[jira] [Updated] (SPARK-45079) percentile_approx() fails with an internal error on NULL accuracy

2023-09-06 Thread Max Gekk (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-45079?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Max Gekk updated SPARK-45079:
-
Fix Version/s: 3.3.4

> percentile_approx() fails with an internal error on NULL accuracy
> -
>
> Key: SPARK-45079
> URL: https://issues.apache.org/jira/browse/SPARK-45079
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 3.3.2, 3.4.1, 3.5.0, 4.0.0
>Reporter: Max Gekk
>Assignee: Max Gekk
>Priority: Major
> Fix For: 3.4.2, 3.5.0, 4.0.0, 3.3.4
>
>
> The example below demonstrates the issue:
> {code:sql}
> spark-sql (default)> SELECT percentile_approx(col, array(0.5, 0.4, 0.1), 
> NULL) FROM VALUES (0), (1), (2), (10) AS tab(col);
> [INTERNAL_ERROR] The Spark SQL phase analysis failed with an internal error. 
> You hit a bug in Spark or the Spark plugins you use. Please, report this bug 
> to the corresponding communities or vendors, and provide the full stack trace.
> {code}



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

[jira] [Updated] (SPARK-45079) percentile_approx() fails with an internal error on NULL accuracy

2023-09-05 Thread Max Gekk (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-45079?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Max Gekk updated SPARK-45079:
-
Affects Version/s: 3.3.2

> percentile_approx() fails with an internal error on NULL accuracy
> -
>
> Key: SPARK-45079
> URL: https://issues.apache.org/jira/browse/SPARK-45079
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 3.3.2, 3.4.1, 3.5.0, 4.0.0
>Reporter: Max Gekk
>Assignee: Max Gekk
>Priority: Major
>
> The example below demonstrates the issue:
> {code:sql}
> spark-sql (default)> SELECT percentile_approx(col, array(0.5, 0.4, 0.1), 
> NULL) FROM VALUES (0), (1), (2), (10) AS tab(col);
> [INTERNAL_ERROR] The Spark SQL phase analysis failed with an internal error. 
> You hit a bug in Spark or the Spark plugins you use. Please, report this bug 
> to the corresponding communities or vendors, and provide the full stack trace.
> {code}



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

[jira] [Updated] (SPARK-45079) percentile_approx() fails with an internal error on NULL accuracy

2023-09-05 Thread Max Gekk (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-45079?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Max Gekk updated SPARK-45079:
-
Affects Version/s: 3.5.0

> percentile_approx() fails with an internal error on NULL accuracy
> -
>
> Key: SPARK-45079
> URL: https://issues.apache.org/jira/browse/SPARK-45079
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 3.4.1, 3.5.0, 4.0.0
>Reporter: Max Gekk
>Assignee: Max Gekk
>Priority: Major
>
> The example below demonstrates the issue:
> {code:sql}
> spark-sql (default)> SELECT percentile_approx(col, array(0.5, 0.4, 0.1), 
> NULL) FROM VALUES (0), (1), (2), (10) AS tab(col);
> [INTERNAL_ERROR] The Spark SQL phase analysis failed with an internal error. 
> You hit a bug in Spark or the Spark plugins you use. Please, report this bug 
> to the corresponding communities or vendors, and provide the full stack trace.
> {code}



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

[jira] [Updated] (SPARK-45079) percentile_approx() fails with an internal error on NULL accuracy

2023-09-05 Thread Max Gekk (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-45079?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Max Gekk updated SPARK-45079:
-
Affects Version/s: 3.4.1

> percentile_approx() fails with an internal error on NULL accuracy
> -
>
> Key: SPARK-45079
> URL: https://issues.apache.org/jira/browse/SPARK-45079
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 3.4.1, 4.0.0
>Reporter: Max Gekk
>Assignee: Max Gekk
>Priority: Major
>
> The example below demonstrates the issue:
> {code:sql}
> spark-sql (default)> SELECT percentile_approx(col, array(0.5, 0.4, 0.1), 
> NULL) FROM VALUES (0), (1), (2), (10) AS tab(col);
> [INTERNAL_ERROR] The Spark SQL phase analysis failed with an internal error. 
> You hit a bug in Spark or the Spark plugins you use. Please, report this bug 
> to the corresponding communities or vendors, and provide the full stack trace.
> {code}



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

[jira] [Updated] (SPARK-45079) percentile_approx() fails with an internal error on NULL accuracy

2023-09-05 Thread Max Gekk (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-45079?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Max Gekk updated SPARK-45079:
-
Description: 
The example below demonstrates the issue:

{code:sql}
spark-sql (default)> SELECT percentile_approx(col, array(0.5, 0.4, 0.1), NULL) 
FROM VALUES (0), (1), (2), (10) AS tab(col);
[INTERNAL_ERROR] The Spark SQL phase analysis failed with an internal error. 
You hit a bug in Spark or the Spark plugins you use. Please, report this bug to 
the corresponding communities or vendors, and provide the full stack trace.
{code}


  was:
The example below demonstrates the issue:

{code:sql}
spark-sql (default)> SELECT to_char(x'537061726b2053514c', CAST(NULL AS 
STRING));
[INTERNAL_ERROR] The Spark SQL phase analysis failed with an internal error. 
You hit a bug in Spark or the Spark plugins you use. Please, report this bug to 
the corresponding communities or vendors, and provide the full stack trace.
{code}



> percentile_approx() fails with an internal error on NULL accuracy
> -
>
> Key: SPARK-45079
> URL: https://issues.apache.org/jira/browse/SPARK-45079
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 4.0.0
>Reporter: Max Gekk
>Assignee: Max Gekk
>Priority: Major
>
> The example below demonstrates the issue:
> {code:sql}
> spark-sql (default)> SELECT percentile_approx(col, array(0.5, 0.4, 0.1), 
> NULL) FROM VALUES (0), (1), (2), (10) AS tab(col);
> [INTERNAL_ERROR] The Spark SQL phase analysis failed with an internal error. 
> You hit a bug in Spark or the Spark plugins you use. Please, report this bug 
> to the corresponding communities or vendors, and provide the full stack trace.
> {code}



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

[jira] [Updated] (SPARK-45079) percentile_approx() fails with an internal error on NULL accuracy

2023-09-05 Thread Max Gekk (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-45079?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Max Gekk updated SPARK-45079:
-
Fix Version/s: (was: 4.0.0)

> percentile_approx() fails with an internal error on NULL accuracy
> -
>
> Key: SPARK-45079
> URL: https://issues.apache.org/jira/browse/SPARK-45079
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 4.0.0
>Reporter: Max Gekk
>Assignee: Max Gekk
>Priority: Major
>
> The example below demonstrates the issue:
> {code:sql}
> spark-sql (default)> SELECT to_char(x'537061726b2053514c', CAST(NULL AS 
> STRING));
> [INTERNAL_ERROR] The Spark SQL phase analysis failed with an internal error. 
> You hit a bug in Spark or the Spark plugins you use. Please, report this bug 
> to the corresponding communities or vendors, and provide the full stack trace.
> {code}



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org