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ORC Format I/O

pandas.read_orc DataFrame.to_orc

Apache ORC (Optimized Row Columnar) is a self-describing, type-aware columnar file format designed for large-scale analytical workloads. tsb supports reading and writing ORC files with NONE compression using RLE v1 integer encoding, direct float/double, and direct string encoding.

1 — Write & read a DataFrame

Create a DataFrame, serialize it to ORC bytes, then parse it back:

2 — Nullable columns

ORC natively supports null values via PRESENT streams:

3 — Column selection

Use the columns option to read only a subset of columns:

4 — Large dataset benchmark

Serialize and parse a 10 000-row DataFrame to measure throughput: