| csvq | chai | |
|---|---|---|
| 14 | 13 | |
| 1,450 | 1,468 | |
| - | 2.3% | |
| 2.7 | 8.5 | |
| 5 months ago | about 2 months ago | |
| Go | Go | |
| MIT License | MIT License |
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csvq
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Fx – Terminal JSON Viewer
sure can do, if you already use that shell [1], but personally I like specific tools for specific jobs such as jq [2], fx, csvq [3] etc, there's value in decoupling shells from utils (modularity, speed, innovation etc).
[1] I don't but tempted to try, like its data-types concept
[2] https://jqlang.github.io/jq/
[3] https://github.com/mithrandie/csvq
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Tool to interact with CSV
csvq
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Can SQL be used without an RDBMS?
There is a way of running SQL-like queries against CSV files.
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Yq is a portable yq: command-line YAML, JSON, XML, CSV and properties processor
Lately I have had to do a lot of flat file analysis and tools along these lines have been a godsend. Will check this out.
My go to lately has been csvq (https://mithrandie.github.io/csvq/). Really nice to be able run complicated selects right over a CSV file with no setup at all.
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Wie fusioniert man CSV tables?
csvq (https://mithrandie.github.io/csvq/)
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Tool to explore big data sets
I usually do this with awk, my largest target files being half a TB in size for a project last year (and far too large to hold entirely in RAM). There are some other utilities like csvq and csvsql both of which let you write SQL-style queries against CSV files, but I'm not sure how they perform on large files. There's a nice list of CSV manipulation tools too if any of those jog your memory.
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sqly - execute SQL against CSV / JSON with shell
Apparently, there were many who thought the same thing; Tools to execute SQL against CSV were trdsql, q, csvq, TextQL. They were highly functional, hoewver, had many options and no input completion. I found it just a little difficult to use.
- One-liner for running queries against CSV files with SQLite
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Most efficient way to query .CSV files for Mac?
Please check out this tool https://github.com/mithrandie/csvq
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Looking for: library to turn SQL (or abstracted) to code & execute against custom backend (slice of structs)
If you are looking to query nondb data with sql statements then you may want to check something like https://github.com/mithrandie/csvq (SQL for csv).
chai
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Polygon: Json Database System designed to run on small servers (as low as 16MB) and still be fast and flexible.
Some example of embeddable database could be genji, badger and boltdb
- Resource for making database from scratch
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Databases: 2021 in Review and Predictions for 2022
I keep reaching for SQLite and it keeps working. Although I've been needing a better review of what other embedded databases I should be considering in 2022. I tried Genji[1] recently and tore it out as it wasn't doing ORDER BY with multiple columns.
1. https://genji.dev/
- Genji – Document-oriented, embedded SQL database written in Go
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Open Source Databases in Go
Genji is a document-oriented, embedded, SQL database. It is build over Pebble which is a port of RocksDB in Go, by the authors of CockroachDB.
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Looking for: library to turn SQL (or abstracted) to code & execute against custom backend (slice of structs)
Use sth like https://github.com/genjidb/genji, which is an embedded DB with SQL
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Embedded database options
Another option could be also Genji - https://github.com/genjidb/genji
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Alternative to MongoDB?
There is Genji, this is a document-oriented embedded SQL database written in Go. It's still a work in progress though, but it looks great!
- A pure Go embedded SQL database
- Which Go database/storage package do you go for first when your program needs to store a moderate amount of organized data?
What are some alternatives?
querycsv - QueryCSV enables you to load CSV files and manipulate them using SQL queries then after you finish you can export the new values to a CSV file
sqlite
q - q - Run SQL directly on delimited files and multi-file sqlite databases
awesome-go-storage - A curated list of awesome Go storage projects and libraries
yq - yq is a portable command-line YAML, JSON, XML, CSV, TOML and properties processor
ent - An entity framework for Go
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
rqlite - The lightweight, distributed relational database built on SQLite.
miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
go-sqlite - Low-level Go interface to SQLite 3
duckdb - DuckDB is an in-process SQL OLAP Database Management System
sqlite - Go SQLite3 driver