Emit and Read min/max statistics for int96 timestamp columns
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 38/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- java
- Domain
- data-engineering
Research direction
Start by tracing parquet-java's existing statistics handling for timestamp columns and compare the expected int96 min/max representation with the behavior of known-good writers such as Photon. The work is done when parquet-java emits and reads correct min/max statistics for int96 timestamp columns, with coverage for both paths.
Written by the indexing model from the issue text.
Description
Describe the enhancement requested
Parquet-java does not emit or read stats for int96 timestamp columns. Since int96 is used as the default timestamp in spark, this limits a lot of optimization opportunities. Engines like Photon populate the statistics for the int96 timestamps correctly. So parquet-java coud also emit the statistics, and also allow reading these statistics from known good writers.
Component(s)
No response
- Dominant language
- Java
- Stars
- 3.1k
- Forks
- 1.6k
- Avg merge
- 6d 16h
- Merged PRs (30d)
- 36
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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