dinesh sachdev created SPARK-45666:
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Summary: spark-sql-kafka-0-10_2.11 - Custom Configuration's for
Partitioner not set.
Key: SPARK-45666
URL: https://issues.apache.org/jira/browse/SPARK-45666
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.4.0
Environment: We had a requirement to write Custom
org.apache.kafka.clients.producer.Partitioner to use with Kafka Data Source
available with package "{{{}spark-sql-kafka-0-10_2.11{}}} "
Ideally, properties set as part of Producer are available to Partitioner
method -
|{{[configure|https://kafka.apache.org/24/javadoc/org/apache/kafka/common/Configurable.html#configure-java.util.Map-]([Map|https://docs.oracle.com/javase/8/docs/api/java/util/Map.html?is-external=true]<[String|https://docs.oracle.com/javase/8/docs/api/java/lang/String.html?is-external=true],?>
configs)}}|
But, we realized that Custom properties passed as options to Kafka format
DataFrameWriter are not available to Partitioner whether we append that
property with literal "kafka." or not.
Only, Configs listed on -
[https://kafka.apache.org/documentation/#producerconfigs] were passed to
Partitioner. But, in some cases it is required to pass custom properties for
initialization of Partitioner.
Thus, there should be provision to set custom properties as options with Kafka
Data Source not just producer configs. Otherwise, custom partitioner can't be
initialized and implemented as per need.
Reporter: dinesh sachdev
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