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Posted to commits@spark.apache.org by sr...@apache.org on 2018/02/28 18:49:47 UTC

[41/51] [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/rbind.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: Union two or more SparkDataFrames</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 rbind {SparkR}"><tr><td>rbind {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Union two or more SparkDataFrames</h2>
+
+<h3>Description</h3>
+
+<p>Union two or more SparkDataFrames by row. As in R's <code>rbind</code>, this method
+requires that the input SparkDataFrames have the same column names.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+rbind(..., deparse.level = 1)
+
+## S4 method for signature 'SparkDataFrame'
+rbind(x, ..., deparse.level = 1)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional SparkDataFrame(s).</p>
+</td></tr>
+<tr valign="top"><td><code>deparse.level</code></td>
+<td>
+<p>currently not used (put here to match the signature of
+the base implementation).</p>
+</td></tr>
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a SparkDataFrame.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>Note: This does not remove duplicate rows across the two SparkDataFrames.
+</p>
+
+
+<h3>Value</h3>
+
+<p>A SparkDataFrame containing the result of the union.
+</p>
+
+
+<h3>Note</h3>
+
+<p>rbind since 1.5.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="union.html">union</a> <a href="unionByName.html">unionByName</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="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="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 unions &lt;- rbind(df, df2, df3, df4)
+## 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/read.df.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: Load a SparkDataFrame</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 read.df {SparkR}"><tr><td>read.df {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Load a SparkDataFrame</h2>
+
+<h3>Description</h3>
+
+<p>Returns the dataset in a data source as a SparkDataFrame
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## Default S3 method:
+read.df(path = NULL, source = NULL, schema = NULL,
+  na.strings = "NA", ...)
+
+## Default S3 method:
+loadDF(path = NULL, source = NULL, schema = NULL, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>path</code></td>
+<td>
+<p>The path of files to load</p>
+</td></tr>
+<tr valign="top"><td><code>source</code></td>
+<td>
+<p>The name of external data source</p>
+</td></tr>
+<tr valign="top"><td><code>schema</code></td>
+<td>
+<p>The data schema defined in structType or a DDL-formatted string.</p>
+</td></tr>
+<tr valign="top"><td><code>na.strings</code></td>
+<td>
+<p>Default string value for NA when source is &quot;csv&quot;</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional external data source specific named properties.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>The data source is specified by the <code>source</code> and a set of options(...).
+If <code>source</code> is not specified, the default data source configured by
+&quot;spark.sql.sources.default&quot; will be used. <br />
+Similar to R read.csv, when <code>source</code> is &quot;csv&quot;, by default, a value of &quot;NA&quot; will be
+interpreted as NA.
+</p>
+
+
+<h3>Value</h3>
+
+<p>SparkDataFrame
+</p>
+
+
+<h3>Note</h3>
+
+<p>read.df since 1.4.0
+</p>
+<p>loadDF since 1.6.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="read.json.html">read.json</a>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D sparkR.session()
+##D df1 &lt;- read.df(&quot;path/to/file.json&quot;, source = &quot;json&quot;)
+##D schema &lt;- structType(structField(&quot;name&quot;, &quot;string&quot;),
+##D                      structField(&quot;info&quot;, &quot;map&lt;string,double&gt;&quot;))
+##D df2 &lt;- read.df(mapTypeJsonPath, &quot;json&quot;, schema, multiLine = TRUE)
+##D df3 &lt;- loadDF(&quot;data/test_table&quot;, &quot;parquet&quot;, mergeSchema = &quot;true&quot;)
+##D stringSchema &lt;- &quot;name STRING, info MAP&lt;STRING, DOUBLE&gt;&quot;
+##D df4 &lt;- read.df(mapTypeJsonPath, &quot;json&quot;, stringSchema, multiLine = TRUE)
+## 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/read.jdbc.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: Create a SparkDataFrame representing the database 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 read.jdbc {SparkR}"><tr><td>read.jdbc {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Create a SparkDataFrame representing the database table accessible via JDBC URL</h2>
+
+<h3>Description</h3>
+
+<p>Additional JDBC database connection properties can be set (...)
