Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/12440#discussion_r60525541
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/CodeGenerator.scala
---
@@ -271,6 +271,74 @@ class CodegenContext {
}
/**
+ * Returns the specialized code to set a given value in a column vector
for a given `DataType`.
+ */
+ def setValue(batch: String, row: String, dataType: DataType, ordinal:
Int,
+ value: String): String = {
+ val jt = javaType(dataType)
+ dataType match {
+ case _ if isPrimitiveType(jt) =>
+ s"$batch.column($ordinal).put${primitiveTypeName(jt)}($row,
$value);"
+ case t: DecimalType => s"$batch.column($ordinal).putDecimal($row,
$value, ${t.precision});"
+ case t: StringType => s"$batch.column($ordinal).putByteArray($row,
$value.getBytes());"
+ case _ =>
+ throw new IllegalArgumentException(s"cannot generate code for
unsupported type: $dataType")
+ }
+ }
+
+ /**
+ * Returns the specialized code to set a given value in a column vector
for a given `DataType`
+ * that could potentially be nullable.
+ */
+ def updateColumn(
+ batch: String,
+ row: String,
+ dataType: DataType,
+ ordinal: Int,
+ ev: ExprCode,
+ nullable: Boolean): String = {
+ if (nullable) {
+ // Can't call setNullAt on DecimalType, because we need to keep the
offset
--- End diff --
For batch, this is not true.
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