jmespath.py
miller
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jmespath.py | miller | |
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30 | 63 | |
2,065 | 8,542 | |
1.6% | - | |
0.0 | 9.1 | |
30 days ago | 7 days ago | |
Python | Go | |
MIT License | GNU General Public License v3.0 or later |
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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.
jmespath.py
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Automating Nightly Local Database Refreshes from Azure Blob Storage with Docker
The Azure CLI lets us write queries to filter the results of the az storage blob list command. The queries are written in JMESPath, which is a query language for JSON. In this case, we are filtering the results to only include blobs that end with the .bacpac extension and then selecting the first one as ordered by the lastModified property. If there are no blobs found, the script exits with a failure code. If we find a blob, we download it to the local path specified by the localPath variable.
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What's New in Python 3.12
For JSON there is the `jmespath` library which might help.
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jq 1.7 Released
I love jq, but I also use JMESPath (especially with AWS CLI), yq (bundled with tomlq and xq as well), and dasel [2]. I also wish hclq [3] wasn't so dead!
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Announcing serde-query 0.2.0
Probably writing the query side of things is a lot of the fun here, but there is actually a spec (and a complying Rust impl) you can hook into for this JQ-like querying: https://jmespath.org/ ( https://github.com/jmespath/jmespath.rs ).
- JMESPath
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Spring Boot logging with Loki, Promtail, and Grafana (Loki stack)
Thanks to custom variables that use labels, we can create various filters for the dashboard. You can look up my configuration of variables and extend it with an analogy way for your own needs. At the top, I marked the filter with detected pods in selected namespace. In the lower part, you can see a preview of all labels that are associated with a single log line. Most labels are meta information that Promtail adds during scraping targets. This part of the Promtail configuration provides it. In this section, I also marked a few labels that not comes out-of-the box e.g. leavel , class , thread . We added these labels using the Promtail json stage. You need to know that Promtail processes scraped logs in a pipeline. A pipeline is comprised of a set of stages. json stage is a parsing stage that reads the log line as JSON and accepts JMESPath expressions to extract data.
- Who is JSON?
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jmespath.py VS jertl - a user suggested alternative
2 projects | 31 Oct 2022
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YAML value retrieval
The tester on the official website for JMESPath (what json_query is doing) has been useful to me: https://jmespath.org/
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I've built a PathDict, a library that makes it easy to work with dicts!
Interesting. How does this compared to Jmespath? Not saying Jmespath is superior, just wondering whether you were aware of it.
miller
- Qsv: Efficient CSV CLI Toolkit
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jq 1.7 Released
jq and miller[1] are essential parts of my toolbelt, right up there with awk and vim.
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Perl first commit: a “replacement” for Awk and sed
> This works really well if your problem can be solved in one or two liners.
My personal comfort threshold is around the 100-line mark. It's even possible to write maintainable shell scripts up to 500 lines, but it mostly depends on the problem you're trying to solve, and the discipline of the programmer to follow best practices (use sane defaults, ShellCheck, etc.).
> It go bad very quickly when, say, you have two CSV files and want to join them the sql-way.
In that case we're talking about structured data, and, yeah, Perl or Python would be easier to work with. That said, depending on the complexity of the CSV, you can still go a long way with plain Bash with IFS/read(1) or tr(1) to split CSV columns. This wouldn't be very robust, but there are tools that handle CSV specifically[1], which can be composed in a shell script just fine.
So it's always a balancing act of being productive quickly with a shell script, or reaching out for a programming language once the tools aren't a good fit, or maintenance becomes an issue.
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Need help on cleaning this data!!
where mlr is from https://github.com/johnkerl/miller
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Running weekly average
if this class of problems (i.e., csv/tsv data) is your main target you may find miller (https://github.com/johnkerl/miller) much more useful in the long run
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GQL: A new SQL like query language for .git files written in Rust
That said, you may be interested in Miller (https://github.com/johnkerl/miller) which provides similar capabilities for CSV, JSON, and XML files. It doesn't use a SQL grammar, but that's just the proverbial lipstick on the thing. I'm not the author, but I have used it and I see some parallels in use cases at the very least.
- johnkerl/miller: Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
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Any cli utility to create ascii/org mode tables?
worth giving Miller a shot
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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
- Miller: Like Awk, sed, cut, join, and sort for CSV, TSV, and tabular JSON
What are some alternatives?
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
visidata - A terminal spreadsheet multitool for discovering and arranging data
jq - Command-line JSON processor
xsv - A fast CSV command line toolkit written in Rust.
yq - yq is a portable command-line YAML, JSON, XML, CSV, TOML and properties processor
jfq - JSONata on the command line
dasel - Select, put and delete data from JSON, TOML, YAML, XML and CSV files with a single tool. Supports conversion between formats and can be used as a Go package.
jello - CLI tool to filter JSON and JSON Lines data with Python syntax. (Similar to jq)
csvtk - A cross-platform, efficient and practical CSV/TSV toolkit in Golang
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents