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Posted to commits@spark.apache.org by do...@apache.org on 2023/04/13 15:45:42 UTC

[spark-website] branch asf-site updated: Add v3.2.4 docs (#444)

This is an automated email from the ASF dual-hosted git repository.

dongjoon pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/spark-website.git


The following commit(s) were added to refs/heads/asf-site by this push:
     new 36b8f1deb1 Add v3.2.4 docs (#444)
36b8f1deb1 is described below

commit 36b8f1deb16cde7af7420384e907f41f21f214a4
Author: Dongjoon Hyun <do...@apache.org>
AuthorDate: Thu Apr 13 08:45:28 2023 -0700

    Add v3.2.4 docs (#444)
---
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 site/docs/3.2.4/api/python/_modules/index.html     |   264 +
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 .../scala/org/apache/spark/graphx/EdgeRDD$.html    |   747 +
 .../api/scala/org/apache/spark/graphx/EdgeRDD.html |  2977 ++
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 .../api/scala/org/apache/spark/graphx/Graph$.html  |   810 +
 .../api/scala/org/apache/spark/graphx/Graph.html   |  1303 +
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 ...rtitionStrategy$$CanonicalRandomVertexCut$.html |   649 +
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 .../PartitionStrategy$$EdgePartition2D$.html       |   675 +
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 .../apache/spark/graphx/PartitionStrategy$.html    |   845 +
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 .../api/scala/org/apache/spark/graphx/Pregel$.html |  1033 +
 .../org/apache/spark/graphx/TripletFields.html     |   761 +
 .../scala/org/apache/spark/graphx/VertexRDD$.html  |   807 +
 .../scala/org/apache/spark/graphx/VertexRDD.html   |  3224 ++
 .../apache/spark/graphx/impl/EdgeActiveness.html   |   713 +
 .../org/apache/spark/graphx/impl/EdgeRDDImpl.html  |  2941 ++
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 .../org/apache/spark/graphx/impl/GraphImpl.html    |  1278 +
 .../apache/spark/graphx/impl/VertexRDDImpl.html    |  3143 ++
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 .../spark/graphx/lib/ConnectedComponents$.html     |   707 +
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 .../apache/spark/graphx/lib/SVDPlusPlus$$Conf.html |   810 +
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 .../apache/spark/graphx/lib/ShortestPaths$.html    |   711 +
 .../graphx/lib/StronglyConnectedComponents$.html   |   686 +
 .../apache/spark/graphx/lib/TriangleCount$.html    |   703 +
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 .../org/apache/spark/input/PortableDataStream.html |   739 +
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 .../apache/spark/metrics/JVMOffHeapMemory$.html    |   669 +
 .../apache/spark/metrics/MappedPoolMemory$.html    |   671 +
 .../spark/metrics/OffHeapExecutionMemory$.html     |   671 +
 .../spark/metrics/OffHeapStorageMemory$.html       |   671 +
 .../spark/metrics/OffHeapUnifiedMemory$.html       |   671 +
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 .../apache/spark/metrics/OnHeapStorageMemory$.html |   671 +
 .../apache/spark/metrics/OnHeapUnifiedMemory$.html |   671 +
 .../apache/spark/metrics/ProcessTreeMetrics$.html  |   683 +
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 .../api/scala/org/apache/spark/metrics/index.html  |   932 +
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 .../metrics/source/DoubleAccumulatorSource$.html   |   679 +
 .../metrics/source/DoubleAccumulatorSource.html    |   728 +
 .../spark/metrics/source/HiveCatalogMetrics$.html  |   865 +
 .../metrics/source/LongAccumulatorSource$.html     |   679 +
 .../metrics/source/LongAccumulatorSource.html      |   728 +
 .../org/apache/spark/metrics/source/index.html     |   428 +
 .../api/scala/org/apache/spark/ml/Estimator.html   |  1867 +
 .../api/scala/org/apache/spark/ml/FitEnd.html      |  1053 +
 .../api/scala/org/apache/spark/ml/FitStart.html    |  1053 +
 .../scala/org/apache/spark/ml/LoadInstanceEnd.html |  1053 +
 .../org/apache/spark/ml/LoadInstanceStart.html     |  1053 +
 .../api/scala/org/apache/spark/ml/MLEvent.html     |  1049 +
 .../3.2.4/api/scala/org/apache/spark/ml/Model.html |  1887 +
 .../api/scala/org/apache/spark/ml/Pipeline$.html   |  1081 +
 .../api/scala/org/apache/spark/ml/Pipeline.html    |  2058 +
 .../scala/org/apache/spark/ml/PipelineModel$.html  |  1081 +
 .../scala/org/apache/spark/ml/PipelineModel.html   |  1964 +
 .../scala/org/apache/spark/ml/PipelineStage.html   |  1766 +
 .../scala/org/apache/spark/ml/PredictionModel.html |  2171 +
 .../api/scala/org/apache/spark/ml/Predictor.html   |  2126 +
 .../scala/org/apache/spark/ml/SaveInstanceEnd.html |  1053 +
 .../org/apache/spark/ml/SaveInstanceStart.html     |  1053 +
 .../scala/org/apache/spark/ml/TransformEnd.html    |  1053 +
 .../scala/org/apache/spark/ml/TransformStart.html  |  1053 +
 .../api/scala/org/apache/spark/ml/Transformer.html |  1837 +
 .../org/apache/spark/ml/UnaryTransformer.html      |  1997 +
 .../org/apache/spark/ml/attribute/Attribute$.html  |   704 +
 .../org/apache/spark/ml/attribute/Attribute.html   |   902 +
 .../apache/spark/ml/attribute/AttributeGroup$.html |   702 +
 .../apache/spark/ml/attribute/AttributeGroup.html  |   960 +
 .../apache/spark/ml/attribute/AttributeType$.html  |   761 +
 .../apache/spark/ml/attribute/AttributeType.html   |   699 +
 .../spark/ml/attribute/BinaryAttribute$.html       |   721 +
 .../apache/spark/ml/attribute/BinaryAttribute.html |   943 +
 .../spark/ml/attribute/NominalAttribute$.html      |   721 +
 .../spark/ml/attribute/NominalAttribute.html       |  1093 +
 .../spark/ml/attribute/NumericAttribute$.html      |   721 +
 .../spark/ml/attribute/NumericAttribute.html       |  1103 +
 .../spark/ml/attribute/UnresolvedAttribute$.html   |   897 +
 .../scala/org/apache/spark/ml/attribute/index.html |   848 +
 .../BinaryLogisticRegressionSummary.html           |  1456 +
 .../BinaryLogisticRegressionTrainingSummary.html   |  1503 +
 .../BinaryRandomForestClassificationSummary.html   |  1386 +
 ...yRandomForestClassificationTrainingSummary.html |  1459 +
 .../ml/classification/ClassificationModel.html     |  2061 +
 .../apache/spark/ml/classification/Classifier.html |  2034 +
 .../DecisionTreeClassificationModel$.html          |   842 +
 .../DecisionTreeClassificationModel.html           |  2895 ++
 .../ml/classification/DecisionTreeClassifier$.html |   860 +
 .../ml/classification/DecisionTreeClassifier.html  |  2949 ++
 .../ml/classification/FMClassificationModel$.html  |   842 +
 .../ml/classification/FMClassificationModel.html   |  2895 ++
 .../ml/classification/FMClassificationSummary.html |  1386 +
 .../FMClassificationTrainingSummary.html           |  1431 +
 .../spark/ml/classification/FMClassifier$.html     |   838 +
 .../spark/ml/classification/FMClassifier.html      |  2972 ++
 .../ml/classification/GBTClassificationModel$.html |   842 +
 .../ml/classification/GBTClassificationModel.html  |  3242 ++
 .../spark/ml/classification/GBTClassifier$.html    |   860 +
 .../spark/ml/classification/GBTClassifier.html     |  3355 ++
 .../apache/spark/ml/classification/LinearSVC$.html |   838 +
 .../apache/spark/ml/classification/LinearSVC.html  |  2670 +
 .../spark/ml/classification/LinearSVCModel$.html   |   842 +
 .../spark/ml/classification/LinearSVCModel.html    |  2578 +
 .../spark/ml/classification/LinearSVCSummary.html  |  1386 +
 .../classification/LinearSVCTrainingSummary.html   |  1431 +
 .../ml/classification/LogisticRegression$.html     |   838 +
 .../ml/classification/LogisticRegression.html      |  3269 ++
 .../classification/LogisticRegressionModel$.html   |   842 +
 .../ml/classification/LogisticRegressionModel.html |  3175 ++
 .../classification/LogisticRegressionSummary.html  |  1274 +
 .../LogisticRegressionTrainingSummary.html         |  1324 +
 .../MultilayerPerceptronClassificationModel$.html  |   842 +
 .../MultilayerPerceptronClassificationModel.html   |  2703 +
 .../MultilayerPerceptronClassificationSummary.html |  1206 +
 ...yerPerceptronClassificationTrainingSummary.html |  1251 +
 .../MultilayerPerceptronClassifier$.html           |   838 +
 .../MultilayerPerceptronClassifier.html            |  2737 +
 .../spark/ml/classification/NaiveBayes$.html       |   838 +
 .../apache/spark/ml/classification/NaiveBayes.html |  2421 +
 .../spark/ml/classification/NaiveBayesModel$.html  |   842 +
 .../spark/ml/classification/NaiveBayesModel.html   |  2472 +
 .../apache/spark/ml/classification/OneVsRest$.html |   842 +
 .../apache/spark/ml/classification/OneVsRest.html  |  2257 +
 .../spark/ml/classification/OneVsRestModel$.html   |   842 +
 .../spark/ml/classification/OneVsRestModel.html    |  2162 +
 .../ProbabilisticClassificationModel.html          |  2244 +
 .../ml/classification/ProbabilisticClassifier.html |  2137 +
 .../RandomForestClassificationModel$.html          |   842 +
 .../RandomForestClassificationModel.html           |  3152 ++
 .../RandomForestClassificationSummary.html         |  1230 +
 .../RandomForestClassificationTrainingSummary.html |  1280 +
 .../ml/classification/RandomForestClassifier$.html |   882 +
 .../ml/classification/RandomForestClassifier.html  |  3197 ++
 .../org/apache/spark/ml/classification/index.html  |  1901 +
 .../spark/ml/clustering/BisectingKMeans$.html      |   754 +
 .../spark/ml/clustering/BisectingKMeans.html       |  2163 +
 .../spark/ml/clustering/BisectingKMeansModel$.html |   752 +
 .../spark/ml/clustering/BisectingKMeansModel.html  |  2144 +
 .../ml/clustering/BisectingKMeansSummary.html      |   856 +
 .../spark/ml/clustering/ClusteringSummary.html     |   830 +
 .../spark/ml/clustering/DistributedLDAModel$.html  |   758 +
 .../spark/ml/clustering/DistributedLDAModel.html   |  2743 +
 .../spark/ml/clustering/GaussianMixture$.html      |   754 +
 .../spark/ml/clustering/GaussianMixture.html       |  2207 +
 .../spark/ml/clustering/GaussianMixtureModel$.html |   758 +
 .../spark/ml/clustering/GaussianMixtureModel.html  |  2231 +
 .../ml/clustering/GaussianMixtureSummary.html      |   903 +
 .../org/apache/spark/ml/clustering/KMeans$.html    |   754 +
 .../org/apache/spark/ml/clustering/KMeans.html     |  2278 +
 .../apache/spark/ml/clustering/KMeansModel$.html   |   758 +
 .../apache/spark/ml/clustering/KMeansModel.html    |  2196 +
 .../apache/spark/ml/clustering/KMeansSummary.html  |   856 +
 .../scala/org/apache/spark/ml/clustering/LDA$.html |   752 +
 .../scala/org/apache/spark/ml/clustering/LDA.html  |  2703 +
 .../org/apache/spark/ml/clustering/LDAModel.html   |  2603 +
 .../apache/spark/ml/clustering/LocalLDAModel$.html |   758 +
 .../apache/spark/ml/clustering/LocalLDAModel.html  |  2611 +
 .../ml/clustering/PowerIterationClustering$.html   |   754 +
 .../ml/clustering/PowerIterationClustering.html    |  1665 +
 .../org/apache/spark/ml/clustering/index.html      |  1227 +
 .../evaluation/BinaryClassificationEvaluator$.html |   726 +
 .../evaluation/BinaryClassificationEvaluator.html  |  1655 +
 .../spark/ml/evaluation/ClusteringEvaluator$.html  |   726 +
 .../spark/ml/evaluation/ClusteringEvaluator.html   |  1645 +
 .../spark/ml/evaluation/ClusteringMetrics.html     |   733 +
 .../org/apache/spark/ml/evaluation/Evaluator.html  |  1218 +
 .../MulticlassClassificationEvaluator$.html        |   726 +
 .../MulticlassClassificationEvaluator.html         |  1849 +
 .../MultilabelClassificationEvaluator$.html        |   726 +
 .../MultilabelClassificationEvaluator.html         |  1588 +
 .../spark/ml/evaluation/RankingEvaluator$.html     |   726 +
 .../spark/ml/evaluation/RankingEvaluator.html      |  1589 +
 .../spark/ml/evaluation/RegressionEvaluator$.html  |   726 +
 .../spark/ml/evaluation/RegressionEvaluator.html   |  1652 +
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 .../org/apache/spark/ml/feature/Binarizer.html     |  2203 +
 .../ml/feature/BucketedRandomProjectionLSH$.html   |   972 +
 .../ml/feature/BucketedRandomProjectionLSH.html    |  2181 +
 .../feature/BucketedRandomProjectionLSHModel$.html |   976 +
 .../feature/BucketedRandomProjectionLSHModel.html  |  2188 +
 .../org/apache/spark/ml/feature/Bucketizer$.html   |   972 +
 .../org/apache/spark/ml/feature/Bucketizer.html    |  2331 +
