sqlite_protobuf
duckdb
sqlite_protobuf | duckdb | |
---|---|---|
2 | 52 | |
80 | 16,749 | |
- | 4.5% | |
0.0 | 10.0 | |
over 1 year ago | 5 days ago | |
C++ | C++ | |
MIT License | MIT License |
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sqlite_protobuf
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One-liner for running queries against CSV files with SQLite
SQLite's virtual table API (https://www.sqlite.org/vtab.html) makes it possible to access other data structures through the query engine. You don't need to know much if anything about how the database engine executes queries, you only need to implement the callbacks it needs to do its job. A few years ago I wrote an extension to let me search through serialized Protobufs which were stored as blobs in a regular database.
https://github.com/rgov/sqlite_protobuf
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SQLite Plus: all the missing SQLite functions
Some time ago I joined a project that was recording logs in Protobuf format. I demonstrated that we could log the serialized Protobuf structures to a SQLite database and then use a plugin to query across the message fields: https://github.com/rgov/sqlite_protobuf
Learning how to use the SQLite extension API was a little mind-expanding but it worked like a charm.
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.
[1] https://github.com/bacalhau-project/bacalhau
[2] https://github.com/duckdb/duckdb
- 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?
dflat - Structured Data Store for Mobile
ClickHouse - ClickHouse® is a free analytics DBMS for big data
sqlite_ora_functions
sqlite-worker - A simple, and persistent, SQLite database for Web and Workers.
sqlite-plus - The ultimate set of SQLite extensions
datasette - An open source multi-tool for exploring and publishing data
sqlite-parquet-vtable - A SQLite vtable extension to read Parquet files
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
visidata - A terminal spreadsheet multitool for discovering and arranging data
metabase-clickhouse-driver - ClickHouse database driver for the Metabase business intelligence front-end
json2csv - Convert json to csv with column titles
datafusion - Apache DataFusion SQL Query Engine