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
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,
''$.HData['+CONVERT(VARCHAR(15),RowNo-1)+'].Value'',
'''+CONVERT(VARCHAR(MAX),#value)+''') '+
'WHERE ID ='+CONVERT(Varchar(15),CTE.ID) +' '
FROM CTE
WHERE Code=#code
AND (#id IS NULL OR ID =#id)
EXEC( #SQLStr)
END
I have a table, let's call it myTable with the following structure
ID | data
____________
uuid | jsonb
The data in the jsonb field is an array structured in the following way:
[
{
"valueA": "500",
"valueB": "ABC",
},
{
"valueA": "300",
"valueB": "CDE",
}
]
What I want to do is transform that data by converting valueB to be an object, with newKey that corresposnds to the current value of "valueB"
This is the result I want:
[
{
"valueA": "500",
"valueB": {"newKey": "ABC"},
},
{
"valueA": "300",
"valueB": {"newKey": "CDE"},
}
]
I tried doing it with the following query:
UPDATE myTable
SET data = (
SELECT jsonb_agg (
jsonb_insert(elems, '{valueB, newKey}', elems->'valueB')
)
FROM jsonb_array_elements(data) elems
);
It doesn't seem to do anything unfortunately.
Another idea I have is to create a new field, initialize it as an object, then delete the old onde and rename the new one, but it seems there must be a way to do what I want directly?
Solved using jsonb_build_object()
UPDATE myTable
SET data = (
SELECT jsonb_agg (
jsonb_insert(elems, '{valueB}', jsonb_build_object('newKey', elems->'valueB'))
)
FROM jsonb_array_elements(data) elems
);
SELECT JSON_query([json], '$') from mytable
Returns fine the contents of [json] field
SELECT JSON_query([json], '$.Guid') from mytable
Returns null
SELECT JSON_query([json], '$.Guid[1]') from mytable
Returns null
I've also now tried:
SELECT JSON_query([json], '$[1].Guid')
SELECT JSON_query([json], '$[2].Guid')
SELECT JSON_query([json], '$[3].Guid')
SELECT JSON_query([json], '$[4].Guid')
and they all return null
So I'm stuck as to figuring out how create the path to get to the info. Maybe SQL Server json_query can't handle the null as the first array?
Below is the string that is stored inside of the [json] field in the database.
[
null,
{
"Round": 1,
"Guid": "15f4fe9d-403c-4820-8e35-8a8c8d78c33b",
"Team": "2",
"PlayerNumber": "78"
},
{
"Round": 1,
"Guid": "8e91596b-cc33-4ce7-bfc0-ac3d1dc5eb67",
"Team": "2",
"PlayerNumber": "54"
},
{
"Round": 1,
"Guid": "f53cd74b-ed5f-47b3-aab5-2f3790f3cd34",
"Team": "1",
"PlayerNumber": "23"
},
{
"Round": 1,
"Guid": "30297678-f2cf-4b95-a789-a25947a4d4e6",
"Team": "1",
"PlayerNumber": "11"
}
]
You need to follow the comments below your question. I'll just summarize them:
Probably the most appropriate approach in your case is to use OPENJSON() with explicit schema (the WITH clause).
JSON_QUERY() extracts a JSON object or a JSON array from a JSON string and returns NULL. If the path points to a scalar JSON value, the function returns NULL in lax mode and an error in strictmode. The stored JSON doesn't have a $.Guid key, so NULL is the actual result from the SELECT JSON_query([json], '$.Guid') FROM mytable statement.
The following statements provide a working solution to your problem:
Table:
SELECT *
INTO Data
FROM (VALUES
(N'[
null,
{
"Round": 1,
"Guid": "15f4fe9d-403c-4820-8e35-8a8c8d78c33b",
"Team": "2",
"PlayerNumber": "78",
"TheProblem": "doesn''t"
},
{
"Round": 1,
"Guid": "8e91596b-cc33-4ce7-bfc0-ac3d1dc5eb67",
"Team": "2",
"PlayerNumber": "54"
},
{
"Round": 1,
"Guid": "f53cd74b-ed5f-47b3-aab5-2f3790f3cd34",
"Team": "1",
"PlayerNumber": "23"
},
{
"Round": 1,
"Guid": "30297678-f2cf-4b95-a789-a25947a4d4e6",
"Team": "1",
"PlayerNumber": "11"
}
]')
) v (Json)
Statements:
SELECT j.Guid
FROM Data d
OUTER APPLY OPENJSON(d.Json) WITH (
Guid uniqueidentifier '$.Guid',
Round int '$.Round',
Team nvarchar(1) '$.Team',
PlayerNumber nvarchar(2) '$.PlayerNumber'
) j
SELECT JSON_VALUE(j.[value], '$.Guid')
FROM Data d
OUTER APPLY OPENJSON(d.Json) j
Result:
Guid
------------------------------------
15f4fe9d-403c-4820-8e35-8a8c8d78c33b
8e91596b-cc33-4ce7-bfc0-ac3d1dc5eb67
f53cd74b-ed5f-47b3-aab5-2f3790f3cd34
30297678-f2cf-4b95-a789-a25947a4d4e6
I want to update a JSON object in MySQL.
