Search Results for "documents"

SJSON is a complement to GJSON, also written in Go, focused on setting or modifying values inside JSON documents through path expressions. Just as GJSON allows fast retrieval, SJSON allows fast mutation: you provide a JSON document, a dot-notation path (including array indices or the special “-1” index for appending), and a new value, and SJSON produces the updated JSON. It supports many data types (numbers, strings, bools, arrays, maps), raw byte paths, and options for in-place replacement. ...

CloverDB is a lightweight NoSQL database designed to be simple and easily maintainable, thanks to its small code base. It has been inspired by tinyDB. CloverDB has been written for being easily maintainable. As such, it trades performance with simplicity and is not intended to be an alternative to more performant databases such as MongoDB or MySQL. However, there are projects where running a separate database server may result overkilled, and, for simple queries, network delay may be the...

JJ is a command line utility that provides a fast and simple way to retrieve or update values from JSON documents. It's powered by GJSON and SJSON under the hood. It's fast because it avoids parsing irrelevant sections of json, skipping over values that do not apply, and aborts as soon as the target value has been found or updated.

...The library favors explicit schemas and type-safe bindings where possible, which helps large teams avoid drift in field names and relationship structures. It also offers utilities for sparse fieldsets and compound documents, minimizing payload size while keeping related entities synchronized. With consistent error objects and status mapping, it makes API error handling uniform across clients.

A simple Go package to Query over JSON Data. It provides a simple, elegant, and fast ODM-like API to access, and query JSON documents. You can query your document using the various query methods such as Find, First, Nth, Pluck, Where, OrWhere, WhereIn, WhereStartsWith, WhereEndsWith, WhereContains, Sort, GroupBy, SortBy, and so on. Also, you can aggregate data after query using Avg, Count, Max, Min, Sum, etc.