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How to change the retention policy time interval in Timescale DB?
Remove data retention policy: SELECT remove_retention_policy('conditions'); Add retention policy : SELECT add_retention_policy('conditions', INTERVAL '48 hours'); You can choose the time period for keeping the data before dropping in the time intervals of hypertable. Here we have given 48 hours.
Remove data retention policy:
SELECT remove_retention_policy('conditions');
Add retention policy :
SELECT add_retention_policy('conditions', INTERVAL '48 hours');
You can choose the time period for keeping the data before dropping in the time intervals of hypertable. Here we have given 48 hours.
See lessWhat is DAX in Power BI?
DAX means Data Analysis Expressions . It is a programming language in Power BI. It is used for creating calculated columns and custom tables. It contains operators, functions and formulas for performing calculation.
DAX means Data Analysis Expressions . It is a programming language in Power BI. It is used for creating calculated columns and custom tables. It contains operators, functions and formulas for performing calculation.
See lessGetting an error after updating to PostgreSQL version 11.
It shows unsupported version 1.14. Look for the version you have dumped and try using the same version and run the command pg_restore
It shows unsupported version 1.14. Look for the version you have dumped and try using the same version and run the command
See lesspg_restore
How to query using TIMESTAMP in PostgreSQL?
SELECT * FROM device WHERE device_created_at = CAST('2022-08-10 20:55:16.695' AS TIMESTAMP) considering date time as string.
considering date time as string.
See lessnp.sum function not working properly.
Using np.mean instead of np.sum might bring proper results.
Using
See lessnp.mean
instead ofnp.sum
might bring proper results.Need to convert Date Time into Time Zone Offset format in Power BI.
DateTime.ToText is the solution for this. 400 request is client side issue. Check your connectivity.
See lessDateTime.ToText
is the solution for this. 400 request is client side issue. Check your connectivity.Numpy not working with for loop and .loc function.
Remove 'apply' and try using np.floor() directly: np.floor(f1.loc[today,'QuantityNotRounded'])
Remove ‘apply’ and try using
See lessnp.floor()
directly: