Hi,

We are using flink1.3.2 and trying to explore rocksdb state backend and
checkpointing. Data source is Kafka and checkpointing enabled in Flink.
We have few doubts regarding the same:

   - What is the exact difference between checkpoint and state backend?
   - Is the data stored in rocksdb checkpoints incremental(it keeps all
   past data also in newer file)? New checkpoint is created after defined
   interval and does it contains the previous checkpoint's data? Our use case
   demands all the checkpoint data to be in a single db, but when we manually
   restart the job it's id changes and new directory gets created(new metadata
   file in case of savepoints).
   - What data does rocksdb stores inside in case of checkpoints? We are
   interested in knowing whether it stores actual aggregations or it stores
   the offsets metadata for an aggregation window?
   - If we run aggregations on past data, then will it take help of state
   backend to not run aggregations again and give results by querying the
   state backend, saving the processing time?


-- 
*Ashwin Sinha *| Data Engineer
ashwin.si...@go-mmt.com <shivam.sha...@go-mmt.com> | 9452075361
<https://www.makemytrip.com/> <https://www.goibibo.com/>
<https://www.redbus.in/>2nd floor, Tower B Divyashree Technopolis Yemalur,
Bangalore, Karnataka 560025, India
<https://www.redbus.in/>

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