I want to group a result set by a column and combine the remaining columns into a json array, but I'm not sure how to aggregate the results for this.
I want the following output:
A_ID | Translations
--------------------
1 | [{"Name": "english_1","LCID": "en-gb"},{"Name": "french_1","LCID": "fr-fr"}]
2 | [{"Name": "english_2","LCID": "en-gb"},{"Name": "french_2","LCID": "fr-fr"}]
But I cannot group the results by A_ID without an aggregator so I get the following
A_ID | Translations
--------------------
1 | [{"Name": "english_1","LCID": "en-gb"}]
1 | [{"Name": "french_1","LCID": "fr-fr"}]
2 | [{"Name": "english_2","LCID": "en-gb"}]
2 | [{"Name": "french_2","LCID": "fr-fr"}]
Here is an example:
DROP TABLE IF EXISTS #tabA;
DROP TABLE IF EXISTS #tabB;
DROP TABLE IF EXISTS #tabC;
go
CREATE TABLE #tabA
(
Id int not null
);
CREATE TABLE #tabTranslations
(
translationId int not null,
Name nvarchar(32) not null,
aId int not null, -- Foreign key.
languageId int not null --Foreign key
);
CREATE TABLE #tabLanguages
(
languageId int not null,
LCID nvarchar(32) not null
);
go
INSERT INTO #tabA (Id)
VALUES
(1),
(2);
INSERT INTO #tabTranslations (translationId, Name, aId, languageId)
VALUES
(1, 'english_1', 1, 1),
(2, 'french_1', 1, 2),
(3, 'english_2', 2, 1),
(4, 'french_2', 2, 2);
INSERT INTO #tabLanguages (languageId, LCID)
VALUES
(1, 'en-gb'),
(2, 'fr-fr');
go
select
_a.Id as A_ID,
(
select
_translation.Name,
_language.LCID
for json path
)
from #tabA as _a
inner join #tabTranslations as _translation ON _translation.aId = _a.Id
inner join #tabLanguages as _language ON _language.languageId = _translation.languageId
-- group by _a.Id ??
;
go
DROP TABLE IF EXISTS #tabA;
DROP TABLE IF EXISTS #tabTranslations;
DROP TABLE IF EXISTS #tabLanguages;
go
Alternative solution:
I know I can do this, but I obviously don't want to hard code the available LCIDs (maybe I could generate the sql query and exec it? but this feels too complex), also I would prefer an array
select
_a.Id as A_ID,
(
SELECT
MAX(CASE WHEN [LCID] = 'en-gb' THEN [Name] END) 'en-gb',
MAX(CASE WHEN [LCID] = 'fr-fr' THEN [Name] END) 'fr-fr'
FOR JSON PATH, WITHOUT_ARRAY_WRAPPER
) as b
from #tabA as _a
inner join #tabTranslations as _translation ON _translation.aId = _a.Id
inner join #tabLanguages as _language ON _language.languageId = _translation.languageId
group by _a.Id;
result:
A_ID | Translations
--------------------
1 | { "en-Gb": "english_1", "fr-FR": "french_1"}
2 | { "en-Gb": "english_2", "fr-FR": "french_2"}
If I understand you correctly, next approach may help. Use additional CROSS APPLY operator and FOR JSON PATH to get your expected results:
Statement:
SELECT *
FROM #tabA AS t
CROSS APPLY (
SELECT _translation.Name AS Name, _language.LCID AS LCID
FROM #tabA _a
inner join #tabTranslations as _translation ON _translation.aId = _a.Id
inner join #tabLanguages as _language ON _language.languageId = _translation.languageId
WHERE _a.Id = t.Id
for json path
) _c(Translations)
Output:
Id Translations
1 [{"Name":"english_1","LCID":"en-gb"},{"Name":"french_1","LCID":"fr-fr"}]
2 [{"Name":"english_2","LCID":"en-gb"},{"Name":"french_2","LCID":"fr-fr"}]
Related
I am trying to connect records from two different tables so I can display the data in a tabular format in an SSRS tablix.
