I'm loving the new JSON functions in MySQL 5.7, but running into a block trying to merge values from JSON into a normal table structure.
我喜欢MySQL 5.7中的新JSON函数,但遇到了试图将JSON中的值合并到普通表结构中的块。
Grabbing JSON, manipulating and extracting arrays from it etc. is simple. JSON_EXTRACT all the way. But what about the inverse, going from a JSON array to rows? Perhaps I am dense on the existing MySQL JSON functionality, but I haven't been able to figure that one out.
从中获取JSON,操作和提取数组等很简单。一路JSON_EXTRACT。但是从JSON数组到行的逆转呢?也许我对现有的MySQL JSON功能非常密切,但我还是无法解决这个问题。
For example, say I have a JSON array and want to insert a row for each element in the array with its value? The only way I have found is to write a bunch of JSON_EXTRACT(... '$[0]') JSON_EXTRACT(... '$[1]') etc and union them together.
例如,假设我有一个JSON数组,并希望为数组中的每个元素插入一行及其值?我找到的唯一方法是编写一堆JSON_EXTRACT(...'$ [0]')JSON_EXTRACT(...'$ [1]')等并将它们合并在一起。
Or, say I have a JSON array and want to GROUP_CONCAT() it to a single comma separated string?
或者,说我有一个JSON数组,并希望GROUP_CONCAT()它到一个逗号分隔的字符串?
In other words, I know I can do this:
换句话说,我知道我可以这样做:
SET @j = '[1, 2, 3]';
SELECT GROUP_CONCAT(JSON_EXTRACT(@j, CONCAT('$[', x.n, ']'))) AS val
FROM
(
SELECT 0 AS n
UNION
SELECT 1 AS n
UNION
SELECT 2 AS n
UNION
SELECT 3 AS n
UNION
SELECT 4 AS n
UNION
SELECT 5 AS n
) x
WHERE x.n < JSON_LENGTH(@j);
But that hurts my eyes. And my heart.
但这伤害了我的眼睛。而我的心。
How can I do something like:
我怎么能这样做:
SET @j = '[1, 2, 3]';
SELECT GROUP_CONCAT(JSON_EXTRACT(@j, '$[ * ]'))
... and have it concatenate together the values in the array vs. the JSON array itself?
...并将它与数组中的值和JSON数组本身连接在一起?
I guess what I'm looking for here is some sort of JSON_SPLIT along the lines of:
我想我在这里寻找的是某种JSON_SPLIT:
SET @j = '[1, 2, 3]';
SELECT GROUP_CONCAT(val)
FROM
JSON_SPLIT(JSON_EXTRACT(@j, '$[ * ]'), '$')
If MySQL had a proper STRING_SPLIT(val, 'separator') table returning function, I could hack it (escaping be damned), but that's not available either.
如果MySQL有一个正确的STRING_SPLIT(val,'separator')表返回函数,我可以破解它(逃避被诅咒),但那也不可用。
3 个解决方案
#1
11
It's true that it's not a good idea to denormalize into JSON, but sometimes you need to deal with JSON data, and there's a way to extract a JSON array into rows in a query.
确实,将规范化为JSON并不是一个好主意,但有时您需要处理JSON数据,并且有一种方法可以将JSON数组提取到查询中的行中。
The trick is to perform a join on a temporary or inline table of indexes, which gives you a row for each non-null value in a JSON array. I.e., if you have a table with values 0, 1, and 2 that you join to a JSON array “fish” with two entries, then fish[0] matches 0, resulting in one row, and fish[1] matches 1, resulting in a second row, but fish[2] is null so it doesn't match the 2 and doesn't produce a row in the join. You need as many numbers in the index table as the max length of any array in your JSON data. It's a bit of a hack, and it's about as painful as the OP's example, but it's very handy.
