/
_csv.pyx
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/
_csv.pyx
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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
# cython: profile=False
# distutils: language = c++
# cython: embedsignature = True
# cython: language_level = 3
from __future__ import absolute_import
from pyarrow.includes.common cimport *
from pyarrow.includes.libarrow cimport *
from pyarrow.lib cimport (check_status, Field, MemoryPool, ensure_type,
maybe_unbox_memory_pool, get_input_stream,
pyarrow_wrap_table, pyarrow_wrap_data_type,
pyarrow_unwrap_data_type)
from pyarrow.compat import frombytes, tobytes, Mapping
cdef unsigned char _single_char(s) except 0:
val = ord(s)
if val == 0 or val > 127:
raise ValueError("Expecting an ASCII character")
return <unsigned char> val
cdef class ReadOptions:
"""
Options for reading CSV files.
Parameters
----------
use_threads : bool, optional (default True)
Whether to use multiple threads to accelerate reading
block_size : int, optional
How much bytes to process at a time from the input stream.
This will determine multi-threading granularity as well as
the size of individual chunks in the Table.
skip_rows: int, optional (default 0)
The number of rows to skip at the start of the CSV data, not
including the row of column names (if any).
column_names: list, optional
The column names of the target table. If empty, fall back on
`autogenerate_column_names`.
autogenerate_column_names: bool, optional (default False)
Whether to autogenerate column names if `column_names` is empty.
If true, column names will be of the form "f0", "f1"...
If false, column names will be read from the first CSV row
after `skip_rows`.
"""
cdef:
CCSVReadOptions options
# Avoid mistakingly creating attributes
__slots__ = ()
def __init__(self, use_threads=None, block_size=None, skip_rows=None,
column_names=None, autogenerate_column_names=None):
self.options = CCSVReadOptions.Defaults()
if use_threads is not None:
self.use_threads = use_threads
if block_size is not None:
self.block_size = block_size
if skip_rows is not None:
self.skip_rows = skip_rows
if column_names is not None:
self.column_names = column_names
if autogenerate_column_names is not None:
self.autogenerate_column_names= autogenerate_column_names
@property
def use_threads(self):
"""
Whether to use multiple threads to accelerate reading.
"""
return self.options.use_threads
@use_threads.setter
def use_threads(self, value):
self.options.use_threads = value
@property
def block_size(self):
"""
How much bytes to process at a time from the input stream.
This will determine multi-threading granularity as well as
the size of individual chunks in the Table.
"""
return self.options.block_size
@block_size.setter
def block_size(self, value):
self.options.block_size = value
@property
def skip_rows(self):
"""
The number of rows to skip at the start of the CSV data, not
including the row of column names (if any).
"""
return self.options.skip_rows
@skip_rows.setter
def skip_rows(self, value):
self.options.skip_rows = value
@property
def column_names(self):
"""
The column names of the target table. If empty, fall back on
`autogenerate_column_names`.
"""
return [frombytes(s) for s in self.options.column_names]
@column_names.setter
def column_names(self, value):
self.options.column_names.clear()
for item in value:
self.options.column_names.push_back(tobytes(item))
@property
def autogenerate_column_names(self):
"""
Whether to autogenerate column names if `column_names` is empty.
If true, column names will be of the form "f0", "f1"...
If false, column names will be read from the first CSV row
after `skip_rows`.
"""
return self.options.autogenerate_column_names
@autogenerate_column_names.setter
def autogenerate_column_names(self, value):
self.options.autogenerate_column_names = value
cdef class ParseOptions:
"""
Options for parsing CSV files.
Parameters
----------
delimiter: 1-character string, optional (default ',')
The character delimiting individual cells in the CSV data.
quote_char: 1-character string or False, optional (default '"')
The character used optionally for quoting CSV values
(False if quoting is not allowed).
double_quote: bool, optional (default True)
Whether two quotes in a quoted CSV value denote a single quote
in the data.
escape_char: 1-character string or False, optional (default False)
The character used optionally for escaping special characters
(False if escaping is not allowed).
newlines_in_values: bool, optional (default False)
Whether newline characters are allowed in CSV values.
Setting this to True reduces the performance of multi-threaded
CSV reading.
ignore_empty_lines: bool, optional (default True)
Whether empty lines are ignored in CSV input.
If False, an empty line is interpreted as containing a single empty
value (assuming a one-column CSV file).
