SQL statement:
(select top 1 [egrp_name] from [Enotify Group] where [egrp_id] in (a.grp_id) )
e value of a.grp_id is '0,1145' and i am getting error
Conversion failed when converting the varchar value '0,1145' to data type int.
Can anybody tell me how can i change '0,1145' to 0,1145 in above case, so my query does work and also if their is any other way to do this
You can use a split-string function to change your comma delimited string into a table.
select top(1) [egrp_name]
from [Enotify Group]
where [egrp_id] in (
select Value
from dbo.SplitInts(a.grp_id)
);
One version of a split-string function that you can use if you like:
create function dbo.SplitInts(#Values nvarchar(max)) returns table with schemabinding
as
return
(
select T2.X.value(N'.', N'int') as Value
from (select cast(N'<?X '+replace(#Values, N',', N'?><?X ') + N'?>' as xml).query(N'.')) as T1(X)
cross apply T1.X.nodes(N'/processing-instruction("X")') as T2(X)
);
Or you can use like.
select top(1) [egrp_name]
from [Enotify Group]
where ','+a.grp_id +',' like '%,'+cast(egrp_id as varchar(11))+',%' ;
Related
I have one string element, for example : "(1111, Tem1), (0000, Tem2)" and hope to generate a data table such as
var1
var2
1111
Tem1
0000
Tem2
This is my code, I created the lag token and filter with odd rows element.
with var_ as (
select '(1111, Tem1), (0000, Tem2)' as pattern_
)
select tbb1.*, tbb2.result_string as result_string_previous
from(
select tb1.*,
min(token) over(partition by 1 order by token asc rows between 1 preceding and 1 preceding) as min_token
from
table (
strtok_split_to_table(1, var_.pattern_, '(), ')
returns (outkey INTEGER, token INTEGER, result_string varchar(20))
) as tb1) tbb1
inner join (select min_token, result_string from tbb1) tbb2
on tbb1.token = tbb2.min_token
where (token mod 2) = 0;
But it seems that i can't generate new variables in "from" step and applied it directly in "join" step.
so I wanna ask is still possible to get the result what i want in my procedure? or is there any suggestion?
Thanks for all your assistance.
I wouldn't split / recombine the groups. Split each group to a row, then split the values within the row, e.g.
with var_ as (
select '(1111, Tem1), (0000, Tem2)' as pattern_
),
split1 as (
select trim(leading '(' from result_string) as string_
from
table ( /* split at & remove right parenthesis */
regexp_split_to_table(1, var_.pattern_, '\)((, )|$)','c')
returns (outkey INTEGER, token_nbr INTEGER, result_string varchar(256))
) as tb1
)
select *
from table(
csvld(split1.string_, ',', '"')
returns (var1 VARCHAR(16), var2 VARCHAR(16))
) as tb2
;
How i can get value like this in a variable 'TFSEP-2019','TFjul-2018','TFJun-2018' without spaces.
SELECT s.house, s.grade, s.homeroom AS Campus
FROM student s,fees_jrl f
WHERE s.studnum = f.studnum AND
f.name IN (' TFJun-2018 TFJul-2018 ') AND
f.trans_type= 'chg' AND
f.paid_id is NULL AND s.house LIKE '%'
GROUP BY s.house
I am getting like this ('TFJun-2018 TFJUL-2018 TFSEP-2019') but I want like ('TFSEP-2019','TFjul-2018','TFJun-2018') please help
You may refer the following statements with like operators, whenever you need quotes('), use doubled-quotes('') :
create table tab ( Id int, expression varchar(100));
insert into tab values(1 ,'TFJun-2018 TFJUL-2018 TFSEP-2019');
insert into tab values(2,'''TFJun-2018'',''TFJUL-2018'',''TFSEP-2019''');
select * from tab where expression like '''TFJun-2018''%';
Id expression
2 'TFJun-2018','TFJUL-2018','TFSEP-2019'
or
select * from tab where expression like '''TFJun-2018'',''TFJUL-2018''%';
Id expression
2 'TFJun-2018','TFJUL-2018','TFSEP-2019'
or
select * from tab where expression like '''TFJun-2018'',''TFJUL-2018'',''TFSEP-2019''%';
Id expression
2 'TFJun-2018','TFJUL-2018','TFSEP-2019'
Rextester Demo
You can use like for strings
% means any chars, _ means one char
So doing
F.name like %2018%
Will give you all of 2018..
