mirror of
https://git.anonymousland.org/anonymousland/synapse.git
synced 2024-12-27 13:29:22 -05:00
d8866d7277
Before, caches were global and so different instances of the stores would share caches. This caused problems in the unit tests.
1070 lines
36 KiB
Python
1070 lines
36 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2014, 2015 OpenMarket Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import logging
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from synapse.api.errors import StoreError
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from synapse.util.logutils import log_function
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from synapse.util.logcontext import preserve_context_over_fn, LoggingContext
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from synapse.util.lrucache import LruCache
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import synapse.metrics
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from util.id_generators import IdGenerator, StreamIdGenerator
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from twisted.internet import defer
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from collections import namedtuple, OrderedDict
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import functools
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import sys
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import time
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import threading
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DEBUG_CACHES = False
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logger = logging.getLogger(__name__)
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sql_logger = logging.getLogger("synapse.storage.SQL")
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transaction_logger = logging.getLogger("synapse.storage.txn")
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perf_logger = logging.getLogger("synapse.storage.TIME")
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metrics = synapse.metrics.get_metrics_for("synapse.storage")
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sql_scheduling_timer = metrics.register_distribution("schedule_time")
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sql_query_timer = metrics.register_distribution("query_time", labels=["verb"])
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sql_txn_timer = metrics.register_distribution("transaction_time", labels=["desc"])
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caches_by_name = {}
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cache_counter = metrics.register_cache(
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"cache",
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lambda: {(name,): len(caches_by_name[name]) for name in caches_by_name.keys()},
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labels=["name"],
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)
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class Cache(object):
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def __init__(self, name, max_entries=1000, keylen=1, lru=False):
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if lru:
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self.cache = LruCache(max_size=max_entries)
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self.max_entries = None
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else:
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self.cache = OrderedDict()
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self.max_entries = max_entries
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self.name = name
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self.keylen = keylen
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self.sequence = 0
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self.thread = None
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caches_by_name[name] = self.cache
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def check_thread(self):
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expected_thread = self.thread
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if expected_thread is None:
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self.thread = threading.current_thread()
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else:
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if expected_thread is not threading.current_thread():
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raise ValueError(
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"Cache objects can only be accessed from the main thread"
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)
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def get(self, *keyargs):
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if len(keyargs) != self.keylen:
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raise ValueError("Expected a key to have %d items", self.keylen)
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if keyargs in self.cache:
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cache_counter.inc_hits(self.name)
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return self.cache[keyargs]
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cache_counter.inc_misses(self.name)
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raise KeyError()
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def update(self, sequence, *args):
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self.check_thread()
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if self.sequence == sequence:
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# Only update the cache if the caches sequence number matches the
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# number that the cache had before the SELECT was started (SYN-369)
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self.prefill(*args)
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def prefill(self, *args): # because I can't *keyargs, value
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keyargs = args[:-1]
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value = args[-1]
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if len(keyargs) != self.keylen:
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raise ValueError("Expected a key to have %d items", self.keylen)
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if self.max_entries is not None:
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while len(self.cache) >= self.max_entries:
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self.cache.popitem(last=False)
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self.cache[keyargs] = value
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def invalidate(self, *keyargs):
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self.check_thread()
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if len(keyargs) != self.keylen:
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raise ValueError("Expected a key to have %d items", self.keylen)
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# Increment the sequence number so that any SELECT statements that
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# raced with the INSERT don't update the cache (SYN-369)
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self.sequence += 1
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self.cache.pop(keyargs, None)
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def invalidate_all(self):
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self.check_thread()
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self.sequence += 1
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self.cache.clear()
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class CacheDescriptor(object):
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""" A method decorator that applies a memoizing cache around the function.
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The function is presumed to take zero or more arguments, which are used in
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a tuple as the key for the cache. Hits are served directly from the cache;
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misses use the function body to generate the value.
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The wrapped function has an additional member, a callable called
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"invalidate". This can be used to remove individual entries from the cache.
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The wrapped function has another additional callable, called "prefill",
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which can be used to insert values into the cache specifically, without
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calling the calculation function.
