Delete Duplicate Records with Same Values - sql

I have a TSQL statement that is taking several hours to run. I'm sure I need to look into the import process to avoid duplicates being inserted but for the time being I'd just like to remove all records except one with duplicate values. ParameterValueId is the primary key on the table but I have many duplicate entries that need to be deleted. I only need one record for each ParameterId, SiteId, MeasurementDateTime, and ParameterValue. Below is my current method for deleting duplicate records. It finds all values that have a count > 1. It then finds the first Id with those values and deletes all of the records with those values that don't match the first ID found by those values. Besides the print statements is there a more efficient way of doing this. Can I do a way with the cursor at all to improve performance?
BEGIN TRANSACTION
SET NOCOUNT ON
DECLARE #BeginningRecordCount INT
SET #BeginningRecordCount =
(
SELECT COUNT(*)
FROM ParameterValues
)
DECLARE #ParameterId UNIQUEIDENTIFIER
DECLARE #SiteId UNIQUEIDENTIFIER
DECLARE #MeasurementDateTime DATETIME
DECLARE #ParameterValue FLOAT
DECLARE CDuplicateValues CURSOR FOR
SELECT
[ParameterId]
,[SiteId]
,[MeasurementDateTime]
,[ParameterValue]
FROM [ParameterValues]
GROUP BY
[ParameterId]
,[SiteId]
,[MeasurementDateTime]
,[ParameterValue]
HAVING COUNT(*) > 1
OPEN CDuplicateValues
FETCH NEXT FROM CDuplicateValues INTO
#ParameterId
,#SiteId
,#MeasurementDateTime
,#ParameterValue
DECLARE #FirstParameterValueId UNIQUEIDENTIFIER
DECLARE #DuplicateRecordsDeleting INT
WHILE ##FETCH_STATUS <> -1
BEGIN
SET #FirstParameterValueId =
(
SELECT TOP 1 ParameterValueId
FROM ParameterValues
WHERE
ParameterId = #ParameterId
AND SiteId = #SiteId
AND MeasurementDateTime = #MeasurementDateTime
AND ParameterValue = #ParameterValue
)
SET #DuplicateRecordsDeleting =
(
SELECT COUNT(*)
FROM ParameterValues
WHERE
ParameterId = #ParameterId
AND SiteId = #SiteId
AND MeasurementDateTime = #MeasurementDateTime
AND ParameterValue = #ParameterValue
AND ParameterValueId <> #FirstParameterValueId
)
PRINT 'DELETING ' + CAST(#DuplicateRecordsDeleting AS NVARCHAR(50))
+ ' records with values ParameterId : ' + CAST(#ParameterId AS NVARCHAR(50))
+ ', SiteId : ' + CAST (#SiteId AS NVARCHAR(50))
+ ', MeasurementDateTime : ' + CAST(#MeasurementDateTime AS NVARCHAR(50))
+ ', ParameterValue : ' + CAST(#ParameterValue AS NVARCHAR(50))
DELETE FROM ParameterValues
WHERE
ParameterId = #ParameterId
AND SiteId = #SiteId
AND MeasurementDateTime = #MeasurementDateTime
AND ParameterValue = #ParameterValue
AND ParameterValueId <> #FirstParameterValueId
FETCH NEXT FROM CDuplicateValues INTO
#ParameterId
,#SiteId
,#MeasurementDateTime
,#ParameterValue
END
CLOSE CDuplicateValues
DEALLOCATE CDuplicateValues
DECLARE #EndingRecordCount INT
SET #EndingRecordCount =
(
SELECT COUNT(*)
FROM ParameterValues
)
PRINT 'Beginning Record Count : ' + CAST(#BeginningRecordCount AS NVARCHAR(50))
PRINT 'Ending Record Count : ' + CAST(#EndingRecordCount AS NVARCHAR(50))
PRINT 'Total Records Deleted : ' + CAST((#BeginningRecordCount - #EndingRecordCount) AS NVARCHAR(50))
SET NOCOUNT OFF
PRINT 'RUN THE COMMIT OR ROLLBACK STATEMENT AFTER VERIFYING DATA.'
--COMMIT
--ROLLBACK

Use option with CTE and OVER clause. OUTPUT.. INTO clause saves the information from rows affected by an DELETE statement into #delParameterValues table. Further, in the body of procedure, you can use this table to print the affected rows.
