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| <li> |
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| <a href="/docs/latest/distributed-computing/executor-service" |
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| class='' |
| >Executor Service</a> |
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| <li> |
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| <a href="/docs/latest/distributed-computing/map-reduce" |
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| class='' |
| >MapReduce API</a> |
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| </li> |
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| <li> |
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| <a href="/docs/latest/distributed-computing/load-balancing" |
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| class='' |
| >Load Balancing</a> |
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| </li> |
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| <li> |
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| <a href="/docs/latest/distributed-computing/fault-tolerance" |
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| class='' |
| >Fault Tolerance</a> |
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| </li> |
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| <li> |
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| <a href="/docs/latest/distributed-computing/job-scheduling" |
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| class='' |
| >Job Scheduling</a> |
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| </nav> |
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| <li> |
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| <a href="/docs/latest/collocated-computations" class='' >Colocating Computations with Data</a> |
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| <a href="/docs/latest/events/listening-to-events" |
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| class='' |
| >Enabling and Listenting to Events</a> |
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| <li> |
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| <a href="/docs/latest/events/events" |
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| <a href="/docs/latest/platform-cache" class='' >.NET Platform Cache</a> |
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| >Queue and Set</a> |
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| <li> |
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| <a href="/docs/latest/data-structures/atomic-types" |
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| >Atomic Types</a> |
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| <li> |
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| <a href="/docs/latest/data-structures/countdownlatch" |
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| class='' |
| >CountDownLatch</a> |
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| <li> |
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| <a href="/docs/latest/data-structures/atomic-sequence" |
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| <li> |
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| <a href="/docs/latest/data-structures/semaphore" |
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| class='' |
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| <li><a href="/docs/latest//machine-learning/regression/knn-regression" class=''>k-NN Regression</a></li> |
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| <li><a href="/docs/latest//machine-learning/clustering/introduction" class=''>Introduction</a></li> |
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| <li><a href="/docs/latest//machine-learning/clustering/k-means-clustering" class=''>K-Means Clustering</a></li> |
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| <li><a href="/docs/latest//machine-learning/clustering/gaussian-mixture" class=''>Gaussian mixture (GMM)</a></li> |
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| <li> |
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| <a href="/docs/latest/machine-learning/preprocessing" |
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| class='' |
| >Preprocessing</a> |
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| <li> |
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| class='collapsed '>Model Selection<img class="state-indicator" src="/assets/images/left-nav-arrow.svg"></button> |
| <nav class="sub_pages collapsed"> |
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| <li><a href="/docs/latest//machine-learning/model-selection/introduction" class=''>Introduction</a></li> |
