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# MySQL Connector/Python - MySQL driver written in Python.
# Copyright (c) 2009, 2016, Oracle and/or its affiliates. All rights reserved.
# MySQL Connector/Python is licensed under the terms of the GPLv2
# <http://www.gnu.org/licenses/old-licenses/gpl-2.0.html>, like most
# MySQL Connectors. There are special exceptions to the terms and
# conditions of the GPLv2 as it is applied to this software, see the
# FOSS License Exception
# <http://www.mysql.com/about/legal/licensing/foss-exception.html>.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
"""Cursor classes
"""
from collections import namedtuple
import re
import weakref
from . import errors
from .abstracts import MySQLCursorAbstract
from .catch23 import PY2
SQL_COMMENT = r"\/\*.*?\*\/"
RE_SQL_COMMENT = re.compile(
r'''({0})|(["'`][^"'`]*?({0})[^"'`]*?["'`])'''.format(SQL_COMMENT),
re.I | re.M | re.S)
RE_SQL_ON_DUPLICATE = re.compile(
r'''\s*ON\s+DUPLICATE\s+KEY(?:[^"'`]*["'`][^"'`]*["'`])*[^"'`]*$''',
re.I | re.M | re.S)
RE_SQL_INSERT_STMT = re.compile(
r"({0}|\s)*INSERT({0}|\s)*INTO.+VALUES.*".format(SQL_COMMENT),
re.I | re.M | re.S)
RE_SQL_INSERT_VALUES = re.compile(r'.*VALUES\s*(\(.*\)).*', re.I | re.M | re.S)
RE_PY_PARAM = re.compile(b'(%s)')
RE_PY_MAPPING_PARAM = re.compile(
br'''
%
\((?P<mapping_key>[^)]+)\)
(?P<conversion_type>[diouxXeEfFgGcrs%])
''',
re.X
)
RE_SQL_SPLIT_STMTS = re.compile(
b''';(?=(?:[^"'`]*["'`][^"'`]*["'`])*[^"'`]*$)''')
RE_SQL_FIND_PARAM = re.compile(
b'''%s(?=(?:[^"'`]*["'`][^"'`]*["'`])*[^"'`]*$)''')
ERR_NO_RESULT_TO_FETCH = "No result set to fetch from"
class _ParamSubstitutor(object):
"""
Substitutes parameters into SQL statement.
"""
def __init__(self, params):
self.params = params
self.index = 0
def __call__(self, matchobj):
index = self.index
self.index += 1
try:
return bytes(self.params[index])
except IndexError:
raise errors.ProgrammingError(
"Not enough parameters for the SQL statement")
@property
def remaining(self):
"""Returns number of parameters remaining to be substituted"""
return len(self.params) - self.index
def _bytestr_format_dict(bytestr, value_dict):
"""
>>> _bytestr_format_dict(b'%(a)s', {b'a': b'foobar'})
b'foobar
>>> _bytestr_format_dict(b'%%(a)s', {b'a': b'foobar'})
b'%%(a)s'
>>> _bytestr_format_dict(b'%%%(a)s', {b'a': b'foobar'})
b'%%foobar'
>>> _bytestr_format_dict(b'%(x)s %(y)s',
... {b'x': b'x=%(y)s', b'y': b'y=%(x)s'})
b'x=%(y)s y=%(x)s'
"""
def replace(matchobj):
value = None
groups = matchobj.groupdict()
if groups["conversion_type"] == b"%":
value = b"%"
if groups["conversion_type"] == b"s":
key = groups["mapping_key"].encode("utf-8") \
if PY2 else groups["mapping_key"]
value = value_dict[key]
if value is None:
raise ValueError("Unsupported conversion_type: {0}"
"".format(groups["conversion_type"]))
return value.decode("utf-8") if PY2 else value
return RE_PY_MAPPING_PARAM.sub(replace, bytestr.decode("utf-8")
if PY2 else bytestr)
class CursorBase(MySQLCursorAbstract):
"""
Base for defining MySQLCursor. This class is a skeleton and defines
methods and members as required for the Python Database API
Specification v2.0.
It's better to inherite from MySQLCursor.
"""
_raw = False
def __init__(self):
self._description = None
self._rowcount = -1
self._last_insert_id = None
self.arraysize = 1
super(CursorBase, self).__init__()
def callproc(self, procname, args=()):
"""Calls a stored procedue with the given arguments
The arguments will be set during this session, meaning
they will be called like _<procname>__arg<nr> where
<nr> is an enumeration (+1) of the arguments.
