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<div class="subTitle">org.apache.spark.sql.columnar</div>
<h2 title="Interface CachedBatchSerializer" class="title">Interface CachedBatchSerializer</h2>
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<dd>java.io.Serializable</dd>
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<dd><a href="../../../../../org/apache/spark/sql/columnar/SimpleMetricsCachedBatchSerializer.html" title="class in org.apache.spark.sql.columnar">SimpleMetricsCachedBatchSerializer</a></dd>
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<pre>public interface <span class="typeNameLabel">CachedBatchSerializer</span>
extends scala.Serializable</pre>
<div class="block">Provides APIs that handle transformations of SQL data associated with the cache/persist APIs.</div>
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<caption><span id="t0" class="activeTableTab"><span>All Methods</span><span class="tabEnd">&nbsp;</span></span><span id="t2" class="tableTab"><span><a href="javascript:show(2);">Instance Methods</a></span><span class="tabEnd">&nbsp;</span></span><span id="t3" class="tableTab"><span><a href="javascript:show(4);">Abstract Methods</a></span><span class="tabEnd">&nbsp;</span></span></caption>
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<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Method and Description</th>
</tr>
<tr id="i0" class="altColor">
<td class="colFirst"><code>scala.Function2&lt;Object,scala.collection.Iterator&lt;<a href="../../../../../org/apache/spark/sql/columnar/CachedBatch.html" title="interface in org.apache.spark.sql.columnar">CachedBatch</a>&gt;,scala.collection.Iterator&lt;<a href="../../../../../org/apache/spark/sql/columnar/CachedBatch.html" title="interface in org.apache.spark.sql.columnar">CachedBatch</a>&gt;&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/sql/columnar/CachedBatchSerializer.html#buildFilter-scala.collection.Seq-scala.collection.Seq-">buildFilter</a></span>(scala.collection.Seq&lt;org.apache.spark.sql.catalyst.expressions.Expression&gt;&nbsp;predicates,
scala.collection.Seq&lt;org.apache.spark.sql.catalyst.expressions.Attribute&gt;&nbsp;cachedAttributes)</code>
<div class="block">Builds a function that can be used to filter batches prior to being decompressed.</div>
</td>
</tr>
<tr id="i1" class="rowColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;<a href="../../../../../org/apache/spark/sql/vectorized/ColumnarBatch.html" title="class in org.apache.spark.sql.vectorized">ColumnarBatch</a>&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/sql/columnar/CachedBatchSerializer.html#convertCachedBatchToColumnarBatch-org.apache.spark.rdd.RDD-scala.collection.Seq-scala.collection.Seq-org.apache.spark.sql.internal.SQLConf-">convertCachedBatchToColumnarBatch</a></span>(<a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;<a href="../../../../../org/apache/spark/sql/columnar/CachedBatch.html" title="interface in org.apache.spark.sql.columnar">CachedBatch</a>&gt;&nbsp;input,
scala.collection.Seq&lt;org.apache.spark.sql.catalyst.expressions.Attribute&gt;&nbsp;cacheAttributes,
scala.collection.Seq&lt;org.apache.spark.sql.catalyst.expressions.Attribute&gt;&nbsp;selectedAttributes,
org.apache.spark.sql.internal.SQLConf&nbsp;conf)</code>
<div class="block">Convert the cached data into a ColumnarBatch.</div>
</td>
</tr>
<tr id="i2" class="altColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;org.apache.spark.sql.catalyst.InternalRow&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/sql/columnar/CachedBatchSerializer.html#convertCachedBatchToInternalRow-org.apache.spark.rdd.RDD-scala.collection.Seq-scala.collection.Seq-org.apache.spark.sql.internal.SQLConf-">convertCachedBatchToInternalRow</a></span>(<a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;<a href="../../../../../org/apache/spark/sql/columnar/CachedBatch.html" title="interface in org.apache.spark.sql.columnar">CachedBatch</a>&gt;&nbsp;input,
scala.collection.Seq&lt;org.apache.spark.sql.catalyst.expressions.Attribute&gt;&nbsp;cacheAttributes,
scala.collection.Seq&lt;org.apache.spark.sql.catalyst.expressions.Attribute&gt;&nbsp;selectedAttributes,
org.apache.spark.sql.internal.SQLConf&nbsp;conf)</code>
<div class="block">Convert the cached batch into <code>InternalRow</code>s.</div>
</td>
</tr>
