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[38/51] [partial] spark-website git commit: Apache Spark 2.3.0
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http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/spark.survreg.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: Accelerated Failure Time (AFT) Survival Regression Model</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 spark.survreg {SparkR}"><tr><td>spark.survreg {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Accelerated Failure Time (AFT) Survival Regression Model</h2>
+
+<h3>Description</h3>
+
+<p><code>spark.survreg</code> fits an accelerated failure time (AFT) survival regression model on
+a SparkDataFrame. Users can call <code>summary</code> to get a summary of the fitted AFT model,
+<code>predict</code> to make predictions on new data, and <code>write.ml</code>/<code>read.ml</code> to
+save/load fitted models.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+spark.survreg(data, formula, ...)
+
+## S4 method for signature 'SparkDataFrame,formula'
+spark.survreg(data, formula,
+ aggregationDepth = 2, stringIndexerOrderType = c("frequencyDesc",
+ "frequencyAsc", "alphabetDesc", "alphabetAsc"))
+
+## S4 method for signature 'AFTSurvivalRegressionModel'
+summary(object)
+
+## S4 method for signature 'AFTSurvivalRegressionModel'
+predict(object, newData)
+
+## S4 method for signature 'AFTSurvivalRegressionModel,character'
+write.ml(object, path,
+ overwrite = FALSE)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>data</code></td>
+<td>
+<p>a SparkDataFrame for training.</p>
+</td></tr>
+<tr valign="top"><td><code>formula</code></td>
+<td>
+<p>a symbolic description of the model to be fitted. Currently only a few formula
+operators are supported, including '~', ':', '+', and '-'.
+Note that operator '.' is not supported currently.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional arguments passed to the method.</p>
+</td></tr>
+<tr valign="top"><td><code>aggregationDepth</code></td>
+<td>
+<p>The depth for treeAggregate (greater than or equal to 2). If the
+dimensions of features or the number of partitions are large, this
+param could be adjusted to a larger size. This is an expert parameter.
+Default value should be good for most cases.</p>
+</td></tr>
+<tr valign="top"><td><code>stringIndexerOrderType</code></td>
+<td>
+<p>how to order categories of a string feature column. This is used to
+decide the base level of a string feature as the last category
+after ordering is dropped when encoding strings. Supported options
+are "frequencyDesc", "frequencyAsc", "alphabetDesc", and
+"alphabetAsc". The default value is "frequencyDesc". When the
+ordering is set to "alphabetDesc", this drops the same category
+as R when encoding strings.</p>
+</td></tr>
+<tr valign="top"><td><code>object</code></td>
+<td>
+<p>a fitted AFT survival regression model.</p>
+</td></tr>
+<tr valign="top"><td><code>newData</code></td>
+<td>
+<p>a SparkDataFrame for testing.</p>
+</td></tr>
+<tr valign="top"><td><code>path</code></td>
+<td>
+<p>the directory where the model is saved.</p>
+</td></tr>
+<tr valign="top"><td><code>overwrite</code></td>
+<td>
+<p>overwrites or not if the output path already exists. Default is FALSE
+which means throw exception if the output path exists.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p><code>spark.survreg</code> returns a fitted AFT survival regression model.
+</p>
+<p><code>summary</code> returns summary information of the fitted model, which is a list.
+The list includes the model's <code>coefficients</code> (features, coefficients,
+intercept and log(scale)).
+</p>
+<p><code>predict</code> returns a SparkDataFrame containing predicted values
+on the original scale of the data (mean predicted value at scale = 1.0).
+</p>
+
+
+<h3>Note</h3>
+
+<p>spark.survreg since 2.0.0
+</p>
+<p>summary(AFTSurvivalRegressionModel) since 2.0.0
+</p>
+<p>predict(AFTSurvivalRegressionModel) since 2.0.0
+</p>
+<p>write.ml(AFTSurvivalRegressionModel, character) since 2.0.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>survival: <a href="https://cran.r-project.org/package=survival">https://cran.r-project.org/package=survival</a>
+</p>
+<p><a href="write.ml.html">write.ml</a>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D df <- createDataFrame(ovarian)
+##D model <- spark.survreg(df, Surv(futime, fustat) ~ ecog_ps + rx)
+##D
+##D # get a summary of the model
+##D summary(model)
+##D
+##D # make predictions
+##D predicted <- predict(model, df)
+##D showDF(predicted)
+##D
+##D # save and load the model
+##D path <- "path/to/model"
+##D write.ml(model, path)
+##D savedModel <- read.ml(path)
+##D summary(savedModel)
+## 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/spark.svmLinear.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: Linear SVM Model</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 spark.svmLinear {SparkR}"><tr><td>spark.svmLinear {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Linear SVM Model</h2>
+
+<h3>Description</h3>
+
+<p>Fits a linear SVM model against a SparkDataFrame, similar to svm in e1071 package.
