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<h1 title="Deprecated API" class="title">Deprecated API</h1>
<h2 title="Contents">Contents</h2>
<ul>
<li><a href="#method">Deprecated Methods</a></li>
</ul>
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<div class="contentContainer"><a name="method">
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<table border="0" cellpadding="3" cellspacing="0" summary="Deprecated Methods table, listing deprecated methods, and an explanation">
<caption><span>Deprecated Methods</span><span class="tabEnd"> </span></caption>
<tr>
<th class="colOne" scope="col">Method and Description</th>
</tr>
<tbody>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/streaming/StreamingContext.html#awaitTermination(long)">org.apache.spark.streaming.StreamingContext.awaitTermination(long)</a>
<div class="block"><i>As of 1.3.0, replaced by <code>awaitTerminationOrTimeout(Long)</code>.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/streaming/api/java/JavaStreamingContext.html#awaitTermination(long)">org.apache.spark.streaming.api.java.JavaStreamingContext.awaitTermination(long)</a>
<div class="block"><i>As of 1.3.0, replaced by <code>awaitTerminationOrTimeout(Long)</code>.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/sql/functions.html#callUDF(scala.Function0, org.apache.spark.sql.types.DataType)">org.apache.spark.sql.functions.callUDF(Function0<?>, DataType)</a>
<div class="block"><i>As of 1.5.0, since it's redundant with udf()</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/functions.html#callUDF(scala.Function1, org.apache.spark.sql.types.DataType, org.apache.spark.sql.Column)">org.apache.spark.sql.functions.callUDF(Function1<?, ?>, DataType, Column)</a>
<div class="block"><i>As of 1.5.0, since it's redundant with udf()</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/sql/functions.html#callUDF(scala.Function10, org.apache.spark.sql.types.DataType, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column)">org.apache.spark.sql.functions.callUDF(Function10<?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?>, DataType, Column, Column, Column, Column, Column, Column, Column, Column, Column, Column)</a>
<div class="block"><i>As of 1.5.0, since it's redundant with udf()</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/functions.html#callUDF(scala.Function2, org.apache.spark.sql.types.DataType, org.apache.spark.sql.Column, org.apache.spark.sql.Column)">org.apache.spark.sql.functions.callUDF(Function2<?, ?, ?>, DataType, Column, Column)</a>
<div class="block"><i>As of 1.5.0, since it's redundant with udf()</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/sql/functions.html#callUDF(scala.Function3, org.apache.spark.sql.types.DataType, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column)">org.apache.spark.sql.functions.callUDF(Function3<?, ?, ?, ?>, DataType, Column, Column, Column)</a>
<div class="block"><i>As of 1.5.0, since it's redundant with udf()</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/functions.html#callUDF(scala.Function4, org.apache.spark.sql.types.DataType, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column)">org.apache.spark.sql.functions.callUDF(Function4<?, ?, ?, ?, ?>, DataType, Column, Column, Column, Column)</a>
<div class="block"><i>As of 1.5.0, since it's redundant with udf()</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/sql/functions.html#callUDF(scala.Function5, org.apache.spark.sql.types.DataType, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column)">org.apache.spark.sql.functions.callUDF(Function5<?, ?, ?, ?, ?, ?>, DataType, Column, Column, Column, Column, Column)</a>
<div class="block"><i>As of 1.5.0, since it's redundant with udf()</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/functions.html#callUDF(scala.Function6, org.apache.spark.sql.types.DataType, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column)">org.apache.spark.sql.functions.callUDF(Function6<?, ?, ?, ?, ?, ?, ?>, DataType, Column, Column, Column, Column, Column, Column)</a>
<div class="block"><i>As of 1.5.0, since it's redundant with udf()</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/sql/functions.html#callUDF(scala.Function7, org.apache.spark.sql.types.DataType, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column)">org.apache.spark.sql.functions.callUDF(Function7<?, ?, ?, ?, ?, ?, ?, ?>, DataType, Column, Column, Column, Column, Column, Column, Column)</a>
<div class="block"><i>As of 1.5.0, since it's redundant with udf()</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/functions.html#callUDF(scala.Function8, org.apache.spark.sql.types.DataType, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column)">org.apache.spark.sql.functions.callUDF(Function8<?, ?, ?, ?, ?, ?, ?, ?, ?>, DataType, Column, Column, Column, Column, Column, Column, Column, Column)</a>
