span class="o">()</span> <span class="o">{</span>
<span class="c1">// Synchronously execute InnerRunnable in a custom executor.</span>
<span class="n">ignite</span><span class="o">.</span><span class="na">compute</span><span class="o">().</span><span class="na">withExecutor</span><span class="o">(</span><span class="s">"myPool"</span><span class="o">).</span><span class="na">run</span><span class="o">(</span><span class="k">new</span> <span class="nc">InnerRunnable</span><span class="o">());</span>
<span class="nc">System</span><span class="o">.</span><span class="na">out</span><span class="o">.</span><span class="na">println</span><span class="o">(</span><span class="s">"outer runnable is executed"</span><span class="o">);</span>
<span class="o">}</span>
<span class="o">}</span></code></pre>
</div>
</div>
<div class="paragraph">
<p>The parent task&#8217;s execution might be triggered the following way and, in this scenario, it will be executed by the public pool:</p>
</div>
<div class="listingblock">
<div class="content">
<pre class="rouge highlight"><code data-lang="java"><span class="n">ignite</span><span class="o">.</span><span class="na">compute</span><span class="o">().</span><span class="na">run</span><span class="o">(</span><span class="k">new</span> <span class="nc">OuterRunnable</span><span class="o">());</span></code></pre>
</div>
</div>
<div class="admonitionblock warning">
<table>
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<div class="title">Warning</div>
</td>
<td class="content">
<h3 id="undefined-thread-pool" class="discrete">Undefined Thread Pool</h3>
<div class="paragraph">
<p>If an application attempts to execute a compute task in a custom pool which is not defined in the configuration of the node, then a special warning message will be printed to the logs, and the task will be picked up by the public pool for execution.</p>
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© 2022 The Apache Software Foundation.<br/>
Apache, Apache Ignite, the Apache feather and the Apache Ignite logo are either registered trademarks or trademarks of The Apache Software Foundation.
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<li><a href="#system-pool">System Pool</a></li>
<li><a href="#queries-pool">Queries Pool</a></li>
<li><a href="#public-pool">Public Pool</a></li>
<li><a href="#service-pool">Service Pool</a></li>
<li><a href="#striped-pool">Striped Pool</a></li>
<li><a href="#data-streamer-pool">Data Streamer Pool</a></li>
<li><a href="#creating-custom-thread-pool">Creating Custom Thread Pool</a></li>
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