[jira] [Updated] (SPARK-3146) Improve the flexibility of Spark Streaming Kafka API to offer user the ability to process message before storing into BM

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-3146?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen updated SPARK-3146:
-----------------------------
    Target Version/s:   (was: 1.2.0)

> Improve the flexibility of Spark Streaming Kafka API to offer user the ability to process message before storing into BM
> ------------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-3146
>                 URL: https://issues.apache.org/jira/browse/SPARK-3146
>             Project: Spark
>          Issue Type: Improvement
>          Components: Streaming
>    Affects Versions: 1.0.2, 1.1.0
>            Reporter: Saisai Shao
>
> Currently Spark Streaming Kafka API stores the key and value of each message into BM for processing, potentially this may lose the flexibility for different requirements:
> 1. currently topic/partition/offset information for each message is discarded by KafkaInputDStream. In some scenarios people may need this information to better filter the message, like SPARK-2388 described.
> 2. People may need to add timestamp for each message when feeding into Spark Streaming, which can better measure the system latency.
> 3. Checkpointing the partition/offsets or others...
> So here we add a messageHandler in interface to give people the flexibility to preprocess the message before storing into BM. In the meantime time this improvement keep compatible with current API.



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