I want to write a query to update the field_2's value of an json_array, but it works wrong. The given values cannot be mapped to the fields (such as field_2:a,b,c). Could you help me to find the errors of it? Thanks.
1.table_A
|-------------------------------------
| id | field_1 | field_2 | field_3 |
|-------------------------------------
| char | char | json | char |
|-------------------------------------
2.table_A filed's value
{
id:'xxx',
field_1:'111',
field_2:{
a:'aaa',
b:'bbb',
c:[
{"a":"00","b":"01","c":02},
{"a":"10","b":"11","c":12}
],
d:100
}
field_3:'333',
}
3.my query
update table_A
set field_2 =
json_set(
field_2,
'$.c',
json_object(
'afiled','aaa',
'bfiled',1010,
'$.cfiled[0].a','c00',
'$.cfiled[0].b','c01',
'$.cfiled[0].c',11,
'$.cfiled[1].a','c10',
'$.cfiled[1].b','c11',
'$.cfiled[1].c',22,
'dfiled',100
)
)
where id = 'xxx' (old version : [where key = 'xxx'])
Related
I am trying to update json date field with value from another column.
I am able to update with the following statement:
UPDATE table
SET column = column || '{"date_field":"2022-08-25"}'
where id = 123;
When I try to update with value from another column ie:
UPDATE table
SET json_column = json_column || '{"date_field":column}'
where id = 123;
I would get the following Error.
ERROR: invalid input syntax for type json
LINE 2: ...DATE table SET json_column = json_column || '{"date_field...
DETAIL: Token "column" is invalid.
CONTEXT: JSON data, line 1: {"date_field":column...
SQL state: 22P02
Character: 54
The database is PostgreSQL version 10.9.
Could someone point me to where I can find the right syntax?
Note || only works with jsonb.
\d json_test
Table "public.json_test"
Column | Type | Collation | Nullable | Default
-----------+---------+-----------+----------+---------
id | integer | | |
fld_json | json | | |
fld_jsonb | jsonb | | |
select fld_jsonb from json_test where id = 2;
fld_jsonb
----------------------
{"one": 1, "two": 2}
update json_test set fld_jsonb = fld_jsonb || jsonb_build_object('id', id) where id = 2 ;
UPDATE 1
select fld_jsonb from json_test where id = 2;
fld_jsonb
-------------------------------
{"id": 2, "one": 1, "two": 2}
I want to read the values from json and need to create a new json so is there any way that
we can save json in table and columns in oracle that will help to perform calculation on that. calculation is too complax.
Here is the json sample and json has many hash and
{
"agri_Expense": {
"input": 6000,
"max": 7500,
"check": 7500
},
"income3": {
"Hiring_income": 239750
},
"Operational_Cost1": [
{
"Field_input3": 10000,
"Minimum": "0.05",
"Check_Input": 26750,
"Tractor_Cost": "Maintenance"
}
]
}
You do not need PL/SQL, and can do it entirely in SQL.
I want to read the values from json [...] so is there any way that
we can save json in table and columns in oracle
Yes, use SQL to create a table:
CREATE TABLE table_name ( json_column CLOB CHECK ( json_column IS JSON ) )
and then INSERT the value there:
INSERT INTO table_name ( json_column ) VALUES (
'{'
|| '"agri_Expense": {"input": 6000,"max": 7500,"check": 7500},'
|| '"income3": {"Hiring_income": 239750},'
|| '"Operational_Cost1": [{"Field_input3": 10000,"Minimum": "0.05","Check_Input": 26750,"Tractor_Cost": "Maintenance"}]'
|| '}'
)
then, if you want individual values, SELECT using JSON_TABLE:
SELECT j.*
FROM table_name t
CROSS JOIN JSON_TABLE(
t.json_column,
'$'
COLUMNS (
agri_expense_input NUMBER PATH '$.agri_Expense.input',
agri_expense_max NUMBER PATH '$.agri_Expense.max',
agri_expense_check NUMBER PATH '$.agri_Expense.check',
income3_hiring_income NUMBER PATH '$.income3.Hiring_income',
NESTED PATH '$.Operational_Cost1[*]'
COLUMNS (
oc1_field_input3 NUMBER PATH '$.Field_input3',
oc1_minimum NUMBER PATH '$.Minimum',
oc1_check_input NUMBER PATH '$.Check_Input'
)
)
) j
Which outputs:
AGRI_EXPENSE_INPUT | AGRI_EXPENSE_MAX | AGRI_EXPENSE_CHECK | INCOME3_HIRING_INCOME | OC1_FIELD_INPUT3 | OC1_MINIMUM | OC1_CHECK_INPUT
-----------------: | ---------------: | -----------------: | --------------------: | ---------------: | ----------: | --------------:
6000 | 7500 | 7500 | 239750 | 10000 | .05 | 26750
db<>fiddle here
I have the following JSON:
{
"params" : {
"A" : 200.5,
"B" : 70.2
}
}
And the following table:
CREATE TABLE `params` (
`param` varchar(255),
`value` float
) ENGINE=MyISAM DEFAULT CHARSET=utf8;
Is there a way to make mysql function with one insert query without using "while do" directly to insert all the parameters into table like this:
-------+-------
| param | value |
|-------+-------|
| A | 200.5|
| B | 70.2|
---------------
If you are running MySQL 8.0, you can use json_keys() to dynamically extract the keys from the json subobject as a json array, and then use json_table() to turn it to rows. You can then extract the values.
