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Posted to issues@spark.apache.org by "ABHISHEK KUMAR GUPTA (Jira)" <ji...@apache.org> on 2019/10/25 06:29:00 UTC
[jira] [Created] (SPARK-29600) array_contains built in function is
not backward compatible in 3.0
ABHISHEK KUMAR GUPTA created SPARK-29600:
--------------------------------------------
Summary: array_contains built in function is not backward compatible in 3.0
Key: SPARK-29600
URL: https://issues.apache.org/jira/browse/SPARK-29600
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 3.0.0
Reporter: ABHISHEK KUMAR GUPTA
SELECT array_contains(array(0,0.1,0.2,0.3,0.5,0.02,0.033), .2); throws Exception in 3.0 where as in 2.3.2 is working fine.
Spark 3.0 output:
0: jdbc:hive2://10.18.19.208:23040/default> SELECT array_contains(array(0,0.1,0.2,0.3,0.5,0.02,0.033), .2);
Error: org.apache.spark.sql.AnalysisException: cannot resolve 'array_contains(array(CAST(0 AS DECIMAL(13,3)), CAST(0.1BD AS DECIMAL(13,3)), CAST(0.2BD AS DECIMAL(13,3)), CAST(0.3BD AS DECIMAL(13,3)), CAST(0.5BD AS DECIMAL(13,3)), CAST(0.02BD AS DECIMAL(13,3)), CAST(0.033BD AS DECIMAL(13,3))), 0.2BD)' due to data type mismatch: Input to function array_contains should have been array followed by a value with same element type, but it's [array<decimal(13,3)>, decimal(1,1)].; line 1 pos 7;
'Project [unresolvedalias(array_contains(array(cast(0 as decimal(13,3)), cast(0.1 as decimal(13,3)), cast(0.2 as decimal(13,3)), cast(0.3 as decimal(13,3)), cast(0.5 as decimal(13,3)), cast(0.02 as decimal(13,3)), cast(0.033 as decimal(13,3))), 0.2), None)]
+- OneRowRelation (state=,code=0)
0: jdbc:hive2://10.18.19.208:23040/default> ne 1 pos 7;
Error: org.apache.spark.sql.catalyst.parser.ParseException:
mismatched input 'ne' expecting \{'(', 'ADD', 'ALTER', 'ANALYZE', 'CACHE', 'CLEAR', 'COMMIT', 'CREATE', 'DELETE', 'DESC', 'DESCRIBE', 'DFS', 'DROP', 'EXPLAIN', 'EXPORT', 'FROM', 'GRANT', 'IMPORT', 'INSERT', 'LIST', 'LOAD', 'LOCK', 'MAP', 'MSCK', 'REDUCE', 'REFRESH', 'REPLACE', 'RESET', 'REVOKE', 'ROLLBACK', 'SELECT', 'SET', 'SHOW', 'START', 'TABLE', 'TRUNCATE', 'UNCACHE', 'UNLOCK', 'USE', 'VALUES', 'WITH'}(line 1, pos 0)
== SQL ==
ne 1 pos 7
^^^ (state=,code=0)
Spark 2.3.2 output
0: jdbc:hive2://10.18.18.214:23040/default> SELECT array_contains(array(0,0.1,0.2,0.3,0.5,0.02,0.033), .2);
+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+--+
| array_contains(array(CAST(0 AS DECIMAL(13,3)), CAST(0.1 AS DECIMAL(13,3)), CAST(0.2 AS DECIMAL(13,3)), CAST(0.3 AS DECIMAL(13,3)), CAST(0.5 AS DECIMAL(13,3)), CAST(0.02 AS DECIMAL(13,3)), CAST(0.033 AS DECIMAL(13,3))), CAST(0.2 AS DECIMAL(13,3))) |
+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+--+
| true |
+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+--+
1 row selected (0.18 seconds)
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