I need to get ID by joining columns of tables with variable length.
Table A has 2 columns ID and PostCode
-----------------
| ID | PostCode |
|----|----------|
| 1 | BR |
|----|----------|
| 2 | WT |
|----|----------|
| 3 | B71 |
|----|----------|
| 4 | BR5 |
|----|----------|
Table B has columns with Name and Full postcode
|------|----------|
| Name | PostCode |
|------|----------|
| Mr X | CR2 5ER |
|------|----------|
| Ms Y | BT2 6ER |
|------|----------|
| XX | B71 4WQ |
|------|----------|
| YY | BR4 8ER |
|------|----------|
| SS | BR5A 5RT |
|------|----------|
I need to get Id's 1 [BR->BR4 8ER], 3 [B71->B71 4WQ] and 4 [BR5->BR5A 5RT]
How do I get to work this?
select A.PostCode, B.PostCode as FullPostCode, B.Name
from A
join B
on substring(B.PostCode,0,len(A.PostCode)) = A.PostCode
Consider the postcode BR29 8LN. If table A has codes B and BR, this postcode will be captured TWICE - not what the OP would want, and not what I wanted.
The below captures everything so long as after the postcode prefix, there is a number thus delimiting the postcode area:
select A.PostCode, B.PostCode as FullPostCode, B.Name
from B
inner join A
on substring(B.PostCode ,0,len(A.PostCode)+1) = A.PostCode
WHERE IsNumeric(substring(B.PostCode ,len(A.PostCode)+1,1)) = 1
This may help.
DECLARE #TableA TABLE (UserID INT,
PostCode VARCHAR(10))
DECLARE #TableB TABLE (Name VARCHAR(10),
PostCode VARCHAR(10))
INSERT INTO #TableA
VALUES
('1', 'BR'),
('2', 'WT'),
('3', 'B71'),
('4', 'BR5')
INSERT INTO #TableB
VALUES
('Mr X', 'CR2 5ER'),
('Ms Y', 'BT2 6ER'),
('XX', 'B71 4WQ'),
('YY', 'BR4 8ER'),
('SS', 'BR5A 5RT');
WITH CTE
AS (
SELECT CAST(UserID AS VARCHAR(10)) AS UserID,
Name,
tb.PostCode,
ta.PostCode AS PostCode2
,
ROW_NUMBER() OVER (PARTITION BY UserID ORDER BY tb.PostCode DESC) AS PcID
FROM #TableA AS ta
JOIN #TableB AS tb
ON ta.PostCode = LEFT(tb.PostCode, LEN(ta.PostCode))
)
, cte2
AS (
SELECT STUFF((SELECT ', ' + c2.UserID + ' [' + c2.PostCode2 + '-' + c2.PostCode + ']'
FROM cte AS c2
WHERE c1.UserID = c2.UserID
AND PcID = 1
FOR XML PATH('')), 1, 2, '') AS PostCodeMatch
FROM cte AS c1
WHERE PcID = 1
)
SELECT DISTINCT STUFF((SELECT ', ' + PostCodeMatch
FROM cte2 AS c2
FOR XML PATH('')), 1, 2, '') AS PostCodeMatch
FROM cte2
You might do something like this:
select A.PostCode, B.PostCode as FullPostCode, B.Name
from A
join B on B.PostCode like A.PostCode + '%'
Related
I have two tables, where I would like to update table_2 if the column's value is same and then applying inner join with table1. I would like to do in one execution.
Here I habe table1 and table2, where item_2 of table2 has same value with status = 0. Here I would like to update one of the status with 9.
table1
#|ID| ITEM_1 |Application
-+--+----------+------
1|1| item1 | read
2|2| item1 | write
3|3| item1 | learn
table2
#|ID| ITEM_2 |Description |STATUS
-+--+---------+---------------------
1|10| item1 | des1 | 0
2|11| item1 | des2 | 0
3|12| item1 | des3 | 2
For updating table2, I used lag() function and then inner join with table1.