 .../apache/spark/ml/feature/ChiSqSelector$.html    |   972 +
 .../org/apache/spark/ml/feature/ChiSqSelector.html |  2483 +
 ...iSqSelectorModel$$ChiSqSelectorModelWriter.html |  1182 +
 .../spark/ml/feature/ChiSqSelectorModel$.html      |   995 +
 .../spark/ml/feature/ChiSqSelectorModel.html       |  2306 +
 .../apache/spark/ml/feature/CountVectorizer$.html  |   972 +
 .../apache/spark/ml/feature/CountVectorizer.html   |  2290 +
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 .../spark/ml/feature/CountVectorizerModel.html     |  2270 +
 .../scala/org/apache/spark/ml/feature/DCT$.html    |   972 +
 .../api/scala/org/apache/spark/ml/feature/DCT.html |  2053 +
 .../spark/ml/feature/ElementwiseProduct$.html      |   972 +
 .../spark/ml/feature/ElementwiseProduct.html       |  2050 +
 .../apache/spark/ml/feature/FeatureHasher$.html    |   972 +
 .../org/apache/spark/ml/feature/FeatureHasher.html |  2131 +
 .../org/apache/spark/ml/feature/HashingTF$.html    |   978 +
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 .../api/scala/org/apache/spark/ml/feature/IDF.html |  2055 +
 .../org/apache/spark/ml/feature/IDFModel$.html     |   976 +
 .../org/apache/spark/ml/feature/IDFModel.html      |  2083 +
 .../org/apache/spark/ml/feature/Imputer$.html      |   972 +
 .../scala/org/apache/spark/ml/feature/Imputer.html |  2283 +
 .../org/apache/spark/ml/feature/ImputerModel$.html |   976 +
 .../org/apache/spark/ml/feature/ImputerModel.html  |  2201 +
 .../apache/spark/ml/feature/IndexToString$.html    |   972 +
 .../org/apache/spark/ml/feature/IndexToString.html |  2020 +
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 .../org/apache/spark/ml/feature/Interaction.html   |  1962 +
 .../org/apache/spark/ml/feature/LabeledPoint.html  |   991 +
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 .../org/apache/spark/ml/feature/MaxAbsScaler.html  |  2001 +
 .../spark/ml/feature/MaxAbsScalerModel$.html       |   976 +
 .../apache/spark/ml/feature/MaxAbsScalerModel.html |  2004 +
 .../org/apache/spark/ml/feature/MinHashLSH$.html   |   972 +
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 .../apache/spark/ml/feature/MinHashLSHModel.html   |  2153 +
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 .../org/apache/spark/ml/feature/MinMaxScaler.html  |  2118 +
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 .../apache/spark/ml/feature/MinMaxScalerModel.html |  2139 +
 .../scala/org/apache/spark/ml/feature/NGram$.html  |   972 +
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 .../org/apache/spark/ml/feature/Normalizer$.html   |   972 +
 .../org/apache/spark/ml/feature/Normalizer.html    |  2055 +
 .../apache/spark/ml/feature/OneHotEncoder$.html    |   972 +
 .../org/apache/spark/ml/feature/OneHotEncoder.html |  2255 +
 .../spark/ml/feature/OneHotEncoderModel$.html      |   976 +
 .../spark/ml/feature/OneHotEncoderModel.html       |  2249 +
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 .../api/scala/org/apache/spark/ml/feature/PCA.html |  2054 +
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 .../org/apache/spark/ml/feature/PCAModel.html      |  2060 +
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 .../apache/spark/ml/feature/RegexTokenizer.html    |  2259 +
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 .../spark/ml/feature/RobustScalerModel$.html       |   964 +
 .../apache/spark/ml/feature/RobustScalerModel.html |  2168 +
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 .../apache/spark/ml/feature/StandardScaler.html    |  2114 +
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 .../spark/ml/feature/StandardScalerModel.html      |  2094 +
 .../apache/spark/ml/feature/StopWordsRemover$.html |   997 +
 .../apache/spark/ml/feature/StopWordsRemover.html  |  2275 +
 .../apache/spark/ml/feature/StringIndexer$.html    |   972 +
 .../org/apache/spark/ml/feature/StringIndexer.html |  2252 +
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 .../spark/ml/feature/StringIndexerModel.html       |  2348 +
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 .../ml/feature/UnivariateFeatureSelector$.html     |   972 +
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 .../ml/feature/VarianceThresholdSelector$.html     |   972 +
 .../ml/feature/VarianceThresholdSelector.html      |  2054 +
 .../feature/VarianceThresholdSelectorModel$.html   |   976 +
 .../ml/feature/VarianceThresholdSelectorModel.html |  2035 +
 .../apache/spark/ml/feature/VectorAssembler$.html  |   972 +
 .../apache/spark/ml/feature/VectorAssembler.html   |  2025 +
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 .../org/apache/spark/ml/feature/VectorIndexer.html |  2117 +
 .../spark/ml/feature/VectorIndexerModel$.html      |   976 +
 .../spark/ml/feature/VectorIndexerModel.html       |  2118 +
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 .../apache/spark/ml/feature/VectorSizeHint.html    |  2037 +
 .../org/apache/spark/ml/feature/VectorSlicer$.html |   972 +
 .../org/apache/spark/ml/feature/VectorSlicer.html  |  2098 +
 .../org/apache/spark/ml/feature/Word2Vec$.html     |   972 +
 .../org/apache/spark/ml/feature/Word2Vec.html      |  2459 +
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 .../org/apache/spark/ml/feature/Word2VecModel.html |  2391 +
 .../scala/org/apache/spark/ml/feature/index.html   |  3627 ++
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 .../scala/org/apache/spark/ml/fpm/FPGrowth.html    |  1970 +
 .../org/apache/spark/ml/fpm/FPGrowthModel$.html    |   710 +
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 .../org/apache/spark/ml/image/ImageSchema$.html    |   857 +
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 .../org/apache/spark/ml/linalg/DenseMatrix$.html   |   820 +
 .../org/apache/spark/ml/linalg/DenseMatrix.html    |  1293 +
 .../org/apache/spark/ml/linalg/DenseVector$.html   |   708 +
 .../org/apache/spark/ml/linalg/DenseVector.html    |   972 +
 .../org/apache/spark/ml/linalg/Matrices$.html      |   974 +
 .../scala/org/apache/spark/ml/linalg/Matrix.html   |  1269 +
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 .../org/apache/spark/rdd/AsyncRDDActions.html      |  1030 +
 .../scala/org/apache/spark/rdd/CoGroupedRDD.html   |  2908 ++
 .../org/apache/spark/rdd/DoubleRDDFunctions.html   |  1195 +
 .../api/scala/org/apache/spark/rdd/HadoopRDD.html  |  2994 ++
 .../spark/rdd/JdbcRDD$$ConnectionFactory.html      |   669 +
 .../api/scala/org/apache/spark/rdd/JdbcRDD$.html   |   775 +
 .../api/scala/org/apache/spark/rdd/JdbcRDD.html    |  2881 ++
 .../scala/org/apache/spark/rdd/NewHadoopRDD.html   |  2927 ++
 .../org/apache/spark/rdd/OrderedRDDFunctions.html  |  1025 +
 .../org/apache/spark/rdd/PairRDDFunctions.html     |  2274 +
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 .../scala/org/apache/spark/rdd/PartitionGroup.html |   755 +
 .../org/apache/spark/rdd/PartitionPruningRDD$.html |   711 +
 .../org/apache/spark/rdd/PartitionPruningRDD.html  |  2879 ++
 .../3.2.4/api/scala/org/apache/spark/rdd/RDD$.html |   788 +
 .../3.2.4/api/scala/org/apache/spark/rdd/RDD.html  |  2878 ++
 .../api/scala/org/apache/spark/rdd/RDDBarrier.html |   756 +
 .../apache/spark/rdd/SequenceFileRDDFunctions.html |   974 +
 .../scala/org/apache/spark/rdd/ShuffledRDD.html    |  2953 ++
 .../api/scala/org/apache/spark/rdd/UnionRDD$.html  |   690 +
 .../api/scala/org/apache/spark/rdd/UnionRDD.html   |  2890 ++
 .../api/scala/org/apache/spark/rdd/index.html      |  1167 +
 .../spark/resource/ExecutorResourceRequest.html    |   766 +
 .../spark/resource/ExecutorResourceRequests.html   |   845 +
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 .../spark/resource/ResourceProfileBuilder.html     |   835 +
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 .../apache/spark/resource/TaskResourceRequest.html |   725 +
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 .../api/scala/org/apache/spark/resource/index.html |   951 +
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 .../SparkListenerNodeExcludedForStage.html         |   915 +
 .../scheduler/SparkListenerNodeUnblacklisted.html  |   864 +
 .../scheduler/SparkListenerNodeUnexcluded.html     |   867 +
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 .../SparkListenerSpeculativeTaskSubmitted.html     |   862 +
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 .../spark/scheduler/SparkListenerTaskEnd.html      |   942 +
 .../scheduler/SparkListenerTaskGettingResult.html  |   846 +
 .../spark/scheduler/SparkListenerTaskStart.html    |   878 +
 .../spark/scheduler/SparkListenerUnpersistRDD.html |   846 +
 .../SparkListenerUnschedulableTaskSetAdded.html    |   867 +
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 .../org/apache/spark/scheduler/SplitInfo$.html     |   867 +
 .../org/apache/spark/scheduler/SplitInfo.html      |   934 +
 .../org/apache/spark/scheduler/StageInfo.html      |  1082 +
 .../spark/scheduler/StatsReportListener.html       |  1718 +
 .../scala/org/apache/spark/scheduler/TaskInfo.html |  1184 +
 .../org/apache/spark/scheduler/TaskLocality$.html  |  1187 +
 .../spark/scheduler/cluster/ExecutorInfo.html      |   822 +
 .../org/apache/spark/scheduler/cluster/index.html  |   266 +
 .../scala/org/apache/spark/scheduler/index.html    |  1929 +
 .../security/GroupMappingServiceProvider.html      |   652 +
 .../security/HadoopDelegationTokenProvider.html    |   688 +
 .../api/scala/org/apache/spark/security/index.html |   659 +
 .../spark/serializer/DeserializationStream.html    |   783 +
 .../spark/serializer/DummySerializerInstance.html  |   803 +
 .../apache/spark/serializer/JavaSerializer.html    |   783 +
 .../apache/spark/serializer/KryoRegistrator.html   |   673 +
 .../apache/spark/serializer/KryoSerializer.html    |  1036 +
 .../spark/serializer/SerializationStream.html      |   779 +
 .../org/apache/spark/serializer/Serializer.html    |   739 +
 .../spark/serializer/SerializerInstance.html       |   767 +
 .../scala/org/apache/spark/serializer/index.html   |   825 +
 .../apache/spark/shuffle/api/ShuffleDataIO.html    |   717 +
 .../spark/shuffle/api/ShuffleDriverComponents.html |   749 +
 .../shuffle/api/ShuffleExecutorComponents.html     |   733 +
 .../spark/shuffle/api/ShuffleMapOutputWriter.html  |   733 +
 .../spark/shuffle/api/ShufflePartitionWriter.html  |   733 +
 .../api/SingleSpillShuffleMapOutputWriter.html     |   701 +
 .../shuffle/api/WritableByteChannelWrapper.html    |   727 +
 .../scala/org/apache/spark/shuffle/api/index.html  |   415 +
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 .../shuffle/api/metadata/MapOutputMetadata.html    |   661 +
 .../apache/spark/shuffle/api/metadata/index.html   |   297 +
 .../api/scala/org/apache/spark/shuffle/index.html  |   620 +
 .../org/apache/spark/sql/AnalysisException.html    |  1406 +
 .../api/scala/org/apache/spark/sql/Column.html     |  2802 +
 .../api/scala/org/apache/spark/sql/ColumnName.html |  3066 ++
 .../org/apache/spark/sql/CreateTableWriter.html    |  1181 +
 .../org/apache/spark/sql/DataFrameNaFunctions.html |  1475 +
 .../org/apache/spark/sql/DataFrameReader.html      |  1860 +
 .../apache/spark/sql/DataFrameStatFunctions.html   |  1453 +
 .../org/apache/spark/sql/DataFrameWriter.html      |  1414 +
 .../org/apache/spark/sql/DataFrameWriterV2.html    |  1248 +
 .../api/scala/org/apache/spark/sql/Dataset.html    |  4373 ++
 .../scala/org/apache/spark/sql/DatasetHolder.html  |   950 +
 .../api/scala/org/apache/spark/sql/Encoder.html    |   993 +
 .../api/scala/org/apache/spark/sql/Encoders$.html  |  1508 +
 .../org/apache/spark/sql/ExperimentalMethods.html  |   974 +
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 .../apache/spark/sql/LowPrioritySQLImplicits.html  |   965 +
 .../apache/spark/sql/RelationalGroupedDataset.html |  1339 +
 .../3.2.4/api/scala/org/apache/spark/sql/Row$.html |  1058 +
 .../3.2.4/api/scala/org/apache/spark/sql/Row.html  |  1638 +
 .../api/scala/org/apache/spark/sql/RowFactory.html |   963 +
 .../scala/org/apache/spark/sql/RuntimeConfig.html  |  1182 +
 .../scala/org/apache/spark/sql/SQLContext$.html    |  1020 +
 .../apache/spark/sql/SQLContext$implicits$.html    |  1483 +
 .../api/scala/org/apache/spark/sql/SQLContext.html |  2720 +
 .../spark/sql/SQLImplicits$StringToColumn.html     |   693 +