use explicit join and concat
SELECT
concat( concat( concat( concat("'",s.house),"'"),concat( concat("'",s.grade),"'")),
concat( concat("'",s.homeroom),"'"))
FROM student s join fees_jrl f
on s.studnum = f.studnum
where f.name IN (' TFJun-2018 TFJul-2018 ') AND
f.trans_type= 'chg' AND
f.paid_id is NULL AND s.house LIKE '%'
I think you dont need group by as you have no aggregation function
In SQL Server, how can I check if a string is valid JSON and the keys are all unique?
According to the T-SQL documentation, the regular ISJSON method does not check that the keys on the same level are unique.
You can use a Recursive Common Table Expression to do this. EG something like:
DECLARE #json NVARCHAR(4000) = N'{
"StringValue":"John",
"IntValue":45,
"TrueValue":true,
"FalseValue":false,
"NullValue":null,
"ArrayValue":["a","r","r","a","y"],
"ObjectValue":{"obj":"ect"}
}';
with q as
(
select [key] path, [key], value, type, 0 level
from openjson(#json)
union all
select concat(q.path,'\',n.[key]), n.[key], n.value, n.type, q.level + 1
from q
cross apply openjson(q.value) n
where q.type in (4,5)
)
select *, count(*) over (partition by path) pathCount
from q
I've got a report that has 6 parameters. All parameters need to be optional and 3 have to be multi-value. One of the optional parameters is a dropdown, the rest are manually keyed in text boxes.
The Where clause below works when there are multiple #VendorNum values and one #FullJA value, but fails with multiple #FullJA values regardless of the #VendorNum count.
Parameters:
#VendorNum - keyed manually by user (space delimited) - optional, can be multivalue
#FullJA - keyed manually by user (space delimited) - optional, can be multivalue
#BU - optional, can be multivalue - when #JA is populated, this will auto-populate, if #JA isn't populated it's a dropdown with all selected.
#JA3 - keyed by user - optional, single value
#StartDate and #EndDate - optional single values
select * from some_table
WHERE
/*FULL JA*/
(
SUBSTRING(VendorNum, PATINDEX('%[^0]%', VendorNum + '.'), LEN(VendorNum)
) IN (#VendorNum)
AND LEFT(JA, 7) IN (#FullJA)
AND BU IN(#BU)
AND #JA3 IS NULL
)
OR
/*DATE RANGE*/
(
SUBSTRING(VendorNum, PATINDEX('%[^0]%', VendorNum + '.'), LEN(VendorNum)
) IN (#VendorNum)
AND LEN(ISNULL(CONVERT(VARCHAR(20), Cleared_When), '0')) >= #ClearedOnly
AND ad.Audit_Publish_Date >= ISNULL(#StartDate, '2015-01-01')
AND ad.Audit_Publish_Date <= ISNULL(#EndDate, '2025-12-31')
AND BU IN (#BU)
AND #FullJA IS NULL
AND #JA3 IS NULL
)
/*BUS UNIT AND JA3*/
OR (
SUBSTRING(VendorNum, PATINDEX('%[^0]%', VendorNum + '.'), LEN(VendorNum)
) IN (#VendorNum)
AND BU IN (#BU)
AND ad.Audit_Publish_Date >= ISNULL(#StartDate, '2015-01-01')
AND ad.Audit_Publish_Date <= ISNULL(#EndDate, '2025-12-31')
AND LEFT(JA, 3) = (#JA3)
AND #FullJA IS NULL
)
/*BUS UNIT ONLY*/
OR (
SUBSTRING(VendorNum, PATINDEX('%[^0]%', VendorNum + '.'), LEN(VendorNum)
) IN (#VendorNum)
AND BU IN (#BU)
AND ad.Audit_Publish_Date >= ISNULL(#StartDate, '2015-01-01')
AND ad.Audit_Publish_Date <= ISNULL(#EndDate, '2025-12-31')
AND #JA3 IS NULL
AND #FullJA IS NULL
)
The dataset parameter values for #FullJA and #VendorNum are both
=IIF(InStr(Parameters!FullJA.Value," ")>0,SPLIT(Parameters!FullJA.Value," "),Parameters!FullJA.Value) and all params are set as NOT multivalue, with nulls allowed.