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"""
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def __init__(self, orig, max_entries=1000, num_args=1, lru=False):
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self.orig = orig
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self.max_entries = max_entries
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self.num_args = num_args
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self.lru = lru
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def __get__(self, obj, objtype=None):
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cache = Cache(
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name=self.orig.__name__,
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max_entries=self.max_entries,
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keylen=self.num_args,
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lru=self.lru,
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)
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@functools.wraps(self.orig)
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@defer.inlineCallbacks
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def wrapped(*keyargs):
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try:
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cached_result = cache.get(*keyargs[:self.num_args])
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if DEBUG_CACHES:
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actual_result = yield self.orig(obj, *keyargs)
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if actual_result != cached_result:
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logger.error(
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"Stale cache entry %s%r: cached: %r, actual %r",
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self.orig.__name__, keyargs,
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cached_result, actual_result,
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)
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raise ValueError("Stale cache entry")
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defer.returnValue(cached_result)
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except KeyError:
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# Get the sequence number of the cache before reading from the
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# database so that we can tell if the cache is invalidated
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# while the SELECT is executing (SYN-369)
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sequence = cache.sequence
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ret = yield self.orig(obj, *keyargs)
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cache.update(sequence, *keyargs[:self.num_args] + (ret,))
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defer.returnValue(ret)
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wrapped.invalidate = cache.invalidate
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wrapped.invalidate_all = cache.invalidate_all
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wrapped.prefill = cache.prefill
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obj.__dict__[self.orig.__name__] = wrapped
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return wrapped
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def cached(max_entries=1000, num_args=1, lru=False):
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return lambda orig: CacheDescriptor(
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orig,
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max_entries=max_entries,
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num_args=num_args,
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lru=lru
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)
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class LoggingTransaction(object):
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"""An object that almost-transparently proxies for the 'txn' object
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passed to the constructor. Adds logging and metrics to the .execute()
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method."""
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__slots__ = ["txn", "name", "database_engine", "after_callbacks"]
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def __init__(self, txn, name, database_engine, after_callbacks):
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object.__setattr__(self, "txn", txn)
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object.__setattr__(self, "name", name)
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object.__setattr__(self, "database_engine", database_engine)
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object.__setattr__(self, "after_callbacks", after_callbacks)
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def call_after(self, callback, *args):
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"""Call the given callback on the main twisted thread after the
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transaction has finished. Used to invalidate the caches on the
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correct thread.
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"""
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self.after_callbacks.append((callback, args))
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def __getattr__(self, name):
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return getattr(self.txn, name)
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def __setattr__(self, name, value):
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setattr(self.txn, name, value)
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def execute(self, sql, *args):
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self._do_execute(self.txn.execute, sql, *args)
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def executemany(self, sql, *args):
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self._do_execute(self.txn.executemany, sql, *args)
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def _do_execute(self, func, sql, *args):
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# TODO(paul): Maybe use 'info' and 'debug' for values?
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sql_logger.debug("[SQL] {%s} %s", self.name, sql)
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sql = self.database_engine.convert_param_style(sql)
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if args:
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try:
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sql_logger.debug(
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"[SQL values] {%s} %r",
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self.name, args[0]
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)
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except:
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# Don't let logging failures stop SQL from working
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pass
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start = time.time() * 1000
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try:
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return func(
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sql, *args
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)
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except Exception as e:
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logger.debug("[SQL FAIL] {%s} %s", self.name, e)
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raise
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finally:
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msecs = (time.time() * 1000) - start
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sql_logger.debug("[SQL time] {%s} %f", self.name, msecs)
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sql_query_timer.inc_by(msecs, sql.split()[0])
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class PerformanceCounters(object):
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def __init__(self):
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self.current_counters = {}
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self.previous_counters = {}
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def update(self, key, start_time, end_time=None):
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if end_time is None:
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end_time = time.time() * 1000
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duration = end_time - start_time
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count, cum_time = self.current_counters.get(key, (0, 0))
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count += 1
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cum_time += duration
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self.current_counters[key] = (count, cum_time)
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return end_time
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def interval(self, interval_duration, limit=3):
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counters = []
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for name, (count, cum_time) in self.current_counters.items():
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prev_count, prev_time = self.previous_counters.get(name, (0, 0))
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counters.append((
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(cum_time - prev_time) / interval_duration,
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count - prev_count,
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name
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))
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self.previous_counters = dict(self.current_counters)