 .../scala/org/apache/spark/sql/SQLImplicits.html   |  1799 +
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 .../scala/org/apache/spark/sql/SparkSession.html   |  2026 +
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 .../spark/sql/SparkSessionExtensionsProvider.html  |  1033 +
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 .../org/apache/spark/sql/catalog/Database.html     |   729 +
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 .../org/apache/spark/sql/columnar/CachedBatch.html |   702 +
 .../spark/sql/columnar/CachedBatchSerializer.html  |   830 +
 .../sql/columnar/SimpleMetricsCachedBatch.html     |   720 +
 .../SimpleMetricsCachedBatchSerializer.html        |  1096 +
 .../scala/org/apache/spark/sql/columnar/index.html |   549 +
 .../spark/sql/connector/ExternalCommandRunner.html |   758 +
 .../sql/connector/catalog/CatalogExtension.html    |  1105 +
 .../catalog/CatalogNotFoundException.html          |  1040 +
 .../spark/sql/connector/catalog/CatalogPlugin.html |   827 +
 .../catalog/DelegatingCatalogExtension.html        |  1175 +
 .../sql/connector/catalog/FunctionCatalog.html     |   856 +
 .../spark/sql/connector/catalog/Identifier.html    |   806 +
 .../sql/connector/catalog/MetadataColumn.html      |   854 +
 .../sql/connector/catalog/NamespaceChange.html     |   771 +
 .../connector/catalog/SessionConfigSupport.html    |   856 +
 .../spark/sql/connector/catalog/StagedTable.html   |   888 +
 .../sql/connector/catalog/StagingTableCatalog.html |  1018 +
 .../catalog/SupportsAtomicPartitionManagement.html |  1088 +
 .../connector/catalog/SupportsCatalogOptions.html  |   872 +
 .../sql/connector/catalog/SupportsDelete.html      |   909 +
 .../connector/catalog/SupportsMetadataColumns.html |   872 +
 .../sql/connector/catalog/SupportsNamespaces.html  |   941 +
 .../catalog/SupportsPartitionManagement.html       |  1021 +
 .../spark/sql/connector/catalog/SupportsRead.html  |   872 +
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 .../apache/spark/sql/connector/catalog/Table.html  |   859 +
 .../sql/connector/catalog/TableCapability.html     |   830 +
 .../spark/sql/connector/catalog/TableCatalog.html  |   973 +
 .../spark/sql/connector/catalog/TableChange.html   |   771 +
 .../spark/sql/connector/catalog/TableProvider.html |   843 +
 .../sql/connector/catalog/TruncatableTable.html    |   877 +
 .../catalog/functions/AggregateFunction.html       |   860 +
 .../connector/catalog/functions/BoundFunction.html |   799 +
 .../sql/connector/catalog/functions/Function.html  |   717 +
 .../catalog/functions/ScalarFunction.html          |   812 +
 .../catalog/functions/UnboundFunction.html         |   746 +
 .../sql/connector/catalog/functions/index.html     |   386 +
 .../apache/spark/sql/connector/catalog/index.html  |   926 +
 .../distributions/ClusteredDistribution.html       |   696 +
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 .../sql/connector/distributions/Distributions.html |   675 +
 .../distributions/OrderedDistribution.html         |   696 +
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 .../spark/sql/connector/distributions/index.html   |   450 +
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 .../sql/connector/expressions/Expressions.html     |   703 +
 .../spark/sql/connector/expressions/Literal.html   |   756 +
 .../sql/connector/expressions/NamedReference.html  |   740 +
 .../sql/connector/expressions/NullOrdering.html    |   765 +
 .../sql/connector/expressions/SortDirection.html   |   781 +
 .../spark/sql/connector/expressions/SortOrder.html |   772 +
 .../spark/sql/connector/expressions/Transform.html |   772 +
 .../expressions/aggregate/AggregateFunc.html       |   727 +
 .../expressions/aggregate/Aggregation.html         |   752 +
 .../sql/connector/expressions/aggregate/Count.html |   778 +
 .../connector/expressions/aggregate/CountStar.html |   746 +
 .../sql/connector/expressions/aggregate/Max.html   |   762 +
 .../sql/connector/expressions/aggregate/Min.html   |   762 +
 .../sql/connector/expressions/aggregate/Sum.html   |   778 +
 .../sql/connector/expressions/aggregate/index.html |   432 +
 .../spark/sql/connector/expressions/index.html     |   535 +
 .../org/apache/spark/sql/connector/index.html      |   539 +
 .../sql/connector/metric/CustomAvgMetric.html      |   746 +
 .../spark/sql/connector/metric/CustomMetric.html   |   727 +
 .../sql/connector/metric/CustomSumMetric.html      |   746 +
 .../sql/connector/metric/CustomTaskMetric.html     |   706 +
 .../apache/spark/sql/connector/metric/index.html   |   427 +
 .../org/apache/spark/sql/connector/read/Batch.html |   782 +
 .../spark/sql/connector/read/InputPartition.html   |   765 +
 .../apache/spark/sql/connector/read/LocalScan.html |   864 +
 .../spark/sql/connector/read/PartitionReader.html  |   829 +
 .../sql/connector/read/PartitionReaderFactory.html |   805 +
 .../org/apache/spark/sql/connector/read/Scan.html  |   851 +
 .../spark/sql/connector/read/ScanBuilder.html      |   771 +
 .../spark/sql/connector/read/Statistics.html       |   782 +
 .../connector/read/SupportsPushDownAggregates.html |   784 +
 .../connector/read/SupportsPushDownFilters.html    |   800 +
 .../read/SupportsPushDownRequiredColumns.html      |   784 +
 .../connector/read/SupportsReportPartitioning.html |   864 +
 .../connector/read/SupportsReportStatistics.html   |   864 +
 .../connector/read/SupportsRuntimeFiltering.html   |   880 +
 .../apache/spark/sql/connector/read/V1Scan.html    |   864 +
 .../org/apache/spark/sql/connector/read/index.html |   712 +
 .../read/partitioning/ClusteredDistribution.html   |   704 +
 .../connector/read/partitioning/Distribution.html  |   688 +
 .../connector/read/partitioning/Partitioning.html  |   718 +
 .../sql/connector/read/partitioning/index.html     |   356 +
 .../read/streaming/CompositeReadLimit.html         |   755 +
 .../read/streaming/ContinuousPartitionReader.html  |   826 +
 .../ContinuousPartitionReaderFactory.html          |   792 +
 .../connector/read/streaming/ContinuousStream.html |   864 +
 .../connector/read/streaming/MicroBatchStream.html |   848 +
 .../spark/sql/connector/read/streaming/Offset.html |   775 +
 .../connector/read/streaming/PartitionOffset.html  |   733 +
 .../connector/read/streaming/ReadAllAvailable.html |   736 +
 .../sql/connector/read/streaming/ReadLimit.html    |   736 +
 .../sql/connector/read/streaming/ReadMaxFiles.html |   755 +
 .../sql/connector/read/streaming/ReadMaxRows.html  |   755 +
 .../sql/connector/read/streaming/ReadMinRows.html  |   771 +
 .../read/streaming/ReportsSourceMetrics.html       |   816 +
 .../connector/read/streaming/SparkDataStream.html  |   803 +
 .../read/streaming/SupportsAdmissionControl.html   |   848 +
 .../spark/sql/connector/read/streaming/index.html  |   632 +
 .../spark/sql/connector/write/BatchWrite.html      |   806 +
 .../spark/sql/connector/write/DataWriter.html      |   816 +
 .../sql/connector/write/DataWriterFactory.html     |   744 +
 .../sql/connector/write/LogicalWriteInfo.html      |   774 +
 .../sql/connector/write/PhysicalWriteInfo.html     |   742 +
 .../write/RequiresDistributionAndOrdering.html     |   840 +
 .../connector/write/SupportsDynamicOverwrite.html  |   801 +
 .../sql/connector/write/SupportsOverwrite.html     |   822 +
 .../sql/connector/write/SupportsTruncate.html      |   806 +
 .../apache/spark/sql/connector/write/V1Write.html  |   808 +
 .../apache/spark/sql/connector/write/Write.html    |   792 +
 .../spark/sql/connector/write/WriteBuilder.html    |   785 +
 .../sql/connector/write/WriterCommitMessage.html   |   725 +
 .../apache/spark/sql/connector/write/index.html    |   650 +
 .../streaming/StreamingDataWriterFactory.html      |   700 +
 .../connector/write/streaming/StreamingWrite.html  |   730 +
 .../spark/sql/connector/write/streaming/index.html |   317 +
 .../apache/spark/sql/expressions/Aggregator.html   |   846 +
 .../sql/expressions/MutableAggregationBuffer.html  |  1396 +
 .../expressions/UserDefinedAggregateFunction.html  |   924 +
 .../spark/sql/expressions/UserDefinedFunction.html |   808 +
 .../org/apache/spark/sql/expressions/Window$.html  |   921 +
 .../org/apache/spark/sql/expressions/Window.html   |   702 +
 .../apache/spark/sql/expressions/WindowSpec.html   |   859 +
 .../org/apache/spark/sql/expressions/index.html    |   671 +
 .../spark/sql/expressions/javalang/index.html      |   294 +
 .../spark/sql/expressions/javalang/typed.html      |   678 +
 .../spark/sql/expressions/scalalang/index.html     |   319 +
 .../spark/sql/expressions/scalalang/typed$.html    |   728 +
 .../api/scala/org/apache/spark/sql/functions$.html |  8991 ++++
 .../api/scala/org/apache/spark/sql/index.html      |  1901 +
 .../spark/sql/jdbc/JdbcConnectionProvider.html     |   764 +
 .../org/apache/spark/sql/jdbc/JdbcDialect.html     |  1354 +
 .../org/apache/spark/sql/jdbc/JdbcDialects$.html   |   711 +
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diff --git a/site/docs/3.2.4/README.html b/site/docs/3.2.4/README.html
new file mode 100644
index 0000000000..fa375ad92a
--- /dev/null
+++ b/site/docs/3.2.4/README.html
@@ -0,0 +1,108 @@
+<p>Welcome to the Spark documentation!</p>
+
+<p>This readme will walk you through navigating and building the Spark documentation, which is included
+here with the Spark source code. You can also find documentation specific to release versions of
+Spark at https://spark.apache.org/documentation.html.</p>
+
+<p>Read on to learn more about viewing documentation in plain text (i.e., markdown) or building the
+documentation yourself. Why build it yourself? So that you have the docs that correspond to
+whichever version of Spark you currently have checked out of revision control.</p>
+
+<h2 id="prerequisites">Prerequisites</h2>
+
+<p>The Spark documentation build uses a number of tools to build HTML docs and API docs in Scala, Java,
+Python, R and SQL.</p>
+
+<p>You need to have <a href="https://www.ruby-lang.org/en/documentation/installation/">Ruby</a> and
+<a href="https://docs.python.org/2/using/unix.html#getting-and-installing-the-latest-version-of-python">Python</a>
+installed. Make sure the <code class="language-plaintext highlighter-rouge">bundle</code> command is available, if not install the Gem containing it:</p>
+
+<div class="language-sh highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="nv">$ </span><span class="nb">sudo </span>gem <span class="nb">install </span>bundler
+</code></pre></div></div>
+
+<p>After this all the required ruby dependencies can be installed from the <code class="language-plaintext highlighter-rouge">docs/</code> directory via the Bundler:</p>
+
+<div class="language-sh highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="nv">$ </span><span class="nb">cd </span>docs
+<span class="nv">$ </span>bundle <span class="nb">install</span>
+</code></pre></div></div>
+
+<p>Note: If you are on a system with both Ruby 1.9 and Ruby 2.0 you may need to replace gem with gem2.0.</p>
+
+<h3 id="r-documentation">R Documentation</h3>
+
+<p>If you&#8217;d like to generate R documentation, you&#8217;ll need to <a href="https://pandoc.org/installing.html">install Pandoc</a>
+and install these libraries:</p>
+
+<div class="language-sh highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="nv">$ </span><span class="nb">sudo </span>Rscript <span class="nt">-e</span> <span class="s1">'install.packages(c("knitr", "devtools", "testthat", "rmarkdown"), repos="https://cloud.r-project.org/")'</span>
+<span class="nv">$ </span><span class="nb">sudo </span>Rscript <span class="nt">-e</span> <span class="s1">'devtools::install_version("roxygen2", version = "7.1.1", repos="https://cloud.r-project.org/")'</span>
+</code></pre></div></div>
+
+<p>Note: Other versions of roxygen2 might work in SparkR documentation generation but <code class="language-plaintext highlighter-rouge">RoxygenNote</code> field in <code class="language-plaintext highlighter-rouge">$SPARK_HOME/R/pkg/DESCRIPTION</code> is 7.1.1, which is updated if the version is mismatched.</p>
+
+<h3 id="api-documentation">API Documentation</h3>
+
+<p>To generate API docs for any language, you&#8217;ll need to install these libraries:</p>
+
+<!--
+TODO(SPARK-32407): Sphinx 3.1+ does not correctly index nested classes.
