This repository contains a set of benchmarks of different implementations of Parquet (storage format) <-> Arrow (in-memory format).

Overview

Parquet benchmarks

This repository contains a set of benchmarks of different implementations of Parquet (storage format) <-> Arrow (in-memory format).

The results on Azure's Standard D4s v3 (4 vcpus, 16 GiB memory) are available here.

Read uncompressed

read uncompressed i64

read uncompressed bool

read uncompressed utf8

(Note: neither pyarrow nor arrow validate utf8, which can result in undefined behavior.)

read uncompressed dict utf8

(Note: neither pyarrow nor arrow validate utf8, which can result in undefined behavior.)

Read compressed (snappy)

read compressed i64

read compressed bool

read compressed utf8

(Note: neither pyarrow nor arrow validate utf8, which can result in undefined behavior.)

Write uncompressed

write uncompressed i64

write uncompressed bool

write uncompressed utf8

Write compressed (snappy)

write compressed i64

write compressed bool

write compressed utf8

(Note: neither pyarrow nor arrow validate utf8, which can result in undefined behavior.)

Run benchmarks

To reproduce, use

python3 -m venv venv
venv/bin/pip install -U pip
venv/bin/pip install pyarrow

# create files
venv/bin/python write_parquet.py

# run benchmarks
venv/bin/python run.py

# print results to stdout as csv
venv/bin/python summarize.py

Details

The benchmark reads a single column from a file pre-loaded into memory, decompresses and deserializes the column to an arrow array.

The benchmark includes different configurations:

  • dictionary-encoded vs plain encoding
  • single page vs multiple pages
  • compressed vs uncompressed
  • different types:
    • i64
    • bool
    • utf8
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