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counters.sort(reverse=True)
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top_n_counters = ", ".join(
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"%s(%d): %.3f%%" % (name, count, 100 * ratio)
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for ratio, count, name in counters[:limit]
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)
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return top_n_counters
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class SQLBaseStore(object):
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_TXN_ID = 0
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def __init__(self, hs):
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self.hs = hs
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self._db_pool = hs.get_db_pool()
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self._clock = hs.get_clock()
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self._previous_txn_total_time = 0
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self._current_txn_total_time = 0
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self._previous_loop_ts = 0
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# TODO(paul): These can eventually be removed once the metrics code
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# is running in mainline, and we have some nice monitoring frontends
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# to watch it
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self._txn_perf_counters = PerformanceCounters()
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self._get_event_counters = PerformanceCounters()
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self._get_event_cache = Cache("*getEvent*", keylen=3, lru=True,
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max_entries=hs.config.event_cache_size)
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self._event_fetch_lock = threading.Condition()
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self._event_fetch_list = []
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self._event_fetch_ongoing = 0
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self._pending_ds = []
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self.database_engine = hs.database_engine
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self._stream_id_gen = StreamIdGenerator()
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self._transaction_id_gen = IdGenerator("sent_transactions", "id", self)
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self._state_groups_id_gen = IdGenerator("state_groups", "id", self)
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self._access_tokens_id_gen = IdGenerator("access_tokens", "id", self)
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self._pushers_id_gen = IdGenerator("pushers", "id", self)
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self._push_rule_id_gen = IdGenerator("push_rules", "id", self)
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self._push_rules_enable_id_gen = IdGenerator("push_rules_enable", "id", self)
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def start_profiling(self):
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self._previous_loop_ts = self._clock.time_msec()
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def loop():
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curr = self._current_txn_total_time
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prev = self._previous_txn_total_time
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self._previous_txn_total_time = curr
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time_now = self._clock.time_msec()
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time_then = self._previous_loop_ts
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self._previous_loop_ts = time_now
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ratio = (curr - prev)/(time_now - time_then)
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top_three_counters = self._txn_perf_counters.interval(
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time_now - time_then, limit=3
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)
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top_3_event_counters = self._get_event_counters.interval(
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time_now - time_then, limit=3
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)
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perf_logger.info(
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"Total database time: %.3f%% {%s} {%s}",
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ratio * 100, top_three_counters, top_3_event_counters
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)
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self._clock.looping_call(loop, 10000)
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def _new_transaction(self, conn, desc, after_callbacks, func, *args, **kwargs):
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start = time.time() * 1000
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txn_id = self._TXN_ID
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# We don't really need these to be unique, so lets stop it from
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# growing really large.
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self._TXN_ID = (self._TXN_ID + 1) % (sys.maxint - 1)
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name = "%s-%x" % (desc, txn_id, )
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transaction_logger.debug("[TXN START] {%s}", name)
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try:
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i = 0
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N = 5
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while True:
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try:
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txn = conn.cursor()
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txn = LoggingTransaction(
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txn, name, self.database_engine, after_callbacks
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)
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r = func(txn, *args, **kwargs)
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conn.commit()
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return r
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except self.database_engine.module.OperationalError as e:
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# This can happen if the database disappears mid
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# transaction.
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logger.warn(
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"[TXN OPERROR] {%s} %s %d/%d",
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name, e, i, N
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)
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if i < N:
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i += 1
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try:
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conn.rollback()
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except self.database_engine.module.Error as e1:
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logger.warn(
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"[TXN EROLL] {%s} %s",
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name, e1,
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)
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continue
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raise
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except self.database_engine.module.DatabaseError as e:
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if self.database_engine.is_deadlock(e):
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logger.warn("[TXN DEADLOCK] {%s} %d/%d", name, i, N)
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if i < N:
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i += 1
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try:
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conn.rollback()
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except self.database_engine.module.Error as e1:
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logger.warn(
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"[TXN EROLL] {%s} %s",
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name, e1,
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)
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continue
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raise
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except Exception as e:
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logger.debug("[TXN FAIL] {%s} %s", name, e)
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raise
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finally:
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end = time.time() * 1000
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duration = end - start
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transaction_logger.debug("[TXN END] {%s} %f", name, duration)
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self._current_txn_total_time += duration
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self._txn_perf_counters.update(desc, start, end)
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sql_txn_timer.inc_by(duration, desc)
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@defer.inlineCallbacks
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def runInteraction(self, desc, func, *args, **kwargs):
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"""Wraps the .runInteraction() method on the underlying db_pool."""