Coding Example:
1) Definining the Stored Routine in MySQL:
CREATE PROCEDURE multiply(IN pFac1 INT, IN pFac2 INT, OUT pProd INT)
BEGIN
SET pProd := pFac1 * pFac2;
END
2) Executing in Python:
args = (5,5,0) # 0 is to hold pprod
cursor.callproc('multiply', args)
print(cursor.fetchone())
Does not return a value, but a result set will be
available when the CALL-statement execute successfully.
Raises exceptions when something is wrong.
"""
pass
def close(self):
"""Close the cursor."""
pass
def execute(self, operation, params=(), multi=False):
"""Executes the given operation
Executes the given operation substituting any markers with
the given parameters.
For example, getting all rows where id is 5:
cursor.execute("SELECT * FROM t1 WHERE id = %s", (5,))
The multi argument should be set to True when executing multiple
statements in one operation. If not set and multiple results are
found, an InterfaceError will be raised.
If warnings where generated, and connection.get_warnings is True, then
self._warnings will be a list containing these warnings.
Returns an iterator when multi is True, otherwise None.
"""
pass
def executemany(self, operation, seqparams):
"""Execute the given operation multiple times
The executemany() method will execute the operation iterating
over the list of parameters in seq_params.
Example: Inserting 3 new employees and their phone number
data = [
('Jane','555-001'),
('Joe', '555-001'),
('John', '555-003')
]
stmt = "INSERT INTO employees (name, phone) VALUES ('%s','%s')"
cursor.executemany(stmt, data)
INSERT statements are optimized by batching the data, that is
using the MySQL multiple rows syntax.
Results are discarded. If they are needed, consider looping over
data using the execute() method.
"""
pass
def fetchone(self):
"""Returns next row of a query result set
Returns a tuple or None.
"""
pass
def fetchmany(self, size=1):
"""Returns the next set of rows of a query result, returning a
list of tuples. When no more rows are available, it returns an
empty list.
The number of rows returned can be specified using the size argument,
which defaults to one
"""
pass
def fetchall(self):
"""Returns all rows of a query result set
Returns a list of tuples.
"""
pass
def nextset(self):
"""Not Implemented."""
pass
def setinputsizes(self, sizes):
"""Not Implemented."""
pass
def setoutputsize(self, size, column=None):
"""Not Implemented."""
pass
def reset(self, free=True):
"""Reset the cursor to default"""
pass
@property
def description(self):
"""Returns description of columns in a result
This property returns a list of tuples describing the columns in
in a result set. A tuple is described as follows::
(column_name,
type,
None,
None,
None,
None,
null_ok,
column_flags) # Addition to PEP-249 specs
Returns a list of tuples.
"""
return self._description
@property
def rowcount(self):
"""Returns the number of rows produced or affected
This property returns the number of rows produced by queries
such as a SELECT, or affected rows when executing DML statements
like INSERT or UPDATE.
Note that for non-buffered cursors it is impossible to know the
number of rows produced before having fetched them all. For those,
the number of rows will be -1 right after execution, and
incremented when fetching rows.
Returns an integer.
"""
return self._rowcount
@property
def lastrowid(self):
"""Returns the value generated for an AUTO_INCREMENT column
Returns the value generated for an AUTO_INCREMENT column by
the previous INSERT or UPDATE statement or None when there is
no such value available.
Returns a long value or None.
"""
return self._last_insert_id
class MySQLCursor(CursorBase):
"""Default cursor for interacting with MySQL
This cursor will execute statements and handle the result. It will
not automatically fetch all rows.
MySQLCursor should be inherited whenever other functionallity is
required. An example would to change the fetch* member functions
to return dictionaries instead of lists of values.
Implements the Python Database API Specification v2.0 (PEP-249)
"""
def __init__(self, connection=None):
CursorBase.__init__(self)
self._connection = None
self._stored_results = []
self._nextrow = (None, None)
self._warnings = None
self._warning_count = 0
self._executed = None
self._executed_list = []
self._binary = False
if connection is not None:
self._set_connection(connection)
def __iter__(self):
"""
Iteration over the result set which calls self.fetchone()
and returns the next row.
