apache / apache/paimon

[umbrella][Feature] Improve the performance of querying paimon table on spark

Open
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enhancement
Dominant language
Java
Stars
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Forks
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Avg merge
1d 11h
Merged PRs (30d)
396

Description

### Search before asking

- [X] I searched in the [issues](https://github.com/apache/incubator-paimon/issues) and found nothing similar.

### Motivation

Improve the performance of querying paimon table on spark.

### Solution

_No response_

### Anything else?

_No response_

### Are you willing to submit a PR?

- [ ] I'm willing to submit a PR!

Contributor guide

No contributing guide indexed for this repository

Research direction

The issue identifies Spark queries against Paimon tables as the target but names no files, tests, entry points, or specific bottleneck. Start by locating the Spark query implementation and existing performance tests, then define a measurable baseline and acceptance criteria before choosing a change. Done should mean a demonstrated query-performance improvement with coverage or benchmark evidence.

Written by the indexing model from the issue text.

Assessment

Tech stack
java, spark
Domain
data-engineering
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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