Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Implement a benchmark for extracting arrow statistics from parquet #10606

Closed
Tracked by #10453
alamb opened this issue May 21, 2024 · 1 comment · Fixed by #10610
Closed
Tracked by #10453

Implement a benchmark for extracting arrow statistics from parquet #10606

alamb opened this issue May 21, 2024 · 1 comment · Fixed by #10610
Labels
enhancement New feature or request

Comments

@alamb
Copy link
Contributor

alamb commented May 21, 2024

Is your feature request related to a problem or challenge?

Part of #10453

Part of #10453 is to "efficiently" extract statistics from parquet files. The current code is likely quite bad, but we have no benchmarks that actually show that or allow for us to get better

Describe the solution you'd like

I would like to create a benchmark, run like cargo bench ... that does:

  1. Creates a parquet file that has 100 row groups once
  2. Read the parquet metadata out
  3. in the loop extracts the statistics from the metadata into Arrow statistics (using the API introduced in feat: API for collecting statistics/index for metadata of a parquet file + tests #10537) -- not it shouldn't including reading the metadata from the parquet file

I suggest four benchmarks with different types:

  1. UInt64
  2. f64
  3. String
  4. Dictionary(Int32, String)

Describe alternatives you've considered

No response

Additional context

No response

@Lordworms
Copy link
Contributor

Take this one

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request
Projects
None yet
Development

Successfully merging a pull request may close this issue.

2 participants