datafusion-contrib / datafusion-contrib/StreamFusion

Paimon sink: take the bundle pass-through path once Paimon stops walking bundles row by row

Open
#39 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

enhancement
Dominant language
Java
Stars
120
Forks
8
Avg merge
7h 29m
Merged PRs (30d)
76

Description

Released Paimon 2.0.0 walks a bundle row by row in RowDataFileWriter.writeBundle (counting sequence numbers and, in the buffered spill path, serializing rows) before handing the bundle to the BundleFormatWriter. StreamFusion's bundle rows are zero-copy Arrow views so this costs a per-row cursor move rather than a transpose, but it is still per-row work on the Java side of every batch.

When a Paimon release passes bundles through to the format writer without the row walk (or offers a bundle-level sequence-number update), switch the native writer to that direct path; NativePaimonParquetWriter already encodes the whole batch once and only needs the walk removed. Track the upstream change and re-measure with NexmarkPaimonSinkBenchmark.

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Track the Paimon release change affecting RowDataFileWriter.writeBundle and BundleFormatWriter, then inspect NativePaimonParquetWriter for the existing whole-batch encoding path. Once bundle pass-through or bundle-level sequence updates are available, remove the row walk and re-measure with NexmarkPaimonSinkBenchmark.

Written by the indexing model from the issue text.

Assessment

Tech stack
java
Domain
data-engineering, performance
Issue type
Refactor
Difficulty
4/5
Estimated time
3-5 days
Activity status
Active
Clarity
Mostly clear
Newbie friendliness
45/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.