jsquery - JsQuery – json query language with GIN indexing support

  •        24

JsQuery – is a language to query jsonb data type, introduced in PostgreSQL release 9.4. It's primary goal is to provide an additional functionality to jsonb (currently missing in PostgreSQL), such as a simple and effective way to search in nested objects and arrays, more comparison operators with indexes support. We hope, that jsquery will be eventually a part of PostgreSQL.

https://github.com/postgrespro/jsquery

Tags
Implementation
License
Platform

   




Related Projects

gojsonq - A simple Go package to Query over JSON Data

  •    Go

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. If you encounter any bugs or issues, feel free to open an issue at github.

jsonq - A PHP query builder for JSON

  •    PHP

JsonQ is a simple, elegant PHP package to Query over any type of JSON Data. It'll make your life easier by giving the flavour of an ORM-like query on your JSON. You can start Query your data using the various query methods such as find, where, orWhere, whereIn, whereStartsWith, whereEndsWith, whereContains and so on. Also you can aggregate your data after query using sum, count, groupBy, max, min etc.

jmespath.js - Javascript implementation of JMESPath, a query language for JSON

  •    Javascript

jmespath.js is a javascript implementation of JMESPath, which is a query language for JSON. It will take a JSON document and transform it into another JSON document through a JMESPath expression. In the example we gave the search function input data of {foo: {bar: {baz: [0, 1, 2, 3, 4]}}} as well as the JMESPath expression foo.bar.baz[2], and the search function evaluated the expression against the input data to produce the result 2.

json-query - Retrieves values from JSON objects for data binding

  •    Javascript

Retrieves values from JSON objects for data binding. Offers params, nested queries, deep queries, custom reduce/filter functions and simple boolean logic. Specify a query and what to query. Returns an object that describes the result of the query.

queryl - :mag_right: Query language to perform complex object searches

  •    Javascript

Query language to perform complex object searches.


ObjectPath - The agile query language for semi-structured data

  •    Python

ObjectPath is a query language similar to XPath or JSONPath, but much more powerful thanks to embedded arithmetic calculations, comparison mechanisms and built-in functions. This makes the language more like SQL in terms of expressiveness, but it works over JSON documents rather than relations. ObjectPath can be considered a full-featured expression language. Besides selector mechanism there is also boolean logic, type system and string concatenation available. On top of that, the language implementations (Python at the moment; Javascript is in beta!) are secure and relatively fast. I appreciate all contributions and bugfix requests for ObjectPath, however since I don't code in Python any more, this library is not maintained as of now. Since I can't fully assure that code contributed by others meets quality standards, I can't accept PRs.

RethinkDB - Distributed JSON database

  •    C++

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn. It supports JSON data model, Distributed joins, subqueries, aggregation, atomic updates, Hadoop-style map/reduce.

json-mask - Tiny language and engine for selecting specific parts of a JS object, hiding the rest.

  •    Javascript

This is a tiny language and an engine for selecting specific parts of a JS object, hiding/masking the rest.The main difference between JSONPath / JSONSelect and this engine is that JSON Mask preserves the structure of the original input object. Instead of returning an array of selected sub-elements (e.g. [{a: 1}, {z: 1}] from example above), it filters-out the parts of the object that you don't need, keeping the structure unchanged: {p: {a: 1}, z: 1}.

