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| Dir : //proc/self/root/opt/saltstack/salt/extras-3.10/pymysql/cursors.py |
import re
from . import err
#: Regular expression for :meth:`Cursor.executemany`.
#: executemany only supports simple bulk insert.
#: You can use it to load large dataset.
RE_INSERT_VALUES = re.compile(
r"\s*((?:INSERT|REPLACE)\b.+\bVALUES?\s*)"
+ r"(\(\s*(?:%s|%\(.+\)s)\s*(?:,\s*(?:%s|%\(.+\)s)\s*)*\))"
+ r"(\s*(?:ON DUPLICATE.*)?);?\s*\Z",
re.IGNORECASE | re.DOTALL,
)
class Cursor:
"""
This is the object used to interact with the database.
Do not create an instance of a Cursor yourself. Call
connections.Connection.cursor().
See `Cursor <https://www.python.org/dev/peps/pep-0249/#cursor-objects>`_ in
the specification.
"""
#: Max statement size which :meth:`executemany` generates.
#:
#: Max size of allowed statement is max_allowed_packet - packet_header_size.
#: Default value of max_allowed_packet is 1048576.
max_stmt_length = 1024000
def __init__(self, connection):
self.connection = connection
self.description = None
self.rownumber = 0
self.rowcount = -1
self.arraysize = 1
self._executed = None
self._result = None
self._rows = None
def close(self):
"""
Closing a cursor just exhausts all remaining data.
"""
conn = self.connection
if conn is None:
return
try:
while self.nextset():
pass
finally:
self.connection = None
def __enter__(self):
return self
def __exit__(self, *exc_info):
del exc_info
self.close()
def _get_db(self):
if not self.connection:
raise err.ProgrammingError("Cursor closed")
return self.connection
def _check_executed(self):
if not self._executed:
raise err.ProgrammingError("execute() first")
def _conv_row(self, row):
return row
def setinputsizes(self, *args):
"""Does nothing, required by DB API."""
def setoutputsizes(self, *args):
"""Does nothing, required by DB API."""
def _nextset(self, unbuffered=False):
"""Get the next query set."""
conn = self._get_db()
current_result = self._result
if current_result is None or current_result is not conn._result:
return None
if not current_result.has_next:
return None
self._result = None
self._clear_result()
conn.next_result(unbuffered=unbuffered)
self._do_get_result()
return True
def nextset(self):
return self._nextset(False)
def _ensure_bytes(self, x, encoding=None):
if isinstance(x, str):
x = x.encode(encoding)
elif isinstance(x, (tuple, list)):
x = type(x)(self._ensure_bytes(v, encoding=encoding) for v in x)
return x
def _escape_args(self, args, conn):
if isinstance(args, (tuple, list)):
return tuple(conn.literal(arg) for arg in args)
elif isinstance(args, dict):
return {key: conn.literal(val) for (key, val) in args.items()}
else:
# If it's not a dictionary let's try escaping it anyways.
# Worst case it will throw a Value error
return conn.escape(args)
def mogrify(self, query, args=None):
"""
Returns the exact string that would be sent to the database by calling the
execute() method.
:param query: Query to mogrify.
:type query: str
:param args: Parameters used with query. (optional)
:type args: tuple, list or dict
:return: The query with argument binding applied.
:rtype: str
This method follows the extension to the DB API 2.0 followed by Psycopg.
"""
conn = self._get_db()
if args is not None:
query = query % self._escape_args(args, conn)
return query
def execute(self, query, args=None):
"""Execute a query.
:param query: Query to execute.
:type query: str
:param args: Parameters used with query. (optional)
:type args: tuple, list or dict
:return: Number of affected rows.
:rtype: int
If args is a list or tuple, %s can be used as a placeholder in the query.
If args is a dict, %(name)s can be used as a placeholder in the query.
"""
while self.nextset():
pass
query = self.mogrify(query, args)
result = self._query(query)
self._executed = query
return result
def executemany(self, query, args):
"""Run several data against one query.
:param query: Query to execute.
:type query: str
:param args: Sequence of sequences or mappings. It is used as parameter.
:type args: tuple or list
:return: Number of rows affected, if any.
