- What Grafana version and what operating system are you using?
v9.2.2 -
What are you trying to achieve?
Create Time series Panel with data in MySQL having indexed time column and filtering on small time interval -
How are you trying to achieve it?
indexed time column and filtering on small time interval - but needs long time to respond
using additional view on same data with filter on one day - resond is much more faster
similar access via SQL filter via Excel on same db responds within 2 seconds, so very fast - What happened?
long time needed to get data view - What did you expect to happen?
to be faster, similar as excel - Can you copy/paste the configuration(s) that you are having problems with?
one db with 2 mio data rows and 63 columns, indexed on timestamp-column
Timeseries is created with:
SELECT time,PVPower,Gridpower,Battpower FROM db ODER BY time ASC - Did you receive any errors in the Grafana UI or in related logs? If so, please tell us exactly what they were.
no - Did you follow any online instructions? If so, what is the URL?
I have 2 millions records on 63 column, usually one record every 5 seconds.
I am using
SELECT time,PVPower,Gridpower,Battpower FROM db ODER BY time ASC
to fetch the data for display, and using filter within grafana to show last 6 hours.
Respond time is approximately 40 sec.
I do the exact same within excel, using a connection to the MySQL-Server and adding the filter to the sql
SELECT * FROM db WHERE time BETWEEN ā2022-10-28 00:00:00ā AND ā2022-10-29 00:00:00ā;
which responds with the data within 2 seconds.
Right now i am using the trick to have an additional view in MySQL which filters the amount of data to the last day only, which speeds up the respond but is not what i preferā¦ as this would disable and view on older data in the same panel.
Also i can use a
WHERE time BETWEEN ā2022-10-30 00:00:00ā AND ā2022-10-31 00:00:00ā
in the sql statement which will also speed up the respond. My assumption would have been that grafana is doing exactly this kind of where-clause to fetch the data?
So what am i doing wrongā¦ shouldnāt the amount of data transferred and the process of selecting data be the same as i do with excel?
Maybe i am missing a trick here, how to connect more sophisticated to the mysql-dbā¦ any hint would be very much appreciated.