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| <h1 class="title">Distributed SQL Engine</h1> |
| |
| |
| <ul id="markdown-toc"> |
| <li><a href="#running-the-thrift-jdbcodbc-server" id="markdown-toc-running-the-thrift-jdbcodbc-server">Running the Thrift JDBC/ODBC server</a></li> |
| <li><a href="#running-the-spark-sql-cli" id="markdown-toc-running-the-spark-sql-cli">Running the Spark SQL CLI</a></li> |
| </ul> |
| |
| <p>Spark SQL can also act as a distributed query engine using its JDBC/ODBC or command-line interface. |
| In this mode, end-users or applications can interact with Spark SQL directly to run SQL queries, |
| without the need to write any code.</p> |
| |
| <h2 id="running-the-thrift-jdbcodbc-server">Running the Thrift JDBC/ODBC server</h2> |
| |
| <p>The Thrift JDBC/ODBC server implemented here corresponds to the <a href="https://cwiki.apache.org/confluence/display/Hive/Setting+Up+HiveServer2"><code class="language-plaintext highlighter-rouge">HiveServer2</code></a> |
| in built-in Hive. You can test the JDBC server with the beeline script that comes with either Spark or compatible Hive.</p> |
| |
| <p>To start the JDBC/ODBC server, run the following in the Spark directory:</p> |
| |
| <div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>./sbin/start-thriftserver.sh |
| </code></pre></div></div> |
| |
| <p>This script accepts all <code class="language-plaintext highlighter-rouge">bin/spark-submit</code> command line options, plus a <code class="language-plaintext highlighter-rouge">--hiveconf</code> option to |
| specify Hive properties. You may run <code class="language-plaintext highlighter-rouge">./sbin/start-thriftserver.sh --help</code> for a complete list of |
| all available options. By default, the server listens on localhost:10000. You may override this |
| behaviour via either environment variables, i.e.:</p> |
| |
| <figure class="highlight"><pre><code class="language-bash" data-lang="bash"><span class="nb">export </span><span class="nv">HIVE_SERVER2_THRIFT_PORT</span><span class="o">=</span><listening-port> |
| <span class="nb">export </span><span class="nv">HIVE_SERVER2_THRIFT_BIND_HOST</span><span class="o">=</span><listening-host> |
| ./sbin/start-thriftserver.sh <span class="se">\</span> |
| <span class="nt">--master</span> <master-uri> <span class="se">\</span> |
| ...</code></pre></figure> |
| |
| <p>or system properties:</p> |
| |
| <figure class="highlight"><pre><code class="language-bash" data-lang="bash">./sbin/start-thriftserver.sh <span class="se">\</span> |
| <span class="nt">--hiveconf</span> hive.server2.thrift.port<span class="o">=</span><listening-port> <span class="se">\</span> |
| <span class="nt">--hiveconf</span> hive.server2.thrift.bind.host<span class="o">=</span><listening-host> <span class="se">\</span> |
| <span class="nt">--master</span> <master-uri> |
| ...</code></pre></figure> |
| |
| <p>Now you can use beeline to test the Thrift JDBC/ODBC server:</p> |
| |
| <div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>./bin/beeline |
| </code></pre></div></div> |
| |
| <p>Connect to the JDBC/ODBC server in beeline with:</p> |
| |
| <div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>beeline> !connect jdbc:hive2://localhost:10000 |
| </code></pre></div></div> |
| |
| <p>Beeline will ask you for a username and password. In non-secure mode, simply enter the username on |
| your machine and a blank password. For secure mode, please follow the instructions given in the |
| <a href="https://cwiki.apache.org/confluence/display/Hive/HiveServer2+Clients">beeline documentation</a>.</p> |
| |
| <p>Configuration of Hive is done by placing your <code class="language-plaintext highlighter-rouge">hive-site.xml</code>, <code class="language-plaintext highlighter-rouge">core-site.xml</code> and <code class="language-plaintext highlighter-rouge">hdfs-site.xml</code> files in <code class="language-plaintext highlighter-rouge">conf/</code>.</p> |
| |
| <p>You may also use the beeline script that comes with Hive.</p> |
| |
| <p>Thrift JDBC server also supports sending thrift RPC messages over HTTP transport. |
| Use the following setting to enable HTTP mode as system property or in <code class="language-plaintext highlighter-rouge">hive-site.xml</code> file in <code class="language-plaintext highlighter-rouge">conf/</code>:</p> |
| |
| <div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>hive.server2.transport.mode - Set this to value: http |
| hive.server2.thrift.http.port - HTTP port number to listen on; default is 10001 |
| hive.server2.http.endpoint - HTTP endpoint; default is cliservice |
| </code></pre></div></div> |
| |
| <p>To test, use beeline to connect to the JDBC/ODBC server in http mode with:</p> |
| |
| <div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>beeline> !connect jdbc:hive2://<host>:<port>/<database>?hive.server2.transport.mode=http;hive.server2.thrift.http.path=<http_endpoint> |
| </code></pre></div></div> |
| |
| <p>If you closed a session and do CTAS, you must set <code class="language-plaintext highlighter-rouge">fs.%s.impl.disable.cache</code> to true in <code class="language-plaintext highlighter-rouge">hive-site.xml</code>. |
| See more details in <a href="https://issues.apache.org/jira/browse/SPARK-21067">[SPARK-21067]</a>.</p> |
| |
| <h2 id="running-the-spark-sql-cli">Running the Spark SQL CLI</h2> |
| |
| <p>The Spark SQL CLI is a convenient tool to run the Hive metastore service in local mode and execute |
| queries input from the command line. Note that the Spark SQL CLI cannot talk to the Thrift JDBC server.</p> |
| |
| <p>To start the Spark SQL CLI, run the following in the Spark directory:</p> |
| |
| <div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>./bin/spark-sql |
| </code></pre></div></div> |
| |
| <p>Configuration of Hive is done by placing your <code class="language-plaintext highlighter-rouge">hive-site.xml</code>, <code class="language-plaintext highlighter-rouge">core-site.xml</code> and <code class="language-plaintext highlighter-rouge">hdfs-site.xml</code> files in <code class="language-plaintext highlighter-rouge">conf/</code>. |
| You may run <code class="language-plaintext highlighter-rouge">./bin/spark-sql --help</code> for a complete list of all available options.</p> |
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