Here is my scenario, I want to update the hourly_rate for the BOB to 600. How to extract the hourly_rate from the json_array mentioned below for the specific user BOB.
#data = [{
"Subject": "Maths",
"type": "paid",
"tutor": "MARY",
"hourly_rate": "500"
},
{
"Subject": "Maths",
"type": "paid",
"tutor": "BOB",
"hourly_rate": "700"
}]
Can I use JSON_SEARCH() to get the index by using Where Clause.
example:
"Select JSON_SET(#data,'$[*].hourly_rate', 600) Where 'Subject' = Maths and 'tutor' = 'BOB'";
I got this working. But I had to use a view in order to get cleaner code.
My answer is based on this one: https://stackoverflow.com/a/51563616/1688441
Update Query
Fiddle # https://www.db-fiddle.com/f/7MnPYEJW2uiGYaPhSSjtKa/1
UPDATE test
INNER JOIN getJsonArray ON getJsonArray.tutor = 'BOB'
SET test =
JSON_REPLACE(
test,
CONCAT('$[', getJsonArray.rowid - 1, '].hourly_rate'), 600);
select * from test;
Ddl
CREATE TABLE `test` (
`test` json DEFAULT NULL
);
INSERT INTO `test` (`test`)
VALUES ('[{
"Subject": "Maths",
"type": "paid",
"tutor": "MARY",
"hourly_rate": "500"
},
{
"Subject": "Maths",
"type": "paid",
"tutor": "BOB",
"hourly_rate": "700"
}]');
create view getJsonArray as
select data.*
from test, json_table(
test,
"$[*]"
COLUMNS(
rowid FOR ORDINALITY,
Subject VARCHAR(100) PATH "$.Subject" DEFAULT '111' ON EMPTY DEFAULT '999' ON ERROR,
type VARCHAR(100) PATH "$.type" DEFAULT '111' ON EMPTY DEFAULT '999' ON ERROR,
tutor VARCHAR(100) PATH "$.tutor" DEFAULT '111' ON EMPTY DEFAULT '999' ON ERROR,
hourly_rate JSON PATH "$.hourly_rate" DEFAULT '{"x": 333}' ON EMPTY
)
) data
;
Related
I have a table which has ID & JSON columns. ID is auto incrementing column. Here are my sample data.
Row 1
1 | {
"HeaderInfo":
{
"Name": "ABC",
"Period": "2010",
"Code": "123"
},
"HData":
[
{ "ID1": "1", "Value": "$1.00", "Code": "A", "Desc": "asdf" },
{ "ID1": "2", "Value": "$1.00", "Code": "B", "Desc": "pqr" },
{ "ID1": "3", "Value": "$1.00", "Code": "C", "Desc": "xyz" }
]
}
Row 2
2 | {
"HeaderInfo":
{
"Name": "ABC",
"Period": "2010",
"Code": "123"
},
"HData":
[
{ "ID1": "76", "Value": "$1.00", "Code": "X", "Desc": "asdf" },
{ "ID1": "25", "Value": "$1.00", "Code": "Y", "Desc": "pqr" },
{ "ID1": "52", "Value": "$1.00", "Code": "Z", "Desc": "lmno" },
{ "ID1": "52", "Value": "$1.00", "Code": "B", "Desc": "xyz" }
]
}
and it keep goes. Items inside the HData section is infinite. It can be any numbers of items.
On this JSON I need to update the Value = "$2.00" where "Code" is "B". I should be able to do this with 2 scenarios. My parameter inputs are #id=2, #code="B", #value="$2.00". #id sometimes will be null. So,
If #id is null then the update statement should go through all records and update the Value="$2.00" for all items inside the HData section which has Code="B".
If #id = 2 then the update statement should update only the second row which Id is 2 for the items which Code="b"
Appreciate your help in advance.
Thanks
See DB Fiddle for an example.
declare #id bigint = 2
, #code nvarchar(8) = 'B'
, #value nvarchar(8) = '$2.00'
update a
set json = JSON_MODIFY(json, '$.HData[' + HData.[key] + '].Value', #value)
from so75416277 a
CROSS APPLY OPENJSON (json, '$.HData') HData
CROSS APPLY OPENJSON (HData.Value, '$')
WITH (
ID1 bigint
, Value nvarchar(8)
, Code nvarchar(8)
, [Desc] nvarchar(8)
) as HDataItem
WHERE id = #id
AND HDataItem.Code = #Code
The update / set statement says we want to replace the value of json with a new generated value / functions exactly the same as it would in any other context; e.g. update a set json = 'something' from so75416277 a where a.column = 'some condition'
The JSON_MODIFY does the manipulation of our json.
The first input is the original json field's value
The second is the path to the value to be updated.
The third is the new value
'$.HData[' + HData.[key] + '].Value' says we go from our JSON's root ($), find the HData field, filter the array of values for the one we're after (i.e. key here is the array item's index), then use the Value field of this item.
key is a special term; where we don't have a WITH block accompanying our OPENJSON statement we get back 3 items: key, value and type; key being the identifier, value being the content, and type saying what sort of content that is.
