diff options
Diffstat (limited to 'python/pyspark/sql/readwriter.py')
| -rw-r--r-- | python/pyspark/sql/readwriter.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/python/pyspark/sql/readwriter.py b/python/pyspark/sql/readwriter.py index f7c354f513..4020bb3fa4 100644 --- a/python/pyspark/sql/readwriter.py +++ b/python/pyspark/sql/readwriter.py @@ -96,7 +96,7 @@ class DataFrameReader(OptionUtils): By specifying the schema here, the underlying data source can skip the schema inference step, and thus speed up data loading. - :param schema: a StructType object + :param schema: a :class:`pyspark.sql.types.StructType` object """ if not isinstance(schema, StructType): raise TypeError("schema should be StructType") @@ -125,7 +125,7 @@ class DataFrameReader(OptionUtils): :param path: optional string or a list of string for file-system backed data sources. :param format: optional string for format of the data source. Default to 'parquet'. - :param schema: optional :class:`StructType` for the input schema. + :param schema: optional :class:`pyspark.sql.types.StructType` for the input schema. :param options: all other string options >>> df = spark.read.load('python/test_support/sql/parquet_partitioned', opt1=True, @@ -166,7 +166,7 @@ class DataFrameReader(OptionUtils): :param path: string represents path to the JSON dataset, or RDD of Strings storing JSON objects. - :param schema: an optional :class:`StructType` for the input schema. + :param schema: an optional :class:`pyspark.sql.types.StructType` for the input schema. :param primitivesAsString: infers all primitive values as a string type. If None is set, it uses the default value, ``false``. :param prefersDecimal: infers all floating-point values as a decimal type. If the values @@ -294,7 +294,7 @@ class DataFrameReader(OptionUtils): ``inferSchema`` option or specify the schema explicitly using ``schema``. :param path: string, or list of strings, for input path(s). - :param schema: an optional :class:`StructType` for the input schema. + :param schema: an optional :class:`pyspark.sql.types.StructType` for the input schema. :param sep: sets the single character as a separator for each field and value. If None is set, it uses the default value, ``,``. :param encoding: decodes the CSV files by the given encoding type. If None is set, |