<div class="block"><i>As of 1.5.0, since it's redundant with udf()</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/sql/functions.html#callUDF(scala.Function9, org.apache.spark.sql.types.DataType, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column, org.apache.spark.sql.Column)">org.apache.spark.sql.functions.callUDF(Function9<?, ?, ?, ?, ?, ?, ?, ?, ?, ?>, DataType, Column, Column, Column, Column, Column, Column, Column, Column, Column)</a>
<div class="block"><i>As of 1.5.0, since it's redundant with udf()</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/functions.html#callUdf(java.lang.String, scala.collection.Seq)">org.apache.spark.sql.functions.callUdf(String, Seq<Column>)</a>
<div class="block"><i>As of 1.5.0, since it was not coherent to have two functions callUdf and callUDF</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/api/java/StorageLevels.html#create(boolean, boolean, boolean, int)">org.apache.spark.api.java.StorageLevels.create(boolean, boolean, boolean, int)</a></td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/DataFrame.html#createJDBCTable(java.lang.String, java.lang.String, boolean)">org.apache.spark.sql.DataFrame.createJDBCTable(String, String, boolean)</a>
<div class="block"><i>As of 1.340, replaced by <code>write().jdbc()</code>.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/api/java/JavaSparkContext.html#defaultMinSplits()">org.apache.spark.api.java.JavaSparkContext.defaultMinSplits()</a>
<div class="block"><i>As of Spark 1.0.0, defaultMinSplits is deprecated, use
<a href="org/apache/spark/api/java/JavaSparkContext.html#defaultMinPartitions()"><code>JavaSparkContext.defaultMinPartitions()</code></a> instead</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/streaming/api/java/JavaDStreamLike.html#foreach(org.apache.spark.api.java.function.Function)">org.apache.spark.streaming.api.java.JavaDStreamLike.foreach(Function<R, Void>)</a>
<div class="block"><i>As of release 0.9.0, replaced by foreachRDD</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/streaming/dstream/DStream.html#foreach(scala.Function1)">org.apache.spark.streaming.dstream.DStream.foreach(Function1<RDD<T>, BoxedUnit>)</a>
<div class="block"><i>As of 0.9.0, replaced by <code>foreachRDD</code>.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/streaming/dstream/DStream.html#foreach(scala.Function2)">org.apache.spark.streaming.dstream.DStream.foreach(Function2<RDD<T>, Time, BoxedUnit>)</a>
<div class="block"><i>As of 0.9.0, replaced by <code>foreachRDD</code>.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/streaming/api/java/JavaDStreamLike.html#foreach(org.apache.spark.api.java.function.Function2)">org.apache.spark.streaming.api.java.JavaDStreamLike.foreach(Function2<R, Time, Void>)</a>
<div class="block"><i>As of release 0.9.0, replaced by foreachRDD</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/types/DataType.html#fromCaseClassString(java.lang.String)">org.apache.spark.sql.types.DataType.fromCaseClassString(String)</a>
<div class="block"><i>As of 1.2.0, replaced by <code>DataType.fromJson()</code></i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/streaming/api/java/JavaStreamingContext.html#getOrCreate(java.lang.String, org.apache.hadoop.conf.Configuration, org.apache.spark.streaming.api.java.JavaStreamingContextFactory)">org.apache.spark.streaming.api.java.JavaStreamingContext.getOrCreate(String, Configuration, JavaStreamingContextFactory)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>getOrCreate</code> without JavaStreamingContextFactor.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/streaming/api/java/JavaStreamingContext.html#getOrCreate(java.lang.String, org.apache.hadoop.conf.Configuration, org.apache.spark.streaming.api.java.JavaStreamingContextFactory, boolean)">org.apache.spark.streaming.api.java.JavaStreamingContext.getOrCreate(String, Configuration, JavaStreamingContextFactory, boolean)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>getOrCreate</code> without JavaStreamingContextFactor.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/streaming/api/java/JavaStreamingContext.html#getOrCreate(java.lang.String, org.apache.spark.streaming.api.java.JavaStreamingContextFactory)">org.apache.spark.streaming.api.java.JavaStreamingContext.getOrCreate(String, JavaStreamingContextFactory)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>getOrCreate</code> without JavaStreamingContextFactor.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/DataFrame.html#insertInto(java.lang.String)">org.apache.spark.sql.DataFrame.insertInto(String)</a>
<div class="block"><i>As of 1.4.0, replaced by
<code>write().mode(SaveMode.Append).saveAsTable(tableName)</code>.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/sql/DataFrame.html#insertInto(java.lang.String, boolean)">org.apache.spark.sql.DataFrame.insertInto(String, boolean)</a>
