Specifications and Protocols Implementation Status C/GLib C++ C# Go Java JavaScript Julia MATLAB Python R Ruby Rust Development

Installing PyArrow
Memory and IO Interfaces
Data Types and In-Memory Data Model
Compute Functions
Streaming, Serialization, and IPC
Filesystem Interface
Filesystem Interface (legacy)
The Plasma In-Memory Object Store
NumPy Integration
Pandas Integration
Timestamps
Reading CSV files
Feather File Format
Reading JSON files
Reading and Writing the Apache Parquet Format
Tabular Datasets
CUDA Integration
Extending pyarrow
Using pyarrow from C++ and Cython Code
API Reference
Getting Involved
Benchmarks

pyarrow.system_memory_pool¶

pyarrow.system_memory_pool()¶: Return a memory pool based on the C malloc heap.

pyarrow.mimalloc_memory_pool pyarrow.jemalloc_set_decay_ms

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