CROSS APPLY allows us to perform logic on a value from a single DB rowto return potentially multiple rows; e.g. like a join but against its own contents.
OPENJSON (json, '$.HData') HData says to extract the HData field from our json column, and return this with the table alias HData; as we've not included a WITH, this HData column has 3 fields; key, value, and type, as mentioned above (this is the same key we used in our JSONMODIFY).
The next OPENJSON works on HData.Value; i.e. the contents of the array item under HData. Here we take the object from this array (i.e. that's the root from the current context; hence $), and use WITH to parse it into a specific structure; i.e. ID1, Value, Code, and Desc (brackets around Desc as it's a keyword). We give this the alias HDataItem.
Finally we filter for the bit of the data we're interested in; i.e. on id to get the row we want to update, then on HDataItem.Code so we only update those array items with code 'B'.
Try the below SP.
CREATE PROC usp_update_75416277
(
#id Int = null,
#code Varchar(15),
#value Varchar(15)
)
AS
BEGIN
SET NOCOUNT ON;
DECLARE #SQLStr Varchar(MAX)=''
;WITH CTE
AS
( SELECT ROW_NUMBER()OVER(PARTITION BY YourTable.Json ORDER BY (SELECT NULL))RowNo,*
FROM YourTable
CROSS APPLY OPENJSON(YourTable.Json,'$.HData')
WITH (
ID1 Int '$.ID1',
Value Varchar(20) '$.Value',
Code Varchar(20) '$.Code',
[Desc] Varchar(20) '$.Desc'
) HData
WHERE (#id IS NULL OR ID =#id)
)
SELECT #SQLStr=#SQLStr+' UPDATE YourTable
SET [JSON]=JSON_MODIFY(YourTable.Json,
''$.HData['+CONVERT(VARCHAR(15),RowNo-1)+'].Value'',
'''+CONVERT(VARCHAR(MAX),#value)+''') '+
'WHERE ID ='+CONVERT(Varchar(15),CTE.ID) +' '
FROM CTE
WHERE Code=#code
AND (#id IS NULL OR ID =#id)
EXEC( #SQLStr)
END
I have started using MySQL 8 and trying to update JSON data type in a mysql table
My table t1 looks as below:
# id group names
1100000 group1 [{"name": "name1", "type": "user"}, {"name": "name2", "type": "user"}, {"name": "techDept", "type": "dept"}]
I want to add user3 to the group1 and written below query:
update t1 set names = JSON_SET(names, "$.name", JSON_ARRAY('user3')) where group = 'group1';
However, the above query is not working
I suppose you want the result to be:
[{"name": "name1", "type": "user"}, {"name": "name2", "type": "user"}, {"name": "techDept", "type": "dept"}, {"name": "user3", "type": "user"}]
This should work:
UPDATE t1 SET names = JSON_ARRAY_APPEND(names, '$', JSON_OBJECT('name', 'user3', 'type', 'user'))
WHERE `group` = 'group1';
But it's not clear why you are using JSON at all. The normal way to store this data would be to create a second table for group members:
CREATE TABLE group_members (
member_id INT PRIMARY KEY,
`group` VARCHAR(10) NOT NULL,
member_type ENUM('user','dept') NOT NULL DEFAULT 'user',
name VARCHAR(10) NOT NULL
);
Then store one per row.
Adding a new member would be like:
INSERT INTO group_members
SET `group` = 'group1', name = 'user3';
So much simpler than using JSON!
I has table "Product" with two columns:
Id - Bigint primary key
data - Jsonb
Here example of json:
{
"availability": [
{
"qty": 10,
"price": 42511,
"store": {
"name": "my_best_store",
"hours": null,
"title": {
"en": null
},
"coords": null,
"address": null,
I insert json to column "data".
Here sql get find "my_best_store"
select *
from product
where to_tsvector(product.data) ## to_tsquery('my_best_store')
Nice. It's work fine.
But I need to find "my_best_store" only in section "availability".
I try this but result is empty:
select *
from product
where to_tsvector(product.data) ## to_tsquery('availability & my_best_store')
Assuming you want to search in the name attribute, you can do the following:
select p.*
from product p
where exists (select *
from jsonb_array_elements(p.data -> 'availability') as t(item)
where to_tsvector(t.item -> 'store' ->> 'name') ## to_tsquery('my_best_store'))
With Postgres 12, you can simplify that to:
select p.*
from product p
where to_tsvector(jsonb_path_query_array(data, '$.availability[*].store.name')) ## to_tsquery('my_best_store')
I have this mySql (ver 5.7.14) fields.
id shop_name json_string
1 shop_1 [{"your_number": "2", "player_id": "6789" }, {"your_number": "3", "player_id": "9877" }, {"your_number": "4", "player_id": "132456" }]
2 shop_2 [{"your_number": "2", "player_id": "6789" }, {"your_number": "3", "player_id": "9877" }, {"your_number": "4", "player_id": "132456" }]
how can I update string based on id and JSON your_number?
For example I'd like remove your_number = 3 string where id = 2
Result:
id shop_name json_string
2 shop_2 [{"your_number": "2", "player_id": "6789" }, {"your_number": "4", "player_id": "132456" }]
thanks!
I tested this and it works:
UPDATE Shops
SET json_string = JSON_REMOVE(
json_string,
SUBSTRING_INDEX(
JSON_UNQUOTE(JSON_SEARCH(json_string, 'one', '3', null, '$[*].your_number')), '.', 1)
)
WHERE id = 2;
I have to comment that this does NOT make JSON seem like a good idea for your application.
If you have a requirement to manipulate JSON documents, it would be easier to store your database as a normalized set of tables.
CREATE TABLE Shops (
id INT PRIMARY KEY,
shop_name VARCHAR(10)
);
CREATE TABLE ShopPlayers (
shop_id INT NOT NULL,
your_number INT NOT NULL,
player_id INT NOT NULL,
PRIMARY KEY (shop_id, your_number)
);
Now you can remove a player with more straightforward SQL:
DELETE FROM ShopPlayers WHERE shop_id = 2 AND your_number = 3;
I've been watching questions about mysql and json on Stack Overflow for a while, and I have to say that in virtually all cases I've seen, it would be better if the tables were designed in a traditional way, according to rules of normalization. The SQL queries would be easier to write and easier to debug, they would run faster, and the database would store the data more efficiently.
We recently upgraded our backend DB from SQL Server 2012 to SQL Server 2016 which I realized supports JSON objects. One of our web services return data in the below format, and I am trying to consume it directly using OPENJSON function.
{
"RESULT_1": {
"columns": ["col1", "col2", "col3", "col4"],
"data": [
["0", null, "12345", "other"],
["1", "a", "54321", "MA"],
["0", null, "76543", "RI"]
]
}
}
I want to make sure that I read the column names from the "columns section" and make sure that the correct data is read and pushed in SQL Server 2016.
DECLARE #Json_Array2 nvarchar(max) = '{
"RESULT_1": {
"columns": ["col1", "col2", "col3", "col4"],
"data": [
["0", null, "12345", "other"],
["1", "a", "54321", "MA"],
["0", null, "76543", "RI"]
]
} }';
SELECT [key], value
FROM OPENJSON(#Json_Array2,'$.RESULT_1.columns')
SELECT [key], value
FROM OPENJSON(#Json_Array2,'$.RESULT_1.data')
With above statements, I am able to extract the columns and the data array. Would it be possible to dump this data in a flat table (already existing) with the same column names?
I am able to see all the values of one particular row by:
SELECT [key], value
FROM OPENJSON(#Json_Array2,'$.RESULT_1.data[0]')
key value
0 0
1 NULL
2 12345
3 other
Any pointers are appreciated.
Thank you
If I understand correctly you are trying to extract all elements from the "data" array
Col1 Col2 Col3 Col4
0 NULL 12345 other
1 a 54321 MA
0 NULL 76543 RI
Suppose your Json Structure will not change you can achieve that using the following query:
SET NOCOUNT ON
IF OBJECT_ID ('tempdb..##ToPvt') IS NOT NULL DROP TABLE ##ToPvt
DECLARE #Cmd NVARCHAR(MAX)=''
DECLARE #Table TABLE (Col1 nvarchar(100), Col2 nvarchar(100), Col3 nvarchar(100) , Col4 nvarchar(100))
DECLARE #Json_Array2 nvarchar(max) = '{
"RESULT_1": {
"columns": ["col1", "col2", "col3", "col4"],
"data": [
["0", null, "12345", "other"],
["1", "a", "54321", "MA"],
["0", null, "76543", "RI"]
]
} }';
;WITH Cols ([Key], [Value]) as
(
SELECT [key], value
FROM OPENJSON(#Json_Array2,'$.RESULT_1.columns')
)
, [Rows] as
(
SELECT ROW_NUMBER () OVER (ORDER BY [Key]) Seq, [key], value
FROM OPENJSON(#Json_Array2,'$.RESULT_1.data')
)
,ToPvt as
(
SELECT c.[Key]+1 Cols, x.Value , 'col'+CONVERT(VARCHAR(10),ROW_NUMBER () OVER (PARTITION BY c.Value ORDER BY t.[Key])) Seq
FROM [Rows] t
INNER JOIN Cols C
ON t.[key] = c.[key]
CROSS APPLY OPENJSON(t.value) X
)
SELECT *
INTO ##ToPvt
FROM ToPvt
;WITH Final (Cmd) as
(
SELECT DISTINCT 'SELECT [col1], [col2], [col3],[col4] FROM ##ToPvt
PIVOT
(
MAX([Value]) FOR Seq IN ([col1], [col2], [col3],[col4])
) T
WHERE Cols = '+CONVERT(VARCHAR(10),Cols)+'
;'
FROM ##ToPvt
)
SELECT #Cmd += Cmd
FROM Final
INSERT INTO #Table
EXEC sp_executesql #Cmd
SELECT *
FROM #Table