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# $Id$
#
# Copyright (C) 2009-2013 Internet Systems Consortium ("ISC")
#
# Permission to use, copy, modify, and distribute this software for any
# purpose with or without fee is hereby granted, provided that the above
# copyright notice and this permission notice appear in all copies.
#
# THE SOFTWARE IS PROVIDED "AS IS" AND ISC DISCLAIMS ALL WARRANTIES WITH
# REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
# AND FITNESS. IN NO EVENT SHALL ISC BE LIABLE FOR ANY SPECIAL, DIRECT,
# INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
# LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE
# OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
# PERFORMANCE OF THIS SOFTWARE.
#
# Portions copyright (C) 2007--2008 American Registry for Internet Numbers ("ARIN")
#
# Permission to use, copy, modify, and distribute this software for any
# purpose with or without fee is hereby granted, provided that the above
# copyright notice and this permission notice appear in all copies.
#
# THE SOFTWARE IS PROVIDED "AS IS" AND ARIN DISCLAIMS ALL WARRANTIES WITH
# REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
# AND FITNESS. IN NO EVENT SHALL ARIN BE LIABLE FOR ANY SPECIAL, DIRECT,
# INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
# LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE
# OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
# PERFORMANCE OF THIS SOFTWARE.
"""
SQL interface code.
"""
import logging
import weakref
from rpki.mysql_import import (MySQLdb, _mysql_exceptions)
import rpki.x509
import rpki.resource_set
import rpki.sundial
import rpki.log
logger = logging.getLogger(__name__)
class session(object):
"""
SQL session layer.
"""
## @var ping_threshold
# Timeout after which we should issue a ping command before the real
# one. Intent is to keep the MySQL connection alive without pinging
# before every single command.
ping_threshold = rpki.sundial.timedelta(seconds = 60)
def __init__(self, cfg):
self.username = cfg.get("sql-username")
self.database = cfg.get("sql-database")
self.password = cfg.get("sql-password")
self.conv = MySQLdb.converters.conversions.copy()
self.conv.update({
rpki.sundial.datetime : MySQLdb.converters.DateTime2literal,
MySQLdb.converters.FIELD_TYPE.DATETIME : rpki.sundial.datetime.DateTime_or_None })
self.cache = weakref.WeakValueDictionary()
self.dirty = set()
self.connect()
def connect(self):
self.db = MySQLdb.connect(user = self.username,
db = self.database,
passwd = self.password,
conv = self.conv)
self.cur = self.db.cursor()
self.db.autocommit(True)
self.timestamp = rpki.sundial.now()
# Try this as a workaround for MySQL 5.6 UTF8 characterset
# braindamage, in which MySQL starts rejecting ASN.1 DER because
# it's not valid UTF-8. Twits.
#
# Except that it breaks MySQL 5.5, so wrap it and ignore errors. Twits ** 2.
try:
self.execute("charset = latin1")
except:
logger.info("Whacking charset to Latin1 to save MySQL 5.6 from its own confusion failed, blundering onwards")
def close(self):
if self.cur:
self.cur.close()
self.cur = None
if self.db:
self.db.close()
self.db = None
def _wrap_execute(self, func, query, args):
try:
now = rpki.sundial.now()
if now > self.timestamp + self.ping_threshold:
self.db.ping(True)
self.timestamp = now
return func(query, args)
except _mysql_exceptions.MySQLError:
if self.dirty:
logger.warning("MySQL exception with dirty objects in SQL cache!")
raise
def execute(self, query, args = None):
return self._wrap_execute(self.cur.execute, query, args)
def executemany(self, query, args):
return self._wrap_execute(self.cur.executemany, query, args)
def fetchall(self):
return self.cur.fetchall()
def lastrowid(self):
return self.cur.lastrowid
def cache_clear(self):
"""
Clear the SQL object cache. Shouldn't be necessary now that the
cache uses weak references, but should be harmless.
"""
logger.debug("Clearing SQL cache")
self.assert_pristine()
self.cache.clear()
def assert_pristine(self):
"""
Assert that there are no dirty objects in the cache.
"""
assert not self.dirty, "Dirty objects in SQL cache: %s" % self.dirty
def sweep(self):
"""
Write any dirty objects out to SQL.
