[jira] [Commented] (SPARK-29600) array_contains built in function is not backward compatible in 3.0

2019-12-17 Thread Aman Omer (Jira) 


[ 
https://issues.apache.org/jira/browse/SPARK-29600?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16998413#comment-16998413
 ] 

Aman Omer commented on SPARK-29600:
---

ID: aman_omer
[~cloud_fan]

> 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
>Priority: Major
> Fix For: 3.0.0
>
>
> {code}
> SELECT array_contains(array(0,0.1,0.2,0.3,0.5,0.02,0.033), .2); 
> {code}
> throws Exception in 3.0 where as in 2.3.2 is working fine.
> Spark 3.0 output:
> {code}
> 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(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)]
> {code}
> Spark 2.3.2 output
> {code}
> 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)
> {code}
>  
>  



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[jira] [Commented] (SPARK-29600) array_contains built in function is not backward compatible in 3.0

2019-11-17 Thread Udbhav Agrawal (Jira) 


[ 
https://issues.apache.org/jira/browse/SPARK-29600?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16976319#comment-16976319
 ] 

Udbhav Agrawal commented on SPARK-29600:


Hi [~hyukjin.kwon], this failure is because we cannot after the above behavior 
chnage spark doesn't cast the literal to array type . For example:

> 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
>Priority: Major
>
> 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(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)]
> 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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[jira] [Commented] (SPARK-29600) array_contains built in function is not backward compatible in 3.0

2019-11-06 Thread ABHISHEK KUMAR GUPTA (Jira) 


[ 
https://issues.apache.org/jira/browse/SPARK-29600?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16968909#comment-16968909
 ] 

ABHISHEK KUMAR GUPTA commented on SPARK-29600:
--

[~Udbhav Agrawal]: I gone through the migration guide and it is more talking 
about the "In Spark 2.4, AnalysisException is thrown since integer type can not 
be promoted to string type in a loss-less manner." which is not the case in the 
above query.

> 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
>Priority: Major
>
> 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(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)]
> 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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[jira] [Commented] (SPARK-29600) array_contains built in function is not backward compatible in 3.0

2019-11-05 Thread Udbhav Agrawal (Jira) 


[ 
https://issues.apache.org/jira/browse/SPARK-29600?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16967567#comment-16967567
 ] 

Udbhav Agrawal commented on SPARK-29600:


Yes [~hyukjin.kwon] ,
Hi [~abhishek.akg] please check there was a behavior change in array_contains 
function, which has been documented in 
[sql-migration-guide|https://github.com/apache/spark/blob/master/docs/sql-migration-guide.md#upgrading-from-spark-sql-23-to-24]
  

> 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
>Priority: Major
>
> 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(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)]
> 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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[jira] [Commented] (SPARK-29600) array_contains built in function is not backward compatible in 3.0

2019-11-05 Thread Hyukjin Kwon (Jira) 


[ 
https://issues.apache.org/jira/browse/SPARK-29600?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16967466#comment-16967466
 ] 

Hyukjin Kwon commented on SPARK-29600:
--

[~Udbhav Agrawal]did you made some progresses on this?

> 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
>Priority: Major
>
> 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(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)]
> 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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[jira] [Commented] (SPARK-29600) array_contains built in function is not backward compatible in 3.0

2019-10-28 Thread Hyukjin Kwon (Jira) 


[ 
https://issues.apache.org/jira/browse/SPARK-29600?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16960988#comment-16960988
 ] 

Hyukjin Kwon commented on SPARK-29600:
--

Please go ahead but please just don't copy and paste. Narrow down the problem 
with analysis otherwise no one can investigate.

> 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
>Priority: Major
>
> 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(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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[jira] [Commented] (SPARK-29600) array_contains built in function is not backward compatible in 3.0

2019-10-25 Thread Udbhav Agrawal (Jira) 


[ 
https://issues.apache.org/jira/browse/SPARK-29600?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16959467#comment-16959467
 ] 

Udbhav Agrawal commented on SPARK-29600:


I will check this issue


> 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
>Priority: Major
>
> 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(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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