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current_context = LoggingContext.current_context()
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start_time = time.time() * 1000
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after_callbacks = []
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def inner_func(conn, *args, **kwargs):
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with LoggingContext("runInteraction") as context:
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sql_scheduling_timer.inc_by(time.time() * 1000 - start_time)
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if self.database_engine.is_connection_closed(conn):
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logger.debug("Reconnecting closed database connection")
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conn.reconnect()
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current_context.copy_to(context)
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return self._new_transaction(
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conn, desc, after_callbacks, func, *args, **kwargs
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)
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result = yield preserve_context_over_fn(
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self._db_pool.runWithConnection,
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inner_func, *args, **kwargs
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)
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for after_callback, after_args in after_callbacks:
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after_callback(*after_args)
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defer.returnValue(result)
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@defer.inlineCallbacks
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def runWithConnection(self, func, *args, **kwargs):
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"""Wraps the .runInteraction() method on the underlying db_pool."""
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current_context = LoggingContext.current_context()
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start_time = time.time() * 1000
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def inner_func(conn, *args, **kwargs):
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with LoggingContext("runWithConnection") as context:
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sql_scheduling_timer.inc_by(time.time() * 1000 - start_time)
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if self.database_engine.is_connection_closed(conn):
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logger.debug("Reconnecting closed database connection")
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conn.reconnect()
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current_context.copy_to(context)
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return func(conn, *args, **kwargs)
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result = yield preserve_context_over_fn(
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self._db_pool.runWithConnection,
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inner_func, *args, **kwargs
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)
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defer.returnValue(result)
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def cursor_to_dict(self, cursor):
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"""Converts a SQL cursor into an list of dicts.
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Args:
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cursor : The DBAPI cursor which has executed a query.
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Returns:
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A list of dicts where the key is the column header.
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"""
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col_headers = list(column[0] for column in cursor.description)
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results = list(
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dict(zip(col_headers, row)) for row in cursor.fetchall()
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)
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return results
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def _execute(self, desc, decoder, query, *args):
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"""Runs a single query for a result set.
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Args:
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decoder - The function which can resolve the cursor results to
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something meaningful.
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query - The query string to execute
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*args - Query args.
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Returns:
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The result of decoder(results)
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"""
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def interaction(txn):
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txn.execute(query, args)
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if decoder:
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return decoder(txn)
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else:
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|
return txn.fetchall()
|
|
|
|
return self.runInteraction(desc, interaction)
|
|
|
|
def _execute_and_decode(self, desc, query, *args):
|
|
return self._execute(desc, self.cursor_to_dict, query, *args)
|
|
|
|
# "Simple" SQL API methods that operate on a single table with no JOINs,
|
|
# no complex WHERE clauses, just a dict of values for columns.
|
|
|
|
@defer.inlineCallbacks
|
|
def _simple_insert(self, table, values, or_ignore=False,
|
|
desc="_simple_insert"):
|
|
"""Executes an INSERT query on the named table.
|
|
|
|
Args:
|
|
table : string giving the table name
|
|
values : dict of new column names and values for them
|
|
"""
|
|
try:
|
|
yield self.runInteraction(
|
|
desc,
|
|
self._simple_insert_txn, table, values,
|
|
)
|
|
except self.database_engine.module.IntegrityError:
|
|
# We have to do or_ignore flag at this layer, since we can't reuse
|
|
# a cursor after we receive an error from the db.
|
|
if not or_ignore:
|
|
raise
|
|
|
|
@log_function
|
|
def _simple_insert_txn(self, txn, table, values):
|
|
keys, vals = zip(*values.items())
|
|
|
|
sql = "INSERT INTO %s (%s) VALUES(%s)" % (
|
|
table,
|
|
", ".join(k for k in keys),
|
|
", ".join("?" for _ in keys)
|
|
)
|
|
|
|
txn.execute(sql, vals)
|
|
|
|
def _simple_insert_many_txn(self, txn, table, values):
|
|
if not values:
