I'm building a query and the latest step involved adding a SELECT COUNT(*) FROM [modification] sub-clause to allow me to detect the last row of the query, but it destroys the performance:
SELECT CONCAT(
IIF(row_number() OVER (ORDER BY forecastId) % 50000 = 1,
CONCAT('INSERT INTO modification (userId, epochTime, ',
'forecastId, description, auxText, auxDate) VALUES ('),
' ('),
userId, ',',
epochTime, ',',
forecastId, ',',
'''', dbo.encode4MySql(description), ''',',
'''', dbo.encode4MySql(auxText), ''',',
'''', CONVERT(VARCHAR(20), auxDate, 120), ''')',
IIF(row_number() OVER (ORDER BY forecastId) % 50000 = 0
OR row_number() OVER (ORDER BY forecastId) =
(SELECT COUNT(*) FROM modification),
'; COMMIT;', ','))
FROM modification
ORDER BY forecastId;
If you can't see what I'm doing, I'm building INSERT () VALUES (),(),(),... statements of 50000 rows at a time.
Please restrict suggestions for completely alternative approaches to the comments. I'm looking for a way to find the last row number here without it slowing the query down massively - which it does.
I'm not massively familiar with query plans but can post one here if it helps. I've tried a lot of things from related questions here, but nothing that I can get to work.
One other option would be to order by forecastId desc in the final or:
IIF(row_number() OVER (ORDER BY forecastId) % 50000 = 0
OR row_number() OVER (ORDER BY forecastId desc) = 1,
'; COMMIT;', ','))
You have a rather complicated expression, so SQL Server may not optimize it. Move the logic to the FROM clause:
FROM (SELECT m.*, COUNT(*) OVER () as num_rows
FROM modification m
) m
And then use num_rows in the rest of the query.
Assuming you don't want to change the current design, you could just add an extra UNION ALL step at the end. By looking at your query, it looks like the only purpose of changing the query is to add a COMMIT at the end.
CURRENT QUERY
UNION ALL
SELECT 'COMMIT;';
Let me know if that works for you.
***********UPDATE*********
I thought this query is easier to troubleshoot. See if it will perform any better. You would have to plugin the CTE part for your table.
SELECT BusinessEntityID,JobTitle,HireDate INTO dbo.TestTable FROM [HumanResources].[Employee]
SELECT TOP 0 BusinessEntityID,JobTitle,HireDate INTO dbo.TestTable2 FROM [HumanResources].[Employee]
SET NOCOUNT ON
WITH CTE AS (SELECT ROW_NUMBER() OVER(ORDER BY (SELECT NULL)) Col,
' (' +
CAST(BusinessEntityID AS VARCHAR(20)) +
', ''' +
JobTitle +
''', ''' +
CONVERT(VARCHAR(20), HireDate, 120) +
''')' Query
FROM TestTable
)
SELECT
CASE
WHEN COL % 50 = 0 THEN ', ' + Query + ' COMMIT;'
WHEN COL % 50 = 1 THEN ' INSERT INTO dbo.TestTable2 (BusinessEntityID, JobTitle, HireDate) VALUES ' + Query
ELSE ', ' + Query
END
FROM CTE
UNION ALL SELECT 'COMMIT;'
Related
I have a number of row base on plan and plan detail, I want to find out the same row set with other detail like plan 1 has 3 rows of data in detail table so need to find out the same rows for another plan. I have some sample data with this post may be more helpful to understand my problem. below is the Sample data Image, iwan to group by the record but not on a single row base on the full row set base on
PlanId, MinCount, MaxCount and CurrencyId
my expected data is below
I had tried to do with Some lengthy process like append all data in a single row and compare with other data, but it seems very lengthy process and takes to much time for 100 records I have an approx 20000 records in an actual database so not a good solution, please suggest me some thought
This would be trivial in MS Sql Server 2017 by using STRING_AGG.
But in 2012 one of the methods is to use the FOR XML trick.
