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Posted to commits@spark.apache.org by sr...@apache.org on 2018/02/28 18:49:53 UTC

[47/51] [partial] spark-website git commit: Apache Spark 2.3.0 Release: Generated Docs

http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/attach.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: Attach SparkDataFrame to R search path</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js"></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for attach,SparkDataFrame-method {SparkR}"><tr><td>attach,SparkDataFrame-method {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Attach SparkDataFrame to R search path</h2>
+
+<h3>Description</h3>
+
+<p>The specified SparkDataFrame is attached to the R search path. This means that
+the SparkDataFrame is searched by R when evaluating a variable, so columns in
+the SparkDataFrame can be accessed by simply giving their names.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'SparkDataFrame'
+attach(what, pos = 2L,
+  name = deparse(substitute(what), backtick = FALSE), warn.conflicts = TRUE)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>what</code></td>
+<td>
+<p>(SparkDataFrame) The SparkDataFrame to attach</p>
+</td></tr>
+<tr valign="top"><td><code>pos</code></td>
+<td>
+<p>(integer) Specify position in search() where to attach.</p>
+</td></tr>
+<tr valign="top"><td><code>name</code></td>
+<td>
+<p>(character) Name to use for the attached SparkDataFrame. Names
+starting with package: are reserved for library.</p>
+</td></tr>
+<tr valign="top"><td><code>warn.conflicts</code></td>
+<td>
+<p>(logical) If TRUE, warnings are printed about conflicts
+from attaching the database, unless that SparkDataFrame contains an object</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>attach since 1.6.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="../../base/html/detach.html">detach</a>
+</p>
+<p>Other SparkDataFrame functions: <code><a href="SparkDataFrame.html">SparkDataFrame-class</a></code>,
+<code><a href="summarize.html">agg</a></code>, <code><a href="alias.html">alias</a></code>,
+<code><a href="arrange.html">arrange</a></code>, <code><a href="as.data.frame.html">as.data.frame</a></code>,
+<code><a href="broadcast.html">broadcast</a></code>, <code><a href="cache.html">cache</a></code>,
+<code><a href="checkpoint.html">checkpoint</a></code>, <code><a href="coalesce.html">coalesce</a></code>,
+<code><a href="collect.html">collect</a></code>, <code><a href="columns.html">colnames</a></code>,
+<code><a href="coltypes.html">coltypes</a></code>,
+<code><a href="createOrReplaceTempView.html">createOrReplaceTempView</a></code>,
+<code><a href="crossJoin.html">crossJoin</a></code>, <code><a href="cube.html">cube</a></code>,
+<code><a href="dapplyCollect.html">dapplyCollect</a></code>, <code><a href="dapply.html">dapply</a></code>,
+<code><a href="describe.html">describe</a></code>, <code><a href="dim.html">dim</a></code>,
+<code><a href="distinct.html">distinct</a></code>, <code><a href="dropDuplicates.html">dropDuplicates</a></code>,
+<code><a href="nafunctions.html">dropna</a></code>, <code><a href="drop.html">drop</a></code>,
+<code><a href="dtypes.html">dtypes</a></code>, <code><a href="except.html">except</a></code>,
+<code><a href="explain.html">explain</a></code>, <code><a href="filter.html">filter</a></code>,
+<code><a href="first.html">first</a></code>, <code><a href="gapplyCollect.html">gapplyCollect</a></code>,
+<code><a href="gapply.html">gapply</a></code>, <code><a href="getNumPartitions.html">getNumPartitions</a></code>,
+<code><a href="groupBy.html">group_by</a></code>, <code><a href="head.html">head</a></code>,
+<code><a href="hint.html">hint</a></code>, <code><a href="histogram.html">histogram</a></code>,
+<code><a href="insertInto.html">insertInto</a></code>, <code><a href="intersect.html">intersect</a></code>,
+<code><a href="isLocal.html">isLocal</a></code>, <code><a href="isStreaming.html">isStreaming</a></code>,
+<code><a href="join.html">join</a></code>, <code><a href="limit.html">limit</a></code>,
+<code><a href="localCheckpoint.html">localCheckpoint</a></code>, <code><a href="merge.html">merge</a></code>,
+<code><a href="mutate.html">mutate</a></code>, <code><a href="ncol.html">ncol</a></code>,
+<code><a href="nrow.html">nrow</a></code>, <code><a href="persist.html">persist</a></code>,
+<code><a href="printSchema.html">printSchema</a></code>, <code><a href="randomSplit.html">randomSplit</a></code>,
+<code><a href="rbind.html">rbind</a></code>, <code><a href="registerTempTable-deprecated.html">registerTempTable</a></code>,
+<code><a href="rename.html">rename</a></code>, <code><a href="repartition.html">repartition</a></code>,
+<code><a href="rollup.html">rollup</a></code>, <code><a href="sample.html">sample</a></code>,
+<code><a href="saveAsTable.html">saveAsTable</a></code>, <code><a href="schema.html">schema</a></code>,
+<code><a href="selectExpr.html">selectExpr</a></code>, <code><a href="select.html">select</a></code>,
+<code><a href="showDF.html">showDF</a></code>, <code><a href="show.html">show</a></code>,
+<code><a href="storageLevel.html">storageLevel</a></code>, <code><a href="str.html">str</a></code>,
+<code><a href="subset.html">subset</a></code>, <code><a href="summary.html">summary</a></code>,
+<code><a href="take.html">take</a></code>, <code><a href="toJSON.html">toJSON</a></code>,
+<code><a href="unionByName.html">unionByName</a></code>, <code><a href="union.html">union</a></code>,
+<code><a href="unpersist.html">unpersist</a></code>, <code><a href="withColumn.html">withColumn</a></code>,
+<code><a href="withWatermark.html">withWatermark</a></code>, <code><a href="with.html">with</a></code>,
+<code><a href="write.df.html">write.df</a></code>, <code><a href="write.jdbc.html">write.jdbc</a></code>,
+<code><a href="write.json.html">write.json</a></code>, <code><a href="write.orc.html">write.orc</a></code>,
+<code><a href="write.parquet.html">write.parquet</a></code>, <code><a href="write.stream.html">write.stream</a></code>,
+<code><a href="write.text.html">write.text</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D attach(irisDf)
+##D summary(Sepal_Width)
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/avg.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: avg</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js"></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for avg {SparkR}"><tr><td>avg {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>avg</h2>
+
+<h3>Description</h3>
+
+<p>Aggregate function: returns the average of the values in a group.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+avg(x, ...)
+
+## S4 method for signature 'Column'
+avg(x)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>Column to compute on or a GroupedData object.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional argument(s) when <code>x</code> is a GroupedData object.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>avg since 1.4.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other aggregate functions: <code><a href="column_aggregate_functions.html">column_aggregate_functions</a></code>,
+<code><a href="corr.html">corr</a></code>, <code><a href="count.html">count</a></code>,
+<code><a href="cov.html">cov</a></code>, <code><a href="first.html">first</a></code>,
+<code><a href="last.html">last</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: avg(df$c)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/awaitTermination.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: awaitTermination</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js"></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for awaitTermination {SparkR}"><tr><td>awaitTermination {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>awaitTermination</h2>
+
+<h3>Description</h3>
+
+<p>Waits for the termination of the query, either by <code>stopQuery</code> or by an error.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+awaitTermination(x, timeout = NULL)
+
+## S4 method for signature 'StreamingQuery'
+awaitTermination(x, timeout = NULL)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a StreamingQuery.</p>
+</td></tr>
+<tr valign="top"><td><code>timeout</code></td>
+<td>
+<p>time to wait in milliseconds, if omitted, wait indefinitely until <code>stopQuery</code>
+is called or an error has occured.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>If the query has terminated, then all subsequent calls to this method will return TRUE
+immediately.
+</p>
+
+
+<h3>Value</h3>
+
+<p>TRUE if query has terminated within the timeout period; nothing if timeout is not
+specified.
