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I have a JSON structure in a field that looks like this. I'm trying to extract every task in every category, there could be any number of tasks or categories.
I've got part of the way there by extracting a single category, but can't seem to do it for every task in every category.
"tasks": {
"category-business": [
{
"dateCompleted": {
"_seconds": 1653672655,
"_nanoseconds": 791000000
},
"slug": "task-alpha",
"status": "completed"
},
{
"dateCompleted": {
"_seconds": 1654516259,
"_nanoseconds": 796000000
},
"slug": "task-bravo",
"status": "completed"
}
],"category-community": [
{
"dateCompleted": {
"_seconds": 1654709063,
"_nanoseconds": 474000000
},
"slug": "task-papa",
"status": "completed"
},
{
"dateCompleted": {
"_seconds": 1654709841,
"_nanoseconds": 764000000
},
"slug": "task-zebra",
"status": "completed"
}
]}
Here's the query so far
SELECT
*
FROM
(
SELECT
ARRAY(
SELECT
STRUCT(
TIMESTAMP_SECONDS(
CAST(
JSON_EXTRACT_SCALAR(business_tasks, '$.dateCompleted._seconds') AS INT64
)
) AS dateCompleted,
json_extract_scalar(business_tasks, '$.slug') AS task_slug,
json_extract_scalar(business_tasks, '$.status') AS status
)
FROM
UNNEST(
json_extract_array(DATA, '$.tasks.category-business')
) business_tasks
) AS items
FROM
`table`
)
This extracts just the information in the category business.
What I'm trying to do is expand category-community and any other children underneath the tasks key. The real data has at least 10 categories and 50 tasks.
I think I need to do another round of UNNEST and json_extract_array but I can't quite work out the correct order?
Consider below approach
create temp function get_keys(input string) returns array<string> language js as """
return Object.keys(JSON.parse(input));
""";
create temp function get_values(input string) returns array<string> language js as """
return Object.values(JSON.parse(input));
""";
create temp function get_leaves(input string) returns string language js as '''
function flattenObj(obj, parent = '', res = {}){
for(let key in obj){
let propName = parent ? parent + '.' + key : key;
if(typeof obj[key] == 'object'){
flattenObj(obj[key], propName, res);
} else {
res[propName] = obj[key];
}
}
return JSON.stringify(res);
}
return flattenObj(JSON.parse(input));
''';
create temp table temp_table as (
select
split(key, '.')[offset(0)] as category,
split(key, '.')[offset(1)] as offset,
split(key, '.')[offset(2)] || ifnull(split(key, '.')[safe_offset(3)], '') as key,
val, format('%t', t) row_id
from your_table t, unnest([struct(get_leaves(json_extract(data, '$.tasks')) as leaves)]),
unnest(get_keys(leaves)) key with offset
join unnest(get_values(leaves)) val with offset using(offset)
);
execute immediate (
select '''
select * except(row_id) from temp_table
pivot (any_value(val) for key in ("''' || keys || '"))'
from (
select string_agg(key, '","') keys
from (select distinct key from temp_table)
)
);
if applied to sample data in your question - output is
DML only:
with category_level as (
select
coalesce(
json_query_array(DATA.tasks[a], '$.category-business')
, json_query_array(DATA.tasks[a], '$.category-community')
, json_query_array(DATA.tasks[a], '$.category-3')
, json_query_array(DATA.tasks[a], '$.category-4')
, json_query_array(DATA.tasks[a], '$.category-5')
, json_query_array(DATA.tasks[a], '$.category-6')
, json_query_array(DATA.tasks[a], '$.category-7')
, json_query_array(DATA.tasks[a], '$.category-8')
, json_query_array(DATA.tasks[a], '$.category-9')
, json_query_array(DATA.tasks[a], '$.category-10')
) category_array
from table
left join unnest(generate_array(0, 100)) a
where DATA.tasks[a] is not null
)
select
timestamp_seconds(cast(json_extract_scalar(b.dateCompleted._seconds) as int64)) dateCompleted
, json_extract_scalar(b.slug) slug
, json_extract_scalar(b.status) status
from category_level
left join unnest(category_array) b
https://console.cloud.google.com/bigquery?sq=1013309549723:fe8b75122e5b4b549e8081df99584c81
new version:
select
timestamp_seconds(cast(regexp_extract_all(to_json_string(json_extract(DATA,'$.tasks')), r'"_seconds":(\d*)')[offset(a)] as int64)) dateCompleted
, regexp_extract_all(to_json_string(json_extract(DATA,'$.tasks')), r'"slug":"([a-z\-]*)"')[offset(a)] task_slug
, regexp_extract_all(to_json_string(json_extract(DATA,'$.tasks')), r'"status":"([a-z\-]*)"')[offset(a)] status
from table
join unnest(generate_array(0,-1+array_length(regexp_extract_all(to_json_string(json_extract(DATA,'$.tasks')), r'"slug":"([a-z\-]*)"')))) a
https://console.cloud.google.com/bigquery?sq=1013309549723:9f43bd653ba14589b31a1f5673adcda7
Is there a way to create JSON object in Oracle, for parent child relationship data? For example an organizational structure. Table contains
EmpId Name Title ManagerId
1 John GM 0
2 Smith Manager 1
3 Jason Manager 1
4 Will IP1 3
5 Jade AM 3
6 Mark IP2 5
7 Jane AM2 5
8 Tamara M1 1
9 Dory M2 1
Something like below JSON object is expected.
