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Posted to issues@spark.apache.org by "Sujith Jay Nair (JIRA)" <ji...@apache.org> on 2018/01/03 10:08:00 UTC
[jira] [Commented] (SPARK-17833) 'monotonicallyIncreasingId()'
should be deterministic
[ https://issues.apache.org/jira/browse/SPARK-17833?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16309411#comment-16309411 ]
Sujith Jay Nair commented on SPARK-17833:
-----------------------------------------
This issue is resolved in 2.0, as mentioned in [SPARK-14241 | https://issues.apache.org/jira/browse/SPARK-14241]
> 'monotonicallyIncreasingId()' should be deterministic
> -----------------------------------------------------
>
> Key: SPARK-17833
> URL: https://issues.apache.org/jira/browse/SPARK-17833
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Kevin Ushey
> Priority: Critical
>
> Right now, it's (IMHO) too easy to shoot yourself in the foot using 'monotonicallyIncreasingId()', as it's easy to expect the generated numbers to function as a 'stable' primary key, for example, and then go on to use that key in e.g. 'joins' and so on.
> Is there any reason why this function can't be made deterministic? Or, could a deterministic analogue of this function be added (e.g. 'withPrimaryKey(columnName = ...)')?
> A solution is to immediately cache / persist the table after calling 'monotonicallyIncreasingId()'; it's also possible that the documentation should spell that out loud and clear.
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