+</p>
+
+
+<h3>Note</h3>
+
+<p>awaitTermination(StreamingQuery) since 2.2.0
+</p>
+<p>experimental
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other StreamingQuery methods: <code><a href="explain.html">explain</a></code>,
+<code><a href="isActive.html">isActive</a></code>, <code><a href="lastProgress.html">lastProgress</a></code>,
+<code><a href="queryName.html">queryName</a></code>, <code><a href="status.html">status</a></code>,
+<code><a href="stopQuery.html">stopQuery</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:  awaitTermination(sq, 10000) 
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/between.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: between</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+</head><body>
+
+<table width="100%" summary="page for between {SparkR}"><tr><td>between {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>between</h2>
+
+<h3>Description</h3>
+
+<p>Test if the column is between the lower bound and upper bound, inclusive.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+between(x, bounds)
+
+## S4 method for signature 'Column'
+between(x, bounds)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a Column</p>
+</td></tr>
+<tr valign="top"><td><code>bounds</code></td>
+<td>
+<p>lower and upper bounds</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>between since 1.5.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other colum_func: <code><a href="alias.html">alias</a></code>, <code><a href="cast.html">cast</a></code>,
+<code><a href="endsWith.html">endsWith</a></code>, <code><a href="otherwise.html">otherwise</a></code>,
+<code><a href="over.html">over</a></code>, <code><a href="startsWith.html">startsWith</a></code>,
+<code><a href="substr.html">substr</a></code>
+</p>
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/broadcast.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: broadcast</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js"></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for broadcast {SparkR}"><tr><td>broadcast {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>broadcast</h2>
+
+<h3>Description</h3>
+
+<p>Return a new SparkDataFrame marked as small enough for use in broadcast joins.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+broadcast(x)
+
+## S4 method for signature 'SparkDataFrame'
+broadcast(x)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a SparkDataFrame.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>Equivalent to <code>hint(x, "broadcast")</code>.
+</p>
+
+
+<h3>Value</h3>
+
+<p>a SparkDataFrame.
+</p>
+
+
+<h3>Note</h3>
+
+<p>broadcast since 2.3.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other SparkDataFrame functions: <code><a href="SparkDataFrame.html">SparkDataFrame-class</a></code>,
+<code><a href="summarize.html">agg</a></code>, <code><a href="alias.html">alias</a></code>,
+<code><a href="arrange.html">arrange</a></code>, <code><a href="as.data.frame.html">as.data.frame</a></code>,
+<code><a href="attach.html">attach,SparkDataFrame-method</a></code>,
+<code><a href="cache.html">cache</a></code>, <code><a href="checkpoint.html">checkpoint</a></code>,
+<code><a href="coalesce.html">coalesce</a></code>, <code><a href="collect.html">collect</a></code>,
+<code><a href="columns.html">colnames</a></code>, <code><a href="coltypes.html">coltypes</a></code>,
+<code><a href="createOrReplaceTempView.html">createOrReplaceTempView</a></code>,
+<code><a href="crossJoin.html">crossJoin</a></code>, <code><a href="cube.html">cube</a></code>,
+<code><a href="dapplyCollect.html">dapplyCollect</a></code>, <code><a href="dapply.html">dapply</a></code>,
+<code><a href="describe.html">describe</a></code>, <code><a href="dim.html">dim</a></code>,
+<code><a href="distinct.html">distinct</a></code>, <code><a href="dropDuplicates.html">dropDuplicates</a></code>,
+<code><a href="nafunctions.html">dropna</a></code>, <code><a href="drop.html">drop</a></code>,
+<code><a href="dtypes.html">dtypes</a></code>, <code><a href="except.html">except</a></code>,
+<code><a href="explain.html">explain</a></code>, <code><a href="filter.html">filter</a></code>,
+<code><a href="first.html">first</a></code>, <code><a href="gapplyCollect.html">gapplyCollect</a></code>,
+<code><a href="gapply.html">gapply</a></code>, <code><a href="getNumPartitions.html">getNumPartitions</a></code>,
+<code><a href="groupBy.html">group_by</a></code>, <code><a href="head.html">head</a></code>,
+<code><a href="hint.html">hint</a></code>, <code><a href="histogram.html">histogram</a></code>,
+<code><a href="insertInto.html">insertInto</a></code>, <code><a href="intersect.html">intersect</a></code>,
+<code><a href="isLocal.html">isLocal</a></code>, <code><a href="isStreaming.html">isStreaming</a></code>,
+<code><a href="join.html">join</a></code>, <code><a href="limit.html">limit</a></code>,
+<code><a href="localCheckpoint.html">localCheckpoint</a></code>, <code><a href="merge.html">merge</a></code>,
+<code><a href="mutate.html">mutate</a></code>, <code><a href="ncol.html">ncol</a></code>,
+<code><a href="nrow.html">nrow</a></code>, <code><a href="persist.html">persist</a></code>,
+<code><a href="printSchema.html">printSchema</a></code>, <code><a href="randomSplit.html">randomSplit</a></code>,
+<code><a href="rbind.html">rbind</a></code>, <code><a href="registerTempTable-deprecated.html">registerTempTable</a></code>,
+<code><a href="rename.html">rename</a></code>, <code><a href="repartition.html">repartition</a></code>,
+<code><a href="rollup.html">rollup</a></code>, <code><a href="sample.html">sample</a></code>,
+<code><a href="saveAsTable.html">saveAsTable</a></code>, <code><a href="schema.html">schema</a></code>,
+<code><a href="selectExpr.html">selectExpr</a></code>, <code><a href="select.html">select</a></code>,
+<code><a href="showDF.html">showDF</a></code>, <code><a href="show.html">show</a></code>,
+<code><a href="storageLevel.html">storageLevel</a></code>, <code><a href="str.html">str</a></code>,
+<code><a href="subset.html">subset</a></code>, <code><a href="summary.html">summary</a></code>,
+<code><a href="take.html">take</a></code>, <code><a href="toJSON.html">toJSON</a></code>,
+<code><a href="unionByName.html">unionByName</a></code>, <code><a href="union.html">union</a></code>,
+<code><a href="unpersist.html">unpersist</a></code>, <code><a href="withColumn.html">withColumn</a></code>,
+<code><a href="withWatermark.html">withWatermark</a></code>, <code><a href="with.html">with</a></code>,
+<code><a href="write.df.html">write.df</a></code>, <code><a href="write.jdbc.html">write.jdbc</a></code>,
+<code><a href="write.json.html">write.json</a></code>, <code><a href="write.orc.html">write.orc</a></code>,
+<code><a href="write.parquet.html">write.parquet</a></code>, <code><a href="write.stream.html">write.stream</a></code>,
+<code><a href="write.text.html">write.text</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D df &lt;- createDataFrame(mtcars)
+##D avg_mpg &lt;- mean(groupBy(createDataFrame(mtcars), &quot;cyl&quot;), &quot;mpg&quot;)
+##D 
+##D head(join(df, broadcast(avg_mpg), df$cyl == avg_mpg$cyl))
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/cache.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: Cache</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js"></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for cache {SparkR}"><tr><td>cache {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Cache</h2>
+
+<h3>Description</h3>
+
+<p>Persist with the default storage level (MEMORY_ONLY).
