Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/11435#discussion_r54936905
--- Diff:
sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ColumnVectorUtils.java
---
@@ -41,6 +43,58 @@ public static String toString(ColumnVector.Array a) {
}
/**
+ * Populates the entire `col` with `row[fieldIdx]`
+ */
+ public static void populate(ColumnVector col, InternalRow row, int
fieldIdx) {
+ int capacity = col.capacity;
+ DataType t = col.dataType();
+
+ if (row.isNullAt(fieldIdx)) {
+ col.putNulls(0, capacity);
+ } else {
+ if (t == DataTypes.BooleanType) {
+ col.putBooleans(0, capacity, row.getBoolean(fieldIdx));
+ } else if (t == DataTypes.ByteType) {
+ col.putBytes(0, capacity, row.getByte(fieldIdx));
+ } else if (t == DataTypes.ShortType) {
+ col.putShorts(0, capacity, row.getShort(fieldIdx));
+ } else if (t == DataTypes.IntegerType) {
+ col.putInts(0, capacity, row.getInt(fieldIdx));
+ } else if (t == DataTypes.LongType) {
+ col.putLongs(0, capacity, row.getLong(fieldIdx));
+ } else if (t == DataTypes.FloatType) {
+ col.putFloats(0, capacity, row.getFloat(fieldIdx));
+ } else if (t == DataTypes.DoubleType) {
+ col.putDoubles(0, capacity, row.getDouble(fieldIdx));
+ } else if (t == DataTypes.StringType) {
+ UTF8String v = row.getUTF8String(fieldIdx);
+ for (int i = 0; i < capacity; i++) {
+ col.putByteArray(i, v.getBytes());
+ }
+ } else if (t instanceof DecimalType) {
+ DecimalType dt = (DecimalType)t;
+ Decimal d = row.getDecimal(fieldIdx, dt.precision(), dt.scale());
+ if (dt.precision() <= Decimal.MAX_LONG_DIGITS()) {
--- End diff --
We use int for those decimal with precision <= 9
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