Sponsored by: Honeycomb — AI agents behave unpredictably. Get the context you need to debug what actually happened. Read the blog 19th June 2021 The new sqlite-utils memory command can import CSV and JSON data directly into an in-memory SQLite database, combine and query it using SQL and output the results as CSV, JSON or various other formats of plain text tables. sqlite-utils memory The new feat
Published on 2022-01-04, 1640 words, 6 minutes to read It is clear that most of the world has decided that they want to use JSON for their public-facing API endpoints. However, most of the time you will need to deal with storage engines that don't deal with JSON very well. This can be confusing to deal with because you need to fit a square peg into a round hole. However, SQLite added JSON function
fq is inspired by the jq tool and language and allows you to work with binary formats in the same way. In addition to using jq expressions it can also present decoded tree structures, transform, slice and concatenate binary data. It also supports nested formats and features an interactive REPL with auto-completion of functions and names. It was originally designed to query, inspect and debug media
1. Overview By default, SQLite supports thirty functions and two operators for dealing with JSON values. There are also two table-valued functions that can be used to decompose a JSON string. There are twenty-six scalar functions and operators: json(json) jsonb(json) json_array(value1,value2,...) jsonb_array(value1,value2,...) json_array_length(json) json_array_length(json,path) json_error_positio
Pikkr is a JSON parser which picks up values directly without performing tokenization in Rust. This JSON parser is implemented based on Y. Li, N. R. Katsipoulakis, B. Chandramouli, J. Goldstein, and D. Kossmann. Mison: a fast JSON parser for data analytics. In VLDB, 2017. This JSON parser extracts values from a JSON record without using finite state machines (FSMs) and performing tokenization. It
This benchmark evaluates the conformance and performance of 41 open-source C/C++ libraries with JSON parsing/generation capabilities. Performance means speed, memory, and code size. Performance should be concerned only if the results are correct. This benchmark also test the conformance of library towards the JSON standards (RFC7159, ECMA-404). Performance of JSON parsing/generation may be critica
RFC 8949 Concise Binary Object Representation “The Concise Binary Object Representation (CBOR) is a data format whose design goals include the possibility of extremely small code size, fairly small message size, and extensibility without the need for version negotiation.” JSON data model CBOR is based on the wildly successful JSON data model: numbers, strings, arrays, maps (called objects in JSON)
Make JSON greppable! gron transforms JSON into discrete assignments to make it easier to grep for what you want and see the absolute 'path' to it. It eases the exploration of APIs that return large blobs of JSON but have terrible documentation. ▶ gron "https://api.github.com/repos/tomnomnom/gron/commits?per_page=1" | fgrep "commit.author" json[0].commit.author = {}; json[0].commit.author.date = "2
NEWS: (December 2015) Version 2.2.4 was released! Read about all the changes. (Notes for downstream package maintainers.) About demjson and jsonlint The demjson package is a comprehensive Python language library to read and write JSON; the popular language-independent data format standard. It includes a command tool, jsonlint, that allows you to easily check and validate any JSON document, and spo
Transit is a format and set of libraries for conveying values between applications written in different programming languages. This spec describes Transit in order to facilitate its implementation in a wide range of languages. Version: 0.8 The Transit Mailing List is the best resource for discussing this specification. Transit provides a set of basic elements and a set of extension elements for re
jq is a lightweight and flexible command-line JSON processor. jq is like sed for JSON data - you can use it to slice and filter and map and transform structured data with the same ease that sed, awk, grep and friends let you play with text. jq is written in portable C, and it has zero runtime dependencies. You can download a single binary, scp it to a far away machine of the same type, and expect
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