Skip to main content

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

Metadata

Release files for delta-spark 4.4.1

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

Source distribution (sdist)

Source distribution for delta-spark 4.4.1
File Size Uploaded
delta_spark-4.4.1.tar.gz 46.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for delta-spark 4.4.1
File Interpreter ABI Platform
delta_spark-4.4.1-py3-none-any.whl Python 3 none any Details

Total release size: 101.8 kB

Release files / delta_spark-4.4.1.tar.gz

Download URL delta_spark-4.4.1.tar.gz
Size 46.8 kB
Tags Source
SHA-256 checksum
How to use checksums
5f1abe0529a879c68e21fde16d2c40efabeb7c97ac423d6ae1222d4b73b95872
BLAKE2b-256 checksum
How to use checksums
a21eb5195a919c652d6d13a6ce48fcdb8191e999d1e64fbbe59ab8fe6202c8a8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.12.3

Release files / delta_spark-4.4.1-py3-none-any.whl

Download URL delta_spark-4.4.1-py3-none-any.whl
Size 55.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
224814c76071236dd98c23e8d01da9f43bec21af4129cae92822ca25e5becec7
BLAKE2b-256 checksum
How to use checksums
f3e93c92a1b3e8cde4d038bd396010e16cd27ec01e97c3debdbe6486e34d743f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.12.3
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