The code below does not return the expected results.
As is, for each item in Temp_A the loop updates everything with the last item in Temp_C. Here is the code:
CREATE TABLE #Temp_A
(
[ID] INT,
[Name] VARCHAR(255)
)
INSERT INTO #Temp_A ([ID], [Name])
VALUES (1, 'A'), (2, 'B')
CREATE TABLE #Temp_C
(
[ID] INT,
[Name] VARCHAR(255)
)
INSERT INTO #Temp_C ([ID], [Name])
VALUES (1, 'C'), (2, 'D')
CREATE TABLE #Temp_Main
(
[Temp_A_ID] INT,
[Temp_A_Name] VARCHAR(255),
[Temp_C_ID] INT,
[Temp_C_Name] VARCHAR(255),
)
DECLARE #MIN_AID int = (SELECT MIN(ID) FROM #Temp_A)
DECLARE #MAX_AID int = (SELECT MAX(ID) FROM #Temp_A)
DECLARE #MIN_DID int = (SELECT MIN(ID) FROM #Temp_C)
DECLARE #MAX_DID int = (SELECT MAX(ID) FROM #Temp_C)
WHILE #MIN_AID <= #MAX_AID
BEGIN
WHILE #MIN_DID <= #MAX_DID
BEGIN
INSERT INTO #Temp_Main([Temp_A_ID], [Temp_A_Name])
SELECT ID, [Name]
FROM #Temp_A
WHERE ID = #MIN_AID
UPDATE #Temp_Main
SET [Temp_C_ID] = ID, [Temp_C_Name] = [Name]
FROM #Temp_C
WHERE ID = #MIN_DID
SET #MIN_DID = #MIN_DID + 1
END
SET #MIN_AID = #MIN_AID + 1
SET #MIN_DID = 1
END
SELECT * FROM #Temp_Main
DROP TABLE #Temp_A
DROP TABLE #Temp_C
DROP TABLE #Temp_Main
Incorrect result:
Temp_A_ID | Temp_A_Name | Temp_C_ID | Temp_C_Name
----------+-------------+-----------+---------------
1 A 2 D
1 A 2 D
2 B 2 D
2 B 2 D
Expected results:
Temp_A_ID | Temp_A_Name | Temp_C_ID | Temp_C_Name
----------+-------------+-----------+---------------
1 A 1 C
1 A 2 D
2 B 1 C
2 B 2 D
What am I missing?
You seem to want a cross join:
select a.*, c.*
from #Temp_A a cross join
#Temp_C c
order by a.id, c.id;
Here is a db<>fiddle.
There is no need to write a WHILE loop to do this.
You can use insert to insert this into #TempMain, but I don't se a need to have a temporary table for storing the results of this query.
I have the following table Items:
Id MemberId MemberGuid ExpiryYear Hash
---------------------------------------------------------------------------
1 1 Guid1 2017 Hash1
2 1 Guid2 2018 Hash2
3 2 Guid3 2020 Hash3
4 2 Guid4 2017 Hash1
I need to copy the items from a member to another (not just to update MemberId, to insert a new record). The rule is: if I want to migrate all the items from a member to another, I will have to check that that item does not exists in the new member.
For example, if I want to move the items from member 1 to member 2, I will move only item with id 2, because I already have an item at member 2 with the same hash and with the same expiry year (this are the columns that I need to check before inserting the new items).
How to write a query that migrates only the non-existing items from a member to another and get the old id and the new id of the records? Somehow with an upsert?
