Github user BryanCutler commented on a diff in the pull request:
https://github.com/apache/spark/pull/18787#discussion_r132252558
--- 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);
--- End diff --
The max `capacity` only has meaning when allocating `ColumnVectors` so it
doesn't really do
anything for read-only vectors. You need to call`setNumRows` to tell the
batch how many rows there for the given columns, it doesn't look at the
capacity in the individual vectors.
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