"""
return iter(self.fetchone, None)
def _set_connection(self, connection):
"""Set the connection"""
try:
self._connection = weakref.proxy(connection)
self._connection.is_connected()
except (AttributeError, TypeError):
raise errors.InterfaceError(errno=2048)
def _reset_result(self):
"""Reset the cursor to default"""
self._rowcount = -1
self._nextrow = (None, None)
self._stored_results = []
self._warnings = None
self._warning_count = 0
self._description = None
self._executed = None
self._executed_list = []
self.reset()
def _have_unread_result(self):
"""Check whether there is an unread result"""
try:
return self._connection.unread_result
except AttributeError:
return False
def next(self):
"""Used for iterating over the result set."""
return self.__next__()
def __next__(self):
"""
Used for iterating over the result set. Calles self.fetchone()
to get the next row.
"""
try:
row = self.fetchone()
except errors.InterfaceError:
raise StopIteration
if not row:
raise StopIteration
return row
def close(self):
"""Close the cursor
Returns True when successful, otherwise False.
"""
if self._connection is None:
return False
self._connection.handle_unread_result()
self._reset_result()
self._connection = None
return True
def _process_params_dict(self, params):
"""Process query parameters given as dictionary"""
try:
to_mysql = self._connection.converter.to_mysql
escape = self._connection.converter.escape
quote = self._connection.converter.quote
res = {}
for key, value in list(params.items()):
conv = value
conv = to_mysql(conv)
conv = escape(conv)
conv = quote(conv)
if PY2:
res[key] = conv
else:
res[key.encode()] = conv
except Exception as err:
raise errors.ProgrammingError(
"Failed processing pyformat-parameters; %s" % err)
else:
return res
def _process_params(self, params):
"""Process query parameters."""
try:
res = params
to_mysql = self._connection.converter.to_mysql
escape = self._connection.converter.escape
quote = self._connection.converter.quote
res = [to_mysql(i) for i in res]
res = [escape(i) for i in res]
res = [quote(i) for i in res]
except Exception as err:
raise errors.ProgrammingError(
"Failed processing format-parameters; %s" % err)
else:
return tuple(res)
def _handle_noresultset(self, res):
"""Handles result of execute() when there is no result set
"""
try:
self._rowcount = res['affected_rows']
self._last_insert_id = res['insert_id']
self._warning_count = res['warning_count']
except (KeyError, TypeError) as err:
raise errors.ProgrammingError(
"Failed handling non-resultset; {0}".format(err))
self._handle_warnings()
if self._connection.raise_on_warnings is True and self._warnings:
raise errors.get_mysql_exception(
self._warnings[0][1], self._warnings[0][2])
def _handle_resultset(self):
"""Handles result set
This method handles the result set and is called after reading
and storing column information in _handle_result(). For non-buffering
cursors, this method is usually doing nothing.
"""
pass
def _handle_result(self, result):
"""
Handle the result after a command was send. The result can be either
an OK-packet or a dictionary containing column/eof information.
Raises InterfaceError when result is not a dict() or result is
invalid.
"""
if not isinstance(result, dict):
raise errors.InterfaceError('Result was not a dict()')
if 'columns' in result:
# Weak test, must be column/eof information
self._description = result['columns']
self._connection.unread_result = True
self._handle_resultset()
elif 'affected_rows' in result:
# Weak test, must be an OK-packet
self._connection.unread_result = False
self._handle_noresultset(result)
else:
raise errors.InterfaceError('Invalid result')
def _execute_iter(self, query_iter):
"""Generator returns MySQLCursor objects for multiple statements
This method is only used when multiple statements are executed
by the execute() method. It uses zip() to make an iterator from the
given query_iter (result of MySQLConnection.cmd_query_iter()) and
the list of statements that were executed.
"""
executed_list = RE_SQL_SPLIT_STMTS.split(self._executed)
i = 0
while True:
result = next(query_iter)
self._reset_result()
self._handle_result(result)
try:
self._executed = executed_list[i].strip()
i += 1
except IndexError:
self._executed = executed_list[0]
yield self
def execute(self, operation, params=None, multi=False):
"""Executes the given operation
Executes the given operation substituting any markers with
the given parameters.
For example, getting all rows where id is 5:
cursor.execute("SELECT * FROM t1 WHERE id = %s", (5,))
The multi argument should be set to True when executing multiple
statements in one operation. If not set and multiple results are
found, an InterfaceError will be raised.