+Currently only supports binary classification model with linear kernel.
+Users can print, make predictions on the produced model and save the model to the input path.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+spark.svmLinear(data, formula, ...)
+
+## S4 method for signature 'SparkDataFrame,formula'
+spark.svmLinear(data, formula,
+ regParam = 0, maxIter = 100, tol = 1e-06, standardization = TRUE,
+ threshold = 0, weightCol = NULL, aggregationDepth = 2,
+ handleInvalid = c("error", "keep", "skip"))
+
+## S4 method for signature 'LinearSVCModel'
+predict(object, newData)
+
+## S4 method for signature 'LinearSVCModel'
+summary(object)
+
+## S4 method for signature 'LinearSVCModel,character'
+write.ml(object, path, overwrite = FALSE)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>data</code></td>
+<td>
+<p>SparkDataFrame for training.</p>
+</td></tr>
+<tr valign="top"><td><code>formula</code></td>
+<td>
+<p>A symbolic description of the model to be fitted. Currently only a few formula
+operators are supported, including '~', '.', ':', '+', and '-'.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional arguments passed to the method.</p>
+</td></tr>
+<tr valign="top"><td><code>regParam</code></td>
+<td>
+<p>The regularization parameter. Only supports L2 regularization currently.</p>
+</td></tr>
+<tr valign="top"><td><code>maxIter</code></td>
+<td>
+<p>Maximum iteration number.</p>
+</td></tr>
+<tr valign="top"><td><code>tol</code></td>
+<td>
+<p>Convergence tolerance of iterations.</p>
+</td></tr>
+<tr valign="top"><td><code>standardization</code></td>
+<td>
+<p>Whether to standardize the training features before fitting the model.
+The coefficients of models will be always returned on the original scale,
+so it will be transparent for users. Note that with/without
+standardization, the models should be always converged to the same
+solution when no regularization is applied.</p>
+</td></tr>
+<tr valign="top"><td><code>threshold</code></td>
+<td>
+<p>The threshold in binary classification applied to the linear model prediction.
+This threshold can be any real number, where Inf will make all predictions 0.0
+and -Inf will make all predictions 1.0.</p>
+</td></tr>
+<tr valign="top"><td><code>weightCol</code></td>
+<td>
+<p>The weight column name.</p>
+</td></tr>
+<tr valign="top"><td><code>aggregationDepth</code></td>
+<td>
+<p>The depth for treeAggregate (greater than or equal to 2). If the
+dimensions of features or the number of partitions are large, this param
+could be adjusted to a larger size.
+This is an expert parameter. Default value should be good for most cases.</p>
+</td></tr>
+<tr valign="top"><td><code>handleInvalid</code></td>
+<td>
+<p>How to handle invalid data (unseen labels or NULL values) in features and
+label column of string type.
+Supported options: "skip" (filter out rows with invalid data),
+"error" (throw an error), "keep" (put invalid data in
+a special additional bucket, at index numLabels). Default
+is "error".</p>
+</td></tr>
+<tr valign="top"><td><code>object</code></td>
+<td>
+<p>a LinearSVCModel fitted by <code>spark.svmLinear</code>.</p>
+</td></tr>
+<tr valign="top"><td><code>newData</code></td>
+<td>
+<p>a SparkDataFrame for testing.</p>
+</td></tr>
+<tr valign="top"><td><code>path</code></td>
+<td>
+<p>The directory where the model is saved.</p>
+</td></tr>
+<tr valign="top"><td><code>overwrite</code></td>
+<td>
+<p>Overwrites or not if the output path already exists. Default is FALSE
+which means throw exception if the output path exists.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p><code>spark.svmLinear</code> returns a fitted linear SVM model.
+</p>
+<p><code>predict</code> returns the predicted values based on a LinearSVCModel.
+</p>
+<p><code>summary</code> returns summary information of the fitted model, which is a list.
+The list includes <code>coefficients</code> (coefficients of the fitted model),
+<code>numClasses</code> (number of classes), <code>numFeatures</code> (number of features).
