Github user nongli commented on a diff in the pull request:
https://github.com/apache/spark/pull/10593#discussion_r49765061
--- Diff:
sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/UnsafeRowParquetRecordReader.java
---
@@ -154,6 +184,45 @@ public float getProgress() throws IOException,
InterruptedException {
return (float) rowsReturned / totalRowCount;
}
+ /**
+ * Returns the ColumnarBatch object that will be used for all rows
returned by this reader.
+ * This object is reused. Calling this enables the vectorized reader. It
is not valid to
+ * call nextKeyValue/nextBatch before calling this.
+ */
+ public ColumnarBatch resultBatch() {
+ return resultBatch(DEFAULT_OFFHEAP);
+ }
+ public ColumnarBatch resultBatch(boolean offHeap) {
+ if (columnarBatch == null) {
+ columnarBatch = ColumnarBatch.allocate(sparkSchema, offHeap);
+ }
+ return columnarBatch;
+ }
+
+ /**
+ * Advances to the next batch of rows. Returns false if there are no
more.
+ */
+ public boolean nextBatch() throws IOException {
+ assert(columnarBatch != null);
+ columnarBatch.reset();
+ if (rowsReturned >= totalRowCount) return false;
+ checkEndOfRowGroup();
+
+ int num = (int)Math.min((long) columnarBatch.capacity(), totalRowCount
- rowsReturned);
+ for (int i = 0; i < columnReaders.length; ++i) {
+ switch (columnReaders[i].descriptor.getType()) {
+ case INT32:
--- End diff --
No. I plan to support binary as nested types which involves more
complicated changes in the ColumnarBatch classes.
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