DECLARE #delParameterValues TABLE
(
ParameterId UNIQUEIDENTIFIER,
SiteId UNIQUEIDENTIFIER,
MeasurementDateTime DATETIME,
ParameterValue FLOAT,
DeletedRecordCount int
)
;WITH cte AS
(
SELECT *, ROW_NUMBER() OVER (PARTITION BY [ParameterId],[SiteId],[MeasurementDateTime],[ParameterValue] ORDER BY 1/0) AS rn,
COUNT(*) OVER (PARTITION BY [ParameterId],[SiteId],[MeasurementDateTime],[ParameterValue]) AS cnt
FROM [ParameterValues]
)
DELETE cte
OUTPUT DELETED.[ParameterId],
DELETED.[SiteId],
DELETED.[MeasurementDateTime],
DELETED.[ParameterValue],
DELETED.cnt INTO #delParameterValues
WHERE rn != 1
SELECT DISTINCT *
FROM #delParameterValues
Demo on SQLFiddle

you can do it in a single sql:
DELETE p FROM ParameterValues p
LEFT JOIN
(SELECT ParameterId, SiteId, MeasurementDateTime, ParameterValue, MAX(ParameterValueId) AS MAX_PARAM
FROM ParameterValues
GROUP BY ParameterId, SiteId, MeasurementDateTime, ParameterValue
) m
ON m.ParameterId = p.ParameterId
AND m.SiteId = p.SiteId
AND m.MeasurementDateTime = p.MeasurementDateTime
AND m.ParameterValue = p.ParameterValue
AND m.MAX_PARAM = p.ParameterValueId
WHERE m.ParameterId IS NULL
Of course it will not print the output, but you can still print the rows before and after

Related

SQL Loop through tables and columns to find which columns are NOT empty

I created a temp table #test containing 3 fields: ColumnName, TableName, and Id.
I would like to see which rows in the #test table (columns in their respective tables) are not empty? I.e., for every column name that i have in the ColumnName field, and for the corresponding table found in the TableName field, i would like to see whether the column is empty or not. Tried some things (see below) but didn't get anywhere. Help, please.
declare #LoopCounter INT = 1, #maxloopcounter int, #test varchar(100),
#test2 varchar(100), #check int
set #maxloopcounter = (select count(TableName) from #test)
while #LoopCounter <= #maxloopcounter
begin
DECLARE #PropIDs TABLE (tablename varchar(max), id int )
Insert into #PropIDs (tablename, id)
SELECT [tableName], id FROM #test
where id = #LoopCounter
set #test2 = (select columnname from #test where id = #LoopCounter)
declare #sss varchar(max)
set #sss = (select tablename from #PropIDs where id = #LoopCounter)
set #check = (select count(#test2)
from (select tablename
from #PropIDs
where id = #LoopCounter) A
)
print #test2
print #sss
print #check
set #LoopCounter = #LoopCounter + 1
end
In order to use variables as column names and table names in your #Check= query, you will need to use Dynamic SQL.
There is most likely a better way to do this but I cant think of one off hand. Here is what I would do.
Use the select and declare a cursor rather than a while loop as you have it. That way you dont have to count on sequential id's. The cursor would fetch fields columnname, id and tablename
In the loop build a dynamic sql statement
Set #Sql = 'Select Count(*) Cnt Into #Temp2 From ' + TableName + ' Where ' + #columnname + ' Is not null And ' + #columnname <> '''''
Exec(#Sql)
Then check #Temp2 for a value greater than 0 and if this is what you desire you can use the #id that was fetched to update your #Temp table. Putting the result into a scalar variable rather than a temp table would be preferred but cant remember the best way to do that and using a temp table allows you to use an update join so it would well in my opinion.
https://www.mssqltips.com/sqlservertip/1599/sql-server-cursor-example/
http://www.sommarskog.se/dynamic_sql.html
Found a way to extract all non-empty tables from the schema, then just joined with the initial temp table that I had created.
select A.tablename, B.[row_count]
from (select * from #test) A
left join
(SELECT r.table_name, r.row_count, r.[object_id]
FROM sys.tables t
INNER JOIN (
SELECT OBJECT_NAME(s.[object_id]) table_name, SUM(s.row_count) row_count, s.[object_id]
FROM sys.dm_db_partition_stats s
WHERE s.index_id in (0,1)
GROUP BY s.[object_id]
) r on t.[object_id] = r.[object_id]
WHERE r.row_count > 0 ) B
on A.[TableName] = B.[table_name]
WHERE ROW_COUNT > 0
order by b.row_count desc
How about this one - bitmask computed column checks for NULLability. Value in the bitmask tells you if a column is NULL or not. Counting base 2.
CREATE TABLE FindNullComputedMask
(ID int
,val int
,valstr varchar(3)
,NotEmpty as
CASE WHEN ID IS NULL THEN 0 ELSE 1 END
|
CASE WHEN val IS NULL THEN 0 ELSE 2 END
|
CASE WHEN valstr IS NULL THEN 0 ELSE 4 END
)
INSERT FindNullComputedMask
SELECT 1,1,NULL
INSERT FindNullComputedMask
SELECT NULL,2,NULL
INSERT FindNullComputedMask
SELECT 2,NULL, NULL
INSERT FindNullComputedMask
SELECT 3,3,3
SELECT *
FROM FindNullComputedMask

What is best way to fetch related rows in each table of dataset in sql

Suppose I have 2 tables
1. Artical(ID,Description,PubDate)
2. ArticalMedia(ID,ArticalID,MediaURL)
Now I want to fetch 2 tables within stored procedure.