You can as the below:
-- MOCK DATA
DECLARE #Tbl TABLE
(
Id INT IDENTITY NOT NULL PRIMARY KEY,
MemberId INT,
MemberGuid CHAR(5),
ExpiryYear CHAR(4),
Hash CHAR(5)
)
INSERT INTO #Tbl
VALUES
(1, 'Guid1', '2017', 'Hash1'),
(1, 'Guid2', '2018', 'Hash1'),
(2, 'Guid3', '2020', 'Hash3'),
(2, 'Guid4', '2017', 'Hash1')
-- MOCK DATA
-- Parameters
DECLARE #FromParam INT = 1
DECLARE #ToParam INT = 2
DECLARE #TmpTable TABLE (NewDataId INT, OldDataId INT)
MERGE #Tbl AS T
USING
(
SELECT * FROM #Tbl
WHERE MemberId = #FromParam
) AS F
ON T.Hash = F.Hash AND
T.ExpiryYear = F.ExpiryYear AND
T.MemberId = #ToParam
WHEN NOT MATCHED THEN
INSERT ( MemberId, MemberGuid, ExpiryYear, Hash)
VALUES ( #ToParam, F.MemberGuid, F.ExpiryYear, F.Hash)
OUTPUT inserted.Id, F.Id INTO #TmpTable;
SELECT * FROM #TmpTable
Step 1:
Get in cursor all the data of member 1
Step 2:
While moving through cursor.
Begin
select hash, expirydate from items where memberid=2 and hash=member1.hash and expirydate=member1.expirydate
Step 3
If above brings any result, do not insert.
else insert.
Hope this helps
Note: this is not actual code. I am providing you just steps based on which you can write sql.
Actually you just need an insert. When ExpiryYear and Hash matched you don't wanna do anything. You just wanna insert from source to target where those columns doesn't match. You can do that with Merge or Insert.
CREATE TABLE YourTable
(
Oldid INT,
OldMemberId INT,
Id INT,
MemberId INT,
MemberGuid CHAR(5),
ExpiryYear CHAR(4),
Hash CHAR(5)
)
INSERT INTO YourTable VALUES
(null, null, 1, 1, 'Guid1', '2017', 'Hash1'),
(null, null, 2, 1, 'Guid2', '2018', 'Hash2'),
(null, null, 3, 2, 'Guid3', '2020', 'Hash3'),
(null, null, 4, 2, 'Guid4', '2017', 'Hash1')
DECLARE #SourceMemberID AS INT = 1
DECLARE #TargetMemberID AS INT = 2
MERGE [YourTable] AS t
USING
(
SELECT * FROM [YourTable]
WHERE MemberId = #SourceMemberID
) AS s
ON t.Hash = s.Hash AND t.ExpiryYear = s.ExpiryYear AND t.MemberId = #TargetMemberID
WHEN NOT MATCHED THEN
INSERT(Oldid, OldMemberId, Id, MemberId, MemberGuid, ExpiryYear, Hash) VALUES (s.Id, s.MemberId, (SELECT MAX(Id) + 1 FROM [YourTable]), #TargetMemberID, s.MemberGuid, s.ExpiryYear, s.Hash);
SELECT * FROM YourTable
DROP TABLE YourTable
/* Output:
Oldid OldMemberId Id MemberId MemberGuid ExpiryYear Hash
-----------------------------------------------------------------
NULL NULL 1 1 Guid1 2017 Hash1
NULL NULL 2 1 Guid2 2018 Hash2
NULL NULL 3 2 Guid3 2020 Hash3
NULL NULL 4 2 Guid4 2017 Hash1
2 1 5 2 Guid2 2018 Hash2
If you just want to select then do as following
SELECT null AS OldID, null AS OldMemberID, Id, MemberId, MemberGuid, ExpiryYear, Hash FROM YourTable
UNION ALL
SELECT A.Id AS OldID, A.MemberId AS OldMemberID, (SELECT MAX(Id) + 1 FROM YourTable) AS Id, #TargetMemberID AS MemberId, A.MemberGuid, A.ExpiryYear, A.Hash
FROM YourTable A
LEFT JOIN
(
SELECT * FROM YourTable WHERE MemberId = #TargetMemberID
) B ON A.ExpiryYear = B.ExpiryYear AND A.Hash = B.Hash
WHERE A.MemberId = #SourceMemberID AND B.Id IS NULL
We have these tables
CREATE TABLE tbl01
(
[id] int NOT NULL PRIMARY KEY,
[name] nvarchar(50) NOT NULL
)
CREATE TABLE tbl02
(
[subId] int NOT NULL PRIMARY KEY ,
[id] int NOT NULL REFERENCES tbl01(id),
