I have a table, let's call it myTable with the following structure
ID | data
____________
uuid | jsonb
The data in the jsonb field is an array structured in the following way:
[
{
"valueA": "500",
"valueB": "ABC",
},
{
"valueA": "300",
"valueB": "CDE",
}
]
What I want to do is transform that data by converting valueB to be an object, with newKey that corresposnds to the current value of "valueB"
This is the result I want:
[
{
"valueA": "500",
"valueB": {"newKey": "ABC"},
},
{
"valueA": "300",
"valueB": {"newKey": "CDE"},
}
]
I tried doing it with the following query:
UPDATE myTable
SET data = (
SELECT jsonb_agg (
jsonb_insert(elems, '{valueB, newKey}', elems->'valueB')
)
FROM jsonb_array_elements(data) elems
);
It doesn't seem to do anything unfortunately.
Another idea I have is to create a new field, initialize it as an object, then delete the old onde and rename the new one, but it seems there must be a way to do what I want directly?
Solved using jsonb_build_object()
UPDATE myTable
SET data = (
SELECT jsonb_agg (
jsonb_insert(elems, '{valueB}', jsonb_build_object('newKey', elems->'valueB'))
)
FROM jsonb_array_elements(data) elems
);
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,
''$.HData['+CONVERT(VARCHAR(15),RowNo-1)+'].Value'',
'''+CONVERT(VARCHAR(MAX),#value)+''') '+
'WHERE ID ='+CONVERT(Varchar(15),CTE.ID) +' '
FROM CTE
WHERE Code=#code
AND (#id IS NULL OR ID =#id)
EXEC( #SQLStr)
END
I have a JSON column "jobs" that looks like this:
[
{
"id": "1",
"done": "100",
"target": "100",
"startDate": "123123132",
"lastAction": "123123132",
"status": "0"
},
{
"id": "2",
"done": "10",
"target": "20",
"startDate": "2312321",
"lastAction": "2312321",
"status": "1"
}
]
I want to filter the array by object key values. For example: To find all items that have target > done, status != 0 and lastAction is yesterday to get response like this:
[
{
"id": "1",
"done": "19",
"target": "100",
"startDate": "123123132",
"lastAction": "123123132",
"status": "0"
}
]
I know I can extract the data to a JSON_TABLE() to do the filtering but I don't get the original object back(unless I recreate it back) and the solution is not dynamic.
Can this kind of array filtering can really be done in MySQL?
SELECT JSON_PRETTY(JSON_EXTRACT(jobs.jobs, CONCAT('$[', j.rownum-1, ']'))) AS object
FROM jobs
CROSS JOIN JSON_TABLE(
jobs.jobs, '$[*]' COLUMNS(
rownum for ordinality,
done int path '$.done',
target int path '$.target',
status int path '$.status'
)
) as j
WHERE j.target > j.done AND j.status != 0;
You also mentioned a condition on lastAction, but the example values you gave are not valid dates, so I'll leave that enhancement to you. The example above demonstrates the technique.
Yes it is possible to do it using the JSON_EXTRACT and JSON_SEARCH functions.
Let's say your table is named tbl_Jobs and the jobs column is of type JSON.
SELECT * FROM tbl_Jobs
WHERE JSON_EXTRACT(jobs, "$[*].target") = JSON_EXTRACT(jobs, "$[*].done")
AND JSON_EXTRACT(jobs, "$[*].status") != 0
AND JSON_SEARCH(jobs, 'one', DATE_SUB(CURDATE(), INTERVAL 1 DAY), NULL, "$[*].lastAction") IS NOT NULL
for example I have a table:
CREATE TABLE fruit(id bigint, data jsonb);
and a row for example is:
1,
{
"type": "pinapple",
"store1": {
"first_added": "<some timestamp>",
"price": "10",
"store_id": "1",
"comments": "some comments..."
},
"store2": {
"first_added": "<some timestamp>",
"price": "11",
"store_id": "2",
"comments": "some comments..."
},
.... more stores
}
In case of update I have the fruit id and store data :
1,
"store1": {
"price": "12",
"store_id": "1",
"comments": "some comments...V2"
}
I want to update entire store object in fruit entry (for store1), except the first_added field.
Any idea how I can accomplish it via JSONB operators or functions?
Thanks
You can use
UPDATE fruit
SET data = data || jsonb_set($1::jsonb, '{store1,first_added}', data#>'{store1,first_added}')
WHERE id = 1;
(online demo)
where the parameter $1 is set to the value {"store1": {"price": "12", "store_id": "1", "comments": "some comments...V2"}}.