Table1: Top 5 Latest news
Table2: All Media's of Top 5 news selected in Table1
I know we can achieve this using #Temp tables. I this only & best way? Or do we have any other method to achieve same thing?
Simple 2 select statements might lead to wrong data, plesae see following example:
select top 5 * from Artical order by PubDate desc
retuns Artical's : 5,4,3,2,1
select * from ArticalMedia where ArticalID in (select top 5 ID from Artical order by PubDate desc)
can return Medias of 6,5,4,3,2. cause new Artical might be inserted in database, after first select & before second select.
Get the TOP 5 records and then join them to the ArticleMedia table:
SELECT *
FROM
(
SELECT TOP 5 ID,Description,PubDate
FROM Artical
ORDER BY PubDate DESC
) DS
INNER JOIN ArticleMedia AM
ON DS.[Id] = AM.[id]
Try this optimized query with light weight execution plan:
SELECT A.*,AM.*
FROM ArticalMedia AS AM INNER JOIN
Article AS A ON AM.ArticleID = A.ID
WHERE (AM.ArticleID IN
(SELECT TOP (5) ID
FROM Article
ORDER BY PubDate DESC))
ORDER BY A.PubDate DESC
Edit 2
Create Table valued function in SQL fn_split:
CREATE FUNCTION [dbo].[fn_Split](#sText varchar(8000), #sDelim varchar(20) = ' ')
RETURNS #retArray TABLE (idx smallint Primary Key, value varchar(8000))
AS
BEGIN
DECLARE #idx smallint,
#value varchar(8000),
#bcontinue bit,
#iStrike smallint,
#iDelimlength tinyint
IF #sDelim = 'Space'
BEGIN
SET #sDelim = ' '
END
SET #idx = 0
SET #sText = LTrim(RTrim(#sText))
SET #iDelimlength = DATALENGTH(#sDelim)
SET #bcontinue = 1
IF NOT ((#iDelimlength = 0) or (#sDelim = 'Empty'))
BEGIN
WHILE #bcontinue = 1
BEGIN
--If you can find the delimiter in the text, retrieve the first element and
--insert it with its index into the return table.
IF CHARINDEX(#sDelim, #sText)>0
BEGIN
SET #value = SUBSTRING(#sText,1, CHARINDEX(#sDelim,#sText)-1)
BEGIN
INSERT #retArray (idx, value)
VALUES (#idx, #value)
END
--Trim the element and its delimiter from the front of the string.
--Increment the index and loop.
SET #iStrike = DATALENGTH(#value) + #iDelimlength
SET #idx = #idx + 1
SET #sText = LTrim(Right(#sText,DATALENGTH(#sText) - #iStrike))
END
ELSE
BEGIN
--If you can’t find the delimiter in the text, #sText is the last value in
--#retArray.
SET #value = #sText
BEGIN
INSERT #retArray (idx, value)
VALUES (#idx, #value)
END
--Exit the WHILE loop.
SET #bcontinue = 0
END
END
END
ELSE
BEGIN
WHILE #bcontinue=1
BEGIN
--If the delimiter is an empty string, check for remaining text
--instead of a delimiter. Insert the first character into the
--retArray table. Trim the character from the front of the string.
--Increment the index and loop.
IF DATALENGTH(#sText)>1
BEGIN
SET #value = SUBSTRING(#sText,1,1)
BEGIN
INSERT #retArray (idx, value)
VALUES (#idx, #value)
END
SET #idx = #idx+1
SET #sText = SUBSTRING(#sText,2,DATALENGTH(#sText)-1)
END
ELSE
BEGIN
--One character remains.
--Insert the character, and exit the WHILE loop.
INSERT #retArray (idx, value)
VALUES (#idx, #sText)
SET #bcontinue = 0
END
END
END
RETURN
END
Then the query will be:
DECLARE #tmp nvarchar(max);
select #tmp = stuff((select top 5 ', ', cast(id as nvarchar(max))
FROM Article
ORDER BY PubDate DESC
for xml path ('')
), 1, 2, '');
SELECT A.*,AM.*
FROM ArticalMedia AS AM INNER JOIN
Article AS A ON AM.ArticleID = A.ID
WHERE (AM.ArticleID IN (select value from dbo.fn_split(#tmp,',')))
ORDER BY A.PubDate DESC
Use a CTE to keep it simple:
with Top5Artical as (
select top (5) Artical.ID as ArticleID
from Artical
order by Artical.PubDate desc
),
insert into #Table1
select Top5.ArticalID,
Art.Description,
Art.PubDate
from Top5Artical as Top5
inner join Artical as Art
on Top5.ArticalID = Art.ID
order by Top5.PubDate desc;
insert into #Table2
select Top5.ArticalID,
ArtMedia.ID,
ArtMedia.URL
from Top5Artical as Top5
inner join ArticalMedia as ArtMedia
on Top5.ArticalID = ArtMedia.ArticalID
order by Top5.PubDate desc;
select * from #Table1;
select * from #Table2;

Update multiple columns by loop?

I have a select statement which I want to convert into an update statement for all the columns in the table which have the name Variable[N].
