RussellSpitzer commented on code in PR #4888:
URL: https://github.com/apache/iceberg/pull/4888#discussion_r898097104
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spark/v3.2/spark/src/main/java/org/apache/iceberg/spark/data/vectorized/ColumnarBatchReader.java:
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@@ -72,31 +84,44 @@ public final ColumnarBatch read(ColumnarBatch reuse, int
numRowsToRead) {
}
private class ColumnBatchLoader {
- private int[] rowIdMapping; // the rowId mapping to skip deleted rows for
all column vectors inside a batch
- private int numRows;
private ColumnarBatch columnarBatch;
+ private final int numRowsToRead;
+ private int[] rowIdMapping; // the rowId mapping to skip deleted rows for
all column vectors inside a batch
+ private boolean[] isDeleted; // the array to indicate if a row is deleted
or not
ColumnBatchLoader(int numRowsToRead) {
- initRowIdMapping(numRowsToRead);
- loadDataToColumnBatch(numRowsToRead);
+ Preconditions.checkArgument(numRowsToRead > 0, "Invalid number of rows
to read: %s", numRowsToRead);
+ this.numRowsToRead = numRowsToRead;
+ this.columnarBatch = loadDataToColumnBatch();
}
- ColumnarBatch loadDataToColumnBatch(int numRowsToRead) {
- Preconditions.checkArgument(numRowsToRead > 0, "Invalid number of rows
to read: %s", numRowsToRead);
- ColumnVector[] arrowColumnVectors =
readDataToColumnVectors(numRowsToRead);
+ ColumnarBatch loadDataToColumnBatch() {
+ int numRowsUndeleted = initRowIdMapping();
+
+ ColumnVector[] arrowColumnVectors = readDataToColumnVectors();
- columnarBatch = new ColumnarBatch(arrowColumnVectors);
- columnarBatch.setNumRows(numRows);
+ ColumnarBatch newColumnarBatch = new ColumnarBatch(arrowColumnVectors);
+ newColumnarBatch.setNumRows(numRowsUndeleted);
if (hasEqDeletes()) {
- applyEqDelete();
+ numRowsUndeleted = applyEqDelete(newColumnarBatch);
+ }
+
+ if (hasColumnIsDeleted) {
Review Comment:
This is a nit but, i think this makes more sense read a `hasIsDeletedColumn`
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