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https://issues.apache.org/jira/browse/GRIFFIN-213?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16690695#comment-16690695
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Nikolay Sokolov commented on GRIFFIN-213:
-----------------------------------------

[~Lionel_3L]  [~guoyp] do you have any thoughts on that proposal?

> Support pluggable datasource connectors
> ---------------------------------------
>
>                 Key: GRIFFIN-213
>                 URL: https://issues.apache.org/jira/browse/GRIFFIN-213
>             Project: Griffin (Incubating)
>          Issue Type: Improvement
>            Reporter: Nikolay Sokolov
>            Priority: Minor
>
> As of Griffin 0.3, code modification is required, in order to add new data 
> connectors.
> Proposal is to add new data connector type, CUSTOM, that would allow to 
> specify class name of data connector implementation to use. Additional jars 
> with custom connector implementations would be provided in spark 
> configuration template.
> Class name would be specified in "class" config of data connector. For 
> example:
> {code:json}
> "connectors": [
>         {
>           "type": "CUSTOM",
>           "config": {
>             "class": "org.example.griffin.JDBCConnector"
>             // extra connector-specific parameters
>           }
>         }
>       ]
> {code}
> Proposed contract for implementations is based on current convention:
>  - for batch
>  ** class should be a subclass of BatchDataConnector
>  ** if should have method with signature:
> {code:java}
> public static BatchDataConnector apply(ctx: BatchDataConnectorContext)
> {code}
>  - for streaming
>  ** class should be a subclass of StreamingDataConnector
>  ** it should have method with signature:
> {code:java}
> public static StreamingDataConnector apply(ctx: StreamingDataConnectorContext)
> {code}
> Signatures of context objects:
> {code:scala}
> case class BatchDataConnectorContext(@transient sparkSession: SparkSession,
>                                      dcParam: DataConnectorParam,
>                                      timestampStorage: TimestampStorage)
> case class StreamingDataConnectorContext(@transient sparkSession: 
> SparkSession,
>                                          @transient ssc: StreamingContext,
>                                          dcParam: DataConnectorParam,
>                                          timestampStorage: TimestampStorage,
>                                          streamingCacheClientOpt: 
> Option[StreamingCacheClient])
> {code}



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