pyspark-stubs 2.3.0.post3

A collection of the Apache Spark stub files

A collection of the Apache Spark stub files. These files were generated by stubgen and manually edited to include accurate type hints.

Tests and configuration files have been originally contributed to the Typeshed project. Please refer to its contributors list and license for details.

Motivation

• Static error detection (see SPARK-20631)

  

• Improved completion for chained method calls.

Usage

Please note that the guidelines for distribution of type information is still work in progress (PEP 561 - Distributing and Packaging Type Information). Currently installation script overlays existing Spark installations (pyi stub files are copied next to their py counterparts in the PySpark installation directory). If this approach is not acceptable you can stub files to the search path manually.

According to PEP 484:

Third-party stub packages can use any location for stub storage. Type checkers should search for them using PYTHONPATH.

Moreover:

Third-party stub packages can use any location for stub storage. Type checkers should search for them using PYTHONPATH. A default fallback directory that is always checked is shared/typehints/python3.5/ (or 3.6, etc.)

You’ll also need a type checker for example:

• Mypy

• Pytype

Installation

Please check usage before proceeding.

The package is available on PYPI:

pip install pyspark-stubs

In general package is useful only in development, and the shouldn’t be installed in a production environment.

Version Compatibility

Package versions follow PySpark versions with exception to maintenance releases - i.e. pyspark-stubs==2.3.0 should be compatible with pyspark>=2.3.0,<2.4.0. Maintenance releases (post1, post2, …, postN) are reserved for internal annotations updates.

API Coverage

Module	Dynamically typed	Statically typed	Notes
pyspark	✔	✘
pyspark.accumulators	✔	✘
pyspark.broadcast	✔	✔	Mixed
pyspark.cloudpickle	✘	✘	Internal
pyspark.conf	✘	✔
pyspark.context	✘	✔
pyspark.daemon	✘	✘	Internal
pyspark.files	✘	✔
pyspark.find_spark_home	✘	✘	Internal
pyspark.heapq3	✘	✘	Internal
pyspark.java_gateway	✘	✘	Internal
pyspark.join	✔	✘
pyspark.ml	✔	✘
pyspark.ml.base	✘	✔
pyspark.ml.classification	✘	✔
pyspark.ml.clustering	✘	✔
pyspark.ml.common	✔	✘
pyspark.ml.evaluation	✘	✔
pyspark.ml.feature	✘	✔
pyspark.ml.linalg	✘	✔
pyspark.ml.param	✘	✔
pyspark.ml.param._shared_params_code_gen	✘	✘	Internal
pyspark.ml.param.shared	✘	✔
pyspark.ml.pipeline	✘	✔
pyspark.ml.recommendation	✘	✔
pyspark.ml.regression	✘	✔
pyspark.ml.tests	✘	✘	Tests
pyspark.ml.tuning	✘	✔
pyspark.ml.util	✘	✔
pyspark.ml.wrapper	✔	✘
pyspark.mllib	✔	✘
pyspark.mllib.classification	✘	✔
pyspark.mllib.clustering	✘	✔
pyspark.mllib.common	✔	✘
pyspark.mllib.evaluation	✘	✔
pyspark.mllib.feature	✘	✔
pyspark.mllib.fpm	✘	✔
pyspark.mllib.linalg	✘	✔
pyspark.mllib.linalg.distributed	✘	✔
pyspark.mllib.random	✘	✔
pyspark.mllib.recommendation	✘	✔
pyspark.mllib.regression	✘	✔
pyspark.mllib.stat	✔	✘
pyspark.mllib.stat.KernelDensity	✘	✔
pyspark.mllib.stat._statistics	✔	✘
pyspark.mllib.stat.distribution	✔	✘
pyspark.mllib.stat.test	✔	✘
pyspark.mllib.tests	✘	✘	Tests
pyspark.mllib.tree	✘	✔
pyspark.mllib.util	✔	✘
pyspark.profiler	✔	✘
pyspark.rdd	✘	✔
pyspark.rddsampler	✘	✔
pyspark.resultiterable	✘	✔
pyspark.serializers	✔	✘
pyspark.shell	✘	✘	Internal
pyspark.shuffle	✘	✘	Internal
pyspark.sql	✔	✘
pyspark.sql.catalog	✘	✔
pyspark.sql.column	✘	✔
pyspark.sql.conf	✘	✔
pyspark.sql.context	✘	✔
pyspark.sql.dataframe	✘	✔
pyspark.sql.functions	✘	✔
pyspark.sql.group	✘	✔
pyspark.sql.readwriter	✘	✔
pyspark.sql.session	✘	✔
pyspark.sql.streaming	✘	✔
pyspark.sql.tests	✘	✘	Tests
pyspark.sql.types	✘	✔
pyspark.sql.utils	✔	✘
pyspark.sql.window	✘	✔
pyspark.statcounter	✘	✔
pyspark.status	✔	✘
pyspark.storagelevel	✘	✔
pyspark.streaming	✔	✘
pyspark.streaming.context	✘	✔
pyspark.streaming.dstream	✘	✔
pyspark.streaming.flume	✔	✘
pyspark.streaming.kafka	✘	✔
pyspark.streaming.kinesis	✔	✘
pyspark.streaming.listener	✔	✘
pyspark.streaming.tests	✘	✘	Tests
pyspark.streaming.util	✔	✘
pyspark.tests	✘	✘	Tests
pyspark.traceback_utils	✘	✘	Internal
pyspark.version	✘	✔
pyspark.worker	✘	✘	Internal

Disclaimer

Apache Spark, Spark, PySpark, Apache, and the Spark logo are trademarks of The Apache Software Foundation. This project is not owned, endorsed, or sponsored by The Apache Software Foundation.