Class RDDConverterUtilsExt
java.lang.Object
org.apache.sysds.runtime.instructions.spark.utils.RDDConverterUtilsExt
NOTE: These are experimental converter utils. Once thoroughly tested, they
can be moved to RDDConverterUtils.
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Nested Class Summary
Nested ClassesModifier and TypeClassDescriptionstatic classstatic enum -
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionstatic org.apache.spark.sql.Dataset<org.apache.spark.sql.Row>addIDToDataFrame(org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> df, org.apache.spark.sql.SparkSession sparkSession, String nameOfCol) Add element indices as new column to DataFramestatic org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> coordinateMatrixToBinaryBlock(org.apache.spark.api.java.JavaSparkContext sc, org.apache.spark.mllib.linalg.distributed.CoordinateMatrix input, DataCharacteristics mcIn, boolean outputEmptyBlocks) static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> coordinateMatrixToBinaryBlock(org.apache.spark.SparkContext sc, org.apache.spark.mllib.linalg.distributed.CoordinateMatrix input, DataCharacteristics mcIn, boolean outputEmptyBlocks) static voidcopyRowBlocks(MatrixBlock mb, int rowIndex, MatrixBlock ret, int numRowsPerBlock, int rlen, int clen) static voidcopyRowBlocks(MatrixBlock mb, int rowIndex, MatrixBlock ret, long numRowsPerBlock, long rlen, long clen) static voidcopyRowBlocks(MatrixBlock mb, long rowIndex, MatrixBlock ret, int numRowsPerBlock, int rlen, int clen) static voidcopyRowBlocks(MatrixBlock mb, long rowIndex, MatrixBlock ret, long numRowsPerBlock, long rlen, long clen) static voidstatic org.apache.spark.sql.Dataset<org.apache.spark.sql.Row>projectColumns(org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> df, ArrayList<String> columns) static org.apache.spark.sql.Dataset<org.apache.spark.sql.Row>stringDataFrameToVectorDataFrame(org.apache.spark.sql.SparkSession sparkSession, org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> inputDF) Convert a dataframe of comma-separated string rows to a dataframe of ml.linalg.Vector rows.
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Constructor Details
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RDDConverterUtilsExt
public RDDConverterUtilsExt()
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Method Details
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coordinateMatrixToBinaryBlock
public static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> coordinateMatrixToBinaryBlock(org.apache.spark.api.java.JavaSparkContext sc, org.apache.spark.mllib.linalg.distributed.CoordinateMatrix input, DataCharacteristics mcIn, boolean outputEmptyBlocks) -
coordinateMatrixToBinaryBlock
public static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> coordinateMatrixToBinaryBlock(org.apache.spark.SparkContext sc, org.apache.spark.mllib.linalg.distributed.CoordinateMatrix input, DataCharacteristics mcIn, boolean outputEmptyBlocks) -
projectColumns
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copyRowBlocks
public static void copyRowBlocks(MatrixBlock mb, int rowIndex, MatrixBlock ret, int numRowsPerBlock, int rlen, int clen) -
copyRowBlocks
public static void copyRowBlocks(MatrixBlock mb, long rowIndex, MatrixBlock ret, int numRowsPerBlock, int rlen, int clen) -
copyRowBlocks
public static void copyRowBlocks(MatrixBlock mb, int rowIndex, MatrixBlock ret, long numRowsPerBlock, long rlen, long clen) -
copyRowBlocks
public static void copyRowBlocks(MatrixBlock mb, long rowIndex, MatrixBlock ret, long numRowsPerBlock, long rlen, long clen) -
postProcessAfterCopying
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addIDToDataFrame
public static org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> addIDToDataFrame(org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> df, org.apache.spark.sql.SparkSession sparkSession, String nameOfCol) Add element indices as new column to DataFrame- Parameters:
df- input data framesparkSession- the Spark SessionnameOfCol- name of index column- Returns:
- new data frame
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stringDataFrameToVectorDataFrame
public static org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> stringDataFrameToVectorDataFrame(org.apache.spark.sql.SparkSession sparkSession, org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> inputDF) Convert a dataframe of comma-separated string rows to a dataframe of ml.linalg.Vector rows.Example input rows:
((1.2, 4.3, 3.4))
(1.2, 3.4, 2.2)
[[1.2, 34.3, 1.2, 1.25]]
[1.2, 3.4]
- Parameters:
sparkSession- Spark SessioninputDF- dataframe of comma-separated row strings to convert to dataframe of ml.linalg.Vector rows- Returns:
- dataframe of ml.linalg.Vector rows
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