+</p>
+
+
+<h3>Note</h3>
+
+<p>spark.svmLinear since 2.2.0
+</p>
+<p>predict(LinearSVCModel) since 2.2.0
+</p>
+<p>summary(LinearSVCModel) since 2.2.0
+</p>
+<p>write.ml(LogisticRegression, character) since 2.2.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D sparkR.session()
+##D t <- as.data.frame(Titanic)
+##D training <- createDataFrame(t)
+##D model <- spark.svmLinear(training, Survived ~ ., regParam = 0.5)
+##D summary <- summary(model)
+##D
+##D # fitted values on training data
+##D fitted <- predict(model, training)
+##D
+##D # save fitted model to input path
+##D path <- "path/to/model"
+##D write.ml(model, path)
+##D
+##D # can also read back the saved model and predict
+##D # Note that summary deos not work on loaded model
+##D savedModel <- read.ml(path)
+##D summary(savedModel)
+## 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/sparkR.callJMethod.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: Call Java Methods</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 sparkR.callJMethod {SparkR}"><tr><td>sparkR.callJMethod {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Call Java Methods</h2>
+
+<h3>Description</h3>
+
+<p>Call a Java method in the JVM running the Spark driver. The return
+values are automatically converted to R objects for simple objects. Other
+values are returned as "jobj" which are references to objects on JVM.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+sparkR.callJMethod(x, methodName, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>object to invoke the method on. Should be a "jobj" created by newJObject.</p>
+</td></tr>
+<tr valign="top"><td><code>methodName</code></td>
+<td>
+<p>method name to call.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>parameters to pass to the Java method.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>This is a low level function to access the JVM directly and should only be used
+for advanced use cases. The arguments and return values that are primitive R
+types (like integer, numeric, character, lists) are automatically translated to/from
+Java types (like Integer, Double, String, Array). A full list can be found in
+serialize.R and deserialize.R in the Apache Spark code base.
+</p>
+
+
+<h3>Value</h3>
+
+<p>the return value of the Java method. Either returned as a R object
+if it can be deserialized or returned as a "jobj". See details section for more.
+</p>
+
+
+<h3>Note</h3>
+
+<p>sparkR.callJMethod since 2.0.1
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="sparkR.callJStatic.html">sparkR.callJStatic</a>, <a href="sparkR.newJObject.html">sparkR.newJObject</a>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D sparkR.session() # Need to have a Spark JVM running before calling newJObject
+##D # Create a Java ArrayList and populate it
+##D jarray <- sparkR.newJObject("java.util.ArrayList")
+##D sparkR.callJMethod(jarray, "add", 42L)
+##D sparkR.callJMethod(jarray, "get", 0L) # Will print 42
+## 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/sparkR.callJStatic.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: Call Static Java Methods</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 sparkR.callJStatic {SparkR}"><tr><td>sparkR.callJStatic {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Call Static Java Methods</h2>
+
+<h3>Description</h3>
+
+<p>Call a static method in the JVM running the Spark driver. The return
+value is automatically converted to R objects for simple objects. Other
+values are returned as "jobj" which are references to objects on JVM.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+sparkR.callJStatic(x, methodName, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>fully qualified Java class name that contains the static method to invoke.</p>
+</td></tr>
+<tr valign="top"><td><code>methodName</code></td>
+<td>
+<p>name of static method to invoke.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>parameters to pass to the Java method.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>This is a low level function to access the JVM directly and should only be used
+for advanced use cases. The arguments and return values that are primitive R
+types (like integer, numeric, character, lists) are automatically translated to/from
+Java types (like Integer, Double, String, Array). A full list can be found in
+serialize.R and deserialize.R in the Apache Spark code base.
+</p>
+
+
+<h3>Value</h3>
+
+<p>the return value of the Java method. Either returned as a R object
+if it can be deserialized or returned as a "jobj". See details section for more.
+</p>
+
+
+<h3>Note</h3>
+
+<p>sparkR.callJStatic since 2.0.1
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="sparkR.callJMethod.html">sparkR.callJMethod</a>, <a href="sparkR.newJObject.html">sparkR.newJObject</a>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D sparkR.session() # Need to have a Spark JVM running before calling callJStatic
+##D sparkR.callJStatic("java.lang.System", "currentTimeMillis")
+##D sparkR.callJStatic("java.lang.System", "getProperty", "java.home")
+## 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/sparkR.conf.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: Get Runtime Config from the current active SparkSession</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 sparkR.conf {SparkR}"><tr><td>sparkR.conf {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Get Runtime Config from the current active SparkSession</h2>
+
+<h3>Description</h3>
+
+<p>Get Runtime Config from the current active SparkSession.
