如何在java中获取mysql5.7版本里的json-CSDN论坛

发布网友发布时间：2022-04-22 08:56

共2个回答

热心网友时间：2022-04-09 20:56

DELIMITER $$

USE `dw`$$

DROP FUNCTION IF EXISTS `fn_Json_getKeyValue`$$

CREATE DEFINER=`data`@`%` FUNCTION `fn_Json_getKeyValue`(
in_JsonArray VARCHAR(4096),#JSON数组字符串
in_Index TINYINT, #JSON对象序号，序号从1开始
in_KeyName VARCHAR()#键名
) RETURNS VARCHAR(512) CHARSET utf8
BEGIN
DECLARE vs_return VARCHAR(4096);
DECLARE vs_JsonArray, vs_Json, vs_KeyName VARCHAR(4096);
#declare vs_Json varchar(4096);
DECLARE vi_pos1, vi_pos2 SMALLINT UNSIGNED;

#写监控日志
#insert into dw.t_etl_log(sp_name, title, description)
#values('dw.fn_Json_getKeyValue', '通过Json键名取键值', concat('in_JsonArray=', in_JsonArray));

SET vs_JsonArray = TRIM(in_JsonArray);
SET vs_KeyName = TRIM(in_KeyName);

IF vs_JsonArray = '' OR vs_JsonArray IS NULL
OR vs_KeyName = '' OR vs_KeyName IS NULL
OR in_Index <= 0 OR in_Index IS NULL THEN
SET vs_return = NULL;
ELSE
#去掉方括号
SET vs_JsonArray = REPLACE(REPLACE(vs_JsonArray, '[', ''), ']', '');
#取指定的JSON对象
SET vs_json = SUBSTRING_INDEX(SUBSTRING_INDEX(vs_JsonArray,'}', in_index),'}',-1);

IF vs_json = '' OR vs_json IS NULL THEN
SET vs_return = NULL;
ELSE
SET vs_KeyName = CONCAT('"', vs_KeyName, '":');
SET vi_pos1 = INSTR(vs_json, vs_KeyName);
IF vi_pos1 > 0 THEN
#如果键名存在
SET vi_pos1 = vi_pos1 + CHAR_LENGTH(vs_KeyName);
SET vi_pos2 = LOCATE(',', vs_json, vi_pos1);
IF vi_pos2 = 0 THEN
#最后一个元素没有','分隔符，也没有结束符'}'
SET vi_pos2 = CHAR_LENGTH(vs_json) + 1;
END IF;
SET vs_return = REPLACE(MID(vs_json, vi_pos1, vi_pos2 - vi_pos1), '"', '');
END IF;
END IF;
END IF;

RETURN(vs_return);
END$$

DELIMITER ;

测试： {"old_current_score":"2","new_current_score":"0","old_grade_id":"1","new_grade_id":"1","grade_time":"2016-04-09 00:43:26","grade_upgrade_time":"2017-04-09 00:43:26"}
select fn_Json_getKeyValue(reason,1,'old_grade_id');

热心网友时间：2022-04-09 22:14

我们知道，JSON是一种轻量级的数据交互的格式，大部分NO SQL数据库的存储都用JSON。MySQL从5.7开始支持JSON格式的数据存储，并且新增了很多JSON相关函数。MySQL 8.0 又带来了一个新的把JSON转换为TABLE的函数JSON_TABLE，实现了JSON到表的转换。

举例一

我们看下简单的例子：

简单定义一个两级JSON 对象

mysql> set @ytt='{"name":[{"a":"ytt","b":"action"}, {"a":"dble","b":"shard"},{"a":"mysql","b":"oracle"}]}';Query OK, 0 rows affected (0.00 sec)

第一级：

mysql> select json_keys(@ytt);+-----------------+| json_keys(@ytt) |+-----------------+| ["name"] |+-----------------+1 row in set (0.00 sec)

第二级：

mysql> select json_keys(@ytt,'$.name[0]');+-----------------------------+| json_keys(@ytt,'$.name[0]') |+-----------------------------+| ["a", "b"] |+-----------------------------+1 row in set (0.00 sec)

我们使用MySQL 8.0 的JSON_TABLE 来转换 @ytt。

mysql> select * from json_table(@ytt,'$.name[*]' columns (f1 varchar(10) path '$.a', f2 varchar(10) path '$.b')) as tt;