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+cache(x)
+
+## S4 method for signature 'SparkDataFrame'
+cache(x)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>A SparkDataFrame</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>cache since 1.4.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other SparkDataFrame functions: <code><a href="SparkDataFrame.html">SparkDataFrame-class</a></code>,
+<code><a href="summarize.html">agg</a></code>, <code><a href="alias.html">alias</a></code>,
+<code><a href="arrange.html">arrange</a></code>, <code><a href="as.data.frame.html">as.data.frame</a></code>,
+<code><a href="attach.html">attach,SparkDataFrame-method</a></code>,
+<code><a href="broadcast.html">broadcast</a></code>, <code><a href="checkpoint.html">checkpoint</a></code>,
+<code><a href="coalesce.html">coalesce</a></code>, <code><a href="collect.html">collect</a></code>,
+<code><a href="columns.html">colnames</a></code>, <code><a href="coltypes.html">coltypes</a></code>,
+<code><a href="createOrReplaceTempView.html">createOrReplaceTempView</a></code>,
+<code><a href="crossJoin.html">crossJoin</a></code>, <code><a href="cube.html">cube</a></code>,
+<code><a href="dapplyCollect.html">dapplyCollect</a></code>, <code><a href="dapply.html">dapply</a></code>,
+<code><a href="describe.html">describe</a></code>, <code><a href="dim.html">dim</a></code>,
+<code><a href="distinct.html">distinct</a></code>, <code><a href="dropDuplicates.html">dropDuplicates</a></code>,
+<code><a href="nafunctions.html">dropna</a></code>, <code><a href="drop.html">drop</a></code>,
+<code><a href="dtypes.html">dtypes</a></code>, <code><a href="except.html">except</a></code>,
+<code><a href="explain.html">explain</a></code>, <code><a href="filter.html">filter</a></code>,
+<code><a href="first.html">first</a></code>, <code><a href="gapplyCollect.html">gapplyCollect</a></code>,
+<code><a href="gapply.html">gapply</a></code>, <code><a href="getNumPartitions.html">getNumPartitions</a></code>,
+<code><a href="groupBy.html">group_by</a></code>, <code><a href="head.html">head</a></code>,
+<code><a href="hint.html">hint</a></code>, <code><a href="histogram.html">histogram</a></code>,
+<code><a href="insertInto.html">insertInto</a></code>, <code><a href="intersect.html">intersect</a></code>,
+<code><a href="isLocal.html">isLocal</a></code>, <code><a href="isStreaming.html">isStreaming</a></code>,
+<code><a href="join.html">join</a></code>, <code><a href="limit.html">limit</a></code>,
+<code><a href="localCheckpoint.html">localCheckpoint</a></code>, <code><a href="merge.html">merge</a></code>,
+<code><a href="mutate.html">mutate</a></code>, <code><a href="ncol.html">ncol</a></code>,
+<code><a href="nrow.html">nrow</a></code>, <code><a href="persist.html">persist</a></code>,
+<code><a href="printSchema.html">printSchema</a></code>, <code><a href="randomSplit.html">randomSplit</a></code>,
+<code><a href="rbind.html">rbind</a></code>, <code><a href="registerTempTable-deprecated.html">registerTempTable</a></code>,
+<code><a href="rename.html">rename</a></code>, <code><a href="repartition.html">repartition</a></code>,
+<code><a href="rollup.html">rollup</a></code>, <code><a href="sample.html">sample</a></code>,
+<code><a href="saveAsTable.html">saveAsTable</a></code>, <code><a href="schema.html">schema</a></code>,
+<code><a href="selectExpr.html">selectExpr</a></code>, <code><a href="select.html">select</a></code>,
+<code><a href="showDF.html">showDF</a></code>, <code><a href="show.html">show</a></code>,
+<code><a href="storageLevel.html">storageLevel</a></code>, <code><a href="str.html">str</a></code>,
+<code><a href="subset.html">subset</a></code>, <code><a href="summary.html">summary</a></code>,
+<code><a href="take.html">take</a></code>, <code><a href="toJSON.html">toJSON</a></code>,
+<code><a href="unionByName.html">unionByName</a></code>, <code><a href="union.html">union</a></code>,
+<code><a href="unpersist.html">unpersist</a></code>, <code><a href="withColumn.html">withColumn</a></code>,
+<code><a href="withWatermark.html">withWatermark</a></code>, <code><a href="with.html">with</a></code>,
+<code><a href="write.df.html">write.df</a></code>, <code><a href="write.jdbc.html">write.jdbc</a></code>,
+<code><a href="write.json.html">write.json</a></code>, <code><a href="write.orc.html">write.orc</a></code>,
+<code><a href="write.parquet.html">write.parquet</a></code>, <code><a href="write.stream.html">write.stream</a></code>,
+<code><a href="write.text.html">write.text</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D sparkR.session()
+##D path &lt;- &quot;path/to/file.json&quot;
+##D df &lt;- read.json(path)
+##D cache(df)
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/cacheTable.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: Cache Table</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js"></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for cacheTable {SparkR}"><tr><td>cacheTable {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Cache Table</h2>
+
+<h3>Description</h3>
+
+<p>Caches the specified table in-memory.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## Default S3 method:
+cacheTable(tableName)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>tableName</code></td>
+<td>
+<p>the qualified or unqualified name that designates a table. If no database
+identifier is provided, it refers to a table in the current database.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>SparkDataFrame
+</p>
+
+
+<h3>Note</h3>
+
+<p>cacheTable since 1.4.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D sparkR.session()
+##D path &lt;- &quot;path/to/file.json&quot;
+##D df &lt;- read.json(path)
+##D createOrReplaceTempView(df, &quot;table&quot;)
+##D cacheTable(&quot;table&quot;)
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/cancelJobGroup.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: Cancel active jobs for the specified group</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js"></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for cancelJobGroup {SparkR}"><tr><td>cancelJobGroup {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Cancel active jobs for the specified group</h2>
+
+<h3>Description</h3>
+
+<p>Cancel active jobs for the specified group
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## Default S3 method:
+cancelJobGroup(groupId)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>groupId</code></td>
+<td>
+<p>the ID of job group to be cancelled</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>cancelJobGroup since 1.5.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D sparkR.session()
+##D cancelJobGroup(&quot;myJobGroup&quot;)
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/cast.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: Casts the column to a different data type.</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js"></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for cast {SparkR}"><tr><td>cast {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Casts the column to a different data type.</h2>
+
+<h3>Description</h3>
+
+<p>Casts the column to a different data type.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+cast(x, dataType)
+
+## S4 method for signature 'Column'
+cast(x, dataType)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a Column.</p>
+</td></tr>
+<tr valign="top"><td><code>dataType</code></td>
+<td>
+<p>a character object describing the target data type.
+See
+<a href="https://spark.apache.org/docs/latest/sparkr.html#data-type-mapping-between-r-and-spark">
+Spark Data Types</a> for available data types.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>cast since 1.4.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other colum_func: <code><a href="alias.html">alias</a></code>,
+<code><a href="between.html">between</a></code>, <code><a href="endsWith.html">endsWith</a></code>,
+<code><a href="otherwise.html">otherwise</a></code>, <code><a href="over.html">over</a></code>,
+<code><a href="startsWith.html">startsWith</a></code>, <code><a href="substr.html">substr</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D   cast(df$age, &quot;string&quot;)
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/checkpoint.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: checkpoint</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js"></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for checkpoint {SparkR}"><tr><td>checkpoint {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>checkpoint</h2>
+
+<h3>Description</h3>
+
+<p>Returns a checkpointed version of this SparkDataFrame. Checkpointing can be used to truncate the
+logical plan, which is especially useful in iterative algorithms where the plan may grow
+exponentially. It will be saved to files inside the checkpoint directory set with
+<code>setCheckpointDir</code>
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+checkpoint(x, eager = TRUE)
+
+## S4 method for signature 'SparkDataFrame'
+checkpoint(x, eager = TRUE)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>A SparkDataFrame</p>
+</td></tr>
+<tr valign="top"><td><code>eager</code></td>
+<td>
+<p>whether to checkpoint this SparkDataFrame immediately</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>a new checkpointed SparkDataFrame
+</p>
+
+
+<h3>Note</h3>
+
+<p>checkpoint since 2.2.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="setCheckpointDir.html">setCheckpointDir</a>
+</p>
+<p>Other SparkDataFrame functions: <code><a href="SparkDataFrame.html">SparkDataFrame-class</a></code>,
+<code><a href="summarize.html">agg</a></code>, <code><a href="alias.html">alias</a></code>,
+<code><a href="arrange.html">arrange</a></code>, <code><a href="as.data.frame.html">as.data.frame</a></code>,
+<code><a href="attach.html">attach,SparkDataFrame-method</a></code>,
+<code><a href="broadcast.html">broadcast</a></code>, <code><a href="cache.html">cache</a></code>,
+<code><a href="coalesce.html">coalesce</a></code>, <code><a href="collect.html">collect</a></code>,
+<code><a href="columns.html">colnames</a></code>, <code><a href="coltypes.html">coltypes</a></code>,
+<code><a href="createOrReplaceTempView.html">createOrReplaceTempView</a></code>,
+<code><a href="crossJoin.html">crossJoin</a></code>, <code><a href="cube.html">cube</a></code>,
+<code><a href="dapplyCollect.html">dapplyCollect</a></code>, <code><a href="dapply.html">dapply</a></code>,
+<code><a href="describe.html">describe</a></code>, <code><a href="dim.html">dim</a></code>,
+<code><a href="distinct.html">distinct</a></code>, <code><a href="dropDuplicates.html">dropDuplicates</a></code>,
+<code><a href="nafunctions.html">dropna</a></code>, <code><a href="drop.html">drop</a></code>,
+<code><a href="dtypes.html">dtypes</a></code>, <code><a href="except.html">except</a></code>,
+<code><a href="explain.html">explain</a></code>, <code><a href="filter.html">filter</a></code>,
+<code><a href="first.html">first</a></code>, <code><a href="gapplyCollect.html">gapplyCollect</a></code>,