{
'name': 'John',
'title': 'GM',
'children': [
{ 'name': 'Smith', 'title': 'manager' },
{ 'name': 'Jason', 'title': 'manager',
'children': [
{ 'name': 'Will', 'title': 'IP1' },
{ 'name': 'Jade', 'title': 'AM',
'children': [
{ 'name': 'Mark', 'title': 'IP2' },
{ 'name': 'Jane', 'title': 'AM2' }
]
}
]
},
{ 'name': 'Tamara', 'title': 'M1' },
{ 'name': 'Dory', 'title': 'M2' }
]
}
Oracle Database 12.2 does have a number of JSON generation functions. But these are of limited use. You need to build up the document recursively.
Which I believe requires a bit of hand-crafting.
First use a recursive query to create the org chart, adding which level each person is in the hierarchy.
Then build the JSON by:
If level for the next row is greater than the current, the employee is a manager. And you need to start a child array. Otherwise return a JSON object for the current row
If the current row is the last in the tree, you need to close N arrays and objects. N is how deep the row is in the tree minus one.
Otherwise if the next row is a lower level than the current, you need to close ( current level - next level ) arrays and objects
Then if the next level equals or is less than the current, add a comma
Which gives something like:
create table t (
EmpId int,
Name varchar2(10),
Title varchar2(10),
ManagerId int
);
insert into t values (1, 'John', 'GM' , 0 );
insert into t values (2, 'Smith', 'Manager' , 1 );
insert into t values (3, 'Jason', 'Manager' , 1 );
insert into t values (4, 'Will', 'IP1' , 3 );
insert into t values (5, 'Jade', 'AM' , 3 );
insert into t values (6, 'Mark', 'IP2' , 5 );
insert into t values (7, 'Jane', 'AM2' , 5 );
insert into t values (8, 'Tamar', 'M1' , 1 );
insert into t values (9, 'Dory', 'M2' , 1 );
commit;
with chart (
empid, managerid, name, title, lvl
) as (
select empid, managerid,
name, title, 1 lvl
from t
where empid = 1
union all
select t.empid, t.managerid,
t.name, t.title,
lvl + 1 lvl
from chart c
join t
on c.empid = t.managerid
) search depth first by empid set seq,
jdata as (
select case
/* The employee has reports */
when lead ( lvl ) over ( order by seq ) > lvl then
'{"name": "' || name ||
'", "title": "' || title ||
'", "children": ['
else
json_object ( 'name' value name, 'title' value title )
end ||
case
/* Close arrays & objects */
when lead ( lvl ) over ( order by seq ) is null then
lpad ( ']}', ( lvl - 1 ) * 2, ']}' )
when lead ( lvl ) over ( order by seq ) < lvl then
lpad ( ']}', ( lvl - lead ( lvl ) over ( order by seq ) ) * 2, ']}' )
end ||
case
/* Add closing commas */
when lead ( lvl ) over ( order by seq ) <= lvl then
','
end j,
lead ( lvl ) over ( order by seq ) nlvl,
seq, lvl
from chart
)
select json_query (
listagg ( j )
within group ( order by seq ),
'$' returning varchar2 pretty
) chart_json
from jdata;
CHART_JSON
{
"name" : "John",
"title" : "GM",
"children" :
[
{
"name" : "Smith",
"title" : "Manager"
},
{
"name" : "Jason",
"title" : "Manager",
"children" :
[
{
"name" : "Will",
"title" : "IP1"
},
{
"name" : "Jade",
"title" : "AM",
"children" :
[
{
"name" : "Mark",
"title" : "IP2"
},
{
"name" : "Jane",
"title" : "AM2"
}
]
}
]
},
{
"name" : "Tamar",
"title" : "M1"
},
{
"name" : "Dory",
"title" : "M2"
}
]
}
Is that possible create a multi-level json string in SQL Server 2016 ? I have a table (patient_data) like this:
And what i want to do is to create json string output in SQL Server like this:
{
"patient":[
{
"key":"A",
"data":[
{
"name":"Amy Farha",
"colored":"darkred",
"avatar_url":"https://s3.amazonaws.com/uifaces/faces/twitter/ladylexy/128.jpg",
"subtitle":"Vice President",
"patientid":"qweqweqeqeq"
},
{
"name":"Anies",
"colored":"darkblue",
"avatar_url":"https://s3.amazonaws.com/uifaces/faces/twitter/adhamdannaway/128.jpg",
"subtitle":"Vice Chairman",
"patientid":"avasdasdad"
}
]
},
{
"key":"B",
"data":[
{
"name":"Bryan Adams",
"colored":"darkgreen",