rdb - Javascript ORM

  •    Javascript

ORM for nodejs. Supports postgres, mySql and sqlite. 1.7.1 Support for schemas (postgres only). 1.7.0 sqlite3 is now a peer dependency. Add it to your own package.json if you intend to use it. 1.6.9 Bugfix: one-to-many relation returns empty if strategy is included. 1.6.8 Bugfix: one-to-many relation returns empty if insert/update is done earlier in transaction. 1.6.7 Bugfix in relations. 1.6.6 Bugfix. 1.6.5 Improved performance on relations. 1.6.4 Bugfix. 1.6.3 Bugfix: potential incorrect timeZoneOffset when serializing date to JSON. Got timeZoneOffset from now() instead of on actual date. 1.6.2 Removed es6 syntax to ensure backwards compatability. Fixed global var leak. 1.6.1 Now supporting sqlite. 1.6.0 Bugfix: potential ambigous column error when using limit and relating to other tables. 1.5.9 Bugfix: using multipleStatements in mySql could sometimes cause an error when updates are run right before a select. Improved performance on limit when relating to other tables. Using uuid instead of node-uuid Updated all dependencies but generic-pool to latest. (Generic-pool has some breaking changes in latest. I will update it in next release.) 1.5.8 Cleanup line breaks in documentation. 1.5.7 Bugfix: getById.exclusive and tryGetById.exclusive did not lock if row was cached. Improved performance on tryGetFirst. 1.5.6 Raw sql filters can accept sql both as string and as function. E.g. var filter = {sql: function() {return 'foo > 1';}}. 1.5.5 Optional locks for getMany, tryGetFirst and tryGetById. Instead of calling getMany(params) just call getMany.exclusive(params). Same syntax goes for tryGetFirst and tryGetById. This will result in SELECT FOR UPDATE. Bugfix: bulk deletes now accepts raw sql filters too. 1.5.4 Transaction locks. Postgres only. 1.5.3 Upgraded to pg 6.0.3 1.5.2 Improved performance and reduced memory footprint. 1.5.1 Documented JSON column type. Bug fix: Insert and foreign key violation. 1.5.0 JSON column type. Postgres json type does not support rdb filters. 1.4.1 Empty filter would sometimes cause invalid filter. 1.4.0 Raw SQL query. 1.3.0 getMany() now supports limit and orderBy - same syntax as in streaming. 1.2.3 Bugfix: iEqual gave incorrect sql when parameterized. 1.2.2 Exlusive no longer returns a clone of table. It has changes current table to exclusive locking. 1.2.1 Bugfix: Exclusive row locks 1.2.0 Exclusive row locks 1.1.0 Now supporting streaming. Requires postgres or MySQL >=5.7.7 1.0.8 README fixup. 1.0.7 Better performance on insert and update. 1.0.6 Bugfix: Transaction domain should not forward rdb singleton from old domain. 1.0.5 Documentation cleanup. 1.0.4 orderBy in toDto(). 1.0.3 toDto() using next tick on every thousandth row to avoid maximum call stack size exceeded. 1.0.2 Reduced number of simultaneous promises in order to avoid maximum call stack size exceeded. 1.0.1 Bugfix: Incorrect insert/updates on timestamp without timezone. The time was converted utc instead of stripping the timezone. 1.0.0 Transaction domain forwards properties from old domain. Semantic versioning from now on. 0.5.1 Improved performance 0.5.0 Logging: rdb.log(someFunc) logs sql and parameters. Raw sql filters. 0.4.9 New method: tryGetById. New filter: iEqual, postgres only. Bugfix: rows.toJSON() without strategy did not include any children. 0.4.8 Explicit pooling with size and end(). Bugfix: mySql did not release client to pool. 0.4.7 Upgraded to pg 4.3.0 Upgraded to mysql 2.5.5 0.4.6 Upgraded pg 4.2.0. 0.4.5 Oops. Forgot to use pg.js instead of pg. 0.4.4 Upgraded all dependencies to latest. Using pg.js instead of pg. 0.4.3 Can ignore columns when serializing to dto. 0.4.2 Bugfix: update on a row crashes when a delete occurs earlier in same transaction. 0.4.1 Bugfix: more global leaks. 0.4.0 Bugfix: global leak. 0.3.9 Bugfix: eager loading joins/hasOne with non unique column names was not handled correctly. 0.3.8 Supports mySql. Bulk deletes. 0.3.7 Bugfix: eager loading manyRelation on a join/hasOne returned empty array #11 0.3.6 Fixed sql injection vulnerability. 0.3.5 Built-in fetching strategies for lazy loading. Works best in readonly scenarios. 0.3.4 Docs and examples split moved to separate file. 0.3.3 Fixed documentation layout again. 0.3.2 Fixed documentation layout. 0.3.1 Case insensitive filters: iStartsWith, iEndsWith and iContains. 0.3.0 Fix broken links in docs. 0.2.9 Support for row.delete(). Rollback only throws when error is present. 0.2.8 Guid accepts uppercase letters. Bugfix: null inserts on guid columns yielded wrong sql. 0.2.7 New method, toDto(), converts row to data transfer object. Bugfix: toJSON returned incorrect string on hasMany relations. 0.2.6 Fixed incorrect links in README. 0.2.5 Bugfix: caching on composite keys could give a crash #7. Improved sql compression on insert/update. 0.2.4 Bugfix: getMany with many-strategy and shallowFilter yields incorrect query #6. 0.2.3 Reformatted documentation. No code changes.

sqler - write APIs using direct SQL queries with no hassle, let's rethink about SQL

  •    Go

SQL-er is a tiny portable server enables you to write APIs using SQL query to be executed when anyone hits it, also it enables you to define validation rules so you can validate the request body/query params, as well as data transformation using simple javascript syntax. sqler uses nginx style configuration language (HCL) amd javascript engine for custom expressions. RESTful server could be used to interact directly with i.e mobile, browser, ... etc, in this mode SQLer is protected by authorizers, which gives you the ability to check authorization against another 3rd-party api. Each macro you add to the configuration file(s) you can access to it by issuing a http request to /<macro-name>, every query param and json body will be passed to the macro .Input.

jsonb_accessor - Adds typed jsonb backed fields to your ActiveRecord models.

