WebDec 1, 2024 · For example, if Device 1 is at Timestamp 1, and Device 2 is at Timestamp 2, the at most late arrival tolerance is Timestamp 2 minus Timestamp 1. The default setting is 5 seconds and is likely too small for devices with divergent timestamps. We recommend that you start with 5 minutes and make adjustments according to their device clock skew … WebDec 29, 2024 · Type 1: CPU-bound (runner) If the CPU time is close, equal to, or higher than the elapsed time, you can treat it as a CPU-bound query. For example, if the elapsed time is 3000 milliseconds (ms) and the CPU time is 2900 ms, that means most of the elapsed time is spent on the CPU. Then we can say it's a CPU-bound query.
Timestamping error/or comptuer too slow with gstreamer
WebAug 23, 2024 · Using PostgreSQL slow query log to troubleshoot the performance. Step 1 – Open postgresql.conf file in your favorite text editor ( In Ubuntu, postgreaql.conf is available on /etc/postgresql/ ) and update configuration parameter log_min_duration_statement , By default configuration the slow query log is not active, To enable the slow query log ... WebDec 27, 2024 · Because the query has changed, it shows as a different query in PGanalyse, hence this old slow one is no longer being called. Lesson learned: if you have a slow query, check if it is (and if needs ... cox and cocktails
Log data ingestion time in Azure Monitor - Azure Monitor
WebMar 31, 2024 · One thing I also wanted to mentioned is that I forgot to add the DESC to the subquery. So both inner and outer queries had order by desc. So if 2) was true because of timestamp ASC, the original query without DESC should be able to run a lot faster, which isn't the case. Either order will produce slow results. WebDec 10, 2011 · Here is that list: Eliminating filesort by using indexes <<<---- (PLEASE NOTE THIS) datetime consumes 8 bytes whereas timestamp 4 bytes. So the query will be faster since the index size will be smaller. Apart from that timestamp has small range than date-time and hence can be called optimized datatype by default. WebSorted by: 2. Try this: import numpy from datetime import datetime npdt = numpy.datetime64 (datetime.utcnow ()) dt = npdt.astype (datetime) I found it to be an order of magnitude faster: from datetime import datetime import numpy import pandas import timeit foo = numpy.datetime64 (datetime.utcnow ()) print (foo.astype (datetime)) print (pandas ... disney oz the great and powerful variant