Class RDDConverterUtilsExt

java.lang.Object
org.apache.sysds.runtime.instructions.spark.utils.RDDConverterUtilsExt

public class RDDConverterUtilsExt extends Object
NOTE: These are experimental converter utils. Once thoroughly tested, they can be moved to RDDConverterUtils.
  • Constructor Details

    • RDDConverterUtilsExt

      public RDDConverterUtilsExt()
  • Method Details

    • 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

      public static 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)
    • 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

      public static void postProcessAfterCopying(MatrixBlock ret)
    • 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 frame
      sparkSession - the Spark Session
      nameOfCol - name of index column
      Returns:
      new data frame
    • 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 Session
      inputDF - dataframe of comma-separated row strings to convert to dataframe of ml.linalg.Vector rows
      Returns:
      dataframe of ml.linalg.Vector rows