Any help would be greatly appreciated. I've written over 200 reports for this project and this is the only one that is really grinding my gears!
Thanks!
I would approach this by building up some temp tables / table variables, to hold the potentially multi-valued variables, and then joining to those tables. This has the advantage of you being able to insert all possible values, in the case they have omitted the variable. So, you'd split your strings and put them into those tables (something along the lines of this example) if given the variable, and otherwise just do an insert into to populate your temp table / table variable.
For a split function, I prefer something like this:
create FUNCTION [dbo].[Split] (#sep VARCHAR(32), #s VARCHAR(MAX))
RETURNS TABLE
AS
RETURN
(
SELECT r.value('.','VARCHAR(MAX)') as Item
FROM (SELECT CONVERT(XML, N'<root><r>' + REPLACE(REPLACE(REPLACE(#s,'& ','& '),'<','<'), #sep, '</r><r>') + '</r></root>') as valxml) x
CROSS APPLY x.valxml.nodes('//root/r') AS RECORDS(r)
)
GO
GRANT SELECT
ON OBJECT::[dbo].[Split] TO PUBLIC
AS [dbo];
I would then put those variables into a table using something like this (my separator is a ", "):
select ltrim(rtrim(ppl.Item)) as PersonName
into #gppl
from dbo.Split(', ', #PersonListForCompare) as ppl
You would do something more like:
select ltrim(rtrim(vnd.Item)) as VendorNum
into #vendorNums
from dbo.Split(', ', #VendorNum) as vnd
You would then join to that temp table just like any other table & use it to limit your results that way. In your case, you want to put in all vendors (possibly) if they didn't give you any input. So, you'd do something like:
create table #vendorNums (VendorName varchar(64)) --I have no idea, here, what this data looks like
if #VendorNum is not null and datalength(#VendorNum) > 0
insert into into #vendorNums (VendorNum)
select ltrim(rtrim(vnd.Item))
from dbo.Split(', ', #VendorNum) as vnd
else
insert into into #vendorNums (VendorNum)
select VendorNum
from dbo.Vendors
That said, I think that you could use your select from dbo.Split directly as a table in a join, rather than putting it into the temp table. Only problem would be you'd have to be sure you had data in there to split, or else you're going to have a bunch of combinations to get the right match-up of null parameters vs. filled ones.
I have a database which has a field titled 'address1'. If there is only 1 string in this field for a record, I am able to correct the case from eg 'PAULSTOWN' to 'Paulstown', or 'bishopslough' to 'Bishopslough'.
I have done this by creating a function:
CREATE FUNCTION init_cap (s VARCHAR(255))
RETURNS VARCHAR(255) DETERMINISTIC
RETURN CONCAT( UPPER( SUBSTRING( s, 1, 1 ) ) , LOWER( SUBSTRING( s FROM 2 ) ) );
Then using:
UPDATE customer SET address1 = init_cap(address1);
To correct records.
However, this does not fully correct records that contain more than one string, eg 'dalesfort road' will only be corrected to 'Dalesfort road' and not 'Dalesfort Road'. There are also some entries with more than 2 strings.
How could I change the above function to cater for 2 or more strings? Also is that function declared correctly, or should I be using begin and end sections?
It's ok I found the answer at artfulsoftware.com
Now I just need to analyse the code and learn how it works!