+<code><a href="gapply.html">gapply</a></code>, <code><a href="getNumPartitions.html">getNumPartitions</a></code>,
+<code><a href="groupBy.html">group_by</a></code>, <code><a href="head.html">head</a></code>,
+<code><a href="hint.html">hint</a></code>, <code><a href="histogram.html">histogram</a></code>,
+<code><a href="insertInto.html">insertInto</a></code>, <code><a href="intersect.html">intersect</a></code>,
+<code><a href="isLocal.html">isLocal</a></code>, <code><a href="isStreaming.html">isStreaming</a></code>,
+<code><a href="join.html">join</a></code>, <code><a href="limit.html">limit</a></code>,
+<code><a href="localCheckpoint.html">localCheckpoint</a></code>, <code><a href="merge.html">merge</a></code>,
+<code><a href="mutate.html">mutate</a></code>, <code><a href="ncol.html">ncol</a></code>,
+<code><a href="nrow.html">nrow</a></code>, <code><a href="persist.html">persist</a></code>,
+<code><a href="printSchema.html">printSchema</a></code>, <code><a href="randomSplit.html">randomSplit</a></code>,
+<code><a href="rbind.html">rbind</a></code>, <code><a href="registerTempTable-deprecated.html">registerTempTable</a></code>,
+<code><a href="rename.html">rename</a></code>, <code><a href="repartition.html">repartition</a></code>,
+<code><a href="rollup.html">rollup</a></code>, <code><a href="sample.html">sample</a></code>,
+<code><a href="saveAsTable.html">saveAsTable</a></code>, <code><a href="schema.html">schema</a></code>,
+<code><a href="selectExpr.html">selectExpr</a></code>, <code><a href="select.html">select</a></code>,
+<code><a href="showDF.html">showDF</a></code>, <code><a href="show.html">show</a></code>,
+<code><a href="storageLevel.html">storageLevel</a></code>, <code><a href="str.html">str</a></code>,
+<code><a href="subset.html">subset</a></code>, <code><a href="summary.html">summary</a></code>,
+<code><a href="take.html">take</a></code>, <code><a href="toJSON.html">toJSON</a></code>,
+<code><a href="unionByName.html">unionByName</a></code>, <code><a href="union.html">union</a></code>,
+<code><a href="unpersist.html">unpersist</a></code>, <code><a href="withColumn.html">withColumn</a></code>,
+<code><a href="withWatermark.html">withWatermark</a></code>, <code><a href="with.html">with</a></code>,
+<code><a href="write.df.html">write.df</a></code>, <code><a href="write.jdbc.html">write.jdbc</a></code>,
+<code><a href="write.json.html">write.json</a></code>, <code><a href="write.orc.html">write.orc</a></code>,
+<code><a href="write.parquet.html">write.parquet</a></code>, <code><a href="write.stream.html">write.stream</a></code>,
+<code><a href="write.text.html">write.text</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D setCheckpointDir(&quot;/checkpoint&quot;)
+##D df &lt;- checkpoint(df)
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/clearCache.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: Clear Cache</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js"></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for clearCache {SparkR}"><tr><td>clearCache {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Clear Cache</h2>
+
+<h3>Description</h3>
+
+<p>Removes all cached tables from the in-memory cache.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## Default S3 method:
+clearCache()
+</pre>
+
+
+<h3>Note</h3>
+
+<p>clearCache since 1.4.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D clearCache()
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/clearJobGroup.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: Clear current job group ID and its description</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js"></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for clearJobGroup {SparkR}"><tr><td>clearJobGroup {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Clear current job group ID and its description</h2>
+
+<h3>Description</h3>
+
+<p>Clear current job group ID and its description
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## Default S3 method:
+clearJobGroup()
+</pre>
+
+
+<h3>Note</h3>
+
+<p>clearJobGroup since 1.5.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D sparkR.session()
+##D clearJobGroup()
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/coalesce.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: Coalesce</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js"></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for coalesce {SparkR}"><tr><td>coalesce {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Coalesce</h2>
+
+<h3>Description</h3>
+
+<p>Returns a new SparkDataFrame that has exactly <code>numPartitions</code> partitions.
+This operation results in a narrow dependency, e.g. if you go from 1000 partitions to 100
+partitions, there will not be a shuffle, instead each of the 100 new partitions will claim 10 of
+the current partitions. If a larger number of partitions is requested, it will stay at the
+current number of partitions.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+coalesce(x, ...)
+
+## S4 method for signature 'SparkDataFrame'
+coalesce(x, numPartitions)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a SparkDataFrame.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional argument(s).</p>
+</td></tr>
+<tr valign="top"><td><code>numPartitions</code></td>
+<td>
+<p>the number of partitions to use.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>However, if you're doing a drastic coalesce on a SparkDataFrame, e.g. to numPartitions = 1,
+this may result in your computation taking place on fewer nodes than
+you like (e.g. one node in the case of numPartitions = 1). To avoid this,
+call <code>repartition</code>. This will add a shuffle step, but means the
+current upstream partitions will be executed in parallel (per whatever
+the current partitioning is).
+</p>
+
+
+<h3>Note</h3>
+
+<p>coalesce(SparkDataFrame) since 2.1.1
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="repartition.html">repartition</a>
+</p>
+<p>Other SparkDataFrame functions: <code><a href="SparkDataFrame.html">SparkDataFrame-class</a></code>,
+<code><a href="summarize.html">agg</a></code>, <code><a href="alias.html">alias</a></code>,
+<code><a href="arrange.html">arrange</a></code>, <code><a href="as.data.frame.html">as.data.frame</a></code>,
+<code><a href="attach.html">attach,SparkDataFrame-method</a></code>,
+<code><a href="broadcast.html">broadcast</a></code>, <code><a href="cache.html">cache</a></code>,
+<code><a href="checkpoint.html">checkpoint</a></code>, <code><a href="collect.html">collect</a></code>,
+<code><a href="columns.html">colnames</a></code>, <code><a href="coltypes.html">coltypes</a></code>,
+<code><a href="createOrReplaceTempView.html">createOrReplaceTempView</a></code>,
+<code><a href="crossJoin.html">crossJoin</a></code>, <code><a href="cube.html">cube</a></code>,
+<code><a href="dapplyCollect.html">dapplyCollect</a></code>, <code><a href="dapply.html">dapply</a></code>,
+<code><a href="describe.html">describe</a></code>, <code><a href="dim.html">dim</a></code>,
+<code><a href="distinct.html">distinct</a></code>, <code><a href="dropDuplicates.html">dropDuplicates</a></code>,
+<code><a href="nafunctions.html">dropna</a></code>, <code><a href="drop.html">drop</a></code>,
+<code><a href="dtypes.html">dtypes</a></code>, <code><a href="except.html">except</a></code>,
+<code><a href="explain.html">explain</a></code>, <code><a href="filter.html">filter</a></code>,
+<code><a href="first.html">first</a></code>, <code><a href="gapplyCollect.html">gapplyCollect</a></code>,
+<code><a href="gapply.html">gapply</a></code>, <code><a href="getNumPartitions.html">getNumPartitions</a></code>,
+<code><a href="groupBy.html">group_by</a></code>, <code><a href="head.html">head</a></code>,
+<code><a href="hint.html">hint</a></code>, <code><a href="histogram.html">histogram</a></code>,
+<code><a href="insertInto.html">insertInto</a></code>, <code><a href="intersect.html">intersect</a></code>,
+<code><a href="isLocal.html">isLocal</a></code>, <code><a href="isStreaming.html">isStreaming</a></code>,
+<code><a href="join.html">join</a></code>, <code><a href="limit.html">limit</a></code>,
+<code><a href="localCheckpoint.html">localCheckpoint</a></code>, <code><a href="merge.html">merge</a></code>,
+<code><a href="mutate.html">mutate</a></code>, <code><a href="ncol.html">ncol</a></code>,
+<code><a href="nrow.html">nrow</a></code>, <code><a href="persist.html">persist</a></code>,
+<code><a href="printSchema.html">printSchema</a></code>, <code><a href="randomSplit.html">randomSplit</a></code>,
+<code><a href="rbind.html">rbind</a></code>, <code><a href="registerTempTable-deprecated.html">registerTempTable</a></code>,
+<code><a href="rename.html">rename</a></code>, <code><a href="repartition.html">repartition</a></code>,
+<code><a href="rollup.html">rollup</a></code>, <code><a href="sample.html">sample</a></code>,
+<code><a href="saveAsTable.html">saveAsTable</a></code>, <code><a href="schema.html">schema</a></code>,
+<code><a href="selectExpr.html">selectExpr</a></code>, <code><a href="select.html">select</a></code>,
+<code><a href="showDF.html">showDF</a></code>, <code><a href="show.html">show</a></code>,
+<code><a href="storageLevel.html">storageLevel</a></code>, <code><a href="str.html">str</a></code>,
+<code><a href="subset.html">subset</a></code>, <code><a href="summary.html">summary</a></code>,
+<code><a href="take.html">take</a></code>, <code><a href="toJSON.html">toJSON</a></code>,
+<code><a href="unionByName.html">unionByName</a></code>, <code><a href="union.html">union</a></code>,
+<code><a href="unpersist.html">unpersist</a></code>, <code><a href="withColumn.html">withColumn</a></code>,
+<code><a href="withWatermark.html">withWatermark</a></code>, <code><a href="with.html">with</a></code>,
+<code><a href="write.df.html">write.df</a></code>, <code><a href="write.jdbc.html">write.jdbc</a></code>,
+<code><a href="write.json.html">write.json</a></code>, <code><a href="write.orc.html">write.orc</a></code>,
+<code><a href="write.parquet.html">write.parquet</a></code>, <code><a href="write.stream.html">write.stream</a></code>,
+<code><a href="write.text.html">write.text</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D sparkR.session()
+##D path &lt;- &quot;path/to/file.json&quot;
+##D df &lt;- read.json(path)
+##D newDF &lt;- coalesce(df, 1L)
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/collect.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: Collects all the elements of a SparkDataFrame and coerces...</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js"></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for collect {SparkR}"><tr><td>collect {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Collects all the elements of a SparkDataFrame and coerces them into an R data.frame.</h2>
+
+<h3>Description</h3>
+
+<p>Collects all the elements of a SparkDataFrame and coerces them into an R data.frame.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+collect(x, ...)