If warnings where generated, and connection.get_warnings is True, then
self._warnings will be a list containing these warnings.
Returns an iterator when multi is True, otherwise None.
"""
if not operation:
return None
if not self._connection:
raise errors.ProgrammingError("Cursor is not connected")
self._connection.handle_unread_result()
self._reset_result()
stmt = ''
try:
if not isinstance(operation, (bytes, bytearray)):
stmt = operation.encode(self._connection.python_charset)
else:
stmt = operation
except (UnicodeDecodeError, UnicodeEncodeError) as err:
raise errors.ProgrammingError(str(err))
if params is not None:
if isinstance(params, dict):
stmt = _bytestr_format_dict(
stmt, self._process_params_dict(params))
elif isinstance(params, (list, tuple)):
psub = _ParamSubstitutor(self._process_params(params))
stmt = RE_PY_PARAM.sub(psub, stmt)
if psub.remaining != 0:
raise errors.ProgrammingError(
"Not all parameters were used in the SQL statement")
self._executed = stmt
if multi:
self._executed_list = []
return self._execute_iter(self._connection.cmd_query_iter(stmt))
else:
try:
self._handle_result(self._connection.cmd_query(stmt))
except errors.InterfaceError:
if self._connection._have_next_result: # pylint: disable=W0212
raise errors.InterfaceError(
"Use multi=True when executing multiple statements")
raise
return None
def _batch_insert(self, operation, seq_params):
"""Implements multi row insert"""
def remove_comments(match):
"""Remove comments from INSERT statements.
This function is used while removing comments from INSERT
statements. If the matched string is a comment not enclosed
by quotes, it returns an empty string, else the string itself.
"""
if match.group(1):
return ""
else:
return match.group(2)
tmp = re.sub(RE_SQL_ON_DUPLICATE, '',
re.sub(RE_SQL_COMMENT, remove_comments, operation))
matches = re.search(RE_SQL_INSERT_VALUES, tmp)
if not matches:
raise errors.InterfaceError(
"Failed rewriting statement for multi-row INSERT. "
"Check SQL syntax."
)
fmt = matches.group(1).encode(self._connection.charset)
values = []
try:
stmt = operation.encode(self._connection.charset)
for params in seq_params:
tmp = fmt
if isinstance(params, dict):
tmp = _bytestr_format_dict(
tmp, self._process_params_dict(params))
else:
psub = _ParamSubstitutor(self._process_params(params))
tmp = RE_PY_PARAM.sub(psub, tmp)
if psub.remaining != 0:
raise errors.ProgrammingError(
"Not all parameters were used in the SQL statement")
#for p in self._process_params(params):
# tmp = tmp.replace(b'%s',p,1)
values.append(tmp)
if fmt in stmt:
stmt = stmt.replace(fmt, b','.join(values), 1)
self._executed = stmt
return stmt
else:
return None
except (UnicodeDecodeError, UnicodeEncodeError) as err:
raise errors.ProgrammingError(str(err))
except errors.Error:
raise
except Exception as err:
raise errors.InterfaceError(
"Failed executing the operation; %s" % err)
def executemany(self, operation, seq_params):
"""Execute the given operation multiple times
The executemany() method will execute the operation iterating
over the list of parameters in seq_params.
Example: Inserting 3 new employees and their phone number
data = [
('Jane','555-001'),
('Joe', '555-001'),
('John', '555-003')
]
stmt = "INSERT INTO employees (name, phone) VALUES ('%s','%s)"
cursor.executemany(stmt, data)
INSERT statements are optimized by batching the data, that is
using the MySQL multiple rows syntax.
Results are discarded. If they are needed, consider looping over
data using the execute() method.
"""
if not operation or not seq_params:
return None
self._connection.handle_unread_result()
try:
_ = iter(seq_params)
except TypeError:
raise errors.ProgrammingError(
"Parameters for query must be an Iterable.")
# Optimize INSERTs by batching them
if re.match(RE_SQL_INSERT_STMT, operation):
if not seq_params:
self._rowcount = 0
return
stmt = self._batch_insert(operation, seq_params)
if stmt is not None:
return self.execute(stmt)
rowcnt = 0
try:
for params in seq_params:
self.execute(operation, params)
if self.with_rows and self._have_unread_result():
self.fetchall()
rowcnt += self._rowcount
except (ValueError, TypeError) as err:
raise errors.InterfaceError(
"Failed executing the operation; {0}".format(err))
except:
# Raise whatever execute() raises
raise
self._rowcount = rowcnt
def stored_results(self):
"""Returns an iterator for stored results
This method returns an iterator over results which are stored when
callproc() is called. The iterator will provide MySQLCursorBuffered
instances.