诀窍是在临时或内联索引表上执行连接,这为JSON数组中的每个非空值提供了一行。即,如果你有一个值为0,1和2的表,你加入一个带有两个条目的JSON数组“fish”,那么fish [0]匹配0,结果是一行,fish [1]匹配1,导致第二行,但fish [2]为null,因此它与2不匹配,并且在连接中不产生行。索引表中需要的数字与JSON数据中任何数组的最大长度一样多。这有点像黑客,它和OP的例子一样痛苦,但它非常方便。
Example (requires MySQL 5.7.8 or later):
示例(需要MySQL 5.7.8或更高版本):
CREATE TABLE t1 (rec_num INT, jdoc JSON);
INSERT INTO t1 VALUES
(1, '{"fish": ["red", "blue"]}'),
(2, '{"fish": ["one", "two", "three"]}');
SELECT
rec_num,
idx,
JSON_EXTRACT(jdoc, CONCAT('$.fish[', idx, ']')) AS fishes
FROM t1
-- Inline table of sequential values to index into JSON array
JOIN (
SELECT 0 AS idx UNION
SELECT 1 AS idx UNION
SELECT 2 AS idx UNION
-- ... continue as needed to max length of JSON array
SELECT 3
) AS indexes
WHERE JSON_EXTRACT(jdoc, CONCAT('$.fish[', idx, ']')) IS NOT NULL
ORDER BY rec_num, idx;
The result is:
结果是:
+---------+-----+---------+
| rec_num | idx | fishes |
+---------+-----+---------+
| 1 | 0 | "red" |
| 1 | 1 | "blue" |
| 2 | 0 | "one" |
| 2 | 1 | "two" |
| 2 | 2 | "three" |
+---------+-----+---------+
It looks like the MySQL team may add a JSON_TABLE function in MySQL 8 to make all this easier. (http://mysqlserverteam.com/mysql-8-0-labs-json-aggregation-functions/)
看起来MySQL团队可能会在MySQL 8中添加一个JSON_TABLE函数来使这一切变得更容易。 (http://mysqlserverteam.com/mysql-8-0-labs-json-aggregation-functions/)
#2
1
In My Case, JSON
Function was not available so I used a hack. As mentioned by Chris MYSQL do not have STRING_SPLIT
but it does have substring_index
.
在我的情况下,JSON功能不可用所以我使用了黑客。正如Chris MYSQL所提到的,没有STRING_SPLIT但它确实有substring_index。
For the input
用于输入
{
"requestId":"BARBH17319901529",
"van":"0xxxxx91317508",
"source":"AxxxS",
"txnTime":"15-11-2017 14:08:22"
}
You can use:
您可以使用:
trim(
replace(
substring_index(
substring(input,
locate('requestid',input)
+ length('requestid')
+ 2), ',', 1), '"', '')
) as Requestid`
The output will be:
输出将是:
BARBH17319901529
You can modify according to your requirement.
您可以根据您的要求进行修改。
#3
0
I was working in a report where there was a big json array list in one column. I modified the datamodel to store the relationship 1 to * instead of storing everything in one single column. For doing this process, I had to use a while in a stored procedure since I do not know the maximum size:
我在一份报告中工作,其中一列中有一个大的json数组列表。我修改了数据模型以将关系1存储到*而不是将所有内容存储在一个列中。为了完成这个过程,我不得不在存储过程中使用一段时间,因为我不知道最大大小:
DROP PROCEDURE IF EXISTS `test`;
DELIMITER #
CREATE PROCEDURE `test`()
PROC_MAIN:BEGIN
DECLARE numNotes int;
DECLARE c int;
DECLARE pos varchar(10);
SET c = 0;
SET numNotes = (SELECT
ROUND (
(
LENGTH(debtor_master_notes)
- LENGTH( REPLACE ( debtor_master_notes, "Id", "") )
) / LENGTH("Id")
) AS countt FROM debtor_master
order by countt desc Limit 1);
DROP TEMPORARY TABLE IF EXISTS debtorTable;
CREATE TEMPORARY TABLE debtorTable(debtor_master_id int(11), json longtext, note int);
WHILE(c <numNotes) DO
SET pos = CONCAT('$[', c, ']');
INSERT INTO debtorTable(debtor_master_id, json, note)
SELECT debtor_master_id, JSON_EXTRACT(debtor_master_notes, pos), c+1
FROM debtor_master
WHERE debtor_master_notes IS NOT NULL AND debtor_master_notes like '%[%' AND JSON_EXTRACT(debtor_master_notes, pos) IS NOT NULL AND JSON_EXTRACT(debtor_master_notes, pos) IS NOT NULL;
SET c = c + 1;
END WHILE;
SELECT * FROM debtorTable;
END proc_main #
DELIMITER ;
#1
11
It's true that it's not a good idea to denormalize into JSON, but sometimes you need to deal with JSON data, and there's a way to extract a JSON array into rows in a query.
确实,将规范化为JSON并不是一个好主意,但有时您需要处理JSON数据,并且有一种方法可以将JSON数组提取到查询中的行中。
The trick is to perform a join on a temporary or inline table of indexes, which gives you a row for each non-null value in a JSON array. I.e., if you have a table with values 0, 1, and 2 that you join to a JSON array “fish” with two entries, then fish[0] matches 0, resulting in one row, and fish[1] matches 1, resulting in a second row, but fish[2] is null so it doesn't match the 2 and doesn't produce a row in the join. You need as many numbers in the index table as the max length of any array in your JSON data. It's a bit of a hack, and it's about as painful as the OP's example, but it's very handy.
