So I have query to return data and a row number using ROW_NUMBER() OVER(PARTITION BY) and I place it into a temp table. The initial output looks the screenshot:
.
From here I need to, in the bt_newlabel column, replace the nulls respectively. So Rownumber 1-4 would be in progress, 5-9 would be underwriting, 10-13 would be implementation, and so forth.
I am hitting a wall trying to determine how to do this. Thanks for any help or input of how I would go about this.
One method is to assign groups, and then the value. Such as:
select t.*, max(bt_newlabel) over (partition by grp) as new_newlabel
from (select t.*, count(bt_newlabel) over (order by bt_stamp) as grp
from t
) t;
The group is simply the number of known values previously seen in the data.
You can update the field with:
with toupdate as (
select t.*, max(bt_newlabel) over (partition by grp) as new_newlabel
from (select t.*, count(bt_newlabel) over (order by bt_stamp) as grp
from t
) t
)
update toupdate
set bt_newlabel = new_newlabel
where bt_newlabel is null;
If I understood what you are trying to do, this is the type of update you need to do on your temp table:
--This will update rows 1-4 to 'Pre-Underwritting'
UPDATE temp_table SET bt_newlabel = 'Pre-Underwritting'
WHERE rownumber between
1 AND (SELECT TOP 1 rownumber FROM temp_table WHERE bt_oldlabel = 'Pre-Underwritting');
--This will update rows 5-9 to 'Underwritting'
UPDATE temp_table SET bt_newlabel = 'Underwritting'
WHERE rownumber between
(SELECT TOP 1 rownumber FROM temp_table WHERE bt_oldlabel = 'Pre-Underwritting')
AND
(SELECT TOP 1 rownumber FROM temp_table WHERE bt_oldlabel = 'Underwritting');
--This will update rows 10-13 to 'Implementation'
UPDATE temp_table SET bt_newlabel = 'Implementation'
WHERE rownumber between
(SELECT TOP 1 rownumber FROM temp_table WHERE bt_oldlabel = 'Underwritting')
AND
(SELECT TOP 1 rownumber FROM temp_table WHERE bt_oldlabel = 'Implementation');
I made a working Fiddle to check out the results: http://sqlfiddle.com/#!18/1cae2/1/3
Related
I have a table which has below values:
If Sum of values = 0 with same ID I want to delete them from the table. So result should look like this:
The code I have:
DELETE FROM tmp_table
WHERE ID in
(SELECT ID
FROM tmp_table WITH(NOLOCK)
GROUP BY ID
HAVING SUM(value) = 0)
Only deletes rows with ID = 2.
UPD: Including additional example:
Rows in yellow needs to be deleted
Your query is working correctly because the only group to total zero is id 2, the others have sub-groups which total zero (such as the first two with id 1) but the total for all those records is -3.
What you're wanting is a much more complex algorithm to do "bin packing" in order to remove the sub groups which sum to zero.
You can do what you want using window functions -- by enumerating the values for each id. Taking your approach using a subquery:
with t as (
select t.*,
row_number() over (partition by id, value order by id) as seqnum
from tmp_table t
)
delete from t
where exists (select 1
from t t2
where t2.id = t.id and t2.value = - t.value and t2.seqnum = t.seqnum
);
You can also do this with a second layer of window functions:
with t as (
select t.*,
row_number() over (partition by id, value order by id) as seqnum
from tmp_table t
),
tt as (
select t.*, count(*) over (partition by id, abs(value), seqnum) as cnt
from t
)
delete from tt
where cnt = 2;
I am trying to update a field in a column, but the rows to be updated should be within a range of row numbers.
For example, I want to update endtime for rownumbers between 5 and 50.
So far, I have written this:
with updateRows (id, seqid)
as ( select id, ROW_NUMBER() over (order by caster) from table1)
update table1 set modification_date = sysdatetimeoffset() where updateRows.seqid between 5 and 50;
When I do this, I get an error on uniqueRows.seqid saying -- the multi part 'updateRows.seqid' identifier couldnnot be bound.
Can someone please help me with this.