|
|
return
|
|
|
|
# This is a *slight* abomination to get a list of tuples of key names
|
|
# and a list of tuples of value names.
|
|
#
|
|
# i.e. [{"a": 1, "b": 2}, {"c": 3, "d": 4}]
|
|
# => [("a", "b",), ("c", "d",)] and [(1, 2,), (3, 4,)]
|
|
#
|
|
# The sort is to ensure that we don't rely on dictionary iteration
|
|
# order.
|
|
keys, vals = zip(*[
|
|
zip(
|
|
*(sorted(i.items(), key=lambda kv: kv[0]))
|
|
)
|
|
for i in values
|
|
if i
|
|
])
|
|
|
|
for k in keys:
|
|
if k != keys[0]:
|
|
raise RuntimeError(
|
|
"All items must have the same keys"
|
|
)
|
|
|
|
sql = "INSERT INTO %s (%s) VALUES(%s)" % (
|
|
table,
|
|
", ".join(k for k in keys[0]),
|
|
", ".join("?" for _ in keys[0])
|
|
)
|
|
|
|
txn.executemany(sql, vals)
|
|
|
|
def _simple_upsert(self, table, keyvalues, values,
|
|
insertion_values={}, desc="_simple_upsert", lock=True):
|
|
"""
|
|
Args:
|
|
table (str): The table to upsert into
|
|
keyvalues (dict): The unique key tables and their new values
|
|
values (dict): The nonunique columns and their new values
|
|
insertion_values (dict): key/values to use when inserting
|
|
Returns: A deferred
|
|
"""
|
|
return self.runInteraction(
|
|
desc,
|
|
self._simple_upsert_txn, table, keyvalues, values, insertion_values,
|
|
lock
|
|
)
|
|
|
|
def _simple_upsert_txn(self, txn, table, keyvalues, values, insertion_values={},
|
|
lock=True):
|
|
# We need to lock the table :(, unless we're *really* careful
|
|
if lock:
|
|
self.database_engine.lock_table(txn, table)
|
|
|
|
# Try to update
|
|
sql = "UPDATE %s SET %s WHERE %s" % (
|
|
table,
|
|
", ".join("%s = ?" % (k,) for k in values),
|
|
" AND ".join("%s = ?" % (k,) for k in keyvalues)
|
|
)
|
|
sqlargs = values.values() + keyvalues.values()
|
|
logger.debug(
|
|
"[SQL] %s Args=%s",
|
|
sql, sqlargs,
|
|
)
|
|
|
|
txn.execute(sql, sqlargs)
|
|
if txn.rowcount == 0:
|
|
# We didn't update and rows so insert a new one
|
|
allvalues = {}
|
|
allvalues.update(keyvalues)
|
|
allvalues.update(values)
|
|
allvalues.update(insertion_values)
|
|
|
|
sql = "INSERT INTO %s (%s) VALUES (%s)" % (
|
|
table,
|
|
", ".join(k for k in allvalues),
|
|
", ".join("?" for _ in allvalues)
|
|
)
|
|
logger.debug(
|
|
"[SQL] %s Args=%s",
|
|
sql, keyvalues.values(),
|
|
)
|
|
txn.execute(sql, allvalues.values())
|
|
|
|
def _simple_select_one(self, table, keyvalues, retcols,
|
|
allow_none=False, desc="_simple_select_one"):
|
|
"""Executes a SELECT query on the named table, which is expected to
|
|
return a single row, returning a single column from it.
|
|
|
|
Args:
|
|
table : string giving the table name
|
|
keyvalues : dict of column names and values to select the row with
|
|
retcols : list of strings giving the names of the columns to return
|
|
|
|
allow_none : If true, return None instead of failing if the SELECT
|
|
statement returns no rows
|
|
"""
|
|
return self.runInteraction(
|
|
desc,
|
|
self._simple_select_one_txn,
|
|
table, keyvalues, retcols, allow_none,
|
|
)
|
|
|
|
def _simple_select_one_onecol(self, table, keyvalues, retcol,
|
|
allow_none=False,
|
|
desc="_simple_select_one_onecol"):
|
|
"""Executes a SELECT query on the named table, which is expected to
|
|
return a single row, returning a single column from it."
