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Posted to commits@cassandra.apache.org by "Caleb Rackliffe (Jira)" <ji...@apache.org> on 2024/02/02 23:31:00 UTC

[jira] [Updated] (CASSANDRA-19018) An SAI-specific mechanism to ensure consistency isn't violated for multi-column (i.e. AND) queries at CL > ONE

     [ https://issues.apache.org/jira/browse/CASSANDRA-19018?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Caleb Rackliffe updated CASSANDRA-19018:
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    Attachment: ci_summary-1.html
                result_details.tar-1.gz

> An SAI-specific mechanism to ensure consistency isn't violated for multi-column (i.e. AND) queries at CL > ONE
> --------------------------------------------------------------------------------------------------------------
>
>                 Key: CASSANDRA-19018
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-19018
>             Project: Cassandra
>          Issue Type: Bug
>          Components: Consistency/Coordination, Feature/SAI
>            Reporter: Caleb Rackliffe
>            Assignee: Caleb Rackliffe
>            Priority: Normal
>             Fix For: 5.0-rc, 5.x
>
>         Attachments: ci_summary-1.html, ci_summary.html, result_details.tar-1.gz, result_details.tar.gz
>
>          Time Spent: 8h 50m
>  Remaining Estimate: 0h
>
> CASSANDRA-19007 is going to be where we add a guardrail around filtering/index queries that use intersection/AND over partially updated non-key columns. (ex. Restricting one clustering column and one normal column does not cause a consistency problem, as primary keys cannot be partially updated.) This issue exists to attempt to fix this specifically for SAI in 5.0.x, as Accord will (last I checked) not be available until the 5.1 release.
> The SAI-specific version of the originally reported issue is this:
> {noformat}
> try (Cluster cluster = init(Cluster.build(2).withConfig(config -> config.with(GOSSIP).with(NETWORK)).start()))
>         {
>             cluster.schemaChange(withKeyspace("CREATE TABLE %s.t (k int PRIMARY KEY, a int, b int)"));
>             cluster.schemaChange(withKeyspace("CREATE INDEX ON %s.t(a) USING 'sai'"));
>             cluster.schemaChange(withKeyspace("CREATE INDEX ON %s.t(b) USING 'sai'"));
>             // insert a split row
>             cluster.get(1).executeInternal(withKeyspace("INSERT INTO %s.t(k, a) VALUES (0, 1)"));
>             cluster.get(2).executeInternal(withKeyspace("INSERT INTO %s.t(k, b) VALUES (0, 2)"));
>         // Uncomment this line and test succeeds w/ partial writes completed...
>         //cluster.get(1).nodetoolResult("repair", KEYSPACE).asserts().success();
>             String select = withKeyspace("SELECT * FROM %s.t WHERE a = 1 AND b = 2");
>             Object[][] initialRows = cluster.coordinator(1).execute(select, ConsistencyLevel.ALL);
>             assertRows(initialRows, row(0, 1, 2)); // not found!!
>         }
> {noformat}
> To make a long story short, the local SAI indexes are hiding local partial matches from the coordinator that would combine there to form full matches. Simple non-index filtering queries also suffer from this problem, but they hide the partial matches in a different way. I'll outline a possible solution for this in the comments that takes advantage of replica filtering protection and the repaired/unrepaired datasets...and attempts to minimize the amount of extra row data sent to the coordinator.



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