AngersZhuuuu commented on a change in pull request #29085:
URL: https://github.com/apache/spark/pull/29085#discussion_r456301933
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File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/BaseScriptTransformationExec.scala
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@@ -87,17 +131,55 @@ trait BaseScriptTransformationExec extends UnaryExecNode {
}
}
}
+
+ private lazy val fieldWriters: Seq[String => Any] = output.map { attr =>
+ val converter =
CatalystTypeConverters.createToCatalystConverter(attr.dataType)
+ attr.dataType match {
+ case StringType => (data: String) => converter(data)
+ case ByteType => (data: String) => converter(data.toByte)
+ case IntegerType => (data: String) => converter(data.toInt)
+ case ShortType => (data: String) => converter(data.toShort)
+ case LongType => (data: String) => converter(data.toLong)
+ case FloatType => (data: String) => converter(data.toFloat)
+ case DoubleType => (data: String) => converter(data.toDouble)
+ case dt: DecimalType => (data: String) => converter(BigDecimal(data))
+ case DateType if conf.datetimeJava8ApiEnabled => (data: String) =>
Review comment:
@maropu Yes, current Script transform with default hive serde only can
support basic data type, cant support array/map/staruct/timestamp etc. Here we
support a simple Default serde that can replace LazySimpleSerde
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