SELECT PlanId, StairCount, MinCount, MaxCount, CurrencyId,
STUFF((
SELECT CONCAT(',', t1.AccountId)
FROM YourTable t1
WHERE t1.PlanId = t.PlanId
AND t1.StairCount = t.StairCount
AND t1.MinCount = t.MinCount
AND t1.MaxCount = t.MaxCount
AND t1.CurrencyId = t.CurrencyId
ORDER BY t1.AccountId
FOR XML PATH('')), 1, 1, '') AS AccountIdList
FROM YourTable t
GROUP BY PlanId, StairCount, MinCount, MaxCount, CurrencyId
Test here
Your desired result is rather hard to produce in SQL Server. The simplest method requires two levels of string concatenation:
with t as (
select a.account_id,
stuff( (select '[' +
convert(varchar(255), staircount) + ',' +
convert(varchar(255), mincount) + ',' +
convert(varchar(255), maxcount) + ',' +
convert(varchar(255), currencyid) +
']'
from t
where t.account_id = a.account_id
order by staircount
for xml path ('')
), 1, 1, '') as details
from (select distinct account_id from t) a
)
select d.details,
stuff( (select cast(varchar(255), account_id) + ','
from t
where t.details = d.details
for xml path ('')
), 1, 1, '') as accounts
from (select distinct details from t) d;
This isn't exactly your output, but it might be good enough for your problem.
I'm struggling to even explain what I need to do so please be patient with me.
I have the following table and rows in it:
TBNAME: Distances
Track, Person, Date, Distance
TRACK1, P1, 1/1/2014, 15
TRACK2, P1, 13/1/2014, 12
TRACK1, P1, 20/2/2014, 10
TRACK2, P1, 15/1/2014, 9
TRACK1, P2, 2/1/2014, 11
TRACK2, P2, 14/1/2014, 13
TRACK1, P2, 21/2/2014, 8
TRACK2, P2, 16/1/2014, 6
What I would, ideally, like to see as a result is something like this:
P1, TRACK1, 20/2/2014, 10, TRACK2, 15/1/2014, 9
P2, TRACK1, 21/2/2014, 8, TRACK2, 16/1/2014, 6
Or, in other words, for each person, the most recent date and distance for that date for each track in one row.
Hope someone can understand this and offer a solution too :)
Cheers,
Pierre
Try this:
SELECT T1.Person, T1.Track, MAX(T1.Date), MIN(T1.Distance),
T2.Track, MAX(T2.Date), MIN(T2.Distance)
FROM Distances AS T1 INNER JOIN
Distances AS T2 ON T1.Person = T2.Person
WHERE T1.Track <> T2.Track AND T1.Track = 'Track1'
GROUP BY T1.Track, T1.Person, T2.Track
The output result of the query is showing exactly the same of your expected result.
Try combining the table by itself and connecting them with the common column.
In your case you want Person.
Select t1.Person,
t1.Tract,
t1.Date,
t1.Distance,
t2.Tract,
t2.date,
t2.Distance
From table_name t1, table_name t2
WHERE t1.Person = t2.Person;
Try this:
SELECT DISTINCT ON ("Person", "Track") *
FROM "Table"
ORDER BY "Person", "Date" DESC NULLS LAST;
Here is a query to get the records needed. First get the maximum date per track and person. Then join with the table to get the complete record.
If you know beforehand which tracks you will get, you can use a pivot query for this. As I've never done this, I ask you to look this up yourself. However, as mentioned in my comment to your request, I would use a programming language (C#, Java, PHP or whatever) to care about that.
select d.track, d.person, d.date, d.distance
from
(
select track, person, max(distances.date) as `date`
from distances
group by track, person
) lastd
inner join distances d on d.track = lastd.track and d.person = lastd.person and d.date = lastd.date
order by d.track, d.person;
BTW: date is a reserved keyword. I would not recommend to use it for a column name. Whenever you use it without a qualifier you will have to use those strange quotes.
Look for ROW_NUMBER() and OVER PARITION BY.
Idea is something like (I did not try to run this query):
;WITH
data AS
(
SELECT
*,
-- returns number for each pair of person and track starting from most recent date
--Code enhanced at here
row_number() over (partition BY person, track order by dte DESC) nr
FROM distances
)
SELECT
*
FROM
data
WHERE
nr = 1 -- we want just the most recent one
ORDER BY
person, -- "group by" person
track ;
It's still doesn't support showing one row for each person...
I don't think you can do it with SQL (because of unknown number of tracks).
There is PIVOT/UNPIVOT, but I don't think it fits here.