+To change SparkSession Runtime Config, please see <code>sparkR.session()</code>.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+sparkR.conf(key, defaultValue)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>key</code></td>
+<td>
+<p>(optional) The key of the config to get, if omitted, all config is returned</p>
+</td></tr>
+<tr valign="top"><td><code>defaultValue</code></td>
+<td>
+<p>(optional) The default value of the config to return if they config is not
+set, if omitted, the call fails if the config key is not set</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>a list of config values with keys as their names
+</p>
+
+
+<h3>Note</h3>
+
+<p>sparkR.conf since 2.0.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D sparkR.session()
+##D allConfigs <- sparkR.conf()
+##D masterValue <- unlist(sparkR.conf("spark.master"))
+##D namedConfig <- sparkR.conf("spark.executor.memory", "0g")
+## 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: (Deprecated) Initialize a new Spark Context</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 sparkR.init {SparkR}"><tr><td>sparkR.init {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>(Deprecated) Initialize a new Spark Context</h2>
+
+<h3>Description</h3>
+
+<p>This function initializes a new SparkContext.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+sparkR.init(master = "", appName = "SparkR",
+ sparkHome = Sys.getenv("SPARK_HOME"), sparkEnvir = list(),
+ sparkExecutorEnv = list(), sparkJars = "", sparkPackages = "")
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>master</code></td>
+<td>
+<p>The Spark master URL</p>
+</td></tr>
+<tr valign="top"><td><code>appName</code></td>
+<td>
+<p>Application name to register with cluster manager</p>
+</td></tr>
+<tr valign="top"><td><code>sparkHome</code></td>
+<td>
+<p>Spark Home directory</p>
+</td></tr>
+<tr valign="top"><td><code>sparkEnvir</code></td>
+<td>
+<p>Named list of environment variables to set on worker nodes</p>
+</td></tr>
+<tr valign="top"><td><code>sparkExecutorEnv</code></td>
+<td>
+<p>Named list of environment variables to be used when launching executors</p>
+</td></tr>
+<tr valign="top"><td><code>sparkJars</code></td>
+<td>
+<p>Character vector of jar files to pass to the worker nodes</p>
+</td></tr>
+<tr valign="top"><td><code>sparkPackages</code></td>
+<td>
+<p>Character vector of package coordinates</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>sparkR.init since 1.4.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="sparkR.session.html">sparkR.session</a>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D sc <- sparkR.init("local[2]", "SparkR", "/home/spark")
+##D sc <- sparkR.init("local[2]", "SparkR", "/home/spark",
+##D list(spark.executor.memory="1g"))
+##D sc <- sparkR.init("yarn-client", "SparkR", "/home/spark",
+##D list(spark.executor.memory="4g"),
+##D list(LD_LIBRARY_PATH="/directory of JVM libraries (libjvm.so) on workers/"),
+##D c("one.jar", "two.jar", "three.jar"),
+##D c("com.databricks:spark-avro_2.11:2.0.1"))
+## 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/sparkR.newJObject.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 Java Objects</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 sparkR.newJObject {SparkR}"><tr><td>sparkR.newJObject {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Create Java Objects</h2>
+
+<h3>Description</h3>
+
+<p>Create a new Java object in the JVM running the Spark driver. The return
+value is automatically converted to an R object for simple objects. Other
+values are returned as a "jobj" which is a reference to an object on JVM.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+sparkR.newJObject(x, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>fully qualified Java class name.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>arguments to be passed to the constructor.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>This is a low level function to access the JVM directly and should only be used
+for advanced use cases. The arguments and return values that are primitive R
+types (like integer, numeric, character, lists) are automatically translated to/from
+Java types (like Integer, Double, String, Array). A full list can be found in
+serialize.R and deserialize.R in the Apache Spark code base.
+</p>
+
+
+<h3>Value</h3>
+
+<p>the object created. Either returned as a R object
+if it can be deserialized or returned as a "jobj". See details section for more.
+</p>
+
+
+<h3>Note</h3>
+
+<p>sparkR.newJObject since 2.0.1
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="sparkR.callJMethod.html">sparkR.callJMethod</a>, <a href="sparkR.callJStatic.html">sparkR.callJStatic</a>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D sparkR.session() # Need to have a Spark JVM running before calling newJObject
+##D # Create a Java ArrayList and populate it
+##D jarray <- sparkR.newJObject("java.util.ArrayList")
+##D sparkR.callJMethod(jarray, "add", 42L)
+##D sparkR.callJMethod(jarray, "get", 0L) # Will print 42
+## 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: Get the existing SparkSession or initialize a new...</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 sparkR.session {SparkR}"><tr><td>sparkR.session {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Get the existing SparkSession or initialize a new SparkSession.</h2>
+
+<h3>Description</h3>
+
+<p>SparkSession is the entry point into SparkR. <code>sparkR.session</code> gets the existing
+SparkSession or initializes a new SparkSession.
