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https://issues.apache.org/jira/browse/BEAM-10791?focusedWorklogId=478698&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-478698
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ASF GitHub Bot logged work on BEAM-10791:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 03/Sep/20 17:01
Start Date: 03/Sep/20 17:01
Worklog Time Spent: 10m
Work Description: ajamato commented on a change in pull request #12754:
URL: https://github.com/apache/beam/pull/12754#discussion_r483126531
##########
File path: sdks/python/apache_beam/io/gcp/bigquery.py
##########
@@ -1198,8 +1209,34 @@ def process(self, element, *schema_side_inputs):
return self._flush_all_batches()
def finish_bundle(self):
+ current_millis = int(time.time() * 1000)
+ if BigQueryWriteFn.LATENCY_LOGGING_LOCK.acquire(False):
+ try:
+ if (BigQueryWriteFn.LATENCY_LOGGING_HISTOGRAM.total_count() > 0 and
+ (current_millis -
+ BigQueryWriteFn.LATENCY_LOGGING_LAST_REPORTED_MILLIS) >
+ self._latency_logging_frequency * 1000):
+ self._log_percentiles()
+ BigQueryWriteFn.LATENCY_LOGGING_HISTOGRAM.clear()
Review comment:
Is there a reason why you clear? I think we need to have a good sample
of elements over a period of time to a decent latency breakdown. This seems
like it will be cleared quite frequently.
In the metric case we will just pass it all to stackdriver, and it can
basically get these latencies over a sliding window. I.e. at each minute show
the 50, 95, 99th percentile latencies for the last 10 minute window.
In the logging case, we would like to have something similar. I'm not saying
you need to make such a complex calculation to move things in and out of the
window.
Though, maybe this is perfectly fine, for 180 seconds we can probably record
a decent number of requests.
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Issue Time Tracking
-------------------
Worklog Id: (was: 478698)
Time Spent: 40m (was: 0.5h)
> Identify and log additional information needed to debug streaming insert
> requests for Python SDK
> ------------------------------------------------------------------------------------------------
>
> Key: BEAM-10791
> URL: https://issues.apache.org/jira/browse/BEAM-10791
> Project: Beam
> Issue Type: Improvement
> Components: io-py-gcp
> Reporter: Heejong Lee
> Assignee: Heejong Lee
> Priority: P2
> Time Spent: 40m
> Remaining Estimate: 0h
>
> implement logging for per worker statistics:
> - Request count - for that window.
> - Error codes + number of occurrences for that window (Or perhaps just log
> each error with as much detail as possible.)
> - Tail latencies of requests (50, 90 and 99, percentiles)
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