+-------+--------+

| f1 | f2 |

+-------+--------+

| ytt | action |

| dble | shard |

| mysql | oracle |

+-------+--------+

3 rows in set (0.00 sec)

举例二

再来一个复杂点的例子，用的是EXPLAIN 的JSON结果集。

JSON 串 @json_str1。

set @json_str1 = ' { "query_block": { "select_id": 1, "cost_info": { "query_cost": "1.00" }, "table": { "table_name": "bigtable", "access_type": "const", "possible_keys": [ "id" ], "key": "id", "used_key_parts": [ "id" ], "key_length": "8", "ref": [ "const" ], "rows_examined_per_scan": 1, "rows_proced_per_join": 1, "filtered": "100.00", "cost_info": { "read_cost": "0.00", "eval_cost": "0.20", "prefix_cost": "0.00", "data_read_per_join": "176" }, "used_columns": [ "id", "log_time", "str1", "str2" ] } }}';

第一级：

mysql> select json_keys(@json_str1) as 'first_object';+-----------------+| first_object |+-----------------+| ["query_block"] |+-----------------+1 row in set (0.00 sec)

第二级：

mysql> select json_keys(@json_str1,'$.query_block') as 'second_object';+-------------------------------------+| second_object |+-------------------------------------+| ["table", "cost_info", "select_id"] |+-------------------------------------+1 row in set (0.00 sec)

第*：

mysql> select json_keys(@json_str1,'$.query_block.table') as 'third_object'\G*************************** 1. row ***************************third_object: ["key","ref","filtered","cost_info","key_length","table_name","access_type","used_columns","possible_keys","used_key_parts","rows_examined_per_scan","rows_proced_per_join"]1 row in set (0.01 sec)

第四级：

mysql> select json_extract(@json_str1,'$.query_block.table.cost_info') as 'forth_object'\G*************************** 1. row ***************************forth_object: {"eval_cost":"0.20","read_cost":"0.00","prefix_cost":"0.00","data_read_per_join":"176"}1 row in set (0.00 sec)

那我们把这个JSON 串转换为表。

SELECT * FROM JSON_TABLE(@json_str1,

"$.query_block"

COLUMNS(

rowid FOR ORDINALITY,

NESTED PATH '$.table'

COLUMNS (

a1_1 varchar(100) PATH '$.key',

a1_2 varchar(100) PATH '$.ref[0]',

a1_3 varchar(100) PATH '$.filtered',

nested path '$.cost_info'

columns (

a2_1 varchar(100) PATH '$.eval_cost' ,

a2_2 varchar(100) PATH '$.read_cost',

a2_3 varchar(100) PATH '$.prefix_cost',

a2_4 varchar(100) PATH '$.data_read_per_join'

a3 varchar(100) PATH '$.key_length',

a4 varchar(100) PATH '$.table_name',

a5 varchar(100) PATH '$.access_type',

a6 varchar(100) PATH '$.used_key_parts[0]',

a7 varchar(100) PATH '$.rows_examined_per_scan',

a8 varchar(100) PATH '$.rows_proced_per_join',

a9 varchar(100) PATH '$.key'

NESTED PATH '$.cost_info'

columns (

b1_1 varchar(100) path '$.query_cost'

c INT path "$.select_id"

)

) AS tt;

+-------+------+-------+--------+------+------+------+------+------+----------+-------+------+------+------+------+------+------+

| rowid | a1_1 | a1_2 | a1_3 | a2_1 | a2_2 | a2_3 | a2_4 | a3 | a4 | a5 | a6 | a7 | a8 | a9 | b1_1 | c |

+-------+------+-------+--------+------+------+------+------+------+----------+-------+------+------+------+------+------+------+

| 1 | id | const | 100.00 | 0.20 | 0.00 | 0.00 | 176 | 8 | bigtable | const | id | 1 | 1 | id | NULL | 1 |

+-------+------+-------+--------+------+------+------+------+------+----------+-------+------+------+------+------+------+------+

2 rows in set (0.00 sec)

当然，JSON_table 函数还有其他的用法，我这里不一一列举了，详细的参考手册。

请点击输入图片描述

修改回答

全部栏目

如何在java中获取mysql5.7版本里的json-CSDN论坛