JSON_QUERY unable to handle NULL - json

I have a table. Few columns are of String, Integer type. And few are JSON type. I am writing a query to form each row as a json object. I have issues with JSON_QUERY(jsondataColumnName). If the column is populated NULL JSON_QUERY fails.
I have already written query below.
select
(
SELECT [customerReferenceNumber] as customerReferenceNumber
,[customerType] as customerType
,[personReferenceNumber] as personReferenceNumber
,[organisationReferenceNumber] as organisationReferenceNumber
,json_query(isnull(product,'')) as product
,json_query(isnull([address],'')) as address
FROM [dbo].[customer]
FOR JSON PATH, WITHOUT_ARRAY_WRAPPER) AS customer
from [dbo].[customer] P
Msg 13609, Level 16, State 1, Line 2
JSON text is not properly formatted. Unexpected character '.' is found at position 0.


By default, for JSON don't work with NULL VALUES. Use INCLUDE_NULL_VALUES to handle.
As Example: JSON PATH, WITHOUT_ARRAY_WRAPPER, INCLUDE_NULL_VALUES) AS customer
As reference:
https://learn.microsoft.com/en-us/sql/relational-databases/json/include-null-values-in-json-include-null-values-option?view=sql-server-ver15

Related

Wrap/Convert json object into array of objects MySQL

I have a column named data and I have to update its content from something like {} to [{}] for each record in table A, I tried to use JSON_ARRAY() but it gives me a quoted
["{\"something\": \"true\"}"]
but I'd like to have something like
[{ "something": "true" }]
How I do it now?
SELECT JSON_ARRAY(data) FROM A;
How should I update it either using JSON_SET() or UPDATE?

You need to use a path to get the data as JSON, rather than referring to the column by itself. The path $ means the top-level object.
update A
SET data = CASE
WHEN data IS NULL THEN '[]' -- NULL becomes empty array
WHEN LEFT(data, 1) = '[' THEN data -- leave existing array alone
ELSE JSON_ARRAY(data->"$") -- put object inside array
END
DEMO

Try using
SELECT JSON_ARRAY_AGG(JSON_OBJECT(data)) from A;

Parse JSON data in T-SQL [duplicate]

This is driving me nuts, and I don't understand what's wrong with my approach.
I generate a JSON object in SQL like this:
select #output = (
select distinct lngEmpNo, txtFullName
from tblSecret
for json path, root('result'), include_null_values
)
I get a result like this:
{"result":[{"lngEmpNo":696969,"txtFullName":"Clinton, Bill"}]}
ISJSON() confirms that it's valid JSON, and JSON_QUERY(#OUTPUT, '$.result') will return the array [] portion of the JSON object... cool!
BUT, I'm trying to use JSON_QUERY to extract a specific value:
This gets me a NULL value. Why??????? I've tried it with the [0], without the [0], and of course, txtFullName[0]
SELECT JSON_QUERY(#jsonResponse, '$.result[0].txtFullName');
I prefixed with strict, SELECT JSON_QUERY(#jsonResponse, 'strict $.result[0].txtFullName');, and it tells me this:
Msg 13607, Level 16, State 4, Line 29
JSON path is not properly formatted. Unexpected character 't' is found at
position 18.
What am I doing wrong? What is wrong with my structure?

JSON_QUERY will only extract an object or an array. You are trying to extract a single value so, you need to use JSON_VALUE. For example:
SELECT JSON_VALUE(#jsonResponse, '$.result[0].txtFullName');

Pull data from JSON column and create new output with ABSENT ON NULL option

I have a JSON column in an Oracle DB where it was populated without the ABSENT ON NULL option and there are some pretty long lengths because of this.
I would like to trim things down and have created a new table similar to the first but I would like to select the JSON from form the old, add the ABSENT ON NULL option and place the new values in reducing the column length.
So I can see the JSON easy enough like
SELECT json_query(json_data,'$') FROM table;
This will give a result like:
{
"REC_TYPE_IND":"1",
"ID":"1234",
"OTHER_ID":"4321",
"LOCATION":null,
"EFF_BEG_DT":"19970101",
"EFF_END_DT":"99991231",
"NAME":"Joe",
"CITY":null
}
When I try to remove the null values like
SELECT json_object (json_query(json_data,'$') ABSENT ON NULL
RETURNING VARCHAR2(4000)
) AS col1 FROM table;
I get the following:
ORA-02000: missing VALUE keyword
I assume this is because the funcion json_object is expecting the format:
json_object ('REC_TYPE_IND' VALUE '1',
'ID' VALUE '1234')
Is there a way around this, to turn the JSON back into values that JSON_OBJECT can recognize like above or is there a function I am missing?

