MySQL Rises with JSON Support

Copyright © 2015, Oracle and/or its affiliates. All rights reserved. |
MySQL Rises with JSON Support
MySQL 5.7
Okcan Yasin Saygılı
yasin.x.saygili@oracle.com

Copyright © 2015, Oracle and/or its affiliates. All rights reserved.
Agenda
2
1.The new JSON data type
2.Inlined JSON path expressions
3.Indexing JSON data

JSON Datatype
3
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
4
•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"] |
• +---------------------------------------------+
5
The New JSON Datatype
Evaluates a (possibly empty) list of values and returns a JSON array
containing those values.

insert a value into a JSON
6
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
7
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 Defined
8
JSON values can be assigned to user-defined variables:
mysql> SET @j = JSON_OBJECT('key', 'value');
mysql> SELECT @j;
+------------------+
| @j |
+------------------+
| {"key": "value"} |
+------------------+

JSON Replace
9
JSON_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 Remove
10
JSON_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
11

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 ,

Inlined JSON Path Expressions
mysql> 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
14

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));
15
Use Functional Indexes
Both 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-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 …
16

Questions ?
17

Safe Harbor Statement
The preceding is intended to outline our general product direction. It is intended for
information purposes only, and may not be incorporated into any contract. It is not a
commitment to deliver any material, code, or functionality, and should not be relied upon
in making purchasing decisions. The development, release, and timing of any features or
functionality described for Oracle’s products remains at the sole discretion of Oracle.
18

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