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| <li><a href="/docs/latest//machine-learning/model-selection/evaluator" class=''>Evaluator</a></li> |
| |
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| <li><a href="/docs/latest//machine-learning/model-selection/split-the-dataset-on-test-and-train-datasets" class=''>Split the dataset on test and train datasets</a></li> |
| |
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| <li><a href="/docs/latest//machine-learning/model-selection/hyper-parameter-tuning" class=''>Hyper-parameter tuning</a></li> |
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| <li><a href="/docs/latest//machine-learning/model-selection/pipeline-api" class=''>Pipeline API</a></li> |
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| </nav> |
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| <li> |
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| <a href="/docs/latest/machine-learning/multiclass-classification" |
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| class='' |
| >Multiclass Classification</a> |
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| <li> |
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| <button |
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| <li><a href="/docs/latest//machine-learning/ensemble-methods/introduction" class=''></a></li> |
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| <li><a href="/docs/latest//machine-learning/ensemble-methods/stacking" class=''>Stacking</a></li> |
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| <li><a href="/docs/latest//machine-learning/ensemble-methods/baggin" class=''>Bagging</a></li> |
| |
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| <li><a href="/docs/latest//machine-learning/ensemble-methods/random-forest" class=''>Random Forest</a></li> |
| |
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| <li><a href="/docs/latest//machine-learning/ensemble-methods/gradient-boosting" class=''>Gradient Boosting</a></li> |
| |
| </nav> |
| |
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| <li> |
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| <a href="/docs/latest/machine-learning/recommendation-systems" |
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| class='' |
| >Recommendation Systems</a> |
| |
| </li> |
| |
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| <li> |
| |
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| <button |
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| <li><a href="/docs/latest//machine-learning/importing-model/introduction" class=''>Introduction</a></li> |
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| <li><a href="/docs/latest//machine-learning/importing-model/model-import-from-gxboost" class=''>Import Model from XGBoost</a></li> |
| |
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| <li><a href="/docs/latest//machine-learning/importing-model/model-import-from-apache-spark" class=''>Import Model from Apache Spark</a></li> |
| |
| </nav> |
| |
| </li> |
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| </nav> |
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| <a href="/docs/latest/monitoring-metrics/intro" |
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| >Introduction</a> |
| |
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| <li> |
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| <a href="/docs/latest/monitoring-metrics/cluster-id" |
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| class='' |
| >Cluster ID and Tag</a> |
| |
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| <li><a href="/docs/latest//monitoring-metrics/configuring-metrics" class=''>Configuring Metrics</a></li> |
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| <li><a href="/docs/latest//monitoring-metrics/metrics" class=''>JMX Metrics</a></li> |
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| <li><a href="/docs/latest//security/tde" class=''>Introduction</a></li> |
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| >Thin Clients Overview</a> |
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| >Java Thin Client</a> |
| |
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| <a href="/docs/latest/thin-clients/dotnet-thin-client" |
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| >.NET Thin Client</a> |
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| <li> |
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| <a href="/docs/latest/thin-clients/cpp-thin-client" |
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| >C++ Thin Client</a> |
| |
| </li> |
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| <li> |
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| <a href="/docs/latest/thin-clients/python-thin-client" |