:rtype: int or None
This method improves performance on multiple-row INSERT and
REPLACE. Otherwise it is equivalent to looping over args with
execute().
"""
if not args:
return
m = RE_INSERT_VALUES.match(query)
if m:
q_prefix = m.group(1) % ()
q_values = m.group(2).rstrip()
q_postfix = m.group(3) or ""
assert q_values[0] == "(" and q_values[-1] == ")"
return self._do_execute_many(
q_prefix,
q_values,
q_postfix,
args,
self.max_stmt_length,
self._get_db().encoding,
)
self.rowcount = sum(self.execute(query, arg) for arg in args)
return self.rowcount
def _do_execute_many(
self, prefix, values, postfix, args, max_stmt_length, encoding
):
conn = self._get_db()
escape = self._escape_args
if isinstance(prefix, str):
prefix = prefix.encode(encoding)
if isinstance(postfix, str):
postfix = postfix.encode(encoding)
sql = bytearray(prefix)
args = iter(args)
v = values % escape(next(args), conn)
if isinstance(v, str):
v = v.encode(encoding, "surrogateescape")
sql += v
rows = 0
for arg in args:
v = values % escape(arg, conn)
if isinstance(v, str):
v = v.encode(encoding, "surrogateescape")
if len(sql) + len(v) + len(postfix) + 1 > max_stmt_length:
rows += self.execute(sql + postfix)
sql = bytearray(prefix)
else:
sql += b","
sql += v
rows += self.execute(sql + postfix)
self.rowcount = rows
return rows
def callproc(self, procname, args=()):
"""Execute stored procedure procname with args.
:param procname: Name of procedure to execute on server.
:type procname: str
:param args: Sequence of parameters to use with procedure.
:type args: tuple or list
Returns the original args.
Compatibility warning: PEP-249 specifies that any modified
parameters must be returned. This is currently impossible
as they are only available by storing them in a server
variable and then retrieved by a query. Since stored
procedures return zero or more result sets, there is no
reliable way to get at OUT or INOUT parameters via callproc.
The server variables are named @_procname_n, where procname
is the parameter above and n is the position of the parameter
(from zero). Once all result sets generated by the procedure
have been fetched, you can issue a SELECT @_procname_0, ...
query using .execute() to get any OUT or INOUT values.
Compatibility warning: The act of calling a stored procedure
itself creates an empty result set. This appears after any
result sets generated by the procedure. This is non-standard
behavior with respect to the DB-API. Be sure to use nextset()
to advance through all result sets; otherwise you may get
disconnected.
"""
conn = self._get_db()
if args:
fmt = f"@_{procname}_%d=%s"
self._query(
"SET %s"
% ",".join(
fmt % (index, conn.escape(arg)) for index, arg in enumerate(args)
)
)
self.nextset()
q = "CALL %s(%s)" % (
procname,
",".join(["@_%s_%d" % (procname, i) for i in range(len(args))]),
)
self._query(q)
self._executed = q
return args
def fetchone(self):
"""Fetch the next row."""
self._check_executed()
if self._rows is None or self.rownumber >= len(self._rows):
return None
result = self._rows[self.rownumber]
self.rownumber += 1
return result
def fetchmany(self, size=None):
"""Fetch several rows."""
self._check_executed()
if self._rows is None:
return ()
end = self.rownumber + (size or self.arraysize)
result = self._rows[self.rownumber : end]
self.rownumber = min(end, len(self._rows))
return result
def fetchall(self):
"""Fetch all the rows."""
