start (DataStreamWriter)

Streams the contents of the DataFrame to a data source and returns a StreamingQuery object.

Syntax

start(path=None, format=None, outputMode=None, partitionBy=None, queryName=None, **options)

Parameters

Parameter	Type	Description
path	str, optional	Path in a Hadoop-supported file system.
format	str, optional	The format used to save.
outputMode	str, optional	How data is written to the sink: append, complete, or update.
partitionBy	str or list, optional	Names of partitioning columns.
queryName	str, optional	Unique name for the query.
**options	-	All other string options. Provide checkpointLocation for most streams; not required for a memory stream.

Returns

StreamingQuery

Examples

Python

df = spark.readStream.format("rate").load()

Basic example:

Python

q = df.writeStream.format('memory').queryName('this_query').start()
q.isActive
# True
q.name
# 'this_query'
q.stop()
q.isActive
# False

With a trigger and additional parameters:

Python

q = df.writeStream.trigger(processingTime='5 seconds').start(
    queryName='that_query', outputMode="append", format='memory')
q.name
# 'that_query'
q.isActive
# True
q.stop()