[val] nvarchar(50) NULL,
[code] int NULL
)
If we run this query:
SELECT
tbl01.id, tbl01.name, tbl02.val, tbl02.code
FROM
tbl01
INNER JOIN
tbl02 ON tbl01.id = tbl02.id
we get these results:
-------------------------------
id | name | val | code
-------------------------------
1 | one | FirstVal | 1
1 | one | SecondVal | 2
2 | two | YourVal | 1
2 | two | OurVal | 2
3 | three | NotVal | 1
3 | three | ThisVal | 2
-------------------------------
You can see that each two rows are related to same "id"
The question is: we need for each id to retrieve one record with all val, each val will return in column according to the value of column code
if(code = 1) then val as val-1
else if (code = 2) then val as val-2
Like this:
-------------------------------
id | name | val-1 | val-2
-------------------------------
1 | one | FirstVal | SecondVal
2 | two | YourVal | OurVal
3 | three | NotVal | ThisVal
-------------------------------
Any advice?
Use can use MAX and Group By to achieve this
SELECT id,
name,
MAX([val1]) [val-1],
MAX([val2]) [val-2]
FROM ( SELECT tbl01.id, tbl01.name,
CASE code
WHEN 1 THEN tbl02.val
ELSE ''
END [val1],
CASE code
WHEN 2 THEN tbl02.val
ELSE ''
END [val2]
FROM tbl01
INNER JOIN tbl02 ON tbl01.id = tbl02.id
) Tbl
GROUP BY id, name
Is it the PIVOT operator (http://technet.microsoft.com/en-us/library/ms177410(v=sql.105).aspx) that you are looking for?
You've already got a few answers, but heres one using PIVOT as an alternative. The good thing is this approach is easy to scale if there are additional columns required later
-- SETUP TABLES
DECLARE #t1 TABLE (
[id] int NOT NULL PRIMARY KEY,
[name] nvarchar(50) NOT NULL
)
DECLARE #t2 TABLE(
[subId] int NOT NULL PRIMARY KEY ,
[id] int NOT NULL,
[val] nvarchar(50) NULL,
[code] int NULL
)
-- SAMPLE DATA
INSERT #t1 ( id, name )
VALUES ( 1, 'one'), (2, 'two'), (3, 'three')
INSERT #t2
( subId, id, val, code )
VALUES ( 1,1,'FirstVal', 1), ( 2,1,'SecondVal', 2)
,( 3,2,'YourVal', 1), ( 4,2,'OurVal', 2)
,( 5,3,'NotVal', 1), ( 6,3,'ThisVal', 2)
-- SELECT (using PIVOT)
SELECT id, name, [1] AS 'val-1', [2] AS 'val-2'
FROM
(
SELECT t2.id, t1.name, t2.val, t2.code
FROM #t1 AS t1 JOIN #t2 AS t2 ON t2.id = t1.id
) AS src
PIVOT
(
MIN(val)
FOR code IN ([1], [2])
) AS pvt
results:
id name val-1 val-2
---------------------------------
1 one FirstVal SecondVal
2 two YourVal OurVal
3 three NotVal ThisVal
If there are always only two values, you could join them or even easier, group them:
SELECT tbl01.id as id, Min(tbl01.name) as name, MIN(tbl02.val) as val-1, MAX(tbl02.val) as val-2
FROM tbl01
INNER JOIN tbl02 ON tbl01.id = tbl02.id
GROUP BY tbl02.id
note: this query will always put the lowest value in the first column and highest in the second, if this is not wanted: use the join query:
Join query
If you always want code 1 in the first column and code 2 in the second:
SELECT tbl01.id as id, tbl01.name as name, tbl02.val as val-1, tbl03.val as val-2
FROM tbl01
INNER JOIN tbl02 ON tbl01.id = tbl02.id
ON tbl02.code = 1
INNER JOIN tbl03 ON tbl01.id = tbl03.id
ON tbl03.code = 2
Variable amount of columns
You cannot get an variable amount of columns, only when you do this by building your query in code or t-sql stored procedures.