+Additional Spark properties can be set in <code>...</code>, and these named parameters take priority
+over values in <code>master</code>, <code>appName</code>, named lists of <code>sparkConfig</code>.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+sparkR.session(master = "", appName = "SparkR",
+ sparkHome = Sys.getenv("SPARK_HOME"), sparkConfig = list(),
+ sparkJars = "", sparkPackages = "", enableHiveSupport = TRUE, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>master</code></td>
+<td>
+<p>the Spark master URL.</p>
+</td></tr>
+<tr valign="top"><td><code>appName</code></td>
+<td>
+<p>application name to register with cluster manager.</p>
+</td></tr>
+<tr valign="top"><td><code>sparkHome</code></td>
+<td>
+<p>Spark Home directory.</p>
+</td></tr>
+<tr valign="top"><td><code>sparkConfig</code></td>
+<td>
+<p>named list of Spark configuration to set on worker nodes.</p>
+</td></tr>
+<tr valign="top"><td><code>sparkJars</code></td>
+<td>
+<p>character vector of jar files to pass to the worker nodes.</p>
+</td></tr>
+<tr valign="top"><td><code>sparkPackages</code></td>
+<td>
+<p>character vector of package coordinates</p>
+</td></tr>
+<tr valign="top"><td><code>enableHiveSupport</code></td>
+<td>
+<p>enable support for Hive, fallback if not built with Hive support; once
+set, this cannot be turned off on an existing session</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>named Spark properties passed to the method.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>When called in an interactive session, this method checks for the Spark installation, and, if not
+found, it will be downloaded and cached automatically. Alternatively, <code>install.spark</code> can
+be called manually.
+</p>
+<p>A default warehouse is created automatically in the current directory when a managed table is
+created via <code>sql</code> statement <code>CREATE TABLE</code>, for example. To change the location of the
+warehouse, set the named parameter <code>spark.sql.warehouse.dir</code> to the SparkSession. Along with
+the warehouse, an accompanied metastore may also be automatically created in the current
+directory when a new SparkSession is initialized with <code>enableHiveSupport</code> set to
+<code>TRUE</code>, which is the default. For more details, refer to Hive configuration at
+<a href="http://spark.apache.org/docs/latest/sql-programming-guide.html#hive-tables">http://spark.apache.org/docs/latest/sql-programming-guide.html#hive-tables</a>.
+</p>
+<p>For details on how to initialize and use SparkR, refer to SparkR programming guide at
+<a href="http://spark.apache.org/docs/latest/sparkr.html#starting-up-sparksession">http://spark.apache.org/docs/latest/sparkr.html#starting-up-sparksession</a>.
+</p>
+
+
+<h3>Note</h3>
+
+<p>sparkR.session since 2.0.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D sparkR.session()
+##D df <- read.json(path)
+##D
+##D sparkR.session("local[2]", "SparkR", "/home/spark")
+##D sparkR.session("yarn-client", "SparkR", "/home/spark",
+##D list(spark.executor.memory="4g"),
+##D c("one.jar", "two.jar", "three.jar"),
+##D c("com.databricks:spark-avro_2.11:2.0.1"))
+##D sparkR.session(spark.master = "yarn-client", spark.executor.memory = "4g")
+## 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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+<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 sparkR.session.stop {SparkR}"><tr><td>sparkR.session.stop {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Stop the Spark Session and Spark Context</h2>
+
+<h3>Description</h3>
+
+<p>Stop the Spark Session and Spark Context.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+sparkR.session.stop()
+
+sparkR.stop()
+</pre>
+
+
+<h3>Details</h3>
+
+<p>Also terminates the backend this R session is connected to.
+</p>
+
+
+<h3>Note</h3>
+
+<p>sparkR.session.stop since 2.0.0
+</p>
+<p>sparkR.stop 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/sparkR.uiWebUrl.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: Get the URL of the SparkUI instance for the current active...</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 sparkR.uiWebUrl {SparkR}"><tr><td>sparkR.uiWebUrl {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Get the URL of the SparkUI instance for the current active SparkSession</h2>
+
+<h3>Description</h3>
+
+<p>Get the URL of the SparkUI instance for the current active SparkSession.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+sparkR.uiWebUrl()
+</pre>
+
+
+<h3>Value</h3>
+
+<p>the SparkUI URL, or NA if it is disabled, or not started.
