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Comment · 1 year ago
Comment · 1 year ago
Comment · 1 year ago
You can use DuckDB in ipython to solve the globbing issue. Then you don't have to worry about OOMs with geopandas.
Comment · 2 years ago
My workload is 100% read. Querying zstd parquet on s3 standard. Neither clickhouse nor duckdb has a great s3 driver, which is why smart people like https://www.boilingdata.com/ wrote their own. I compared a handful of queries and found DuckDB makes a lot of round trips and Clickhouse takes the opposite approach and just reads the entire parquet file.
Comment · 2 years ago
I'm doing this with clickhouse querying parquet files on S3 from an EC2 instance in the same region as the S3 bucket (yes DuckDB pretty similar). S3 time to first byte within AWS is 50ms and I get close to saturating an big EC2 instance's 100Gb link doing reads. For OLTP type queries fetching under 1 MB you'll see ~4 round trips + transfer time of compressed data so 150-200 ms latency.
Comment · 2 years ago
Comment · 2 years ago
For $1,500 per TB per month? No thanks.
Comment · 2 years ago
Should be a tax advantage to the non-grind income. $920k with 20% fed + 5% state capital gains tax?
Comment · 2 years ago
Could you use this to create 100s of on-demand read replicas and get 100s of GB/s out of S3? Seems like a nice way to cheaply and quickly do batch jobs.
Comment · 2 years ago
Comment · 2 years ago
Comment · 4 years ago
Comment · 6 years ago

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