Consider:
insert into `params`
with t as (select '{"params": { "A": 200.5, "B": 70.2 } }' js)
select x.k, json_extract(js, concat('$.params.', x.k)) v
from
t
cross join json_table(
json_keys(js->"$.params"),
"$[*]" columns(k varchar(255) path "$")
) as x
Demo on DB Fiddle
Content of the table after running the query:
param | value
:---- | ----:
A | 200.5
B | 70.2
We can insert multiple rows with a single query using insert into. we need to construct this query using your JSON object
INSERT INTO params(param,value)
VALUES('A',200.5), ('B', 70.2);
I am trying to parse JSON data from a table in SQL Server 2017. I have a view that returns this data:
| Debrief Name | Version | Answer Question | Answer Options |
+-------------------+-----------+--------------------------+--------------------------------------------------------------------------------------------------------------------------+
| Observer Report | 7 | Division: | {"Options":[{"Display":"Domestic","Value":"Domestic"},{"Display":"International","Value":"International"}]} |
| Observer Report | 7 | Are you on reserve? | {"Options":[{"Display":"Yes - Long Call Line","Value":"Yes"},{"Display":"No","Value":"No"}]} |
| Observer Report | 11 | Crew Position: | {"Options":[{"Display":"CA","Value":"CA"},{"Display":"RC","Value":"RC"},{"Display":"FO","Value":"FO"}]} |
| Observer Report | 11 | Domicile: | {"VisibleLines":2,"Options":[{"Display":"BOS","Value":"BOS"},{"Display":"CLT","Value":"CLT"}]} |
| Training Debrief | 12 | TRAINING CREW POSITION | {"VisibleLines":2,"Options":[{"Display":"CA","Value":"CA"},{"Display":"FO","Value":"FO"}]} |
| Training Debrief | 12 | AIRCRAFT | {"VisibleLines":2,"Options":[{"Display":"777","Value":"777"},{"Display":"767","Value":"767"}]} |
| Security Debrief | 9 | Aircraft Type | {"Options":[{"Display":"MD-80","Value":"MD-80"},{"Display":"777","Value":"777"},{"Display":"767/757","Value":"767/757"}]}|
| News Digest | 2 | Do you read Digest? | {"Options":[{"Display":"Yes","Value":"Yes"},{"Display":"No","Value":"No"}]} |
The Debrief Name column can have multiple records for same debrief name and Version. Also there are multiple versions for each debrief. And for each debrief name and version combination, there are set of Answer Questions and related Answer Options. Now the column Answer Options contain JSON record which I need to parse.
So my initial query that is something like below:
SELECT *
FROM [dbo].<MY VIEW>
WHERE [Debrief Name] = 'Observer Report' AND Version = 11
which would return below data:
| Debrief Name | Version | Answer Question | Answer Options |
+---------------------+--------------+-----------------------+-----------------------------------------------------------------------------------------------------------------+
| Observer Report | 11 | Crew Position: | {"Options":[{"Display":"CA","Value":"CA"},{"Display":"RC","Value":"RC"}]} |
| Observer Report | 11 | Domicile: | {"VisibleLines":2,"Options":[{"Display":"BOS","Value":"BOS"},{"Display":"CLT","Value":"CLT"}]} |
| Observer Report | 11 | Fleet: | {"Options":[{"Display":"330","Value":"330"},{"Display":"320","Value":"320"}]} |
| Observer Report | 11 | Division: | {"Options":[{"Display":"Domestic","Value":"Domestic"},{"Display":"International","Value":"International"}]} |
| Observer Report | 11 | Are you on reserve? | {"Options":[{"Display":"Yes - Long Call Line","Value":"Yes - Long Call Line"},{"Display":"No","Value":"No"}]} |
Now from this returned result, for each Answer Question I need to parse the related Answer Options JSON data and extract the Value field for all the display attribute. So for example the JSON string in Answer Options for question "Are you on reserver?" looks like this:
"Options":[
{
"Display":"330",
"Value":"330",
"Selected":false
},
{
"Display":"320",
"Value":"320",
"Selected":false
},
{
"Display":"S80",
"Value":"S80",
"Selected":false
}
]
So I need to extract "Value" fields and return something like an array with values {330, 320, 195}.
