Pre-release

This release is a pre-release and may not be stable for production use.

Delta Lake

Delta Lake is an open source storage layer that brings reliability to data lakes. Delta Lake provides ACID transactions, scalable metadata handling, and unifies streaming and batch data processing. Delta Lake runs on top of your existing data lake and is fully compatible with Apache Spark APIs.

This PyPi package contains the Python APIs for using Delta Lake with Apache Spark.

Installation and usage

  1. Install using pip install delta-spark
  2. To use the Delta Lake with Apache Spark, you have to set additional configurations when creating the SparkSession. See the online project web page for details.

Documentation

This README file only contains basic information related to pip installed Delta Lake. You can find the full documentation on the project web page

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Stable release available (4.3.1)

4 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for dennyglee from gravatar.com dennyglee Avatar for seewishnew from gravatar.com seewishnew Avatar for tathagata.das1565 from gravatar.com tathagata.das1565
+1 more Avatar for zheng.hu from gravatar.com zheng.hu

Credits

Author: The Delta Lake Project Authors

License

Apache Software License (Apache-2.0)

Requires

Python >=3.10

Tags

delta.io

Classifiers

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

delta_spark-4.4.0rc1.dev1.tar.gz (46.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

delta_spark-4.4.0rc1.dev1-py3-none-any.whl (55.1 kB view details)

Uploaded Python 3

File details

Details for the file delta_spark-4.4.0rc1.dev1.tar.gz.

File metadata

  • Download URL: delta_spark-4.4.0rc1.dev1.tar.gz
  • Upload date:
  • Size: 46.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for delta_spark-4.4.0rc1.dev1.tar.gz
Algorithm Hash digest
SHA256 03a4657764aea2fb50166c4d1b1bdba0c6d856f85346ea94f31a7f5076f273db
MD5 f5787cc2e1b52f70a0faf9afa900ff4b
BLAKE2b-256 f7f54d40ed8247bf4dec6c63867dcfded1bcdd0c83fb32d6fd49d34fe8b0a73e

See more details on using hashes here.

File details

Details for the file delta_spark-4.4.0rc1.dev1-py3-none-any.whl.

File metadata

File hashes

Hashes for delta_spark-4.4.0rc1.dev1-py3-none-any.whl
Algorithm Hash digest
SHA256 b451dcdb6f193fad14736c26aba91e2c1fbb6f81e7f2563e660ea4014a86e51e
MD5 40566893696e61b69cb06e19a0400742
BLAKE2b-256 58facdfeab96c80c6ef5ada7c032eec5e1ec73377cd65163f9a39e1afeca545c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page