anishshri-db commented on code in PR #47978:
URL: https://github.com/apache/spark/pull/47978#discussion_r1746560634
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sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/state/utils/SchemaUtil.scala:
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@@ -91,23 +90,22 @@ object SchemaUtil {
"change_type" -> classOf[StringType],
"key" -> classOf[StructType],
"value" -> classOf[StructType],
- "partition_id" -> classOf[IntegerType],
- "expiration_timestamp" -> classOf[LongType])
+ "single_value" -> classOf[StructType],
+ "list_value" -> classOf[ArrayType],
+ "partition_id" -> classOf[IntegerType])
val expectedFieldNames = if (sourceOptions.readChangeFeed) {
Seq("batch_id", "change_type", "key", "value", "partition_id")
} else if (transformWithStateVariableInfoOpt.isDefined) {
val stateVarInfo = transformWithStateVariableInfoOpt.get
- val hasTTLEnabled = stateVarInfo.ttlEnabled
val stateVarType = stateVarInfo.stateVariableType
stateVarType match {
case StateVariableType.ValueState =>
Review Comment:
Not sure what you mean. The only difference is the additional sub-column if
TTL is enabled right ?
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