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sync_es: fix flush_interval behavior during slow times
instead of flushing every N seconds, it flushed N seconds after the last change, which could drag out to N seconds * M batch size if there are few updates. Practically this doesn't change anything since stuff is always happening. Also fix not writing a save point if nothing is happening. Also practically does nothing, but for correctness.
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33852a55bf
commit
eceb8824dc
31
sync_es.py
31
sync_es.py
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@ -263,25 +263,29 @@ class EsPoster(ExitingThread):
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last_save = time.time()
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last_save = time.time()
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since_last = 0
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since_last = 0
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# XXX keep track of last posted position for save points, awkward
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posted_log_file = None
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posted_log_pos = None
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while True:
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while True:
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actions = []
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actions = []
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while len(actions) < self.chunk_size:
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now = time.time()
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# wait up to flush_interval seconds after starting the batch
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deadline = now + self.flush_interval
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while len(actions) < self.chunk_size and now < deadline:
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timeout = deadline - now
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try:
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try:
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# grab next event from queue with metadata that creepily
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# grab next event from queue with metadata that creepily
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# updates, surviving outside the scope of the loop
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# updates, surviving outside the scope of the loop
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((log_file, log_pos, timestamp), action) = \
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((log_file, log_pos, timestamp), action) = \
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self.read_buf.get(block=True, timeout=self.flush_interval)
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self.read_buf.get(block=True, timeout=timeout)
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actions.append(action)
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actions.append(action)
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now = time.time()
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except Empty:
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except Empty:
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# nothing new for the whole interval
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# nothing new for the whole interval
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break
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break
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if not actions:
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if actions:
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# nothing to post
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log.debug("no changes...")
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continue
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# XXX "time" to get histogram of no events per bulk
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# XXX "time" to get histogram of no events per bulk
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stats.timing('actions_per_bulk', len(actions))
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stats.timing('actions_per_bulk', len(actions))
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@ -300,17 +304,26 @@ class EsPoster(ExitingThread):
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except KeyError:
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except KeyError:
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raise bie
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raise bie
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# how far we've gotten in the actual log
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posted_log_file = log_file
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posted_log_pos = log_pos
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# how far we're behind, wall clock
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# how far we're behind, wall clock
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stats.gauge('process_latency', int((time.time() - timestamp) * 1000))
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stats.gauge('process_latency', int((time.time() - timestamp) * 1000))
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else:
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log.debug("no changes...")
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since_last += len(actions)
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since_last += len(actions)
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if since_last >= 10000 or (time.time() - last_save) > 10:
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# TODO instead of this manual timeout loop, could move this to another queue/thread
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if posted_log_file is not None and (since_last >= 10000 or (time.time() - last_save) > 10):
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log.info(f"saving position {log_file}/{log_pos}, {time.time() - timestamp:,.3f} seconds behind")
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log.info(f"saving position {log_file}/{log_pos}, {time.time() - timestamp:,.3f} seconds behind")
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with stats.timer('save_pos'):
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with stats.timer('save_pos'):
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with open(SAVE_LOC, 'w') as f:
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with open(SAVE_LOC, 'w') as f:
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json.dump({"log_file": log_file, "log_pos": log_pos}, f)
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json.dump({"log_file": posted_log_file, "log_pos": posted_log_pos}, f)
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last_save = time.time()
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last_save = time.time()
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since_last = 0
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since_last = 0
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posted_log_file = None
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posted_log_pos = None
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# in-memory queue between binlog and es. The bigger it is, the more events we
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# in-memory queue between binlog and es. The bigger it is, the more events we
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# can parse in memory while waiting for es to catch up, at the expense of heap.
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# can parse in memory while waiting for es to catch up, at the expense of heap.
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