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The new part 16, “Property Graph Queries ”, [2] has been added to the SQL standard. New features related to JSON [3] JSON data type (T801) Enhanced JSON data type (T802) String-based JSON (T803) Hex integer literals in SQL/JSON path language (T840) SQL/JSON simplified accessor (T860–T864) SQL/JSON item methods (T865–T878)
SQL:2016 introduced 44 new optional features. [2] 22 of them belong to the JSON functionality, ten more are related to polymorphic table functions. The additions to the standard include: JSON: Functions to create JSON documents, to access parts of JSON documents and to check whether a string contains valid JSON data
JSONiq primarily provides means to extract and transform data from JSON documents or any data source that can be viewed as JSON (e.g. relational databases or web services). The major expression for performing such operations is the SQL -like “ FLWOR expression” that comes from XQuery.
Support for non-text attributes (scalars, strings, sets, JSON). Direct indexing of SQL databases. Native support for MySQL, MariaDB, PostgreSQL, MSSQL, plus ODBC connectivity. XML document indexing support. Distributed searching support out-of-the-box. Integration via access APIs. SQL-like syntax support via MySQL protocol (since 0.9.9)
Reserved words in SQL and related products In SQL:2023 [3] In IBM Db2 13 [4] In Mimer SQL 11.0 [5] In MySQL 8.0 [6] In Oracle Database 23c [7] In PostgreSQL 16 [1] In Microsoft SQL Server 2022 [2]
Compared to JSON, BSON is designed to be efficient both in storage space and scan-speed. Large elements in a BSON document are prefixed with a length field to facilitate scanning. In some cases, BSON will use more space than JSON due to the length prefixes and explicit array indices. [2]
MySQL aliases schema with database behind the scenes, such that CREATE SCHEMA and CREATE DATABASE are analogs. It can therefore be said that MySQL has implemented cross-database functionality, skipped schema functionality entirely, and provided similar functionality into their implementation of a database.
JSON Pointer [10] defines a string syntax for identifying a single value within a given JSON value of known structure. JSONiq [11] is a query and transformation language for JSON. XPath 3.1 [12] is an expression language that allows the processing of values conforming to the XDM [13] data model. The version 3.1 of XPath supports JSON as well as ...