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<h2 title="Class JdbcRDD" class="title">Class JdbcRDD<T></h2>
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<pre>public class <span class="strong">JdbcRDD<T></span>
extends <a href="../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><T>
implements <a href="../../../../org/apache/spark/Logging.html" title="interface in org.apache.spark">Logging</a></pre>
<div class="block">An RDD that executes an SQL query on a JDBC connection and reads results.
For usage example, see test case JdbcRDDSuite.
<p>
param: getConnection a function that returns an open Connection.
The RDD takes care of closing the connection.
param: sql the text of the query.
The query must contain two ? placeholders for parameters used to partition the results.
E.g. "select title, author from books where ? <= id and id <= ?"
param: lowerBound the minimum value of the first placeholder
param: upperBound the maximum value of the second placeholder
The lower and upper bounds are inclusive.
param: numPartitions the number of partitions.
Given a lowerBound of 1, an upperBound of 20, and a numPartitions of 2,
the query would be executed twice, once with (1, 10) and once with (11, 20)
param: mapRow a function from a ResultSet to a single row of the desired result type(s).
This should only call getInt, getString, etc; the RDD takes care of calling next.
The default maps a ResultSet to an array of Object.</div>
<dl><dt><span class="strong">See Also:</span></dt><dd><a href="../../../../serialized-form.html#org.apache.spark.rdd.JdbcRDD">Serialized Form</a></dd></dl>
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<td class="colFirst"><code>static interface </code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/rdd/JdbcRDD.ConnectionFactory.html" title="interface in org.apache.spark.rdd">JdbcRDD.ConnectionFactory</a></strong></code> </td>
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<td class="colOne"><code><strong><a href="../../../../org/apache/spark/rdd/JdbcRDD.html#JdbcRDD(org.apache.spark.SparkContext, scala.Function0, java.lang.String, long, long, int, scala.Function1, scala.reflect.ClassTag)">JdbcRDD</a></strong>(<a href="../../../../org/apache/spark/SparkContext.html" title="class in org.apache.spark">SparkContext</a> sc,
scala.Function0<java.sql.Connection> getConnection,
java.lang.String sql,
long lowerBound,
long upperBound,
int numPartitions,
scala.Function1<java.sql.ResultSet,<a href="../../../../org/apache/spark/rdd/JdbcRDD.html" title="type parameter in JdbcRDD">T</a>> mapRow,
scala.reflect.ClassTag<<a href="../../../../org/apache/spark/rdd/JdbcRDD.html" title="type parameter in JdbcRDD">T</a>> evidence$1)</code> </td>
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<td class="colFirst"><code>scala.collection.Iterator<<a href="../../../../org/apache/spark/rdd/JdbcRDD.html" title="type parameter in JdbcRDD">T</a>></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/rdd/JdbcRDD.html#compute(org.apache.spark.Partition, org.apache.spark.TaskContext)">compute</a></strong>(<a href="../../../../org/apache/spark/Partition.html" title="interface in org.apache.spark">Partition</a> thePart,
<a href="../../../../org/apache/spark/TaskContext.html" title="class in org.apache.spark">TaskContext</a> context)</code>
<div class="block">:: DeveloperApi ::
Implemented by subclasses to compute a given partition.</div>
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<td class="colFirst"><code>static <a href="../../../../org/apache/spark/api/java/JavaRDD.html" title="class in org.apache.spark.api.java">JavaRDD</a><java.lang.Object[]></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/rdd/JdbcRDD.html#create(org.apache.spark.api.java.JavaSparkContext, org.apache.spark.rdd.JdbcRDD.ConnectionFactory, java.lang.String, long, long, int)">create</a></strong>(<a href="../../../../org/apache/spark/api/java/JavaSparkContext.html" title="class in org.apache.spark.api.java">JavaSparkContext</a> sc,
<a href="../../../../org/apache/spark/rdd/JdbcRDD.ConnectionFactory.html" title="interface in org.apache.spark.rdd">JdbcRDD.ConnectionFactory</a> connectionFactory,
java.lang.String sql,
long lowerBound,
long upperBound,
int numPartitions)</code>
<div class="block">Create an RDD that executes an SQL query on a JDBC connection and reads results.</div>
</td>
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<td class="colFirst"><code>static <T> <a href="../../../../org/apache/spark/api/java/JavaRDD.html" title="class in org.apache.spark.api.java">JavaRDD</a><T></code></td>