For example, I want to do these things:
I want to be able to convert the SQL below into an update statement.
I have n columns with the name variable[N]. The example below only updates column variable63, but I want to dynamically run the update on all columns with names variable1 through variableN without knowing how many variable[N] columns I have in advance. Also, in the example below I get the updated result into NewCol. I actually want to update the respective variable column with the results if possible, variable63 in my example below.
I want to have a wrapper that loops over column variable1 through variableN and perform the same respective update operation on all those columns:
SELECT
projectid
,documentid
,revisionno
,configurationid
,variable63
,ISNULL(Variable63,
(SELECT TOP 1
variable63
FROM table1
WHERE
documentid = t.documentid
and projectid=t.projectid
and configurationid=t.configurationid
and cast(revisionno as int) < cast(t.revisionno as int)
AND Variable63 is NOT NULL
ORDER BY
projectid desc
,documentid desc
,revisionno desc
,configurationid desc
)) as NewCol
FROM table1 t;
There's no general way to loop through variables in SQL, you're supposed to know exactly what you want to modify. In some databases, it will be possible to query system tables to dynamically build an update statement (I know how to do that in InterBase and it's decessor Firebird), but you haven't told us anything which database engine you're using.
Below is a way you could update several fields that are null, COALESCE and CASE are two way of doing the same thing, as is using LEFT JOIN or NOT EXISTS. Use the ones you and your database engine is most comfortable with. Beware that all records will be updated, so this is not a good solution if your database contains millions of records, each record is large and you want this query to be executed lots of times.
UPDATE table1 t
SET t.VARIABLE63 =
COALESCE(t.VARIABLE63,
(SELECT VARIABLE63
FROM table1 t0
LEFT JOIN table1 tNot
ON tNot.documentid = t.documentid
AND tNot.projectid=t.projectid
AND tNot.configurationid=t.configurationid
AND cast(tNot.revisionno as int) > cast(t0.revisionno as int)
AND cast(tNot.revisionno as int) < cast(t.revisionno as int)
AND tNot.Variable63 is NOT NULL
WHERE t0.documentid = t.documentid
AND t0.projectid=t.projectid
AND t0.configurationid=t.configurationid
AND cast(t0.revisionno as int) < cast(t.revisionno as int)
AND t0.Variable63 is NOT NULL
AND tNot.Variable63 is NULL)),
t.VARIABLE64 = CASE WHEN t.VARIABLE64 IS NOT NULL then t.VARIABLE64
ELSE (SELECT VARIABLE64
FROM table1 t0
WHERE t0.documentid = t.documentid
AND t0.projectid=t.projectid
AND t0.configurationid=t.configurationid
AND cast(t0.revisionno as int) < cast(t.revisionno as int)
AND t0.Variable64 is NOT NULL
AND NOT EXISTS(SELECT 1
FROM table1 tNot
WHERE tNot.documentid = t.documentid
AND tNot.projectid=t.projectid
AND tNot.configurationid=t.configurationid
AND cast(tNot.revisionno as int) > cast(t0.revisionno as int)
AND cast(tNot.revisionno as int) < cast(t.revisionno as int)
AND tNot.Variable64 is NOT NULL)) END
OK I think I got it. Function that loops through columns and runs an update command per column.
DECLARE #sql NVARCHAR(1000),
#cn NVARCHAR(1000)--,
--#r NVARCHAR(1000),
--#start INT
DECLARE col_names CURSOR FOR
SELECT column_name
FROM information_schema.columns
WHERE table_name = 'PIVOT_TABLE'
ORDER BY ordinal_position
--SET #start = 0
DECLARE #op VARCHAR(max)
SET #op=''
OPEN col_names FETCH next FROM col_names INTO #cn
WHILE ##FETCH_STATUS = 0
BEGIN
--print #cn
IF UPPER(#cn)<> 'DOCUMENTID' and UPPER(#cn)<> 'CONFIGURATIONID' and UPPER(#cn)<> 'PROJECTID' and UPPER(#cn)<> 'REVISIONNO'
BEGIN
SET #sql = 'UPdate pt
set pt.' + #cn + ' = ((SELECT TOP 1 t.' + #cn + ' FROM pivot_table t WHERE t.documentid = pt.documentid and t.projectid=pt.projectid
and t.configurationid=pt.configurationid and cast(t.revisionno as int) < cast(pt.revisionno as int) AND t.' + #cn + ' is NOT NULL
ORDER BY revisionno desc)) from PIVOT_TABLE pt where pt.' + #cn + ' is NULL;'
EXEC Sp_executesql
#sql
--print #cn
END
FETCH next FROM col_names INTO #cn
END
CLOSE col_names
DEALLOCATE col_names;

Delete duplicate records in SQL Server?

Consider a column named EmployeeName table Employee. The goal is to delete repeated records, based on the EmployeeName field.
EmployeeName
------------
Anand
Anand
Anil
Dipak
Anil
Dipak
Dipak
Anil
Using one query, I want to delete the records which are repeated.
