[GitHub] spark issue #20579: [SPARK-23372][SQL] Writing empty struct in parquet fails...
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[GitHub] spark issue #20579: [SPARK-23372][SQL] Writing empty struct in parquet fails...
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Github user dilipbiswal commented on the issue: https://github.com/apache/spark/pull/20579 @cloud-fan ok. --- - 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/20579 LGTM, can we add something to the migration guide? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #20579: [SPARK-23372][SQL] Writing empty struct in parquet fails...
Github user dilipbiswal commented on the issue: https://github.com/apache/spark/pull/20579 @cloud-fan Thank you. I assumed (wrongly) that we don't want to change the behaviour for an external file based datasource and we wanted to scope our check only to spark built in data sources. I have made the change based on your suggestion. I have parked the verifySchema method in DataSource for now. Pl. let me know if thats the right place or we want to move it to a Utility class ? --- - 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 dilipbiswal commented on the issue: https://github.com/apache/spark/pull/20579 @gatorsmile When you get a chance, could you please see if the check for internal datasource looks reasonable ? --- - 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 dilipbiswal commented on the issue: https://github.com/apache/spark/pull/20579 @gatorsmile Thank you Sean. I will follow your suggestion. --- - 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 gatorsmile commented on the issue: https://github.com/apache/spark/pull/20579 Check whether the format is file-based data sources? Then, we do not need to check the same thing for different file sources. --- - 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 dilipbiswal commented on the issue: https://github.com/apache/spark/pull/20579 @cloud-fan OK.. i was thinking of adding this check in each built in datasource like Text, CSV, Parquet, ORC, JSON etc. Just like we check it in Parquet with this PR. Would you have any concern with that approach ? That would some duplicate code under each specific format , but gives us the flexibility to change the behaviour for a datasource should we need ? What do you think ? --- - 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/20579 After some more thoughts, we should try our best to not introduce behavior change to existing data sources. How about we only add this check for file-based data sources(all of them are built-in)? We can have a follow-up JIRA to add this check for data source v2. --- - 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 dilipbiswal commented on the issue: https://github.com/apache/spark/pull/20579 @cloud-fan @rdblue Thank you for clarification. I am sorry, i hadn't seen your comments before i pushed the last change which targets only parquet. I will adjust the fix to target all formats in a future commit. Thanks again !! --- - 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 rdblue commented on the issue: https://github.com/apache/spark/pull/20579 I agree, we should probably add a check for storing a DataFrame with no columns for now. This is normally caught by the pre-insert rules, but since the table is getting "created" in this case there is nothing to check. In the future, I think that the create and insert should be logically separate so that the create will fail and complain that you can't create a table without at least one column. I think it will be cleaner to separate concerns like that. --- - 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/20579 I think this should be applied to all data sources not only parquet. I can't think of any cases that a data source needs to write data with empty schema, cc @rdblue for confirmation. --- - 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 dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/20579 Retest this please. --- - 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 hvanhovell commented on the issue: https://github.com/apache/spark/pull/20579 @dilipbiswal this is a nice improvement. I left a few comments. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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