Returns a iterator.
"""
return iter(self._stored_results)
def callproc(self, procname, args=()):
"""Calls a stored procedure with the given arguments
The arguments will be set during this session, meaning
they will be called like _<procname>__arg<nr> where
<nr> is an enumeration (+1) of the arguments.
Coding Example:
1) Defining the Stored Routine in MySQL:
CREATE PROCEDURE multiply(IN pFac1 INT, IN pFac2 INT, OUT pProd INT)
BEGIN
SET pProd := pFac1 * pFac2;
END
2) Executing in Python:
args = (5, 5, 0) # 0 is to hold pprod
cursor.callproc('multiply', args)
print(cursor.fetchone())
For OUT and INOUT parameters the user should provide the
type of the parameter as well. The argument should be a
tuple with first item as the value of the parameter to pass
and second argument the type of the argument.
In the above example, one can call callproc method like:
args = (5, 5, (0, 'INT'))
cursor.callproc('multiply', args)
The type of the argument given in the tuple will be used by
the MySQL CAST function to convert the values in the corresponding
MySQL type (See CAST in MySQL Reference for more information)
Does not return a value, but a result set will be
available when the CALL-statement execute successfully.
Raises exceptions when something is wrong.
"""
if not procname or not isinstance(procname, str):
raise ValueError("procname must be a string")
if not isinstance(args, (tuple, list)):
raise ValueError("args must be a sequence")
argfmt = "@_{name}_arg{index}"
self._stored_results = []
results = []
try:
argnames = []
argtypes = []
if args:
for idx, arg in enumerate(args):
argname = argfmt.format(name=procname, index=idx + 1)
argnames.append(argname)
if isinstance(arg, tuple):
argtypes.append(" CAST({0} AS {1})".format(argname,
arg[1]))
self.execute("SET {0}=%s".format(argname), (arg[0],))
else:
argtypes.append(argname)
self.execute("SET {0}=%s".format(argname), (arg,))
call = "CALL {0}({1})".format(procname, ','.join(argnames))
# pylint: disable=W0212
# We disable consuming results temporary to make sure we
# getting all results
can_consume_results = self._connection._consume_results
for result in self._connection.cmd_query_iter(call):
self._connection._consume_results = False
if self._raw:
tmp = MySQLCursorBufferedRaw(self._connection._get_self())
else:
tmp = MySQLCursorBuffered(self._connection._get_self())
tmp._executed = "(a result of {0})".format(call)
tmp._handle_result(result)
if tmp._warnings is not None:
self._warnings = tmp._warnings
if 'columns' in result:
results.append(tmp)
self._connection._consume_results = can_consume_results
#pylint: enable=W0212
if argnames:
select = "SELECT {0}".format(','.join(argtypes))
self.execute(select)
self._stored_results = results
return self.fetchone()
else:
self._stored_results = results
return ()
except errors.Error:
raise
except Exception as err:
raise errors.InterfaceError(
"Failed calling stored routine; {0}".format(err))
def getlastrowid(self):
"""Returns the value generated for an AUTO_INCREMENT column
Returns the value generated for an AUTO_INCREMENT column by
the previous INSERT or UPDATE statement.
Returns a long value or None.
"""
return self._last_insert_id
def _fetch_warnings(self):
"""
Fetch warnings doing a SHOW WARNINGS. Can be called after getting
the result.
Returns a result set or None when there were no warnings.
"""
res = []
try:
cur = self._connection.cursor(raw=False)
cur.execute("SHOW WARNINGS")
res = cur.fetchall()
cur.close()
except Exception as err:
raise errors.InterfaceError(
"Failed getting warnings; %s" % err)
if len(res):
return res
return None
def _handle_warnings(self):
"""Handle possible warnings after all results are consumed"""
if self._connection.get_warnings is True and self._warning_count:
self._warnings = self._fetch_warnings()
def _handle_eof(self, eof):
"""Handle EOF packet"""
self._connection.unread_result = False
self._nextrow = (None, None)
self._warning_count = eof['warning_count']
self._handle_warnings()
if self._connection.raise_on_warnings is True and self._warnings:
raise errors.get_mysql_exception(
self._warnings[0][1], self._warnings[0][2])
def _fetch_row(self):
"""Returns the next row in the result set
Returns a tuple or None.
