Closed peterdudfield closed 1 year ago
Currently there are '132,756,148' rows in the forecast value table. This is about
= 150 million rows
Would be good to partittion per month, so that we have about 25 million in each table
Good to also try clustering - 'CLUSTER forecast_value using ix_forecast_value_target_time' as this will also speed things up
tried in #109
and upgraded in
Would be good to partition on forecast_value table as it getting to big
useful blogs