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| class='' |
| >Python Thin Client</a> |
| |
| </li> |
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| <li> |
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| <a href="/docs/latest/thin-clients/php-thin-client" |
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| class='' |
| >PHP Thin Client</a> |
| |
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| <li> |
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| <a href="/docs/latest/thin-clients/nodejs-thin-client" |
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| class='' |
| >Node.js Thin Client</a> |
| |
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| |
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| <button |
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| <li><a href="/docs/latest//binary-client-protocol/binary-client-protocol" class=''>Binary Client Protocol</a></li> |
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| <li><a href="/docs/latest//binary-client-protocol/data-format" class=''>Data Format</a></li> |
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| <li><a href="/docs/latest//binary-client-protocol/key-value-queries" class=''>Key-Value Queries</a></li> |
| |
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| <li><a href="/docs/latest//binary-client-protocol/sql-and-scan-queries" class=''>SQL and Scan Queries</a></li> |
| |
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| <li><a href="/docs/latest//binary-client-protocol/binary-type-metadata" class=''>Binary Types Metadata</a></li> |
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| <li><a href="/docs/latest//binary-client-protocol/cache-configuration" class=''>Cache Configuration</a></li> |
| |
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| <li> |
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| <a href="/docs/latest/SQL/ODBC/odbc-driver" |
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| class='' |
| >ODBC Driver</a> |
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| </li> |
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| |
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| <li> |
| |
| <a href="/docs/latest/SQL/ODBC/connection-string-dsn" |
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| class='' |
| >Connection String and DSN</a> |
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| </li> |
| |
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| |
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| <li> |
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| <a href="/docs/latest/SQL/ODBC/querying-modifying-data" |
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| class='' |
| >Querying and Modifying Data</a> |
| |
| </li> |
| |
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| |
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| <li> |
| |
| <a href="/docs/latest/SQL/ODBC/specification" |
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| class='' |
| >Specification</a> |
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| </li> |
| |
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| |
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| <li> |
| |
| <a href="/docs/latest/SQL/ODBC/data-types" |
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| class='' |
| >Data Types</a> |
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| </li> |
| |
| |
| |
| |
| |
| <li> |
| |
| <a href="/docs/latest/SQL/ODBC/error-codes" |
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| class='' |
| >Error Codes</a> |
| |
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| |
| </nav> |
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| <li> |
| |
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| <a href="/docs/latest/restapi" class='' >REST API</a> |
| |
| </li> |
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| <li> |
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| |
| <a href="/docs/latest/control-script" class='' >Control Script</a> |
| |
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| <a href="/docs/latest/plugins" class='' >Plugins</a> |
| |
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| <li> |
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| |
| <a href="/docs/latest/sqlline" class='' >SQLLine</a> |
| |
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| |
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| <button type='button' data-guide-url="" class='group-toggle collapsed '>Ignite for Spark<img class="state-indicator" src="/assets/images/left-nav-arrow.svg"></button> |
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| <li> |