"""
for s in self.dirty.copy():
#if s.sql_cache_debug:
logger.debug("Sweeping (%s) %r", "deleting" if s.sql_deleted else "storing", s)
if s.sql_deleted:
s.sql_delete()
else:
s.sql_store()
self.assert_pristine()
class template(object):
"""
SQL template generator.
"""
def __init__(self, table_name, index_column, *data_columns):
"""
Build a SQL template.
"""
type_map = dict((x[0], x[1]) for x in data_columns if isinstance(x, tuple))
data_columns = tuple(isinstance(x, tuple) and x[0] or x for x in data_columns)
columns = (index_column,) + data_columns
self.table = table_name
self.index = index_column
self.columns = columns
self.map = type_map
self.select = "SELECT %s FROM %s" % (", ".join("%s.%s" % (table_name, c) for c in columns), table_name)
self.insert = "INSERT %s (%s) VALUES (%s)" % (table_name,
", ".join(data_columns),
", ".join("%(" + s + ")s" for s in data_columns))
self.update = "UPDATE %s SET %s WHERE %s = %%(%s)s" % (table_name,
", ".join(s + " = %(" + s + ")s" for s in data_columns),
index_column,
index_column)
self.delete = "DELETE FROM %s WHERE %s = %%s" % (table_name, index_column)
class sql_persistent(object):
"""
Mixin for persistent class that needs to be stored in SQL.
"""
## @var sql_in_db
# Whether this object is already in SQL or not.
sql_in_db = False
## @var sql_deleted
# Whether our cached copy of this object has been deleted.
sql_deleted = False
## @var sql_debug
# Enable logging of SQL actions
sql_debug = False
## @var sql_cache_debug
# Enable debugging of SQL cache actions
sql_cache_debug = False
@classmethod
def sql_fetch(cls, gctx, id): # pylint: disable=W0622
"""
Fetch one object from SQL, based on its primary key.
Since in this one case we know that the primary index is also the
cache key, we check for a cache hit directly in the hope of
bypassing the SQL lookup entirely.
This method is usually called via a one-line class-specific
wrapper. As a convenience, we also accept an id of None, and just
return None in this case.
"""
if id is None:
return None
assert isinstance(id, (int, long)), "id should be an integer, was %r" % type(id)
key = (cls, id)
if key in gctx.sql.cache:
return gctx.sql.cache[key]
else:
return cls.sql_fetch_where1(gctx, "%s = %%s" % cls.sql_template.index, (id,))
@classmethod
def sql_fetch_where1(cls, gctx, where, args = None, also_from = None):
"""
Fetch one object from SQL, based on an arbitrary SQL WHERE expression.
"""
results = cls.sql_fetch_where(gctx, where, args, also_from)
if len(results) == 0:
return None
elif len(results) == 1:
return results[0]
else:
raise rpki.exceptions.DBConsistancyError(
"Database contained multiple matches for %s where %s: %r" %
(cls.__name__, where % tuple(repr(a) for a in args), results))
@classmethod
def sql_fetch_all(cls, gctx):
"""
Fetch all objects of this type from SQL.
"""
return cls.sql_fetch_where(gctx, None)
@classmethod
def sql_fetch_where(cls, gctx, where, args = None, also_from = None):
"""
Fetch objects of this type matching an arbitrary SQL WHERE expression.
"""
if where is None:
assert args is None and also_from is None
if cls.sql_debug:
logger.debug("sql_fetch_where(%r)", cls.sql_template.select)
gctx.sql.execute(cls.sql_template.select)
else:
query = cls.sql_template.select
if also_from is not None:
query += "," + also_from
query += " WHERE " + where
if cls.sql_debug:
logger.debug("sql_fetch_where(%r, %r)", query, args)
gctx.sql.execute(query, args)
results = []
for row in gctx.sql.fetchall():
key = (cls, row[0])
if key in gctx.sql.cache:
results.append(gctx.sql.cache[key])
else:
results.append(cls.sql_init(gctx, row, key))
return results
@classmethod
def sql_init(cls, gctx, row, key):
"""
Initialize one Python object from the result of a SQL query.
"""
self = cls()
self.gctx = gctx
self.sql_decode(dict(zip(cls.sql_template.columns, row)))
gctx.sql.cache[key] = self
self.sql_in_db = True
self.sql_fetch_hook()
return self
def sql_mark_dirty(self):
"""
Mark this object as needing to be written back to SQL.
