Spark Structured streaming: multiple sinks

We are consuming from Kafka using structured streaming and writing the processed data set to s3.

We also want to write the processed data to Kafka moving forward, is it possible to do it from the same streaming query ? (spark version 2.1.1)

In the logs, I see the streaming query progress output and I have a sample duration JSON from the log, can some one please provide more clarity on what the difference is between addBatch and getBatch?

TriggerExecution - is it the time take to both process the fetched data and writing to the sink?

"durationMs" : {
    "addBatch" : 2263426,
    "getBatch" : 12,
    "getOffset" : 273,
   "queryPlanning" : 13,
    "triggerExecution" : 2264288,
    "walCommit" : 552
},