def register_cache(name, cache):
caches_by_name[name] = cache
return metrics.register_cache(
"cache",
lambda: len(cache),
name,
)
def register_cache(name, cache):
caches_by_name[name] = cache
return metrics.register_cache(
"cache",
lambda: len(cache),
name,
)
sql_logger = logging.getLogger("synapse.storage.SQL")
transaction_logger = logging.getLogger("synapse.storage.txn")
perf_logger = logging.getLogger("synapse.storage.TIME")
metrics = synapse.metrics.get_metrics_for("synapse.storage")
sql_scheduling_timer = metrics.register_distribution("schedule_time")
sql_query_timer = metrics.register_distribution("query_time", labels=["verb"])
sql_txn_timer = metrics.register_distribution("transaction_time", labels=["desc"])
caches_by_name = {}
cache_counter = metrics.register_cache(
"cache",
lambda: {(name,): len(caches_by_name[name]) for name in caches_by_name.keys()},
labels=["name"],
)
class Cache(object):
def __init__(self, name, max_entries=1000, keylen=1, lru=False):
if lru:
self.cache = LruCache(max_size=max_entries)
self.max_entries = None
else:
self.cache = OrderedDict()
self.max_entries = max_entries
self.name = name
# limitations under the License.
import synapse.metrics
from lrucache import LruCache
import os
CACHE_SIZE_FACTOR = float(os.environ.get("SYNAPSE_CACHE_FACTOR", 0.1))
DEBUG_CACHES = False
metrics = synapse.metrics.get_metrics_for("synapse.util.caches")
caches_by_name = {}
cache_counter = metrics.register_cache(
"cache",
lambda: {(name,): len(caches_by_name[name]) for name in caches_by_name.keys()},
labels=["name"],
)
_string_cache = LruCache(int(5000 * CACHE_SIZE_FACTOR))
caches_by_name["string_cache"] = _string_cache
KNOWN_KEYS = {
key: key for key in
(
"auth_events",
"content",
"depth",
"event_id",
"hashes",