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+read.jdbc(url, tableName, partitionColumn = NULL, lowerBound = NULL,
+  upperBound = NULL, numPartitions = 0L, predicates = list(), ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>url</code></td>
+<td>
+<p>JDBC database url of the form <code>jdbc:subprotocol:subname</code></p>
+</td></tr>
+<tr valign="top"><td><code>tableName</code></td>
+<td>
+<p>the name of the table in the external database</p>
+</td></tr>
+<tr valign="top"><td><code>partitionColumn</code></td>
+<td>
+<p>the name of a column of integral type that will be used for partitioning</p>
+</td></tr>
+<tr valign="top"><td><code>lowerBound</code></td>
+<td>
+<p>the minimum value of <code>partitionColumn</code> used to decide partition stride</p>
+</td></tr>
+<tr valign="top"><td><code>upperBound</code></td>
+<td>
+<p>the maximum value of <code>partitionColumn</code> used to decide partition stride</p>
+</td></tr>
+<tr valign="top"><td><code>numPartitions</code></td>
+<td>
+<p>the number of partitions, This, along with <code>lowerBound</code> (inclusive),
+<code>upperBound</code> (exclusive), form partition strides for generated WHERE
+clause expressions used to split the column <code>partitionColumn</code> evenly.
+This defaults to SparkContext.defaultParallelism when unset.</p>
+</td></tr>
+<tr valign="top"><td><code>predicates</code></td>
+<td>
+<p>a list of conditions in the where clause; each one defines one partition</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional JDBC database connection named properties.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>Only one of partitionColumn or predicates should be set. Partitions of the table will be
+retrieved in parallel based on the <code>numPartitions</code> or by the predicates.
+</p>
+<p>Don't create too many partitions in parallel on a large cluster; otherwise Spark might crash
+your external database systems.
+</p>
+
+
+<h3>Value</h3>
+
+<p>SparkDataFrame
+</p>
+
+
+<h3>Note</h3>
+
+<p>read.jdbc since 2.0.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D sparkR.session()
+##D jdbcUrl &lt;- &quot;jdbc:mysql://localhost:3306/databasename&quot;
+##D df &lt;- read.jdbc(jdbcUrl, &quot;table&quot;, predicates = list(&quot;field&lt;=123&quot;), user = &quot;username&quot;)
+##D df2 &lt;- read.jdbc(jdbcUrl, &quot;table2&quot;, partitionColumn = &quot;index&quot;, lowerBound = 0,
+##D                  upperBound = 10000, user = &quot;username&quot;, password = &quot;password&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/read.json.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: Create a SparkDataFrame from a JSON file.</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 read.json {SparkR}"><tr><td>read.json {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Create a SparkDataFrame from a JSON file.</h2>
+
+<h3>Description</h3>
+
+<p>Loads a JSON file, returning the result as a SparkDataFrame
+By default, (<a href="http://jsonlines.org/">JSON Lines text format or newline-delimited JSON</a>
+) is supported. For JSON (one record per file), set a named property <code>multiLine</code> to
+<code>TRUE</code>.
+It goes through the entire dataset once to determine the schema.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## Default S3 method:
+read.json(path, ...)
+
+## Default S3 method:
+jsonFile(path)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>path</code></td>
+<td>
+<p>Path of file to read. A vector of multiple paths is allowed.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional external data source specific named properties.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>SparkDataFrame
+</p>
+
+
+<h3>Note</h3>
+
+<p>read.json since 1.6.0
+</p>
+<p>jsonFile 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 df &lt;- read.json(path, multiLine = TRUE)
+##D df &lt;- jsonFile(path)
+## 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/read.ml.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: Load a fitted MLlib model from the input 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 read.ml {SparkR}"><tr><td>read.ml {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Load a fitted MLlib model from the input path.</h2>
+
+<h3>Description</h3>
+
+<p>Load a fitted MLlib model from the input path.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+read.ml(path)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>path</code></td>
+<td>
+<p>path of the model to read.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>A fitted MLlib model.