|
|
|
|
Args:
|
|
table : string giving the table name
|
|
keyvalues : dict of column names and values to select the row with
|
|
retcol : string giving the name of the column to return
|
|
"""
|
|
return self.runInteraction(
|
|
desc,
|
|
self._simple_select_one_onecol_txn,
|
|
table, keyvalues, retcol, allow_none=allow_none,
|
|
)
|
|
|
|
def _simple_select_one_onecol_txn(self, txn, table, keyvalues, retcol,
|
|
allow_none=False):
|
|
ret = self._simple_select_onecol_txn(
|
|
txn,
|
|
table=table,
|
|
keyvalues=keyvalues,
|
|
retcol=retcol,
|
|
)
|
|
|
|
if ret:
|
|
return ret[0]
|
|
else:
|
|
if allow_none:
|
|
return None
|
|
else:
|
|
raise StoreError(404, "No row found")
|
|
|
|
def _simple_select_onecol_txn(self, txn, table, keyvalues, retcol):
|
|
sql = (
|
|
"SELECT %(retcol)s FROM %(table)s WHERE %(where)s"
|
|
) % {
|
|
"retcol": retcol,
|
|
"table": table,
|
|
"where": " AND ".join("%s = ?" % k for k in keyvalues.keys()),
|
|
}
|
|
|
|
txn.execute(sql, keyvalues.values())
|
|
|
|
return [r[0] for r in txn.fetchall()]
|
|
|
|
def _simple_select_onecol(self, table, keyvalues, retcol,
|
|
desc="_simple_select_onecol"):
|
|
"""Executes a SELECT query on the named table, which returns a list
|
|
comprising of the values of the named column from the selected rows.
|
|
|
|
Args:
|
|
table (str): table name
|
|
keyvalues (dict): column names and values to select the rows with
|
|
retcol (str): column whos value we wish to retrieve.
|
|
|
|
Returns:
|
|
Deferred: Results in a list
|
|
"""
|
|
return self.runInteraction(
|
|
desc,
|
|
self._simple_select_onecol_txn,
|
|
table, keyvalues, retcol
|
|
)
|
|
|
|
def _simple_select_list(self, table, keyvalues, retcols,
|
|
desc="_simple_select_list"):
|
|
"""Executes a SELECT query on the named table, which may return zero or
|
|
more rows, returning the result as a list of dicts.
|
|
|
|
Args:
|
|
table : string giving the table name
|
|
keyvalues : dict of column names and values to select the rows with,
|
|
or None to not apply a WHERE clause.
|
|
retcols : list of strings giving the names of the columns to return
|
|
"""
|
|
return self.runInteraction(
|
|
desc,
|
|
self._simple_select_list_txn,
|
|
table, keyvalues, retcols
|
|
)
|
|
|
|
def _simple_select_list_txn(self, txn, table, keyvalues, retcols):
|
|
"""Executes a SELECT query on the named table, which may return zero or
|
|
more rows, returning the result as a list of dicts.
|
|
|
|
Args:
|
|
txn : Transaction object
|
|
table : string giving the table name
|
|
keyvalues : dict of column names and values to select the rows with
|
|
retcols : list of strings giving the names of the columns to return
|
|
"""
|
|
if keyvalues:
|
|
sql = "SELECT %s FROM %s WHERE %s" % (
|
|
", ".join(retcols),
|
|
table,
|
|
" AND ".join("%s = ?" % (k, ) for k in keyvalues)
|
|
)
|
|
txn.execute(sql, keyvalues.values())
|
|
else:
|
|
sql = "SELECT %s FROM %s" % (
|
|
", ".join(retcols),
|
|
table
|
|
)
|
|
txn.execute(sql)
|
|
|
|
return self.cursor_to_dict(txn)
|
|
|
|
def _simple_update_one(self, table, keyvalues, updatevalues,
|
|
desc="_simple_update_one"):
|
|
"""Executes an UPDATE query on the named table, setting new values for
|
|
columns in a row matching the key values.
|
|
|
|
Args:
|
|
table : string giving the table name
|
|
keyvalues : dict of column names and values to select the row with
|
|
updatevalues : dict giving column names and values to update
|
|
retcols : optional list of column names to return
|
|
|
|
If present, retcols gives a list of column names on which to perform
|
|
a SELECT statement *before* performing the UPDATE statement. The values
|
|
of these will be returned in a dict.
|
|
|
|
These are performed within the same transaction, allowing an atomic
|
|
get-and-set. This can be used to implement compare-and-set by putting
|
|
the update column in the 'keyvalues' dict as well.
