sqlite_protobuf
xsv
sqlite_protobuf | xsv | |
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2 | 64 | |
80 | 10,089 | |
- | - | |
0.0 | 0.0 | |
over 1 year ago | 2 months ago | |
C++ | Rust | |
MIT License | The Unlicense |
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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.
xsv
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Show HN: TextQuery – Query and Visualize Your CSV Data in Minutes
I realize it's not really that comparable since these tools don't support SQL, but a more fully functioned CLI tool is - https://github.com/BurntSushi/xsv
They are both fairly good
- Qsv: Efficient CSV CLI Toolkit
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Joining CSV Data Without SQL: An IP Geolocation Use Case
I have done some similar, simpler data wrangling with xsv (https://github.com/BurntSushi/xsv) and jq. It could process my 800M rows in a couple of minutes (plus the time to read it out from the database =)
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Qsv: CSVs sliced, diced and analyzed (fork of xsv)
xsv, which seems to be why qsv was created.
[1] https://github.com/BurntSushi/xsv/issues/267
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I wrote this iCalendar (.ics) command-line utility to turn common calendar exports into more broadly compatible CSV files.
CSV utilities (still haven't pick a favorite one...): https://github.com/harelba/q https://github.com/BurntSushi/xsv https://github.com/wireservice/csvkit https://github.com/johnkerl/miller
- Icsp – Command-line iCalendar (.ics) to CSV parser
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ripgrep is faster than {grep, ag, git grep, ucg, pt, sift}
$ git remote -v origin [email protected]:rust-lang/rust (fetch) origin [email protected]:rust-lang/rust (push) $ git rev-parse HEAD 3b0d4813ab461ec81eab8980bb884691c97c5a35 $ time grep -ri burntsushi ./ ./src/tools/cargotest/main.rs: repo: "https://github.com/BurntSushi/ripgrep", ./src/tools/cargotest/main.rs: repo: "https://github.com/BurntSushi/xsv", grep: ./target/debug/incremental/cargotest-2dvu4f2km9e91/s-gactj3ma2j-1b10l4z-2l60ur55ixe6n/query-cache.bin: binary file matches grep: ./target/debug/incremental/cargotest-38cpmhhbdgdyq/s-gactj3luwq-1o12vgp-t61hd8qdyp7t/query-cache.bin: binary file matches grep: ./target/debug/incremental/cargotest-17632op6djxne/s-gawuq5468i-1h69nfw-4gm0s8yhhiun/query-cache.bin: binary file matches grep: ./target/debug/incremental/cargotest-2trm4kt5yom3r/s-gawuq53qqg-bjiezj-lo0gha8ign8w/query-cache.bin: binary file matches grep: ./target/debug/deps/libregex_automata-c74a6d9fd0abd77b.rmeta: binary file matches grep: ./target/debug/deps/libsame_file-a0e0363a2985455d.rlib: binary file matches grep: ./target/debug/deps/libsame_file-a0e0363a2985455d.rmeta: binary file matches grep: ./target/debug/deps/libsame_file-7251d8d3586a319b.rmeta: binary file matches grep: ./build/x86_64-unknown-linux-gnu/stage0-sysroot/lib/rustlib/x86_64-unknown-linux-gnu/lib/libaho_corasick-999a08e2b700420d.rlib: binary file matches grep: ./build/x86_64-unknown-linux-gnu/stage0-sysroot/lib/rustlib/x86_64-unknown-linux-gnu/lib/libregex_automata-0d168be5d25b3ac5.rlib: binary file matches grep: ./build/x86_64-unknown-linux-gnu/stage0-tools/x86_64-unknown-linux-gnu/release/deps/libregex_automata-7d6bec0156f15da1.rlib: binary file matches grep: ./build/x86_64-unknown-linux-gnu/stage0-tools/x86_64-unknown-linux-gnu/release/deps/libregex_automata-7d6bec0156f15da1.rmeta: binary file matches grep: ./build/x86_64-unknown-linux-gnu/stage0-tools/x86_64-unknown-linux-gnu/release/deps/libaho_corasick-07dee4514b87d99b.rmeta: binary file matches grep: ./build/x86_64-unknown-linux-gnu/stage0-tools/x86_64-unknown-linux-gnu/release/deps/libaho_corasick-07dee4514b87d99b.rlib: binary file matches grep: ./build/x86_64-unknown-linux-gnu/stage0-rustc/x86_64-unknown-linux-gnu/release/deps/libaho_corasick-999a08e2b700420d.rlib: binary file matches grep: ./build/x86_64-unknown-linux-gnu/stage0-rustc/x86_64-unknown-linux-gnu/release/deps/libaho_corasick-999a08e2b700420d.rmeta: binary file matches grep: ./build/x86_64-unknown-linux-gnu/stage0-rustc/x86_64-unknown-linux-gnu/release/deps/libregex_automata-0d168be5d25b3ac5.rlib: binary file matches grep: ./build/x86_64-unknown-linux-gnu/stage0-rustc/x86_64-unknown-linux-gnu/release/deps/libregex_automata-0d168be5d25b3ac5.rmeta: binary file matches grep: ./build/bootstrap/debug/deps/libaho_corasick-992e1ba08ef83436.rmeta: binary file matches grep: ./build/bootstrap/debug/deps/libignore-54d41239d2761852.rmeta: binary file matches grep: ./build/bootstrap/debug/deps/libsame_file-9a5e3ddd89cfe599.rlib: binary file matches grep: ./build/bootstrap/debug/deps/libregex_automata-8e700951c9869a66.rlib: binary file matches grep: ./build/bootstrap/debug/deps/libignore-54d41239d2761852.rlib: binary file matches grep: ./build/bootstrap/debug/deps/libaho_corasick-992e1ba08ef83436.rlib: binary file matches grep: ./build/bootstrap/debug/deps/libregex_automata-8e700951c9869a66.rmeta: binary file matches grep: ./build/bootstrap/debug/deps/libsame_file-9a5e3ddd89cfe599.rmeta: binary file matches real 16.683 user 15.793 sys 0.878 maxmem 8 MB faults 0
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Any Linux admins willing to try Pygrep?
Unrelated, are you the same burntsushi that wrote xsv?
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Analyzing multi-gigabyte JSON files locally
If it could be tabular in nature, maybe convert to sqlite3 so you can make use of indexing, or CSV to make use of high-performance tools like xsv or zsv (the latter of which I'm an author).
https://github.com/BurntSushi/xsv
https://github.com/liquidaty/zsv/blob/main/docs/csv_json_sql...
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What monitoring tool do you use or recommend?
Oh and there's rad cli shit out there for CSV files too, like xsv
What are some alternatives?
dflat - Structured Data Store for Mobile
csvtk - A cross-platform, efficient and practical CSV/TSV toolkit in Golang
sqlite_ora_functions
miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
sqlite-plus - The ultimate set of SQLite extensions
ripgrep - ripgrep recursively searches directories for a regex pattern while respecting your gitignore
sqlite-parquet-vtable - A SQLite vtable extension to read Parquet files
Servo - Servo, the embeddable, independent, memory-safe, modular, parallel web rendering engine
visidata - A terminal spreadsheet multitool for discovering and arranging data
Fractalide - Reusable Reproducible Composable Software
json2csv - Convert json to csv with column titles
svgcleaner - svgcleaner could help you to clean up your SVG files from the unnecessary data.