But here I need to execute two times, first for update and then second for inner join. But I am looking to execute in one time.
update
UPDATE
(
SELECT
T2.*
, lag(ITEM_2, 1, 0) over (order by ITEM_2 ASC) as C2
FROM TABLE_2 T2 where T2.STATUS = 0
)
SET STATUS = 9
WHERE C2 = ITEM_2;
#|ID| ITEM_2 |Description |STATUS
-+--+---------+---------------------
1|10| item1 | des1 | 0
2|11| item1 | des2 | 9
3|12| item1 | des3 | 2
inner join
select T1.ID, T1.ITEM_1, T1.Appliction, T2.ID, T2.ITEM_2, T2.Description, T2.STATUS
from TABLE_1 T1
INNER JOIN TABLE_2 T2 ON T1.ITEM_1 = T2.ITEM_2
where T2.STATUS = 0
ID | ITEM_1 | APPLICTION | ID | ITEM_2 | DESCRIPTION | STATUS
1 | item1 | read | 10 | item1 | des1 | 0
WITH U AS
(SELECT COUNT (1) AS DUMMY FROM NEW TABLE
(UPDATE TABLE_2 A SET STATUS = 9 WHERE EXISTS
(SELECT 1 FROM TABLE_2 B WHERE A.ITEM_2 = B.ITEM_2 AND A.ID > B.ID AND B.STATUS = 0
)))
select T1.ID, T1.ITEM_1, T1.Appliction, T2.ID, T2.ITEM_2, T2.Description, T2.STATUS
from TABLE_1 T1
Inner join TABLE_2 T2 ON T1.ITEM_1 = T2.ITEM_2
where T2.STATUS = 0`
fiddle
I want to select certain elements from an array column. I know you can do it by position, but I want to filter on content. Here's my data:
table_name | column_names
---------------------+---------------------------------------------------------------
attribute_definition | {attribute_type_concept_id}
cohort_definition | {definition_type_concept_id,subject_concept_id}
condition_occurrence | {condition_concept_id,condition_source_concept_id,condition_type_concept_id}
death | {cause_concept_id,cause_source_concept_id,death_impute_concept_id,death_type_concept_id}
device_exposure | {device_concept_id,device_source_concept_id,device_type_concept_id}
drug_exposure | {dose_unit_concept_id,drug_concept_id,drug_source_concept_id,drug_type_concept_id,route_concept_id}
What I would like to say is something like:
SELECT table_name,
array_agg(SELECT colname FROM column_names WHERE colname LIKE '%type%') AS type_cols,
array_agg(SELECT colname FROM column_names WHERE colname NOT LIKE '%type%') AS other_cols
FROM mytable
GROUP BY table_name
And the result I would like would be:
table_name | type_cols | other_cols
----------------------+--------------------------------------------------------------------------------------------------------------
attribute_definition | {attribute_type_concept_id} | {}
cohort_definition | {definition_type_concept_id} | {subject_concept_id}
condition_occurrence | {condition_type_concept_id} | {condition_concept_id,condition_source_concept_id}
death | {death_type_concept_id} | {cause_concept_id,cause_source_concept_id,death_impute_concept_id}
device_exposure | {device_type_concept_id} | {device_concept_id,device_source_concept_id}
drug_exposure | {drug_type_concept_id} | {dose_unit_concept_id,drug_concept_id,drug_source_concept_id,route_concept_id}
So, I want to end up with the same number of rows but different columns. There's gotta be a simple way to do this. Why can't I find it?
unnest is your friend. As in:
SELECT table_name,
array(SELECT colname FROM unnest(column_names) AS colname WHERE colname LIKE '%type%') AS type_cols,
array(SELECT colname FROM unnest(column_names) AS colname WHERE colname NOT LIKE '%type%') AS other_cols
FROM mytable
GROUP BY table_name, column_names
Here is Dan Getz's answer again but in a self-contained statement so it's easily runnable without copying my data.
with grps as
(
with numlist as
(
select '1 - 10' as grp, generate_series(1,10) num
union
select '11 - 20', generate_series(11,20) order by 1,2
)
select grp, array_agg(num) as nums
from numlist
group by 1
)
select grp,
(select array_agg(evens) from unnest(nums) as evens where evens % 2 = 0) as evens,
(select array_agg(odds) from unnest(nums) as odds where odds % 2 != 0) as odds
from grps
group by grp, nums;
grp | evens | odds
---------+------------------+------------------
11 - 20 | {12,14,16,18,20} | {11,13,15,17,19}
1 - 10 | {2,4,6,8,10} | {1,3,5,7,9}
I have a table named Stores with columns:
StoreCode NVARCHAR(10),
OldStoreCode NVARCHAR(10)
Here is a sample of my data:
| StoreCode | OldStoreCode |
|-----------|--------------|
| A | B |
| B | A |
| D | E |
| E | F |
| M | K |
| J | K |
| K | L |
|-----------|--------------|
I want to create clusters of related Stores. Related store means there is a one way relation between StoreCodes and OldStoreCodes.
