MySQL Rises with JSON Support

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MySQL Rises with JSON Support

MySQL 5.7

Okcan Yasin Saygılı

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Copyright © 2015, Oracle and/or its affiliates. All rights reserved. 2

Agenda

1.The new JSON data type

2.Inlined JSON path expressions

3.Indexing JSON data


JSON Datatype

MySQL supports solid JSON data type and enables effect access to data in JSON documents. The JSONdata type support these advantages over storing JSON-format strings ,

•Automatic validation of JSON documents stored in JSON columns.

•Optimized storage format. JSON documents stored in JSON columns are converted to an internal format that permits quick read access to document elements.


JSON Datatype

•The size of JSON documents stored in JSON columns is limited to the value of the max allowed packet system variable

•JSON columns cannot have a default value.

•JSON columns cannot be indexed


• mysql> SELECT JSON_ARRAY(1, "abc", NULL, TRUE, CURTIME());• +---------------------------------------------+ • | JSON_ARRAY(1, "abc", NULL, TRUE, CURTIME()) |• +---------------------------------------------+ • | [1, "abc", null, true, "11:30:24.000000"] | • +---------------------------------------------+

The New JSON DatatypeEvaluates a (possibly empty) list of values and returns a JSON array containing those values.


insert a value into a JSON

mysql> CREATE TABLE t1 (jdoc JSON); Query OK, 0 rows affected (0.20 sec) mysql> INSERT INTO t1 VALUES('{"key1": "value1", "key2": "value2"}');

Query OK, 1 row affected (0.01 sec)

Attempting to insert a value into a JSON column succeeds if the value is a valid JSON value, but fails if it is not:


Insert Value

mysql> SELECT JSON_INSERT(@j, '$[1].b[0]', 1, '$[2][2]', 2); +-----------------------------------------------+ | JSON_INSERT(@j, '$[1].b[0]', 1, '$[2][2]', 2) | +-----------------------------------------------+ | ["a", {"b": [true, false]}, [10, 20, 2]] | +-----------------------------------------------+

JSON_INSERT() adds new values but does not replace existing values:


User DefinedJSON values can be assigned to user-defined variables:

mysql> SET @j = JSON_OBJECT('key', 'value'); mysql> SELECT @j; +------------------+ | @j | +------------------+ | {"key": "value"} | +------------------+


JSON ReplaceJSON_REPLACE replaces existing values and ignores new values:

mysql> SELECT JSON_REPLACE(@j, '$[1].b[0]', 1, '$[2][2]', 2); +------------------------------------------------+ | JSON_REPLACE(@j, '$[1].b[0]', 1, '$[2][2]', 2) | +------------------------------------------------+ | ["a", {"b": [1, false]}, [10, 20]] | +------------------------------------------------+


JSON RemoveJSON_REMOVE() takes a JSON document and one or more paths that specify

values to be removed from the document

mysql> SELECT JSON_REMOVE(@j, '$[2]', '$[1].b[1]', '$[1].b[1]'); +---------------------------------------------------+ | JSON_REMOVE(@j, '$[2]', '$[1].b[1]', '$[1].b[1]') | +---------------------------------------------------+ | ["a", {"b": [true]}] | +---------------------------------------------------+


Agenda




Copyright © 2015, Oracle and/or its affiliates. All rights reserved.

Inlined JSON Path Expressions

mysql> CREATE TABLE employees (data JSON);Query OK, 0 rows affected (0,01 sec)

mysql> INSERT INTO employees VALUES ('{"id": 1, "name": "Jane"}');Query OK, 1 row affected (0,00 sec)

MySQL 5.7.9 has a new feature, that simplifies queries that deal with JSON data and makes more human-readable: inlined JSON path expressions ,

Copyright © 2015, Oracle and/or its affiliates. All rights reserved.

Inlined JSON Path Expressionsmysql> INSERT INTO employees VALUES ('{"id": 2, "name": "Joe"}');Query OK, 1 row affected (0,00 sec)mysql> SELECT * FROM employees WHERE data->'$.id'= 2;+--------------------------+| data |+--------------------------+| {"id": 2, "name": "Joe"} |+--------------------------+1 row in set (0,01 sec)


Agenda





Indexing JSON Data

• CREATE TABLE t1 ( data JSON, id INTEGER AS (JSON_EXTRACT(data,"$.id")) STORED, PRIMARY KEY(id));– CREATE TABLE t2 (

data JSON, id INTEGER AS (JSON_EXTRACT(data,"$.id")) VIRTUAL, KEY(id));

Use Functional IndexesBoth STORED and VIRTUAL types are supported

Examples:


References• http://mysqlserverteam.com/inline-json-path-expressions-in-mysql-5-7/• https://dev.mysql.com/doc/refman/5.7/en/json-search-functions.html• https://dev.mysql.com/doc/refman/5.7/en/json-search-functions.html• https://dev.mysql.com/doc/refman/5.7/en/json-functions.html• https://dev.mysql.com/doc/refman/5.7/en/json-search-functions.html• http://www.slideshare.net/GeorgiKodinov/bgoug-2014-developing-using-my-sql• http://www.slideshare.net/gkodinov/bgoug15-json-support-in-mysql-57?qid

=409fcf82-1139-498e-9f14-c4176d26212a&v=default&b=&from_search=1

And more …

http://mysqlserverteam.com/inline-json-path-expressions-in-mysql-5-7/

https://dev.mysql.com/doc/refman/5.7/en/json-search-functions.html


https://dev.mysql.com/doc/refman/5.7/en/json-functions.html


http://www.slideshare.net/GeorgiKodinov/bgoug-2014-developing-using-my-sql















http://www.slideshare.net/gkodinov/bgoug15-json-support-in-mysql-57?qid=409fcf82-1139-498e-9f14-c4176d26212a&v=default&b=&from_search=1




















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MySQL Rises with JSON Support

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