+
+## S4 method for signature 'SparkDataFrame'
+collect(x, stringsAsFactors = FALSE)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a SparkDataFrame.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>further arguments to be passed to or from other methods.</p>
+</td></tr>
+<tr valign="top"><td><code>stringsAsFactors</code></td>
+<td>
+<p>(Optional) a logical indicating whether or not string columns
+should be converted to factors. FALSE by default.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>collect since 1.4.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other SparkDataFrame functions: <code><a href="SparkDataFrame.html">SparkDataFrame-class</a></code>,
+<code><a href="summarize.html">agg</a></code>, <code><a href="alias.html">alias</a></code>,
+<code><a href="arrange.html">arrange</a></code>, <code><a href="as.data.frame.html">as.data.frame</a></code>,
+<code><a href="attach.html">attach,SparkDataFrame-method</a></code>,
+<code><a href="broadcast.html">broadcast</a></code>, <code><a href="cache.html">cache</a></code>,
+<code><a href="checkpoint.html">checkpoint</a></code>, <code><a href="coalesce.html">coalesce</a></code>,
+<code><a href="columns.html">colnames</a></code>, <code><a href="coltypes.html">coltypes</a></code>,
+<code><a href="createOrReplaceTempView.html">createOrReplaceTempView</a></code>,
+<code><a href="crossJoin.html">crossJoin</a></code>, <code><a href="cube.html">cube</a></code>,
+<code><a href="dapplyCollect.html">dapplyCollect</a></code>, <code><a href="dapply.html">dapply</a></code>,
+<code><a href="describe.html">describe</a></code>, <code><a href="dim.html">dim</a></code>,
+<code><a href="distinct.html">distinct</a></code>, <code><a href="dropDuplicates.html">dropDuplicates</a></code>,
+<code><a href="nafunctions.html">dropna</a></code>, <code><a href="drop.html">drop</a></code>,
+<code><a href="dtypes.html">dtypes</a></code>, <code><a href="except.html">except</a></code>,
+<code><a href="explain.html">explain</a></code>, <code><a href="filter.html">filter</a></code>,
+<code><a href="first.html">first</a></code>, <code><a href="gapplyCollect.html">gapplyCollect</a></code>,
+<code><a href="gapply.html">gapply</a></code>, <code><a href="getNumPartitions.html">getNumPartitions</a></code>,
+<code><a href="groupBy.html">group_by</a></code>, <code><a href="head.html">head</a></code>,
+<code><a href="hint.html">hint</a></code>, <code><a href="histogram.html">histogram</a></code>,
+<code><a href="insertInto.html">insertInto</a></code>, <code><a href="intersect.html">intersect</a></code>,
+<code><a href="isLocal.html">isLocal</a></code>, <code><a href="isStreaming.html">isStreaming</a></code>,
+<code><a href="join.html">join</a></code>, <code><a href="limit.html">limit</a></code>,
+<code><a href="localCheckpoint.html">localCheckpoint</a></code>, <code><a href="merge.html">merge</a></code>,
+<code><a href="mutate.html">mutate</a></code>, <code><a href="ncol.html">ncol</a></code>,
+<code><a href="nrow.html">nrow</a></code>, <code><a href="persist.html">persist</a></code>,
+<code><a href="printSchema.html">printSchema</a></code>, <code><a href="randomSplit.html">randomSplit</a></code>,
+<code><a href="rbind.html">rbind</a></code>, <code><a href="registerTempTable-deprecated.html">registerTempTable</a></code>,
+<code><a href="rename.html">rename</a></code>, <code><a href="repartition.html">repartition</a></code>,
+<code><a href="rollup.html">rollup</a></code>, <code><a href="sample.html">sample</a></code>,
+<code><a href="saveAsTable.html">saveAsTable</a></code>, <code><a href="schema.html">schema</a></code>,
+<code><a href="selectExpr.html">selectExpr</a></code>, <code><a href="select.html">select</a></code>,
+<code><a href="showDF.html">showDF</a></code>, <code><a href="show.html">show</a></code>,
+<code><a href="storageLevel.html">storageLevel</a></code>, <code><a href="str.html">str</a></code>,
+<code><a href="subset.html">subset</a></code>, <code><a href="summary.html">summary</a></code>,
+<code><a href="take.html">take</a></code>, <code><a href="toJSON.html">toJSON</a></code>,
+<code><a href="unionByName.html">unionByName</a></code>, <code><a href="union.html">union</a></code>,
+<code><a href="unpersist.html">unpersist</a></code>, <code><a href="withColumn.html">withColumn</a></code>,
+<code><a href="withWatermark.html">withWatermark</a></code>, <code><a href="with.html">with</a></code>,
+<code><a href="write.df.html">write.df</a></code>, <code><a href="write.jdbc.html">write.jdbc</a></code>,
+<code><a href="write.json.html">write.json</a></code>, <code><a href="write.orc.html">write.orc</a></code>,
+<code><a href="write.parquet.html">write.parquet</a></code>, <code><a href="write.stream.html">write.stream</a></code>,
+<code><a href="write.text.html">write.text</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D sparkR.session()
+##D path &lt;- &quot;path/to/file.json&quot;
+##D df &lt;- read.json(path)
+##D collected &lt;- collect(df)
+##D class(collected)
+##D firstName &lt;- names(collected)[1]
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/coltypes.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: coltypes</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js"></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for coltypes {SparkR}"><tr><td>coltypes {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>coltypes</h2>
+
+<h3>Description</h3>
+
+<p>Get column types of a SparkDataFrame
+</p>
+<p>Set the column types of a SparkDataFrame.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+coltypes(x)
+
+coltypes(x) &lt;- value
+
+## S4 method for signature 'SparkDataFrame'
+coltypes(x)
+
+## S4 replacement method for signature 'SparkDataFrame,character'
+coltypes(x) &lt;- value
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>A SparkDataFrame</p>
+</td></tr>
+<tr valign="top"><td><code>value</code></td>
+<td>
+<p>A character vector with the target column types for the given
+SparkDataFrame. Column types can be one of integer, numeric/double, character, logical, or NA
+to keep that column as-is.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>value A character vector with the column types of the given SparkDataFrame
+</p>
+
+
+<h3>Note</h3>
+
+<p>coltypes since 1.6.0
+</p>
+<p>coltypes&lt;- since 1.6.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other SparkDataFrame functions: <code><a href="SparkDataFrame.html">SparkDataFrame-class</a></code>,
+<code><a href="summarize.html">agg</a></code>, <code><a href="alias.html">alias</a></code>,
+<code><a href="arrange.html">arrange</a></code>, <code><a href="as.data.frame.html">as.data.frame</a></code>,
+<code><a href="attach.html">attach,SparkDataFrame-method</a></code>,
+<code><a href="broadcast.html">broadcast</a></code>, <code><a href="cache.html">cache</a></code>,
+<code><a href="checkpoint.html">checkpoint</a></code>, <code><a href="coalesce.html">coalesce</a></code>,
+<code><a href="collect.html">collect</a></code>, <code><a href="columns.html">colnames</a></code>,
+<code><a href="createOrReplaceTempView.html">createOrReplaceTempView</a></code>,
