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Posted to issues@spark.apache.org by "shaharlewy@gmail.com (Jira)" <ji...@apache.org> on 2022/05/26 07:10:00 UTC
[jira] [Created] (SPARK-39302) Spark SQL - wrong field selection in group by
shaharlewy@gmail.com created SPARK-39302:
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Summary: Spark SQL - wrong field selection in group by
Key: SPARK-39302
URL: https://issues.apache.org/jira/browse/SPARK-39302
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 3.1.2
Reporter: shaharlewy@gmail.com
SQL parser select wrong field to group by.
See following example.
Sample data:
{code:java}
spark.sql("""
select "US" as pv_countryCode
union all
select "IL" as pv_countryCode
""").createOrReplaceTempView("my_test_data")
spark.sql("""
select -3 as id, "US" as countryCode
""").createOrReplaceTempView("country_codes_sample")
{code}
code:
{code:java}
spark.sql("""
select "US" as pv_countryCode
union all
select "IL" as pv_countryCode
""").createOrReplaceTempView("my_test_data")
spark.sql("""
select -3 as id, "US" as countryCode
""").createOrReplaceTempView("country_codes_sample")
{code}
Error:
{code:java}
org.apache.spark.sql.AnalysisException: expression 'cct.`id`' is neither present in the group by, nor is it an aggregate function. Add to group by or wrap in first() (or first_value) if you don't care which value you get.;
Aggregate [country_id#910], [coalesce(id#886, -3) AS country_id#908, count(1) AS count#909L]
+- Join LeftOuter, (countryCode#887 = country_id#910)
:- SubqueryAlias BASE
: +- Project [pv_countryCode#883 AS country_id#910]
: +- SubqueryAlias my_test_data
: +- Union false, false
: :- Project [US AS pv_countryCode#883]
: : +- OneRowRelation
: +- Project [IL AS pv_countryCode#884]
: +- OneRowRelation
+- SubqueryAlias cct
+- SubqueryAlias country_codes_sample
+- Project [-3 AS id#886, US AS countryCode#887]
+- OneRowRelation {code}
I expected Spark to choose the selected country_id(country_id#908) instead of country_id#910
Or at least throw ambiguous exception when grouping by `country_id`.
This lead developers to add `cct.id` into group by which results in unexpected results.
(In case country_id has both null and -3 values)
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