|
|
"""
|
|
return self.runInteraction(
|
|
desc,
|
|
self._simple_update_one_txn,
|
|
table, keyvalues, updatevalues,
|
|
)
|
|
|
|
def _simple_update_one_txn(self, txn, table, keyvalues, updatevalues):
|
|
update_sql = "UPDATE %s SET %s WHERE %s" % (
|
|
table,
|
|
", ".join("%s = ?" % (k,) for k in updatevalues),
|
|
" AND ".join("%s = ?" % (k,) for k in keyvalues)
|
|
)
|
|
|
|
txn.execute(
|
|
update_sql,
|
|
updatevalues.values() + keyvalues.values()
|
|
)
|
|
|
|
if txn.rowcount == 0:
|
|
raise StoreError(404, "No row found")
|
|
if txn.rowcount > 1:
|
|
raise StoreError(500, "More than one row matched")
|
|
|
|
def _simple_select_one_txn(self, txn, table, keyvalues, retcols,
|
|
allow_none=False):
|
|
select_sql = "SELECT %s FROM %s WHERE %s" % (
|
|
", ".join(retcols),
|
|
table,
|
|
" AND ".join("%s = ?" % (k,) for k in keyvalues)
|
|
)
|
|
|
|
txn.execute(select_sql, keyvalues.values())
|
|
|
|
row = txn.fetchone()
|
|
if not row:
|
|
if allow_none:
|
|
return None
|
|
raise StoreError(404, "No row found")
|
|
if txn.rowcount > 1:
|
|
raise StoreError(500, "More than one row matched")
|
|
|
|
return dict(zip(retcols, row))
|
|
|
|
def _simple_selectupdate_one(self, table, keyvalues, updatevalues=None,
|
|
retcols=None, allow_none=False,
|
|
desc="_simple_selectupdate_one"):
|
|
""" Combined SELECT then UPDATE."""
|
|
def func(txn):
|
|
ret = None
|
|
if retcols:
|
|
ret = self._simple_select_one_txn(
|
|
txn,
|
|
table=table,
|
|
keyvalues=keyvalues,
|
|
retcols=retcols,
|
|
allow_none=allow_none,
|
|
)
|
|
|
|
if updatevalues:
|
|
self._simple_update_one_txn(
|
|
txn,
|
|
table=table,
|
|
keyvalues=keyvalues,
|
|
updatevalues=updatevalues,
|
|
)
|
|
|
|
# if txn.rowcount == 0:
|
|
# raise StoreError(404, "No row found")
|
|
if txn.rowcount > 1:
|
|
raise StoreError(500, "More than one row matched")
|
|
|
|
return ret
|
|
return self.runInteraction(desc, func)
|
|
|
|
def _simple_delete_one(self, table, keyvalues, desc="_simple_delete_one"):
|
|
"""Executes a DELETE query on the named table, expecting to delete a
|
|
single row.
|
|
|
|
Args:
|
|
table : string giving the table name
|
|
keyvalues : dict of column names and values to select the row with
|
|
"""
|
|
sql = "DELETE FROM %s WHERE %s" % (
|
|
table,
|
|
" AND ".join("%s = ?" % (k, ) for k in keyvalues)
|
|
)
|
|
|
|
def func(txn):
|
|
txn.execute(sql, keyvalues.values())
|
|
if txn.rowcount == 0:
|
|
raise StoreError(404, "No row found")
|
|
if txn.rowcount > 1:
|
|
raise StoreError(500, "more than one row matched")
|
|
return self.runInteraction(desc, func)
|
|
|
|
def _simple_delete(self, table, keyvalues, desc="_simple_delete"):
|
|
"""Executes a DELETE query on the named table.
|
|
|
|
Args:
|
|
table : string giving the table name
|
|
keyvalues : dict of column names and values to select the row with
|
|
"""
|
|
|
|
return self.runInteraction(desc, self._simple_delete_txn)
|
|
|
|
def _simple_delete_txn(self, txn, table, keyvalues):
|
|
sql = "DELETE FROM %s WHERE %s" % (
|
|
table,
|
|
" AND ".join("%s = ?" % (k, ) for k in keyvalues)
|
|
)
|
|
|
|
return txn.execute(sql, keyvalues.values())
|
|
|
|
def _simple_max_id(self, table):
|
|
"""Executes a SELECT query on the named table, expecting to return the
|
|
max value for the column "id".
|
|
|
|
Args:
|
|
table : string giving the table name
|
|
"""
|
|
sql = "SELECT MAX(id) AS id FROM %s" % table
|
|
|
|
def func(txn):
|
|
txn.execute(sql)
|
|
max_id = self.cursor_to_dict(txn)[0]["id"]
|
|
if max_id is None:
|
|
return 0
|
|
return max_id
|
|
|
|
return self.runInteraction("_simple_max_id", func)
|
|
|
|
def get_next_stream_id(self):
|
|
with self._next_stream_id_lock:
|
|
i = self._next_stream_id
|
|
self._next_stream_id += 1
|
|
return i
|
|
|
|
|
|
class _RollbackButIsFineException(Exception):
|
|
""" This exception is used to rollback a transaction without implying
|
|
something went wrong.