+<code><a href="crossJoin.html">crossJoin</a></code>, <code><a href="cube.html">cube</a></code>,
+<code><a href="dapplyCollect.html">dapplyCollect</a></code>, <code><a href="dapply.html">dapply</a></code>,
+<code><a href="describe.html">describe</a></code>, <code><a href="dim.html">dim</a></code>,
+<code><a href="distinct.html">distinct</a></code>, <code><a href="dropDuplicates.html">dropDuplicates</a></code>,
+<code><a href="nafunctions.html">dropna</a></code>, <code><a href="drop.html">drop</a></code>,
+<code><a href="dtypes.html">dtypes</a></code>, <code><a href="except.html">except</a></code>,
+<code><a href="explain.html">explain</a></code>, <code><a href="filter.html">filter</a></code>,
+<code><a href="first.html">first</a></code>, <code><a href="gapplyCollect.html">gapplyCollect</a></code>,
+<code><a href="gapply.html">gapply</a></code>, <code><a href="getNumPartitions.html">getNumPartitions</a></code>,
+<code><a href="groupBy.html">group_by</a></code>, <code><a href="head.html">head</a></code>,
+<code><a href="hint.html">hint</a></code>, <code><a href="histogram.html">histogram</a></code>,
+<code><a href="insertInto.html">insertInto</a></code>, <code><a href="intersect.html">intersect</a></code>,
+<code><a href="isLocal.html">isLocal</a></code>, <code><a href="isStreaming.html">isStreaming</a></code>,
+<code><a href="join.html">join</a></code>, <code><a href="limit.html">limit</a></code>,
+<code><a href="localCheckpoint.html">localCheckpoint</a></code>, <code><a href="merge.html">merge</a></code>,
+<code><a href="mutate.html">mutate</a></code>, <code><a href="ncol.html">ncol</a></code>,
+<code><a href="nrow.html">nrow</a></code>, <code><a href="persist.html">persist</a></code>,
+<code><a href="printSchema.html">printSchema</a></code>, <code><a href="randomSplit.html">randomSplit</a></code>,
+<code><a href="rbind.html">rbind</a></code>, <code><a href="registerTempTable-deprecated.html">registerTempTable</a></code>,
+<code><a href="rename.html">rename</a></code>, <code><a href="repartition.html">repartition</a></code>,
+<code><a href="rollup.html">rollup</a></code>, <code><a href="sample.html">sample</a></code>,
+<code><a href="saveAsTable.html">saveAsTable</a></code>, <code><a href="schema.html">schema</a></code>,
+<code><a href="selectExpr.html">selectExpr</a></code>, <code><a href="select.html">select</a></code>,
+<code><a href="showDF.html">showDF</a></code>, <code><a href="show.html">show</a></code>,
+<code><a href="storageLevel.html">storageLevel</a></code>, <code><a href="str.html">str</a></code>,
+<code><a href="subset.html">subset</a></code>, <code><a href="summary.html">summary</a></code>,
+<code><a href="take.html">take</a></code>, <code><a href="toJSON.html">toJSON</a></code>,
+<code><a href="unionByName.html">unionByName</a></code>, <code><a href="union.html">union</a></code>,
+<code><a href="unpersist.html">unpersist</a></code>, <code><a href="withColumn.html">withColumn</a></code>,
+<code><a href="withWatermark.html">withWatermark</a></code>, <code><a href="with.html">with</a></code>,
+<code><a href="write.df.html">write.df</a></code>, <code><a href="write.jdbc.html">write.jdbc</a></code>,
+<code><a href="write.json.html">write.json</a></code>, <code><a href="write.orc.html">write.orc</a></code>,
+<code><a href="write.parquet.html">write.parquet</a></code>, <code><a href="write.stream.html">write.stream</a></code>,
+<code><a href="write.text.html">write.text</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D irisDF &lt;- createDataFrame(iris)
+##D coltypes(irisDF) # get column types
+## End(Not run)
+## Not run: 
+##D sparkR.session()
+##D path &lt;- &quot;path/to/file.json&quot;
+##D df &lt;- read.json(path)
+##D coltypes(df) &lt;- c(&quot;character&quot;, &quot;integer&quot;) # set column types
+##D coltypes(df) &lt;- c(NA, &quot;numeric&quot;) # set column types
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: S4 class that represents a SparkDataFrame column</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js"></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for column {SparkR}"><tr><td>column {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>S4 class that represents a SparkDataFrame column</h2>
+
+<h3>Description</h3>
+
+<p>The column class supports unary, binary operations on SparkDataFrame columns
+</p>
+<p>Returns a Column based on the given column name.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+column(x)
+
+## S4 method for signature 'jobj'
+column(x)
+
+## S4 method for signature 'character'
+column(x)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>Character column name.</p>
+</td></tr>
+</table>
+
+
+<h3>Slots</h3>
+
+
+<dl>
+<dt><code>jc</code></dt><dd><p>reference to JVM SparkDataFrame column</p>
+</dd>
+</dl>
+
+
+<h3>Note</h3>
+
+<p>Column since 1.4.0
+</p>
+<p>column since 1.6.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other non-aggregate functions: <code><a href="column_nonaggregate_functions.html">column_nonaggregate_functions</a></code>,
+<code><a href="not.html">not</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: column(&quot;name&quot;)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/column_aggregate_functions.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: Aggregate functions for Column operations</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js"></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for column_aggregate_functions {SparkR}"><tr><td>column_aggregate_functions {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Aggregate functions for Column operations</h2>
+
+<h3>Description</h3>
+
+<p>Aggregate functions defined for <code>Column</code>.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+approxCountDistinct(x, ...)
+
+collect_list(x)
+
+collect_set(x)
+
+countDistinct(x, ...)
+
+grouping_bit(x)
+
+grouping_id(x, ...)
+
+kurtosis(x)
+
+n_distinct(x, ...)
+
+sd(x, na.rm = FALSE)
+
+skewness(x)
+
+stddev(x)
+
+stddev_pop(x)
+
+stddev_samp(x)
+
+sumDistinct(x)
+
+var(x, y = NULL, na.rm = FALSE, use)
+
+variance(x)
+
+var_pop(x)
+
+var_samp(x)
+
+## S4 method for signature 'Column'
+approxCountDistinct(x, rsd = 0.05)
+
+## S4 method for signature 'Column'
+kurtosis(x)
+
+## S4 method for signature 'Column'
+max(x)
+
+## S4 method for signature 'Column'
+mean(x)
+
+## S4 method for signature 'Column'
+min(x)
+
+## S4 method for signature 'Column'
+sd(x)
+
+## S4 method for signature 'Column'
+skewness(x)
+
+## S4 method for signature 'Column'
+stddev(x)
+
+## S4 method for signature 'Column'
+stddev_pop(x)
+
+## S4 method for signature 'Column'
+stddev_samp(x)
+
+## S4 method for signature 'Column'
+sum(x)
+
+## S4 method for signature 'Column'
+sumDistinct(x)
+
+## S4 method for signature 'Column'
+var(x)
+
+## S4 method for signature 'Column'
+variance(x)
+
+## S4 method for signature 'Column'
+var_pop(x)
+
+## S4 method for signature 'Column'
+var_samp(x)
+
+## S4 method for signature 'Column'
+approxCountDistinct(x, rsd = 0.05)
+
+## S4 method for signature 'Column'
+countDistinct(x, ...)