<tr id="i3" class="rowColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;<a href="../../../../../org/apache/spark/sql/columnar/CachedBatch.html" title="interface in org.apache.spark.sql.columnar">CachedBatch</a>&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/sql/columnar/CachedBatchSerializer.html#convertColumnarBatchToCachedBatch-org.apache.spark.rdd.RDD-scala.collection.Seq-org.apache.spark.storage.StorageLevel-org.apache.spark.sql.internal.SQLConf-">convertColumnarBatchToCachedBatch</a></span>(<a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;<a href="../../../../../org/apache/spark/sql/vectorized/ColumnarBatch.html" title="class in org.apache.spark.sql.vectorized">ColumnarBatch</a>&gt;&nbsp;input,
scala.collection.Seq&lt;org.apache.spark.sql.catalyst.expressions.Attribute&gt;&nbsp;schema,
<a href="../../../../../org/apache/spark/storage/StorageLevel.html" title="class in org.apache.spark.storage">StorageLevel</a>&nbsp;storageLevel,
org.apache.spark.sql.internal.SQLConf&nbsp;conf)</code>
<div class="block">Convert an <code>RDD[ColumnarBatch]</code> into an <code>RDD[CachedBatch]</code> in preparation for caching the data.</div>
</td>
</tr>
<tr id="i4" class="altColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;<a href="../../../../../org/apache/spark/sql/columnar/CachedBatch.html" title="interface in org.apache.spark.sql.columnar">CachedBatch</a>&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/sql/columnar/CachedBatchSerializer.html#convertInternalRowToCachedBatch-org.apache.spark.rdd.RDD-scala.collection.Seq-org.apache.spark.storage.StorageLevel-org.apache.spark.sql.internal.SQLConf-">convertInternalRowToCachedBatch</a></span>(<a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;org.apache.spark.sql.catalyst.InternalRow&gt;&nbsp;input,
scala.collection.Seq&lt;org.apache.spark.sql.catalyst.expressions.Attribute&gt;&nbsp;schema,
<a href="../../../../../org/apache/spark/storage/StorageLevel.html" title="class in org.apache.spark.storage">StorageLevel</a>&nbsp;storageLevel,
org.apache.spark.sql.internal.SQLConf&nbsp;conf)</code>
<div class="block">Convert an <code>RDD[InternalRow]</code> into an <code>RDD[CachedBatch]</code> in preparation for caching the data.</div>
</td>
</tr>
<tr id="i5" class="rowColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/sql/columnar/CachedBatchSerializer.html#supportsColumnarInput-scala.collection.Seq-">supportsColumnarInput</a></span>(scala.collection.Seq&lt;org.apache.spark.sql.catalyst.expressions.Attribute&gt;&nbsp;schema)</code>
<div class="block">Can <code>convertColumnarBatchToCachedBatch()</code> be called instead of
<code>convertInternalRowToCachedBatch()</code> for this given schema? True if it can and false if it
cannot.</div>
</td>
</tr>
<tr id="i6" class="altColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/sql/columnar/CachedBatchSerializer.html#supportsColumnarOutput-org.apache.spark.sql.types.StructType-">supportsColumnarOutput</a></span>(<a href="../../../../../org/apache/spark/sql/types/StructType.html" title="class in org.apache.spark.sql.types">StructType</a>&nbsp;schema)</code>
<div class="block">Can <code>convertCachedBatchToColumnarBatch()</code> be called instead of
<code>convertCachedBatchToInternalRow()</code> for this given schema? True if it can and false if it
cannot.</div>
</td>
</tr>
<tr id="i7" class="rowColor">
<td class="colFirst"><code>scala.Option&lt;scala.collection.Seq&lt;String&gt;&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/sql/columnar/CachedBatchSerializer.html#vectorTypes-scala.collection.Seq-org.apache.spark.sql.internal.SQLConf-">vectorTypes</a></span>(scala.collection.Seq&lt;org.apache.spark.sql.catalyst.expressions.Attribute&gt;&nbsp;attributes,
org.apache.spark.sql.internal.SQLConf&nbsp;conf)</code>
<div class="block">The exact java types of the columns that are output in columnar processing mode.</div>
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<pre>scala.Function2&lt;Object,scala.collection.Iterator&lt;<a href="../../../../../org/apache/spark/sql/columnar/CachedBatch.html" title="interface in org.apache.spark.sql.columnar">CachedBatch</a>&gt;,scala.collection.Iterator&lt;<a href="../../../../../org/apache/spark/sql/columnar/CachedBatch.html" title="interface in org.apache.spark.sql.columnar">CachedBatch</a>&gt;&gt;&nbsp;buildFilter(scala.collection.Seq&lt;org.apache.spark.sql.catalyst.expressions.Expression&gt;&nbsp;predicates,
scala.collection.Seq&lt;org.apache.spark.sql.catalyst.expressions.Attribute&gt;&nbsp;cachedAttributes)</pre>
<div class="block">Builds a function that can be used to filter batches prior to being decompressed.
