I want to update ContextItems where id=993, changing label from 'Jane's Trucking' to 'newname'.
I do not want other data to change.
Initial data:
{
"UserId": "JohnDoe",
"ContextItems": "{\"Entity\":{\"items\":[{\"id\":993,\"label\":\"Jane's Trucking\",\"viewModelId\":\"EntityEdit\"},{\"id\":992,\"label\":\"Bob's Flowers\",\"viewModelId\":\"EntityEdit\"}],\"targetView\":\"EntityViewEdit\"}}"
}
I have managed to manipulate data, however, the layout has changed from above to json:
[{
"viewmodelid": "EntityEdit",
"id": "993",
"label": "newname"
},{
"viewmodelid": "EntityEdit",
"id": "992",
"label": "Bob's Flowers"
}]
This is the code that achieved this. What else is needed to convert back from json to what I guess was some sort of text in ContextItems?
with temp1 as
(select (jsondoc_->'ContextItems' #>> '{}')::jsonb ->'Entity'-->'items'
as jsonfield , id_ , jsondoc_ from usersetting where id_='21|77')
, temp2 as
(select obj->>'label' as label, obj->>'id' as id, obj->>'viewModelId' as viewModelId, id_
from temp1, jsonb_array_elements(temp1.jsonfield->'items') obj(val) )
, temp3 as
(select id, case when id='993' then 'newname' else label end as label ,viewModelId
from temp2)
select json_agg(temp3) as origjson FROM temp3 where id in ('993','992')
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,
''$.HData['+CONVERT(VARCHAR(15),RowNo-1)+'].Value'',
'''+CONVERT(VARCHAR(MAX),#value)+''') '+
'WHERE ID ='+CONVERT(Varchar(15),CTE.ID) +' '
FROM CTE
WHERE Code=#code
AND (#id IS NULL OR ID =#id)
EXEC( #SQLStr)
END
I'm trying to migrate Oracle 12c queries to Postgres11.5.
Here is the json:
{
"cost": [{
"spent": [{
"ID": "HR",
"spentamount": {
"amount": 2000.0,
"country": "US"
}
}]
}],
"time": [{
"spent": [{
"ID": "HR",
"spentamount": {
"amount": 308.91,
"country": "US"
}
}]
}]
}
Here is the query that has to be migrated to Postgres 11.5:
select js.*
from P_P_J r,
json_table(r.P_D_J, '$.*[*]'
COLUMNS(NESTED PATH '$.spent[*]'
COLUMNS(
ID VARCHAR2(100 CHAR) PATH '$.ID',
amount NUMBER(10,4) PATH '$.spentamount.amount',
country VARCHAR2(100 CHAR) PATH '$.spentamount.country'))
) js
The result:
ID, amount, country
HR, 2000.0,US
HR,308.91,US
I have two questions here:
What does $.*[*] mean?
How can we migrate this query in Postgres so that it directly looks at 'spent' instead of navigating 'cost'->'spent' or 'time'->'spent'
There is no direct replacement for json_table in Postgres. You will have to combine several calls to explode the JSON structure.
You didn't show us your expected output, but as far as I can tell, the following should do the same:
select e.item ->> 'ID' as id,
(e.item #>> '{spentamount, amount}')::numeric as amount,
e.item #>> '{spentamount, country}' as country
from p_p_j r
cross join jsonb_each(r.p_d_j) as a(key, val)
cross join lateral (
select *
from jsonb_array_elements(a.val)
where jsonb_typeof(a.val) = 'array'
) as s(element)
cross join jsonb_array_elements(s.element -> 'spent') as e(item)
;
The JSON path expression '$.*[*] means: iterate over all top-level keys, then iterate over all array elements found in there and the nested path '$.spent[*]' then again iterates over all array elements in there. These steps are reflected in the three JSON function calls that are needed to get there.
With Postgres 12, this would be a bit easier as this can be done with a single call to jsonb_path_query() which also use a JSON Path to access the elements using a very similar JSON path expression:
select e.item ->> 'ID' as id,
(e.item #>> '{spentamount, amount}')::numeric as amount,
e.item #>> '{spentamount, country}' as country
from p_p_j r
cross join jsonb_path_query(r.p_d_j, '$.*[*].spent[*]') as e(item)
;
Online example
I've got a JSON column containing an array of items:
[
{
"type": "banana"
},
{
"type": "apple"
},
{
"type": "orange"
}
]
I want to select one column with a concatenated type, resulting in 'banana, apple, orange'.
