hasql-th
duckdb
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| hasql-th | duckdb | |
|---|---|---|
| 4 | 52 | |
| 110 | 16,356 | |
| - | 9.5% | |
| 5.2 | 10.0 | |
| 4 months ago | 5 days ago | |
| Haskell | C++ | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
hasql-th
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How to use PostgreSQL with Haskell: hasql
Hasql is an ecosystem of libraries. To keep it simple, let’s limit ourselves to core hasql, hasql-transaction, and hasql-th. We’re using hasql 1.6.3.2 published in 2023.
- Parsing SQL
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Open Source SQL Parsers
There is also a Haskell port of the original PostgreSQL parser, implemented using megaparsec, which makes it highly flexible and hackable: https://github.com/nikita-volkov/hasql-th#implementation
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Haskell doesn't make sense without pure functions
I'd consider hasql-th a good example in what concerns databases. Otherwise, I just use aeson together with deriving-aeson and lens-aeson.
duckdb
- 🪄 DuckDB sql hack : get things SORTED w/ constraint CHECK
- DuckDB: Move to push-based execution model (2021)
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DuckDB performance improvements with the latest release
I'm not sure if the fix is reassuring or not: https://github.com/duckdb/duckdb/pull/9411/files
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Building a Distributed Data Warehouse Without Data Lakes
It's an interesting question!
The problem is that the data is spread everywhere - no choice about that. So with that in mind, how do you query that data? Today, the idea is that you HAVE to put it into a central location. With tools like Bacalhau[1] and DuckDB [2], you no longer have to - a single query can be sharded amongst all your data - EFFECTIVELY giving you a lot of what you want from a data lake.
It's not a replacement, but if you can do a few of these items WITHOUT moving the data, you will be able to see really significant cost and time savings.
- DuckDB 0.9.0
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Push or Pull, is this a question?
[4] Switch to Push-Based Execution Model by Mytherin · Pull Request #2393 · duckdb/duckdb (github.com)
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Show HN: Hydra 1.0 – open-source column-oriented Postgres
it depends on your query obviously.
In general, I did very deep benchmarking of pg, clickhouse and duckdb, and I sure didn't make stupid mistakes like this: https://news.ycombinator.com/item?id=36990831
My dataset has 50B rows and 2tb of data, and I think columnar dbs are very overhiped and I chose pg because:
- pg performance is acceptable, maybe 2-3x times slower than clickhouse and duckdb on some queries if pg is configured correctly and run on compressed storage
- clickhouse and duckdb start falling apart very fast because they specialized on very narrow type of queries: https://github.com/ClickHouse/ClickHouse/issues/47520 https://github.com/ClickHouse/ClickHouse/issues/47521 https://github.com/duckdb/duckdb/discussions/6696
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🦆 Effortless Data Quality w/duckdb on GitHub ♾️
This action installs duckdb with the version provided in input.
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Using SQL inside Python pipelines with Duckdb, Glaredb (and others?)
Duckdb: https://github.com/duckdb/duckdb - seems pretty popular, been keeping an eye on this for close to a year now.
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CSV or Parquet File Format
The Parquet-Go library is very complex, not yet success to use it. So I ask whether DuckDB can provide API https://github.com/duckdb/duckdb/issues/7776
What are some alternatives?
Neks - A dead simple networked key/value store
ClickHouse - ClickHouse® is a free analytics DBMS for big data
tokyocabinet-haskell - This repository will get archived soon. Please visit https://git.singpolyma.net/tokyocabinet-haskell
sqlite-worker - A simple, and persistent, SQLite database for Web and Workers.
hasql - The fastest PostgreSQL libpq-based driver for Haskell
datasette - An open source multi-tool for exploring and publishing data
wai-middleware-cache-redis - Redis backend for wai-middleware-cache
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
ampersand - Build database applications faster than anyone else, and keep your data pollution free as a bonus.
metabase-clickhouse-driver - ClickHouse database driver for the Metabase business intelligence front-end
hasql-notifications - Use PostgreSQL LISTEN/NOTIFY with your Hasql Types
arrow-datafusion - Apache DataFusion SQL Query Engine