+
+## S4 method for signature 'Column'
+n_distinct(x, ...)
+
+## S4 method for signature 'Column'
+collect_list(x)
+
+## S4 method for signature 'Column'
+collect_set(x)
+
+## S4 method for signature 'Column'
+grouping_bit(x)
+
+## S4 method for signature 'Column'
+grouping_id(x, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>Column to compute on.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional argument(s). For example, it could be used to pass additional Columns.</p>
+</td></tr>
+<tr valign="top"><td><code>y, na.rm, use</code></td>
+<td>
+<p>currently not used.</p>
+</td></tr>
+<tr valign="top"><td><code>rsd</code></td>
+<td>
+<p>maximum estimation error allowed (default = 0.05).</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p><code>approxCountDistinct</code>: Returns the approximate number of distinct items in a group.
+</p>
+<p><code>kurtosis</code>: Returns the kurtosis of the values in a group.
+</p>
+<p><code>max</code>: Returns the maximum value of the expression in a group.
+</p>
+<p><code>mean</code>: Returns the average of the values in a group. Alias for <code>avg</code>.
+</p>
+<p><code>min</code>: Returns the minimum value of the expression in a group.
+</p>
+<p><code>sd</code>: Alias for <code>stddev_samp</code>.
+</p>
+<p><code>skewness</code>: Returns the skewness of the values in a group.
+</p>
+<p><code>stddev</code>: Alias for <code>std_dev</code>.
+</p>
+<p><code>stddev_pop</code>: Returns the population standard deviation of the expression in a group.
+</p>
+<p><code>stddev_samp</code>: Returns the unbiased sample standard deviation of the expression in a group.
+</p>
+<p><code>sum</code>: Returns the sum of all values in the expression.
+</p>
+<p><code>sumDistinct</code>: Returns the sum of distinct values in the expression.
+</p>
+<p><code>var</code>: Alias for <code>var_samp</code>.
+</p>
+<p><code>var_pop</code>: Returns the population variance of the values in a group.
+</p>
+<p><code>var_samp</code>: Returns the unbiased variance of the values in a group.
+</p>
+<p><code>countDistinct</code>: Returns the number of distinct items in a group.
+</p>
+<p><code>n_distinct</code>: Returns the number of distinct items in a group.
+</p>
+<p><code>collect_list</code>: Creates a list of objects with duplicates.
+</p>
+<p><code>collect_set</code>: Creates a list of objects with duplicate elements eliminated.
+</p>
+<p><code>grouping_bit</code>: Indicates whether a specified column in a GROUP BY list is aggregated or
+not, returns 1 for aggregated or 0 for not aggregated in the result set. Same as <code>GROUPING</code>
+in SQL and <code>grouping</code> function in Scala.
+</p>
+<p><code>grouping_id</code>: Returns the level of grouping.
+Equals to <code>
+grouping_bit(c1) * 2^(n - 1) + grouping_bit(c2) * 2^(n - 2)  + ... + grouping_bit(cn)
+</code>.
+</p>
+
+
+<h3>Note</h3>
+
+<p>approxCountDistinct(Column) since 1.4.0
+</p>
+<p>kurtosis since 1.6.0
+</p>
+<p>max since 1.5.0
+</p>
+<p>mean since 1.5.0
+</p>
+<p>min since 1.5.0
+</p>
+<p>sd since 1.6.0
+</p>
+<p>skewness since 1.6.0
+</p>
+<p>stddev since 1.6.0
+</p>
+<p>stddev_pop since 1.6.0
+</p>
+<p>stddev_samp since 1.6.0
+</p>
+<p>sum since 1.5.0
+</p>
+<p>sumDistinct since 1.4.0
+</p>
+<p>var since 1.6.0
+</p>
+<p>variance since 1.6.0
+</p>
+<p>var_pop since 1.5.0
+</p>
+<p>var_samp since 1.6.0
+</p>
+<p>approxCountDistinct(Column, numeric) since 1.4.0
+</p>
+<p>countDistinct since 1.4.0
+</p>
+<p>n_distinct since 1.4.0
+</p>
+<p>collect_list since 2.3.0
+</p>
+<p>collect_set since 2.3.0
+</p>
+<p>grouping_bit since 2.3.0
+</p>
+<p>grouping_id since 2.3.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other aggregate functions: <code><a href="avg.html">avg</a></code>,
+<code><a href="corr.html">corr</a></code>, <code><a href="count.html">count</a></code>,
+<code><a href="cov.html">cov</a></code>, <code><a href="first.html">first</a></code>,
+<code><a href="last.html">last</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D # Dataframe used throughout this doc
+##D df &lt;- createDataFrame(cbind(model = rownames(mtcars), mtcars))
+## End(Not run)
+
+## Not run: 
+##D head(select(df, approxCountDistinct(df$gear)))
+##D head(select(df, approxCountDistinct(df$gear, 0.02)))
+##D head(select(df, countDistinct(df$gear, df$cyl)))
+##D head(select(df, n_distinct(df$gear)))
+##D head(distinct(select(df, &quot;gear&quot;)))
+## End(Not run)
+
+## Not run: 
+##D head(select(df, mean(df$mpg), sd(df$mpg), skewness(df$mpg), kurtosis(df$mpg)))
+## End(Not run)
+
+## Not run: 
+##D head(select(df, avg(df$mpg), mean(df$mpg), sum(df$mpg), min(df$wt), max(df$qsec)))
+##D 
+##D # metrics by num of cylinders
+##D tmp &lt;- agg(groupBy(df, &quot;cyl&quot;), avg(df$mpg), avg(df$hp), avg(df$wt), avg(df$qsec))
+##D head(orderBy(tmp, &quot;cyl&quot;))
+##D 
+##D # car with the max mpg
+##D mpg_max &lt;- as.numeric(collect(agg(df, max(df$mpg))))
+##D head(where(df, df$mpg == mpg_max))
+## End(Not run)
+
+## Not run: 
+##D head(select(df, sd(df$mpg), stddev(df$mpg), stddev_pop(df$wt), stddev_samp(df$qsec)))
+## End(Not run)
+
+## Not run: 
+##D head(select(df, sumDistinct(df$gear)))
+##D head(distinct(select(df, &quot;gear&quot;)))
+## End(Not run)
+
+## Not run: 
+##D head(agg(df, var(df$mpg), variance(df$mpg), var_pop(df$mpg), var_samp(df$mpg)))
+## End(Not run)
+
+## Not run: 
+##D df2 = df[df$mpg &gt; 20, ]
+##D collect(select(df2, collect_list(df2$gear)))
+##D collect(select(df2, collect_set(df2$gear)))
+## End(Not run)
+
+## Not run: 
+##D # With cube
+##D agg(
+##D   cube(df, &quot;cyl&quot;, &quot;gear&quot;, &quot;am&quot;),
+##D   mean(df$mpg),
+##D   grouping_bit(df$cyl), grouping_bit(df$gear), grouping_bit(df$am)
+##D )
+##D 
+##D # With rollup
+##D agg(
+##D   rollup(df, &quot;cyl&quot;, &quot;gear&quot;, &quot;am&quot;),
+##D   mean(df$mpg),
+##D   grouping_bit(df$cyl), grouping_bit(df$gear), grouping_bit(df$am)
+##D )
+## End(Not run)
+
+## Not run: 
+##D # With cube
+##D agg(
+##D   cube(df, &quot;cyl&quot;, &quot;gear&quot;, &quot;am&quot;),
+##D   mean(df$mpg),
+##D   grouping_id(df$cyl, df$gear, df$am)
+##D )
+##D 
+##D # With rollup
+##D agg(
+##D   rollup(df, &quot;cyl&quot;, &quot;gear&quot;, &quot;am&quot;),
+##D   mean(df$mpg),
+##D   grouping_id(df$cyl, df$gear, df$am)
+##D )
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

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+<table width="100%" summary="page for column_collection_functions {SparkR}"><tr><td>column_collection_functions {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Collection functions for Column operations</h2>
+
+<h3>Description</h3>
+
+<p>Collection functions defined for <code>Column</code>.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+array_contains(x, value)
+
+explode(x)
+
+explode_outer(x)
+
+from_json(x, schema, ...)