WITH CTE AS
(
Select P1.Track,P1.Person,ROW_NUMBER() OVER (Partition by Person,Track Order by Date
Desc) AS RN1
,Date,Distance
from Distances P1
)Select T.Person,T.Track1,T.T1Date
,T.T1Distance,T.Track2,T.T2Date,T.T2Distance
From (
Select C1.Person,C1.Track AS 'Track1',C1.Date AS 'T1Date',
C1.Distance 'T1Distance',
C2.Track AS 'Track2',C2.Date As 'T2Date',C2.Distance 'T2Distance',
ROW_NUMBER() OVER (Partition BY C1.Person Order by C1.Date Desc) RNX
from
CTE C1
JOIN
CTE C2 ON C1.RN1=1 AND C2.RN1=1
AND C1.Person=C2.Person
AND C1.Track<>C2.Track
)t Where t.RNX=1
you may also use dynamic query to achieve your expected result :)
DECLARE #nCount INT
DECLARE #nStart INT
DECLARE #Query NVARCHAR(MAX) =' '
DECLARE #sPerson NVARCHAR(MAX)
DECLARE #sTrack NVARCHAR(MAX)
SET #nCount = (SELECT COUNT(DISTINCT(person)) FROM DISTANCES)
SET #nStart = 1
WHILE #nStart <= #nCount
BEGIN
SET #sPerson = (SELECT PERSON FROM (
SELECT PERSON, ROW_NUMBER() OVER (ORDER BY PERSON) RN FROM (
SELECT DISTINCT(PERSON) FROM DISTANCES
) T1
) T2 WHERE RN = #nStart
)
SET #Query = #Query + '
SELECT '''+#sPerson+''' + '','' + STUFF( '','' +(
SELECT TRACK + '', '' + DATE + '', '' + DISTANCE FROM (
SELECT TRACK, DATE,DISTANCE,
ROW_NUMBER() OVER (PARTITION BY TRACK ORDER BY DATE DESC) RN FROM (
SELECT TRACK,date,DISTANCE FROM DISTANCES WHERE PERSON = '''+#sPerson+'''
) T1
) T2
WHERE RN = 1 FOR XML PATH('''')
),1,1,''''
)
'
IF(#nStart != #nCount)
SET #Query = #Query + ' UNION ALL '
SET #nStart = #nStart + 1
END
EXEC SP_EXECUTESQL #Query
To have a general query it need to be dynamic
DECLARE #query AS NVARCHAR(MAX)
DECLARE #pivotCols AS NVARCHAR(MAX)
DECLARE #cols AS NVARCHAR(MAX)
SELECT #pivotCols = STUFF((SELECT DISTINCT ',' + QUOTENAME([Track])
FROM Distances
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)') , 1, 1, '')
;WITH T AS (
SELECT Track
, _ID = CAST(Row_Number() OVER (ORDER BY Track) AS VARCHAR)
FROM Distances
GROUP BY Track
)
SELECT #Cols = STUFF((
SELECT ', Track_' + _ID + ' = ''' + Track + ''''
+ ', LastRun_' + _ID + ' = ' + QUOTENAME([Track])
+ ', Distance_' + _ID + '
= SUM(CASE WHEN d.Date = ' + QUOTENAME([Track]) + '
AND d.Track = ''' + Track + '''
THEN d.Distance ELSE NULL END)'
FROM T FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)') , 1, 1, '')
SELECT #query = '
With LR AS (
SELECT Person, ' + #pivotCols + '
FROM (SELECT Track, Person, [Date] FROM Distances) d
PIVOT (MAX([Date]) FOR Track IN (' + #pivotCols + ')) pvt
)
SELECT d.Person, ' + #Cols + '
FROM Distances d
INNER JOIN LR ON d.Person = LR.Person AND d.Date IN (' + #pivotCols + ')
GROUP BY d.Person, ' + #pivotCols + ''
execute(#query);
SQLFiddle demo
The first query generate the list of field for the PIVOT.
The second one generate the fields for the compound query.
The PIVOT is used to get, for every person, the last run on every track, that is than joined back to the base data to get the distance
I have a select statement that uses QUOTNAME to add single quotes and a comma to each of the results.
SELECT QUOTENAME(field1,'''')+',' AS [1]
Which changes the results from this.
1
11111
22222
33333
44444
To this
1
'11111',
'22222',
'33333',
'44444',
However I would like to know if it is possible to remove the comma from the very last row? Too look like this.
1
'11111',
'22222',
'33333',
'44444'
edit: I should have mentioned this is a View
SELECT QUOTENAME(field1,'''')+
case when row_number() over(order by (select 1))=
count(*) over () then '' else ',' end AS [1]
FROM <table>
Try something like this
DECLARE #count int
SELECT #count = COUNT(*) FROM my_table
SELECT QUOTENAME(field1, '''') + CASE WHEN ROW_NUMBER() OVER (ORDER BY field1) < #count THEN ',' ELSE '' END AS [1]
FROM my_table
I'd like to say that SQL is the wrong place to be formatting your data and that it should be done in your application or client.