诀窍是在临时或内联索引表上执行连接,这为JSON数组中的每个非空值提供了一行。即,如果你有一个值为0,1和2的表,你加入一个带有两个条目的JSON数组“fish”,那么fish [0]匹配0,结果是一行,fish [1]匹配1,导致第二行,但fish [2]为null,因此它与2不匹配,并且在连接中不产生行。索引表中需要的数字与JSON数据中任何数组的最大长度一样多。这有点像黑客,它和OP的例子一样痛苦,但它非常方便。
Example (requires MySQL 5.7.8 or later):
示例(需要MySQL 5.7.8或更高版本):
CREATE TABLE t1 (rec_num INT, jdoc JSON);
INSERT INTO t1 VALUES
(1, '{"fish": ["red", "blue"]}'),
(2, '{"fish": ["one", "two", "three"]}');
SELECT
rec_num,
idx,
JSON_EXTRACT(jdoc, CONCAT('$.fish[', idx, ']')) AS fishes
FROM t1
-- Inline table of sequential values to index into JSON array
JOIN (
SELECT 0 AS idx UNION
SELECT 1 AS idx UNION
SELECT 2 AS idx UNION
-- ... continue as needed to max length of JSON array
SELECT 3
) AS indexes
WHERE JSON_EXTRACT(jdoc, CONCAT('$.fish[', idx, ']')) IS NOT NULL
ORDER BY rec_num, idx;
The result is:
结果是:
+---------+-----+---------+
| rec_num | idx | fishes |
+---------+-----+---------+
| 1 | 0 | "red" |
| 1 | 1 | "blue" |
| 2 | 0 | "one" |
| 2 | 1 | "two" |
| 2 | 2 | "three" |
+---------+-----+---------+
It looks like the MySQL team may add a JSON_TABLE function in MySQL 8 to make all this easier. (http://mysqlserverteam.com/mysql-8-0-labs-json-aggregation-functions/)
看起来MySQL团队可能会在MySQL 8中添加一个JSON_TABLE函数来使这一切变得更容易。 (http://mysqlserverteam.com/mysql-8-0-labs-json-aggregation-functions/)
#2
1
In My Case, JSON
Function was not available so I used a hack. As mentioned by Chris MYSQL do not have STRING_SPLIT
but it does have substring_index
.
在我的情况下,JSON功能不可用所以我使用了黑客。正如Chris MYSQL所提到的,没有STRING_SPLIT但它确实有substring_index。
For the input
用于输入
{
"requestId":"BARBH17319901529",
"van":"0xxxxx91317508",
"source":"AxxxS",
"txnTime":"15-11-2017 14:08:22"
}
You can use:
您可以使用:
trim(
replace(
substring_index(
substring(input,
locate('requestid',input)
+ length('requestid')
+ 2), ',', 1), '"', '')
) as Requestid`
The output will be:
输出将是:
BARBH17319901529
You can modify according to your requirement.
您可以根据您的要求进行修改。
#3
0
I was working in a report where there was a big json array list in one column. I modified the datamodel to store the relationship 1 to * instead of storing everything in one single column. For doing this process, I had to use a while in a stored procedure since I do not know the maximum size:
我在一份报告中工作,其中一列中有一个大的json数组列表。我修改了数据模型以将关系1存储到*而不是将所有内容存储在一个列中。为了完成这个过程,我不得不在存储过程中使用一段时间,因为我不知道最大大小:
DROP PROCEDURE IF EXISTS `test`;
DELIMITER #
CREATE PROCEDURE `test`()
PROC_MAIN:BEGIN
DECLARE numNotes int;
DECLARE c int;
DECLARE pos varchar(10);
SET c = 0;
SET numNotes = (SELECT
ROUND (
(
LENGTH(debtor_master_notes)
- LENGTH( REPLACE ( debtor_master_notes, "Id", "") )
) / LENGTH("Id")
) AS countt FROM debtor_master
order by countt desc Limit 1);
DROP TEMPORARY TABLE IF EXISTS debtorTable;
CREATE TEMPORARY TABLE debtorTable(debtor_master_id int(11), json longtext, note int);
WHILE(c <numNotes) DO
SET pos = CONCAT('$[', c, ']');
INSERT INTO debtorTable(debtor_master_id, json, note)
SELECT debtor_master_id, JSON_EXTRACT(debtor_master_notes, pos), c+1
FROM debtor_master
WHERE debtor_master_notes IS NOT NULL AND debtor_master_notes like '%[%' AND JSON_EXTRACT(debtor_master_notes, pos) IS NOT NULL AND JSON_EXTRACT(debtor_master_notes, pos) IS NOT NULL;
SET c = c + 1;
END WHILE;
SELECT * FROM debtorTable;
END proc_main #
DELIMITER ;