TABLE
id (int-11, not_null, auto_inc)
labels (json)
JSON Beautify
[
{
"tagname": "FOO",
"category": "CAT_1",
"isnew": "no",
"isdeleted": "no"
},
{
"tagname": "BAR",
"category": "CAT_2",
"isnew": "yes",
"isdeleted": "no"
}
]
I want to add a new TAG element (JSON OBJECT) next to the existing objects, but without SELECTing first the field and updating all the field with text.
I have Google a lot but I can not understand yet the MySQL's JSON treatment. I have just learned how to insert data like this:
INSERT INTO `table_name`(
`id` ,
`labels`
)
VALUES(
null ,
JSON_ARRAY
(
JSON_OBJECT
(
"tagname", "FOO",
"category", "CAT_1",
"isnew", "no",
"isdeleted", "no"
),
JSON_OBJECT
(
"tagname", "BAR",
"category", "CAT_2",
"isnew", "yes",
"isdeleted", "no"
)
)
);
You could use JSON_ARRAY_APPEND:
UPDATE tab
SET labels = JSON_ARRAY_APPEND(labels, '$',
JSON_OBJECT
(
"tagname", "BARX",
"category", "CAT_3",
"isnew", "yes",
"isdeleted", "no"
)
)
WHERE ID = 1;
DB-Fiddle.com demo
I'm using PostgreSQL 9.4.5. I'd like to update a jsonb column.
My table is structured this way:
CREATE TABLE my_table (
gid serial PRIMARY KEY,
"data" jsonb
);
JSON strings are like this:
{"files": [], "ident": {"id": 1, "country": null, "type ": "20"}}
The following SQL doesn't do the job (syntax error - SQL state = 42601):
UPDATE my_table SET "data" -> 'ident' -> 'country' = 'Belgium';
Is there a way to achieve that?
Ok there are two functions:
create or replace function set_jsonb_value(p_j jsonb, p_key text, p_value jsonb) returns jsonb as $$
select jsonb_object_agg(t.key, t.value) from (
select
key,
case
when jsonb_typeof(value) = 'object' then set_jsonb_value(value, p_key, p_value)
when key = p_key then p_value
else value
end as value from jsonb_each(p_j)) as t;
$$ language sql immutable;
First one just changes the value of the existing key regardless of the key path:
postgres=# select set_jsonb_value(
'{"files": [], "country": null, "ident": {"id": 1, "country": null, "type ": "20"}}',
'country',
'"foo"');
set_jsonb_value
--------------------------------------------------------------------------------------
{"files": [], "ident": {"id": 1, "type ": "20", "country": "foo"}, "country": "foo"}
(1 row)
create or replace function set_jsonb_value(p_j jsonb, p_path text[], p_value jsonb) returns jsonb as $$
select jsonb_object_agg(t.key, t.value) from (
select
key,
case
when jsonb_typeof(value) = 'object' then set_jsonb_value(value, p_path[2:1000], p_value)
when key = p_path[1] then p_value
else value
end as value from jsonb_each(p_j)
union all
select
p_path[1],
case
when array_length(p_path,1) = 1 then p_value
else set_jsonb_value('{}', p_path[2:1000], p_value) end
where not p_j ? p_path[1]) as t;
$$ language sql immutable;
Second one changes the value of the existing key using the path specified or creates it if the path does not exists:
postgres=# select set_jsonb_value(
'{"files": [], "country": null, "ident": {"id": 1, "type ": "20"}}',
'{ident,country}'::text[],
'"foo"');
set_jsonb_value
-------------------------------------------------------------------------------------
{"files": [], "ident": {"id": 1, "type ": "20", "country": "foo"}, "country": null}
(1 row)
postgres=# select set_jsonb_value(
'{"files": [], "country": null, "ident": {"id": 1, "type ": "20"}}',
'{ident,foo,bar,country}'::text[],
'"foo"');
set_jsonb_value
-------------------------------------------------------------------------------------------------------
{"files": [], "ident": {"id": 1, "foo": {"bar": {"country": "foo"}}, "type ": "20"}, "country": null}
(1 row)
Hope it will help to someone who uses the PostgreSQL < 9.5
Disclaimer: Tested on PostgreSQL 9.5
In PG 9.4 you are out of luck with "easy" solutions like jsonb_set() (9.5). Your only option is to unpack the JSON object, make the changes and re-build the object. That sounds very cumbersome and it is indeed: JSON is horrible to manipulate, no matter how advanced or elaborate the built-in functions.
CREATE TYPE data_ident AS (id integer, country text, "type" integer);
UPDATE my_table
SET "data" = json_build_object('files', "data"->'files', 'ident', ident.j)::jsonb
FROM (
SELECT gid, json_build_object('id', j.id, 'country', 'Belgium', 'type', j."type") AS j
FROM my_table
JOIN LATERAL jsonb_populate_record(null::data_ident, "data"->'ident') j ON true) ident
WHERE my_table.gid = ident.gid;
In the SELECT clause "data"->'ident' is unpacked into a record (for which you need to CREATE TYPE a structure). Then it is built right back into a JSON object with the new country name. In the UPDATE that "ident" object is re-joined with the "files" object and the whole thing cast to a jsonb.
A pure thing of beauty -- just so long as speed is not your thing...
My previous solution relied on 9.5 functionality.
I would recommend instead either going with abelisto's solutions below or using pl/perlu, plpythonu, or plv8js to write json mutators in a language that has better support for them.