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https://issues.apache.org/jira/browse/ARROW-5224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16838299#comment-16838299
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Ji Liu commented on ARROW-5224:
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[[email protected]] Thanks for your reply.
For #2 you are right.
For #1, for example, if we do encoding Int or BigInt type like
[https://en.wikipedia.org/wiki/LEB128], we need to read each value and
reassemble byte, and the deserialize process as well. Can this be achieved by
existing implementation?
> [Java] Add APIs for supporting directly serialize/deserialize ValueVector
> -------------------------------------------------------------------------
>
> Key: ARROW-5224
> URL: https://issues.apache.org/jira/browse/ARROW-5224
> Project: Apache Arrow
> Issue Type: Improvement
> Reporter: Ji Liu
> Assignee: Ji Liu
> Priority: Minor
> Labels: pull-request-available
> Time Spent: 2h 20m
> Remaining Estimate: 0h
>
> There is no API to directly serialize/deserialize ValueVector. The only way
> to implement this is to put a single FieldVector in VectorSchemaRoot and
> convert it to ArrowRecordBatch, and the deserialize process is as well.
> Provide a utility class to implement this may be better, I know all
> serializations should follow IPC format so that data can be shared between
> different Arrow implementations. But for users who only use Java API and want
> to do some further optimization, this seem to be no problem and we could
> provide them a more option.
> This may take some benefits for Java user who only use ValueVector rather
> than IPC series classes such as ArrowReordBatch:
> * We could do some shuffle optimization such as compression and some
> encoding algorithm for numerical type which could greatly improve performance.
> * Do serialize/deserialize with the actual buffer size within vector since
> the buffer size is power of 2 which is actually bigger than it really need.
> * Reduce data conversion(VectorSchemaRoot, ArrowRecordBatch etc) to make it
> user-friendly.
>
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