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Posted to commits@cassandra.apache.org by "Alex Petrov (Jira)" <ji...@apache.org> on 2019/11/10 16:44:00 UTC
[jira] [Commented] (CASSANDRA-14846) Drop/Add Column Pre-existing
Data Inconsistency
[ https://issues.apache.org/jira/browse/CASSANDRA-14846?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16971160#comment-16971160 ]
Alex Petrov commented on CASSANDRA-14846:
-----------------------------------------
Probably the best and most intuitive for schema changes to work is to treat any added column as a completely new column (which is also likely to be a prerequisite for implementing better/consistent schema). However, adding something like undrop sounds like a good thing for quick recovery in case of accidental removal.
> Drop/Add Column Pre-existing Data Inconsistency
> -----------------------------------------------
>
> Key: CASSANDRA-14846
> URL: https://issues.apache.org/jira/browse/CASSANDRA-14846
> Project: Cassandra
> Issue Type: Bug
> Components: CQL/Semantics, Local/SSTable
> Reporter: Benedict Elliott Smith
> Priority: Normal
>
> If we drop a column, any data that is compacted before we add a column with the same name (and compatible type) will be lost, but any data that was not compacted will continue to be returned. This seems problematic - surely we should consider all data prior to a Drop to be lost? Re-adding a column of the same name should reset the column’s contents?
> This would also permit us to not worry about the types being consistent in the case of a dropped column (only alter column need worry about this)
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