|
|
"""
|
|
pass
|
|
|
|
|
|
class Table(object):
|
|
""" A base class used to store information about a particular table.
|
|
"""
|
|
|
|
table_name = None
|
|
""" str: The name of the table """
|
|
|
|
fields = None
|
|
""" list: The field names """
|
|
|
|
EntryType = None
|
|
""" Type: A tuple type used to decode the results """
|
|
|
|
_select_where_clause = "SELECT %s FROM %s WHERE %s"
|
|
_select_clause = "SELECT %s FROM %s"
|
|
_insert_clause = "REPLACE INTO %s (%s) VALUES (%s)"
|
|
|
|
@classmethod
|
|
def select_statement(cls, where_clause=None):
|
|
"""
|
|
Args:
|
|
where_clause (str): The WHERE clause to use.
|
|
|
|
Returns:
|
|
str: An SQL statement to select rows from the table with the given
|
|
WHERE clause.
|
|
"""
|
|
if where_clause:
|
|
return cls._select_where_clause % (
|
|
", ".join(cls.fields),
|
|
cls.table_name,
|
|
where_clause
|
|
)
|
|
else:
|
|
return cls._select_clause % (
|
|
", ".join(cls.fields),
|
|
cls.table_name,
|
|
)
|
|
|
|
@classmethod
|
|
def insert_statement(cls):
|
|
return cls._insert_clause % (
|
|
cls.table_name,
|
|
", ".join(cls.fields),
|
|
", ".join(["?"] * len(cls.fields)),
|
|
)
|
|
|
|
@classmethod
|
|
def decode_single_result(cls, results):
|
|
""" Given an iterable of tuples, return a single instance of
|
|
`EntryType` or None if the iterable is empty
|
|
Args:
|
|
results (list): The results list to convert to `EntryType`
|
|
Returns:
|
|
EntryType: An instance of `EntryType`
|
|
"""
|
|
results = list(results)
|
|
if results:
|
|
return cls.EntryType(*results[0])
|
|
else:
|
|
return None
|
|
|
|
@classmethod
|
|
def decode_results(cls, results):
|
|
""" Given an iterable of tuples, return a list of `EntryType`
|
|
Args:
|
|
results (list): The results list to convert to `EntryType`
|
|
|
|
Returns:
|
|
list: A list of `EntryType`
|
|
"""
|
|
return [cls.EntryType(*row) for row in results]
|
|
|
|
@classmethod
|
|
def get_fields_string(cls, prefix=None):
|
|
if prefix:
|
|
to_join = ("%s.%s" % (prefix, f) for f in cls.fields)
|
|
else:
|
|
to_join = cls.fields
|
|
|
|
return ", ".join(to_join)
|
|
|
|
|
|
class JoinHelper(object):
|
|
""" Used to help do joins on tables by looking at the tables' fields and
|
|
creating a list of unique fields to use with SELECTs and a namedtuple
|
|
to dump the results into.
|
|
|
|
Attributes:
|
|
tables (list): List of `Table` classes
|
|
EntryType (type)
|
|
"""
|
|
|
|
def __init__(self, *tables):
|
|
self.tables = tables
|
|
|
|
res = []
|
|
for table in self.tables:
|
|
res += [f for f in table.fields if f not in res]
|
|
|
|
self.EntryType = namedtuple("JoinHelperEntry", res)
|
|
|
|
def get_fields(self, **prefixes):
|
|
"""Get a string representing a list of fields for use in SELECT
|
|
statements with the given prefixes applied to each.
|
|
|
|
For example::
|
|
|
|
JoinHelper(PdusTable, StateTable).get_fields(
|
|
PdusTable="pdus",
|
|
StateTable="state"
|
|
)
|
|
"""
|
|
res = []
|
|
for field in self.EntryType._fields:
|
|
for table in self.tables:
|
|
if field in table.fields:
|
|
res.append("%s.%s" % (prefixes[table.__name__], field))
|
|
break
|
|
|
|
return ", ".join(res)
|
|
|
|
def decode_results(self, rows):
|
|
return [self.EntryType(*row) for row in rows]
|