+See also https://github.com/sphinx-doc/sphinx/issues/7551.
+
+TODO(SPARK-35375): Jinja2 3.0.0+ causes error when building with Sphinx.
+See also https://issues.apache.org/jira/browse/SPARK-35375.
+-->
+
+<div class="language-sh highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="nv">$ </span><span class="nb">sudo </span>pip <span class="nb">install</span> <span class="s1">'sphinx&lt;3.1.0'</span> mkdocs numpy pydata_sphinx_theme ipython nbsphinx numpydoc sphinx-plotly-directive <span class="s1">'jinja2&lt;3.0.0'</span>
+</code></pre></div></div>
+
+<h2 id="generating-the-documentation-html">Generating the Documentation HTML</h2>
+
+<p>We include the Spark documentation as part of the source (as opposed to using a hosted wiki, such as
+the github wiki, as the definitive documentation) to enable the documentation to evolve along with
+the source code and be captured by revision control (currently git). This way the code automatically
+includes the version of the documentation that is relevant regardless of which version or release
+you have checked out or downloaded.</p>
+
+<p>In this directory you will find text files formatted using Markdown, with an &#8220;.md&#8221; suffix. You can
+read those text files directly if you want. Start with <code class="language-plaintext highlighter-rouge">index.md</code>.</p>
+
+<p>Execute <code class="language-plaintext highlighter-rouge">bundle exec jekyll build</code> from the <code class="language-plaintext highlighter-rouge">docs/</code> directory to compile the site. Compiling the site with
+Jekyll will create a directory called <code class="language-plaintext highlighter-rouge">_site</code> containing <code class="language-plaintext highlighter-rouge">index.html</code> as well as the rest of the
+compiled files.</p>
+
+<div class="language-sh highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="nv">$ </span><span class="nb">cd </span>docs
+<span class="nv">$ </span>bundle <span class="nb">exec </span>jekyll build
+</code></pre></div></div>
+
+<p>You can modify the default Jekyll build as follows:</p>
+
+<div class="language-sh highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="c"># Skip generating API docs (which takes a while)</span>
+<span class="nv">$ SKIP_API</span><span class="o">=</span>1 bundle <span class="nb">exec </span>jekyll build
+
+<span class="c"># Serve content locally on port 4000</span>
+<span class="nv">$ </span>bundle <span class="nb">exec </span>jekyll serve <span class="nt">--watch</span>
+
+<span class="c"># Build the site with extra features used on the live page</span>
+<span class="nv">$ PRODUCTION</span><span class="o">=</span>1 bundle <span class="nb">exec </span>jekyll build
+</code></pre></div></div>
+
+<h2 id="api-docs-scaladoc-javadoc-sphinx-roxygen2-mkdocs">API Docs (Scaladoc, Javadoc, Sphinx, roxygen2, MkDocs)</h2>
+
+<p>You can build just the Spark scaladoc and javadoc by running <code class="language-plaintext highlighter-rouge">./build/sbt unidoc</code> from the <code class="language-plaintext highlighter-rouge">$SPARK_HOME</code> directory.</p>
+
+<p>Similarly, you can build just the PySpark docs by running <code class="language-plaintext highlighter-rouge">make html</code> from the
+<code class="language-plaintext highlighter-rouge">$SPARK_HOME/python/docs</code> directory. Documentation is only generated for classes that are listed as
+public in <code class="language-plaintext highlighter-rouge">__init__.py</code>. The SparkR docs can be built by running <code class="language-plaintext highlighter-rouge">$SPARK_HOME/R/create-docs.sh</code>, and
+the SQL docs can be built by running <code class="language-plaintext highlighter-rouge">$SPARK_HOME/sql/create-docs.sh</code>
+after <a href="https://github.com/apache/spark#building-spark">building Spark</a> first.</p>
+
+<p>When you run <code class="language-plaintext highlighter-rouge">bundle exec jekyll build</code> in the <code class="language-plaintext highlighter-rouge">docs</code> directory, it will also copy over the scaladoc and javadoc for the various
+Spark subprojects into the <code class="language-plaintext highlighter-rouge">docs</code> directory (and then also into the <code class="language-plaintext highlighter-rouge">_site</code> directory). We use a
+jekyll plugin to run <code class="language-plaintext highlighter-rouge">./build/sbt unidoc</code> before building the site so if you haven&#8217;t run it (recently) it
+may take some time as it generates all of the scaladoc and javadoc using <a href="https://github.com/sbt/sbt-unidoc">Unidoc</a>.
+The jekyll plugin also generates the PySpark docs using <a href="http://sphinx-doc.org/">Sphinx</a>, SparkR docs
+using <a href="https://cran.r-project.org/web/packages/roxygen2/index.html">roxygen2</a> and SQL docs
+using <a href="https://www.mkdocs.org/">MkDocs</a>.</p>
+
+<p>NOTE: To skip the step of building and copying over the Scala, Java, Python, R and SQL API docs, run <code class="language-plaintext highlighter-rouge">SKIP_API=1
+bundle exec jekyll build</code>. In addition, <code class="language-plaintext highlighter-rouge">SKIP_SCALADOC=1</code>, <code class="language-plaintext highlighter-rouge">SKIP_PYTHONDOC=1</code>, <code class="language-plaintext highlighter-rouge">SKIP_RDOC=1</code> and <code class="language-plaintext highlighter-rouge">SKIP_SQLDOC=1</code> can be used
+to skip a single step of the corresponding language. <code class="language-plaintext highlighter-rouge">SKIP_SCALADOC</code> indicates skipping both the Scala and Java docs.</p>
diff --git a/site/docs/3.2.4/api/DESCRIPTION b/site/docs/3.2.4/api/DESCRIPTION
new file mode 100644
index 0000000000..4cd012c146
--- /dev/null
+++ b/site/docs/3.2.4/api/DESCRIPTION
@@ -0,0 +1,66 @@
+Package: SparkR
+Type: Package
+Version: 3.2.4
+Title: R Front End for 'Apache Spark'
+Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
+Authors@R: c(person("Shivaram", "Venkataraman", role = "aut",
+                    email = "shivaram@cs.berkeley.edu"),
+             person("Xiangrui", "Meng", role = "aut",
+                    email = "meng@databricks.com"),
+             person("Felix", "Cheung", role = c("aut", "cre"),
+                    email = "felixcheung@apache.org"),
+             person(family = "The Apache Software Foundation", role = c("aut", "cph")))
+License: Apache License (== 2.0)
+URL: https://www.apache.org https://spark.apache.org
+BugReports: https://spark.apache.org/contributing.html
+SystemRequirements: Java (>= 8, < 12)
+Depends:
+    R (>= 3.5),
+    methods
+Suggests:
+    knitr,
+    rmarkdown,
+    markdown,
+    testthat,
+    e1071,
+    survival,
+    arrow (>= 1.0.0)
+Collate:
+    'schema.R'
+    'generics.R'
+    'jobj.R'
+    'column.R'
+    'group.R'
+    'RDD.R'
+    'pairRDD.R'
+    'DataFrame.R'
+    'SQLContext.R'
+    'WindowSpec.R'
+    'backend.R'
+    'broadcast.R'
+    'catalog.R'
+    'client.R'
+    'context.R'
+    'deserialize.R'
+    'functions.R'
+    'install.R'
+    'jvm.R'
+    'mllib_classification.R'
+    'mllib_clustering.R'
+    'mllib_fpm.R'
+    'mllib_recommendation.R'
+    'mllib_regression.R'
+    'mllib_stat.R'
+    'mllib_tree.R'
+    'mllib_utils.R'
+    'serialize.R'
+    'sparkR.R'
+    'stats.R'
+    'streaming.R'
+    'types.R'
+    'utils.R'
+    'window.R'
+RoxygenNote: 7.2.3
+VignetteBuilder: knitr
+NeedsCompilation: no
+Encoding: UTF-8
diff --git a/site/docs/3.2.4/api/R/00Index.html b/site/docs/3.2.4/api/R/00Index.html
new file mode 100644
index 0000000000..417a763556
--- /dev/null
+++ b/site/docs/3.2.4/api/R/00Index.html
@@ -0,0 +1,2148 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: R Front End for 'Apache Spark'</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+</head><body><div class="container">
+<h1> R Front End for 'Apache Spark'
+<img class="toplogo" src="http://stat.ethz.ch/R-manual/R-devel/doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="http://stat.ethz.ch/R-manual/R-devel/doc/html/packages.html"><img class="arrow" src="http://stat.ethz.ch/R-manual/R-devel/doc/html/left.jpg" alt="[Up]" /></a>
+<a href="http://stat.ethz.ch/R-manual/R-devel/doc/html/index.html"><img class="arrow" src="http://stat.ethz.ch/R-manual/R-devel/doc/html/up.jpg" alt="[Top]" /></a>
+</div><h2>Documentation for package &lsquo;SparkR&rsquo; version 3.2.4</h2>
+
+<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
+</ul>
+
+<h2>Help Pages</h2>
+
+
+<p style="text-align: center;">
+<a href="#A">A</a>
+<a href="#B">B</a>
+<a href="#C">C</a>
+<a href="#D">D</a>
+<a href="#E">E</a>
+<a href="#F">F</a>
+<a href="#G">G</a>
+<a href="#H">H</a>
+<a href="#I">I</a>
+<a href="#J">J</a>
+<a href="#K">K</a>
+<a href="#L">L</a>
+<a href="#M">M</a>
+<a href="#N">N</a>
+<a href="#O">O</a>
+<a href="#P">P</a>
+<a href="#Q">Q</a>
+<a href="#R">R</a>
+<a href="#S">S</a>
+<a href="#T">T</a>
+<a href="#U">U</a>
+<a href="#V">V</a>
+<a href="#W">W</a>
+<a href="#X">X</a>
+<a href="#Y">Y</a>
+<a href="#misc">misc</a>
+</p>
+
+
+<h2><a id="A">-- A --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="column_math_functions.html">abs</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">abs-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">acos</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">acos-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">acosh</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">acosh-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_diff_functions.html">add_months</a></td>
+<td>Date time arithmetic functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_diff_functions.html">add_months-method</a></td>
+<td>Date time arithmetic functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="AFTSurvivalRegressionModel-class.html">AFTSurvivalRegressionModel-class</a></td>
+<td>S4 class that represents a AFTSurvivalRegressionModel</td></tr>
+<tr><td style="width: 25%;"><a href="summarize.html">agg</a></td>
+<td>summarize</td></tr>
+<tr><td style="width: 25%;"><a href="summarize.html">agg-method</a></td>
+<td>summarize</td></tr>
+<tr><td style="width: 25%;"><a href="alias.html">alias</a></td>
+<td>alias</td></tr>
+<tr><td style="width: 25%;"><a href="alias.html">alias-method</a></td>
+<td>alias</td></tr>
+<tr><td style="width: 25%;"><a href="ALSModel-class.html">ALSModel-class</a></td>
+<td>S4 class that represents an ALSModel</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">approxCountDistinct</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">approxCountDistinct-method</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="approxQuantile.html">approxQuantile</a></td>
+<td>Calculates the approximate quantiles of numerical columns of a SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="approxQuantile.html">approxQuantile-method</a></td>
+<td>Calculates the approximate quantiles of numerical columns of a SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">approx_count_distinct</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">approx_count_distinct-method</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="arrange.html">arrange</a></td>
+<td>Arrange Rows by Variables</td></tr>
+<tr><td style="width: 25%;"><a href="arrange.html">arrange-method</a></td>
+<td>Arrange Rows by Variables</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">arrays_overlap</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">arrays_overlap-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">arrays_zip</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">arrays_zip-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">arrays_zip_with</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">arrays_zip_with-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_aggregate</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_aggregate-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_contains</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_contains-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_distinct</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_distinct-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_except</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_except-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_exists</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_exists-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_filter</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_filter-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_forall</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_forall-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_intersect</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_intersect-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_join</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_join-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_max</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_max-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_min</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_min-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_position</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_position-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_remove</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_remove-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_repeat</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_repeat-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_sort</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_sort-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_ml_functions.html">array_to_vector</a></td>
+<td>ML functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_ml_functions.html">array_to_vector-method</a></td>
+<td>ML functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_transform</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_transform-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_union</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">array_union-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="as.data.frame.html">as.data.frame</a></td>
+<td>Download data from a SparkDataFrame into a R data.frame</td></tr>
+<tr><td style="width: 25%;"><a href="as.data.frame.html">as.data.frame-method</a></td>
+<td>Download data from a SparkDataFrame into a R data.frame</td></tr>
+<tr><td style="width: 25%;"><a href="createDataFrame.html">as.DataFrame</a></td>
+<td>Create a SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="columnfunctions.html">asc</a></td>
+<td>A set of operations working with SparkDataFrame columns</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">ascii</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">ascii-method</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="columnfunctions.html">asc_nulls_first</a></td>
+<td>A set of operations working with SparkDataFrame columns</td></tr>
+<tr><td style="width: 25%;"><a href="columnfunctions.html">asc_nulls_last</a></td>
