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| <h1 id="command-line-hadoop-indexer">Command Line Hadoop Indexer</h1> |
| |
| <p>To run:</p> |
| <div class="highlight"><pre><code class="language-text" data-lang="text"><span></span>java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 -classpath lib/*:<hadoop_config_dir> org.apache.druid.cli.Main index hadoop <spec_file> |
| </code></pre></div> |
| <h2 id="options">Options</h2> |
| |
| <ul> |
| <li>"--coordinate" - provide a version of Apache Hadoop to use. This property will override the default Hadoop coordinates. Once specified, Apache Druid (incubating) will look for those Hadoop dependencies from the location specified by <code>druid.extensions.hadoopDependenciesDir</code>.</li> |
| <li>"--no-default-hadoop" - don't pull down the default hadoop version</li> |
| </ul> |
| |
| <h2 id="spec-file">Spec file</h2> |
| |
| <p>The spec file needs to contain a JSON object where the contents are the same as the "spec" field in the Hadoop index task. See <a href="../ingestion/hadoop.html">Hadoop Batch Ingestion</a> for details on the spec format. </p> |
| |
| <p>In addition, a <code>metadataUpdateSpec</code> and <code>segmentOutputPath</code> field needs to be added to the ioConfig:</p> |
| <div class="highlight"><pre><code class="language-text" data-lang="text"><span></span> "ioConfig" : { |
| ... |
| "metadataUpdateSpec" : { |
| "type":"mysql", |
| "connectURI" : "jdbc:mysql://localhost:3306/druid", |
| "password" : "diurd", |
| "segmentTable" : "druid_segments", |
| "user" : "druid" |
| }, |
| "segmentOutputPath" : "/MyDirectory/data/index/output" |
| }, |
| </code></pre></div> |
| <p>and a <code>workingPath</code> field needs to be added to the tuningConfig:</p> |
| <div class="highlight"><pre><code class="language-text" data-lang="text"><span></span> "tuningConfig" : { |
| ... |
| "workingPath": "/tmp", |
| ... |
| } |
| </code></pre></div> |
| <h4 id="metadata-update-job-spec">Metadata Update Job Spec</h4> |
| |
| <p>This is a specification of the properties that tell the job how to update metadata such that the Druid cluster will see the output segments and load them.</p> |
| |
| <table><thead> |
| <tr> |
| <th>Field</th> |
| <th>Type</th> |
| <th>Description</th> |
| <th>Required</th> |
| </tr> |
| </thead><tbody> |
| <tr> |
| <td>type</td> |
| <td>String</td> |
| <td>"metadata" is the only value available.</td> |
| <td>yes</td> |
| </tr> |
| <tr> |
| <td>connectURI</td> |
| <td>String</td> |
| <td>A valid JDBC url to metadata storage.</td> |
| <td>yes</td> |
| </tr> |
| <tr> |
| <td>user</td> |
| <td>String</td> |
| <td>Username for db.</td> |
| <td>yes</td> |
| </tr> |
| <tr> |
| <td>password</td> |
| <td>String</td> |
| <td>password for db.</td> |
| <td>yes</td> |
| </tr> |
| <tr> |
| <td>segmentTable</td> |
| <td>String</td> |
| <td>Table to use in DB.</td> |
| <td>yes</td> |
| </tr> |
| </tbody></table> |
| |
| <p>These properties should parrot what you have configured for your <a href="../design/coordinator.html">Coordinator</a>.</p> |
| |
| <h4 id="segmentoutputpath-config">segmentOutputPath Config</h4> |
| |
| <table><thead> |
| <tr> |
| <th>Field</th> |
| <th>Type</th> |
| <th>Description</th> |
| <th>Required</th> |
| </tr> |
| </thead><tbody> |
| <tr> |
| <td>segmentOutputPath</td> |
| <td>String</td> |
| <td>the path to dump segments into.</td> |
| <td>yes</td> |
| </tr> |
| </tbody></table> |
| |
| <h4 id="workingpath-config">workingPath Config</h4> |
| |
| <table><thead> |
| <tr> |
| <th>Field</th> |
| <th>Type</th> |
| <th>Description</th> |
| <th>Required</th> |
| </tr> |
| </thead><tbody> |
| <tr> |
| <td>workingPath</td> |
| <td>String</td> |
| <td>the working path to use for intermediate results (results between Hadoop jobs).</td> |
| <td>no (default == '/tmp/druid-indexing')</td> |
| </tr> |
| </tbody></table> |
| |
| <p>Please note that the command line Hadoop indexer doesn't have the locking capabilities of the indexing service, so if you choose to use it, |
| you have to take caution to not override segments created by real-time processing (if you that a real-time pipeline set up).</p> |
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