"avatar_url":"https://randomuser.me/api/portraits/med/women/91.jpg",
"subtitle":"Reggae Man",
"patientid":"avasdasdad"
}
]
},
{
"key":"D",
"data":[
{
"name":"David dummy",
"colored":"darkgreen",
"avatar_url":"https://randomuser.me/api/portraits/med/women/91.jpg",
"subtitle":"Reggae Man",
"patientid":"avasdasdad"
}
]
},
{
"key":"M",
"data":[
{
"name":"Muhammad Adams",
"colored":"darkgreen",
"avatar_url":"https://randomuser.me/api/portraits/med/women/91.jpg",
"subtitle":"Reggae Man",
"patientid":"avasdasdad"
}
]
},
{
"key":"T",
"data":[
{
"name":"Tere",
"colored":"darkgreen",
"avatar_url":"https://randomuser.me/api/portraits/med/women/91.jpg",
"subtitle":"Reggae Man",
"patientid":"avasdasdad"
},
{
"name":"Tifanny",
"colored":"darkblue",
"avatar_url":"https://s3.amazonaws.com/uifaces/faces/twitter/adhamdannaway/128.jpg",
"subtitle":"Vice Chairman",
"patientid":"avasdasdad"
}
]
},
{
"key":"X",
"data":[
{
"name":"Xavier",
"colored":"darkgreen",
"avatar_url":"https://randomuser.me/api/portraits/med/women/91.jpg",
"subtitle":"Reggae Man",
"patientid":"avasdasdad"
}
]
}
]
}
**NOTE "key" is a grouping by the first letter of patient's name
I try use json path but couldn't figure out in multi level case .I hope someone can help me
Try the following queries with FOR JSON PATH
-- test data
CREATE TABLE Patients(
id int,
name varchar(100)
)
INSERT Patients(id,name)VALUES
(11,'A Patient 11'),(12,'A Patient 12'),
(21,'B Patient 21'),
(31,'C Patient 31'),(32,'C Patient 32')
-- query 1
SELECT
(
SELECT
k.[key],
(SELECT p.id,p.[name] FROM Patients p WHERE LEFT(p.[name],1)=k.[key] FOR JSON PATH) [data]
FROM
(
SELECT DISTINCT LEFT([name],1) [key]
FROM Patients
) k
ORDER BY k.[key]
FOR JSON PATH
) patient
FOR JSON PATH
/*
[
{"patient":[
{"key":"A","data":[{"id":11,"name":"A Patient 11"},{"id":12,"name":"A Patient 12"}]},
{"key":"B","data":[{"id":21,"name":"B Patient 21"}]},
{"key":"C","data":[{"id":31,"name":"C Patient 31"},{"id":32,"name":"C Patient 32"}]}
]
}
]
*/
-- query 2
SELECT
k.[key] [patient.key],
(SELECT p.id,p.[name] FROM Patients p WHERE LEFT(p.[name],1)=k.[key] FOR JSON PATH) [patient.data]
FROM
(
SELECT DISTINCT LEFT([name],1) [key]
FROM Patients
) k
ORDER BY k.[key]
FOR JSON PATH
/*
[
{"patient":{"key":"A","data":[{"id":11,"name":"A Patient 11"},{"id":12,"name":"A Patient 12"}]}},
{"patient":{"key":"B","data":[{"id":21,"name":"B Patient 21"}]}},
{"patient":{"key":"C","data":[{"id":31,"name":"C Patient 31"},{"id":32,"name":"C Patient 32"}]}}
]
*/
You can append WITHOUT_ARRAY_WRAPPER to remove the brackets [ and ]
SELECT
(
SELECT
k.[key],
(SELECT p.id,p.[name] FROM Patients p WHERE LEFT(p.[name],1)=k.[key] FOR JSON PATH) [data]
FROM
(
SELECT DISTINCT LEFT([name],1) [key]
FROM Patients
) k
ORDER BY k.[key]
FOR JSON PATH
) patient
FOR JSON PATH, WITHOUT_ARRAY_WRAPPER
/*
{
"patient":[
{"key":"A","data":[{"id":11,"name":"A Patient 11"},{"id":12,"name":"A Patient 12"}]},
{"key":"B","data":[{"id":21,"name":"B Patient 21"}]},
{"key":"C","data":[{"id":31,"name":"C Patient 31"},{"id":32,"name":"C Patient 32"}]}
]
}
*/
I found another more shorter variant. You can use ROOT('patient') option here
SELECT
k.[key] [key],
(SELECT p.id,p.[name] FROM Patients p WHERE LEFT(p.[name],1)=k.[key] FOR JSON PATH) [data]
FROM
(
SELECT DISTINCT LEFT([name],1) [key]
FROM Patients
) k
ORDER BY k.[key]
FOR JSON PATH, ROOT('patient')
/*
{
"patient":[
{"key":"A","data":[{"id":11,"name":"A Patient 11"},{"id":12,"name":"A Patient 12"}]},
{"key":"B","data":[{"id":21,"name":"B Patient 21"}]},
{"key":"C","data":[{"id":31,"name":"C Patient 31"},{"id":32,"name":"C Patient 32"}]}
]
}
*/
Morning,
I have the following MDX and would like to place a filter on the measure 'Estimated Unbilled Outstanding Subtotal £'. I have searched through the forums and understand that I should be able to use FILTER or WHERE, but I cannot adapt the examples to work for me. Would really appreciate any assistance.
