powa
PostgreSQL Workload Analyzer (by powa-team)
pg_wait_sampling
Sampling based statistics of wait events (by postgrespro)
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powa | pg_wait_sampling | |
---|---|---|
1 | 3 | |
755 | 132 | |
1.7% | 0.8% | |
7.0 | 5.6 | |
13 days ago | 6 months ago | |
C | ||
PostgreSQL License | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
powa
Posts with mentions or reviews of powa.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-11.
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Moving from Oracle to Postgres, what should I know?
pg_wait_sampling together with pg_stat_statements gets you nearer to Oracle's ASH/AWR capabilities. PoWA can integrate that (and other interesting extensions) to generate some nice reports.
pg_wait_sampling
Posts with mentions or reviews of pg_wait_sampling.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-11.
-
Moving from Oracle to Postgres, what should I know?
pg_wait_sampling together with pg_stat_statements gets you nearer to Oracle's ASH/AWR capabilities. PoWA can integrate that (and other interesting extensions) to generate some nice reports.
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[RDS] Huge spikes in CPU Usage, but the Freeable Memory remains high. How do I configure my DB to use more memory?
Another Another source of high CPU could be wait events. There are no built-in tools in Postgres to monitor them (unless RDS provides some). The approach I'd take on a "regular" Postgres installation is to sample the content of pg_stat_activity and then later analyze that after spikes have occurred. There are several extensions that already provide this, e.g. pg_profile or pg_wait_sampling or pgsentinel
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Any Tips for Analyzing (Concurrent) Transaction Performance?
pg_wait_sampling
What are some alternatives?
When comparing powa and pg_wait_sampling you can also consider the following projects:
pgbadger - A fast PostgreSQL Log Analyzer
pg_profile - Postgres historic workload reports
pgBackRest - Reliable PostgreSQL Backup & Restore
pg_show_plans - Show query plans of all currently running SQL statements
pgsentinel - postgresql extension providing Active session history
hstr - bash and zsh shell history suggest box - easily view, navigate, search and manage your command history.
bg_mon - Background worker for monitoring PostgreSQL