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Add a metric for the scheduling latency of SQL queries

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This commit is contained in:
Paul "LeoNerd" Evans 2015-03-16 17:21:59 +00:00
parent cd2539ab2a
commit be170b1426
1 changed files with 5 additions and 0 deletions
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5
synapse/storage/_base.py
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@ -38,6 +38,8 @@ transaction_logger = logging.getLogger("synapse.storage.txn")
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"])
sql_getevents_timer = metrics.register_distribution("getEvents_time", labels=["desc"])
@ -240,6 +242,8 @@ class SQLBaseStore(object):
"""Wraps the .runInteraction() method on the underlying db_pool."""
current_context = LoggingContext.current_context()
start_time = time.time() * 1000
def inner_func(txn, *args, **kwargs):
with LoggingContext("runInteraction") as context:
current_context.copy_to(context)
@ -252,6 +256,7 @@ class SQLBaseStore(object):
name = "%s-%x" % (desc, txn_id, )
sql_scheduling_timer.inc_by(time.time() * 1000 - start_time)
transaction_logger.debug("[TXN START] {%s}", name)
try:
return func(LoggingTransaction(txn, name), *args, **kwargs)