I have a table "jobs" with one of the columns called "check_list" ( varchar(max) that has JSON values, an example value would be
{
"items":[
{
"name":"machine 1",
"state":"",
"comment":"",
"isReleaseToProductionCheck":true,
"mnachine_id":10
},
{
"name":"machine 2",
"state":"",
"comment":"",
"isReleaseToProductionCheck":true,
"machine_id":12
}
]
}
Now how would I write a SQL query to only return the rows where the column "check_list" has items[machine_id] = 12
In the end after some trial and error this was the solution that worked for me. I had to add the ISJSON check because some of the older data was invalid
WITH jobs (id, workorder, selectedMachine) AS(
SELECT
[id],
[workorder],
(
select
*
from
openjson(check_list, '$.items') with (machine_id int '$.machine_id')
where
machine_id = 12
) as selectedMachine
FROM
engineering_job_schedule
WHERE
ISJSON(check_list) > 0
)
Select
*
from
jobs
where
selectedMachine = 12
Related
I have a column 'amp' in a table 'EXAMPLE'. Column 'amp' is an array which looks like this:
[{
"list": [{
"element": {
"x_id": "12356789XXX",
"y_id": "12356789XXX38998",
}
},
{
"element": {
"x_id": "5677888356789XXX",
"y_id": "1XXX387688",
}
}]
}]
How should I query using get_path() or flatten() to extract the latest x_id and y_id value (or other alternative)
In this example it is only 2 elements, but there could 1 to 6000 elements containing x_id and y_id.
Help much appreciated!
Someone may have a more elegant way than this, but you can use a CTE. In the first table expression, grab the max of the array. In the second part, grab the values you need.
set json = '[{"list": [{"element": {"x_id": "12356789XXX","y_id": "12356789XXX38998"}},{"element": {"x_id": "5677888356789XXX","y_id": "1XXX387688",}}]}]';
create temp table foo(v variant);
insert into foo select parse_json($json);
with
MAX_INDEX(M) as
(
select max("INDEX") MAX_INDEX
from foo, lateral flatten(v, recursive => true)
),
VALS(V, P, K) as
(
select "VALUE", "PATH", "KEY"
from foo, lateral flatten(v, recursive => true)
)
select k as "KEY", V::string as VALUE from vals, max_index
where VALS.P = '[0].list[' || max_index.m || '].element.x_id' or
VALS.P = '[0].list[' || max_index.m || '].element.y_id'
;
Assuming that the outer array ALWAYS contains a single dictionary element, you could use this:
SELECT amp[0]:"list"[ARRAY_SIZE(amp[0]:"list")-1]:"element":"x_id"::VARCHAR AS x_id
,amp[0]:"list"[ARRAY_SIZE(amp[0]:"list")-1]:"element":"y_id"::VARCHAR AS y_id
FROM T
;
Or if you prefer a bit more modularity/readability, you could use this:
WITH CTE1 AS (
SELECT amp[0]:"list" AS _ARRAY
FROM T
)
,CTE2 AS (
SELECT _ARRAY[ARRAY_SIZE(_ARRAY)-1]:"element" AS _DICT
FROM CTE1
)
SELECT _DICT:"x_id"::VARCHAR AS x_id
,_DICT:"y_id"::VARCHAR AS y_id
FROM CTE2
;
Note: I have not used FLATTEN here because I did not see a good reason to use it.
I am writing a post api in c# to select some values in Azure Cosmos db and is using direct sql queries.
The aim to get the highest value against each id from the request.
request body:
[
{
"userid":"1"
},
{
"userid":"4"
}
]
Db looks like:
{
"userid":"1",
"value":"10",
"Date":"10-9-19"
}
{
"userid":"1",
"value":"20",
"Date":"11-8-19"
}
{
"userid":"4",
"value":"30",
"Date":"10-9-19"
}
{
"userid":"4",
"value":"40",
"Date":"11-9-19"
}
Expected output:
[
{
"userid":"4",
"value":"40",
"Date":"11-9-19"
},
{
"userid":"1",
"value":"20",
"Date":"11-8-19"
}
]
I tried to get the id's into an array then used 'IN' operator, but it would be helpful and appreciated is there more simple query would help.
try the following to get the results.
As per your data, this will work.
SELECT userid,
MAX(value) value,
MAX(Date) Date
FROM YourTable
GROUP BY userid
ORDER BY userid
If you want related date for the MAX(Value), then try this.
SELECT Y.userid, Y.Value, Y.Date
FROM YourTable Y
JOIN
(
SELECT userid,
MAX(value) value
FROM YourTable
GROUP BY userid
)D ON D.userid = Y.userid AND D.value = Y.value
I have below select statement which I want to convert into cube members and calculate the sum.
SELECT NON EMPTY { [Measures].[volume] } ON COLUMNS, NON EMPTY { ([par_Account].[Account].[Account].ALLMEMBERS * [Product].[Hierarchy].[Local product var].ALLMEMBERS ) } ON ROWS FROM ( SELECT ( { [Product].[Hierarchy].[local product Group].&[-33554010354150679].&[-952789350662854159].&[8639428195894987853] } ) ON COLUMNS FROM ( SELECT ( { [Time].[Financial Period].&[-8540082585673218205] } ) ON COLUMNS FROM ( SELECT ( { [Market].[Market].&[-3381499019102906042] } ) ON COLUMNS FROM [cube]))) WHERE ( [Market].[Market].&[-3381499019102906042], [Time].[Financial Period].&[-8540082585673218205] )
Please help me with this.