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| <a href="/docs/latest/ignite-for-spark/overview" |
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| class='' |
| >Overview</a> |
| |
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| |
| |
| |
| <li> |
| |
| <a href="/docs/latest/ignite-for-spark/ignitecontext-and-rdd" |
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| class='' |
| >IgniteContext and IgniteRDD</a> |
| |
| </li> |
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| <a class='edit-link' href="https://github.com/apache/ignite/tree/IGNITE-7595/docs/_docs/sql-reference/operational-commands.adoc" target="_blank">Edit</a> |
| |
| <h1>Operational Commands</h1> |
| |
| <div id="preamble"> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Ignite supports the following operational commands:</p> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="copy">COPY</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Copy data from a CSV file into a SQL table.</p> |
| </div> |
| <div class="listingblock"> |
| <div class="content"> |
| <pre class="rouge highlight"><code data-lang="sql"><span class="k">COPY</span> <span class="k">FROM</span> <span class="s1">'/path/to/local/file.csv'</span> |
| <span class="k">INTO</span> <span class="n">tableName</span> <span class="p">(</span><span class="n">columnName</span><span class="p">,</span> <span class="n">columnName</span><span class="p">,</span> <span class="p">...)</span> <span class="n">FORMAT</span> <span class="n">CSV</span> <span class="p">[</span><span class="n">CHARSET</span> <span class="s1">'<charset-name>'</span><span class="p">]</span></code></pre> |
| </div> |
| </div> |
| <div class="sect2"> |
| <h3 id="parameters">Parameters</h3> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>'/path/to/local/file.csv'</code> - actual path to your CSV file.</p> |
| </li> |
| <li> |
| <p><code>tableName</code> - name of the table to which the data will be copied.</p> |
| </li> |
| <li> |
| <p><code>columnName</code> - name of a column corresponding with the columns in the CSV file.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| <div class="sect2"> |
| <h3 id="description">Description</h3> |
| <div class="paragraph"> |
| <p><code>COPY</code> allows you to copy the content of a file in the local file system to the server and apply its data to a SQL table. Internally, <code>COPY</code> reads the file content in a binary form into data packets, and sends those packets to the server. Then, the file content is parsed and executed in a streaming mode. Use this mode if you have data dumped to a file.</p> |
| </div> |
| <div class="admonitionblock note"> |
| <table> |
| <tr> |
| <td class="icon"> |
| <div class="title">Note</div> |
| </td> |
| <td class="content"> |
| Currently, <code>COPY</code> is only supported via the JDBC driver and can only work with CSV format. |
| </td> |
| </tr> |
| </table> |
| </div> |
| </div> |
| <div class="sect2"> |
| <h3 id="example">Example</h3> |
| <div class="paragraph"> |
| <p><code>COPY</code> can be executed like so:</p> |
| </div> |
| <div class="listingblock"> |
| <div class="content"> |
| <pre class="rouge highlight"><code data-lang="sql"><span class="k">COPY</span> <span class="k">FROM</span> <span class="s1">'/path/to/local/file.csv'</span> <span class="k">INTO</span> <span class="n">city</span> <span class="p">(</span> |
| <span class="n">ID</span><span class="p">,</span> <span class="n">Name</span><span class="p">,</span> <span class="n">CountryCode</span><span class="p">,</span> <span class="n">District</span><span class="p">,</span> <span class="n">Population</span><span class="p">)</span> <span class="n">FORMAT</span> <span class="n">CSV</span></code></pre> |
| </div> |
| </div> |
| <div class="paragraph"> |
| <p>In the above command, substitute <code>/path/to/local/file.csv</code> with the actual path to your CSV file. For instance, you can use <code>city.csv</code> which is shipped with the latest Ignite. |
| You can find it in your <code>{IGNITE_HOME}/examples/src/main/resources/sql/</code> directory.</p> |
| </div> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="set-streaming">SET STREAMING</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Stream data in bulk from a file into a SQL table.</p> |
| </div> |
| <div class="listingblock"> |
| <div class="content"> |
| <pre class="rouge highlight"><code data-lang="sql"><span class="k">SET</span> <span class="n">STREAMING</span> <span class="p">[</span><span class="k">OFF</span><span class="o">|</span><span class="k">ON</span><span class="p">];</span></code></pre> |
| </div> |
| </div> |
| <div class="sect2"> |
| <h3 id="description-2">Description</h3> |
| <div class="paragraph"> |