Expected result table:
| StoreCode | ClusterId |
|-----------|-----------|
| A | 1 |
| B | 1 |
| D | 2 |
| E | 2 |
| F | 2 |
| M | 3 |
| K | 3 |
| J | 3 |
| L | 3 |
|-----------|-----------|
There is no maximum number hops. There may be a StoreCode A which has a OldStoreCode B, which has a OldStoreCode C, which has a OldStoreCode D etc.
How can I cluster stores like this?
Try it like this:
EDIT: With changes by OP taken from comment
DECLARE #tbl TABLE(ID INT IDENTITY, StoreCode VARCHAR(100),OldStoreCode VARCHAR(100));
INSERT INTO #tbl VALUES
('A','B'),('B','A'),('D','E'),('E','F'),('M','K'),('J','K'),('K','L');
WITH Related AS
(
SELECT DISTINCT t1.ID,Val
FROM #tbl AS t1
INNER JOIN #tbl AS t2 ON t1.StoreCode=t2.StoreCode
OR t1.OldStoreCode=t2.OldStoreCode
OR t1.OldStoreCode=t2.StoreCode
OR t1.StoreCode=t2.OldStoreCode
CROSS APPLY(SELECT DISTINCT Val
FROM
(VALUES(t1.StoreCode),(t2.StoreCode),(t1.OldStoreCode),(t2.OldStoreCode)) AS A(Val)
) AS valsInCols
)
,ClusterKeys AS
(
SELECT r1.ID
,(
SELECT r2.Val AS [*]
FROM Related AS r2
WHERE r2.ID=r1.ID
ORDER BY r2.Val
FOR XML PATH('')
) AS ClusterKey
FROM Related AS r1
GROUP BY r1.ID
)
,ClusterIds AS
(
SELECT ClusterKey
,MIN(ID) AS ID
FROM ClusterKeys
GROUP BY ClusterKey
)
SELECT r.ID
,r.Val
FROM ClusterIds c
INNER JOIN Related r ON c.ID = r.ID
The result
ID Val
1 A
1 B
3 D
3 E
3 F
5 J
5 K
5 L
5 M
This should do it:
SAMPLE DATA:
IF OBJECT_ID('tempdb..#Temp1') IS NOT NULL
BEGIN
DROP TABLE #Temp1;
END;
CREATE TABLE #Temp1(StoreCode NVARCHAR(10)
, OldStoreCode NVARCHAR(10));
INSERT INTO #Temp1(StoreCode
, OldStoreCode)
VALUES
('A'
, 'B'),
('B'
, 'A'),
('D'
, 'E'),
('E'
, 'F'),
('M'
, 'K'),
('J'
, 'K'),
('K'
, 'L');
QUERY:
;WITH A -- get all distinct new and old storecodes
AS (
SELECT StoreCode
FROM #Temp1
UNION
SELECT OldStoreCode
FROM #Temp1),
B -- give a unique number id to each store code
AS (SELECT rn = RANK() OVER(ORDER BY StoreCode)
, StoreCode
FROM A),
C -- combine the store codes and the unique number id's in one table
AS (SELECT b2.rn AS StoreCodeID
, t.StoreCode
, b1.rn AS OldStoreCodeId
, t.OldStoreCode
FROM #Temp1 AS t
LEFT OUTER JOIN B AS b1 ON t.OldStoreCode = b1.StoreCode
LEFT OUTER JOIN B AS b2 ON t.StoreCode = b2.StoreCode),
D -- assign a row number for each entry in the data set
AS (SELECT rn = RANK() OVER(ORDER BY StoreCode)
, *
FROM C),
E -- derive first and last store in the path
AS (SELECT FirstStore = d2.StoreCode
, LastStore = d1.OldStoreCode
, GroupID = d1.OldStoreCodeId
FROM D AS d1
RIGHT OUTER JOIN D AS d2 ON d1.StoreCodeID = d2.OldStoreCodeId
AND d1.rn - 1 = d2.rn
WHERE d1.OldStoreCode IS NOT NULL) ,
F -- get the stores wich led to the last store with one hop
AS (SELECT C.StoreCode
, E.GroupID
FROM E
INNER JOIN C ON E.LastStore = C.OldStoreCode)
-- combine to get the full grouping
SELECT A.StoreCode, ClusterID = DENSE_RANK() OVER (ORDER BY A.GroupID) FROM (
SELECT C.StoreCode,F.GroupID FROM C INNER JOIN F ON C.OldStoreCode = F.StoreCode
UNION
SELECT * FROM F
UNION
SELECT E.LastStore,E.GroupID FROM E) AS A ORDER BY StoreCode, ClusterID
RESULTS:
I have a pivot table creating 2 columns for each line that I would like to go in date order.