Parse unknown JSON path in TSQL with openjson and/or json_value

I have a incoming data structure that looks like this:
declare #json nvarchar(max) = '{
"action": "edit",
"data": {
"2077-09-02": {
"Description": "some stuff",
"EffectDate": "2077-1-1"
}
}
}';
To give you a long story short, I think TSQL hates this json structure, because no matter what I have tried, I can't get to any values other than "action".
The {data} object contains another object, {2077-09-02}. "2077-09-02" will always be different. I can't rely on what that date will be.
This works:
select json_value(#json, '$.action');
None of this works when trying to get to the other values.
select json_value(#json, '$.data'); --returns null
select json_value(#json, '$.data[0]'); --returns null
select json_value(#json, 'lax $.data.[2077-09-02].Description');
--JSON path is not properly formatted. Unexpected character '[' is found at position 11.
select json_value(#json, 'lax $.data.2077-09-02.Description');
--JSON path is not properly formatted. Unexpected character '2' is found at position 11.
How do I get to the other values? Is the JSON not perfect enough for TSQL?

It is never a good idea to use the declarative part of a text based container as data. The "2077-09-02" is a valid json key, but hard to query.
You can try this:
declare #json nvarchar(max) = '{
"action": "edit",
"data": {
"2077-09-02": {
"Description": "some stuff",
"EffectDate": "2077-1-1"
}
}
}';
SELECT A.[action]
,B.[key] AS DateValue
,C.*
FROM OPENJSON(#json)
WITH([action] NVARCHAR(100)
,[data] NVARCHAR(MAX) AS JSON) A
CROSS APPLY OPENJSON(A.[data]) B
CROSS APPLY OPENJSON(B.[value])
WITH (Description NVARCHAR(100)
,EffectDate DATE) C;
The result
action DateValue Description EffectDate
edit 2077-09-02 some stuff 2077-01-01
The idea:
The first OPENJSON will return the action and the data.
I use a WITH clause to tell the engine, that action is a simple value, while data is nested JSON
The next OPENJSON dives into data
We can now use B.[key] to get the json key's value
Now we need another OPENJSON to dive into the columns within data.
However: If this JSON is under your control I'd suggest to change its structure.

Use double quotes instead of []. JSON Path uses JavaScript's conventions where a string is surrounded by double quotes. The documentation's example contains this path $."first name".
In this case :
select json_value(#json,'$.data."2077-09-02".Description');
Returns :
some stuff
As for the other calls, JSON_VALUE can only return scalar values, not objects. You need to use JSON_QUERY to extract JSON objects, eg :
select json_query(#json,'$.data."2077-09-02"');
Returns :
{
"Description": "some stuff",
"EffectDate": "2077-1-1"
}

