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https://issues.apache.org/jira/browse/SPARK-31961?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17133214#comment-17133214
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Gabor Somogyi commented on SPARK-31961:
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+1 on not addig this. Spark should be loosely coupled with Kafka + the
constants are already available in Kafka.
The mentioned string magic should work.
{quote}If you feel bad to add "kafka." as prefix then please submit a PR to
propose the fix.{quote}
This can be defined in app code.
> Add a class in spark with all Kafka configuration key available as string
> -------------------------------------------------------------------------
>
> Key: SPARK-31961
> URL: https://issues.apache.org/jira/browse/SPARK-31961
> Project: Spark
> Issue Type: New Feature
> Components: SQL, Structured Streaming
> Affects Versions: 2.4.6
> Reporter: Gunjan Kumar
> Priority: Minor
> Labels: kafka, sql, structured-streaming
>
> Add a class in spark with all Kafka configuration key available as string.
> see the highligted class which i want.
> eg:-
> Current code:-
> val df_cluster1 = spark
> .read
> .format("kafka")
> .option("kafka.bootstrap.servers","cluster1_host:cluster1_port)
> .option("subscribe", "topic1")
> Expected code:-
> val df_cluster1 = spark
> .read
> .format("kafka")
> .option(*KafkaConstantClass*.KAFKA_BOOTSTRAP_SERVERS,"cluster1_host:cluster1_port)
> .option(*KafkaConstantClass*.subscribe, "topic1")
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