Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/18014#discussion_r118621670
--- Diff:
sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/OnHeapColumnVector.java
---
@@ -386,6 +425,35 @@ public void putArray(int rowId, int offset, int
length) {
}
@Override
+ public void putArray(int rowId, Object src, int srcOffset, int
dstOffset, int numElements) {
+ DataType et = type;
+ reserve(dstOffset + numElements);
+ if (et == DataTypes.BooleanType || et == DataTypes.ByteType) {
+ Platform.copyMemory(
+ src, srcOffset, byteData, Platform.BYTE_ARRAY_OFFSET + dstOffset,
numElements);
+ } else if (et == DataTypes.BooleanType || et == DataTypes.ByteType) {
+ Platform.copyMemory(
+ src, srcOffset, shortData, Platform.SHORT_ARRAY_OFFSET + dstOffset
* 2, numElements * 2);
+ } else if (et == DataTypes.IntegerType || et == DataTypes.DateType ||
+ DecimalType.is32BitDecimalType(type)) {
+ Platform.copyMemory(
+ src, srcOffset, intData, Platform.INT_ARRAY_OFFSET + dstOffset *
4, numElements * 4);
+ } else if (type instanceof LongType || type instanceof TimestampType ||
+ DecimalType.is64BitDecimalType(type)) {
+ Platform.copyMemory(
+ src, srcOffset, longData, Platform.LONG_ARRAY_OFFSET + dstOffset *
8, numElements * 8);
+ } else if (et == DataTypes.FloatType) {
+ Platform.copyMemory(
+ src, srcOffset, floatData, Platform.FLOAT_ARRAY_OFFSET + dstOffset
* 4, numElements * 4);
+ } else if (et == DataTypes.DoubleType) {
+ Platform.copyMemory(
+ src, srcOffset, doubleData, Platform.DOUBLE_ARRAY_OFFSET +
dstOffset * 8, numElements * 8);
+ } else {
+ throw new RuntimeException("Unhandled " + type);
--- End diff --
if we wanna support nested arrays, do we need to do multiple bulk copies?
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