You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@phoenix.apache.org by "Daniel Wong (Jira)" <ji...@apache.org> on 2020/10/03 08:14:00 UTC
[jira] [Created] (PHOENIX-6174) Phoenix Metrics Initial Unification
Daniel Wong created PHOENIX-6174:
------------------------------------
Summary: Phoenix Metrics Initial Unification
Key: PHOENIX-6174
URL: https://issues.apache.org/jira/browse/PHOENIX-6174
Project: Phoenix
Issue Type: Improvement
Affects Versions: 5.1.0, 4.x
Reporter: Daniel Wong
I see this as an incremental improvement toward a larger more powerful metrics framework in phoenix-server, phoenix-client, and phoenix-connectors. Today we describe our available metrics as https://phoenix.apache.org/metrics.html
Long term a tag based multi-dimensional data model (similar to prometheus/open tsdb) may be superior but for now this targets simple generalization of the existing metrics in phoenix. Today much of the metrics are built on hbase/hadoop offering.
Some initial discussion/brainstorming:
Metric Types:
Phoenix uses/provides sufficient verbosity of metrics, but does not define the metric types cleanly. Typical counter, gauge, histogram
Monitoring Models:
Events (Event Metrics), metrics with no summarization or aggregation.
Example of this will be request metrics. On this request you used 5 scanners.
Metrics (Summary/Aggregated Metrics),
Example of this might be total queries
Reporting:
Today JMX is one of the main approaches used in phoenix for metrics. For events most of them are retrievable from PhoenixRuntime. Long term these should be pluggable.
Storage:
End user based on reporting is envisioned.
May consider storing in HBase/Phoenix as an option? The query log could store events with that query log entry.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)