In conclusion I want to construct a query where when I provide the Debrief Name and VersionNumber, it returns me the Answer Question and all the Answer Option values.
I am thinking of using a stored procedure like below:
CREATE PROCEDURE myProc
#DebriefName NVARCHAR(255),
#Version INT
AS
SELECT *
FROM [dbo].[myView]
WHERE [Debrief Name] = #DebriefName
AND Version = #Version
GO;
And then have another stored procedure that will capture this result from myProc and then do the JSON parsing:
CREATE PROCEDURE parseJSON
#DebriefName NVARCHAR(255),
#Version INT
AS
EXEC myProc #DebriefName, #Version; //Need to capture the result data in a temp table or something
// Parse the JSON data for each question item in temp table
GO;
I am not an expert in SQL so not sure how to do this. I read about Json parsing in SQL here and feel like I can use that but not sure how to in my context.
If you want to parse JSON data in Answer Options column and extract the Value field, you may try with the following approach, using OPENJSON() and STRING_AGG():
DECLARE #json nvarchar(max)
SET #json = N'{
"Options": [
{
"Display": "330",
"Value": "330",
"Selected": false
},
{
"Display": "320",
"Value": "320",
"Selected": false
},
{
"Display": "195",
"Value": "195",
"Selected": false
}
]
}'
SELECT STRING_AGG(x.[value], ', ') AS [Values]
FROM OPENJSON(#json, '$.Options') j
CROSS APPLY (SELECT * FROM OPENJSON(j.[value])) x
WHERE x.[key] = 'Value'
Output:
Values
330, 320, 195
If you want to build your statement using stored procedure, use this approach:
CREATE TABLE myTable (
DebriefName nvarchar(100),
Version int,
AnswerQuestion nvarchar(1000),
AnswerOptions nvarchar(max)
)
INSERT INTO myTable
(DebriefName, Version, AnswerQuestion, AnswerOptions)
VALUES
(N'Observer Report', 7, N'Division:' , N'{"Options":[{"Display":"Domestic","Value":"Domestic"},{"Display":"International","Value":"International"}]}'),
(N'Observer Report', 7, N'Are you on reserve?' , N'{"Options":[{"Display":"Yes - Long Call Line","Value":"Yes"},{"Display":"No","Value":"No"}]}'),
(N'Observer Report', 11, N'Crew Position:' , N'{"Options":[{"Display":"CA","Value":"CA"},{"Display":"RC","Value":"RC"},{"Display":"FO","Value":"FO"}]}'),
(N'Observer Report', 11, N'Domicile:' , N'{"VisibleLines":2,"Options":[{"Display":"BOS","Value":"BOS"},{"Display":"CLT","Value":"CLT"}]}'),
(N'Training Debrief', 12, N'TRAINING CREW POSITION', N'{"VisibleLines":2,"Options":[{"Display":"CA","Value":"CA"},{"Display":"FO","Value":"FO"}]}'),
(N'Training Debrief', 12, N'AIRCRAFT' , N'{"VisibleLines":2,"Options":[{"Display":"777","Value":"777"},{"Display":"767","Value":"767"}]}'),
(N'Security Debrief', 9, N'Aircraft Type' , N'{"Options":[{"Display":"MD-80","Value":"MD-80"},{"Display":"777","Value":"777"},{"Display":"767/757","Value":"767/757"}]}'),
(N'News Digest', 2, N'Do you read Digest?' , N'{"Options":[{"Display":"Yes","Value":"Yes"},{"Display":"No","Value":"No"}]}')
SELECT
t.AnswerQuestion,
STRING_AGG(x.[value], ', ') AS [Values]
FROM myTable t
CROSS APPLY (SELECT * FROM OPENJSON(t.AnswerOptions, '$.Options')) j
CROSS APPLY (SELECT * FROM OPENJSON(j.[value])) x
WHERE
DebriefName = N'Observer Report' AND
t.Version = 11 AND
x.[key] = 'Value'
GROUP BY
t.DebriefName,
t.Version,
t.AnswerQuestion
Output:
AnswerQuestion Values
Crew Position: CA, RC, FO
Domicile: BOS, CLT
I have a table like this:
+--------+--------------------+
| ID | Attribute |
+--------+--------------------+
| 1 |"color" => "red" |
+--------+--------------------+
| 1 |"color" => "green" |
+--------+--------------------+
| 1 |"shape" => "square" |
+--------+--------------------+
| 2 |"color" => "blue" |
+--------+--------------------+
| 2 |"color" => "black" |
+--------+--------------------+
| 2 |"flavor" => "sweat" |
+--------+--------------------+
| 2 |"flavor" => "salty" |
+--------+--------------------+
And I want to run some postgres query that get a result table like this:
+--------+------------------------------------------------------+
| ID | Attribute |
+--------+------------------------------------------------------+
| 1 |"color" => "red, green", "shape" => "square" |
+--------+------------------------------------------------------+
| 2 |"color" => "blue, black", "flavor" => "sweat, salty" |
+--------+------------------------------------------------------+
The attribute column can either be hstore or json format. I wrote it in hstore for an example, but if we cannot achieve this in hstore, but in json, I would change the column to json.
