Re: impact of auto explain on overall performance - Mailing list pgsql-performance

From Justin Pryzby
Subject Re: impact of auto explain on overall performance
Date
Msg-id 20190314082300.GC6030@telsasoft.com
Whole thread Raw
In response to impact of auto explain on overall performance  (Stephan Schmidt <schmidt@dltmail.de>)
Responses Re: impact of auto explain on overall performance
List pgsql-performance
On Thu, Mar 14, 2019 at 07:29:17AM +0000, Stephan Schmidt wrote:
> i’m currently working on a high Performance Database and want to make sure that whenever there are slow queries
duringregular operations i’ve got all Information about the query in my logs. So auto_explain come to mind, but the
documentationexplicitly states that it Comes at a cost. My Question is, how big is the latency added by auto_explain in
percentageor ms ?
 

https://www.postgresql.org/docs/current/auto-explain.html
|log_analyze
...
|When this parameter is on, per-plan-node timing occurs for all statements executed, whether or not they run long
enoughto actually get logged. This can have an extremely negative impact on performance. Turning off
auto_explain.log_timingameliorates the performance cost, at the price of obtaining less information.
 

|auto_explain.log_timing (boolean)
|auto_explain.log_timing controls whether per-node timing information is printed when an execution plan is logged; it's
equivalentto the TIMING option of EXPLAIN. The overhead of repeatedly reading the system clock can slow down queries
significantlyon some systems, so it may be useful to set this parameter to off when only actual row counts, and not
exacttimes, are needed. This parameter has no effect unless auto_explain.log_analyze is enabled. This parameter is on
bydefault. Only superusers can change this setting.
 

I believe the cost actually varies significantly with the type of plan "node",
with "nested loops" incurring much higher overhead.

I think you could compare using explain(analyze) vs explain(analyze,timing
off).  While you're at it, compare without explain at all.

I suspect the overhead is inconsequential if you set log_timing=off and set
log_min_duration such that only the slowest queries are logged.

Then, you can manually run "explain (analyze,costs on)" on any problematic
queries to avoid interfering with production clients.

Justin


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