But as you've asked it is possible and this is one way of doing it:
WITH
MyData AS (
SELECT
field1,
ROW_NUMBER() OVER(ORDER BY field1 DESC) AS rowNo
FROM Data
)
SELECT
CONCAT(
QUOTENAME( field1, '''' ),
(CASE WHEN rowNo <> 1 THEN ',' END)
) AS [1]
FROM MyData
ORDER BY rowNo DESC;
SQL Fiddle
declare #lkaklf as varchar(Max)
Select ss.Data from SplitString('14,72', ',') as ss
Select #lkaklf = CONVERT(varchar, COALESCE( + #lkaklf + ',', '') + '''' + Data + '''') From
(
Select Data from SplitString('14,72', ',')
)de
select #lkaklf
print #lkaklf
Select * from LPO Where CONVERT(varchar, LPO.LocalPurchaseOrderId) in (#lkaklf)
#lkalf value is Printing in message but not coming into select query... Why ?
You cannot do what you want. I would recommend that you skip over the splitting part of the query and just do:
where ','+#lkaklf+',' like ','+cast(LPO.LocalPurchaseOrderId as varchar(255))+',%'
That is, just use string comparisons.
If you really want to use SplitString(), then put the results in a temporary table:
insert into #t
select data from splitstring('14,72', ',')
And then use a subquery:
where cast(#lkalklf as varchar(255)) in (select data from #t)
Maybe I demand too much from SQL but I feel like this should be possible. I start with a list of key-value pairs, like this:
'0:First, 1:Second, 2:Third, 3:Fourth'
etc. I can split this up pretty easily with a two-step parse that gets me a table like:
EntryNumber PairNumber Item
0 0 0
1 0 First
2 1 1
3 1 Second
etc.
Now, in the simple case of splitting the pairs into a pair of columns, it's fairly easy. I'm interested in the more advanced case where I might have multiple values per entry, like:
'0:First:Fishing, 1:Second:Camping, 2:Third:Hiking'
and such.
In that generic case, I'd like to find a way to take my 3-column result table and somehow pivot it to have one row per entry and one column per value-part.
So I want to turn this:
EntryNumber PairNumber Item
0 0 0
1 0 First
2 0 Fishing
3 1 1
4 1 Second
5 1 Camping
Into this:
Entry [1] [2] [3]
0 0 First Fishing
1 1 Second Camping
Is that just too much for SQL to handle, or is there a way? Pivots (even tricky dynamic pivots) seem like an answer, but I can't figure how to get that to work.
No, in SQL you can't infer columns dynamically based on the data found during the same query.
Even using the PIVOT feature in Microsoft SQL Server, you must know the columns when you write the query, and you have to hard-code them.
You have to do a lot of work to avoid storing the data in a relational normal form.
Alright, I found a way to accomplish what I was after. Strap in, this is going to get bumpy.
So the basic problem is to take a string with two kinds of delimiters: entries and values. Each entry represents a set of values, and I wanted to turn the string into a table with one column for each value per entry. I tried to make this a UDF, but the necessity for a temporary table and dynamic SQL meant it had to be a stored procedure.
CREATE PROCEDURE [dbo].[ParseValueList]
(
#parseString varchar(8000),
#itemDelimiter CHAR(1),
#valueDelimiter CHAR(1)
)
AS
BEGIN
SET NOCOUNT ON;
IF object_id('tempdb..#ParsedValues') IS NOT NULL
BEGIN
DROP TABLE #ParsedValues
END
CREATE TABLE #ParsedValues
(
EntryID int,
[Rank] int,
Pair varchar(200)
)
So that's just basic set up, establishing the temp table to hold my intermediate results.
;WITH
E1(N) AS (SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL
SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL
SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1),--Brute forces 10 rows
E2(N) AS (SELECT 1 FROM E1 a, E1 b), --Uses a cross join to generate 100 rows (10 * 10)
E4(N) AS (SELECT 1 FROM E2 a, E2 b), --Uses a cross join to generate 10,000 rows (100 * 100)
cteTally(N) AS (SELECT ROW_NUMBER() OVER (ORDER BY N) FROM E4)
That beautiful piece of SQL comes from SQL Server Central's Forums and is credited to "a guru." It's a great little 10,000 line tally table perfect for string splitting.
