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org.apache.spark.sql.delta

RowIndexFilter

trait RowIndexFilter extends AnyRef

Provides filtering information for each row index within given range. Specific filters are implemented in subclasses.

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Abstract Value Members

  1. abstract def materializeIntoVector(start: Long, end: Long, batch: WritableColumnVector): Unit

    Materialize filtering information for all rows in the range [start, end) by filling a boolean column vector batch.

    Materialize filtering information for all rows in the range [start, end) by filling a boolean column vector batch. Assumes the indexes of the rows in the batch are consecutive and start from 0.

    start

    Beginning index of the filtering range (inclusive).

    end

    End index of the filtering range (exclusive).

    batch

    The column vector for the current batch to materialize the range into.

  2. abstract def materializeIntoVectorWithRowIndex(batchSize: Int, rowIndexColumn: ColumnVector, batch: WritableColumnVector): Unit

    Materialize filtering information for all rows in the batch.

    Materialize filtering information for all rows in the batch. This is achieved by probing the roaring bitmap with the row index of every row in the batch.

    batchSize

    The size of the batch.

    rowIndexColumn

    A column vector that contains the row index of each row in the batch.

    batch

    The column vector for the current batch to materialize the range into.

  3. abstract def materializeSingleRowWithRowIndex(rowIndex: Long, batch: WritableColumnVector): Unit

    Materialize filtering information for batches with a single row.

    Materialize filtering information for batches with a single row.

    rowIndex

    The index of the row to materialize the filtering information.

    batch

    The column vector for the current batch to materialize the range into. We assume it contains a single row.

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