"""
cdef:
CCSVParseOptions options
__slots__ = ()
def __init__(self, delimiter=None, quote_char=None, double_quote=None,
escape_char=None, newlines_in_values=None,
ignore_empty_lines=None):
self.options = CCSVParseOptions.Defaults()
if delimiter is not None:
self.delimiter = delimiter
if quote_char is not None:
self.quote_char = quote_char
if double_quote is not None:
self.double_quote = double_quote
if escape_char is not None:
self.escape_char = escape_char
if newlines_in_values is not None:
self.newlines_in_values = newlines_in_values
if ignore_empty_lines is not None:
self.ignore_empty_lines = ignore_empty_lines
@property
def delimiter(self):
"""
The character delimiting individual cells in the CSV data.
"""
return chr(self.options.delimiter)
@delimiter.setter
def delimiter(self, value):
self.options.delimiter = _single_char(value)
@property
def quote_char(self):
"""
The character used optionally for quoting CSV values
(False if quoting is not allowed).
"""
if self.options.quoting:
return chr(self.options.quote_char)
else:
return False
@quote_char.setter
def quote_char(self, value):
if value is False:
self.options.quoting = False
else:
self.options.quote_char = _single_char(value)
self.options.quoting = True
@property
def double_quote(self):
"""
Whether two quotes in a quoted CSV value denote a single quote
in the data.
"""
return self.options.double_quote
@double_quote.setter
def double_quote(self, value):
self.options.double_quote = value
@property
def escape_char(self):
"""
The character used optionally for escaping special characters
(False if escaping is not allowed).
"""
if self.options.escaping:
return chr(self.options.escape_char)
else:
return False
@escape_char.setter
def escape_char(self, value):
if value is False:
self.options.escaping = False
else:
self.options.escape_char = _single_char(value)
self.options.escaping = True
@property
def newlines_in_values(self):
"""
Whether newline characters are allowed in CSV values.
Setting this to True reduces the performance of multi-threaded
CSV reading.
"""
return self.options.newlines_in_values
@newlines_in_values.setter
def newlines_in_values(self, value):
self.options.newlines_in_values = value
@property
def ignore_empty_lines(self):
"""
Whether empty lines are ignored in CSV input.
If False, an empty line is interpreted as containing a single empty
value (assuming a one-column CSV file).
"""
return self.options.ignore_empty_lines
@ignore_empty_lines.setter
def ignore_empty_lines(self, value):
self.options.ignore_empty_lines = value
cdef class ConvertOptions:
"""
Options for converting CSV data.
Parameters
----------
check_utf8 : bool, optional (default True)
Whether to check UTF8 validity of string columns.
column_types: dict, optional
Map column names to column types
(disabling type inference on those columns).
null_values: list, optional
A sequence of strings that denote nulls in the data
(defaults are appropriate in most cases).
true_values: list, optional
A sequence of strings that denote true booleans in the data
(defaults are appropriate in most cases).
false_values: list, optional
A sequence of strings that denote false booleans in the data
(defaults are appropriate in most cases).
strings_can_be_null: bool, optional (default False)
Whether string / binary columns can have null values.
If true, then strings in null_values are considered null for
string columns.
If false, then all strings are valid string values.
include_columns: list, optional
The names of columns to include in the Table.
If empty, the Table will include all columns from the CSV file.
If not empty, only these columns will be included, in this order.
include_missing_columns: bool, optional (default False)
If false, columns in `include_columns` but not in the CSV file will
error out.
If true, columns in `include_columns` but not in the CSV file will
produce a column of nulls (whose type is selected using
`column_types`, or null by default).
This option is ignored if `include_columns` is empty.
"""
cdef:
CCSVConvertOptions options
# Avoid mistakingly creating attributes
__slots__ = ()
def __init__(self, check_utf8=None, column_types=None, null_values=None,
true_values=None, false_values=None,
strings_can_be_null=None, include_columns=None,
include_missing_columns=None):
self.options = CCSVConvertOptions.Defaults()
if check_utf8 is not None:
self.check_utf8 = check_utf8
if column_types is not None:
self.column_types = column_types
if null_values is not None:
self.null_values = null_values
if true_values is not None:
self.true_values = true_values
if false_values is not None:
self.false_values = false_values
if strings_can_be_null is not None:
self.strings_can_be_null = strings_can_be_null
if include_columns is not None:
self.include_columns = include_columns
if include_missing_columns is not None:
self.include_missing_columns = include_missing_columns
@property
def check_utf8(self):
"""
Whether to check UTF8 validity of string columns.
"""
return self.options.check_utf8
@check_utf8.setter
def check_utf8(self, value):
self.options.check_utf8 = value
@property
def strings_can_be_null(self):
"""
Whether string / binary columns can have null values.
"""
return self.options.strings_can_be_null
@strings_can_be_null.setter
def strings_can_be_null(self, value):
self.options.strings_can_be_null = value
@property
def column_types(self):
"""
Map column names to column types
(disabling type inference on those columns).