Thanks,
David
You need to parse and aggregate the stored JSON:
SELECT
JsonColumn,
NewColumn = (
SELECT STRING_AGG(JSON_VALUE([value], '$.type'), ',')
WITHIN GROUP (ORDER BY CONVERT(int, [key]))
FROM OPENJSON(t.JsonColumn)
)
FROM (VALUES
('[{"type":"banana"},{"type":"apple"},{"type":"orange"}]')
) t (JsonColumn)
Result:
JsonColumn
NewColumn
[{"type":"banana"},{"type":"apple"},{"type":"orange"}]
banana,apple,orange
I was wondering if it would be possible to reshape JSON and return it as JSON. I have JSON which, in simplified form, looks like:
Name
Details
fieldId
fieldValue
Other
Id
Value
And would like to return:
Name
Details
fieldId
fieldValue
I can return Name and Details with JSON_VALUE and JSON_QUERY but would like it as one combined JSON field.
create table #test (
[id] int,
[json] varchar(max)
);
insert into #test (id, json) values (1, '{
"Name": "Test 1",
"Details": [
{
"fieldId": "100",
"fieldValue": "ABC"
}],
"Other": [
{
"Id": "1",
"Value": "ABC"
}]
}');
insert into #test (id, json) values (2, '{
"Name": "Test 2",
"Details": [
{
"fieldId": "101",
"fieldValue": "ABCD"
}],
"Other": [
{
"Id": "2",
"Value": "ABCD"
}]
}');
select id, JSON_VALUE(json, '$.Name'), JSON_QUERY(json, '$.Details')
from #test
As an additional option, you may parse the JSON with OPENJSON() and explicit schema (columns definitions) and then build the new JSON again:
SELECT
id,
newjson = (
SELECT Name, Details
FROM OPENJSON(json) WITH (
Name varchar(max) '$.Name',
Details nvarchar(max) '$.Details' AS JSON
)
FOR JSON PATH, WITHOUT_ARRAY_WRAPPER
)
FROM #test
And the same approach with JSON_VALUE() and JSON_QUERY():
SELECT
id,
newjson = (
SELECT JSON_VALUE(json, '$.Name') AS [Name], JSON_QUERY(json, '$.Details') AS [Details]
FOR JSON PATH, WITHOUT_ARRAY_WRAPPER
)
FROM #test
One solution is to use JSON_MODIFY to re-construct the JSON:
SELECT
id,
JSON_MODIFY(
JSON_MODIFY(
'{}',
'$.Name',
JSON_VALUE(json, '$.Name')
),
'$.Details',
JSON_QUERY(json, '$.Details')
) AS new_json
FROM #test
An alternate would be to delete the Other node using JSON_MODIFY but you have to know the name of node(s) to remove.
I have the following values inside a cell of a json column in MySql:
{
"produttori": [
"8",
"9"
],
"articoli_alternativi": [
"3",
"9"
],
"articoli_accessori": [
"5",
"6",
"7",
"8"
],
"tecnologie": [],
"fornitori": [
"9",
"8"
],
"classificazioni": [
"3",
"4"
]
}
I would like to make a query that extracts data based on the existence of a value in the array at the fornitori key.
For now I've tried this:
query = 'SELECT nome, formulati_commerciali FROM articolo WHERE JSON_CONTAINS(JSON_EXTRACT(dati, "$.fornitori"), "' + \
value+'", "$")'
Which print is:
SELECT name, data FROM articolo WHERE JSON_CONTAINS(JSON_EXTRACT(data, "$.fornitori"), "8", "$")
Basically the condition is that value ("8") must be inside the fornitori list, otherwise skips the element.
Unfortunately, the query did not produce any results.
I would like to know how you can formulate such a query in MySql. I will need them often!
Thanks in advance!
This should do it:
SELECT name, data
FROM articolo
WHERE JSON_CONTAINS(data, '"8"', '$.fornitori')
The double quotes around 8 are important, in order to properly match the JSON data. On the other hand, the query consistently uses single quotes for string literals.
You can use
SELECT data
FROM
(
SELECT #i := #i + 1 AS rn,
JSON_UNQUOTE(JSON_EXTRACT(data,CONCAT('$.fornitori[',#i-1,']'))) AS elm,
data
FROM information_schema.tables
CROSS JOIN articolo
CROSS JOIN (SELECT #i := 0) r
) q
WHERE elm = 8
in order to search for the spesific value within a spesific
array("fornitori")
Demo