spyql
pxi
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| spyql | pxi | |
|---|---|---|
| 23 | 4 | |
| 902 | 267 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | over 3 years ago | |
| Jupyter Notebook | JavaScript | |
| 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.
spyql
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Fq: Jq for Binary Formats
I prefer a SQL-like format. It’s not as complete but it cover most of the day-to-day use cases. Take a look at https://github.com/dcmoura/spyql (I am the author). Congrats on fq!
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Command-line data analytics made easy with SPyQL
SPyQL documentation: spyql.readthedocs.io
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This Week In Python
spyql – Query data on the command line with SQL-like SELECTs powered by Python expressions
- Command-line data analytics made easy
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Jc – JSONifies the output of many CLI tools
This is great!
I am the author of SPyQL [1]. Combining JC with SPyQL you can easily query the json output and run python commands on top of it from the command-line :-) You can do aggregations and so forth in a much simpler and intuitive way than with jq.
I just wrote a blogpost [2] that illustrates it. It is more focused on CSV, but the commands would be the same if you were working with JSON.
[1] https://github.com/dcmoura/spyql
- The fastest command-line tools for querying large JSON datasets
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Working with more than 10gb csv
You can import the data into a PostgreSQL/MySQL/SQLite/... database and then query the database. However, even with the right choice of indexes, it might take a while to run queries on a table with hundreds of millions of records. You can easily import your data to these databases with SpyQL: $ spyql "SELECT * FROM csv TO sql(table=my_table_name) | sqlite3 my.db" (you would need to create the table my_table_name before running the command).
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ClickHouse Cloud is now in Public Beta
https://github.com/dcmoura/spyql/blob/master/notebooks/json_...
And ClickHouse looks like a normal relational database - there is no need for multiple components for different tiers (like in Druid), no need for manual partitioning into "daily", "hourly" tables (like you do in Spark and Bigquery), no need for lambda architecture... It's refreshing how something can be both simple and fast.
- A SQLite extension for reading large files line-by-line
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I want to convert a large JSON file into Tabular Format.
I thought this library was pretty nifty for json. It's also relatively fast compared to most json parsers: https://github.com/dcmoura/spyql
pxi
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The fastest tool for querying large JSON files is written in Python! (benchmark)
Very interesting piece of software :). I have put a lot of work in pxi, a very similar tool written in pure JavaScript. I am not here to start a flame war between Python and JavaScript btw., I am actually thrilled to find another person that has written a very similar project :).
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New command-line parser with 35+ opt-in features developed for 5 months needs your feedback
I have been working on a command-line parser for one of my open source projects (pxi) for about 5 months now. Today I have reached a milestone and wanted to collect feedback before I move on:
- List of JSON tools for command line
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[OC] pjs is an awk-like tool for processing text, CSV, JSON, HTML, and XML
Hey, good job! If you wrote this to get a task done, you may also want to have a look at pxi (disclosure, I am the author).
What are some alternatives?
prql - PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
jid - json incremental digger
malloy - Malloy is an experimental language for describing data relationships and transformations.
yamlpath - YAML/JSON/EYAML/Compatible get/set/merge/validate/scan/convert/diff processors using powerful, intuitive, command-line friendly syntax.
tresql - Shorthand SQL/JDBC wrapper language, providing nested results as JSON and more
Textrude - Code generation from YAML/JSON/CSV models via SCRIBAN templates
Preql - An interpreted relational query language that compiles to SQL.
jfq - JSONata on the command line
prosto - Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby
fx - Terminal JSON viewer & processor
partiql-lang-kotlin - PartiQL libraries and tools in Kotlin.
nvim-jqx - Populate the quickfix with json entries