BigQuery parse json child column with special character

I have load the entire json file into a STRING column of BigQuery table. Now I am trying to access the keys using JSON_EXTRACT_SCALAR function, but I am getting null result for the child keys which contain special character period(".") within their name.
Here's the snippet of the data:
{"server_received_time":"2019-01-17 15:00:00.482000","app":161,"device_carrier":null,"$schema":12,"city":"Caro","user_id":null,"uuid":"9018","event_time":"2019-01-17 15:00:00.045000","platform":"Web","os_version":"49","vendor_id":711,"processed_time":"2019-01-17 15:00:00.817195","user_creation_time":"2018-11-01 19:16:34.971000","version_name":null,"ip_address":null,"paying":null,"dma":null,"group_properties":{},"user_properties":{"location.radio":"ca","vendor.userTier":"free","vendor.userID":"a989","user.id":"a989","user.tier":"free","location.region":"ca"},"client_upload_time":"2019-01-17 15:00:00.424000","$insert_id":"e8410","event_type":"LOADED","library":"amp\/4.5.2","vendor_attribution_ids":null,"device_type":"Mac","device_manufacturer":null,"start_version":null,"location_lng":null,"server_upload_time":"2019-01-17 15:00:00.493000","event_id":64,"location_lat":null,"os_name":"Chrome","vendor_event_type":null,"device_brand":null,"groups":{},"event_properties":{"content.authenticated":false,"content.subsection1":"regions","custom.DNT":true,"content.subsection2":"ca","referrer.url":"","content.url":"","content.type":"index","content.title":"","custom.cookiesenabled":true,"app.pillar":"feed","content.area":"news","app.name":"oc"},"data":{},"device_id":"","language":"English","device_model":"Mac","country":"","region":"","is_attribution_event":false,"adid":null,"session_id":15,"device_family":"Mac","sample_rate":null,"idfa":null,"client_event_time":"2019-01-17 14:59:59.987000"}
{"server_received_time":"2019-01-17 15:00:00.913000","app":161,"device_carrier":null,"$schema":12,"city":"Fo","user_id":null,"uuid":"9052","event_time":"2019-01-17 15:00:00.566000","platform":"Web","os_version":"71","vendor_id":797,"processed_time":"2019-01-17 15:00:01.301936","user_creation_time":"2019-01-17 15:00:00.566000","version_name":null,"ip_address":null,"paying":null,"dma":"CO","group_properties":{},"user_properties":{"user.tier":"free"},"client_upload_time":"2019-01-17 15:00:00.157000","$insert_id":"69ae","event_type":"START WEB SESSION","library":"amp\/4.5.2","vendor_attribution_ids":null,"device_type":"Android","device_manufacturer":null,"start_version":null,"location_lng":null,"server_upload_time":"2019-01-17 15:00:00.925000","event_id":1,"location_lat":null,"os_name":"Chrome Mobile","vendor_event_type":null,"device_brand":null,"groups":{},"event_properties":{"content.subsection3":"home","content.subsection2":"archives","content.title":"","content.keywords.subject":["Lifestyle\/Recreation and leisure\/Outdoor recreation\/Boating","Lifestyle\/Relationships\/Couples","General news\/Weather","Oddities"],"content.publishedtime":154687,"app.name":"oc","referrer.url":"","content.subsection1":"archives","content.url":"","content.authenticated":false,"content.keywords.location":["Ot"],"content.originaltitle":"","content.type":"story","content.authors":["Archives"],"app.pillar":"feed","content.area":"news","content.id":"1.49","content.updatedtime":1546878600538,"content.keywords.tag":["24 1","boat house","Ot","Rockcliffe","River","m"],"content.keywords.person":["Ber","Shi","Jea","Jean\u00e9tien"]},"data":{"first_event":true},"device_id":"","language":"English","device_model":"Android","country":"","region":"","is_attribution_event":false,"adid":null,"session_id":15477,"device_family":"Android","sample_rate":null,"idfa":null,"client_event_time":"2019-01-17 14:59:59.810000"}
{"server_received_time":"2019-01-17 15:00:00.913000","app":16,"device_carrier":null,"$schema":12,"city":"","user_id":null,"uuid":"905","event_time":"2019-01-17 15:00:00.574000","platform":"Web","os_version":"71","vendor_id":7973,"processed_time":"2019-01-17 15:00:01.301957","user_creation_time":"2019-01-17 15:00:00.566000","version_name":null,"ip_address":null,"paying":null,"dma":"DCO","group_properties":{},"user_properties":{"user.tier":"free"},"client_upload_time":"2019-01-17 15:00:00.157000","$insert_id":"d045","event_type":"LOADED","library":"am-js\/4.5.2","vendor_attribution_ids":null,"device_type":"Android","device_manufacturer":null,"start_version":null,"location_lng":null,"server_upload_time":"2019-01-17 15:00:00.925000","event_id":2,"location_lat":null,"os_name":"Chrome Mobile","vendor_event_type":null,"device_brand":null,"groups":{},"event_properties":{"content.subsection3":"home","content.subsection2":"archives","content.subsection1":"archives","content.keywords.subject":["Lifestyle\/Recreation and leisure\/Outdoor recreation\/Boating","Lifestyle\/Relationships\/Couples","General news\/Weather","Oddities"],"content.type":"story","content.keywords.location":["Ot"],"app.pillar":"feed","app.name":"oc","content.authenticated":false,"custom.DNT":false,"content.id":"1.4","content.keywords.person":["Ber","Shi","Jea","Je\u00e9tien"],"content.title":"","content.url":"","content.originaltitle":"","custom.cookiesenabled":true,"content.authors":["Archives"],"content.publishedtime":1546878600538,"referrer.url":"","content.area":"news","content.updatedtime":1546878600538,"content.keywords.tag":["24 1","boat house","O","Rockcliffe","River","pr"]},"data":{},"device_id":"","language":"English","device_model":"Android","country":"","region":"","is_attribution_event":false,"adid":null,"session_id":1547737199081,"device_family":"Android","sample_rate":null,"idfa":null,"client_event_time":"2019-01-17 14:59:59.818000"}
Here's the sample query against the table:
SELECT
CAST(JSON_EXTRACT_SCALAR(data,'$.uuid')AS INT64) AS uuid_id,
CAST(JSON_EXTRACT_SCALAR(data,'$.event_time') AS TIMESTAMP) AS event_time,
JSON_EXTRACT_SCALAR(data,'$[event_properties].app.name') AS app_name,
JSON_EXTRACT_SCALAR(data,'$[user_properties].user.tier') AS user_tier
FROM
mytable
Above query give null result for app_name & user_tier columns even though data exists for them.
Following the BigQuery JSON function documentation - JSON Functions in Standard SQL
In cases where a JSON key uses invalid JSONPath characters, you can escape those characters using single quotes and brackets, [' '].
and running the query as:
SELECT
CAST(JSON_EXTRACT_SCALAR(data,"$.uuid_id")AS INT64) AS uuid_id,
CAST(JSON_EXTRACT_SCALAR(data,"$.event_time") AS TIMESTAMP) AS event_time,
JSON_EXTRACT_SCALAR(data,"$.event_properties.['app.name']") AS app_name,
JSON_EXTRACT_SCALAR(data,"$.user_properties.['user.tier']") AS user_tier
FROM
mytable
result into following error:
Invalid token in JSONPath at: .['app.name']
Please advise. What am I missing here?

You have an extra . before the [. Use
"$.event_properties['app.name']"