You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Jungtaek Lim (Jira)" <ji...@apache.org> on 2020/06/10 20:48:00 UTC

[jira] [Commented] (SPARK-31961) Add a class in spark with all Kafka configuration key available as string

    [ https://issues.apache.org/jira/browse/SPARK-31961?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17132707#comment-17132707 ] 

Jungtaek Lim commented on SPARK-31961:
--------------------------------------

Don't you think the constant should be available in Kafka instead of Spark? Spark should try to avoid being tie to the specific version of Kafka in codebase. If Kafka provides it, what you need is just add "kafka." as prefix.

> 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")



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org