+</p>
+
+
+<h3>Note</h3>
+
+<p>read.ml since 2.0.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="write.ml.html">write.ml</a>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D path &lt;- &quot;path/to/model&quot;
+##D model &lt;- read.ml(path)
+## 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/read.orc.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: Create a SparkDataFrame from an ORC file.</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 read.orc {SparkR}"><tr><td>read.orc {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Create a SparkDataFrame from an ORC file.</h2>
+
+<h3>Description</h3>
+
+<p>Loads an ORC file, returning the result as a SparkDataFrame.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+read.orc(path, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>path</code></td>
+<td>
+<p>Path of file to read.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional external data source specific named properties.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>SparkDataFrame
+</p>
+
+
+<h3>Note</h3>
+
+<p>read.orc since 2.0.0
+</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/read.parquet.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: Create a SparkDataFrame from a Parquet file.</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 read.parquet {SparkR}"><tr><td>read.parquet {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Create a SparkDataFrame from a Parquet file.</h2>
+
+<h3>Description</h3>
+
+<p>Loads a Parquet file, returning the result as a SparkDataFrame.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## Default S3 method:
+read.parquet(path, ...)
+
+## Default S3 method:
+parquetFile(...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>path</code></td>
+<td>
+<p>path of file to read. A vector of multiple paths is allowed.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>argument(s) passed to the method.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>SparkDataFrame
+</p>
+
+
+<h3>Note</h3>
+
+<p>read.parquet since 1.6.0
+</p>
+<p>parquetFile since 1.4.0
+</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/read.stream.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: Load a streaming SparkDataFrame</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 read.stream {SparkR}"><tr><td>read.stream {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Load a streaming SparkDataFrame</h2>
+
+<h3>Description</h3>
+
+<p>Returns the dataset in a data source as a SparkDataFrame
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+read.stream(source = NULL, schema = NULL, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>source</code></td>
+<td>
+<p>The name of external data source</p>
+</td></tr>
+<tr valign="top"><td><code>schema</code></td>
+<td>
+<p>The data schema defined in structType or a DDL-formatted string, this is
+required for file-based streaming data source</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional external data source specific named options, for instance <code>path</code> for
+file-based streaming data source. <code>timeZone</code> to indicate a timezone to be used to 
+parse timestamps in the JSON/CSV data sources or partition values; If it isn't set, it
+uses the default value, session local timezone.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>The data source is specified by the <code>source</code> and a set of options(...).
+If <code>source</code> is not specified, the default data source configured by
+&quot;spark.sql.sources.default&quot; will be used.
+</p>
+
+
+<h3>Value</h3>
+
+<p>SparkDataFrame
+</p>
+
+
+<h3>Note</h3>
+
+<p>read.stream since 2.2.0
+</p>
+<p>experimental
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="write.stream.html">write.stream</a>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D sparkR.session()
+##D df &lt;- read.stream(&quot;socket&quot;, host = &quot;localhost&quot;, port = 9999)
+##D q &lt;- write.stream(df, &quot;text&quot;, path = &quot;/home/user/out&quot;, checkpointLocation = &quot;/home/user/cp&quot;)
+##D 
+##D df &lt;- read.stream(&quot;json&quot;, path = jsonDir, schema = schema, maxFilesPerTrigger = 1)
+##D stringSchema &lt;- &quot;name STRING, info MAP&lt;STRING, DOUBLE&gt;&quot;
+##D df1 &lt;- read.stream(&quot;json&quot;, path = jsonDir, schema = stringSchema, maxFilesPerTrigger = 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>

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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: Create a SparkDataFrame from a text file.</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 read.text {SparkR}"><tr><td>read.text {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Create a SparkDataFrame from a text file.</h2>
+
+<h3>Description</h3>
+
+<p>Loads text files and returns a SparkDataFrame whose schema starts with
+a string column named &quot;value&quot;, and followed by partitioned columns if
+there are any.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## Default S3 method:
+read.text(path, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>path</code></td>
+<td>
+<p>Path of file to read. A vector of multiple paths is allowed.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional external data source specific named properties.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>Each line in the text file is a new row in the resulting SparkDataFrame.
