HeartSaVioR commented on code in PR #48985:
URL: https://github.com/apache/spark/pull/48985#discussion_r1861288638
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sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/TransformWithStateExec.scala:
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@@ -83,6 +83,23 @@ case class TransformWithStateExec(
// dummy value schema, the real schema will get during state variable init
time
private val DUMMY_VALUE_ROW_SCHEMA = new StructType().add("value",
BinaryType)
+ // We need to just initialize key and value deserializer once per partition.
+ // The deserializers need to be lazily created on the executor since they
+ // are not serializable.
+ // TODO we can further optimize this to be done once per query.
+ // Currently, the deserializers are created once per partition per batch.
+ // We can improve this by creating the deserializers once per query run.
+ // To do this, we need adjust certain APIs in CodeGenerator to allow
+ // us to generate the code and compile it separately. We can
+ // generate the java code on the driver side and compile it on the executor
side.
+ // Note that we only need to compile it once on the executor side since
there is a cache
+ // that allows us to reuse the compiled code.
Review Comment:
+1 to @neilramaswamy
@jerrypeng Could you please file a new JIRA ticket and just leave a JIRA
ticket like `TODO (SPARK-XXXXX): optimize further to do this in query level` in
the code comment rather than describing the thing? Honestly, it sounds to be
less priority for me and mostly revisited only when we observe performance
issue.
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