+</p>
+
+
+<h3>Note</h3>
+
+<p>sparkR.uiWebUrl since 2.1.1
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D sparkR.session()
+##D url <- sparkR.uiWebUrl()
+## 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: Get version of Spark on which this application is running</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 sparkR.version {SparkR}"><tr><td>sparkR.version {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Get version of Spark on which this application is running</h2>
+
+<h3>Description</h3>
+
+<p>Get version of Spark on which this application is running.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+sparkR.version()
+</pre>
+
+
+<h3>Value</h3>
+
+<p>a character string of the Spark version
+</p>
+
+
+<h3>Note</h3>
+
+<p>sparkR.version since 2.0.1
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D sparkR.session()
+##D version <- sparkR.version()
+## 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: (Deprecated) Initialize a new HiveContext</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 sparkRHive.init {SparkR}"><tr><td>sparkRHive.init {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>(Deprecated) Initialize a new HiveContext</h2>
+
+<h3>Description</h3>
+
+<p>This function creates a HiveContext from an existing JavaSparkContext
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+sparkRHive.init(jsc = NULL)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>jsc</code></td>
+<td>
+<p>The existing JavaSparkContext created with SparkR.init()</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>Starting SparkR 2.0, a SparkSession is initialized and returned instead.
+This API is deprecated and kept for backward compatibility only.
+</p>
+
+
+<h3>Note</h3>
+
+<p>sparkRHive.init since 1.4.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="sparkR.session.html">sparkR.session</a>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D sc <- sparkR.init()
+##D sqlContext <- sparkRHive.init(sc)
+## 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/sparkRSQL.init-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) Initialize a new SQLContext</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 sparkRSQL.init {SparkR}"><tr><td>sparkRSQL.init {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>(Deprecated) Initialize a new SQLContext</h2>
+
+<h3>Description</h3>
+
+<p>This function creates a SparkContext from an existing JavaSparkContext and
+then uses it to initialize a new SQLContext
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+sparkRSQL.init(jsc = NULL)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>jsc</code></td>
+<td>
+<p>The existing JavaSparkContext created with SparkR.init()</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>Starting SparkR 2.0, a SparkSession is initialized and returned instead.
+This API is deprecated and kept for backward compatibility only.
+</p>
+
+
+<h3>Note</h3>
+
+<p>sparkRSQL.init since 1.4.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="sparkR.session.html">sparkR.session</a>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D sc <- sparkR.init()
+##D sqlContext <- sparkRSQL.init(sc)
+## 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/sql.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: SQL Query</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 sql {SparkR}"><tr><td>sql {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>SQL Query</h2>
+
+<h3>Description</h3>
+
+<p>Executes a SQL query using Spark, returning the result as a SparkDataFrame.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## Default S3 method:
+sql(sqlQuery)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>sqlQuery</code></td>
+<td>
+<p>A character vector containing the SQL query</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>SparkDataFrame
+</p>
+
+
+<h3>Note</h3>
+
+<p>sql since 1.4.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D sparkR.session()
+##D path <- "path/to/file.json"
+##D df <- read.json(path)
+##D createOrReplaceTempView(df, "table")
+##D new_df <- sql("SELECT * FROM table")
+## 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/startsWith.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: startsWith</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 startsWith {SparkR}"><tr><td>startsWith {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>startsWith</h2>
+
+<h3>Description</h3>
+
+<p>Determines if entries of x start with string (entries of) prefix respectively,
+where strings are recycled to common lengths.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+startsWith(x, prefix)
+
+## S4 method for signature 'Column'
+startsWith(x, prefix)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>vector of character string whose "starts" are considered</p>
+</td></tr>
+<tr valign="top"><td><code>prefix</code></td>
+<td>
+<p>character vector (often of length one)</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>startsWith 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="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="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>
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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: status</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 status {SparkR}"><tr><td>status {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>status</h2>
+
+<h3>Description</h3>
+
+<p>Prints the current status of the query in JSON format.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+status(x)
+
+## S4 method for signature 'StreamingQuery'
+status(x)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a StreamingQuery.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>status(StreamingQuery) since 2.2.0
+</p>
+<p>experimental
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other StreamingQuery methods: <code><a href="awaitTermination.html">awaitTermination</a></code>,
+<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="stopQuery.html">stopQuery</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: status(sq)
+</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: stopQuery</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 stopQuery {SparkR}"><tr><td>stopQuery {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>stopQuery</h2>
