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MySQL JSON Keys

Continuing from the last entry on using MySQL's new JSON data type , let us take a look at the keys in our sample database. Use JSON_KEYS to get a lit of the Keys withing the document. mysql> SELECT JSON_KEYS(info) FROM stooge; +-----------------+ | json_keys(info) | +-----------------+ | ["job", "name"] | | ["job", "name"] | | ["job", "name"] | | ["job", "name"] | +-----------------+ 4 rows in set (0.00 sec) So how many records have a 'job' key? mysql> select JSON_CONTAINS_PATH(info,'all','$.job') from stooge; +----------------------------------------+ | JSON_CONTAINS_PATH(info,'all','$.job') | +----------------------------------------+ | 1 | | 1 | | 1 | | 1 | +----------------------------------------+ 4 row

Grab JSON DATA from MySQL and Update It

So lets get some data from a JSON column from a table in a MySQL database and update it. JSON data is is simply a column like a REAL, INTEGER, CHAR, or VARCAHR. So fetching the data from a JSON column is the same as any other column. The same database we have has two columns -- a integer for a identification number and a second for JSON data. Fetch Data #!/usr/bin/php <?php $mysqli = new mysqli("localhost", "root", "hidave", "test"); /* check connection */ if (mysqli_connect_errno()) { printf("Connect failed: %s\n", mysqli_connect_error()); exit(); } $query1 = "SELECT * FROM stooge"; $result = $mysqli->query($query1); while($row = $result->fetch_assoc()) { printf("%d - %s\n", $row["id"], $row["info"]); } $mysqli->close(); ?> When the program executes we see the following: 1 - {"name": "Moe Howard"} 2 - {"name": "Larry Fi

MySQL JSON Functions to Create Values

MySQL 5.7's new JSON data type has three functions to help you make sure your data is a valid utf8mb4 character set JSON document. They are JSON_ARRAY , JSON_QUOTE , and JSON_OBJECT . ( You can also obtain JSON values by casting values of other types to the JSON type using CAST(value AS JSON) ) What is the big difference? And when would you use one over another? JSON_ARRAY takes a string as input and returns a JSON array with the values from the string. mysql> select JSON_ARRAY('') +----------------+ | JSON_ARRAY('') | +----------------+ | [""] | +----------------+ 1 row in set (0.01 sec) mysql> SELECT JSON_ARRAY('Foo', 42, now()); +-------------------------------------------+ | JSON_ARRAY('Foo', 42, now()) | +-------------------------------------------+ | ["Foo", 42, "2016-02-15 07:31:56.000000"] | +-------------------------------------------+ JSON_QUOTE takes the string given as in

MySQL JSON Meta Data Fuctions

Lost post covered the use of the MySQL JSON functions to feed data into the database server and why the PHP json_encode did not provide what was needed. THis time we will look how to examine the data once it is in a JSON column. We started with a simple associative array and fed it into the database. mysql> SELECT * FROM foobar; +--------------------------+ | mydata | +--------------------------+ | {"a": 1, "b": 2, "c": 3} | +--------------------------+ 1 row in set (0.00 sec) MySQL 5.7 has a group of JSON functions for looking at attributes. See the MySQL Manual 12.16.5 Functions That Return JSON Value Attributes . And they do not always work in an intuitive fashion! JSON_DEPTH returns the maximum depth of a JSON document. It will return a NULL if passed a NULL and return an error if the document is not valid JSON. An empty array, object or scalar value has a depth of 1. Non empty arrays or objects with elements or members o

MySQL's JSON Functions Verses PHP's JSON Functions

The MySQL JSON data type only accepts valid JSON documents. PHP has a handful of JSON functions but sadly json_encode does not provide what the database server wants. Lets start with a simple array. $alpha = array('a' => 1, 'b' => 2, 'c' => 3); This is a very simple associative array that we want to turn into a JSON doc with there elements, where 'a' is equal to 1 etcetera. This would look like this: {"a": 1, "b": 2, "c": 3} Using the built in PHP function json_encode we get this: {"a":1,"b":2,"c":3} Fantastic. We should be able to feed that into query, send it to the server, and be good to go. But when we try to feed that into MySQL it will return a syntax error. MySQL can be fussy about sending data in quotes, especially unescaped, in a query. So the associate array has to be serialized (fancy way to saw written out to a string) in a format MySQL can accept. That format means

MySQL's JSON Data Type

MySQL 5.7 features a native JSON datatype. So just like a INT, CHAR, or other data type, you can now store valid JSON documents in a MySQL database. Previously you could put JSON formatted data into a CHAR, a TEXT, or similar data type. But it was a real pain to search this JSON data for items contained in them. But now you can store the JSON and there is a list functions to allow full access to this data in the column. shell$ mysql -u root -p test Enter password: Reading table information for completion of table and column names You can turn off this feature to get a quicker startup with -A Welcome to the MySQL monitor. Commands end with ; or \g. Your MySQL connection id is 15 Server version: 5.7.9 MySQL Community Server (GPL) Copyright (c) 2000, 2015, Oracle and/or its affiliates. All rights reserved. Oracle is a registered trademark of Oracle Corporation and/or its affiliates. Other names may be trademarks of their respective owners. Type 'help;' or '\h' for h

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