self._check_executed()
if self._rows is None:
return ()
if self.rownumber:
result = self._rows[self.rownumber :]
else:
result = self._rows
self.rownumber = len(self._rows)
return result
def scroll(self, value, mode="relative"):
self._check_executed()
if mode == "relative":
r = self.rownumber + value
elif mode == "absolute":
r = value
else:
raise err.ProgrammingError("unknown scroll mode %s" % mode)
if not (0 <= r < len(self._rows)):
raise IndexError("out of range")
self.rownumber = r
def _query(self, q):
conn = self._get_db()
self._clear_result()
conn.query(q)
self._do_get_result()
return self.rowcount
def _clear_result(self):
self.rownumber = 0
self._result = None
self.rowcount = 0
self.description = None
self.lastrowid = None
self._rows = None
def _do_get_result(self):
conn = self._get_db()
self._result = result = conn._result
self.rowcount = result.affected_rows
self.description = result.description
self.lastrowid = result.insert_id
self._rows = result.rows
def __iter__(self):
return iter(self.fetchone, None)
Warning = err.Warning
Error = err.Error
InterfaceError = err.InterfaceError
DatabaseError = err.DatabaseError
DataError = err.DataError
OperationalError = err.OperationalError
IntegrityError = err.IntegrityError
InternalError = err.InternalError
ProgrammingError = err.ProgrammingError
NotSupportedError = err.NotSupportedError
class DictCursorMixin:
# You can override this to use OrderedDict or other dict-like types.
dict_type = dict
def _do_get_result(self):
super(DictCursorMixin, self)._do_get_result()
fields = []
if self.description:
for f in self._result.fields:
name = f.name
if name in fields:
name = f.table_name + "." + name
fields.append(name)
self._fields = fields
if fields and self._rows:
self._rows = [self._conv_row(r) for r in self._rows]
def _conv_row(self, row):
if row is None:
return None
return self.dict_type(zip(self._fields, row))
class DictCursor(DictCursorMixin, Cursor):
"""A cursor which returns results as a dictionary"""
class SSCursor(Cursor):
"""
Unbuffered Cursor, mainly useful for queries that return a lot of data,
or for connections to remote servers over a slow network.
Instead of copying every row of data into a buffer, this will fetch
rows as needed. The upside of this is the client uses much less memory,
and rows are returned much faster when traveling over a slow network
or if the result set is very big.
There are limitations, though. The MySQL protocol doesn't support
returning the total number of rows, so the only way to tell how many rows
there are is to iterate over every row returned. Also, it currently isn't
possible to scroll backwards, as only the current row is held in memory.
"""
def _conv_row(self, row):
return row
def close(self):
conn = self.connection
if conn is None:
return
if self._result is not None and self._result is conn._result:
self._result._finish_unbuffered_query()
try:
while self.nextset():
pass
finally:
self.connection = None
__del__ = close
def _query(self, q):
conn = self._get_db()
self._clear_result()
conn.query(q, unbuffered=True)
self._do_get_result()
return self.rowcount
def nextset(self):
return self._nextset(unbuffered=True)
def read_next(self):
"""Read next row."""
return self._conv_row(self._result._read_rowdata_packet_unbuffered())
def fetchone(self):
"""Fetch next row."""
self._check_executed()
row = self.read_next()
if row is None:
return None
self.rownumber += 1
return row
def fetchall(self):
"""
Fetch all, as per MySQLdb. Pretty useless for large queries, as
it is buffered. See fetchall_unbuffered(), if you want an unbuffered
generator version of this method.
"""
return list(self.fetchall_unbuffered())
def fetchall_unbuffered(self):
"""
Fetch all, implemented as a generator, which isn't to standard,
however, it doesn't make sense to return everything in a list, as that
would use ridiculous memory for large result sets.
"""
return iter(self.fetchone, None)
def __iter__(self):
return self.fetchall_unbuffered()
def fetchmany(self, size=None):
"""Fetch many."""
self._check_executed()
if size is None:
size = self.arraysize
rows = []
for i in range(size):
row = self.read_next()
if row is None:
break
rows.append(row)
self.rownumber += 1
return rows
def scroll(self, value, mode="relative"):
self._check_executed()
if mode == "relative":
if value < 0:
raise err.NotSupportedError(
"Backwards scrolling not supported by this cursor"
)
for _ in range(value):
self.read_next()
self.rownumber += value
elif mode == "absolute":
if value < self.rownumber:
raise err.NotSupportedError(
"Backwards scrolling not supported by this cursor"
)
end = value - self.rownumber
for _ in range(end):
self.read_next()
self.rownumber = value
else:
raise err.ProgrammingError("unknown scroll mode %s" % mode)
class SSDictCursor(DictCursorMixin, SSCursor):
"""An unbuffered cursor, which returns results as a dictionary"""