| <p>Using the <code>SET</code> command, you can stream data in bulk into a SQL table in your cluster. When streaming is enabled, the JDBC/ODBC driver will pack your commands in batches and send them to the server (Ignite cluster). On the server side, the batch is converted into a stream of cache update commands which are distributed asynchronously between server nodes. Performing this asynchronously increases peak throughput because at any given time all cluster nodes are busy with data loading.</p> |
| </div> |
| </div> |
| <div class="sect2"> |
| <h3 id="usage">Usage</h3> |
| <div class="paragraph"> |
| <p>To stream data into your cluster, prepare a file with the <code>SET STREAMING ON</code> command followed by <code>INSERT</code> commands for data that needs to be loaded. For example:</p> |
| </div> |
| <div class="listingblock"> |
| <div class="content"> |
| <pre class="rouge highlight"><code data-lang="sql"><span class="k">SET</span> <span class="n">STREAMING</span> <span class="k">ON</span><span class="p">;</span> |
| |
| <span class="k">INSERT</span> <span class="k">INTO</span> <span class="n">City</span><span class="p">(</span><span class="n">ID</span><span class="p">,</span> <span class="n">Name</span><span class="p">,</span> <span class="n">CountryCode</span><span class="p">,</span> <span class="n">District</span><span class="p">,</span> <span class="n">Population</span><span class="p">)</span> <span class="k">VALUES</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="s1">'Kabul'</span><span class="p">,</span><span class="s1">'AFG'</span><span class="p">,</span><span class="s1">'Kabol'</span><span class="p">,</span><span class="mi">1780000</span><span class="p">);</span> |
| <span class="k">INSERT</span> <span class="k">INTO</span> <span class="n">City</span><span class="p">(</span><span class="n">ID</span><span class="p">,</span> <span class="n">Name</span><span class="p">,</span> <span class="n">CountryCode</span><span class="p">,</span> <span class="n">District</span><span class="p">,</span> <span class="n">Population</span><span class="p">)</span> <span class="k">VALUES</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span><span class="s1">'Qandahar'</span><span class="p">,</span><span class="s1">'AFG'</span><span class="p">,</span><span class="s1">'Qandahar'</span><span class="p">,</span><span class="mi">237500</span><span class="p">);</span> |
| <span class="k">INSERT</span> <span class="k">INTO</span> <span class="n">City</span><span class="p">(</span><span class="n">ID</span><span class="p">,</span> <span class="n">Name</span><span class="p">,</span> <span class="n">CountryCode</span><span class="p">,</span> <span class="n">District</span><span class="p">,</span> <span class="n">Population</span><span class="p">)</span> <span class="k">VALUES</span> <span class="p">(</span><span class="mi">3</span><span class="p">,</span><span class="s1">'Herat'</span><span class="p">,</span><span class="s1">'AFG'</span><span class="p">,</span><span class="s1">'Herat'</span><span class="p">,</span><span class="mi">186800</span><span class="p">);</span> |
| <span class="k">INSERT</span> <span class="k">INTO</span> <span class="n">City</span><span class="p">(</span><span class="n">ID</span><span class="p">,</span> <span class="n">Name</span><span class="p">,</span> <span class="n">CountryCode</span><span class="p">,</span> <span class="n">District</span><span class="p">,</span> <span class="n">Population</span><span class="p">)</span> <span class="k">VALUES</span> <span class="p">(</span><span class="mi">4</span><span class="p">,</span><span class="s1">'Mazar-e-Sharif'</span><span class="p">,</span><span class="s1">'AFG'</span><span class="p">,</span><span class="s1">'Balkh'</span><span class="p">,</span><span class="mi">127800</span><span class="p">);</span> |
| <span class="k">INSERT</span> <span class="k">INTO</span> <span class="n">City</span><span class="p">(</span><span class="n">ID</span><span class="p">,</span> <span class="n">Name</span><span class="p">,</span> <span class="n">CountryCode</span><span class="p">,</span> <span class="n">District</span><span class="p">,</span> <span class="n">Population</span><span class="p">)</span> <span class="k">VALUES</span> <span class="p">(</span><span class="mi">5</span><span class="p">,</span><span class="s1">'Amsterdam'</span><span class="p">,</span><span class="s1">'NLD'</span><span class="p">,</span><span class="s1">'Noord-Holland'</span><span class="p">,</span><span class="mi">731200</span><span class="p">);</span> |
| <span class="c1">-- More INSERT commands --</span></code></pre> |
| </div> |
| </div> |
| <div class="paragraph"> |