"""
d = {frombytes(item.first): pyarrow_wrap_data_type(item.second)
for item in self.options.column_types}
return d
@column_types.setter
def column_types(self, value):
cdef:
shared_ptr[CDataType] typ
if isinstance(value, Mapping):
value = value.items()
self.options.column_types.clear()
for item in value:
if isinstance(item, Field):
k = item.name
v = item.type
else:
k, v = item
typ = pyarrow_unwrap_data_type(ensure_type(v))
assert typ != NULL
self.options.column_types[tobytes(k)] = typ
@property
def null_values(self):
"""
A sequence of strings that denote nulls in the data.
"""
return [frombytes(x) for x in self.options.null_values]
@null_values.setter
def null_values(self, value):
self.options.null_values = [tobytes(x) for x in value]
@property
def true_values(self):
"""
A sequence of strings that denote true booleans in the data.
"""
return [frombytes(x) for x in self.options.true_values]
@true_values.setter
def true_values(self, value):
self.options.true_values = [tobytes(x) for x in value]
@property
def false_values(self):
"""
A sequence of strings that denote false booleans in the data.
"""
return [frombytes(x) for x in self.options.false_values]
@false_values.setter
def false_values(self, value):
self.options.false_values = [tobytes(x) for x in value]
@property
def include_columns(self):
"""
The names of columns to include in the Table.
If empty, the Table will include all columns from the CSV file.
If not empty, only these columns will be included, in this order.
"""
return [frombytes(s) for s in self.options.include_columns]
@include_columns.setter
def include_columns(self, value):
self.options.include_columns.clear()
for item in value:
self.options.include_columns.push_back(tobytes(item))
@property
def include_missing_columns(self):
"""
If false, columns in `include_columns` but not in the CSV file will
error out.
If true, columns in `include_columns` but not in the CSV file will
produce a null column (whose type is selected using `column_types`,
or null by default).
This option is ignored if `include_columns` is empty.
"""
return self.options.include_missing_columns
@include_missing_columns.setter
def include_missing_columns(self, value):
self.options.include_missing_columns = value
cdef _get_reader(input_file, shared_ptr[CInputStream]* out):
use_memory_map = False
get_input_stream(input_file, use_memory_map, out)
cdef _get_read_options(ReadOptions read_options, CCSVReadOptions* out):
if read_options is None:
out[0] = CCSVReadOptions.Defaults()
else:
out[0] = read_options.options
cdef _get_parse_options(ParseOptions parse_options, CCSVParseOptions* out):
if parse_options is None:
out[0] = CCSVParseOptions.Defaults()
else:
out[0] = parse_options.options
cdef _get_convert_options(ConvertOptions convert_options,
CCSVConvertOptions* out):
if convert_options is None:
out[0] = CCSVConvertOptions.Defaults()
else:
out[0] = convert_options.options
def read_csv(input_file, read_options=None, parse_options=None,
convert_options=None, MemoryPool memory_pool=None):
"""
Read a Table from a stream of CSV data.
Parameters
----------
input_file: string, path or file-like object
The location of CSV data. If a string or path, and if it ends
with a recognized compressed file extension (e.g. ".gz" or ".bz2"),
the data is automatically decompressed when reading.
read_options: pyarrow.csv.ReadOptions, optional
Options for the CSV reader (see pyarrow.csv.ReadOptions constructor
for defaults)
parse_options: pyarrow.csv.ParseOptions, optional
Options for the CSV parser
(see pyarrow.csv.ParseOptions constructor for defaults)
convert_options: pyarrow.csv.ConvertOptions, optional
Options for converting CSV data
(see pyarrow.csv.ConvertOptions constructor for defaults)
memory_pool: MemoryPool, optional
Pool to allocate Table memory from
Returns
-------
:class:`pyarrow.Table`
Contents of the CSV file as a in-memory table.
"""
cdef:
shared_ptr[CInputStream] stream
CCSVReadOptions c_read_options
CCSVParseOptions c_parse_options
CCSVConvertOptions c_convert_options
shared_ptr[CCSVReader] reader
shared_ptr[CTable] table
_get_reader(input_file, &stream)
_get_read_options(read_options, &c_read_options)
_get_parse_options(parse_options, &c_parse_options)
_get_convert_options(convert_options, &c_convert_options)
check_status(CCSVReader.Make(maybe_unbox_memory_pool(memory_pool),
stream, c_read_options, c_parse_options,
c_convert_options, &reader))
with nogil:
check_status(reader.get().Read(&table))
return pyarrow_wrap_table(table)