I have 2 parameters 'Groupby1' and 'Groupby2' in my report,for the first parameters i have specified some values like Column A,column B,Column C. Now i need to make the 2nd parameter cascading based on the first one like if i select Column A in Groupby1 parameter it should display only Column B and Column C in Groupby2 parameter.Is this achievable?
Yes, it's easily achievable. The trick is to make a dataset dependent on just the first parameter, and use it's results for the available options of the second parameter.
A little more detail on how you'd make that happen:
Create the first parameter with options. (GroupBy1)
Create a dataset that uses that parameter either in Where or as a filter.
SELECT 'Web' as Department WHERE 'IT' in ( #GroupBy1 )
UNION ALL
SELECT 'Database' as Department WHERE 'IT' in ( #GroupBy1 )
UNION ALL
SELECT 'Accounts Payable' as Department WHERE 'Accounting' in ( #GroupBy1 )
UNION ALL
SELECT 'Shipping' as Department WHERE 'Warehouse' in ( #GroupBy1 )
UNION ALL
. . .
Create a parameter that uses that data set as available options. (GroupBy2)
Use any combination of these parameters in your core data query or filters.
One restriction is that the parameters must be ordered in the report so that GroupBy1 is before GroupBy2.
Related
I am facing a challenge while filtering records in a SQL Server 2017 table which has a VARCHAR column having JSON type values:
Sample table rows with JSON column values:
Row # 1. {"Department":["QA"]}
Row # 2. {"Department":["DEV","QA"]}
Row # 3. {"Group":["Group 2","Group 12"],"Cluster":[Cluster 11"],"Vertical":
["XYZ"],"Department":["QAT"]}
Row # 4. {"Group":["Group 20"],"Cluster":[Cluster 11"],"Vertical":["XYZ"],"Department":["QAT"]}
Now I need to filter records from this table based on an input parameter which can be in the following format:
Sample JSON input parameter to query:
1. `'{"Department":["QA"]}'` -> This should return Row # 1 as well as Row # 2.
2. `'{"Group":["Group 2"]}'` -> This should return only Row # 3.
So the search should be like if the column value contains "any available json tag with any matching value" then return those matching records.
Note - This is exactly similar to PostgreSQL jsonb as shown below:
PostgreSQL filter clause:
TableName.JSONColumnName #> '{"Department":["QA"]}'::jsonb
By researching on internet I found OPENJSON capability that is available in SQL Server which works as below.
OPENJSON sample example:
SELECT * FROM
tbl_Name UA
CROSS APPLY OPENJSON(UA.JSONColumnTags)
WITH ([Department] NVARCHAR(500) '$.Department', [Market] NVARCHAR(300) '$.Market', [Group] NVARCHAR(300) '$.Group'
) AS OT
WHERE
OT.Department in ('X','Y','Z')
and OT.Market in ('A','B','C')
But the problem with this approach is that if in future there is a need to support any new tag in JSON (like 'Area'), that will also need to be added to every stored procedure where this logic is implemented.
Is there any existing SQL Server 2017 capability I am missing or any dynamic way to implement the same?
Only thing I could think of as an option when using OPENJSON would be break down your search string into its key value pair, break down your table that is storing the json you want to search into its key value pair and join.
There would be limitations to be aware of:
This solution would not work with nested arrays in your json
The search would be OR not AND. Meaning if I passed in multiple "Department" I was searching for, like '{"Department":["QA", "DEV"]}', it would return the rows with either of the values, not those that only contained both.
Here's a working example:
DECLARE #TestData TABLE
(
[TestData] NVARCHAR(MAX)
);
--Load Test Data
INSERT INTO #TestData (
[TestData]
)
VALUES ( '{"Department":["QA"]}' )
, ( '{"Department":["DEV","QA"]}' )
, ( '{"Group":["Group 2","Group 12"],"Cluster":["Cluster 11"],"Vertical": ["XYZ"],"Department":["QAT"]}' )
, ( '{"Group":["Group 20"],"Cluster":["Cluster 11"],"Vertical":["XYZ"],"Department":["QAT"]}' );
--Here is the value we are searching for
DECLARE #SeachJson NVARCHAR(MAX) = '{"Department":["QA"]}';
DECLARE #SearchJson TABLE
(
[Key] NVARCHAR(MAX)
, [Value] NVARCHAR(MAX)
);
--Load the search value into a temp table as its key\value pair.
INSERT INTO #SearchJson (
[Key]
, [Value]
)
SELECT [a].[Key]
, [b].[Value]
FROM OPENJSON(#SeachJson) [a]
CROSS APPLY OPENJSON([a].[Value]) [b];
--Break down TestData into its key\value pair and then join back to the search table.
SELECT [TestData].[TestData]
FROM (
SELECT [a].[TestData]
, [b].[Key]
, [c].[Value]
FROM #TestData [a]
CROSS APPLY OPENJSON([a].[TestData]) [b]
CROSS APPLY OPENJSON([b].[Value]) [c]
) AS [TestData]
INNER JOIN #SearchJson [srch]
ON [srch].[Key] COLLATE DATABASE_DEFAULT = [TestData].[Key]
AND [srch].[Value] = [TestData].[Value];
Which gives you the following results:
TestData
-----------------------------
{"Department":["QA"]}
{"Department":["DEV","QA"]}
Okay so I have two tables:
hscust and hssales_rep
I need to create a view that shows me the reps fname and lname (as well as the customers) and show how much the customer is over on there credit balance.