"""
if not self._have_unread_result():
return None
row = None
if self._nextrow == (None, None):
(row, eof) = self._connection.get_row(
binary=self._binary, columns=self.description)
else:
(row, eof) = self._nextrow
if row:
self._nextrow = self._connection.get_row(
binary=self._binary, columns=self.description)
eof = self._nextrow[1]
if eof is not None:
self._handle_eof(eof)
if self._rowcount == -1:
self._rowcount = 1
else:
self._rowcount += 1
if eof:
self._handle_eof(eof)
return row
def fetchone(self):
"""Returns next row of a query result set
Returns a tuple or None.
"""
row = self._fetch_row()
if row:
if hasattr(self._connection, 'converter'):
return self._connection.converter.row_to_python(
row, self.description)
return row
return None
def fetchmany(self, size=None):
res = []
cnt = (size or self.arraysize)
while cnt > 0 and self._have_unread_result():
cnt -= 1
row = self.fetchone()
if row:
res.append(row)
return res
def fetchall(self):
if not self._have_unread_result():
raise errors.InterfaceError("No result set to fetch from.")
(rows, eof) = self._connection.get_rows()
if self._nextrow[0]:
rows.insert(0, self._nextrow[0])
if hasattr(self._connection, 'converter'):
row_to_python = self._connection.converter.row_to_python
rows = [row_to_python(row, self.description) for row in rows]
self._handle_eof(eof)
rowcount = len(rows)
if rowcount >= 0 and self._rowcount == -1:
self._rowcount = 0
self._rowcount += rowcount
return rows
@property
def column_names(self):
"""Returns column names
This property returns the columns names as a tuple.
Returns a tuple.
"""
if not self.description:
return ()
return tuple([d[0] for d in self.description])
@property
def statement(self):
"""Returns the executed statement
This property returns the executed statement. When multiple
statements were executed, the current statement in the iterator
will be returned.
"""
if self._executed is None:
return None
try:
return self._executed.strip().decode('utf-8')
except (AttributeError, UnicodeDecodeError):
return self._executed.strip()
@property
def with_rows(self):
"""Returns whether the cursor could have rows returned
This property returns True when column descriptions are available
and possibly also rows, which will need to be fetched.
Returns True or False.
"""
if not self.description:
return False
return True
def __str__(self):
fmt = "{class_name}: {stmt}"
if self._executed:
try:
executed = self._executed.decode('utf-8')
except AttributeError:
executed = self._executed
if len(executed) > 40:
executed = executed[:40] + '..'
else:
executed = '(Nothing executed yet)'
return fmt.format(class_name=self.__class__.__name__, stmt=executed)
class MySQLCursorBuffered(MySQLCursor):
"""Cursor which fetches rows within execute()"""
def __init__(self, connection=None):
MySQLCursor.__init__(self, connection)
self._rows = None
self._next_row = 0
def _handle_resultset(self):
(self._rows, eof) = self._connection.get_rows()
self._rowcount = len(self._rows)
self._handle_eof(eof)
self._next_row = 0
try:
self._connection.unread_result = False
except:
pass
def reset(self, free=True):
self._rows = None
def _fetch_row(self):
row = None
try:
row = self._rows[self._next_row]
except:
return None
else:
self._next_row += 1
return row
return None
def fetchall(self):
if self._rows is None:
raise errors.InterfaceError("No result set to fetch from.")
res = []
if hasattr(self._connection, 'converter'):
for row in self._rows[self._next_row:]:
res.append(self._connection.converter.row_to_python(
row, self.description))
else:
res = self._rows[self._next_row:]
self._next_row = len(self._rows)
return res
def fetchmany(self, size=None):
res = []
cnt = (size or self.arraysize)
while cnt > 0:
cnt -= 1
row = self.fetchone()
if row:
res.append(row)
return res
@property
def with_rows(self):
return self._rows is not None
class MySQLCursorRaw(MySQLCursor):
"""
Skips conversion from MySQL datatypes to Python types when fetching rows.
