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Add query execution time histogram (#10050)

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## Problem


It will be useful to understand what kind of queries our clients are
executed.
And one of the most important characteristic of query is query execution
time - at least it allows to distinguish OLAP and OLTP queries. Also
monitoring query execution time can help to detect problem with
performance (assuming that workload is more or less stable).

## Summary of changes

Add query execution time histogram.

---------

Co-authored-by: Konstantin Knizhnik <knizhnik@neon.tech>
This commit is contained in:
Konstantin Knizhnik
2025-06-05 11:23:39 +00:00
committed by GitHub
co-authored by Konstantin Knizhnik
parent 1577665c20
commit 6123fe2d5e
4 changed files with 208 additions and 23 deletions
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test_runner/regress/test_compute_metrics.py
+5
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@@ -466,8 +466,13 @@ def test_perf_counters(neon_simple_env: NeonEnv):
#
# 1.5 is the minimum version to contain these views.
cur.execute("CREATE EXTENSION neon VERSION '1.5'")
cur.execute("set neon.monitor_query_exec_time = on")
cur.execute("SELECT * FROM neon_perf_counters")
cur.execute("SELECT * FROM neon_backend_perf_counters")
cur.execute(
"select value from neon_backend_perf_counters where metric='query_time_seconds_count' and pid=pg_backend_pid()"
)
assert cur.fetchall()[0][0] == 2
def collect_metric(