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org.apache.spark.sql.delta.commands

DeletionVectorBitmapGenerator

object DeletionVectorBitmapGenerator

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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  4. final val DELETED_ROW_INDEX_BITMAP: String("deletedRowIndexSet")
  5. final val DELETED_ROW_INDEX_COUNT: String("deletedRowIndexCount")
  6. final val FILE_DV_ID_COL: String("deletionVectorId")
  7. final val FILE_NAME_COL: String("filePath")
  8. final val MAX_ROW_INDEX_COL: String("maxRowIndexCol")
  9. final val ROW_INDEX_COL: String("rowIndexCol")
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  11. def buildDeletionVectors(spark: SparkSession, target: DataFrame, targetDeltaLog: DeltaLog, deltaTxn: OptimisticTransaction): Seq[DeletionVectorResult]

    Build bitmap compressed sets of row indices for each file in target using ROW_INDEX_COL.

    Build bitmap compressed sets of row indices for each file in target using ROW_INDEX_COL. Write those sets out to temporary files and collect the file names, together with some encoded metadata about the contents.

    target

    DataFrame with expected schema FILE_NAME_COL, ROW_INDEX_COL,

  12. def buildRowIndexSetsForFilesMatchingCondition(sparkSession: SparkSession, txn: OptimisticTransaction, tableHasDVs: Boolean, targetDf: DataFrame, candidateFiles: Seq[AddFile], condition: Expression, fileNameColumnOpt: Option[Column] = None, rowIndexColumnOpt: Option[Column] = None): Seq[DeletionVectorResult]
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