Denis Tarima created SPARK-37696:
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Summary: Optimizer exceeds max iterations
Key: SPARK-37696
URL: https://issues.apache.org/jira/browse/SPARK-37696
Project: Spark
Issue Type: Bug
Components: Spark Core
Affects Versions: 3.2.0
Reporter: Denis Tarima
A specific scenario causing Spark's failure in tests and a warning in
production:
21/12/20 06:45:24 WARN BaseSessionStateBuilder$$anon$2: Max iterations (100)
reached for batch Operator Optimization before Inferring Filters, please set
'spark.sql.optimizer.maxIterations' to a larger value.
21/12/20 06:45:24 WARN BaseSessionStateBuilder$$anon$2: Max iterations (100)
reached for batch Operator Optimization after Inferring Filters, please set
'spark.sql.optimizer.maxIterations' to a larger value.
To reproduce run the following commands in `spark-shell`:
{{// define case class for a struct type in an array}}
{{case class S(v: Int, v2: Int)}}
{{// prepare a table with an array of structs}}
{{Seq((10, Seq(S(1, 2)))).toDF("i", "data").write.saveAsTable("tbl")}}
{{{}// select using SQL and join with a dataset using "left_anti"{}}}{{{}{}}}
{{{}{}}}{{{}spark.sql("select i, data[size(data) - 1].v from
tbl").join(Seq(10).toDF("i"), Seq("i"), "left_anti").show(){}}}
The following conditions are required:
# Having additional `v2` field in `S`
# Using `{{{}data[size(data) - 1]{}}}` instead of `{{{}element_at(data,
-1){}}}`
# Using `{{{}left_anti{}}}` in join operation
The same behavior was observed in `master` branch and `3.1.1`.
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