"""
_raw = True
def fetchone(self):
row = self._fetch_row()
if row:
return row
return None
def fetchall(self):
if not self._have_unread_result():
raise errors.InterfaceError("No result set to fetch from.")
(rows, eof) = self._connection.get_rows()
if self._nextrow[0]:
rows.insert(0, self._nextrow[0])
self._handle_eof(eof)
rowcount = len(rows)
if rowcount >= 0 and self._rowcount == -1:
self._rowcount = 0
self._rowcount += rowcount
return rows
class MySQLCursorBufferedRaw(MySQLCursorBuffered):
"""
Cursor which skips conversion from MySQL datatypes to Python types when
fetching rows and fetches rows within execute().
"""
_raw = True
def fetchone(self):
row = self._fetch_row()
if row:
return row
return None
def fetchall(self):
if self._rows is None:
raise errors.InterfaceError("No result set to fetch from.")
return [r for r in self._rows[self._next_row:]]
@property
def with_rows(self):
return self._rows is not None
class MySQLCursorPrepared(MySQLCursor):
"""Cursor using MySQL Prepared Statements
"""
def __init__(self, connection=None):
super(MySQLCursorPrepared, self).__init__(connection)
self._rows = None
self._next_row = 0
self._prepared = None
self._binary = True
self._have_result = None
def callproc(self, *args, **kwargs):
"""Calls a stored procedue
Not supported with MySQLCursorPrepared.
"""
raise errors.NotSupportedError()
def close(self):
"""Close the cursor
This method will try to deallocate the prepared statement and close
the cursor.
"""
if self._prepared:
try:
self._connection.cmd_stmt_close(self._prepared['statement_id'])
except errors.Error:
# We tried to deallocate, but it's OK when we fail.
pass
self._prepared = None
super(MySQLCursorPrepared, self).close()
def _row_to_python(self, rowdata, desc=None):
"""Convert row data from MySQL to Python types
The conversion is done while reading binary data in the
protocol module.
"""
pass
def _handle_result(self, res):
"""Handle result after execution"""
if isinstance(res, dict):
self._connection.unread_result = False
self._have_result = False
self._handle_noresultset(res)
else:
self._description = res[1]
self._connection.unread_result = True
self._have_result = True
def execute(self, operation, params=(), multi=False): # multi is unused
"""Prepare and execute a MySQL Prepared Statement
This method will preare the given operation and execute it using
the optionally given parameters.
If the cursor instance already had a prepared statement, it is
first closed.
"""
if operation is not self._executed:
if self._prepared:
self._connection.cmd_stmt_close(self._prepared['statement_id'])
self._executed = operation
try:
if not isinstance(operation, bytes):
operation = operation.encode(self._connection.charset)
except (UnicodeDecodeError, UnicodeEncodeError) as err:
raise errors.ProgrammingError(str(err))
# need to convert %s to ? before sending it to MySQL
if b'%s' in operation:
operation = re.sub(RE_SQL_FIND_PARAM, b'?', operation)
try:
self._prepared = self._connection.cmd_stmt_prepare(operation)
except errors.Error:
self._executed = None
raise
self._connection.cmd_stmt_reset(self._prepared['statement_id'])
if self._prepared['parameters'] and not params:
return
elif len(self._prepared['parameters']) != len(params):
raise errors.ProgrammingError(
errno=1210,
msg="Incorrect number of arguments " \
"executing prepared statement")
res = self._connection.cmd_stmt_execute(
self._prepared['statement_id'],
data=params,
parameters=self._prepared['parameters'])
self._handle_result(res)
def executemany(self, operation, seq_params):
"""Prepare and execute a MySQL Prepared Statement many times
This method will prepare the given operation and execute with each
tuple found the list seq_params.
If the cursor instance already had a prepared statement, it is
first closed.
executemany() simply calls execute().
"""
rowcnt = 0
try:
for params in seq_params:
self.execute(operation, params)
if self.with_rows and self._have_unread_result():
self.fetchall()
rowcnt += self._rowcount
except (ValueError, TypeError) as err:
raise errors.InterfaceError(
"Failed executing the operation; {error}".format(error=err))
except:
# Raise whatever execute() raises
raise
self._rowcount = rowcnt
def fetchone(self):
"""Returns next row of a query result set
Returns a tuple or None.
