[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/14546 Yep. I confirmed that it was nicely resolved at https://github.com/apache/spark/commit/6bf20cd9460fd27c3e1e434b1cf31a3778ec3443 . Thank you for review, @yhuai and @clockfly , @gatorsmile . --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
Github user yhuai commented on the issue: https://github.com/apache/spark/pull/14546 @dongjoon-hyun Seems this issue has been fixed as a by-product of https://github.com/apache/spark/pull/14595. How about we close this? Also, feel free to look at @clockfly's follow-up pr. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
Github user clockfly commented on the issue:
https://github.com/apache/spark/pull/14546
Similar case happens to order by. We don't need "order by ordinal" to
reproduce the Analysis error.
```
'Sort ('a)
+- Aggregate [2], [count(1) AS count(1)#83L, a#81]
+- SubqueryAlias tmp
+- Project [1 AS a#81]
+- OneRowRelation$
```
Aggregate is treated as resolved even if it has a group by ordinal "2".
Then, it tries to resolve the Sort by putting the `SortOrder` expression of
Sort as a aggregation expression:
```
!'Aggregate [2], ['a]
+- SubqueryAlias tmp
+- Project [1 AS a#81]
+- OneRowRelation$
```
This plan is wrong because we are asking for ordinal "2", but actually
there is only one
aggregation expression ['a]
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
Github user clockfly commented on the issue: https://github.com/apache/spark/pull/14546 @dongjoon-hyun I have implemented the idea in https://github.com/apache/spark/pull/14616 --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
Github user clockfly commented on the issue: https://github.com/apache/spark/pull/14546 I think a proper fix will be marking ordinal unresolved, the ordinal can exists in group by or order by expression. Then we can make sure the ResolveAggregateFunctions and other analyzer rules doesn't assume the ordinals are resolved, and do pre-mature Analysis. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
Github user clockfly commented on the issue:
https://github.com/apache/spark/pull/14546
I think the root cause is that the Aggregate operator is treated as
resolved if even it has group by ordinals.
For example:
```
'Filter ('a > 0)
+- Aggregate [2], [count(1) AS count(1)#83L, a#81]
+- SubqueryAlias tmp
+- Project [1 AS a#81]
+- OneRowRelation$
```
Aggregate is treated as resolved even if it has a group by ordinal "2".
Then, it tries to resolve the `Filter` by putting the `Filter` as a
aggregation expression:
```
!'Aggregate [2], [('a > 0) AS havingCondition#84]
+- SubqueryAlias tmp
+- Project [1 AS a#81]
+- OneRowRelation$
```
Actually this plan is already wrong. As we are asking for ordinal "2", but
actually there is only one
aggregation expression `[('a > 0) AS havingCondition#84] `
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
Github user clockfly commented on the issue: https://github.com/apache/spark/pull/14546 @dongjoon-hyun The exception was muted by line: https://github.com/apache/spark/pull/14546/files#diff-57b3d87be744b7d79a9beacf8e5e5eb2R1257 If you add some log message, you wils find it still throws exception like: ``` org.apache.spark.sql.AnalysisException: GROUP BY position 2 is not in select list (valid range is [1, 1]); line 1 pos 53 ... ``` --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/14546 Anyway, I rebased the branch to resolve the conflict. I checked your case after rebasing. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/14546
Hi, @clockfly .
It is different issue since this PR aims to solve the case of both GROUP BY
and ORDER BY existence.
However, this PR solve that problem too. Your case makes exceptions in
current master. But in this PR,
```scala
scala> sql("select count(*), a from (select 1 as a) tmp group by 2 having a
> 0").show
++---+
|count(1)| a|
++---+
| 1| 1|
++---+
```
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/14546 Thank you, @clockfly . I'll check that! --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
Github user clockfly commented on the issue:
https://github.com/apache/spark/pull/14546
I believe this doesn't fix all the cases.
How about
```
sql("select count(*), a from (select 1 as a) tmp group by 2 having a >
0").show
```
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
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[GitHub] spark issue #14546: [SPARK-16955][SQL] Using ordinals in ORDER BY and GROUP ...
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