<div class="block"><i>As of 1.4.0, replaced by
<code>write().mode(SaveMode.Append|SaveMode.Overwrite).saveAsTable(tableName)</code>.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/DataFrame.html#insertIntoJDBC(java.lang.String, java.lang.String, boolean)">org.apache.spark.sql.DataFrame.insertIntoJDBC(String, String, boolean)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>write().jdbc()</code>.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/sql/SQLContext.html#jdbc(java.lang.String, java.lang.String)">org.apache.spark.sql.SQLContext.jdbc(String, String)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>read().jdbc()</code>.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/SQLContext.html#jdbc(java.lang.String, java.lang.String, java.lang.String[])">org.apache.spark.sql.SQLContext.jdbc(String, String, String[])</a>
<div class="block"><i>As of 1.4.0, replaced by <code>read().jdbc()</code>.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/sql/SQLContext.html#jdbc(java.lang.String, java.lang.String, java.lang.String, long, long, int)">org.apache.spark.sql.SQLContext.jdbc(String, String, String, long, long, int)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>read().jdbc()</code>.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/SQLContext.html#jsonFile(java.lang.String)">org.apache.spark.sql.SQLContext.jsonFile(String)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>read().json()</code>.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/sql/SQLContext.html#jsonFile(java.lang.String, double)">org.apache.spark.sql.SQLContext.jsonFile(String, double)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>read().json()</code>.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/SQLContext.html#jsonFile(java.lang.String, org.apache.spark.sql.types.StructType)">org.apache.spark.sql.SQLContext.jsonFile(String, StructType)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>read().json()</code>.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/sql/SQLContext.html#jsonRDD(org.apache.spark.api.java.JavaRDD)">org.apache.spark.sql.SQLContext.jsonRDD(JavaRDD<String>)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>read().json()</code>.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/SQLContext.html#jsonRDD(org.apache.spark.api.java.JavaRDD, double)">org.apache.spark.sql.SQLContext.jsonRDD(JavaRDD<String>, double)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>read().json()</code>.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/sql/SQLContext.html#jsonRDD(org.apache.spark.api.java.JavaRDD, org.apache.spark.sql.types.StructType)">org.apache.spark.sql.SQLContext.jsonRDD(JavaRDD<String>, StructType)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>read().json()</code>.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/SQLContext.html#jsonRDD(org.apache.spark.rdd.RDD)">org.apache.spark.sql.SQLContext.jsonRDD(RDD<String>)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>read().json()</code>.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/sql/SQLContext.html#jsonRDD(org.apache.spark.rdd.RDD, double)">org.apache.spark.sql.SQLContext.jsonRDD(RDD<String>, double)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>read().json()</code>.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/SQLContext.html#jsonRDD(org.apache.spark.rdd.RDD, org.apache.spark.sql.types.StructType)">org.apache.spark.sql.SQLContext.jsonRDD(RDD<String>, StructType)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>read().json()</code>.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/sql/SQLContext.html#load(java.lang.String)">org.apache.spark.sql.SQLContext.load(String)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>read().load(path)</code>.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/SQLContext.html#load(java.lang.String, java.util.Map)">org.apache.spark.sql.SQLContext.load(String, Map<String, String>)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>read().format(source).options(options).load()</code>.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/sql/SQLContext.html#load(java.lang.String, scala.collection.immutable.Map)">org.apache.spark.sql.SQLContext.load(String, Map<String, String>)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>read().format(source).options(options).load()</code>.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/SQLContext.html#load(java.lang.String, java.lang.String)">org.apache.spark.sql.SQLContext.load(String, String)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>read().format(source).load(path)</code>.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/sql/SQLContext.html#load(java.lang.String, org.apache.spark.sql.types.StructType, java.util.Map)">org.apache.spark.sql.SQLContext.load(String, StructType, Map<String, String>)</a>