My advice:
If its always to values: join them in query, if not, let your server-side code transform the data. (or even better, find a way which makes it not nessecery to transform data)
Try this - it uses a pivot function but it also creates creates the dynamic columns dependent on code
DECLARE #ColumnString varchar(200)
DECLARE #sql varchar(1000)
CREATE TABLE #ColumnValue
(
Value varchar(500)
)
INSERT INTO #ColumnValue (Value)
SELECT DISTINCT '[' + 'value' + Convert(Varchar(20),ROW_NUMBER() Over(Partition by id Order by id )) + ']'
FROM Test
SELECT #ColumnString = COALESCE(#ColumnString + ',', '') + Value
FROM #ColumnValue
Drop table #ColumnValue
SET #sql =
'
SELECT *
FROM
(
SELECT
id,name,val,''value'' + Convert(Varchar(20),ROW_NUMBER() Over(Partition by id Order by id ))as [values]
FROM Test
) AS P
PIVOT
(
MAX(val) FOR [values] IN ('+#ColumnString+')
) AS pv
'
--print #sql
EXEC (#sql)
Suppose there are two tables which have the data mentioned in the insert query. There is no foreign key references between the two table.
create table uref.slave (
SLAVE_ID SMALLINT NOT NULL PRIMARY KEY,
DESC VARCHAR(20)
);
INSERT INTO uref.SLAVE values (1, null)
INSERT INTO uref.SLAVE values (2, null)
create table uref.master (
MASTER_ID SMALLINT NOT NULL PRIMARY KEY,
SLAVE_ID SMALLINT,
DESC VARCHAR(20)
);
INSERT INTO uref.MASTER values (1,1,'value1')
INSERT INTO uref.MASTER values (2,2,'value2')
Now I need a query which will copy uref.master.DESC into uref.slave.DESC based on uref.master.SLAVE_ID = uref.slave.SLAVE_ID.
The simplest solution may be to use MERGE.
MERGE INTO uref.SLAVE s
USING uref.MASTER m
ON (s.SLAVE_ID = m.SLAVE_ID)
WHEN MATCHED
THEN UPDATE SET Desc = m.Desc
It could be refined to update only when there is a change to be made
MERGE INTO uref.SLAVE s
USING uref.MASTER m
ON (s.SLAVE_ID = m.SLAVE_ID)
WHEN MATCHED
and ( s.Desc <> m.Desc
or (s.Desc is null and m.Desc is not null)
)
THEN UPDATE SET Desc = m.Desc
UPDATE uref.SLAVE t1
SET Desc =
(
SELECT t2.Desc
FROM uref.MASTER t2
WHERE t1.SLAVE_ID = t2.SLAVE_ID
)
WHERE EXISTS
(
SELECT *
FROM uref.MASTER t2
WHERE t1.SLAVE_ID = t2.SLAVE_ID
AND NOT t1.Desc=t2.Desc
)
AND t1.Desc IS NULL
if sql server, Try below sql: (recheck the table name and fields)
declare #urefSlave table (
SLAVE_ID SMALLINT ,
[DESC] VARCHAR(20)
);
INSERT INTO #urefSlave values (1, null)
INSERT INTO #urefSlave values (2, null)
Declare #urefMaster table (
MASTER_ID SMALLINT,
SLAVE_ID SMALLINT,
[DESC] VARCHAR(20)
);
INSERT INTO #urefMaster values (1,1,'value1')
INSERT INTO #urefMaster values (2,2,'value2')
select * from #urefMaster
select * from #urefSlave
update #urefSlave
set [DESC] = b.[DESC]
from #urefSlave a inner join #urefMaster b on a.SLAVE_ID = b.SLAVE_ID
select * from #urefSlave
REsult:
MASTER_ID SLAVE_ID DESC
--------- -------- --------------------
1 1 value1
2 2 value2
SLAVE_ID DESC
-------- --------------------
1 value1
2 value2
Updated
cannot help much in db2, because i don't have the tools to run the syntax
but from this link db2 update help
you can modify an example in there to meet your requirement:
UPDATE EMPLOYEE EU
SET (EU.SALARY, EU.COMM)
=
(SELECT AVG(ES.SALARY), AVG(ES.COMM)
FROM EMPLOYEE ES
WHERE ES.WORKDEPT = EU.WORKDEPT)
WHERE EU.EMPNO = '000120'
Hope this help.
