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timescaledb-insert-benchmarks reviews and mentions
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Loading a trillion rows of weather data into TimescaleDB
The full dataset is quite huge (~9 petabytes and growing) out of which I'm using just ~8 terabytes. Still quite big to upload.
The data is freely available from the [Climate Change Service](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysi...) which has a nice API but download speeds can be a bit slow.
[NCAR's Research Data Archive](https://rda.ucar.edu/datasets/ds633-0/) provides some of the data (as pre-generated NetCDF files) but at higher download speeds.
It's not super well documented but I hosted the Python scripts I used to download the data on the accompanying GitHub repository: https://github.com/ali-ramadhan/timescaledb-insert-benchmark...
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ali-ramadhan/timescaledb-insert-benchmarks is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of timescaledb-insert-benchmarks is Python.
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