| <p>Note that before executing the above statements, you should have the tables created in the cluster. Run <code>CREATE TABLE</code> commands, or provide the commands as part of the file that is used for inserting data, before the <code>SET STREAMING ON</code> command, like so:</p> |
| </div> |
| <div class="listingblock"> |
| <div class="content"> |
| <pre class="rouge highlight"><code data-lang="sql"><span class="k">CREATE</span> <span class="k">TABLE</span> <span class="n">City</span> <span class="p">(</span> |
| <span class="n">ID</span> <span class="nb">INT</span><span class="p">(</span><span class="mi">11</span><span class="p">),</span> |
| <span class="n">Name</span> <span class="nb">CHAR</span><span class="p">(</span><span class="mi">35</span><span class="p">),</span> |
| <span class="n">CountryCode</span> <span class="nb">CHAR</span><span class="p">(</span><span class="mi">3</span><span class="p">),</span> |
| <span class="n">District</span> <span class="nb">CHAR</span><span class="p">(</span><span class="mi">20</span><span class="p">),</span> |
| <span class="n">Population</span> <span class="nb">INT</span><span class="p">(</span><span class="mi">11</span><span class="p">),</span> |
| <span class="k">PRIMARY</span> <span class="k">KEY</span> <span class="p">(</span><span class="n">ID</span><span class="p">,</span> <span class="n">CountryCode</span><span class="p">)</span> |
| <span class="p">)</span> <span class="k">WITH</span> <span class="nv">"template=partitioned, backups=1, affinityKey=CountryCode, CACHE_NAME=City, KEY_TYPE=demo.model.CityKey, VALUE_TYPE=demo.model.City"</span><span class="p">;</span> |
| |
| <span class="k">SET</span> <span class="n">STREAMING</span> <span class="k">ON</span><span class="p">;</span> |
| |
| <span class="k">INSERT</span> <span class="k">INTO</span> <span class="n">City</span><span class="p">(</span><span class="n">ID</span><span class="p">,</span> <span class="n">Name</span><span class="p">,</span> <span class="n">CountryCode</span><span class="p">,</span> <span class="n">District</span><span class="p">,</span> <span class="n">Population</span><span class="p">)</span> <span class="k">VALUES</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="s1">'Kabul'</span><span class="p">,</span><span class="s1">'AFG'</span><span class="p">,</span><span class="s1">'Kabol'</span><span class="p">,</span><span class="mi">1780000</span><span class="p">);</span> |
| <span class="k">INSERT</span> <span class="k">INTO</span> <span class="n">City</span><span class="p">(</span><span class="n">ID</span><span class="p">,</span> <span class="n">Name</span><span class="p">,</span> <span class="n">CountryCode</span><span class="p">,</span> <span class="n">District</span><span class="p">,</span> <span class="n">Population</span><span class="p">)</span> <span class="k">VALUES</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span><span class="s1">'Qandahar'</span><span class="p">,</span><span class="s1">'AFG'</span><span class="p">,</span><span class="s1">'Qandahar'</span><span class="p">,</span><span class="mi">237500</span><span class="p">);</span> |
| <span class="k">INSERT</span> <span class="k">INTO</span> <span class="n">City</span><span class="p">(</span><span class="n">ID</span><span class="p">,</span> <span class="n">Name</span><span class="p">,</span> <span class="n">CountryCode</span><span class="p">,</span> <span class="n">District</span><span class="p">,</span> <span class="n">Population</span><span class="p">)</span> <span class="k">VALUES</span> <span class="p">(</span><span class="mi">3</span><span class="p">,</span><span class="s1">'Herat'</span><span class="p">,</span><span class="s1">'AFG'</span><span class="p">,</span><span class="s1">'Herat'</span><span class="p">,</span><span class="mi">186800</span><span class="p">);</span> |
| <span class="k">INSERT</span> <span class="k">INTO</span> <span class="n">City</span><span class="p">(</span><span class="n">ID</span><span class="p">,</span> <span class="n">Name</span><span class="p">,</span> <span class="n">CountryCode</span><span class="p">,</span> <span class="n">District</span><span class="p">,</span> <span class="n">Population</span><span class="p">)</span> <span class="k">VALUES</span> <span class="p">(</span><span class="mi">4</span><span class="p">,</span><span class="s1">'Mazar-e-Sharif'</span><span class="p">,</span><span class="s1">'AFG'</span><span class="p">,</span><span class="s1">'Balkh'</span><span class="p">,</span><span class="mi">127800</span><span class="p">);</span> |