How can this be done with TSQL in SQL Server?
You can do this with window functions. It will order the dupes by empId, and delete all but the first one.
delete x from (
select *, rn=row_number() over (partition by EmployeeName order by empId)
from Employee
) x
where rn > 1;
Run it as a select to see what would be deleted:
select *
from (
select *, rn=row_number() over (partition by EmployeeName order by empId)
from Employee
) x
where rn > 1;
Assuming that your Employee table also has a unique column (ID in the example below), the following will work:
delete from Employee
where ID not in
(
select min(ID)
from Employee
group by EmployeeName
);
This will leave the version with the lowest ID in the table.
Edit
Re McGyver's comment - as of SQL 2012
MIN can be used with numeric, char, varchar, uniqueidentifier, or datetime columns, but not with bit columns
For 2008 R2 and earlier,
MIN can be used with numeric, char, varchar, or datetime columns, but not with bit columns (and it also doesn't work with GUID's)
For 2008R2 you'll need to cast the GUID to a type supported by MIN, e.g.
delete from GuidEmployees
where CAST(ID AS binary(16)) not in
(
select min(CAST(ID AS binary(16)))
from GuidEmployees
group by EmployeeName
);
SqlFiddle for various types in Sql 2008
SqlFiddle for various types in Sql 2012
You could try something like the following:
delete T1
from MyTable T1, MyTable T2
where T1.dupField = T2.dupField
and T1.uniqueField > T2.uniqueField
(this assumes that you have an integer based unique field)
Personally though I'd say you were better off trying to correct the fact that duplicate entries are being added to the database before it occurs rather than as a post fix-it operation.
DELETE
FROM MyTable
WHERE ID NOT IN (
SELECT MAX(ID)
FROM MyTable
GROUP BY DuplicateColumn1, DuplicateColumn2, DuplicateColumn3)
WITH TempUsers (FirstName, LastName, duplicateRecordCount)
AS
(
SELECT FirstName, LastName,
ROW_NUMBER() OVER (PARTITIONBY FirstName, LastName ORDERBY FirstName) AS duplicateRecordCount
FROM dbo.Users
)
DELETE
FROM TempUsers
WHERE duplicateRecordCount > 1
WITH CTE AS
(
SELECT EmployeeName,
ROW_NUMBER() OVER(PARTITION BY EmployeeName ORDER BY EmployeeName) AS R
FROM employee_table
)
DELETE CTE WHERE R > 1;
The magic of common table expressions.
Try
DELETE
FROM employee
WHERE rowid NOT IN (SELECT MAX(rowid) FROM employee
GROUP BY EmployeeName);
If you're looking for a way to remove duplicates, yet you have a foreign key pointing to the table with duplicates, you could take the following approach using a slow yet effective cursor.
It will relocate the duplicate keys on the foreign key table.
create table #properOlvChangeCodes(
id int not null,
name nvarchar(max) not null
)
DECLARE #name VARCHAR(MAX);
DECLARE #id INT;
DECLARE #newid INT;
DECLARE #oldid INT;
DECLARE OLVTRCCursor CURSOR FOR SELECT id, name FROM Sales_OrderLineVersionChangeReasonCode;
OPEN OLVTRCCursor;
FETCH NEXT FROM OLVTRCCursor INTO #id, #name;
WHILE ##FETCH_STATUS = 0
BEGIN
-- determine if it should be replaced (is already in temptable with name)
if(exists(select * from #properOlvChangeCodes where Name=#name)) begin
-- if it is, finds its id
Select top 1 #newid = id
from Sales_OrderLineVersionChangeReasonCode
where Name = #name
-- replace terminationreasoncodeid in olv for the new terminationreasoncodeid
update Sales_OrderLineVersion set ChangeReasonCodeId = #newid where ChangeReasonCodeId = #id
-- delete the record from the terminationreasoncode
delete from Sales_OrderLineVersionChangeReasonCode where Id = #id
end else begin
-- insert into temp table if new
insert into #properOlvChangeCodes(Id, name)
values(#id, #name)
end
FETCH NEXT FROM OLVTRCCursor INTO #id, #name;
END;
CLOSE OLVTRCCursor;
DEALLOCATE OLVTRCCursor;
drop table #properOlvChangeCodes
delete from person
where ID not in
(
select t.id from
(select min(ID) as id from person
group by email
) as t
);
Please see the below way of deletion too.
Declare #Employee table (EmployeeName varchar(10))
Insert into #Employee values
('Anand'),('Anand'),('Anil'),('Dipak'),
('Anil'),('Dipak'),('Dipak'),('Anil')
Select * from #Employee
Created a sample table named #Employee and loaded it with given data.
Delete aliasName from (
Select *,
ROW_NUMBER() over (Partition by EmployeeName order by EmployeeName) as rowNumber
From #Employee) aliasName
Where rowNumber > 1
Select * from #Employee
Result:
I know, this is asked six years ago, posting just incase it is helpful for anyone.
