spyql
malloy
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| spyql | malloy | |
|---|---|---|
| 23 | 19 | |
| 902 | 1,822 | |
| - | 2.9% | |
| 0.0 | 9.8 | |
| over 1 year ago | 9 days ago | |
| Jupyter Notebook | TypeScript | |
| 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
malloy
- Malloy: A language for describing data relationships and transformations
- Malloy: Open-source language for analyzing, transforming, and modeling data
- Malloy
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Upcoming Data Engineering Tools
Rust and python combination has resulted in some amazing python libraries. One interesting thing I see is people developing different variety of query languages like EdgeQL and Malloy
- Malloy: An Experimental Language for Data
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I don't need your query language
I felt the same way when Malloy[0] launched. It has some interesting features, but I couldn't see myself ever using it. Nothing makes a big enough difference to spend the time to learn it.
Would love to hear from anybody that's using it regularly
0 - https://www.malloydata.dev/
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When not to use SQL - Sean J Taylor
Sidenote: have you used Google Malloy? If so, what did you like/dislike?
What are some alternatives?
prql - PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
tresql - Shorthand SQL/JDBC wrapper language, providing nested results as JSON and more
logica - Logica is a logic programming language that compiles to SQL. It runs on Google BigQuery, PostgreSQL and SQLite.
Preql - An interpreted relational query language that compiles to SQL.
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
partiql-lang-kotlin - PartiQL libraries and tools in Kotlin.
pxi - 🧚 pxi (pixie) is a small, fast, and magical command-line data processor similar to jq, mlr, and awk.
rfcs - RFCs for major changes to EdgeDB
xsuspender - :eyes: :computer: :zzz: :battery: Save battery by auto-suspending unfocused X11 applications.