You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Abhijit Bhole (JIRA)" <ji...@apache.org> on 2017/08/09 08:23:01 UTC
[jira] [Updated] (SPARK-21034) Allow filter pushdown filters
through non deterministic functions for columns involved in groupby / join
[ https://issues.apache.org/jira/browse/SPARK-21034?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Abhijit Bhole updated SPARK-21034:
----------------------------------
Summary: Allow filter pushdown filters through non deterministic functions for columns involved in groupby / join (was: Filter not getting pushed down the groupBy clause when first() or last() aggregate function is used)
> Allow filter pushdown filters through non deterministic functions for columns involved in groupby / join
> --------------------------------------------------------------------------------------------------------
>
> Key: SPARK-21034
> URL: https://issues.apache.org/jira/browse/SPARK-21034
> Project: Spark
> Issue Type: Bug
> Components: Optimizer, SQL
> Affects Versions: 2.1.1, 2.2.0
> Reporter: Abhijit Bhole
>
> Here is a sample code -
> {code:java}
> from pyspark.sql import functions as F
> df = spark.createDataFrame([{ "a": 1, "b" : 2, "c":7}, { "a": 3, "b" : 4, "c" : 8},
> { "a": 1, "b" : 5, "c":7}, { "a": 1, "b" : 6, "c":7} ])
> df.groupBy(["a"]).agg(F.sum("b")).where("a = 1").explain()
> df.groupBy(["a"]).agg(F.sum("b"), F.first("c")).where("a = 1").explain()
> == Physical Plan ==
> *HashAggregate(keys=[a#15L], functions=[sum(b#16L)])
> +- Exchange hashpartitioning(a#15L, 4)
> +- *HashAggregate(keys=[a#15L], functions=[partial_sum(b#16L)])
> +- *Project [a#15L, b#16L]
> +- *Filter (isnotnull(a#15L) && (a#15L = 1))
> +- Scan ExistingRDD[a#15L,b#16L,c#17L]
> >>>
> >>> df.groupBy(["a"]).agg(F.sum("b"), F.first("c")).where("a = 1").explain()
> == Physical Plan ==
> *Filter (isnotnull(a#15L) && (a#15L = 1))
> +- *HashAggregate(keys=[a#15L], functions=[sum(b#16L), first(c#17L, false)])
> +- Exchange hashpartitioning(a#15L, 4)
> +- *HashAggregate(keys=[a#15L], functions=[partial_sum(b#16L), partial_first(c#17L, false)])
> +- Scan ExistingRDD[a#15L,b#16L,c#17L]
> {code}
> As you can see, the filter is not pushed down when F.first aggregate function is used.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org