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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

Release files for delta-spark 4.3.0

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 4.3.0
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delta_spark-4.3.0.tar.gz 45.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for delta-spark 4.3.0
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delta_spark-4.3.0-py3-none-any.whl Python 3 none any Details

Total release size: 99.8 kB

Release files / delta_spark-4.3.0.tar.gz

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Size 45.9 kB
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Release files / delta_spark-4.3.0-py3-none-any.whl

Download URL delta_spark-4.3.0-py3-none-any.whl
Size 53.9 kB
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Uploaded via twine/6.2.0 CPython/3.12.3
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