Can I Use: Parquet

⚠️ AI-generated — information may be inaccurate

Encodings

Column encoding schemes and the physical types they support

Each encoding is tested with each physical data type. Select an encoding to see type support.

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Data Type
PyArrow
v23.0.1
fastparquet
v2025.12.0
Polars
v1.38.1
DuckDB
v1.4.4
parquet-rs
v55.2.0
parquet-go
v0.24.0
arrow-go
v18.3.0
parquet-java
vparquet-mr version 1.17.0 (build fac0c746532e133beb928a7f6a7e57b510b477a1)
parquet-dotnet
v5.0.0.0
ParquetSharp
v21.0.0.0
hyparquet
v1.0.0
Apache Spark
v4.1.1
Trino
v476
INT32
✅15.0.0+📋 logs
✅2024.5.0+📋 logs
W:❌R:✅0.15.2+📋 logs
W:✅1.4.4+R:✅0.0.0+📋 logs
✅55.2.0+📋 logs
✅0.17.0+📋 logs
✅18.3.0+📋 logs
W:✅1.14.0+R:✅1.14.1+📋 logs
✅4.16.3+📋 logs
✅12.0.1+📋 logs
W:❌R:✅1.0.0+📋 logs
✅3.4.0+⚠ no proof
✅446+⚠ no proof
INT64
✅15.0.0+📋 logs
✅2024.5.0+📋 logs
W:❌R:✅0.15.2+📋 logs
W:✅1.4.4+R:✅0.0.0+📋 logs
✅55.2.0+📋 logs
✅0.17.0+📋 logs
✅18.3.0+📋 logs
W:✅1.14.0+R:✅1.14.1+📋 logs
✅4.16.3+📋 logs
✅12.0.1+📋 logs
W:❌R:✅1.0.0+📋 logs
✅3.4.0+⚠ no proof
✅446+⚠ no proof
FLOAT
✅15.0.0+📋 logs
✅2024.5.0+📋 logs
✅0.15.2+📋 logs
W:✅1.4.4+R:✅0.0.0+📋 logs
✅55.2.0+📋 logs
✅0.17.0+📋 logs
✅18.3.0+📋 logs
W:✅1.14.0+R:✅1.14.1+📋 logs
✅4.16.3+📋 logs
✅12.0.1+📋 logs
W:❌R:✅1.0.0+📋 logs
✅3.4.0+⚠ no proof
✅446+⚠ no proof
DOUBLE
✅15.0.0+📋 logs
✅2024.5.0+📋 logs
✅0.15.2+📋 logs
W:✅1.4.4+R:✅0.0.0+📋 logs
✅55.2.0+📋 logs
✅0.17.0+📋 logs
✅18.3.0+📋 logs
W:✅1.14.0+R:✅1.14.1+📋 logs
✅4.16.3+📋 logs
✅12.0.1+📋 logs
W:❌R:✅1.0.0+📋 logs
✅3.4.0+⚠ no proof
✅446+⚠ no proof
BOOLEAN
✅15.0.0+📋 logs
✅2024.5.0+📋 logs
✅0.15.2+📋 logs
✅0.0.0+📋 logs
✅55.2.0+📋 logs
✅0.17.0+📋 logs
✅18.3.0+📋 logs
W:✅1.14.0+R:✅1.14.1+📋 logs
✅4.16.3+📋 logs
✅12.0.1+📋 logs
W:❌R:✅1.0.0+📋 logs
✅3.4.0+⚠ no proof
✅446+⚠ no proof
BYTE_ARRAY
✅15.0.0+📋 logs
✅2024.5.0+📋 logs
W:❌R:✅0.15.2+📋 logs
W:✅1.4.4+R:✅0.0.0+📋 logs
✅55.2.0+📋 logs
✅0.17.0+📋 logs
✅18.3.0+📋 logs
W:✅1.14.0+R:✅1.14.1+📋 logs
✅4.16.3+📋 logs
✅12.0.1+📋 logs
W:❌R:✅1.0.0+📋 logs
✅3.4.0+⚠ no proof
✅446+⚠ no proof