+
+<h3>Description</h3>
+
+<p>Stops the execution of this query if it is running. This method blocks until the execution is
+stopped.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+stopQuery(x)
+
+## S4 method for signature 'StreamingQuery'
+stopQuery(x)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a StreamingQuery.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>stopQuery(StreamingQuery) since 2.2.0
+</p>
+<p>experimental
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other StreamingQuery methods: <code><a href="awaitTermination.html">awaitTermination</a></code>,
+<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>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: stopQuery(sq)
+</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: StorageLevel</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 storageLevel {SparkR}"><tr><td>storageLevel {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>StorageLevel</h2>
+
+<h3>Description</h3>
+
+<p>Get storagelevel of this SparkDataFrame.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'SparkDataFrame'
+storageLevel(x)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>the SparkDataFrame to get the storageLevel.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>storageLevel since 2.1.0
+</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="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="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 <- "path/to/file.json"
+##D df <- read.json(path)
+##D persist(df, "MEMORY_AND_DISK")
+##D storageLevel(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>
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+<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 str {SparkR}"><tr><td>str {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Compactly display the structure of a dataset</h2>
+
+<h3>Description</h3>
+
+<p>Display the structure of a SparkDataFrame, including column names, column types, as well as a
+a small sample of rows.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'SparkDataFrame'
+str(object)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>object</code></td>
+<td>
+<p>a SparkDataFrame</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>str since 1.6.1
+</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="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="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 # Create a SparkDataFrame from the Iris dataset
+##D irisDF <- createDataFrame(iris)
+##D
+##D # Show the structure of the SparkDataFrame
+##D str(irisDF)
+## 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/structField.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: structField</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 structField {SparkR}"><tr><td>structField {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>structField</h2>
+
+<h3>Description</h3>
+
+<p>Create a structField object that contains the metadata for a single field in a schema.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+structField(x, ...)
+
+## S3 method for class 'jobj'
+structField(x, ...)
+
+## S3 method for class 'character'
+structField(x, type, nullable = TRUE, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>the name of the field.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional argument(s) passed to the method.</p>
+</td></tr>
+<tr valign="top"><td><code>type</code></td>
+<td>
+<p>The data type of the field</p>
+</td></tr>
+<tr valign="top"><td><code>nullable</code></td>
+<td>
+<p>A logical vector indicating whether or not the field is nullable</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>A structField object.
+</p>
+
+
+<h3>Note</h3>
+
+<p>structField since 1.4.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D field1 <- structField("a", "integer")
+##D field2 <- structField("c", "string")
+##D field3 <- structField("avg", "double")
+##D schema <- structType(field1, field2, field3)
+##D df1 <- gapply(df, list("a", "c"),
+##D function(key, x) { y <- data.frame(key, mean(x$b), stringsAsFactors = FALSE) },
+##D schema)
+## 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/structType.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: structType</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 structType {SparkR}"><tr><td>structType {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>structType</h2>
+
+<h3>Description</h3>
+
+<p>Create a structType object that contains the metadata for a SparkDataFrame. Intended for
+use with createDataFrame and toDF.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+structType(x, ...)
+
+## S3 method for class 'jobj'
+structType(x, ...)
+
+## S3 method for class 'structField'
+structType(x, ...)
+
+## S3 method for class 'character'
+structType(x, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a structField object (created with the <code>structField</code> method). Since Spark 2.3,
+this can be a DDL-formatted string, which is a comma separated list of field
+definitions, e.g., "a INT, b STRING".</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional structField objects</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>a structType object
+</p>
+
+
+<h3>Note</h3>
+
+<p>structType since 1.4.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D schema <- structType(structField("a", "integer"), structField("c", "string"),
+##D structField("avg", "double"))
+##D df1 <- gapply(df, list("a", "c"),
+##D function(key, x) { y <- data.frame(key, mean(x$b), stringsAsFactors = FALSE) },
+##D schema)
+##D schema <- structType("a INT, c STRING, avg DOUBLE")
+##D df1 <- gapply(df, list("a", "c"),
+##D function(key, x) { y <- data.frame(key, mean(x$b), stringsAsFactors = FALSE) },
+##D schema)
+## 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/subset.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: Subset</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 subset {SparkR}"><tr><td>subset {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Subset</h2>
+
+<h3>Description</h3>
+
+<p>Return subsets of SparkDataFrame according to given conditions
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+subset(x, ...)