+
+map_keys(x)
+
+map_values(x)
+
+posexplode(x)
+
+posexplode_outer(x)
+
+size(x)
+
+sort_array(x, asc = TRUE)
+
+to_json(x, ...)
+
+## S4 method for signature 'Column'
+to_json(x, ...)
+
+## S4 method for signature 'Column,characterOrstructType'
+from_json(x, schema,
+  as.json.array = FALSE, ...)
+
+## S4 method for signature 'Column'
+array_contains(x, value)
+
+## S4 method for signature 'Column'
+map_keys(x)
+
+## S4 method for signature 'Column'
+map_values(x)
+
+## S4 method for signature 'Column'
+explode(x)
+
+## S4 method for signature 'Column'
+size(x)
+
+## S4 method for signature 'Column'
+sort_array(x, asc = TRUE)
+
+## S4 method for signature 'Column'
+posexplode(x)
+
+## S4 method for signature 'Column'
+explode_outer(x)
+
+## S4 method for signature 'Column'
+posexplode_outer(x)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>Column to compute on. Note the difference in the following methods:
+</p>
+
+<ul>
+<li> <p><code>to_json</code>: it is the column containing the struct, array of the structs,
+the map or array of maps.
+</p>
+</li>
+<li> <p><code>from_json</code>: it is the column containing the JSON string.
+</p>
+</li></ul>
+</td></tr>
+<tr valign="top"><td><code>value</code></td>
+<td>
+<p>a value to be checked if contained in the column</p>
+</td></tr>
+<tr valign="top"><td><code>schema</code></td>
+<td>
+<p>a structType object to use as the schema to use when parsing the JSON string.
+Since Spark 2.3, the DDL-formatted string is also supported for the schema.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional argument(s). In <code>to_json</code> and <code>from_json</code>, this contains
+additional named properties to control how it is converted, accepts the same
+options as the JSON data source.</p>
+</td></tr>
+<tr valign="top"><td><code>asc</code></td>
+<td>
+<p>a logical flag indicating the sorting order.
+TRUE, sorting is in ascending order.
+FALSE, sorting is in descending order.</p>
+</td></tr>
+<tr valign="top"><td><code>as.json.array</code></td>
+<td>
+<p>indicating if input string is JSON array of objects or a single object.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p><code>to_json</code>: Converts a column containing a <code>structType</code>, array of <code>structType</code>,
+a <code>mapType</code> or array of <code>mapType</code> into a Column of JSON string.
+Resolving the Column can fail if an unsupported type is encountered.
+</p>
+<p><code>from_json</code>: Parses a column containing a JSON string into a Column of <code>structType</code>
+with the specified <code>schema</code> or array of <code>structType</code> if <code>as.json.array</code> is set
+to <code>TRUE</code>. If the string is unparseable, the Column will contain the value NA.
+</p>
+<p><code>array_contains</code>: Returns null if the array is null, true if the array contains
+the value, and false otherwise.
+</p>
+<p><code>map_keys</code>: Returns an unordered array containing the keys of the map.
+</p>
+<p><code>map_values</code>: Returns an unordered array containing the values of the map.
+</p>
+<p><code>explode</code>: Creates a new row for each element in the given array or map column.
+</p>
+<p><code>size</code>: Returns length of array or map.
+</p>
+<p><code>sort_array</code>: Sorts the input array in ascending or descending order according
+to the natural ordering of the array elements.
+</p>
+<p><code>posexplode</code>: Creates a new row for each element with position in the given array
+or map column.
+</p>
+<p><code>explode</code>: Creates a new row for each element in the given array or map column.
+Unlike <code>explode</code>, if the array/map is <code>null</code> or empty
+then <code>null</code> is produced.
+</p>
+<p><code>posexplode_outer</code>: Creates a new row for each element with position in the given
+array or map column. Unlike <code>posexplode</code>, if the array/map is <code>null</code> or empty
+then the row (<code>null</code>, <code>null</code>) is produced.
+</p>
+
+
+<h3>Note</h3>
+
+<p>to_json since 2.2.0
+</p>
+<p>from_json since 2.2.0
+</p>
+<p>array_contains since 1.6.0
+</p>
+<p>map_keys since 2.3.0
+</p>
+<p>map_values since 2.3.0
+</p>
+<p>explode since 1.5.0
+</p>
+<p>size since 1.5.0
+</p>
+<p>sort_array since 1.6.0
+</p>
+<p>posexplode since 2.1.0
+</p>
+<p>explode_outer since 2.3.0
+</p>
+<p>posexplode_outer since 2.3.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D # Dataframe used throughout this doc
+##D df &lt;- createDataFrame(cbind(model = rownames(mtcars), mtcars))
+##D tmp &lt;- mutate(df, v1 = create_array(df$mpg, df$cyl, df$hp))
+##D head(select(tmp, array_contains(tmp$v1, 21), size(tmp$v1)))
+##D tmp2 &lt;- mutate(tmp, v2 = explode(tmp$v1))
+##D head(tmp2)
+##D head(select(tmp, posexplode(tmp$v1)))
+##D head(select(tmp, sort_array(tmp$v1)))
+##D head(select(tmp, sort_array(tmp$v1, asc = FALSE)))
+##D tmp3 &lt;- mutate(df, v3 = create_map(df$model, df$cyl))
+##D head(select(tmp3, map_keys(tmp3$v3)))
+##D head(select(tmp3, map_values(tmp3$v3)))
+## End(Not run)
+
+## Not run: 
+##D # Converts a struct into a JSON object
+##D df2 &lt;- sql(&quot;SELECT named_struct(&#39;date&#39;, cast(&#39;2000-01-01&#39; as date)) as d&quot;)
+##D select(df2, to_json(df2$d, dateFormat = &#39;dd/MM/yyyy&#39;))
+##D 
+##D # Converts an array of structs into a JSON array
+##D df2 &lt;- sql(&quot;SELECT array(named_struct(&#39;name&#39;, &#39;Bob&#39;), named_struct(&#39;name&#39;, &#39;Alice&#39;)) as people&quot;)
+##D df2 &lt;- mutate(df2, people_json = to_json(df2$people))
+##D 
+##D # Converts a map into a JSON object
+##D df2 &lt;- sql(&quot;SELECT map(&#39;name&#39;, &#39;Bob&#39;)) as people&quot;)
+##D df2 &lt;- mutate(df2, people_json = to_json(df2$people))
+##D 
+##D # Converts an array of maps into a JSON array
+##D df2 &lt;- sql(&quot;SELECT array(map(&#39;name&#39;, &#39;Bob&#39;), map(&#39;name&#39;, &#39;Alice&#39;)) as people&quot;)
+##D df2 &lt;- mutate(df2, people_json = to_json(df2$people))
+## End(Not run)
+
+## Not run: 
+##D df2 &lt;- sql(&quot;SELECT named_struct(&#39;date&#39;, cast(&#39;2000-01-01&#39; as date)) as d&quot;)
+##D df2 &lt;- mutate(df2, d2 = to_json(df2$d, dateFormat = &#39;dd/MM/yyyy&#39;))
+##D schema &lt;- structType(structField(&quot;date&quot;, &quot;string&quot;))
+##D head(select(df2, from_json(df2$d2, schema, dateFormat = &#39;dd/MM/yyyy&#39;)))
+##D df2 &lt;- sql(&quot;SELECT named_struct(&#39;name&#39;, &#39;Bob&#39;) as people&quot;)
+##D df2 &lt;- mutate(df2, people_json = to_json(df2$people))
+##D schema &lt;- structType(structField(&quot;name&quot;, &quot;string&quot;))
+##D head(select(df2, from_json(df2$people_json, schema)))
+##D head(select(df2, from_json(df2$people_json, &quot;name STRING&quot;)))
+## End(Not run)
+
+## Not run: 
+##D df2 &lt;- createDataFrame(data.frame(
+##D   id = c(1, 2, 3), text = c(&quot;a,b,c&quot;, NA, &quot;d,e&quot;)
+##D ))
+##D 
+##D head(select(df2, df2$id, explode_outer(split_string(df2$text, &quot;,&quot;))))
+##D head(select(df2, df2$id, posexplode_outer(split_string(df2$text, &quot;,&quot;))))
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>


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