Takeshi Yamamuro created SPARK-35329:
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Summary: Split generated switch code into pieces in ExpandExec
Key: SPARK-35329
URL: https://issues.apache.org/jira/browse/SPARK-35329
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 3.2.0
Reporter: Takeshi Yamamuro
This ticket aim at splitting generated switch code into smaller ones in
`ExpandExec`. In the current master, even a simple query like the one below
generates a large method whose size (`maxMethodCodeSize:7448`) is close to
`8000` (`CodeGenerator.DEFAULT_JVM_HUGE_METHOD_LIMIT`);
{code:java}
scala> val df = Seq(("2016-03-27 19:39:34", 1, "a"), ("2016-03-27 19:39:56", 2,
"a"), ("2016-03-27 19:39:27", 4, "b")).toDF("time", "value", "id")
scala> val rdf = df.select(window($"time", "10 seconds", "3 seconds", "0
second"), $"value").orderBy($"window.start".asc, $"value".desc).select("value")
scala> sql("SET spark.sql.adaptive.enabled=false")
scala> import org.apache.spark.sql.execution.debug._
scala> rdf.debugCodegen
Found 2 WholeStageCodegen subtrees.
== Subtree 1 / 2 (maxMethodCodeSize:7448; maxConstantPoolSize:189(0.29% used);
numInnerClasses:0) ==
^^^^
*(1) Project [window#34.start AS _gen_alias_39#39, value#11]
+- *(1) Filter ((isnotnull(window#34) AND (cast(time#10 as timestamp) >=
window#34.start)) AND (cast(time#10 as timestamp) < window#34.end))
+- *(1) Expand [List(named_struct(start, precisetimestampcon...
{code}
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