+<td>A set of operations working with SparkDataFrame columns</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">asin</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">asin-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">asinh</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">asinh-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_misc_functions.html">assert_true</a></td>
+<td>Miscellaneous functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_misc_functions.html">assert_true-method</a></td>
+<td>Miscellaneous functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="spark.fpGrowth.html">associationRules-method</a></td>
+<td>FP-growth</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">atan</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">atan-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">atan2</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">atan2-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">atanh</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">atanh-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="attach.html">attach</a></td>
+<td>Attach SparkDataFrame to R search path</td></tr>
+<tr><td style="width: 25%;"><a href="attach.html">attach-method</a></td>
+<td>Attach SparkDataFrame to R search path</td></tr>
+<tr><td style="width: 25%;"><a href="avg.html">avg</a></td>
+<td>avg</td></tr>
+<tr><td style="width: 25%;"><a href="avg.html">avg-method</a></td>
+<td>avg</td></tr>
+<tr><td style="width: 25%;"><a href="awaitTermination.html">awaitTermination</a></td>
+<td>awaitTermination</td></tr>
+<tr><td style="width: 25%;"><a href="awaitTermination.html">awaitTermination-method</a></td>
+<td>awaitTermination</td></tr>
+</table>
+
+<h2><a id="B">-- B --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="column_string_functions.html">base64</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">base64-method</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="between.html">between</a></td>
+<td>between</td></tr>
+<tr><td style="width: 25%;"><a href="between.html">between-method</a></td>
+<td>between</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">bin</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">bin-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="BisectingKMeansModel-class.html">BisectingKMeansModel-class</a></td>
+<td>S4 class that represents a BisectingKMeansModel</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">bitwiseNOT</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">bitwiseNOT-method</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">bitwise_not</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">bitwise_not-method</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="broadcast.html">broadcast</a></td>
+<td>broadcast</td></tr>
+<tr><td style="width: 25%;"><a href="broadcast.html">broadcast-method</a></td>
+<td>broadcast</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">bround</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">bround-method</a></td>
+<td>Math functions for Column operations</td></tr>
+</table>
+
+<h2><a id="C">-- C --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="cache.html">cache</a></td>
+<td>Cache</td></tr>
+<tr><td style="width: 25%;"><a href="cache.html">cache-method</a></td>
+<td>Cache</td></tr>
+<tr><td style="width: 25%;"><a href="cacheTable.html">cacheTable</a></td>
+<td>Cache Table</td></tr>
+<tr><td style="width: 25%;"><a href="cancelJobGroup.html">cancelJobGroup</a></td>
+<td>Cancel active jobs for the specified group</td></tr>
+<tr><td style="width: 25%;"><a href="cast.html">cast</a></td>
+<td>Casts the column to a different data type.</td></tr>
+<tr><td style="width: 25%;"><a href="cast.html">cast-method</a></td>
+<td>Casts the column to a different data type.</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">cbrt</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">cbrt-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">ceil</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">ceil-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">ceiling</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">ceiling-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="checkpoint.html">checkpoint</a></td>
+<td>checkpoint</td></tr>
+<tr><td style="width: 25%;"><a href="checkpoint.html">checkpoint-method</a></td>
+<td>checkpoint</td></tr>
+<tr><td style="width: 25%;"><a href="clearCache.html">clearCache</a></td>
+<td>Clear Cache</td></tr>
+<tr><td style="width: 25%;"><a href="clearJobGroup.html">clearJobGroup</a></td>
+<td>Clear current job group ID and its description</td></tr>
+<tr><td style="width: 25%;"><a href="coalesce.html">coalesce</a></td>
+<td>Coalesce</td></tr>
+<tr><td style="width: 25%;"><a href="coalesce.html">coalesce-method</a></td>
+<td>Coalesce</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">coalesce-method</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="collect.html">collect</a></td>
+<td>Collects all the elements of a SparkDataFrame and coerces them into an R data.frame.</td></tr>
+<tr><td style="width: 25%;"><a href="collect.html">collect-method</a></td>
+<td>Collects all the elements of a SparkDataFrame and coerces them into an R data.frame.</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">collect_list</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">collect_list-method</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">collect_set</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">collect_set-method</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="columns.html">colnames</a></td>
+<td>Column Names of SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="columns.html">colnames-method</a></td>
+<td>Column Names of SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="columns.html">colnames&lt;-</a></td>
+<td>Column Names of SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="columns.html">colnames&lt;--method</a></td>
+<td>Column Names of SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="coltypes.html">coltypes</a></td>
+<td>coltypes</td></tr>
+<tr><td style="width: 25%;"><a href="coltypes.html">coltypes-method</a></td>
+<td>coltypes</td></tr>
+<tr><td style="width: 25%;"><a href="coltypes.html">coltypes&lt;-</a></td>
+<td>coltypes</td></tr>
+<tr><td style="width: 25%;"><a href="coltypes.html">coltypes&lt;--method</a></td>
+<td>coltypes</td></tr>
+<tr><td style="width: 25%;"><a href="column.html">column</a></td>
+<td>S4 class that represents a SparkDataFrame column</td></tr>
+<tr><td style="width: 25%;"><a href="column.html">Column-class</a></td>
+<td>S4 class that represents a SparkDataFrame column</td></tr>
+<tr><td style="width: 25%;"><a href="column.html">column-method</a></td>
+<td>S4 class that represents a SparkDataFrame column</td></tr>
+<tr><td style="width: 25%;"><a href="columnfunctions.html">columnfunctions</a></td>
+<td>A set of operations working with SparkDataFrame columns</td></tr>
+<tr><td style="width: 25%;"><a href="columns.html">columns</a></td>
+<td>Column Names of SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="columns.html">columns-method</a></td>
+<td>Column Names of SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">column_aggregate_functions</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_avro_functions.html">column_avro_functions</a></td>
+<td>Avro processing functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">column_collection_functions</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_diff_functions.html">column_datetime_diff_functions</a></td>
+<td>Date time arithmetic functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">column_datetime_functions</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">column_math_functions</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_misc_functions.html">column_misc_functions</a></td>
+<td>Miscellaneous functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_ml_functions.html">column_ml_functions</a></td>
+<td>ML functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">column_nonaggregate_functions</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">column_string_functions</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_window_functions.html">column_window_functions</a></td>
+<td>Window functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">concat</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">concat-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">concat_ws</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">concat_ws-method</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="columnfunctions.html">contains</a></td>
+<td>A set of operations working with SparkDataFrame columns</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">conv</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">conv-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="corr.html">corr</a></td>
+<td>corr</td></tr>
+<tr><td style="width: 25%;"><a href="corr.html">corr-method</a></td>
+<td>corr</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">cos</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">cos-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">cosh</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">cosh-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="count.html">count</a></td>
+<td>Count</td></tr>
+<tr><td style="width: 25%;"><a href="count.html">count-method</a></td>
+<td>Count</td></tr>
+<tr><td style="width: 25%;"><a href="nrow.html">count-method</a></td>
+<td>Returns the number of rows in a SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">countDistinct</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">countDistinct-method</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">count_distinct</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">count_distinct-method</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="cov.html">cov</a></td>
+<td>cov</td></tr>
+<tr><td style="width: 25%;"><a href="cov.html">cov-method</a></td>
+<td>cov</td></tr>
+<tr><td style="width: 25%;"><a href="cov.html">covar_pop</a></td>
+<td>cov</td></tr>
+<tr><td style="width: 25%;"><a href="cov.html">covar_pop-method</a></td>
+<td>cov</td></tr>
+<tr><td style="width: 25%;"><a href="cov.html">covar_samp</a></td>
+<td>cov</td></tr>
+<tr><td style="width: 25%;"><a href="cov.html">covar_samp-method</a></td>
+<td>cov</td></tr>
+<tr><td style="width: 25%;"><a href="column_misc_functions.html">crc32</a></td>
+<td>Miscellaneous functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_misc_functions.html">crc32-method</a></td>
+<td>Miscellaneous functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="createDataFrame.html">createDataFrame</a></td>
+<td>Create a SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="createExternalTable-deprecated.html">createExternalTable</a></td>
+<td>(Deprecated) Create an external table</td></tr>
+<tr><td style="width: 25%;"><a href="createOrReplaceTempView.html">createOrReplaceTempView</a></td>
+<td>Creates a temporary view using the given name.</td></tr>
+<tr><td style="width: 25%;"><a href="createOrReplaceTempView.html">createOrReplaceTempView-method</a></td>
+<td>Creates a temporary view using the given name.</td></tr>
+<tr><td style="width: 25%;"><a href="createTable.html">createTable</a></td>
+<td>Creates a table based on the dataset in a data source</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">create_array</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">create_array-method</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="create_lambda.html">create_lambda</a></td>
+<td>Create o.a.s.sql.expressions.LambdaFunction corresponding to transformation described by func. Used by higher order functions.</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">create_map</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">create_map-method</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="crossJoin.html">crossJoin</a></td>
+<td>CrossJoin</td></tr>
+<tr><td style="width: 25%;"><a href="crossJoin.html">crossJoin-method</a></td>
+<td>CrossJoin</td></tr>
+<tr><td style="width: 25%;"><a href="crosstab.html">crosstab</a></td>
+<td>Computes a pair-wise frequency table of the given columns</td></tr>
+<tr><td style="width: 25%;"><a href="crosstab.html">crosstab-method</a></td>
+<td>Computes a pair-wise frequency table of the given columns</td></tr>
+<tr><td style="width: 25%;"><a href="cube.html">cube</a></td>
+<td>cube</td></tr>
+<tr><td style="width: 25%;"><a href="cube.html">cube-method</a></td>
+<td>cube</td></tr>
+<tr><td style="width: 25%;"><a href="column_window_functions.html">cume_dist</a></td>
+<td>Window functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_window_functions.html">cume_dist-method</a></td>
+<td>Window functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="currentDatabase.html">currentDatabase</a></td>
+<td>Returns the current default database</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">current_date</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">current_date-method</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">current_timestamp</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">current_timestamp-method</a></td>
+<td>Date time functions for Column operations</td></tr>
+</table>
+
+<h2><a id="D">-- D --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="dapply.html">dapply</a></td>
+<td>dapply</td></tr>
+<tr><td style="width: 25%;"><a href="dapply.html">dapply-method</a></td>
+<td>dapply</td></tr>
+<tr><td style="width: 25%;"><a href="dapplyCollect.html">dapplyCollect</a></td>
+<td>dapplyCollect</td></tr>
+<tr><td style="width: 25%;"><a href="dapplyCollect.html">dapplyCollect-method</a></td>
+<td>dapplyCollect</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_diff_functions.html">datediff</a></td>
+<td>Date time arithmetic functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_diff_functions.html">datediff-method</a></td>
+<td>Date time arithmetic functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_diff_functions.html">date_add</a></td>
+<td>Date time arithmetic functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_diff_functions.html">date_add-method</a></td>
+<td>Date time arithmetic functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_diff_functions.html">date_format</a></td>
+<td>Date time arithmetic functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_diff_functions.html">date_format-method</a></td>
+<td>Date time arithmetic functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_diff_functions.html">date_sub</a></td>
+<td>Date time arithmetic functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_diff_functions.html">date_sub-method</a></td>
+<td>Date time arithmetic functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">date_trunc</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">date_trunc-method</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">dayofmonth</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">dayofmonth-method</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">dayofweek</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">dayofweek-method</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">dayofyear</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">dayofyear-method</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="DecisionTreeClassificationModel-class.html">DecisionTreeClassificationModel-class</a></td>