"""
if self.sql_cache_debug and not self.sql_is_dirty:
logger.debug("Marking %r SQL dirty", self)
self.gctx.sql.dirty.add(self)
def sql_mark_clean(self):
"""
Mark this object as not needing to be written back to SQL.
"""
if self.sql_cache_debug and self.sql_is_dirty:
logger.debug("Marking %r SQL clean", self)
self.gctx.sql.dirty.discard(self)
@property
def sql_is_dirty(self):
"""
Query whether this object needs to be written back to SQL.
"""
return self in self.gctx.sql.dirty
def sql_mark_deleted(self):
"""
Mark this object as needing to be deleted in SQL.
"""
self.sql_deleted = True
self.sql_mark_dirty()
def sql_store(self):
"""
Store this object to SQL.
"""
args = self.sql_encode()
if not self.sql_in_db:
if self.sql_debug:
logger.debug("sql_store(%r, %r)", self.sql_template.insert, args)
self.gctx.sql.execute(self.sql_template.insert, args)
setattr(self, self.sql_template.index, self.gctx.sql.lastrowid())
self.gctx.sql.cache[(self.__class__, self.gctx.sql.lastrowid())] = self
self.sql_insert_hook()
else:
if self.sql_debug:
logger.debug("sql_store(%r, %r)", self.sql_template.update, args)
self.gctx.sql.execute(self.sql_template.update, args)
self.sql_update_hook()
key = (self.__class__, getattr(self, self.sql_template.index))
assert key in self.gctx.sql.cache and self.gctx.sql.cache[key] == self
self.sql_mark_clean()
self.sql_in_db = True
def sql_delete(self):
"""
Delete this object from SQL.
"""
if self.sql_in_db:
id = getattr(self, self.sql_template.index) # pylint: disable=W0622
if self.sql_debug:
logger.debug("sql_delete(%r, %r)", self.sql_template.delete, id)
self.sql_delete_hook()
self.gctx.sql.execute(self.sql_template.delete, (id,))
key = (self.__class__, id)
if self.gctx.sql.cache.get(key) == self:
del self.gctx.sql.cache[key]
self.sql_in_db = False
self.sql_mark_clean()
def sql_encode(self):
"""
Convert object attributes into a dict for use with canned SQL
queries. This is a default version that assumes a one-to-one
mapping between column names in SQL and attribute names in Python.
If you need something fancier, override this.
"""
d = dict((a, getattr(self, a, None)) for a in self.sql_template.columns)
for i in self.sql_template.map:
if d.get(i) is not None:
d[i] = self.sql_template.map[i].to_sql(d[i])
return d
def sql_decode(self, vals):
"""
Initialize an object with values returned by self.sql_fetch().
This is a default version that assumes a one-to-one mapping
between column names in SQL and attribute names in Python. If you
need something fancier, override this.
"""
for a in self.sql_template.columns:
if vals.get(a) is not None and a in self.sql_template.map:
setattr(self, a, self.sql_template.map[a].from_sql(vals[a]))
else:
setattr(self, a, vals[a])
def sql_fetch_hook(self):
"""
Customization hook.
"""
pass
def sql_insert_hook(self):
"""
Customization hook.
"""
pass
def sql_update_hook(self):
"""
Customization hook.
"""
self.sql_delete_hook()
self.sql_insert_hook()
def sql_delete_hook(self):
"""
Customization hook.
"""
pass
def cache_reference(func):
"""
Decorator for use with property methods which just do an SQL lookup based on an ID.
Check for an existing reference to the object, just return that if we find it,
otherwise perform the SQL lookup.
Not 100% certain this is a good idea, but I //think// it should work well with the
current weak reference SQL cache, so long as we create no circular references.
So don't do that.
"""
attr_name = "_" + func.__name__
def wrapped(self):
try:
value = getattr(self, attr_name)
assert value is not None
except AttributeError:
value = func(self)
if value is not None:
setattr(self, attr_name, value)
return value
wrapped.__name__ = func.__name__
wrapped.__doc__ = func.__doc__
wrapped.__dict__.update(func.__dict__)
return wrapped
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