Github user BryanCutler commented on a diff in the pull request:
https://github.com/apache/spark/pull/18787#discussion_r132246475
--- Diff:
sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ColumnarBatch.java
---
@@ -65,15 +65,35 @@
final Row row;
public static ColumnarBatch allocate(StructType schema, MemoryMode
memMode) {
- return new ColumnarBatch(schema, DEFAULT_BATCH_SIZE, memMode);
+ return allocate(schema, memMode, DEFAULT_BATCH_SIZE);
}
public static ColumnarBatch allocate(StructType type) {
- return new ColumnarBatch(type, DEFAULT_BATCH_SIZE,
DEFAULT_MEMORY_MODE);
+ return allocate(type, DEFAULT_MEMORY_MODE, DEFAULT_BATCH_SIZE);
}
public static ColumnarBatch allocate(StructType schema, MemoryMode
memMode, int maxRows) {
- return new ColumnarBatch(schema, maxRows, memMode);
+ ColumnVector[] columns = allocateCols(schema, maxRows, memMode);
+ return new ColumnarBatch(schema, columns, maxRows);
+ }
+
+ private static ColumnVector[] allocateCols(StructType schema, int
maxRows, MemoryMode memMode) {
+ ColumnVector[] columns = new ColumnVector[schema.size()];
+ for (int i = 0; i < schema.fields().length; ++i) {
+ StructField field = schema.fields()[i];
+ columns[i] = ColumnVector.allocate(maxRows, field.dataType(),
memMode);
+ }
+ return columns;
+ }
+
+ public static ColumnarBatch createReadOnly(
+ StructType schema,
+ ReadOnlyColumnVector[] columns,
+ int numRows) {
+ assert(schema.length() == columns.length);
+ ColumnarBatch batch = new ColumnarBatch(schema, columns, numRows);
+ batch.setNumRows(numRows);
--- End diff --
The `ArrowColumnVector.valueCount`
[here](https://github.com/BryanCutler/spark/blob/23d19dfde53d02c37a2c20f67c9816a73bd57cd2/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ArrowColumnVector.java#L35)
would need to be moved to `ReadOnlyColumnVector` which could go in place of
the capacity. If @ueshin thinks that's ok to do so here, I can add that.
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