In most cases extending <a href="../../../../../org/apache/spark/sql/columnar/SimpleMetricsCachedBatchSerializer.html" title="class in org.apache.spark.sql.columnar"><code>SimpleMetricsCachedBatchSerializer</code></a> will provide the filter logic
necessary. You will need to provide metrics for this to work. <a href="../../../../../org/apache/spark/sql/columnar/SimpleMetricsCachedBatch.html" title="interface in org.apache.spark.sql.columnar"><code>SimpleMetricsCachedBatch</code></a>
provides the APIs to hold those metrics and explains the metrics used, really just min and max.
Note that this is intended to skip batches that are not needed, and the actual filtering of
individual rows is handled later.</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>predicates</code> - the set of expressions to use for filtering.</dd>
<dd><code>cachedAttributes</code> - the schema/attributes of the data that is cached. This can be helpful
if you don't store it with the data.</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>a function that takes the partition id and the iterator of batches in the partition.
It returns an iterator of batches that should be decompressed.</dd>
</dl>
</li>
</ul>
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<h4>convertCachedBatchToColumnarBatch</h4>
<pre><a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;<a href="../../../../../org/apache/spark/sql/vectorized/ColumnarBatch.html" title="class in org.apache.spark.sql.vectorized">ColumnarBatch</a>&gt;&nbsp;convertCachedBatchToColumnarBatch(<a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;<a href="../../../../../org/apache/spark/sql/columnar/CachedBatch.html" title="interface in org.apache.spark.sql.columnar">CachedBatch</a>&gt;&nbsp;input,
scala.collection.Seq&lt;org.apache.spark.sql.catalyst.expressions.Attribute&gt;&nbsp;cacheAttributes,
scala.collection.Seq&lt;org.apache.spark.sql.catalyst.expressions.Attribute&gt;&nbsp;selectedAttributes,
org.apache.spark.sql.internal.SQLConf&nbsp;conf)</pre>
<div class="block">Convert the cached data into a ColumnarBatch. This currently is only used if
<code>supportsColumnarOutput()</code> returns true for the associated schema, but there are other checks
that can force row based output. One of the main advantages of doing columnar output over row
based output is that the code generation is more standard and can be combined with code
generation for downstream operations.</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>input</code> - the cached batches that should be converted.</dd>
<dd><code>cacheAttributes</code> - the attributes of the data in the batch.</dd>
<dd><code>selectedAttributes</code> - the fields that should be loaded from the data and the order they
should appear in the output batch.</dd>
<dd><code>conf</code> - the configuration for the job.</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>an RDD of the input cached batches transformed into the ColumnarBatch format.</dd>
</dl>
</li>
</ul>
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<h4>convertCachedBatchToInternalRow</h4>
<pre><a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;org.apache.spark.sql.catalyst.InternalRow&gt;&nbsp;convertCachedBatchToInternalRow(<a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;<a href="../../../../../org/apache/spark/sql/columnar/CachedBatch.html" title="interface in org.apache.spark.sql.columnar">CachedBatch</a>&gt;&nbsp;input,
scala.collection.Seq&lt;org.apache.spark.sql.catalyst.expressions.Attribute&gt;&nbsp;cacheAttributes,
scala.collection.Seq&lt;org.apache.spark.sql.catalyst.expressions.Attribute&gt;&nbsp;selectedAttributes,
org.apache.spark.sql.internal.SQLConf&nbsp;conf)</pre>
<div class="block">Convert the cached batch into <code>InternalRow</code>s. If you want this to be performant, code
generation is advised.</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>input</code> - the cached batches that should be converted.</dd>
<dd><code>cacheAttributes</code> - the attributes of the data in the batch.</dd>
<dd><code>selectedAttributes</code> - the field that should be loaded from the data and the order they
should appear in the output rows.</dd>
<dd><code>conf</code> - the configuration for the job.</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>RDD of the rows that were stored in the cached batches.</dd>
</dl>
</li>
</ul>
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<pre><a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;<a href="../../../../../org/apache/spark/sql/columnar/CachedBatch.html" title="interface in org.apache.spark.sql.columnar">CachedBatch</a>&gt;&nbsp;convertColumnarBatchToCachedBatch(<a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;<a href="../../../../../org/apache/spark/sql/vectorized/ColumnarBatch.html" title="class in org.apache.spark.sql.vectorized">ColumnarBatch</a>&gt;&nbsp;input,
scala.collection.Seq&lt;org.apache.spark.sql.catalyst.expressions.Attribute&gt;&nbsp;schema,
<a href="../../../../../org/apache/spark/storage/StorageLevel.html" title="class in org.apache.spark.storage">StorageLevel</a>&nbsp;storageLevel,
org.apache.spark.sql.internal.SQLConf&nbsp;conf)</pre>
<div class="block">Convert an <code>RDD[ColumnarBatch]</code> into an <code>RDD[CachedBatch]</code> in preparation for caching the data.