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<a href="../../../../org/apache/spark/rdd/JdbcRDD.ConnectionFactory.html" title="interface in org.apache.spark.rdd">JdbcRDD.ConnectionFactory</a> connectionFactory,
java.lang.String sql,
long lowerBound,
long upperBound,
int numPartitions,
<a href="../../../../org/apache/spark/api/java/function/Function.html" title="interface in org.apache.spark.api.java.function">Function</a><java.sql.ResultSet,T> mapRow)</code>
<div class="block">Create an RDD that executes an SQL query on a JDBC connection and reads results.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code><a href="../../../../org/apache/spark/Partition.html" title="interface in org.apache.spark">Partition</a>[]</code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/rdd/JdbcRDD.html#getPartitions()">getPartitions</a></strong>()</code>
<div class="block">Implemented by subclasses to return the set of partitions in this RDD.</div>
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<td class="colFirst"><code>static java.lang.Object[]</code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/rdd/JdbcRDD.html#resultSetToObjectArray(java.sql.ResultSet)">resultSetToObjectArray</a></strong>(java.sql.ResultSet rs)</code> </td>
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<code><a href="../../../../org/apache/spark/Logging.html#initializeIfNecessary()">initializeIfNecessary</a>, <a href="../../../../org/apache/spark/Logging.html#initializeLogging()">initializeLogging</a>, <a href="../../../../org/apache/spark/Logging.html#isTraceEnabled()">isTraceEnabled</a>, <a href="../../../../org/apache/spark/Logging.html#log_()">log_</a>, <a href="../../../../org/apache/spark/Logging.html#log()">log</a>, <a href="../../../../org/apache/spark/Logging.html#logDebug(scala.Function0)">logDebug</a>, <a href="../../../../org/apache/spark/Logging.html#logDebug(scala.Function0, java.lang.Throwable)">logDebug</a>, <a href="../../../../org/apache/spark/Logging.html#logError(scala.Function0)">logError</a>, <a href="../../../../org/apache/spark/Logging.html#logError(scala.Function0, java.lang.Throwable)">logError</a>, <a href="../../../../org/apache/spark/Logging.html#logInfo(scala.Function0)">logInfo</a>, <a href="../../../../org/apache/spark/Logging.html#logInfo(scala.Function0, java.lang.Throwable)">logInfo</a>, <a href="../../../../org/apache/spark/Logging.html#logName()">logName</a>, <a href="../../../../org/apache/spark/Logging.html#logTrace(scala.Function0)">logTrace</a>, <a href="../../../../org/apache/spark/Logging.html#logTrace(scala.Function0, java.lang.Throwable)">logTrace</a>, <a href="../../../../org/apache/spark/Logging.html#logWarning(scala.Function0)">logWarning</a>, <a href="../../../../org/apache/spark/Logging.html#logWarning(scala.Function0, java.lang.Throwable)">logWarning</a></code></li>
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<h3>Constructor Detail</h3>
<a name="JdbcRDD(org.apache.spark.SparkContext, scala.Function0, java.lang.String, long, long, int, scala.Function1, scala.reflect.ClassTag)">
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<h4>JdbcRDD</h4>
<pre>public JdbcRDD(<a href="../../../../org/apache/spark/SparkContext.html" title="class in org.apache.spark">SparkContext</a> sc,
scala.Function0<java.sql.Connection> getConnection,
java.lang.String sql,
long lowerBound,
long upperBound,
int numPartitions,
scala.Function1<java.sql.ResultSet,<a href="../../../../org/apache/spark/rdd/JdbcRDD.html" title="type parameter in JdbcRDD">T</a>> mapRow,
scala.reflect.ClassTag<<a href="../../../../org/apache/spark/rdd/JdbcRDD.html" title="type parameter in JdbcRDD">T</a>> evidence$1)</pre>
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<h4>resultSetToObjectArray</h4>
<pre>public static java.lang.Object[] resultSetToObjectArray(java.sql.ResultSet rs)</pre>
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<h4>create</h4>
<pre>public static <T> <a href="../../../../org/apache/spark/api/java/JavaRDD.html" title="class in org.apache.spark.api.java">JavaRDD</a><T> create(<a href="../../../../org/apache/spark/api/java/JavaSparkContext.html" title="class in org.apache.spark.api.java">JavaSparkContext</a> sc,
<a href="../../../../org/apache/spark/rdd/JdbcRDD.ConnectionFactory.html" title="interface in org.apache.spark.rdd">JdbcRDD.ConnectionFactory</a> connectionFactory,
java.lang.String sql,
long lowerBound,
long upperBound,
int numPartitions,
<a href="../../../../org/apache/spark/api/java/function/Function.html" title="interface in org.apache.spark.api.java.function">Function</a><java.sql.ResultSet,T> mapRow)</pre>
<div class="block">Create an RDD that executes an SQL query on a JDBC connection and reads results.
For usage example, see test case JavaAPISuite.testJavaJdbcRDD.
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>connectionFactory</code> - a factory that returns an open Connection.
The RDD takes care of closing the connection.</dd><dd><code>sql</code> - the text of the query.
The query must contain two ? placeholders for parameters used to partition the results.
E.g. "select title, author from books where ? <= id and id <= ?"</dd><dd><code>lowerBound</code> - the minimum value of the first placeholder</dd><dd><code>upperBound</code> - the maximum value of the second placeholder
The lower and upper bounds are inclusive.</dd><dd><code>numPartitions</code> - the number of partitions.
Given a lowerBound of 1, an upperBound of 20, and a numPartitions of 2,
the query would be executed twice, once with (1, 10) and once with (11, 20)</dd><dd><code>mapRow</code> - a function from a ResultSet to a single row of the desired result type(s).
This should only call getInt, getString, etc; the RDD takes care of calling next.
The default maps a ResultSet to an array of Object.</dd><dd><code>sc</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<h4>create</h4>
<pre>public static <a href="../../../../org/apache/spark/api/java/JavaRDD.html" title="class in org.apache.spark.api.java">JavaRDD</a><java.lang.Object[]> create(<a href="../../../../org/apache/spark/api/java/JavaSparkContext.html" title="class in org.apache.spark.api.java">JavaSparkContext</a> sc,
<a href="../../../../org/apache/spark/rdd/JdbcRDD.ConnectionFactory.html" title="interface in org.apache.spark.rdd">JdbcRDD.ConnectionFactory</a> connectionFactory,
java.lang.String sql,
long lowerBound,
long upperBound,
int numPartitions)</pre>
<div class="block">Create an RDD that executes an SQL query on a JDBC connection and reads results. Each row is
converted into a <code>Object</code> array. For usage example, see test case JavaAPISuite.testJavaJdbcRDD.
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>connectionFactory</code> - a factory that returns an open Connection.
The RDD takes care of closing the connection.</dd><dd><code>sql</code> - the text of the query.
The query must contain two ? placeholders for parameters used to partition the results.
E.g. "select title, author from books where ? <= id and id <= ?"</dd><dd><code>lowerBound</code> - the minimum value of the first placeholder</dd><dd><code>upperBound</code> - the maximum value of the second placeholder
The lower and upper bounds are inclusive.</dd><dd><code>numPartitions</code> - the number of partitions.
Given a lowerBound of 1, an upperBound of 20, and a numPartitions of 2,
the query would be executed twice, once with (1, 10) and once with (11, 20)</dd><dd><code>sc</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<h4>getPartitions</h4>
<pre>public <a href="../../../../org/apache/spark/Partition.html" title="interface in org.apache.spark">Partition</a>[] getPartitions()</pre>
<div class="block"><strong>Description copied from class: <code><a href="../../../../org/apache/spark/rdd/RDD.html#getPartitions()">RDD</a></code></strong></div>
<div class="block">Implemented by subclasses to return the set of partitions in this RDD. This method will only
be called once, so it is safe to implement a time-consuming computation in it.</div>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code><a href="../../../../org/apache/spark/rdd/RDD.html#getPartitions()">getPartitions</a></code> in class <code><a href="../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><<a href="../../../../org/apache/spark/rdd/JdbcRDD.html" title="type parameter in JdbcRDD">T</a>></code></dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<h4>compute</h4>
<pre>public scala.collection.Iterator<<a href="../../../../org/apache/spark/rdd/JdbcRDD.html" title="type parameter in JdbcRDD">T</a>> compute(<a href="../../../../org/apache/spark/Partition.html" title="interface in org.apache.spark">Partition</a> thePart,
<a href="../../../../org/apache/spark/TaskContext.html" title="class in org.apache.spark">TaskContext</a> context)</pre>
<div class="block"><strong>Description copied from class: <code><a href="../../../../org/apache/spark/rdd/RDD.html#compute(org.apache.spark.Partition, org.apache.spark.TaskContext)">RDD</a></code></strong></div>
<div class="block">:: DeveloperApi ::
Implemented by subclasses to compute a given partition.</div>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code><a href="../../../../org/apache/spark/rdd/RDD.html#compute(org.apache.spark.Partition, org.apache.spark.TaskContext)">compute</a></code> in class <code><a href="../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><<a href="../../../../org/apache/spark/rdd/JdbcRDD.html" title="type parameter in JdbcRDD">T</a>></code></dd>
<dt><span class="strong">Parameters:</span></dt><dd><code>thePart</code> - (undocumented)</dd><dd><code>context</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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