[jira] [Commented] (SPARK-28324) The LOG function using 10 as the base, but Spark using E
[
https://issues.apache.org/jira/browse/SPARK-28324?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17004653#comment-17004653
]
Takeshi Yamamuro commented on SPARK-28324:
--
I'll close this based on the discussion above. Thanks, all.
> The LOG function using 10 as the base, but Spark using E
>
>
> Key: SPARK-28324
> URL: https://issues.apache.org/jira/browse/SPARK-28324
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
>Affects Versions: 3.0.0
>Reporter: Yuming Wang
>Priority: Major
>
> Spark SQL:
> {code:sql}
> spark-sql> select log(10);
> 2.302585092994046
> {code}
> PostgreSQL:
> {code:sql}
> postgres=# select log(10);
> log
> -
>1
> (1 row)
> {code}
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-28324) The LOG function using 10 as the base, but Spark using E
[
https://issues.apache.org/jira/browse/SPARK-28324?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16884397#comment-16884397
]
Marco Gaido commented on SPARK-28324:
-
+1 for [~srowen]'s opinion. I don't think it is a good idea to change the
behavior here.
> The LOG function using 10 as the base, but Spark using E
>
>
> Key: SPARK-28324
> URL: https://issues.apache.org/jira/browse/SPARK-28324
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
>Affects Versions: 3.0.0
>Reporter: Yuming Wang
>Priority: Major
>
> Spark SQL:
> {code:sql}
> spark-sql> select log(10);
> 2.302585092994046
> {code}
> PostgreSQL:
> {code:sql}
> postgres=# select log(10);
> log
> -
>1
> (1 row)
> {code}
--
This message was sent by Atlassian JIRA
(v7.6.14#76016)
-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-28324) The LOG function using 10 as the base, but Spark using E
[
https://issues.apache.org/jira/browse/SPARK-28324?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16882288#comment-16882288
]
Sean Owen commented on SPARK-28324:
---
I don't think we should change this as it will break code and there isn't a
'standard' here AFAICT. As you say, Hive treats this as log base e, as does
Java, Scala, etc. You can add log10() etc.
> The LOG function using 10 as the base, but Spark using E
>
>
> Key: SPARK-28324
> URL: https://issues.apache.org/jira/browse/SPARK-28324
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
>Affects Versions: 3.0.0
>Reporter: Yuming Wang
>Priority: Major
>
> Spark SQL:
> {code:sql}
> spark-sql> select log(10);
> 2.302585092994046
> {code}
> PostgreSQL:
> {code:sql}
> postgres=# select log(10);
> log
> -
>1
> (1 row)
> {code}
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-28324) The LOG function using 10 as the base, but Spark using E
[
https://issues.apache.org/jira/browse/SPARK-28324?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16881748#comment-16881748
]
Yuming Wang commented on SPARK-28324:
-
PostgreSQL, Vertica, Teradata using 10 as the base.
DB2, SQL Server, Hive and MySQL using E as the base.
> The LOG function using 10 as the base, but Spark using E
>
>
> Key: SPARK-28324
> URL: https://issues.apache.org/jira/browse/SPARK-28324
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
>Affects Versions: 3.0.0
>Reporter: Yuming Wang
>Priority: Major
>
> Spark SQL:
> {code:sql}
> spark-sql> select log(10);
> 2.302585092994046
> {code}
> PostgreSQL:
> {code:sql}
> postgres=# select log(10);
> log
> -
>1
> (1 row)
> {code}
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