+</p>
+
+
+<h3>Value</h3>
+
+<p>SparkDataFrame
+</p>
+
+
+<h3>Note</h3>
+
+<p>read.text since 1.6.1
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D sparkR.session()
+##D path &lt;- &quot;path/to/file.txt&quot;
+##D df &lt;- read.text(path)
+## 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/recoverPartitions.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: Recovers all the partitions in the directory of a table and...</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 recoverPartitions {SparkR}"><tr><td>recoverPartitions {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Recovers all the partitions in the directory of a table and update the catalog</h2>
+
+<h3>Description</h3>
+
+<p>Recovers all the partitions in the directory of a table and update the catalog. The name should
+reference a partitioned table, and not a view.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+recoverPartitions(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>Note</h3>
+
+<p>since 2.2.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D sparkR.session()
+##D recoverPartitions(&quot;myTable&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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+<!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: Invalidates and refreshes all the cached data and metadata...</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 refreshByPath {SparkR}"><tr><td>refreshByPath {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Invalidates and refreshes all the cached data and metadata for SparkDataFrame containing path</h2>
+
+<h3>Description</h3>
+
+<p>Invalidates and refreshes all the cached data (and the associated metadata) for any
+SparkDataFrame that contains the given data source path. Path matching is by prefix, i.e. &quot;/&quot;
+would invalidate everything that is cached.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+refreshByPath(path)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>path</code></td>
+<td>
+<p>the path of the data source.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>since 2.2.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D sparkR.session()
+##D refreshByPath(&quot;/path&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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+<!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: Invalidates and refreshes all the cached data and metadata of...</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 refreshTable {SparkR}"><tr><td>refreshTable {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Invalidates and refreshes all the cached data and metadata of the given table</h2>
+
+<h3>Description</h3>
+
+<p>Invalidates and refreshes all the cached data and metadata of the given table. For performance
+reasons, Spark SQL or the external data source library it uses might cache certain metadata about
+a table, such as the location of blocks. When those change outside of Spark SQL, users should
+call this function to invalidate the cache.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+refreshTable(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>Details</h3>
+
+<p>If this table is cached as an InMemoryRelation, drop the original cached version and make the
+new version cached lazily.
+</p>
+
+
+<h3>Note</h3>
+
+<p>since 2.2.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D sparkR.session()
+##D refreshTable(&quot;myTable&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/registerTempTable-deprecated.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: (Deprecated) Register Temporary 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 registerTempTable {SparkR}"><tr><td>registerTempTable {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>(Deprecated) Register Temporary Table</h2>
+
+<h3>Description</h3>
+
+<p>Registers a SparkDataFrame as a Temporary Table in the SparkSession
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+registerTempTable(x, tableName)
+
+## S4 method for signature 'SparkDataFrame,character'
+registerTempTable(x, tableName)
+</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>tableName</code></td>
+<td>
+<p>A character vector containing the name of the table</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>registerTempTable since 1.4.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="createOrReplaceTempView.html">createOrReplaceTempView</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="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="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 registerTempTable(df, &quot;json_df&quot;)
+##D new_df &lt;- sql(&quot;SELECT * FROM json_df&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/rename.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: rename</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 rename {SparkR}"><tr><td>rename {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>rename</h2>
+
+<h3>Description</h3>
+
+<p>Rename an existing column in a SparkDataFrame.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+rename(x, ...)
+
+withColumnRenamed(x, existingCol, newCol)
+
+## S4 method for signature 'SparkDataFrame,character,character'
+withColumnRenamed(x, existingCol,
+  newCol)
+
+## S4 method for signature 'SparkDataFrame'
+rename(x, ...)
+</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>A named pair of the form new_column_name = existing_column</p>
+</td></tr>
+<tr valign="top"><td><code>existingCol</code></td>
+<td>
+<p>The name of the column you want to change.</p>
+</td></tr>
+<tr valign="top"><td><code>newCol</code></td>
+<td>
+<p>The new column name.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>A SparkDataFrame with the column name changed.
+</p>
+
+
+<h3>Note</h3>
+
+<p>withColumnRenamed since 1.4.0
+</p>
+<p>rename since 1.4.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="mutate.html">mutate</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="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="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;- withColumnRenamed(df, &quot;col1&quot;, &quot;newCol1&quot;)
+## End(Not run)
+## Not run: 
+##D sparkR.session()
+##D path &lt;- &quot;path/to/file.json&quot;
+##D df &lt;- read.json(path)
+##D newDF &lt;- rename(df, col1 = df$newCol1)
+## 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/repartition.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: Repartition</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 repartition {SparkR}"><tr><td>repartition {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Repartition</h2>
+
+<h3>Description</h3>
+
+<p>The following options for repartition are possible:
+</p>
+
+<ul>
+<li><p>1. Return a new SparkDataFrame that has exactly <code>numPartitions</code>.
+</p>
+</li>
+<li><p>2. Return a new SparkDataFrame hash partitioned by
+the given columns into <code>numPartitions</code>.
