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As a quick test of Mirror’s write performance, we ran a pipeline of each size backfilling Ethereum blocks data (~18.5M rows as of October 23, 2023) with an unmodified schema.
This test was performed on a 720 GiB RAM, 180 vCPU ClickHouse Cloud instance to ensure that non-pipeline factors (eg. disk IO, available memory, CPU cores) do not act as a bottleneck.
Each test was run on a completely clean instance (ie. no existing tables) with no other queries or commands running on the database.
Results
| Pipeline size | Peak (rows/m) | Time to backfill |
|---|
| S | 350,000 | 53min |
| M | 950,000 | 20min |
| L | 2,100,000 | 9min |
| XL | 3,500,000 | ~5min |
| XXL | 6,300,000 | 3min |
