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https://issues.apache.org/jira/browse/FLINK-16627?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17323057#comment-17323057
]
Flink Jira Bot commented on FLINK-16627:
----------------------------------------
This issue is assigned but has not received an update in 7 days so it has been
labeled "stale-assigned". If you are still working on the issue, please give an
update and remove the label. If you are no longer working on the issue, please
unassign so someone else may work on it. In 7 days the issue will be
automatically unassigned.
> Support only generate non-null values when serializing into JSON
> ----------------------------------------------------------------
>
> Key: FLINK-16627
> URL: https://issues.apache.org/jira/browse/FLINK-16627
> Project: Flink
> Issue Type: New Feature
> Components: Formats (JSON, Avro, Parquet, ORC, SequenceFile), Table
> SQL / Planner
> Affects Versions: 1.10.0
> Reporter: jackray wang
> Assignee: jackray wang
> Priority: Major
> Labels: sprint, stale-assigned
>
> {code:java}
> //sql
> CREATE TABLE sink_kafka ( subtype STRING , svt STRING ) WITH (……）
> {code}
>
> {code:java}
> //sql
> CREATE TABLE source_kafka ( subtype STRING , svt STRING ) WITH (……）
> {code}
>
> {code:java}
> //scala udf
> class ScalaUpper extends ScalarFunction {
> def eval(str: String) : String= {
> if(str == null){
> return ""
> }else{
> return str
> }
> }
>
> }
> btenv.registerFunction("scala_upper", new ScalaUpper())
> {code}
>
> {code:java}
> //sql
> insert into sink_kafka select subtype, scala_upper(svt) from source_kafka
> {code}
>
>
> ----
> Sometimes the svt's value is null, inert into kafkas json like
> \{"subtype":"qin","svt":null}
> If the amount of data is small, it is acceptable，but we process 10TB of data
> every day, and there may be many nulls in the json, which affects the
> efficiency. If you can add a parameter to remove the null key when defining a
> sinktable, the performance will be greatly improved
>
>
>
>
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