- pandahub version: 0.2.2
- Python version: 3.9
- Operating System: Windows 10
Description
I was wondering, if the Pandahub method "bulk_get_timeseries_from_db" is needed anymore. multi_get_timeseries_from_db also serves the purpose to retrieve multiple timeseries at once. The difference is, that "bulk_get_timeseries_from_db" aggregates the timeseries data directly on the database. However it is my experience, that the used MongoDB aggregations are rather complex, hard to debug and resource consuming on the database server. For most use-cases it is more efficient and less complex, to aggregate the data on the client side.
Are there any important use-cases, where it is important to use as little computing as possible client-side, that justifiy maintaining this code?
Description
I was wondering, if the Pandahub method "bulk_get_timeseries_from_db" is needed anymore. multi_get_timeseries_from_db also serves the purpose to retrieve multiple timeseries at once. The difference is, that "bulk_get_timeseries_from_db" aggregates the timeseries data directly on the database. However it is my experience, that the used MongoDB aggregations are rather complex, hard to debug and resource consuming on the database server. For most use-cases it is more efficient and less complex, to aggregate the data on the client side.
Are there any important use-cases, where it is important to use as little computing as possible client-side, that justifiy maintaining this code?