This will only be called if <code>supportsColumnarInput()</code> returned true for the given schema and
the plan up to this point would could produce columnar output without modifying it.</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>input</code> - the input <code>RDD</code> to be converted.</dd>
<dd><code>schema</code> - the schema of the data being stored.</dd>
<dd><code>storageLevel</code> - where the data will be stored.</dd>
<dd><code>conf</code> - the config for the query.</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>The data converted into a format more suitable for caching.</dd>
</dl>
</li>
</ul>
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<pre><a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;<a href="../../../../../org/apache/spark/sql/columnar/CachedBatch.html" title="interface in org.apache.spark.sql.columnar">CachedBatch</a>&gt;&nbsp;convertInternalRowToCachedBatch(<a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;org.apache.spark.sql.catalyst.InternalRow&gt;&nbsp;input,
scala.collection.Seq&lt;org.apache.spark.sql.catalyst.expressions.Attribute&gt;&nbsp;schema,
<a href="../../../../../org/apache/spark/storage/StorageLevel.html" title="class in org.apache.spark.storage">StorageLevel</a>&nbsp;storageLevel,
org.apache.spark.sql.internal.SQLConf&nbsp;conf)</pre>
<div class="block">Convert an <code>RDD[InternalRow]</code> into an <code>RDD[CachedBatch]</code> in preparation for caching the data.</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>input</code> - the input <code>RDD</code> to be converted.</dd>
<dd><code>schema</code> - the schema of the data being stored.</dd>
<dd><code>storageLevel</code> - where the data will be stored.</dd>
<dd><code>conf</code> - the config for the query.</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>The data converted into a format more suitable for caching.</dd>
</dl>
</li>
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<pre>boolean&nbsp;supportsColumnarInput(scala.collection.Seq&lt;org.apache.spark.sql.catalyst.expressions.Attribute&gt;&nbsp;schema)</pre>
<div class="block">Can <code>convertColumnarBatchToCachedBatch()</code> be called instead of
<code>convertInternalRowToCachedBatch()</code> for this given schema? True if it can and false if it
cannot. Columnar input is only supported if the plan could produce columnar output. Currently
this is mostly supported by input formats like parquet and orc, but more operations are likely
to be supported soon.</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>schema</code> - the schema of the data being stored.</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>True if columnar input can be supported, else false.</dd>
</dl>
</li>
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<pre>boolean&nbsp;supportsColumnarOutput(<a href="../../../../../org/apache/spark/sql/types/StructType.html" title="class in org.apache.spark.sql.types">StructType</a>&nbsp;schema)</pre>
<div class="block">Can <code>convertCachedBatchToColumnarBatch()</code> be called instead of
<code>convertCachedBatchToInternalRow()</code> for this given schema? True if it can and false if it
cannot. Columnar output is typically preferred because it is more efficient. Note that
<code>convertCachedBatchToInternalRow()</code> must always be supported as there are other checks that
can force row based output.</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>schema</code> - the schema of the data being checked.</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>true if columnar output should be used for this schema, else false.</dd>
</dl>
</li>
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<h4>vectorTypes</h4>
<pre>scala.Option&lt;scala.collection.Seq&lt;String&gt;&gt;&nbsp;vectorTypes(scala.collection.Seq&lt;org.apache.spark.sql.catalyst.expressions.Attribute&gt;&nbsp;attributes,
org.apache.spark.sql.internal.SQLConf&nbsp;conf)</pre>
<div class="block">The exact java types of the columns that are output in columnar processing mode. This
is a performance optimization for code generation and is optional.</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>attributes</code> - the attributes to be output.</dd>
<dd><code>conf</code> - the config for the query that will read the data.</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>(undocumented)</dd>
</dl>
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