"""
return self._fetch_row() or None
def fetchmany(self, size=None):
res = []
cnt = (size or self.arraysize)
while cnt > 0 and self._have_unread_result():
cnt -= 1
row = self._fetch_row()
if row:
res.append(row)
return res
def fetchall(self):
if not self._have_unread_result():
raise errors.InterfaceError("No result set to fetch from.")
(rows, eof) = self._connection.get_rows(
binary=self._binary, columns=self.description)
self._rowcount = len(rows)
self._handle_eof(eof)
return rows
class MySQLCursorDict(MySQLCursor):
"""
Cursor fetching rows as dictionaries.
The fetch methods of this class will return dictionaries instead of tuples.
Each row is a dictionary that looks like:
row = {
"col1": value1,
"col2": value2
}
"""
def _row_to_python(self, rowdata, desc=None):
"""Convert a MySQL text result row to Python types
Returns a dictionary.
"""
if hasattr(self._connection, 'converter'):
row = self._connection.converter.row_to_python(rowdata, desc)
else:
row = rowdata
if row:
return dict(zip(self.column_names, row))
return None
def fetchone(self):
"""Returns next row of a query result set
"""
row = self._fetch_row()
if row:
return self._row_to_python(row, self.description)
return None
def fetchall(self):
"""Returns all rows of a query result set
"""
if not self._have_unread_result():
raise errors.InterfaceError(ERR_NO_RESULT_TO_FETCH)
(rows, eof) = self._connection.get_rows()
if self._nextrow[0]:
rows.insert(0, self._nextrow[0])
res = [self._row_to_python(row, self.description)
for row in rows]
self._handle_eof(eof)
rowcount = len(rows)
if rowcount >= 0 and self._rowcount == -1:
self._rowcount = 0
self._rowcount += rowcount
return res
class MySQLCursorNamedTuple(MySQLCursor):
"""
Cursor fetching rows as named tuple.
The fetch methods of this class will return namedtuples instead of tuples.
Each row is returned as a namedtuple and the values can be accessed as:
row.col1, row.col2
"""
def _row_to_python(self, rowdata, desc=None):
"""Convert a MySQL text result row to Python types
Returns a named tuple.
"""
if hasattr(self._connection, 'converter'):
row = self._connection.converter.row_to_python(rowdata, desc)
else:
row = rowdata
if row:
# pylint: disable=W0201
self.named_tuple = namedtuple('Row', self.column_names)
# pylint: enable=W0201
return self.named_tuple(*row)
def fetchone(self):
"""Returns next row of a query result set
"""
row = self._fetch_row()
if row:
if hasattr(self._connection, 'converter'):
return self._row_to_python(row, self.description)
else:
return row
return None
def fetchall(self):
"""Returns all rows of a query result set
"""
if not self._have_unread_result():
raise errors.InterfaceError(ERR_NO_RESULT_TO_FETCH)
(rows, eof) = self._connection.get_rows()
if self._nextrow[0]:
rows.insert(0, self._nextrow[0])
res = [self._row_to_python(row, self.description)
for row in rows]
self._handle_eof(eof)
rowcount = len(rows)
if rowcount >= 0 and self._rowcount == -1:
self._rowcount = 0
self._rowcount += rowcount
return res
class MySQLCursorBufferedDict(MySQLCursorDict, MySQLCursorBuffered):
"""
Buffered Cursor fetching rows as dictionaries.
"""
def fetchone(self):
"""Returns next row of a query result set
"""
row = self._fetch_row()
if row:
return self._row_to_python(row, self.description)
return None
def fetchall(self):
"""Returns all rows of a query result set
"""
if self._rows is None:
raise errors.InterfaceError(ERR_NO_RESULT_TO_FETCH)
res = []
for row in self._rows[self._next_row:]:
res.append(self._row_to_python(
row, self.description))
self._next_row = len(self._rows)
return res
class MySQLCursorBufferedNamedTuple(MySQLCursorNamedTuple, MySQLCursorBuffered):
"""
Buffered Cursor fetching rows as named tuple.
"""
def fetchone(self):
"""Returns next row of a query result set
"""
row = self._fetch_row()
if row:
return self._row_to_python(row, self.description)
return None
def fetchall(self):
"""Returns all rows of a query result set
"""
if self._rows is None:
raise errors.InterfaceError(ERR_NO_RESULT_TO_FETCH)
res = []
for row in self._rows[self._next_row:]:
res.append(self._row_to_python(
row, self.description))
self._next_row = len(self._rows)
return res
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