| <span class="k">INSERT</span> <span class="k">INTO</span> <span class="n">City</span><span class="p">(</span><span class="n">ID</span><span class="p">,</span> <span class="n">Name</span><span class="p">,</span> <span class="n">CountryCode</span><span class="p">,</span> <span class="n">District</span><span class="p">,</span> <span class="n">Population</span><span class="p">)</span> <span class="k">VALUES</span> <span class="p">(</span><span class="mi">5</span><span class="p">,</span><span class="s1">'Amsterdam'</span><span class="p">,</span><span class="s1">'NLD'</span><span class="p">,</span><span class="s1">'Noord-Holland'</span><span class="p">,</span><span class="mi">731200</span><span class="p">);</span> |
| <span class="c1">-- More INSERT commands --</span></code></pre> |
| </div> |
| </div> |
| <div class="admonitionblock note"> |
| <table> |
| <tr> |
| <td class="icon"> |
| <div class="title">Note</div> |
| </td> |
| <td class="content"> |
| <h3 id="flush-all-data-to-the-cluster" class="discrete">Flush All Data to the Cluster</h3> |
| <div class="paragraph"> |
| <p>When you have finished loading data, make sure to close the JDBC/ODBC connection so that all data is flushed to the cluster.</p> |
| </div> |
| </td> |
| </tr> |
| </table> |
| </div> |
| </div> |
| <div class="sect2"> |
| <h3 id="known-limitations">Known Limitations</h3> |
| <div class="paragraph"> |
| <p>While streaming mode allows you to load data much faster than other data loading techniques mentioned in this guide, it has some limitations:</p> |
| </div> |
| <div class="olist arabic"> |
| <ol class="arabic"> |
| <li> |
| <p>Only <code>INSERT</code> commands are allowed; any attempt to execute <code>SELECT</code> or any other DML or DDL command will cause an exception.</p> |
| </li> |
| <li> |
| <p>Due to streaming mode’s asynchronous nature, you cannot know update counts for every statement executed; all JDBC/ODBC commands returning update counts will return 0.</p> |
| </li> |
| </ol> |
| </div> |
| </div> |
| <div class="sect2"> |
| <h3 id="example-2">Example</h3> |
| <div class="paragraph"> |
| <p>As an example, you can use the sample world.sql file that is shipped with the latest Ignite distribution. It can be found in the <code>{IGNITE_HOME}/examples/sql/</code> directory. You can use the <code>run</code> command from <a href="/docs/latest/sqlline" target="_blank" rel="noopener">SQLLine</a>, as shown below:</p> |
| </div> |
| <div class="listingblock"> |
| <div class="content"> |
| <pre class="rouge highlight"><code data-lang="shell"><span class="o">!</span>run /apache_ignite_version/examples/sql/world.sql</code></pre> |
| </div> |
| </div> |
| <div class="paragraph"> |
| <p>After executing the above command and <strong>closing the JDBC connection</strong>, all data will be loaded into the cluster and ready to be queried.</p> |
| </div> |
| <div class="imageblock"> |
| <div class="content"> |
| <img src="/docs/2.9.0/images/set-streaming.png" alt="set streaming"> |
| </div> |
| </div> |
| </div> |
| </div> |
| </div> |
| <div class="copyright"> |
| © 2020 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. |
| |
| </div> |
| |
| </article> |
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| <li><a href="#description">Description</a></li> |
| <li><a href="#example">Example</a></li> |
| </ul> |
| </li> |
| <li><a href="#set-streaming">SET STREAMING</a> |
| <ul class="sectlevel2"> |
| <li><a href="#description-2">Description</a></li> |
| <li><a href="#usage">Usage</a></li> |
| <li><a href="#known-limitations">Known Limitations</a></li> |
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| </script> |
| <!-- load google fonts async --> |
| <script type="text/javascript"> |
| WebFontConfig = { |
| google: { families: [ 'Open+Sans:300,400,600,700&display=swap' ] } |
| }; |
| (function() { |
| var wf = document.createElement('script'); |
| wf.src = 'https://ajax.googleapis.com/ajax/libs/webfont/1/webfont.js'; |
| wf.type = 'text/javascript'; |
| wf.async = 'true'; |
| var s = document.getElementsByTagName('script')[0]; |
| s.parentNode.insertBefore(wf, s); |
| })(); </script> |
| <script src="https://cdn.jsdelivr.net/npm/docsearch.js@2/dist/cdn/docsearch.min.js"></script> |
| <script> |
| docsearch({ |
| // Your apiKey and indexName will be given to you once |
| // we create your config |
| apiKey: '3eee686c0ebe39eff3baeb18c56fa5f8', |
| indexName: 'apache_ignite', |
| // Replace inputSelector with a CSS selector |
| // matching your search input |
| inputSelector: '#search-input', |
| // algoliaOptions: { 'facetFilters': ["version:$VERSION"] }, |
| |
| // Set debug to true to inspect the dropdown |
| debug: false, |
| }); |
| </script> |
| <script type='module' src='/assets/js/index.js?1600382367' async crossorigin></script> |
| <script type='module' src='/assets/js/versioning.js?1600382367' async crossorigin></script> |
| </body> |
| |
| </html> |
