GitHub - Florents-Tselai/pgJQ: jq extension for PostgresYou signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
JSON Canvas
An open file format for infinite canvas data. Infinite canvas tools are a way to view and organize information spatially, like a digital whiteboard. Infinite canvases encourage freedom and exploration, and have become a popular interface pattern across many apps. The JSON Canvas format was created to provide longevity, readability, interoperability, and extensibility to data created with infinite
encoding/json/v2 · golang/go · Discussion #63397
This is a discussion intended to lead to a formal proposal. This was written with input from @mvdan, @johanbrandhorst, @rogpeppe, @chrishines, @rsc. Background The widely-used "encoding/json" package is over a decade old and has served the Go community well. Over time, we have learned much about what works well and what does not. Its ability to marshal from and unmarshal into native Go types, the
pg_jsonschema: JSON Schema support for Postgres
Released on the Supabase platform today, pg_jsonschema is a Postgres extension which adds JSON Schema validation support for json and jsonb data types. The use-case for JSON validation# Despite Supabase being an SQL shop, even our most zealous relational data model advocates (begrudgingly) recognize some advantages to the document data model. Mainly, if some complex data will always be consumed to
Announcing JSON support for Amazon ElastiCache for Redis and Amazon MemoryDB for Redis
Amazon ElastiCache for Redis and Amazon MemoryDB for Redis now support natively storing and accessing data in the JavaScript Object Notation (JSON) format. With this launch, application developers can effortlessly store, fetch, and update their JSON data inside Redis without needing to manage custom code for serialization and deserialization. Using ElastiCache and MemoryDB, you can now efficiently
Introducing zq: An Easier (and Faster) Alternative to jq
If you’ve ever had the need to query or transform large amounts of JSON data, you’ve undoubtedly turned to the phenomenal and ubiquitous tool jq. Yet your first experience trying out jq was probably a bit challenging. Its syntax is powerful but also terse and arguably a little too clever. It’s kind of like a Unix pipeline but not really. Don’t get me wrong. jq is awesomely useful. But overall, it
GitHub - bytedance/sonic: A blazingly fast JSON serializing & deserializing library
goversion: 1.17.1 goos: darwin goarch: amd64 cpu: Intel(R) Core(TM) i9-9880H CPU @ 2.30GHz BenchmarkEncoder_Generic_Sonic-16 32393 ns/op 402.40 MB/s 11965 B/op 4 allocs/op BenchmarkEncoder_Generic_Sonic_Fast-16 21668 ns/op 601.57 MB/s 10940 B/op 4 allocs/op BenchmarkEncoder_Generic_JsonIter-16 42168 ns/op 309.12 MB/s 14345 B/op 115 allocs/op BenchmarkEncoder_Generic_GoJson-16 65189 ns/op 199.96 MB
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https://arxiv.org/pdf/2201.03051.pdf
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