<div class="block"><i>As of 1.4.0, replaced by
<code>read().format(source).schema(schema).options(options).load()</code>.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/SQLContext.html#load(java.lang.String, org.apache.spark.sql.types.StructType, scala.collection.immutable.Map)">org.apache.spark.sql.SQLContext.load(String, StructType, Map<String, String>)</a>
<div class="block"><i>As of 1.4.0, replaced by
<code>read().format(source).schema(schema).options(options).load()</code>.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/mllib/util/MLUtils.html#loadLabeledData(org.apache.spark.SparkContext, java.lang.String)">org.apache.spark.mllib.util.MLUtils.loadLabeledData(SparkContext, String)</a>
<div class="block"><i>Should use <a href="org/apache/spark/rdd/RDD.html#saveAsTextFile(java.lang.String)"><code>RDD.saveAsTextFile(java.lang.String)</code></a> for saving and
<a href="org/apache/spark/mllib/util/MLUtils.html#loadLabeledPoints(org.apache.spark.SparkContext, java.lang.String, int)"><code>MLUtils.loadLabeledPoints(org.apache.spark.SparkContext, java.lang.String, int)</code></a> for loading.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/streaming/StreamingContext.html#networkStream(org.apache.spark.streaming.receiver.Receiver, scala.reflect.ClassTag)">org.apache.spark.streaming.StreamingContext.networkStream(Receiver<T>, ClassTag<T>)</a>
<div class="block"><i>As of 1.0.0", replaced by <code>receiverStream</code>.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/sql/SQLContext.html#parquetFile(java.lang.String...)">org.apache.spark.sql.SQLContext.parquetFile(String...)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>read().parquet()</code>.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/streaming/api/java/JavaDStreamLike.html#reduceByWindow(scala.Function2, org.apache.spark.streaming.Duration, org.apache.spark.streaming.Duration)">org.apache.spark.streaming.api.java.JavaDStreamLike.reduceByWindow(Function2<T, T, T>, Duration, Duration)</a>
<div class="block"><i>As this API is not Java compatible.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/sql/DataFrame.html#save(java.lang.String)">org.apache.spark.sql.DataFrame.save(String)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>write().save(path)</code>.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/DataFrame.html#save(java.lang.String, org.apache.spark.sql.SaveMode)">org.apache.spark.sql.DataFrame.save(String, SaveMode)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>write().mode(mode).save(path)</code>.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/sql/DataFrame.html#save(java.lang.String, org.apache.spark.sql.SaveMode, java.util.Map)">org.apache.spark.sql.DataFrame.save(String, SaveMode, Map<String, String>)</a>
<div class="block"><i>As of 1.4.0, replaced by
<code>write().format(source).mode(mode).options(options).save(path)</code>.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/DataFrame.html#save(java.lang.String, org.apache.spark.sql.SaveMode, scala.collection.immutable.Map)">org.apache.spark.sql.DataFrame.save(String, SaveMode, Map<String, String>)</a>
<div class="block"><i>As of 1.4.0, replaced by
<code>write().format(source).mode(mode).options(options).save(path)</code>.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/sql/DataFrame.html#save(java.lang.String, java.lang.String)">org.apache.spark.sql.DataFrame.save(String, String)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>write().format(source).save(path)</code>.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/DataFrame.html#save(java.lang.String, java.lang.String, org.apache.spark.sql.SaveMode)">org.apache.spark.sql.DataFrame.save(String, String, SaveMode)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>write().format(source).mode(mode).save(path)</code>.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/sql/DataFrame.html#saveAsParquetFile(java.lang.String)">org.apache.spark.sql.DataFrame.saveAsParquetFile(String)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>write().parquet()</code>.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/DataFrame.html#saveAsTable(java.lang.String)">org.apache.spark.sql.DataFrame.saveAsTable(String)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>write().saveAsTable(tableName)</code>.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/sql/DataFrame.html#saveAsTable(java.lang.String, org.apache.spark.sql.SaveMode)">org.apache.spark.sql.DataFrame.saveAsTable(String, SaveMode)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>write().mode(mode).saveAsTable(tableName)</code>.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/DataFrame.html#saveAsTable(java.lang.String, java.lang.String)">org.apache.spark.sql.DataFrame.saveAsTable(String, String)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>write().format(source).saveAsTable(tableName)</code>.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/sql/DataFrame.html#saveAsTable(java.lang.String, java.lang.String, org.apache.spark.sql.SaveMode)">org.apache.spark.sql.DataFrame.saveAsTable(String, String, SaveMode)</a>
<div class="block"><i>As of 1.4.0, replaced by <code>write().mode(mode).saveAsTable(tableName)</code>.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/DataFrame.html#saveAsTable(java.lang.String, java.lang.String, org.apache.spark.sql.SaveMode, java.util.Map)">org.apache.spark.sql.DataFrame.saveAsTable(String, String, SaveMode, Map<String, String>)</a>
<div class="block"><i>As of 1.4.0, replaced by
<code>write().format(source).mode(mode).options(options).saveAsTable(tableName)</code>.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/sql/DataFrame.html#saveAsTable(java.lang.String, java.lang.String, org.apache.spark.sql.SaveMode, scala.collection.immutable.Map)">org.apache.spark.sql.DataFrame.saveAsTable(String, String, SaveMode, Map<String, String>)</a>
<div class="block"><i>As of 1.4.0, replaced by
<code>write().format(source).mode(mode).options(options).saveAsTable(tableName)</code>.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/mllib/util/MLUtils.html#saveLabeledData(org.apache.spark.rdd.RDD, java.lang.String)">org.apache.spark.mllib.util.MLUtils.saveLabeledData(RDD<LabeledPoint>, String)</a>
<div class="block"><i>Should use <a href="org/apache/spark/rdd/RDD.html#saveAsTextFile(java.lang.String)"><code>RDD.saveAsTextFile(java.lang.String)</code></a> for saving and
<a href="org/apache/spark/mllib/util/MLUtils.html#loadLabeledPoints(org.apache.spark.SparkContext, java.lang.String, int)"><code>MLUtils.loadLabeledPoints(org.apache.spark.SparkContext, java.lang.String, int)</code></a> for loading.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/streaming/api/java/JavaStreamingContext.html#sc()">org.apache.spark.streaming.api.java.JavaStreamingContext.sc()</a>
<div class="block"><i>As of 0.9.0, replaced by <code>sparkContext</code></i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/mllib/optimization/LBFGS.html#setMaxNumIterations(int)">org.apache.spark.mllib.optimization.LBFGS.setMaxNumIterations(int)</a>
<div class="block"><i>use <a href="org/apache/spark/mllib/optimization/LBFGS.html#setNumIterations(int)"><code>LBFGS.setNumIterations(int)</code></a> instead</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/ml/evaluation/BinaryClassificationEvaluator.html#setScoreCol(java.lang.String)">org.apache.spark.ml.evaluation.BinaryClassificationEvaluator.setScoreCol(String)</a>
<div class="block"><i>use <code>setRawPredictionCol()</code> instead</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/api/java/JavaRDDLike.html#toArray()">org.apache.spark.api.java.JavaRDDLike.toArray()</a>
<div class="block"><i>As of Spark 1.0.0, toArray() is deprecated, use <a href="org/apache/spark/api/java/JavaRDDLike.html#collect()"><code>JavaRDDLike.collect()</code></a> instead</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/streaming/StreamingContext.html#toPairDStreamFunctions(org.apache.spark.streaming.dstream.DStream, scala.reflect.ClassTag, scala.reflect.ClassTag, scala.math.Ordering)">org.apache.spark.streaming.StreamingContext.toPairDStreamFunctions(DStream<Tuple2<K, V>>, ClassTag<K>, ClassTag<V>, Ordering<K>)</a>
<div class="block"><i>As of 1.3.0, replaced by implicit functions in the DStream companion object.
This is kept here only for backward compatibility.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/sql/DataFrame.html#toSchemaRDD()">org.apache.spark.sql.DataFrame.toSchemaRDD()</a>
<div class="block"><i>As of 1.3.0, replaced by <code>toDF()</code>.</i></div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><a href="org/apache/spark/mllib/rdd/RDDFunctions.html#treeAggregate(U, scala.Function2, scala.Function2, int, scala.reflect.ClassTag)">org.apache.spark.mllib.rdd.RDDFunctions.treeAggregate(U, Function2<U, T, U>, Function2<U, U, U>, int, ClassTag<U>)</a>
<div class="block"><i>Use <a href="org/apache/spark/rdd/RDD.html#treeAggregate(U, scala.Function2, scala.Function2, int, scala.reflect.ClassTag)"><code>RDD.treeAggregate(U, scala.Function2<U, T, U>, scala.Function2<U, U, U>, int, scala.reflect.ClassTag<U>)</code></a> instead.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="org/apache/spark/mllib/rdd/RDDFunctions.html#treeReduce(scala.Function2, int)">org.apache.spark.mllib.rdd.RDDFunctions.treeReduce(Function2<T, T, T>, int)</a>
<div class="block"><i>Use <a href="org/apache/spark/rdd/RDD.html#treeReduce(scala.Function2, int)"><code>RDD.treeReduce(scala.Function2<T, T, T>, int)</code></a> instead.</i></div>
</td>
</tr>
</tbody>
</table>
</li>
</ul>
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