+<td>S4 class that represents a DecisionTreeClassificationModel</td></tr>
+<tr><td style="width: 25%;"><a href="DecisionTreeRegressionModel-class.html">DecisionTreeRegressionModel-class</a></td>
+<td>S4 class that represents a DecisionTreeRegressionModel</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">decode</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">decode-method</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">degrees</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">degrees-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_window_functions.html">dense_rank</a></td>
+<td>Window functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_window_functions.html">dense_rank-method</a></td>
+<td>Window functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="columnfunctions.html">desc</a></td>
+<td>A set of operations working with SparkDataFrame columns</td></tr>
+<tr><td style="width: 25%;"><a href="describe.html">describe</a></td>
+<td>describe</td></tr>
+<tr><td style="width: 25%;"><a href="describe.html">describe-method</a></td>
+<td>describe</td></tr>
+<tr><td style="width: 25%;"><a href="columnfunctions.html">desc_nulls_first</a></td>
+<td>A set of operations working with SparkDataFrame columns</td></tr>
+<tr><td style="width: 25%;"><a href="columnfunctions.html">desc_nulls_last</a></td>
+<td>A set of operations working with SparkDataFrame columns</td></tr>
+<tr><td style="width: 25%;"><a href="dim.html">dim</a></td>
+<td>Returns the dimensions of SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="dim.html">dim-method</a></td>
+<td>Returns the dimensions of SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="distinct.html">distinct</a></td>
+<td>Distinct</td></tr>
+<tr><td style="width: 25%;"><a href="distinct.html">distinct-method</a></td>
+<td>Distinct</td></tr>
+<tr><td style="width: 25%;"><a href="drop.html">drop</a></td>
+<td>drop</td></tr>
+<tr><td style="width: 25%;"><a href="drop.html">drop-method</a></td>
+<td>drop</td></tr>
+<tr><td style="width: 25%;"><a href="dropDuplicates.html">dropDuplicates</a></td>
+<td>dropDuplicates</td></tr>
+<tr><td style="width: 25%;"><a href="dropDuplicates.html">dropDuplicates-method</a></td>
+<td>dropDuplicates</td></tr>
+<tr><td style="width: 25%;"><a href="dropFields.html">dropFields</a></td>
+<td>dropFields</td></tr>
+<tr><td style="width: 25%;"><a href="dropFields.html">dropFields-method</a></td>
+<td>dropFields</td></tr>
+<tr><td style="width: 25%;"><a href="nafunctions.html">dropna</a></td>
+<td>A set of SparkDataFrame functions working with NA values</td></tr>
+<tr><td style="width: 25%;"><a href="nafunctions.html">dropna-method</a></td>
+<td>A set of SparkDataFrame functions working with NA values</td></tr>
+<tr><td style="width: 25%;"><a href="dropTempTable-deprecated.html">dropTempTable</a></td>
+<td>(Deprecated) Drop Temporary Table</td></tr>
+<tr><td style="width: 25%;"><a href="dropTempView.html">dropTempView</a></td>
+<td>Drops the temporary view with the given view name in the catalog.</td></tr>
+<tr><td style="width: 25%;"><a href="dtypes.html">dtypes</a></td>
+<td>DataTypes</td></tr>
+<tr><td style="width: 25%;"><a href="dtypes.html">dtypes-method</a></td>
+<td>DataTypes</td></tr>
+</table>
+
+<h2><a id="E">-- E --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">element_at</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">element_at-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">encode</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">encode-method</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="endsWith.html">endsWith</a></td>
+<td>endsWith</td></tr>
+<tr><td style="width: 25%;"><a href="endsWith.html">endsWith-method</a></td>
+<td>endsWith</td></tr>
+<tr><td style="width: 25%;"><a href="except.html">except</a></td>
+<td>except</td></tr>
+<tr><td style="width: 25%;"><a href="except.html">except-method</a></td>
+<td>except</td></tr>
+<tr><td style="width: 25%;"><a href="exceptAll.html">exceptAll</a></td>
+<td>exceptAll</td></tr>
+<tr><td style="width: 25%;"><a href="exceptAll.html">exceptAll-method</a></td>
+<td>exceptAll</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">exp</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">exp-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="explain.html">explain</a></td>
+<td>Explain</td></tr>
+<tr><td style="width: 25%;"><a href="explain.html">explain-method</a></td>
+<td>Explain</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">explode</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">explode-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">explode_outer</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">explode_outer-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">expm1</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">expm1-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">expr</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">expr-method</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+</table>
+
+<h2><a id="F">-- F --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="column_math_functions.html">factorial</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">factorial-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="nafunctions.html">fillna</a></td>
+<td>A set of SparkDataFrame functions working with NA values</td></tr>
+<tr><td style="width: 25%;"><a href="nafunctions.html">fillna-method</a></td>
+<td>A set of SparkDataFrame functions working with NA values</td></tr>
+<tr><td style="width: 25%;"><a href="filter.html">filter</a></td>
+<td>Filter</td></tr>
+<tr><td style="width: 25%;"><a href="filter.html">filter-method</a></td>
+<td>Filter</td></tr>
+<tr><td style="width: 25%;"><a href="spark.prefixSpan.html">findFrequentSequentialPatterns-method</a></td>
+<td>PrefixSpan</td></tr>
+<tr><td style="width: 25%;"><a href="first.html">first</a></td>
+<td>Return the first row of a SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="first.html">first-method</a></td>
+<td>Return the first row of a SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="fitted.html">fitted</a></td>
+<td>Get fitted result from a k-means model</td></tr>
+<tr><td style="width: 25%;"><a href="fitted.html">fitted-method</a></td>
+<td>Get fitted result from a k-means model</td></tr>
+<tr><td style="width: 25%;"><a href="spark.bisectingKmeans.html">fitted-method</a></td>
+<td>Bisecting K-Means Clustering Model</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">flatten</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">flatten-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">floor</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">floor-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="FMClassificationModel-class.html">FMClassificationModel-class</a></td>
+<td>S4 class that represents a FMClassificationModel</td></tr>
+<tr><td style="width: 25%;"><a href="FMRegressionModel-class.html">FMRegressionModel-class</a></td>
+<td>S4 class that represents a FMRegressionModel</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">format_number</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">format_number-method</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">format_string</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">format_string-method</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="FPGrowthModel-class.html">FPGrowthModel-class</a></td>
+<td>S4 class that represents a FPGrowthModel</td></tr>
+<tr><td style="width: 25%;"><a href="freqItems.html">freqItems</a></td>
+<td>Finding frequent items for columns, possibly with false positives</td></tr>
+<tr><td style="width: 25%;"><a href="freqItems.html">freqItems-method</a></td>
+<td>Finding frequent items for columns, possibly with false positives</td></tr>
+<tr><td style="width: 25%;"><a href="spark.fpGrowth.html">freqItemsets-method</a></td>
+<td>FP-growth</td></tr>
+<tr><td style="width: 25%;"><a href="column_avro_functions.html">from_avro</a></td>
+<td>Avro processing functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_avro_functions.html">from_avro-method</a></td>
+<td>Avro processing functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">from_csv</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">from_csv-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">from_json</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">from_json-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">from_unixtime</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">from_unixtime-method</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_diff_functions.html">from_utc_timestamp</a></td>
+<td>Date time arithmetic functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_diff_functions.html">from_utc_timestamp-method</a></td>
+<td>Date time arithmetic functions for Column operations</td></tr>
+</table>
+
+<h2><a id="G">-- G --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="gapply.html">gapply</a></td>
+<td>gapply</td></tr>
+<tr><td style="width: 25%;"><a href="gapply.html">gapply-method</a></td>
+<td>gapply</td></tr>
+<tr><td style="width: 25%;"><a href="gapplyCollect.html">gapplyCollect</a></td>
+<td>gapplyCollect</td></tr>
+<tr><td style="width: 25%;"><a href="gapplyCollect.html">gapplyCollect-method</a></td>
+<td>gapplyCollect</td></tr>
+<tr><td style="width: 25%;"><a href="GaussianMixtureModel-class.html">GaussianMixtureModel-class</a></td>
+<td>S4 class that represents a GaussianMixtureModel</td></tr>
+<tr><td style="width: 25%;"><a href="GBTClassificationModel-class.html">GBTClassificationModel-class</a></td>
+<td>S4 class that represents a GBTClassificationModel</td></tr>
+<tr><td style="width: 25%;"><a href="GBTRegressionModel-class.html">GBTRegressionModel-class</a></td>
+<td>S4 class that represents a GBTRegressionModel</td></tr>
+<tr><td style="width: 25%;"><a href="GeneralizedLinearRegressionModel-class.html">GeneralizedLinearRegressionModel-class</a></td>
+<td>S4 class that represents a generalized linear model</td></tr>
+<tr><td style="width: 25%;"><a href="columnfunctions.html">getField</a></td>
+<td>A set of operations working with SparkDataFrame columns</td></tr>
+<tr><td style="width: 25%;"><a href="columnfunctions.html">getItem</a></td>
+<td>A set of operations working with SparkDataFrame columns</td></tr>
+<tr><td style="width: 25%;"><a href="getLocalProperty.html">getLocalProperty</a></td>
+<td>Get a local property set in this thread, or 'NULL' if it is missing. See 'setLocalProperty'.</td></tr>
+<tr><td style="width: 25%;"><a href="getNumPartitions.html">getNumPartitions</a></td>
+<td>getNumPartitions</td></tr>
+<tr><td style="width: 25%;"><a href="getNumPartitions.html">getNumPartitions-method</a></td>
+<td>getNumPartitions</td></tr>
+<tr><td style="width: 25%;"><a href="glm.html">glm</a></td>
+<td>Generalized Linear Models (R-compliant)</td></tr>
+<tr><td style="width: 25%;"><a href="glm.html">glm-method</a></td>
+<td>Generalized Linear Models (R-compliant)</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">greatest</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">greatest-method</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="groupBy.html">groupBy</a></td>
+<td>GroupBy</td></tr>
+<tr><td style="width: 25%;"><a href="groupBy.html">groupBy-method</a></td>
+<td>GroupBy</td></tr>
+<tr><td style="width: 25%;"><a href="GroupedData.html">groupedData</a></td>
+<td>S4 class that represents a GroupedData</td></tr>
+<tr><td style="width: 25%;"><a href="GroupedData.html">GroupedData-class</a></td>
+<td>S4 class that represents a GroupedData</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">grouping_bit</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">grouping_bit-method</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">grouping_id</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">grouping_id-method</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="groupBy.html">group_by</a></td>
+<td>GroupBy</td></tr>
+<tr><td style="width: 25%;"><a href="groupBy.html">group_by-method</a></td>
+<td>GroupBy</td></tr>
+</table>
+
+<h2><a id="H">-- H --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="column_misc_functions.html">hash</a></td>
+<td>Miscellaneous functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_misc_functions.html">hash-method</a></td>
+<td>Miscellaneous functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="hashCode.html">hashCode</a></td>
+<td>Compute the hashCode of an object</td></tr>
+<tr><td style="width: 25%;"><a href="head.html">head</a></td>
+<td>Head</td></tr>
+<tr><td style="width: 25%;"><a href="head.html">head-method</a></td>
+<td>Head</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">hex</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">hex-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="hint.html">hint</a></td>
+<td>hint</td></tr>
+<tr><td style="width: 25%;"><a href="hint.html">hint-method</a></td>
+<td>hint</td></tr>
+<tr><td style="width: 25%;"><a href="histogram.html">histogram</a></td>
+<td>Compute histogram statistics for given column</td></tr>
+<tr><td style="width: 25%;"><a href="histogram.html">histogram-method</a></td>
+<td>Compute histogram statistics for given column</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">hour</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">hour-method</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">hypot</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">hypot-method</a></td>
+<td>Math functions for Column operations</td></tr>
+</table>
+
+<h2><a id="I">-- I --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">ifelse</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">ifelse-method</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">initcap</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">initcap-method</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">input_file_name</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">input_file_name-method</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="insertInto.html">insertInto</a></td>
+<td>insertInto</td></tr>
+<tr><td style="width: 25%;"><a href="insertInto.html">insertInto-method</a></td>
+<td>insertInto</td></tr>
+<tr><td style="width: 25%;"><a href="install.spark.html">install.spark</a></td>
+<td>Download and Install Apache Spark to a Local Directory</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">instr</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">instr-method</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="intersect.html">intersect</a></td>
+<td>Intersect</td></tr>
+<tr><td style="width: 25%;"><a href="intersect.html">intersect-method</a></td>
+<td>Intersect</td></tr>
+<tr><td style="width: 25%;"><a href="intersectAll.html">intersectAll</a></td>
+<td>intersectAll</td></tr>
+<tr><td style="width: 25%;"><a href="intersectAll.html">intersectAll-method</a></td>