Here's a nice way of deduplicating records in a table that has an identity column based on a desired primary key that you can define at runtime. Before I start I'll populate a sample data set to work with using the following code:
if exists (select 1 from sys.all_objects where type='u' and name='_original')
drop table _original
declare #startyear int = 2017
declare #endyear int = 2018
declare #iterator int = 1
declare #income money = cast((SELECT round(RAND()*(5000-4990)+4990 , 2)) as money)
declare #salesrepid int = cast(floor(rand()*(9100-9000)+9000) as varchar(4))
create table #original (rowid int identity, monthyear varchar(max), salesrepid int, sale money)
while #iterator<=50000 begin
insert #original
select (Select cast(floor(rand()*(#endyear-#startyear)+#startyear) as varchar(4))+'-'+ cast(floor(rand()*(13-1)+1) as varchar(2)) ), #salesrepid , #income
set #salesrepid = cast(floor(rand()*(9100-9000)+9000) as varchar(4))
set #income = cast((SELECT round(RAND()*(5000-4990)+4990 , 2)) as money)
set #iterator=#iterator+1
end
update #original
set monthyear=replace(monthyear, '-', '-0') where len(monthyear)=6
select * into _original from #original
Next I'll create a Type called ColumnNames:
create type ColumnNames AS table
(Columnnames varchar(max))
Finally I will create a stored proc with the following 3 caveats:
1. The proc will take a required parameter #tablename that defines the name of the table you are deleting from in your database.
2. The proc has an optional parameter #columns that you can use to define the fields that make up the desired primary key that you are deleting against. If this field is left blank, it is assumed that all the fields besides the identity column make up the desired primary key.
3. When duplicate records are deleted, the record with the lowest value in it's identity column will be maintained.
Here is my delete_dupes stored proc:
create proc delete_dupes (#tablename varchar(max), #columns columnnames readonly)
as
begin
declare #table table (iterator int, name varchar(max), is_identity int)
declare #tablepartition table (idx int identity, type varchar(max), value varchar(max))
declare #partitionby varchar(max)
declare #iterator int= 1
if exists (select 1 from #columns) begin
declare #columns1 table (iterator int, columnnames varchar(max))
insert #columns1
select 1, columnnames from #columns
set #partitionby = (select distinct
substring((Select ', '+t1.columnnames
From #columns1 t1
Where T1.iterator = T2.iterator
ORDER BY T1.iterator
For XML PATH ('')),2, 1000) partition
From #columns1 T2 )
end
insert #table
select 1, a.name, is_identity from sys.all_columns a join sys.all_objects b on a.object_id=b.object_id
where b.name = #tablename
declare #identity varchar(max)= (select name from #table where is_identity=1)
while #iterator>=0 begin
insert #tablepartition
Select distinct case when #iterator=1 then 'order by' else 'over (partition by' end ,
substring((Select ', '+t1.name
From #table t1
Where T1.iterator = T2.iterator and is_identity=#iterator
ORDER BY T1.iterator
For XML PATH ('')),2, 5000) partition
From #table T2
set #iterator=#iterator-1
end
declare #originalpartition varchar(max)
if #partitionby is null begin
select #originalpartition = replace(b.value+','+a.type+a.value ,'over (partition by','') from #tablepartition a cross join #tablepartition b where a.idx=2 and b.idx=1
select #partitionby = a.type+a.value+' '+b.type+a.value+','+b.value+') rownum' from #tablepartition a cross join #tablepartition b where a.idx=2 and b.idx=1
end
else
begin
select #originalpartition=b.value +','+ #partitionby from #tablepartition a cross join #tablepartition b where a.idx=2 and b.idx=1
set #partitionby = (select 'OVER (partition by'+ #partitionby + ' ORDER BY'+ #partitionby + ','+b.value +') rownum'
from #tablepartition a cross join #tablepartition b where a.idx=2 and b.idx=1)
end
exec('select row_number() ' + #partitionby +', '+#originalpartition+' into ##temp from '+ #tablename+'')
exec(
'delete a from _original a
left join ##temp b on a.'+#identity+'=b.'+#identity+' and rownum=1
where b.rownum is null')
drop table ##temp
end
Once this is complied, you can delete all your duplicate records by running the proc. To delete dupes without defining a desired primary key use this call:
exec delete_dupes '_original'
To delete dupes based on a defined desired primary key use this call:
declare #table1 as columnnames
insert #table1
values ('salesrepid'),('sale')
exec delete_dupes '_original' , #table1

SQL query to find Missing sequence numbers

I have a column named sequence. The data in this column looks like 1, 2, 3, 4, 5, 7, 9, 10, 15.