+</p>
+</li>
+<li><p>3. Return a new SparkDataFrame hash partitioned by the given column(s),
+using <code>spark.sql.shuffle.partitions</code> as number of partitions.
+</p>
+</li></ul>
+
+
+
+<h3>Usage</h3>
+
+<pre>
+repartition(x, ...)
+
+## S4 method for signature 'SparkDataFrame'
+repartition(x, numPartitions = NULL, col = NULL,
+  ...)
+</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 column(s) to be used in the partitioning.</p>
+</td></tr>
+<tr valign="top"><td><code>numPartitions</code></td>
+<td>
+<p>the number of partitions to use.</p>
+</td></tr>
+<tr valign="top"><td><code>col</code></td>
+<td>
+<p>the column by which the partitioning will be performed.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>repartition since 1.4.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="coalesce.html">coalesce</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="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="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;- repartition(df, 2L)
+##D newDF &lt;- repartition(df, numPartitions = 2L)
+##D newDF &lt;- repartition(df, col = df$&quot;col1&quot;, df$&quot;col2&quot;)
+##D newDF &lt;- repartition(df, 3L, col = df$&quot;col1&quot;, df$&quot;col2&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/rollup.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: rollup</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 rollup {SparkR}"><tr><td>rollup {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>rollup</h2>
+
+<h3>Description</h3>
+
+<p>Create a multi-dimensional rollup for the SparkDataFrame using the specified columns.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+rollup(x, ...)
+
+## S4 method for signature 'SparkDataFrame'
+rollup(x, ...)
+</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>character name(s) or Column(s) to group on.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>If grouping expression is missing <code>rollup</code> creates a single global aggregate and is
+equivalent to direct application of <a href="summarize.html">agg</a>.
+</p>
+
+
+<h3>Value</h3>
+
+<p>A GroupedData.
+</p>
+
+
+<h3>Note</h3>
+
+<p>rollup since 2.3.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="summarize.html">agg</a>, <a href="cube.html">cube</a>, <a href="groupBy.html">groupBy</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="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="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 mean(rollup(df, &quot;cyl&quot;, &quot;gear&quot;, &quot;am&quot;), &quot;mpg&quot;)
+##D 
+##D # Following calls are equivalent
+##D agg(rollup(df), mean(df$mpg))
+##D agg(df, mean(df$mpg))
+## 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/rowsBetween.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: rowsBetween</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 rowsBetween {SparkR}"><tr><td>rowsBetween {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>rowsBetween</h2>
+
+<h3>Description</h3>
+
+<p>Defines the frame boundaries, from <code>start</code> (inclusive) to <code>end</code> (inclusive).
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+rowsBetween(x, start, end)
+
+## S4 method for signature 'WindowSpec,numeric,numeric'
+rowsBetween(x, start, end)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a WindowSpec</p>
+</td></tr>
+<tr valign="top"><td><code>start</code></td>
+<td>
+<p>boundary start, inclusive.
+The frame is unbounded if this is the minimum long value.</p>
+</td></tr>
+<tr valign="top"><td><code>end</code></td>
+<td>
+<p>boundary end, inclusive.
+The frame is unbounded if this is the maximum long value.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>Both <code>start</code> and <code>end</code> are relative positions from the current row. For example,
+&quot;0&quot; means &quot;current row&quot;, while &quot;-1&quot; means the row before the current row, and &quot;5&quot; means the
+fifth row after the current row.
+</p>
+
+
+<h3>Value</h3>
+
+<p>a WindowSpec
+</p>
+
+
+<h3>Note</h3>
+
+<p>rowsBetween since 2.0.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other windowspec_method: <code><a href="orderBy.html">orderBy</a></code>,
+<code><a href="partitionBy.html">partitionBy</a></code>, <code><a href="rangeBetween.html">rangeBetween</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D   rowsBetween(ws, 0, 3)
+## 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/sample.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: Sample</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 sample {SparkR}"><tr><td>sample {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Sample</h2>
+
+<h3>Description</h3>
+
+<p>Return a sampled subset of this SparkDataFrame using a random seed.
