pyspark.sql.streaming.DataStreamReader

class pyspark.sql.streaming.DataStreamReader(spark: SparkSession)

Interface used to load a streaming DataFrame from external storage systems (e.g. file systems, key-value stores, etc). Use SparkSession.readStream to access this.

Notes

This API is evolving.

Methods

csv(path[, schema, sep, encoding, quote, …])	Loads a CSV file stream and returns the result as a DataFrame.
format(source)	Specifies the input data source format.
json(path[, schema, primitivesAsString, …])	Loads a JSON file stream and returns the results as a DataFrame.
load([path, format, schema])	Loads a data stream from a data source and returns it as a DataFrame.
option(key, value)	Adds an input option for the underlying data source.
options(**options)	Adds input options for the underlying data source.
orc(path[, mergeSchema, pathGlobFilter, …])	Loads a ORC file stream, returning the result as a DataFrame.
parquet(path[, mergeSchema, pathGlobFilter, …])	Loads a Parquet file stream, returning the result as a DataFrame.
schema(schema)	Specifies the input schema.
table(tableName)	Define a Streaming DataFrame on a Table.
text(path[, wholetext, lineSep, …])	Loads a text file stream and returns a DataFrame whose schema starts with a string column named “value”, and followed by partitioned columns if there are any.

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Core Classes

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pyspark.sql.streaming.DataStreamWriter