I guess this is what you are looking for. However its always nice to explain what your problem is, or perhaps provide screenshot.
SELECT
NON EMPTY { [Measures].[volume] } ON COLUMNS,
NON EMPTY {
(
[Market].[Market].&[-3381499019102906042] *
[Time].[Financial Period].&[-8540082585673218205] *
{ [Product].[Hierarchy].[local product Group].&[-33554010354150679].&[-952789350662854159].&[8639428195894987853] } *
[par_Account].[Account].[Account].ALLMEMBERS *
[Product].[Hierarchy].[Local product var].ALLMEMBERS
)
} ON ROWS
from [cube]
I have a problem with MDX querying.
I have one measure WEIGHT and two dimensions DESTINATION and SOURCE with the same attributes: NAME and TYPE.
I want to return:
SUM of WEIGHT
where
DESTINATION.TYPE="A"
**OR**
SOURCE.TYPE="B"
**AND**
(DESTINATION.TYPE **<>** SOURCE.TYPE)
If try this:
SELECT NON EMPTY {
[Measures].[Weight]
}
ON COLUMNS,
NON EMPTY {
([Source].[Name].[Name].ALLMEMBERS * [Destination].[Name].[Name].ALLMEMBERS )
}
ON ROWS
FROM
( SELECT ( { [Source].[Type].&[A] } ) ON COLUMNS FROM ( SELECT ( { [Destination].[Type].&[B] } )
ON COLUMNS FROM [CUBE])) WHERE ( [Destination].[Type].&[B], [Source].[Type].&[A] )
But it doesn't work.
In SQL it look like
Select source.name, destination.name, sum(weight) from cube
where
(source.type = "A" or destination.type = "b")
and
(source.type <> destination.type)
group by source.name, destination.name, source.type, destination.type
Your From section is a bit messy. Try the following:
SELECT
NON EMPTY { [Measures].[Weight] } ON COLUMNS,
NON EMPTY { [Source].[Name].[Name].ALLMEMBERS * [Destination].[Name].[Name].ALLMEMBERS } ON ROWS
FROM [CUBE]
WHERE ( {[Destination].[Type].&[B]} * {[Source].[Type].[All]} + {[Destination].[Type].[All]} * {[Source].[Type].&[A]} )
I am attempting to implement paging to large datasets in MDX (SSAS).
I have the following to retrieve paged data which works fine:
SELECT
{
[Measures].[Mesasure1],
[Measures].[Measure2]
} ON COLUMNS,
SUBSET
(
ORDER
(
{
(
[Item].[Category].ALLMEMBERS
)
}, NULL, BASC
), 10, 50 --10 = start index, 50 = returned roes
)
ON ROWS
FROM ( SELECT ( { [Time].[Date].&[2012-04-15T00:00:00]:[Time].[Date].&[2012-04-20T00:00:00] } ) ON COLUMNS
FROM [DataMartPerformance]
))
However I cannot for the life of me find anywhere on the internet that helps explain how to get the total rows available. Do I do it in a seperate query? If so how?
Or can I wrap it into this one query somehow?
Similar to how you'd do TSQL paging, you'll need to run another query to count the total elements. You may have to tinker with this depending on how you've done your original query, but I use something like:
WITH
MEMBER [Measures].[ElementCount] AS
{
NONEMPTY
(
{
[Item].[Category].ALLMEMBERS *
{ [Time].[Date].&[2012-04-15T00:00:00]:[Time].[Date].&[2012-04-20T00:00:00] }
},
{
[Measures].[Mesasure1],
[Measures].[Measure2]
}
)
}.COUNT
SELECT
{
[Measures].[ElementCount]
}
ON COLUMNS
FROM
[DataMartPerformance]
For filtering, you can do dimension filters by using an exists against your dimension attributes:
WITH
MEMBER [Measures].[ElementCount] AS
{
NONEMPTY
(
EXISTS
(
{
[Item].[Category].ALLMEMBERS *
{ [Time].[Date].&[2012-04-15T00:00:00]:[Time].[Date].&[2012-04-20T00:00:00] }
},
{
[Dimension].[Attribute].[FilterByThisAttribute]
}
),
{
[Measures].[Mesasure1],
[Measures].[Measure2]
}
)
}.COUNT
SELECT
{
[Measures].[ElementCount]
}
ON COLUMNS
FROM
[DataMartPerformance]
I haven't got to writing the measure value filters yet, I need to do that next for my own MDX paging constructor...
Please try this:
WITH
SET MySet As
(
NONEMPTY (
[AU Time Sale Hour].[Hour Key].[Hour Key]
* [Dim Country].[Country Key].[Country Key]
)
)
Member [Measures] .cnt AS MySet.Count
select [Measures] .cnt on Columns
from [Me Stats DW Fact Sales]
where (
{[Dim Visa].[Visa Key].&[2067],[Dim Visa].[Visa Key].&[2068] },
[AU Time Sale Date].[Date].&[20091120]:[AU Time Sale Date].[Date].&[20091125]
)