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https://issues.apache.org/jira/browse/SPARK-29768?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16968028#comment-16968028
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yucai commented on SPARK-29768:
-------------------------------
[~smilegator] [~wenchen], is it an issue or work as desgin?
> nondeterministic expression fails column pruning
> ------------------------------------------------
>
> Key: SPARK-29768
> URL: https://issues.apache.org/jira/browse/SPARK-29768
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.4
> Reporter: yucai
> Priority: Major
>
> nondeterministic expression like monotonically_increasing_id fails column
> pruning
> {code}
> spark.range(10).selectExpr("id as key", "id * 2 as value").
> write.format("parquet").save("/tmp/source")
> spark.range(10).selectExpr("id as key", "id * 3 as s1", "id * 5 as s2").
> write.format("parquet").save("/tmp/target")
> val sourceDF = spark.read.parquet("/tmp/source")
> val targetDF = spark.read.parquet("/tmp/target").
> withColumn("row_id", monotonically_increasing_id())
> sourceDF.join(targetDF, "key").select("key", "row_id").explain()
> {code}
> Spark reads all columns from targetDF, but actually, we only need `key`
> column.
> {code}
> scala> sourceDF.join(targetDF, "key").select("key", "row_id").explain()
> == Physical Plan ==
> *(2) Project [key#78L, row_id#88L]
> +- *(2) BroadcastHashJoin [key#78L], [key#82L], Inner, BuildLeft
> :- BroadcastExchange HashedRelationBroadcastMode(List(input[0, bigint,
> true]))
> : +- *(1) Project [key#78L]
> : +- *(1) Filter isnotnull(key#78L)
> : +- *(1) FileScan parquet [key#78L] Batched: true, Format:
> Parquet, Location: InMemoryFileIndex[file:/tmp/source], PartitionFilters: [],
> PushedFilters: [IsNotNull(key)], ReadSchema: struct<key:bigint>
> +- *(2) Filter isnotnull(key#82L)
> +- *(2) Project [key#82L, monotonically_increasing_id() AS row_id#88L]
> +- *(2) FileScan parquet [key#82L,s1#83L,s2#84L] Batched: true,
> Format: Parquet, Location: InMemoryFileIndex[file:/tmp/target],
> PartitionFilters: [], PushedFilters: [], ReadSchema:
> struct<key:bigint,s1:bigint,s2:bigint>
> {code}
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