[GitHub] spark issue #17758: [SPARK-20460][SPARK-21144][SQL] Make it more consistent ...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/17758 Actually after more thoughts, I think it's ok to do the validation in `RunnableCommand.run`, as it's still done in the driver side. --- 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 #17758: [SPARK-20460][SPARK-21144][SQL] Make it more consistent ...
Github user maropu commented on the issue: https://github.com/apache/spark/pull/17758 Who calls `DDLCommand.validate`? Do you assume a new analyzer rule like `DDLCommandAnalysis`? --- 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 #17758: [SPARK-20460][SPARK-21144][SQL] Make it more consistent ...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/17758 one more comment: putting all validating logic in `ProcessDDLCommand` looks not that good, how about we create a `DDLCommand` trait with a `def validate(): Unit` interface, so that each DDL command can write their own validating logic in the command itself? --- 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 #17758: [SPARK-20460][SPARK-21144][SQL] Make it more consistent ...
Github user maropu commented on the issue: https://github.com/apache/spark/pull/17758 Aha, ok. I'll move there. --- 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 user cloud-fan commented on the issue: https://github.com/apache/spark/pull/17758 > In other cases, we need to ad-hoc check the duplication (e.g., JDBCRelation) I think `DataSource.resolveRelation` is a good place to do it. --- 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 user maropu commented on the issue: https://github.com/apache/spark/pull/17758 Jenkins, retest this please. --- 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 #17758: [SPARK-20460][SPARK-21144][SQL] Make it more consistent ...
Github user maropu commented on the issue: https://github.com/apache/spark/pull/17758 BTW (I think this is not related to this pr though), I saw many validation checks in `RunnableCommand.run()`. IMHO these checks also should be done in an analyzer phase (e.g., [here](https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/command/tables.scala#L193)), maybe --- 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 #17758: [SPARK-20460][SPARK-21144][SQL] Make it more consistent ...
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/17758
Based on the suggestion @cloud-fan did, I brushed up this code again and
fixed the policy to check the duplication;
The check for the SQL(DDL) case:
- This check should be done in `PreprocessDDLCommands` (that is, in the
analyzer). So, I moved the existing checks into there.
The check for the datasource case:
- The check for a user-defined data/paritiotn schema should be done in the
DataSource constructor.
- In the inferred case via `FileFormat` and `FileIndex`, the check sould
be done in `getOrInferFileFormatSchema` (So, if we add a new format in
datasources, we need not check for the format).
Since the original target in this pr was to make the existing duplication
check more explicit, I didn't touch the existing behaviour as much as possible.
For example;
```
scala> Seq((1, 1)).toDF("a", "a").createOrReplaceTempView("t")
scala> sql("SELECT * FROM t").show
+---+---+
| a| a|
+---+---+
| 1| 1|
+---+---+
```
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[GitHub] spark issue #17758: [SPARK-20460][SPARK-21144][SQL] Make it more consistent ...
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[GitHub] spark issue #17758: [SPARK-20460][SPARK-21144][SQL] Make it more consistent ...
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[GitHub] spark issue #17758: [SPARK-20460][SPARK-21144][SQL] Make it more consistent ...
Github user maropu commented on the issue: https://github.com/apache/spark/pull/17758 ok, I'll recheck the policy and put the summary here. --- 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 #17758: [SPARK-20460][SPARK-21144][SQL] Make it more consistent ...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/17758 It's a little messy about where we need to add this check, @maropu can you give a summary about it? thanks! --- 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 #17758: [SPARK-20460][SPARK-21144][SQL] Make it more consistent ...
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[GitHub] spark issue #17758: [SPARK-20460][SPARK-21144][SQL] Make it more consistent ...
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[GitHub] spark issue #17758: [SPARK-20460][SPARK-21144][SQL] Make it more consistent ...
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[GitHub] spark issue #17758: [SPARK-20460][SPARK-21144][SQL] Make it more consistent ...
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