[jira] [Updated] (FLINK-12820) Support ignoring null fields when writing to Cassandra

["ASF GitHub Bot (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/FLINK-12820?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

ASF GitHub Bot updated FLINK-12820:
-----------------------------------
    Labels: pull-request-available  (was: )

> Support ignoring null fields when writing to Cassandra
> ------------------------------------------------------
>
>                 Key: FLINK-12820
>                 URL: https://issues.apache.org/jira/browse/FLINK-12820
>             Project: Flink
>          Issue Type: Improvement
>          Components: Connectors / Cassandra
>    Affects Versions: 1.8.0
>            Reporter: Ozan Cicekci
>            Priority: Minor
>              Labels: pull-request-available
>
> Currently, records which have null fields are written to their corresponding columns in Cassandra as null. Writing null is basically a 'delete' for Cassandra, it's useful if nulls should correspond to deletes in the data model, but nulls can also indicate a missing data or partial column update. In that case, we end up overwriting columns of existing record on Cassandra with nulls. 
>  
> I believe it's already possible to ignore null values for POJO's with mapper options, as documented here:
> [https://ci.apache.org/projects/flink/flink-docs-stable/dev/connectors/cassandra.html#cassandra-sink-example-for-streaming-pojo-data-type]
>  
> But this is not possible when using scala tuples or case classes. Perhaps with a Cassandra sink configuration flag, null values can be unset using below option for tuples and case classes.
> [https://docs.datastax.com/en/drivers/java/3.0/com/datastax/driver/core/BoundStatement.html#unset-int-]
>  
> Here is the equivalent configuration in spark-cassandra-connector;
> [https://github.com/datastax/spark-cassandra-connector/blob/master/doc/5_saving.md#globally-treating-all-nulls-as-unset]



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