INSERT INTO #ParsedValues
SELECT ItemNumber AS EntryID, ROW_NUMBER() OVER (PARTITION BY ItemNumber ORDER BY ItemNumber) AS [Rank],
SUBSTRING(Items.Item, T1.N, CHARINDEX(#valueDelimiter, Items.Item + #valueDelimiter, T1.N) - T1.N) AS [Value]
FROM(
SELECT ROW_NUMBER() OVER (ORDER BY T2.N) AS ItemNumber,
SUBSTRING(#parseString, T2.N, CHARINDEX(#itemDelimiter, #parseString + #itemDelimiter, T2.N) - T2.N) AS Item
FROM cteTally T2
WHERE T2.N < LEN(#parseString) + 2 --Ensures we cut out once the entire string is done
AND SUBSTRING(#itemDelimiter + #parseString, T2.N, 1) = #itemDelimiter
) AS Items, cteTally T1
WHERE T1.N < LEN(#parseString) + 2 --Ensures we cut out once the entire string is done
AND SUBSTRING(#valueDelimiter + Items.Item, T1.N, 1) = #valueDelimiter
Ok, this is the first really dense meaty part. The inner select is breaking up my string along the item delimiter (the comma), using the guru's string splitting method. Then that table is passed up to the outer select which does the same thing, but this time using the value delimiter (the colon) to each row. The inner RowNumber (EntryID) and the outer RowNumber over Partition (Rank) are key to the pivot. EntryID show which Item the values belong to, and Rank shows the ordinal of the values.
DECLARE #columns varchar(200)
DECLARE #columnNames varchar(2000)
DECLARE #query varchar(8000)
SELECT #columns = COALESCE(#columns + ',[' + CAST([Rank] AS varchar) + ']', '[' + CAST([Rank] AS varchar)+ ']'),
#columnNames = COALESCE(#columnNames + ',[' + CAST([Rank] AS varchar) + '] AS Value' + CAST([Rank] AS varchar)
, '[' + CAST([Rank] AS varchar)+ '] AS Value' + CAST([Rank] AS varchar))
FROM (SELECT DISTINCT [Rank] FROM #ParsedValues) AS Ranks
SET #query = '
SELECT '+ #columnNames +'
FROM #ParsedValues
PIVOT
(
MAX([Value]) FOR [Rank]
IN (' + #columns + ')
) AS pvt'
EXECUTE(#query)
DROP TABLE #ParsedValues
END
And at last, the dynamic sql that makes it possible. By getting a list of Distinct Ranks, we set up our column list. This is then written into the dynamic pivot which tilts the values over and slots each value into the proper column, each with a generic "Value#" heading.
Thus by calling EXEC ParseValueList with a properly formatted string of values, we can break it up into a table to feed into our purposes! It works (but is probably overkill) for simple key:value pairs, and scales up to a fair number of columns (About 50 at most, I think, but that'd be really silly.)
Anyway, hope that helps anyone having a similar issue.
(Yeah, it probably could have been done in something like SQLCLR as well, but I find a great joy in solving problems with pure SQL.)
Though probably not optimal, here's a more condensed solution.
DECLARE #DATA varchar(max);
SET #DATA = '0:First:Fishing, 1:Second:Camping, 2:Third:Hiking';
SELECT
DENSE_RANK() OVER (ORDER BY [Data].[row]) AS [Entry]
, [Data].[row].value('(./B/text())[1]', 'int') as "[1]"
, [Data].[row].value('(./B/text())[2]', 'varchar(64)') as "[2]"
, [Data].[row].value('(./B/text())[3]', 'varchar(64)') as "[3]"
FROM
(
SELECT
CONVERT(XML, '<A><B>' + REPLACE(REPLACE(#DATA , ',', '</B></A><A><B>'), ':', '</B><B>') + '</B></A>').query('.')
) AS [T]([c])
CROSS APPLY [T].[c].nodes('/A') AS [Data]([row]);
Hope is not too late.
You can use the function RANK to know the position of each Item per PairNumber. And then use Pivot
SELECT PairNumber, [1] ,[2] ,[3]
FROM
(
SELECT PairNumber, Item, RANK() OVER (PARTITION BY PairNumber order by EntryNumber) as RANKing
from tabla) T
PIVOT
(MAX(Item)
FOR RANKing in ([1],[2],[3])
)as PVT