rows
q
rows | q | |
---|---|---|
1 | 46 | |
861 | 10,127 | |
- | - | |
6.3 | 2.1 | |
4 days ago | 29 days ago | |
Python | Python | |
GNU Lesser General Public License v3.0 only | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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rows
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PostgreSQL alternative for Large amounts of data
I have used following python utility https://github.com/turicas/rows , it provides cli that can bulk load csv to postgres tables.
q
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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
- Segítség kérés Excel automatizáláshoz
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Show HN: ClickHouse-local – a small tool for serverless data analytics
I think they're talking about https://github.com/harelba/q, which is not very fast.
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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.
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Q – Run SQL Directly on CSV or TSV Files
Hi, author of q here.
Regarding the error you got, q currently does not autodetect headers, so you'd need to add -H as a flag in order to use the "country" column name. You're absolutely correct on failing-fast here - It's a bug which i'll fix.
In general regarding speed - q supports automatic caching of the CSV files (through the "-C readwrite" flag). Once it's activated, it will write the data into another file (with a .qsql extension), and will use it automatically in further queries in order to speed things considerably.
Effectively, the .qsql files are regular sqlite3 files (with some metadata), and q can be used to query them directly (or any regular sqlite3 file), including the ability to seamlessly join between multiple sqlite3 files.
http://harelba.github.io/q/#auto-caching-examples
- PostgreSQL alternative for Large amounts of data
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q VS trdsql - a user suggested alternative
2 projects | 25 Jun 2022
- One-liner for running queries against CSV files with SQLite
What are some alternatives?
timescaledb-parallel-copy - A binary for parallel copying of CSV data into a TimescaleDB hypertable
textql - Execute SQL against structured text like CSV or TSV
etlp - A transducers based etl processing library written in clojure
csvq - SQL-like query language for csv
bellboy - Highly performant JavaScript data stream ETL engine.
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
pgloader - Migrate to PostgreSQL in a single command!
InquirerPy - :snake: Python port of Inquirer.js (A collection of common interactive command-line user interfaces)
Excelize - Excelize is a small app that will allow users to easily manipulate Excel files, by merging, converting and splitting them as needed. It support multiple file selection with the aim to simplify the process
xsv - A fast CSV command line toolkit written in Rust.
pyexcel - Single API for reading, manipulating and writing data in csv, ods, xls, xlsx and xlsm files
ledger - Double-entry accounting system with a command-line reporting interface