pyspark.sql.DataFrameReader.parquet

DataFrameReader.parquet(*paths, **options)[source]

Loads Parquet files, returning the result as a DataFrame.

Parameters

  • mergeSchema – sets whether we should merge schemas collected from all Parquet part-files. This will override spark.sql.parquet.mergeSchema. The default value is specified in spark.sql.parquet.mergeSchema.

  • pathGlobFilter – an optional glob pattern to only include files with paths matching the pattern. The syntax follows org.apache.hadoop.fs.GlobFilter. It does not change the behavior of `partition discovery`_.

  • recursiveFileLookup – recursively scan a directory for files. Using this option disables `partition discovery`_.

>>> df = spark.read.parquet('python/test_support/sql/parquet_partitioned')
>>> df.dtypes
[('name', 'string'), ('year', 'int'), ('month', 'int'), ('day', 'int')]

New in version 1.4.

pyspark.sql.DataFrameReader.orc pyspark.sql.DataFrameReader.schema