+
+## S4 method for signature 'SparkDataFrame,numericOrcharacter'
+x[[i]]
+
+## S4 replacement method for signature 'SparkDataFrame,numericOrcharacter'
+x[[i]] <- value
+
+## S4 method for signature 'SparkDataFrame'
+x[i, j, ..., drop = F]
+
+## S4 method for signature 'SparkDataFrame'
+subset(x, subset, select, drop = F, ...)
+</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>currently not used.</p>
+</td></tr>
+<tr valign="top"><td><code>i, subset</code></td>
+<td>
+<p>(Optional) a logical expression to filter on rows.
+For extract operator [[ and replacement operator [[<-, the indexing parameter for
+a single Column.</p>
+</td></tr>
+<tr valign="top"><td><code>value</code></td>
+<td>
+<p>a Column or an atomic vector in the length of 1 as literal value, or <code>NULL</code>.
+If <code>NULL</code>, the specified Column is dropped.</p>
+</td></tr>
+<tr valign="top"><td><code>j, select</code></td>
+<td>
+<p>expression for the single Column or a list of columns to select from the
+SparkDataFrame.</p>
+</td></tr>
+<tr valign="top"><td><code>drop</code></td>
+<td>
+<p>if TRUE, a Column will be returned if the resulting dataset has only one column.
+Otherwise, a SparkDataFrame will always be returned.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>A new SparkDataFrame containing only the rows that meet the condition with selected
+columns.
+</p>
+
+
+<h3>Note</h3>
+
+<p>[[ since 1.4.0
+</p>
+<p>[[<- since 2.1.1
+</p>
+<p>[ since 1.4.0
+</p>
+<p>subset since 1.5.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="withColumn.html">withColumn</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="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="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>
+<p>Other subsetting functions: <code><a href="filter.html">filter</a></code>,
+<code><a href="select.html">select</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D # Columns can be selected using [[ and [
+##D df[[2]] == df[["age"]]
+##D df[,2] == df[,"age"]
+##D df[,c("name", "age")]
+##D # Or to filter rows
+##D df[df$age > 20,]
+##D # SparkDataFrame can be subset on both rows and Columns
+##D df[df$name == "Smith", c(1,2)]
+##D df[df$age %in% c(19, 30), 1:2]
+##D subset(df, df$age %in% c(19, 30), 1:2)
+##D subset(df, df$age %in% c(19), select = c(1,2))
+##D subset(df, select = c(1,2))
+##D # Columns can be selected and set
+##D df[["age"]] <- 23
+##D df[[1]] <- df$age
+##D df[[2]] <- NULL # drop column
+## 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/substr.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: substr</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 substr {SparkR}"><tr><td>substr {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>substr</h2>
+
+<h3>Description</h3>
+
+<p>An expression that returns a substring.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'Column'
+substr(x, start, stop)
+</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>start</code></td>
+<td>
+<p>starting position.</p>
+</td></tr>
+<tr valign="top"><td><code>stop</code></td>
+<td>
+<p>ending position.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>substr 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="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>
+</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/summarize.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: summarize</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 agg {SparkR}"><tr><td>agg {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>summarize</h2>
+
+<h3>Description</h3>
+
+<p>Aggregates on the entire SparkDataFrame without groups.
+The resulting SparkDataFrame will also contain the grouping columns.
+</p>
+<p>Compute aggregates by specifying a list of columns
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+agg(x, ...)
+
+summarize(x, ...)
+
+## S4 method for signature 'GroupedData'
+agg(x, ...)
+
+## S4 method for signature 'GroupedData'
+summarize(x, ...)
+
+## S4 method for signature 'SparkDataFrame'
+agg(x, ...)
+
+## S4 method for signature 'SparkDataFrame'
+summarize(x, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a SparkDataFrame or GroupedData.</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>
+</table>
+
+
+<h3>Details</h3>
+
+<p>df2 <- agg(df, <column> = <aggFunction>)
+df2 <- agg(df, newColName = aggFunction(column))
+</p>
+
+
+<h3>Value</h3>
+
+<p>A SparkDataFrame.
+</p>
+
+
+<h3>Note</h3>
+
+<p>agg since 1.4.0
+</p>
+<p>summarize since 1.4.0
+</p>
+<p>agg since 1.4.0
+</p>
+<p>summarize 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="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="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 df2 <- agg(df, age = "sum") # new column name will be created as 'SUM(age#0)'
+##D df3 <- agg(df, ageSum = sum(df$age)) # Creates a new column named ageSum
+##D df4 <- summarize(df, ageSum = max(df$age))
+## 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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