  •    Ruby

Adds typed jsonb backed fields as first class citizens to your ActiveRecord models. This gem is similar in spirit to HstoreAccessor, but the jsonb column in PostgreSQL has a few distinct advantages, mostly around nested documents and support for collections. It also adds generic scopes for querying jsonb columns.

libgraphqlparser - A GraphQL query parser in C++ with C and C++ APIs

  •    C++

libgraphqlparser is a parser for GraphQL, a query language created by Facebook for describing data requirements on complex application data models, implemented in C++11. It can be used on its own in C++ code (or in C code via the pure C API defined in the c subdirectory), or you can use it as the basis for an extension module for your favorite programming language instead of writing your own parser from scratch.The provided dump_json_ast is a simple program that reads GraphQL text on stdin and prints a JSON representation of the AST to stdout.

query-server - Query Server Search Engines https://query-server.herokuapp.com

  •    Python

The query server can be used to search a keyword/phrase on a search engine (Google, Yahoo, Bing, Ask, DuckDuckGo, Baidu, Exalead, Quora, Parsijoo, Dailymotion, Mojeek and Youtube) and get the results as json, xml or csv. The tool also stores the searched query string in a MongoDB database for analytical purposes.

SenseiDB - Distributed, Realtime, Semi-Structured Database from LinkedIn

  •    Java

Sensei is a distributed data system that was built to support many product initiatives at LinkedIn, including the real-time faceted search in LinkedIn Signal and the news feed and tabs on the Homepage. Sensei is both a search engine and a database. It is designed to query and navigate through documents that consist of unstructured text and well-formed and structured metadata. Sensei is both a search engine and a database.

DeepVideoAnalytics - A distributed visual search and visual data analytics platform.

  •    Python

Deep Video Analytics is a platform for indexing and extracting information from videos and images. With latest version of docker installed correctly, you can run Deep Video Analytics in minutes locally (even without a GPU) using a single command. Deep Video Analytics implements a client-server architecture pattern, where clients can access state of the server via a REST API. For uploading, processing data, training models, performing queries, i.e. mutating the state clients can send DVAPQL (Deep Video Analytics Processing and Query Language) formatted as JSON. The query represents a directed acyclic graph of operations.

Akumuli - Time-series database

  •    C++

Akumuli is a time-series database for modern hardware. It can be used to capture, store and process time-series data in real-time. The word "akumuli" can be translated from Esperanto as "accumulate".

jmespath.py - JMESPath is a query language for JSON.

  •    Python

JMESPath (pronounced "james path") allows you to declaratively specify how to extract elements from a JSON document. The jmespath expression foo.bar will return "baz".

jsonpath - Query and manipulate JavaScript objects with JSONPath expressions

  •    Javascript

Query JavaScript objects with JSONPath expressions. Robust / safe JSONPath engine for Node.js. Here are syntax and examples adapted from Stefan Goessner's original post introducing JSONPath in 2007.

mobility - Pluggable Ruby translation framework

  •    Ruby

Mobility is a gem for storing and retrieving translations as attributes on a class. These translations could be the content of blog posts, captions on images, tags on bookmarks, or anything else you might want to store in different languages. For examples of what Mobility can do, see the Companies using Mobility section below. Storage of translations is handled by customizable "backends" which encapsulate different storage strategies. The default way to store translations is to put them all in a set of two shared tables, but many alternatives are also supported, including translatable columns and model translation tables, as well as database-specific storage solutions such as json/jsonb and Hstore (for PostgreSQL).

zson - ZSON is a PostgreSQL extension for transparent JSONB compression

  •    C

ZSON is a PostgreSQL extension for transparent JSONB compression. Compression is based on a shared dictionary of strings most frequently used in specific JSONB documents (not only keys, but also values, array elements, etc). In some cases ZSON can save half of your disk space and give you about 10% more TPS. Memory is saved as well. See docs/benchmark.md. Everything depends on your data and workload, though. Don't believe any benchmarks, re-check everything on your data, configuration, hardware, workload and PostgreSQL version.