PostgreSQL does not support filtering on object key values in arrays. Starting with MySQL 8.0.17, queries using JSONCONTAINS() on InnoDB tables can be optimized using multi-valued indexes see Multi-Valued Indexes, for more.
Share Improve this answer Follow answered at 5:49 Tim Biegeleisen 495k 25 275 351 3 We use > 5.5. Multi-Valued Indexes, provides detailed information and examples. then the upcoming MySQL 8 will do that for you. As a side note, if you do need to aggregate a resultset to json.
Before v2.23.0: you can filter on the exact Json field value, but you cannot use the other features described in this section.Īdvanced Json filtering is supported by PostgreSQL and MySQL only with different syntaxes for the path option. Try the following query and see if it fits your needs: SELECT userid, jsondata FROM articles WHERE commonschema.extractjsonvalue (jsondata,'title') LIKE 'CPU' This will only work on MySQL version 5.1 or newer. Queries on JSON columns of InnoDB tables using JSONOVERLAPS () in the WHERE clause can be optimized using multi-valued indexes. SELECT JSONOBJECT( 'namefield', namefield, 'addressfield', addressfield, 'contactage', contactage ) FROM contact Aggregating JSON. From v2.23.0, but before v4.0.0: advanced Json filtering is a preview feature. V4.0.0 or later: advanced Json filtering is generally available. Indicates by returning 1 or 0 whether a given candidate JSON document is contained within a target JSON. The functions in this section perform search operations on JSON values to extract data from them, report whether data exists at a location within them, or report the path to data within them. The availability of advanced Json filtering depends on your Prisma version: 12.18.3 Functions That Search JSON Values. When the server later must read a JSON value stored in this binary format, the value need not be parsed from a text representation. #MYSQL JSON QUERY UPDATE#
See also: Advanced example: Update a nested JSON key value Filter on a Json fieldįrom v2.23.0, you can filter rows by the data inside a Json type. From the MySQL official docs: JSON documents stored in JSON columns are converted to an internal format that permits quick read access to document elements. Note: JavaScript objects (for example, ) are automatically converted to JSON. Here's how you can query a JSON column in MySQL: - Getting the params.name string value from events table SELECT params->'.name' FROM events - Getting rows where the browser.name is Chrome - This also shows the difference of using -> vs -> - Using -> will cause strings to be enclosed in quotes SELECT browser->'.name', browser->'.name.
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