+<td>intersectAll</td></tr>
+<tr><td style="width: 25%;"><a href="invoke_higher_order_function.html">invoke_higher_order_function</a></td>
+<td>Invokes higher order function expression identified by name, (relative to o.a.s.sql.catalyst.expressions)</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">is.nan</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">is.nan-method</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="isActive.html">isActive</a></td>
+<td>isActive</td></tr>
+<tr><td style="width: 25%;"><a href="isActive.html">isActive-method</a></td>
+<td>isActive</td></tr>
+<tr><td style="width: 25%;"><a href="isLocal.html">isLocal</a></td>
+<td>isLocal</td></tr>
+<tr><td style="width: 25%;"><a href="isLocal.html">isLocal-method</a></td>
+<td>isLocal</td></tr>
+<tr><td style="width: 25%;"><a href="columnfunctions.html">isNaN</a></td>
+<td>A set of operations working with SparkDataFrame columns</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">isnan</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">isnan-method</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="columnfunctions.html">isNotNull</a></td>
+<td>A set of operations working with SparkDataFrame columns</td></tr>
+<tr><td style="width: 25%;"><a href="columnfunctions.html">isNull</a></td>
+<td>A set of operations working with SparkDataFrame columns</td></tr>
+<tr><td style="width: 25%;"><a href="IsotonicRegressionModel-class.html">IsotonicRegressionModel-class</a></td>
+<td>S4 class that represents an IsotonicRegressionModel</td></tr>
+<tr><td style="width: 25%;"><a href="isStreaming.html">isStreaming</a></td>
+<td>isStreaming</td></tr>
+<tr><td style="width: 25%;"><a href="isStreaming.html">isStreaming-method</a></td>
+<td>isStreaming</td></tr>
+</table>
+
+<h2><a id="J">-- J --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="join.html">join</a></td>
+<td>Join</td></tr>
+<tr><td style="width: 25%;"><a href="join.html">join-method</a></td>
+<td>Join</td></tr>
+</table>
+
+<h2><a id="K">-- K --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="KMeansModel-class.html">KMeansModel-class</a></td>
+<td>S4 class that represents a KMeansModel</td></tr>
+<tr><td style="width: 25%;"><a href="KSTest-class.html">KSTest-class</a></td>
+<td>S4 class that represents an KSTest</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">kurtosis</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">kurtosis-method</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+</table>
+
+<h2><a id="L">-- L --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="column_window_functions.html">lag</a></td>
+<td>Window functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_window_functions.html">lag-method</a></td>
+<td>Window functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="last.html">last</a></td>
+<td>last</td></tr>
+<tr><td style="width: 25%;"><a href="last.html">last-method</a></td>
+<td>last</td></tr>
+<tr><td style="width: 25%;"><a href="lastProgress.html">lastProgress</a></td>
+<td>lastProgress</td></tr>
+<tr><td style="width: 25%;"><a href="lastProgress.html">lastProgress-method</a></td>
+<td>lastProgress</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">last_day</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">last_day-method</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="LDAModel-class.html">LDAModel-class</a></td>
+<td>S4 class that represents an LDAModel</td></tr>
+<tr><td style="width: 25%;"><a href="column_window_functions.html">lead</a></td>
+<td>Window functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_window_functions.html">lead-method</a></td>
+<td>Window functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">least</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">least-method</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">length</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">length-method</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">levenshtein</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">levenshtein-method</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="columnfunctions.html">like</a></td>
+<td>A set of operations working with SparkDataFrame columns</td></tr>
+<tr><td style="width: 25%;"><a href="limit.html">limit</a></td>
+<td>Limit</td></tr>
+<tr><td style="width: 25%;"><a href="limit.html">limit-method</a></td>
+<td>Limit</td></tr>
+<tr><td style="width: 25%;"><a href="LinearRegressionModel-class.html">LinearRegressionModel-class</a></td>
+<td>S4 class that represents a LinearRegressionModel</td></tr>
+<tr><td style="width: 25%;"><a href="LinearSVCModel-class.html">LinearSVCModel-class</a></td>
+<td>S4 class that represents an LinearSVCModel</td></tr>
+<tr><td style="width: 25%;"><a href="listColumns.html">listColumns</a></td>
+<td>Returns a list of columns for the given table/view in the specified database</td></tr>
+<tr><td style="width: 25%;"><a href="listDatabases.html">listDatabases</a></td>
+<td>Returns a list of databases available</td></tr>
+<tr><td style="width: 25%;"><a href="listFunctions.html">listFunctions</a></td>
+<td>Returns a list of functions registered in the specified database</td></tr>
+<tr><td style="width: 25%;"><a href="listTables.html">listTables</a></td>
+<td>Returns a list of tables or views in the specified database</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">lit</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">lit-method</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="read.df.html">loadDF</a></td>
+<td>Load a SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="localCheckpoint.html">localCheckpoint</a></td>
+<td>localCheckpoint</td></tr>
+<tr><td style="width: 25%;"><a href="localCheckpoint.html">localCheckpoint-method</a></td>
+<td>localCheckpoint</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">locate</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">locate-method</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">log</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">log-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">log10</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">log10-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">log1p</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">log1p-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">log2</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">log2-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="LogisticRegressionModel-class.html">LogisticRegressionModel-class</a></td>
+<td>S4 class that represents an LogisticRegressionModel</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">lower</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">lower-method</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">lpad</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">lpad-method</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">ltrim</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">ltrim-method</a></td>
+<td>String functions for Column operations</td></tr>
+</table>
+
+<h2><a id="M">-- M --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">map_concat</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">map_concat-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">map_entries</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">map_entries-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">map_filter</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">map_filter-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">map_from_arrays</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">map_from_arrays-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">map_from_entries</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">map_from_entries-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">map_keys</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">map_keys-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">map_values</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">map_values-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">map_zip_with</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">map_zip_with-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">max</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">max-method</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_misc_functions.html">md5</a></td>
+<td>Miscellaneous functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_misc_functions.html">md5-method</a></td>
+<td>Miscellaneous functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">mean</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">mean-method</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="merge.html">merge</a></td>
+<td>Merges two data frames</td></tr>
+<tr><td style="width: 25%;"><a href="merge.html">merge-method</a></td>
+<td>Merges two data frames</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">min</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">min-method</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">minute</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">minute-method</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">monotonically_increasing_id</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">monotonically_increasing_id-method</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">month</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">month-method</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_diff_functions.html">months_between</a></td>
+<td>Date time arithmetic functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_diff_functions.html">months_between-method</a></td>
+<td>Date time arithmetic functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="MultilayerPerceptronClassificationModel-class.html">MultilayerPerceptronClassificationModel-class</a></td>
+<td>S4 class that represents a MultilayerPerceptronClassificationModel</td></tr>
+<tr><td style="width: 25%;"><a href="mutate.html">mutate</a></td>
+<td>Mutate</td></tr>
+<tr><td style="width: 25%;"><a href="mutate.html">mutate-method</a></td>
+<td>Mutate</td></tr>
+</table>
+
+<h2><a id="N">-- N --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="count.html">n</a></td>
+<td>Count</td></tr>
+<tr><td style="width: 25%;"><a href="count.html">n-method</a></td>
+<td>Count</td></tr>
+<tr><td style="width: 25%;"><a href="nafunctions.html">na.omit</a></td>
+<td>A set of SparkDataFrame functions working with NA values</td></tr>
+<tr><td style="width: 25%;"><a href="nafunctions.html">na.omit-method</a></td>
+<td>A set of SparkDataFrame functions working with NA values</td></tr>
+<tr><td style="width: 25%;"><a href="NaiveBayesModel-class.html">NaiveBayesModel-class</a></td>
+<td>S4 class that represents a NaiveBayesModel</td></tr>
+<tr><td style="width: 25%;"><a href="columns.html">names</a></td>
+<td>Column Names of SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="columns.html">names-method</a></td>
+<td>Column Names of SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="columns.html">names&lt;-</a></td>
+<td>Column Names of SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="columns.html">names&lt;--method</a></td>
+<td>Column Names of SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">nanvl</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">nanvl-method</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="ncol.html">ncol</a></td>
+<td>Returns the number of columns in a SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="ncol.html">ncol-method</a></td>
+<td>Returns the number of columns in a SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">negate</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">negate-method</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_diff_functions.html">next_day</a></td>
+<td>Date time arithmetic functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_diff_functions.html">next_day-method</a></td>
+<td>Date time arithmetic functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="not.html">not</a></td>
+<td>!</td></tr>
+<tr><td style="width: 25%;"><a href="not.html">not-method</a></td>
+<td>!</td></tr>
+<tr><td style="width: 25%;"><a href="nrow.html">nrow</a></td>
+<td>Returns the number of rows in a SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="nrow.html">nrow-method</a></td>
+<td>Returns the number of rows in a SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="column_window_functions.html">nth_value</a></td>
+<td>Window functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_window_functions.html">nth_value-method</a></td>
+<td>Window functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_window_functions.html">ntile</a></td>
+<td>Window functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_window_functions.html">ntile-method</a></td>
+<td>Window functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">n_distinct</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">n_distinct-method</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+</table>
+
+<h2><a id="O">-- O --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="orderBy.html">orderBy</a></td>
+<td>Ordering Columns in a WindowSpec</td></tr>
+<tr><td style="width: 25%;"><a href="arrange.html">orderBy-method</a></td>
+<td>Arrange Rows by Variables</td></tr>
+<tr><td style="width: 25%;"><a href="orderBy.html">orderBy-method</a></td>
+<td>Ordering Columns in a WindowSpec</td></tr>
+<tr><td style="width: 25%;"><a href="otherwise.html">otherwise</a></td>
+<td>otherwise</td></tr>
+<tr><td style="width: 25%;"><a href="otherwise.html">otherwise-method</a></td>
+<td>otherwise</td></tr>
+<tr><td style="width: 25%;"><a href="over.html">over</a></td>
+<td>over</td></tr>
+<tr><td style="width: 25%;"><a href="over.html">over-method</a></td>
+<td>over</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">overlay</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">overlay-method</a></td>
+<td>String functions for Column operations</td></tr>
+</table>
+
+<h2><a id="P">-- P --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="partitionBy.html">partitionBy</a></td>
+<td>partitionBy</td></tr>
+<tr><td style="width: 25%;"><a href="partitionBy.html">partitionBy-method</a></td>
+<td>partitionBy</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">percentile_approx</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">percentile_approx-method</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_window_functions.html">percent_rank</a></td>
+<td>Window functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_window_functions.html">percent_rank-method</a></td>
+<td>Window functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="persist.html">persist</a></td>
+<td>Persist</td></tr>
+<tr><td style="width: 25%;"><a href="persist.html">persist-method</a></td>
+<td>Persist</td></tr>
+<tr><td style="width: 25%;"><a href="pivot.html">pivot</a></td>
+<td>Pivot a column of the GroupedData and perform the specified aggregation.</td></tr>
+<tr><td style="width: 25%;"><a href="pivot.html">pivot-method</a></td>