This is the code I have:
CREATE VIEW OverLimit AS
SELECT
CONCAT(hssales_rep.last,hssales_rep.first) AS Rep,
CONCAT(hscust.last,hscust.first) AS Cust,
SUM(credit_limit - balance)
FROM hscust
INNER JOIN hssales_rep ON hscust.sales_rep = hssales_rep.repid
And it returns an empty result.
Any help is greatly appreciated!
salesrep table
cust table
A CREATE VIEW statement doesn't return a resultset.
A SELECT statement can return an empty resultset. But we'd expect the SELECT statement in your view definition to return either a single row, or throw an error.
I suggest you break this down a bit.
1) What problem is being solved by the CREATE VIEW statement. Why do you need a view?
2) Before you write a CREATE VIEW statement, first develop and test a SELECT statement that returns the required resultset. Do that before you put that into a view definition.
I also strongly recommend that you qualify all column references in the SELECT statement either with the table name or (preferably) a short table alias.
If you want to return a row for each Cust with an aggregate function (e.g. SUM) in your SELECT list, then add an appropriate GROUP BY clause to your SELECT statement.
It's not clear why we would want to use a SUM aggregate function.
The difference between "credit_limit" and "balance" would be the available (remaining) credit. A negative value would indicate the balance was "over" the credit limit.
SELECT CONCAT(r.last,r.first) AS Rep
, CONCAT(c.last,c.first) AS Cust
, c.credit_limit - c.balance AS available_credit
FROM hscust c
JOIN hssales_rep r
ON c.sales_rep=r.repid
ORDER
BY CONCAT(r.last,r.first)
, CONCAT(c.last,c.first)
, c.custid
If we only want to return rows for customers that are "over" their credit limit, we can add a WHERE clause.
SELECT CONCAT(r.last,r.first) AS Rep
, CONCAT(c.last,c.first) AS Cust
, c.credit_limit - c.balance AS available_credit
FROM hscust c
JOIN hssales_rep r
ON c.sales_rep=r.repid
WHERE c.credit_limit - c.balance < 0
ORDER
BY CONCAT(r.last,r.first)
, CONCAT(c.last,c.first)
, c.custid
Again, get a SELECT statement working (returning the required resultset) before you wrap it in a CREATE VIEW.
So I have a table with a column that I need to group by certain categories within that column. For example there is 20 codes in the column that goes in one group called Residential and 30 codes that go in Commercial. Is this possible? How would I create groups made out of multiple different values in the same columns?
You could use a case expression:
SELECT code_group, COUNT(*)
FROM (SELECT CASE WHEN code IN ('code1', 'code2', 'etc') THEN 'Residential'
WHEN code IN ('code3', 'code4') THEN 'Commercial'
ELSE NULL
END AS code_group
FROM . . .) t
GROUP BY code_group
I have the following query
reports = self.session.query((
func.sum(Report.a) / func.sum(Report.b))
.label('c'),
Report.id,
Report.id2
).group_by(Report.id, Report.id2
)
I now want to get the max(c) for the reports, grouped by id.
Essentially, I am trying to have a sqlalchemy solution to this problem
SQL Select only rows with Max Value on a Column
but with the extra requirement that I need to calculate the value column I want to have the max in as in Selecting max value from calculated column in mysql
I am finding it difficult to perform a
SELECT MAX(C), id FROM (SELECT A/B AS C, id FROM TABLE) t
Mark your first query as subquery:
reports = session.query(
(func.sum(Report.a) / func.sum(Report.b)).label('c'),
Report.id,
Report.id2
).group_by(Report.id, Report.id2).subquery()
After this it can be used in another query as if it was a table:
# reports.c is a shorthand for reports.columns
q = session.query(
func.max(reports.c.c),
reports.c.id
).group_by(reports.c.id)
SELECT quantity, materialTypeId ,
(SELECT typeName
FROM invTypes
WHERE TypeID IN (SELECT materialTypeId
FROM invTypeMaterials
WHERE typeId= 12743
)
) AS material
FROM invTypeMaterials
WHERE TypeID=12743
so this query gives me nice results except the column material. only shows me the first entry instead of giving the name of each row.
if i run these sql seperate they work and i do see what i want. i just need them combined into 2 columns.
what i want to do is, i query one table for data, one of the column has a value wich i want to convert to a name, and that is in another table and its linked by a unique TypeID
Chilly
May be this will work :
SELECT tm.quantity, tm.materialTypeId , t.typeName
FROM invTypeMaterials tm
INNER JOIN invTypes t ON t.TypeID = tm.materialTypeId
WHERE tm.TypeID=12743
If you want to lookup the materialTypeID's name for the current record, you must not use a separate subquery but use the materialTypeID value from the outer query.
This is called a correlated subquery:
SELECT quantity, materialTypeId,
(SELECT typeName
FROM invTypes
WHERE TypeID = invTypeMaterials.materialTypeId
) AS material
FROM invTypeMaterials
WHERE TypeID=12743