RussellSpitzer commented on a change in pull request #3557:
URL: https://github.com/apache/iceberg/pull/3557#discussion_r768186858
##########
File path:
spark/v3.2/spark/src/main/java/org/apache/iceberg/spark/data/vectorized/ColumnarBatchReader.java
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@@ -61,80 +62,154 @@ public void setDeleteFilter(DeleteFilter<InternalRow>
deleteFilter) {
@Override
public final ColumnarBatch read(ColumnarBatch reuse, int numRowsToRead) {
- Preconditions.checkArgument(numRowsToRead > 0, "Invalid number of rows to
read: %s", numRowsToRead);
- ColumnVector[] arrowColumnVectors = new ColumnVector[readers.length];
-
if (reuse == null) {
closeVectors();
}
- Pair<int[], Integer> rowIdMapping = rowIdMapping(numRowsToRead);
+ ColumnBatchLoader batchLoader = new ColumnBatchLoader(numRowsToRead);
+ rowStartPosInBatch += numRowsToRead;
+ return batchLoader.columnarBatch;
+ }
- for (int i = 0; i < readers.length; i += 1) {
- vectorHolders[i] = readers[i].read(vectorHolders[i], numRowsToRead);
- int numRowsInVector = vectorHolders[i].numValues();
- Preconditions.checkState(
- numRowsInVector == numRowsToRead,
- "Number of rows in the vector %s didn't match expected %s ",
numRowsInVector,
- 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;
- if (rowIdMapping == null) {
- arrowColumnVectors[i] =
IcebergArrowColumnVector.forHolder(vectorHolders[i], numRowsInVector);
- } else {
- int[] rowIdMap = rowIdMapping.first();
- Integer numRows = rowIdMapping.second();
- arrowColumnVectors[i] =
ColumnVectorWithFilter.forHolder(vectorHolders[i], rowIdMap, numRows);
+ ColumnBatchLoader(int numRowsToRead) {
+ initRowIdMapping(numRowsToRead);
+ loadDataToColumnBatch(numRowsToRead);
+ }
+
+ ColumnarBatch loadDataToColumnBatch(int numRowsToRead) {
Review comment:
private right?
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