Use you close:
with toupdate as (
select t1.*, ROW_NUMBER() over (order by caster) as seqnum
from table1 t1
)
update toupdate
set modification_date = sysdatetimeoffset()
where seqnum between 5 and 50;
Basically there are two changes:
The CTE selects all the columns.
The update directly updates the CTE, so seqnum is available for filtering.
I have two tables. Table 1 has about 80 rows and Table 2 has about 10 million.
I would like to update all the rows in Table 2 with a random row from Table 1. I don't want the same row for all the rows. Is it possible to update Table 2 and have it randomly select a value for each row it is updating?
This is what I have tried, but it puts the same value in each row.
update member_info_test
set hostessid = (SELECT TOP 1 hostessId FROM hostess_test ORDER BY NEWID())
**Edited
Ok, I think that this is one of the weirdest query that I've wrote, and I think that this is gonna be terrible slow. But give it a shot:
UPDATE A
SET A.hostessid = B.hostessId
FROM member_info_test A
CROSS APPLY (SELECT TOP 1 hostessId
FROM hostess_test
WHERE A.somecolumn = A.somecolumn
ORDER BY NEWID()) B
I think this will work (at least, the with portion does):
with toupdate as (
select (select top . . . hostessId from hostess_test where mit.hostessId = mit.hostessId order by newid()) as newval,
mit.*
from member_info_test mit
)
update toupdate
set hostessid = newval;
The key to this (and to Lamak's) is the outer correlation in the subquery. This is convincing the optimizer to actually run the query for each row. I don't know why this would work and the other version would not.
Here is what i ended up using:
EnvelopeInformation would be your Table 2
PaymentAccountDropDown would be your Table 1 (in my case i had 3 items) - change 3 to 80 for your usecase.
;WITH cteTable1 AS (
SELECT
ROW_NUMBER() OVER (ORDER BY NEWID()) AS n,
PaymentAccountDropDown_Id
FROM EnvelopeInformation
),
cteTable2 AS (
SELECT
ROW_NUMBER() OVER (ORDER BY NEWID()) AS n,
t21.Id
FROM PaymentAccountDropDown t21
)
UPDATE cteTable1
SET PaymentAccountDropDown_Id = (
SELECT Id
FROM cteTable2
WHERE (cteTable1.n % 3) + 1 = cteTable2.n
)
reference:
http://social.technet.microsoft.com/Forums/sqlserver/pt-BR/f58c3bf8-e6b7-4cf5-9466-7027164afdc0/updating-multiple-rows-with-random-values-from-another-table
Update Table with Random fields
UPDATE p
SET p.City= b.City
FROM Person p
CROSS APPLY (SELECT TOP 1 City
FROM z.CityStateZip
WHERE p.SomeKey = p.SomeKey and -- ... the magic! ↓↓↓
Id = (Select ABS(Checksum(NewID()) % (Select count(*) from z.CityStateZip)))) b
Such SQL query:
SELECT ROW_NUMBER() OVER (PARTITION BY ID, YEAR order by ID ), ID, YEAR
from table t
give me following query set:
1 1000415591 2012
1 1000415591 2013
2 1000415591 2013
1 1000415591 2014
2 1000415591 2014
How could I update records with ROW_NUMBER() equals to 2? Other fields of this records is identically (select distinct from table where id = 1000415591 gives 3 records when there are 5 without distinct keyword), so I can depend only on ROW_NUMBER() value.
I need solution for Oracle, because I saw something similar for SQL-Server but it won't work with Oracle.
You could use a MERGE statement which is quite verbose and easy to understand.
For example,
MERGE INTO t s
USING
(SELECT ROW_NUMBER() OVER (PARTITION BY ID, YEAR order by ID ) RN,
ID,
YEAR
FROM TABLE t
) u ON (s.id = u.id)
WHEN MATCHED THEN
UPDATE SET YEAR = some_value WHERE u.RN = 2)
/
Note You cannot merge the same column which is used to join in the ON clause.
