Skip to main content

Iceberg Python

Iceberg is a python library for programatic access to iceberg table metadata as well as data access. The intention is to provide a functional subset of the java library.

Getting Started

Iceberg python is currently in development, for development and testing purposes the best way to install the library is to perform the following steps:

git clone https://github.com/apache/iceberg.git
cd iceberg/python_legacy
pip install -e .

Testing

Testing is done using tox. The config can be found in tox.ini within the python directory of the iceberg project.

# simply run tox from within the python dir
tox

Get in Touch

Metadata

Release files for acryl-iceberg-legacy 0.0.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for acryl-iceberg-legacy 0.0.4
File Size Uploaded
acryl-iceberg-legacy-0.0.4.tar.gz 83.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for acryl-iceberg-legacy 0.0.4
File Interpreter ABI Platform
acryl_iceberg_legacy-0.0.4-py3-none-any.whl Python 3 none any Details

Total release size: 262.7 kB

Release files / acryl-iceberg-legacy-0.0.4.tar.gz

Download URL acryl-iceberg-legacy-0.0.4.tar.gz
Size 83.4 kB
Tags Source
SHA-256 checksum
How to use checksums
8780491261ed731c06c8a8ffae0a66930288f67eb0e3c1fcba86dce7bf282a20
BLAKE2b-256 checksum
How to use checksums
072e84113de87dd726af8de3ab3578c9429b240098f2de5acb96a59d8e9249e2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.0 CPython/3.9.9

Release files / acryl_iceberg_legacy-0.0.4-py3-none-any.whl

Download URL acryl_iceberg_legacy-0.0.4-py3-none-any.whl
Size 179.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
e013b47dd3405dfe0977719f8ab477908ba87f3253186c99fb34c57b1c77d2c4
BLAKE2b-256 checksum
How to use checksums
74b5767ffe01a2017d337e72387911eda96b814321dea1f7eb5205018834fab6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.0 CPython/3.9.9

Release history Release notifications | RSS feed

This release

0.0.4 This release

2 release files

0.0.3

2 release files

0.0.2

2 release files

0.0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page