Or if you need the key to be dynamic, use
UPDATE fruit
SET data = jsonb_set(data, ARRAY[$2::text], jsonb_set($1::jsonb, '{first_added}', data->$2->'first_added'))
WHERE id = 1;
(online demo)
You can use the jsonb_set function to change the desired element, then use the jsonb_build_object function to create a new dataset, then concatenate the data with the || operator to keep the rest of the data(first_added,...)
update table1
set data = jsonb_set(data, '{store1}', jsonb_build_object('first_added', data->'store1'->'first_added', 'price', 12, 'store_id', 1, 'comments', 'some comments...V2'))
where id = 1;
Demo in DBfiddle
I have a JSONB array below
[
{
"name": "test",
"age": "21",
"phone": "6589",
"town": "54"
},
{
"name": "test12",
"age": "67",
"phone": "6546",
"town": "54"
},
{
"name": "test123",
"age": "21",
"phone": "6589",
"town": "54"
},
{
"name": "test125",
"age": "67",
"phone": "6546",
"town": "54"
}
]
Now I want to delete the object if the name is test or test125. How to delete multiple or single values in JSONB array?
An update statement including a subquery, which eleminates the unwanted elements with NOT IN operator and aggregates the rest by using jsonb_agg() function, would find out this operation :
Choose this :
1. UPDATE tab
SET jsdata = t.js_new
FROM
(
SELECT jsonb_agg( (jsdata ->> ( idx-1 )::int)::jsonb ) AS js_new
FROM tab
CROSS JOIN jsonb_array_elements(jsdata)
WITH ORDINALITY arr(j,idx)
WHERE j->>'name' NOT IN ('test','test125')
) t
or this one :
2. WITH t AS (
SELECT jsonb_agg( (jsdata ->> ( idx-1 )::int)::jsonb ) AS js_new
FROM tab
CROSS JOIN jsonb_array_elements(jsdata)
WITH ORDINALITY arr(j,idx)
WHERE j->>'name' NOT IN ('test','test125')
)
UPDATE tab
SET jsdata = js_new
FROM t
Demo
If you have the Postgres 12, you can use jsonb_path_query_array function to filter the jsonb here is the sample for your question:
with t (j) as ( values ('[
{"name":"test","age":"21","phone":"6589","town":"54"},
{"name":"test12","age":"67","phone":"6546","town":"54"},
{"name":"test123","age":"21","phone":"6589","town":"54"},
{"name":"test125","age":"67","phone":"6546","town":"54"}
]'::jsonb) )
select jsonb_path_query_array(j,
'$[*] ? (#.name != "test" && #.name != "test125")')
from t;
more info on https://www.postgresql.org/docs/12/functions-json.html
I would create a function that does that:
create function remove_array_elements(p_data jsonb, p_key text, p_value text[])
returns jsonb
as
$$
select jsonb_agg(e order by idx)
from jsonb_array_elements(p_data) with ordinality as t(e,idx)
where t.e ->> p_key <> ALL (p_value) ;
$$
language sql
immutable;
Then you can use it like this:
update the_table
set the_column = remove_array_elements(the_column, 'name', array['test', 'test125'])
where id = ...;
Online example
I want to update a JSON object in MySQL.
TABLE
id (int-11, not_null, auto_inc)
labels (json)
JSON Beautify
[
{
"tagname": "FOO",
"category": "CAT_1",
"isnew": "no",
"isdeleted": "no"
},
{
"tagname": "BAR",
"category": "CAT_2",
"isnew": "yes",
"isdeleted": "no"
}
]
I want to add a new TAG element (JSON OBJECT) next to the existing objects, but without SELECTing first the field and updating all the field with text.
I have Google a lot but I can not understand yet the MySQL's JSON treatment. I have just learned how to insert data like this:
INSERT INTO `table_name`(
`id` ,
`labels`
)
VALUES(
null ,
JSON_ARRAY
(
JSON_OBJECT
(
"tagname", "FOO",
"category", "CAT_1",
"isnew", "no",
"isdeleted", "no"
),
JSON_OBJECT
(
"tagname", "BAR",
"category", "CAT_2",
"isnew", "yes",
"isdeleted", "no"
)
)
);
You could use JSON_ARRAY_APPEND:
UPDATE tab
SET labels = JSON_ARRAY_APPEND(labels, '$',
JSON_OBJECT
(
"tagname", "BARX",
"category", "CAT_3",
"isnew", "yes",
"isdeleted", "no"
)
)
WHERE ID = 1;
DB-Fiddle.com demo