Below is the data in the raw format
-------------------------------------------------------------
partnum | period | TotalQty | ToldSold
005483-6 | 2015-08 | 100.00000000 | 389.379000
0551105 | 2015-08 | 10.00000000 | 4560.773000
0CT202305 | 2015-09 | 4.00000000 | 2285.430800
0CTR00905 | 2015-10 | 2.00000000 | 654.305400
183386-32 | 2016-01 | 20.00000000 | 75.060400
24-175UV50| 2016-03 | 450.00000000 | 42.723000
I have the following code to generate the dynamic pivot table
DECLARE #cols AS NVARCHAR(MAX),
#colsName AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT distinct ',' + QUOTENAME(period +'_'+c.col)
from #orderhistory
cross apply
(
select 'TotalQty' col
union all
select 'ToldSold'
) c
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
select #cols
select #colsName
= STUFF((SELECT distinct ', ' + QUOTENAME(period +'_'+c.col)
+' as ['
+ period + case when c.col = 'TotalQty' then ' QtySold]' else 'Total $ Sold]' end
from #orderhistory
cross apply
(
select 'TotalQty' col
union all
select 'ToldSold'
) c
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
select #colsName
set #query
= 'SELECT partnum, ' + #colsName + '
from
(
select
partnum,
period +''_''+col col,
value
from
(
select partnum,
period,
cast(TotalQty as numeric(10, 2)) TotalQty,
cast(ToldSold as numeric(10, 2)) ToldSold
from #orderhistory
) src
unpivot
(
value
for col in (TotalQty, ToldSold)
) unpiv
) s
pivot
(
sum(value)
for col in (' + #cols + ')
) p
order by partnum'
execute(#query)
It creates data like the following
partnum 2016-02 QtySold 2015-08Total $ Sold 2015-11Total $ Sold 2015-12 QtySold
005483-10 NULL NULL NULL 100.00
005483-12 NULL NULL 1249.68 450.00
005483-14 NULL NULL NULL 70.00
005483-2 NULL NULL 1234.19 350.00
005483-3 10.00 NULL NULL NULL
What I would like to see is the headers go across in date order
partnum | 2015-08 QtySold | 2015-08 Total $ Sold | 2015-09 QtySold | 2015-09 Total $ Sold........
All the way across until I get to my current month.
I think I need to add an order by somewhere, I just don't know where. This is my first multiple column dynamic pivot table so I'm a little lost. Everywhere i have tried has given me some sort of error.
Any help is greatly appreciated!!
you would order your #colNames data..
SELECT #colsName = STUFF((
SELECT DISTINCT
', '
+ QUOTENAME(period + '_' + c.col)
+ ' as ['
+ period
+ CASE WHEN c.col = 'TotalQty' THEN ' QtySold]' ELSE 'Total $ Sold]' END
FROM #orderhistory
CROSS APPLY (SELECT 'TotalQty' col UNION ALL SELECT 'ToldSold') c
--ORDER BY HERE
ORDER BY period, c.col
FOR XML PATH(''), TYPE
).value('.','NVARCHAR(MAX)'),1,1,'')
I am trying to create a query that will select a DISTINCT line, select using a revision Minor / Major scheme. Below is an example table:
Serial Number | RevMajor | RevMinor
-----------------------------------
AQ155 | 1 | 1
AQ155 | 1 | 2
AQ155 | 1 | 1
AQ155 | 1 | 7
AQ155 | 2 | 1 <---------
JR2709 | 1 | 7
JR2709 | 2 | 2 <---------
How can I write a query in T-SQL 2008 that will select only the two highlighted lines, the "Newest Revision"?
Thanks in advance!
You could
select * from (
select *, row_number() over (partition by [Serial Number] order by RevMajor desc, RevMinor desc) VersionRank
from table
) T
where VersionRank = 1
select [serial number], revmajor, revminor
from table1
where revMajor = (select max(revmajor) from table1)
another way to do this could be:
select [serial number], revmajor, revminor
from table1 a
inner join ( select max(revMajor) from table1 ) b on a.revmajor = b.revmajor
Another way if you know there are only 2 rows:
select top 2 [serial number], revmajor, revminor
from table1 a
order by revmajor desc, revminor desc