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=============
Spark Session
=============
.. currentmodule:: pyspark.sql

The entry point to programming Spark with the Dataset and DataFrame API.
To create a Spark session, you should use ``SparkSession.builder`` attribute.
See also :class:`SparkSession`.

.. autosummary::
    :toctree: api/

    SparkSession.active
    SparkSession.builder.appName
    SparkSession.builder.config
    SparkSession.builder.enableHiveSupport
    SparkSession.builder.getOrCreate
    SparkSession.builder.master
    SparkSession.builder.remote
    SparkSession.catalog
    SparkSession.conf
    SparkSession.createDataFrame
    SparkSession.getActiveSession
    SparkSession.newSession
    SparkSession.range
    SparkSession.read
    SparkSession.readStream
    SparkSession.sparkContext
    SparkSession.sql
    SparkSession.stop
    SparkSession.streams
    SparkSession.table
    SparkSession.udf
    SparkSession.udtf
    SparkSession.version


Spark Connect Only
------------------

.. autosummary::
    :toctree: api/

    SparkSession.builder.create
    SparkSession.addArtifact
    SparkSession.addArtifacts
    SparkSession.copyFromLocalToFs
    SparkSession.client
    SparkSession.interruptAll
    SparkSession.interruptTag
    SparkSession.interruptOperation
    SparkSession.addTag
    SparkSession.removeTag
    SparkSession.getTags
    SparkSession.clearTags