I need to find the missing sequence numbers from the table. What SQL query will find the missing sequence numbers from my table? I am expecting results like
Missing numbers
---------------
6
8
11
12
13
14
I am using only one table. I tried the query below, but am not getting the results I want.
select de.sequence + 1 as sequence from dataentry as de
left outer join dataentry as de1 on de.sequence + 1 = de1.sequence
where de1.sequence is null order by sequence asc;
How about something like:
select (select isnull(max(val)+1,1) from mydata where val < md.val) as [from],
md.val - 1 as [to]
from mydata md
where md.val != 1 and not exists (
select 1 from mydata md2 where md2.val = md.val - 1)
giving summarised results:
from to
----------- -----------
6 6
8 8
11 14
I know this is a very old post but I wanted to add this solution that I found HERE so that I can find it easier:
WITH Missing (missnum, maxid)
AS
(
SELECT 1 AS missnum, (select max(id) from #TT)
UNION ALL
SELECT missnum + 1, maxid FROM Missing
WHERE missnum < maxid
)
SELECT missnum
FROM Missing
LEFT OUTER JOIN #TT tt on tt.id = Missing.missnum
WHERE tt.id is NULL
OPTION (MAXRECURSION 0);
Try with this:
declare #min int
declare #max int
select #min = min(seq_field), #max = max(seq_field) from [Table]
create table #tmp (Field_No int)
while #min <= #max
begin
if not exists (select * from [Table] where seq_field = #min)
insert into #tmp (Field_No) values (#min)
set #min = #min + 1
end
select * from #tmp
drop table #tmp
The best solutions are those that use a temporary table with the sequence. Assuming you build such a table, LEFT JOIN with NULL check should do the job:
SELECT #sequence.value
FROM #sequence
LEFT JOIN MyTable ON #sequence.value = MyTable.value
WHERE MyTable.value IS NULL
But if you have to repeat this operation often (and more then for 1 sequence in the database), I would create a "static-data" table and have a script to populate it to the MAX(value) of all the tables you need.
SELECT CASE WHEN MAX(column_name) = COUNT(*)
THEN CAST(NULL AS INTEGER)
-- THEN MAX(column_name) + 1 as other option
WHEN MIN(column_name) > 1
THEN 1
WHEN MAX(column_name) <> COUNT(*)
THEN (SELECT MIN(column_name)+1
FROM table_name
WHERE (column_name+ 1)
NOT IN (SELECT column_name FROM table_name))
ELSE NULL END
FROM table_name;
Here is a script to create a stored procedure that returns missing sequential numbers for a given date range.
CREATE PROCEDURE dbo.ddc_RolledBackOrders
-- Add the parameters for the stored procedure here
#StartDate DATETIME ,
#EndDate DATETIME
AS
BEGIN
SET NOCOUNT ON;
DECLARE #Min BIGINT
DECLARE #Max BIGINT
DECLARE #i BIGINT
IF OBJECT_ID('tempdb..#TempTable') IS NOT NULL
BEGIN
DROP TABLE #TempTable
END
CREATE TABLE #TempTable
(
TempOrderNumber BIGINT
)
SELECT #Min = ( SELECT MIN(ordernumber)
FROM dbo.Orders WITH ( NOLOCK )
WHERE OrderDate BETWEEN #StartDate AND #EndDate)
SELECT #Max = ( SELECT MAX(ordernumber)
FROM dbo.Orders WITH ( NOLOCK )
WHERE OrderDate BETWEEN #StartDate AND #EndDate)
SELECT #i = #Min
WHILE #i <= #Max
BEGIN
INSERT INTO #TempTable
SELECT #i
SELECT #i = #i + 1
END
SELECT TempOrderNumber
FROM #TempTable
LEFT JOIN dbo.orders o WITH ( NOLOCK ) ON tempordernumber = o.OrderNumber
WHERE o.OrderNumber IS NULL
END
GO
Aren't all given solutions way too complex?
wouldn't this be much simpler:
SELECT *
FROM (SELECT row_number() over(order by number) as N from master..spt_values) t
where N not in (select 1 as sequence union
select 2 union
select 3 union
select 4 union
select 5 union
select 7 union
select 10 union
select 15
)
This is my interpretation of this issue, placing the contents in a Table variable that I can easily access in the remainder of my script.
DECLARE #IDS TABLE (row int, ID int)
INSERT INTO #IDS
select ROW_NUMBER() OVER (ORDER BY x.[Referred_ID]), x.[Referred_ID] FROM
(SELECT b.[Referred_ID] + 1 [Referred_ID]
FROM [catalog].[dbo].[Referrals] b) as x
LEFT JOIN [catalog].[dbo].[Referrals] a ON x.[Referred_ID] = a.[Referred_ID]
WHERE a.[Referred_ID] IS NULL
select * from #IDS
Just for fun, I decided to post my solution.
I had an identity column in my table and I wanted to find missing invoice numbers.
I reviewed all the examples I could find but they were not elegant enough.