Try to use ROWID field:
UPDATE T
SET t.year = t.year*1000
WHERE (rowid,2) in (SELECT rowid,
ROW_NUMBER()
OVER (PARTITION BY ID, t.YEAR order by ID )
FROM T)
SQLFiddle demo
If you need to delete range of ROWNUMBERS then :
UPDATE T
SET t.year = t.year*1000
WHERE rowid in ( SELECT rowid FROM
(
SELECT rowid,
ROW_NUMBER()
OVER (PARTITION BY ID, t.YEAR order by ID ) as RN
FROM T
) T2 WHERE RN >=2 AND RN <=10
)
SQLFiddle demo
This is not the update statement but this is how to get the 2 rows you wanted to update:
SELECT *
FROM (
SELECT ROW_NUMBER() OVER (PARTITION BY ID, YEAR order by ID ) as rn, ID, YEAR
from t )
where rn = 2
SQLFIDDLE
When I've posted thq question, I've found that this could be wrong approach. I could modify table and add new fields. So better solution to create one more field IDENTITY and update it with numbers from the new sequence from 1 to total row numbers. Then I could update fields based on this IDENTIY field.
I'll keep this question opened if someone come up with solution based on ROW_NUMBER() analytic function.
update TABLE set NEW_ID = TABLE_SEQ.nextval
where IDENTITY in (
select IDENTITY from (
select row_number() over(PARTITION BY ID, YEAR order by ID) as row_num, t.ID, t."YEAR", t.IDENTITY
from TABLE t
) where row_num > 1
)
I have two tables. Table 1 has about 80 rows and Table 2 has about 10 million.
I would like to update all the rows in Table 2 with a random row from Table 1. I don't want the same row for all the rows. Is it possible to update Table 2 and have it randomly select a value for each row it is updating?
This is what I have tried, but it puts the same value in each row.
update member_info_test
set hostessid = (SELECT TOP 1 hostessId FROM hostess_test ORDER BY NEWID())
**Edited
Ok, I think that this is one of the weirdest query that I've wrote, and I think that this is gonna be terrible slow. But give it a shot:
UPDATE A
SET A.hostessid = B.hostessId
FROM member_info_test A
CROSS APPLY (SELECT TOP 1 hostessId
FROM hostess_test
WHERE A.somecolumn = A.somecolumn
ORDER BY NEWID()) B
I think this will work (at least, the with portion does):
with toupdate as (
select (select top . . . hostessId from hostess_test where mit.hostessId = mit.hostessId order by newid()) as newval,
mit.*
from member_info_test mit
)
update toupdate
set hostessid = newval;
The key to this (and to Lamak's) is the outer correlation in the subquery. This is convincing the optimizer to actually run the query for each row. I don't know why this would work and the other version would not.
Here is what i ended up using:
EnvelopeInformation would be your Table 2
PaymentAccountDropDown would be your Table 1 (in my case i had 3 items) - change 3 to 80 for your usecase.
;WITH cteTable1 AS (
SELECT
ROW_NUMBER() OVER (ORDER BY NEWID()) AS n,
PaymentAccountDropDown_Id
FROM EnvelopeInformation
),
cteTable2 AS (
SELECT
ROW_NUMBER() OVER (ORDER BY NEWID()) AS n,
t21.Id
FROM PaymentAccountDropDown t21
)
UPDATE cteTable1
SET PaymentAccountDropDown_Id = (
SELECT Id
FROM cteTable2
WHERE (cteTable1.n % 3) + 1 = cteTable2.n
)
reference:
http://social.technet.microsoft.com/Forums/sqlserver/pt-BR/f58c3bf8-e6b7-4cf5-9466-7027164afdc0/updating-multiple-rows-with-random-values-from-another-table
Update Table with Random fields
UPDATE p
SET p.City= b.City
FROM Person p
CROSS APPLY (SELECT TOP 1 City
FROM z.CityStateZip
WHERE p.SomeKey = p.SomeKey and -- ... the magic! ↓↓↓
Id = (Select ABS(Checksum(NewID()) % (Select count(*) from z.CityStateZip)))) b