+Note: this is not guaranteed to provide exactly the fraction specified
+of the total count of of the given SparkDataFrame.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+sample(x, withReplacement = FALSE, fraction, seed)
+
+sample_frac(x, withReplacement = FALSE, fraction, seed)
+
+## S4 method for signature 'SparkDataFrame'
+sample(x, withReplacement = FALSE, fraction, seed)
+
+## S4 method for signature 'SparkDataFrame'
+sample_frac(x, withReplacement = FALSE, fraction,
+  seed)
+</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>withReplacement</code></td>
+<td>
+<p>Sampling with replacement or not</p>
+</td></tr>
+<tr valign="top"><td><code>fraction</code></td>
+<td>
+<p>The (rough) sample target fraction</p>
+</td></tr>
+<tr valign="top"><td><code>seed</code></td>
+<td>
+<p>Randomness seed value. Default is a random seed.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>sample since 1.4.0
+</p>
+<p>sample_frac 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="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="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 collect(sample(df, fraction = 0.5))
+##D collect(sample(df, FALSE, 0.5))
+##D collect(sample(df, TRUE, 0.5, seed = 3))
+## 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/sampleBy.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: Returns a stratified sample without replacement</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 sampleBy {SparkR}"><tr><td>sampleBy {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Returns a stratified sample without replacement</h2>
+
+<h3>Description</h3>
+
+<p>Returns a stratified sample without replacement based on the fraction given on each
+stratum.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+sampleBy(x, col, fractions, seed)
+
+## S4 method for signature 'SparkDataFrame,character,list,numeric'
+sampleBy(x, col, fractions,
+  seed)
+</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>col</code></td>
+<td>
+<p>column that defines strata</p>
+</td></tr>
+<tr valign="top"><td><code>fractions</code></td>
+<td>
+<p>A named list giving sampling fraction for each stratum. If a stratum is
+not specified, we treat its fraction as zero.</p>
+</td></tr>
+<tr valign="top"><td><code>seed</code></td>
+<td>
+<p>random seed</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>A new SparkDataFrame that represents the stratified sample
+</p>
+
+
+<h3>Note</h3>
+
+<p>sampleBy since 1.6.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other stat functions: <code><a href="approxQuantile.html">approxQuantile</a></code>,
+<code><a href="corr.html">corr</a></code>, <code><a href="cov.html">cov</a></code>,
+<code><a href="crosstab.html">crosstab</a></code>, <code><a href="freqItems.html">freqItems</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D df &lt;- read.json(&quot;/path/to/file.json&quot;)
+##D sample &lt;- sampleBy(df, &quot;key&quot;, fractions, 36)
+## 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: Save the contents of the SparkDataFrame to a data source as a...</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 saveAsTable {SparkR}"><tr><td>saveAsTable {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Save the contents of the SparkDataFrame to a data source as a table</h2>
+
+<h3>Description</h3>
+
+<p>The data source is specified by the <code>source</code> and a set of options (...).
+If <code>source</code> is not specified, the default data source configured by
+spark.sql.sources.default will be used.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+saveAsTable(df, tableName, source = NULL, mode = "error", ...)
+
+## S4 method for signature 'SparkDataFrame,character'
+saveAsTable(df, tableName, source = NULL,
+  mode = "error", ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>df</code></td>
+<td>
+<p>a SparkDataFrame.</p>
+</td></tr>
+<tr valign="top"><td><code>tableName</code></td>
+<td>
+<p>a name for the table.</p>
+</td></tr>
+<tr valign="top"><td><code>source</code></td>
+<td>
+<p>a name for external data source.</p>
+</td></tr>
+<tr valign="top"><td><code>mode</code></td>
+<td>
+<p>one of 'append', 'overwrite', 'error', 'errorifexists', 'ignore'
+save mode (it is 'error' by default)</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional option(s) passed to the method.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>Additionally, mode is used to specify the behavior of the save operation when
+data already exists in the data source. There are four modes: <br />
+'append': Contents of this SparkDataFrame are expected to be appended to existing data. <br />
+'overwrite': Existing data is expected to be overwritten by the contents of this
+SparkDataFrame. <br />
+'error' or 'errorifexists': An exception is expected to be thrown. <br />
+'ignore': The save operation is expected to not save the contents of the SparkDataFrame
+and to not change the existing data. <br />
+</p>
+
+
+<h3>Note</h3>
+
+<p>saveAsTable 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="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="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 saveAsTable(df, &quot;myfile&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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