+<td>Pivot a column of the GroupedData and perform the specified aggregation.</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">pmod</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">pmod-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">posexplode</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">posexplode-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">posexplode_outer</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">posexplode_outer-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="PowerIterationClustering-class.html">PowerIterationClustering-class</a></td>
+<td>S4 class that represents a PowerIterationClustering</td></tr>
+<tr><td style="width: 25%;"><a href="predict.html">predict</a></td>
+<td>Makes predictions from a MLlib model</td></tr>
+<tr><td style="width: 25%;"><a href="spark.als.html">predict-method</a></td>
+<td>Alternating Least Squares (ALS) for Collaborative Filtering</td></tr>
+<tr><td style="width: 25%;"><a href="spark.bisectingKmeans.html">predict-method</a></td>
+<td>Bisecting K-Means Clustering Model</td></tr>
+<tr><td style="width: 25%;"><a href="spark.decisionTree.html">predict-method</a></td>
+<td>Decision Tree Model for Regression and Classification</td></tr>
+<tr><td style="width: 25%;"><a href="spark.fmClassifier.html">predict-method</a></td>
+<td>Factorization Machines Classification Model</td></tr>
+<tr><td style="width: 25%;"><a href="spark.fmRegressor.html">predict-method</a></td>
+<td>Factorization Machines Regression Model</td></tr>
+<tr><td style="width: 25%;"><a href="spark.fpGrowth.html">predict-method</a></td>
+<td>FP-growth</td></tr>
+<tr><td style="width: 25%;"><a href="spark.gaussianMixture.html">predict-method</a></td>
+<td>Multivariate Gaussian Mixture Model (GMM)</td></tr>
+<tr><td style="width: 25%;"><a href="spark.gbt.html">predict-method</a></td>
+<td>Gradient Boosted Tree Model for Regression and Classification</td></tr>
+<tr><td style="width: 25%;"><a href="spark.glm.html">predict-method</a></td>
+<td>Generalized Linear Models</td></tr>
+<tr><td style="width: 25%;"><a href="spark.isoreg.html">predict-method</a></td>
+<td>Isotonic Regression Model</td></tr>
+<tr><td style="width: 25%;"><a href="spark.kmeans.html">predict-method</a></td>
+<td>K-Means Clustering Model</td></tr>
+<tr><td style="width: 25%;"><a href="spark.lm.html">predict-method</a></td>
+<td>Linear Regression Model</td></tr>
+<tr><td style="width: 25%;"><a href="spark.logit.html">predict-method</a></td>
+<td>Logistic Regression Model</td></tr>
+<tr><td style="width: 25%;"><a href="spark.mlp.html">predict-method</a></td>
+<td>Multilayer Perceptron Classification Model</td></tr>
+<tr><td style="width: 25%;"><a href="spark.naiveBayes.html">predict-method</a></td>
+<td>Naive Bayes Models</td></tr>
+<tr><td style="width: 25%;"><a href="spark.randomForest.html">predict-method</a></td>
+<td>Random Forest Model for Regression and Classification</td></tr>
+<tr><td style="width: 25%;"><a href="spark.survreg.html">predict-method</a></td>
+<td>Accelerated Failure Time (AFT) Survival Regression Model</td></tr>
+<tr><td style="width: 25%;"><a href="spark.svmLinear.html">predict-method</a></td>
+<td>Linear SVM Model</td></tr>
+<tr><td style="width: 25%;"><a href="PrefixSpan-class.html">PrefixSpan-class</a></td>
+<td>S4 class that represents a PrefixSpan</td></tr>
+<tr><td style="width: 25%;"><a href="print.jobj.html">print.jobj</a></td>
+<td>Print a JVM object reference.</td></tr>
+<tr><td style="width: 25%;"><a href="print.structField.html">print.structField</a></td>
+<td>Print a Spark StructField.</td></tr>
+<tr><td style="width: 25%;"><a href="print.structType.html">print.structType</a></td>
+<td>Print a Spark StructType.</td></tr>
+<tr><td style="width: 25%;"><a href="spark.decisionTree.html">print.summary.DecisionTreeClassificationModel</a></td>
+<td>Decision Tree Model for Regression and Classification</td></tr>
+<tr><td style="width: 25%;"><a href="spark.decisionTree.html">print.summary.DecisionTreeRegressionModel</a></td>
+<td>Decision Tree Model for Regression and Classification</td></tr>
+<tr><td style="width: 25%;"><a href="spark.gbt.html">print.summary.GBTClassificationModel</a></td>
+<td>Gradient Boosted Tree Model for Regression and Classification</td></tr>
+<tr><td style="width: 25%;"><a href="spark.gbt.html">print.summary.GBTRegressionModel</a></td>
+<td>Gradient Boosted Tree Model for Regression and Classification</td></tr>
+<tr><td style="width: 25%;"><a href="spark.glm.html">print.summary.GeneralizedLinearRegressionModel</a></td>
+<td>Generalized Linear Models</td></tr>
+<tr><td style="width: 25%;"><a href="spark.kstest.html">print.summary.KSTest</a></td>
+<td>(One-Sample) Kolmogorov-Smirnov Test</td></tr>
+<tr><td style="width: 25%;"><a href="spark.randomForest.html">print.summary.RandomForestClassificationModel</a></td>
+<td>Random Forest Model for Regression and Classification</td></tr>
+<tr><td style="width: 25%;"><a href="spark.randomForest.html">print.summary.RandomForestRegressionModel</a></td>
+<td>Random Forest Model for Regression and Classification</td></tr>
+<tr><td style="width: 25%;"><a href="printSchema.html">printSchema</a></td>
+<td>Print Schema of a SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="printSchema.html">printSchema-method</a></td>
+<td>Print Schema of a SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">product</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">product-method</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+</table>
+
+<h2><a id="Q">-- Q --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">quarter</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">quarter-method</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="queryName.html">queryName</a></td>
+<td>queryName</td></tr>
+<tr><td style="width: 25%;"><a href="queryName.html">queryName-method</a></td>
+<td>queryName</td></tr>
+</table>
+
+<h2><a id="R">-- R --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="column_math_functions.html">radians</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">radians-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_misc_functions.html">raise_error</a></td>
+<td>Miscellaneous functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_misc_functions.html">raise_error-method</a></td>
+<td>Miscellaneous functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">rand</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">rand-method</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">randn</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_nonaggregate_functions.html">randn-method</a></td>
+<td>Non-aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="RandomForestClassificationModel-class.html">RandomForestClassificationModel-class</a></td>
+<td>S4 class that represents a RandomForestClassificationModel</td></tr>
+<tr><td style="width: 25%;"><a href="RandomForestRegressionModel-class.html">RandomForestRegressionModel-class</a></td>
+<td>S4 class that represents a RandomForestRegressionModel</td></tr>
+<tr><td style="width: 25%;"><a href="randomSplit.html">randomSplit</a></td>
+<td>randomSplit</td></tr>
+<tr><td style="width: 25%;"><a href="randomSplit.html">randomSplit-method</a></td>
+<td>randomSplit</td></tr>
+<tr><td style="width: 25%;"><a href="rangeBetween.html">rangeBetween</a></td>
+<td>rangeBetween</td></tr>
+<tr><td style="width: 25%;"><a href="rangeBetween.html">rangeBetween-method</a></td>
+<td>rangeBetween</td></tr>
+<tr><td style="width: 25%;"><a href="column_window_functions.html">rank</a></td>
+<td>Window functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_window_functions.html">rank-method</a></td>
+<td>Window functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="rbind.html">rbind</a></td>
+<td>Union two or more SparkDataFrames</td></tr>
+<tr><td style="width: 25%;"><a href="rbind.html">rbind-method</a></td>
+<td>Union two or more SparkDataFrames</td></tr>
+<tr><td style="width: 25%;"><a href="read.df.html">read.df</a></td>
+<td>Load a SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="read.jdbc.html">read.jdbc</a></td>
+<td>Create a SparkDataFrame representing the database table accessible via JDBC URL</td></tr>
+<tr><td style="width: 25%;"><a href="read.json.html">read.json</a></td>
+<td>Create a SparkDataFrame from a JSON file.</td></tr>
+<tr><td style="width: 25%;"><a href="read.ml.html">read.ml</a></td>
+<td>Load a fitted MLlib model from the input path.</td></tr>
+<tr><td style="width: 25%;"><a href="read.orc.html">read.orc</a></td>
+<td>Create a SparkDataFrame from an ORC file.</td></tr>
+<tr><td style="width: 25%;"><a href="read.parquet.html">read.parquet</a></td>
+<td>Create a SparkDataFrame from a Parquet file.</td></tr>
+<tr><td style="width: 25%;"><a href="read.stream.html">read.stream</a></td>
+<td>Load a streaming SparkDataFrame</td></tr>
+<tr><td style="width: 25%;"><a href="read.text.html">read.text</a></td>
+<td>Create a SparkDataFrame from a text file.</td></tr>
+<tr><td style="width: 25%;"><a href="recoverPartitions.html">recoverPartitions</a></td>
+<td>Recovers all the partitions in the directory of a table and update the catalog</td></tr>
+<tr><td style="width: 25%;"><a href="refreshByPath.html">refreshByPath</a></td>
+<td>Invalidates and refreshes all the cached data and metadata for SparkDataFrame containing path</td></tr>
+<tr><td style="width: 25%;"><a href="refreshTable.html">refreshTable</a></td>
+<td>Invalidates and refreshes all the cached data and metadata of the given table</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">regexp_extract</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">regexp_extract-method</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">regexp_replace</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">regexp_replace-method</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="registerTempTable-deprecated.html">registerTempTable</a></td>
+<td>(Deprecated) Register Temporary Table</td></tr>
+<tr><td style="width: 25%;"><a href="registerTempTable-deprecated.html">registerTempTable-method</a></td>
+<td>(Deprecated) Register Temporary Table</td></tr>
+<tr><td style="width: 25%;"><a href="rename.html">rename</a></td>
+<td>rename</td></tr>
+<tr><td style="width: 25%;"><a href="rename.html">rename-method</a></td>
+<td>rename</td></tr>
+<tr><td style="width: 25%;"><a href="repartition.html">repartition</a></td>
+<td>Repartition</td></tr>
+<tr><td style="width: 25%;"><a href="repartition.html">repartition-method</a></td>
+<td>Repartition</td></tr>
+<tr><td style="width: 25%;"><a href="repartitionByRange.html">repartitionByRange</a></td>
+<td>Repartition by range</td></tr>
+<tr><td style="width: 25%;"><a href="repartitionByRange.html">repartitionByRange-method</a></td>
+<td>Repartition by range</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">repeat_string</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">repeat_string-method</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">reverse</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">reverse-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">rint</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">rint-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="columnfunctions.html">rlike</a></td>
+<td>A set of operations working with SparkDataFrame columns</td></tr>
+<tr><td style="width: 25%;"><a href="rollup.html">rollup</a></td>
+<td>rollup</td></tr>
+<tr><td style="width: 25%;"><a href="rollup.html">rollup-method</a></td>
+<td>rollup</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">round</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_math_functions.html">round-method</a></td>
+<td>Math functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="rowsBetween.html">rowsBetween</a></td>
+<td>rowsBetween</td></tr>
+<tr><td style="width: 25%;"><a href="rowsBetween.html">rowsBetween-method</a></td>
+<td>rowsBetween</td></tr>
+<tr><td style="width: 25%;"><a href="column_window_functions.html">row_number</a></td>
+<td>Window functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_window_functions.html">row_number-method</a></td>
+<td>Window functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">rpad</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">rpad-method</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">rtrim</a></td>
+<td>String functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_string_functions.html">rtrim-method</a></td>
+<td>String functions for Column operations</td></tr>
+</table>
+
+<h2><a id="S">-- S --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="sample.html">sample</a></td>
+<td>Sample</td></tr>
+<tr><td style="width: 25%;"><a href="sample.html">sample-method</a></td>
+<td>Sample</td></tr>
+<tr><td style="width: 25%;"><a href="sampleBy.html">sampleBy</a></td>
+<td>Returns a stratified sample without replacement</td></tr>
+<tr><td style="width: 25%;"><a href="sampleBy.html">sampleBy-method</a></td>
+<td>Returns a stratified sample without replacement</td></tr>
+<tr><td style="width: 25%;"><a href="sample.html">sample_frac</a></td>
+<td>Sample</td></tr>
+<tr><td style="width: 25%;"><a href="sample.html">sample_frac-method</a></td>
+<td>Sample</td></tr>
+<tr><td style="width: 25%;"><a href="saveAsTable.html">saveAsTable</a></td>
+<td>Save the contents of the SparkDataFrame to a data source as a table</td></tr>
+<tr><td style="width: 25%;"><a href="saveAsTable.html">saveAsTable-method</a></td>
+<td>Save the contents of the SparkDataFrame to a data source as a table</td></tr>
+<tr><td style="width: 25%;"><a href="write.df.html">saveDF</a></td>
+<td>Save the contents of SparkDataFrame to a data source.</td></tr>
+<tr><td style="width: 25%;"><a href="write.df.html">saveDF-method</a></td>
+<td>Save the contents of SparkDataFrame to a data source.</td></tr>
+<tr><td style="width: 25%;"><a href="schema.html">schema</a></td>
+<td>Get schema object</td></tr>
+<tr><td style="width: 25%;"><a href="schema.html">schema-method</a></td>
+<td>Get schema object</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">schema_of_csv</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">schema_of_csv-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">schema_of_json</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_collection_functions.html">schema_of_json-method</a></td>
+<td>Collection functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">sd</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_aggregate_functions.html">sd-method</a></td>
+<td>Aggregate functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">second</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="column_datetime_functions.html">second-method</a></td>
+<td>Date time functions for Column operations</td></tr>
+<tr><td style="width: 25%;"><a href="select.html">select</a></td>
+<td>Select</td></tr>
+<tr><td style="width: 25%;"><a href="select.html">select-method</a></td>
+<td>Select</td></tr>
+<tr><td style="width: 25%;"><a href="selectExpr.html">selectExpr</a></td>
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