I know that hstore does not support one key to multiple values, when I tried some merge method, it only kept one value for each key. But for json, I didn't find anything that supports multiple value merge like this neither. I think this can be done by function merging values for the same key into a string/text and add it back to the key/value pair. But I'm stuck in implementing it.
Note: if implement this in some function, ideally any key such as color, shape should not appear in the function since keys can be expanded dynamically.
Does anyone have any idea about this? Any advice or brainstorm might help. Thank you!
Just a note before anything else: in your desidered output I would use some proper json and not that kind of lookalike. So a correct output according to me would be:
+--------+----------------------------------------------------------------------+
| ID | Attribute |
+--------+----------------------------------------------------------------------+
| 1 | '{"color":["red","green"], "flavor":[], "shape":["square"]}' |
+--------+----------------------------------------------------------------------+
| 2 | '{"color":["blue","black"], "flavor":["sweat","salty"], "shape":[]}' |
+--------+----------------------------------------------------------------------+
A PL/pgSQL function which parses the json attributes and executes a dynamic query would do the job, something like that:
CREATE OR REPLACE FUNCTION merge_rows(PAR_table regclass) RETURNS TABLE (
id integer,
attributes json
) AS $$
DECLARE
ARR_attributes text[];
VAR_attribute text;
ARR_query_parts text[];
BEGIN
-- Get JSON attributes names
EXECUTE format('SELECT array_agg(name ORDER BY name) AS name FROM (SELECT DISTINCT json_object_keys(attribute) AS name FROM %s) AS s', PAR_table) INTO ARR_attributes;
-- Write json_build_object() query part
FOREACH VAR_attribute IN ARRAY ARR_attributes LOOP
ARR_query_parts := array_append(ARR_query_parts, format('%L, array_remove(array_agg(l.%s), null)', VAR_attribute, VAR_attribute));
END LOOP;
-- Return dynamic query
RETURN QUERY EXECUTE format('
SELECT t.id, json_build_object(%s) AS attributes
FROM %s AS t,
LATERAL json_to_record(t.attribute) AS l(%s)
GROUP BY t.id;',
array_to_string(ARR_query_parts, ', '), PAR_table, array_to_string(ARR_attributes, ' text, ') || ' text');
END;
$$ LANGUAGE plpgsql;
I've tested it and it seems to work, it returns a json with. Here is my test code:
CREATE TABLE mytable (
id integer NOT NULL,
attribute json NOT NULL
);
INSERT INTO mytable (id, attribute) VALUES
(1, '{"color":"red"}'),
(1, '{"color":"green"}'),
(1, '{"shape":"square"}'),
(2, '{"color":"blue"}'),
(2, '{"color" :"black"}'),
(2, '{"flavor":"sweat"}'),
(2, '{"flavor":"salty"}');
SELECT * FROM merge_rows('mytable');
Of course you can pass the id and attribute column names as parameters as well and maybe refine the function a bit, this is just to give you an idea.
EDIT : If you're on 9.4 please consider using jsonb datatype, it's much better and gives you room for improvements. You would just need to change the json_* functions to their jsonb_* equivalents.
If you just want this for display purposes, this might be enough:
select id, string_agg(key||' => '||vals, ', ')
from (
select t.id, x.key, string_agg(value, ',') vals
from t
join lateral each(t.attributes) x on true
group by id, key
) t
group by id;
If you are not on 9.4, you can't use the lateral join:
select id, string_agg(key||' => '||vals, ', ')
from (
select id, key, string_agg(val, ',') as vals
from (
select t.id, skeys(t.attributes) as key, svals(t.attributes) as val
from t
) t1
group by id, key
) t2
group by id;
This will return:
id | string_agg
---+-------------------------------------------
1 | color => red,green, shape => square
2 | color => blue,black, flavor => sweat,salty
SQLFiddle: http://sqlfiddle.com/#!15/98caa/2