sunchao commented on a change in pull request #34659:
URL: https://github.com/apache/spark/pull/34659#discussion_r838980484
##########
File path:
sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedParquetRecordReader.java
##########
@@ -246,25 +249,25 @@ private void initBatch(
}
}
+ WritableColumnVector[] vectors;
if (memMode == MemoryMode.OFF_HEAP) {
- columnVectors = OffHeapColumnVector.allocateColumns(capacity,
batchSchema);
+ vectors = OffHeapColumnVector.allocateColumns(capacity, batchSchema);
} else {
- columnVectors = OnHeapColumnVector.allocateColumns(capacity,
batchSchema);
+ vectors = OnHeapColumnVector.allocateColumns(capacity, batchSchema);
+ }
+ columnarBatch = new ColumnarBatch(vectors);
+
+ columnVectors = new ParquetColumnVector[sparkSchema.fields().length];
+ for (int i = 0; i < columnVectors.length; i++) {
+ columnVectors[i] = new
ParquetColumnVector(parquetColumn.children().apply(i),
Review comment:
The `parquetColumn` corresponds to the `StructType` for Spark's
requested schema, so we need to apply on the children of it. Let me know if I
understand your question correctly.
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