I'm not sure if I'm writing the following SQL statement correctly? (Using T-SQL)
I have two tables:
Table 1: [dbo].[t_Orgnzs]
[id] = INT
[nm] = NVARCHAR(256)
Table 2: [dbo].[t_Usrs]
[id] = INT
[ds] = NVARCHAR(256)
[oid] = INT (referenced [dbo].[t_Orgnzs].[id])
I need to select elements from Table 2, ordered by the [oid] column ascending from 1 to 16, but the catch is that the [oid] references a string in the Table 1, that I actually need to return as a result.
So for say, if tables were laid out like so:
Table 1:
id nm
1 Name 1
2 Name 2
3 Name 3
4 Name 4
And Table 2:
id ds oid
1 A 2
2 B 4
3 C 1
The resulting query must return:
3 C Name 1
1 A Name 2
2 B Name 4
So here's the SQL I'm using:
WITH ctx AS (
SELECT [id],
[ds],
(SELECT [nm] FROM [dbo].[t_Orgnzs] WHERE [id]=[dbo].[t_Usrs].[oid]) AS organizName,
ROW_NUMBER() OVER (ORDER BY organizName ASC) AS rowNum
FROM [dbo].[t_Usrs]
)
SELECT [id], [ds], organizName
FROM ctx
WHERE rowNum>=1 AND rowNum<=16;
And I'm getting an error: "Invalid column name 'organizName'."
I do not understand the meaning of use ROW_NUMBER() in your case. Why?
CREATE TABLE [t_Orgnzs] ([id] int PRIMARY KEY, [nm] NVARCHAR(256))
GO
CREATE TABLE [t_Usrs] ([id] int, [ds] NVARCHAR(256), [oid] int FOREIGN KEY REFERENCES [t_Orgnzs]([id]))
GO
INSERT [t_Orgnzs] VALUES (1,'Name_1')
INSERT [t_Orgnzs] VALUES (2,'Name_2')
INSERT [t_Orgnzs] VALUES (3,'Name_3')
INSERT [t_Orgnzs] VALUES (4,'Name_4')
GO
INSERT [t_Usrs] VALUES (1,'A',2)
INSERT [t_Usrs] VALUES (2,'B',4)
INSERT [t_Usrs] VALUES (3,'C',1)
GO
SELECT *
FROM [t_Orgnzs]
INNER JOIN [t_Usrs] ON [t_Orgnzs].[id]=[t_Usrs].[oid]
ORDER BY [oid]
How about this one
select id, ds, nm
from
(
select ROW_NUMBER() OVER (ORDER BY o.nm ASC) AS rowNum, u.id, u.ds, o.nm
from t_Usrs u inner join t_Orgnzs o on (u.oid = o.id)
) t
WHERE rowNum>=1 AND rowNum<=16;
SELECT TOP 16 * FROM [t_Orgnzs]
INNER JOIN [t_Usrs]
ON [t_Orgnzs].[id] = [t_Usrs].[oid]
ORDER BY [oid]