Description
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`);
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...