SELECT
{ [Measures].[Estimated Unbilled Outstanding Subtotal £] } ON COLUMNS
,{ NONEMPTY(
{ [Customer].[Billing Team].[All].CHILDREN }
* { [Customer].[Customer Name].[All].CHILDREN }
* { [Account].[Account ID].[All].CHILDREN }
* { [Account].[Account Type].&[Import]
, [Account].[Account Type].&[Other Non Billable] }
, { [Measures].[Estimated Unbilled Outstanding Subtotal £] }
) } ON ROWS
FROM [BDW];
Many thanks
Adrian
You need to put a filter around the ROWS clause:
SELECT
{ [Measures].[Estimated Unbilled Outstanding Subtotal £] } ON COLUMNS
,
FILTER(
NONEMPTY(
{ [Customer].[Billing Team].[All].CHILDREN }
* { [Customer].[Customer Name].[All].CHILDREN }
* { [Account].[Account ID].[All].CHILDREN }
* { [Account].[Account Type].&[Import]
, [Account].[Account Type].&[Other Non Billable] }
, { [Measures].[Estimated Unbilled Outstanding Subtotal £] }
)
,[Measures].[Estimated Unbilled Outstanding Subtotal £] >1000
)
ON ROWS
FROM [BDW];
In this query i used were clause in that year is 2015 and quarter-[2013]&[Quarter1], how is it possible, and getting result set 10 records. actually result set is not displaying.
WITH MEMBER [Measures].[Test] AS ( [Measures].[ProgramAssessmentPatientCnt] + [Measures].[AssessmentPatientCnt] )
MEMBER [Measures].[Test1] AS ( [Measures].[CCMPatientCnt] + [Measures].[CareteamCnt] + [Measures].[CCMPatientCnt] )
SELECT ( ( { [DimEnrollStatus].[EnrollmentStatus].[EnrollmentStatus] } ),
{ [Measures].[AssessmentPatientCnt], [Measures].[Test], [Measures].[Test1] } ) ON COLUMNS,
Subset (
NonEmpty (
{
( { [DimAssessment].[AssessmentText].[AssessmentText] },
{ [DimAssessment].[QuestionText].[QuestionText] },
{ [DimAssessment].[AnswerText].[AnswerText] } )
},
{ [Measures].[AssessmentPatientCnt], [Measures].[Test], [Measures].[Test1] }
),
0,
10
) ON ROWS
FROM [NavigateCube]
WHERE (
{
( { [DimManagedPopulation].[ManagedPopulationName].&[1044]&[LTC Lincoln Centers] },
{ [DimAnchorDate].[Calender Year].&[2015] },
{ [DimAnchorDate].[Calendar Semester Des].[All] },
{ [DimAnchorDate].[Calendar Quarter Des].&[2013]&[Quarter1] },
{ [DimAnchorDate].[English Month Name Desc].[All] } )
} )
Does this return any rows?
WHERE
(
[DimManagedPopulation].[ManagedPopulationName].&[1044]&[LTC Lincoln Centers],
[DimAnchorDate].[Calender Year].&[2015],
//[DimAnchorDate].[Calendar Semester Des].[All],
[DimAnchorDate].[Calendar Quarter Des].&[2013]&[Quarter1],
[DimAnchorDate].[English Month Name Desc].[All]
);
Maybe the following:
WHERE
(
[DimManagedPopulation].[ManagedPopulationName].&[1044]&[LTC Lincoln Centers],
{
[DimAnchorDate].[Calender Year].&[2015],
[DimAnchorDate].[Calendar Semester Des].[All],
[DimAnchorDate].[Calendar Quarter Des].&[2013]&[Quarter1],
[DimAnchorDate].[English Month Name Desc].[All]
}
);