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https://issues.apache.org/jira/browse/SPARK-20246?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Weiluo Ren updated SPARK-20246:
-------------------------------
Description:
`import org.apache.spark.sql.functions._`
`spark.range(1,1000).distinct.withColumn("random", rand()).filter(col("random")
> 0.3).orderBy("random").show`
gives wrong result.
In the optimized logical plan, it shows that the filter with the
non-deterministic predicate is pushed beneath the aggregate operator, which
should not happen.
cc [~lian cheng]
was:
`
import org.apache.spark.sql.functions._
spark.range(1,1000).distinct.withColumn("random", rand()).filter(col("random")
> 0.3).orderBy("random").show
`
gives wrong result.
In the optimized logical plan, it shows that the filter with the
non-deterministic predicate is pushed beneath the aggregate operator, which
should not happen.
cc [~lian cheng]
> Should check determinism when pushing predicates down through aggregation
> -------------------------------------------------------------------------
>
> Key: SPARK-20246
> URL: https://issues.apache.org/jira/browse/SPARK-20246
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.1.0
> Reporter: Weiluo Ren
>
> `import org.apache.spark.sql.functions._`
> `spark.range(1,1000).distinct.withColumn("random",
> rand()).filter(col("random") > 0.3).orderBy("random").show`
> gives wrong result.
> In the optimized logical plan, it shows that the filter with the
> non-deterministic predicate is pushed beneath the aggregate operator, which
> should not happen.
> cc [~lian cheng]
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