CREATE VIEW EENSkippedInvoicveNo
AS
SELECT CASE WHEN MSCNT = 1 THEN CAST(MSFIRST AS VARCHAR (8)) ELSE
CAST(MSFIRST AS VARCHAR (8)) + ' - ' + CAST(MSlAST AS VARCHAR (8)) END AS MISSING,
MSCNT, INV_DT FROM (
select invNo+1 as Msfirst, inv_no -1 as Mslast, inv_no - invno -1 as msCnt, dbo.fmtdt(Inv_dt) AS INV_dT
from (select inv_no as invNo, a4glidentity + 1 as a4glid
from oehdrhst_sql where inv_dt > 20140401) as s
inner Join oehdrhst_sql as h
on a4glid = a4glidentity
where inv_no - invno <> 1
) AS SS
DECLARE #MaxID INT = (SELECT MAX(timerecordid) FROM dbo.TimeRecord)
SELECT SeqID AS MissingSeqID
FROM (SELECT ROW_NUMBER() OVER (ORDER BY column_id) SeqID from sys.columns) LkUp
LEFT JOIN dbo.TimeRecord t ON t.timeRecordId = LkUp.SeqID
WHERE t.timeRecordId is null and SeqID < #MaxID
I found this answer here:
http://sql-developers.blogspot.com/2012/10/how-to-find-missing-identitysequence.html
I was looking for a solution and found many answers. This is the one I used and it worked very well. I hope this helps anyone looking for a similar answer.
-- This will return better Results
-- ----------------------------------
;With CTERange
As (
select (select isnull(max(ArchiveID)+1,1) from tblArchives where ArchiveID < md.ArchiveID) as [from],
md.ArchiveID - 1 as [to]
from tblArchives md
where md.ArchiveID != 1 and not exists (
select 1 from tblArchives md2 where md2.ArchiveID = md.ArchiveID - 1)
) SELECT [from], [to], ([to]-[from])+1 [total missing]
From CTERange
ORDER BY ([to]-[from])+1 DESC;
from to total missing
------- ------- --------------
6 6 1
8 8 1
11 14 4
DECLARE #TempSujith TABLE
(MissingId int)
Declare #Id Int
DECLARE #mycur CURSOR
SET #mycur = CURSOR FOR Select Id From tbl_Table
OPEN #mycur
FETCH NEXT FROM #mycur INTO #Id
Declare #index int
Set #index = 1
WHILE ##FETCH_STATUS = 0
BEGIN
if (#index < #Id)
begin
while #index < #Id
begin
insert into #TempSujith values (#index)
set #index = #index + 1
end
end
set #index = #index + 1
FETCH NEXT FROM #mycur INTO #Id
END
Select Id from tbl_Table
select MissingId from #TempSujith
Create a useful Tally table:
-- can go up to 4 million or 2^22
select top 100000 identity(int, 1, 1) Id
into Tally
from master..spt_values
cross join master..spt_values
Index it, or make that single column as PK.
Then use EXCEPT to get your missing number.
select Id from Tally where Id <= (select max(Id) from TestTable)
except
select Id from TestTable
You could also solve using something like a CTE to generate the full sequence:
create table #tmp(sequence int)
insert into #tmp(sequence) values (1)
insert into #tmp(sequence) values (2)
insert into #tmp(sequence) values (3)
insert into #tmp(sequence) values (5)
insert into #tmp(sequence) values (6)
insert into #tmp(sequence) values (8)
insert into #tmp(sequence) values (10)
insert into #tmp(sequence) values (11)
insert into #tmp(sequence) values (14)
DECLARE #max INT
SELECT #max = max(sequence) from #tmp;
with full_sequence
(
Sequence
)
as
(
SELECT 1 Sequence
UNION ALL
SELECT Sequence + 1
FROM full_sequence
WHERE Sequence < #max
)
SELECT
full_sequence.sequence
FROM
full_sequence
LEFT JOIN
#tmp
ON
full_sequence.sequence = #tmp.sequence
WHERE
#tmp.sequence IS NULL
Hmmmm - the formatting is not working on here for some reason? Can anyone see the problem?
i had made a proc so you can send the table name and the key and the result is a list of missing numbers from the given table
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
create PROCEDURE [dbo].[action_FindMissing_Autoincremnt]
(
#tblname as nvarchar(50),
#tblKey as nvarchar(50)
)
AS
BEGIN
SET NOCOUNT ON;
declare #qry nvarchar(4000)
set #qry = 'declare #min int '
set #qry = #qry + 'declare #max int '
set #qry = #qry +'select #min = min(' + #tblKey + ')'
set #qry = #qry + ', #max = max('+ #tblKey +') '
set #qry = #qry + ' from '+ #tblname
set #qry = #qry + ' create table #tmp (Field_No int)
while #min <= #max
begin
if not exists (select * from '+ #tblname +' where '+ #tblKey +' = #min)
insert into #tmp (Field_No) values (#min)
set #min = #min + 1
end
select * from #tmp order by Field_No
drop table #tmp '
exec sp_executesql #qry
END
GO
SELECT TOP 1 (Id + 1)
FROM CustomerNumberGenerator
WHERE (Id + 1) NOT IN ( SELECT Id FROM CustomerNumberGenerator )
Working on a customer number generator for my company. Not the most efficient but definitely most readable
The table has one Id column.
The table allows for Ids to be inserted at manually by a user off sequence.
The solution solves the case where the user decided to pick a high number