I've seen a few posts on using CTE (WITH) that I thought would address my issue but I can't seem to make it work for my specific use case. My use case is that I have a table with a series of records, and I need to pull some number of records AFTER a small update has been made to them.
i.e.
- retrieve records where a series of conditions are met
- update one or more columns in each of those records
- return the updated records
I know I can return the IDs of the records using the following:
WITH cte AS
( SELECT TOP 1 * FROM msg
WHERE guid = 'abcd'
AND active = 1
ORDER BY created DESC )
UPDATE cte SET active = 0
OUTPUT INSERTED.msg_id
WHERE guid = 'abcd'
That nicely returns the msg_id field. I tried wrapping all of that in a SELECT * FROM msg WHERE msg_id IN () query, but it fails.
Anyone have a suggestion? For reference, using SQL Server 2008 R2.
CREATE TABLE #t (msg_id int)
;
WITH cte AS
( SELECT TOP 1 * FROM msg
WHERE guid = 'abcd'
AND active = 1
ORDER BY created DESC )
UPDATE cte SET active = 0
OUTPUT INSERTED.msg_id INTO #t
WHERE guid = 'abcd'
SELECT *
FROM #t
You can select the data that you need by just adding all columns that you want. INSERTED contains all columns, not just the ones written to. You can also output columns from the cte alias. Example:
OUTPUT INSERTED.SomeOtherColumn, cte.SomeOtherColumn
Related
anyone please tell me the below query is not working properly, It suppose to delete the duplicate records only and keep the one of them (latest record) but it is deleting all the record instead of keeping one of the duplicate records, why is it so?
delete
from
dev_rahul.page_content_insights
where
(sha_id,
etl_start_utc_dttm) in (
select
(a.sha_id,
a.etl_start_utc_dttm)
from
(
select
sha_id,
etl_start_utc_dttm,
ROW_NUMBER() over (Partition by sha_id
order by
etl_start_utc_dttm desc) as rn
from
dev_rahul.page_content_insights
where
(snapshot_dt) >= '2021-03-25' ) a
where
a.rn <> 1)
Query looks ok, though I don't use that syntax for cleaning up duplicates.
Can I confirm the following:
sha_id, etl_start_utc_dttm is your primary key?
You wish to keep sha_id and the latest row based on etl_start_utc_dttm field descending?
If so, try this two query pattern:
create or replace table dev_rahul.rows_not_to_delete as
SELECT col.* FROM (SELECT ARRAY_AGG(pci ORDER BY etl_start_utc_dttm desc LIMIT 1
) OFFSET(0)] col
FROM dev_rahul.page_content_insights pci
where snapshot_dt >= '2021-03-25' )
GROUP BY sha_id
);
delete dev_rahul.page_content_insights p
where not exists (select 1 from DW_pmo.rows_not_to_delete d
where p.sha_id = d.sha_id and p.etl_start_utc_dttm = d.etl_start_utc_dttm
) and snapshot_dt >= '2021-03-25';
You could do this in a singe query by putting the first statement into a CTE.
I have a requirement where I have to check if the record for the business date already exists in the table then I need to update the values for that business date from the select statement otherwise I have to insert for that business date from the select statement. Below is my full query where I am only inserting at the moment:
INSERT INTO
gstl_calculated_daily_fee(business_date,fee_type,fee_total,range_id,total_band_count)
select
#tlf_business_date,
'FEE_LOCAL_CARD',
SUM(C.settlement_fees),
C.range_id,
Count(1)
From
(
select
*
from
(
select
rowNumber = #previous_mada_switch_fee_volume_based_count + (ROW_NUMBER() OVER(PARTITION BY DATEPART(MONTH, x_datetime) ORDER BY x_datetime)),
tt.x_datetime
from gstl_trans_temp tt where (message_type_mapping = '0220') and card_type ='GEIDP1' and response_code IN('00','10','11') and tran_amount_req >= 5000 AND merchant_type NOT IN(5542,5541,4829)
) A
CROSS APPLY
(
select
rtt.settlement_fees,
rtt.range_id
From gstl_mada_local_switch_fee_volume_based rtt
where A.rowNumber >= rtt.range_start
AND (A.rowNumber <= rtt.range_end OR rtt.range_end IS NULL)
) B
) C
group by CAST(C.x_datetime AS DATE),C.range_id
I have tried to use the if exists but could not fit in the above full query.
if exists (select
business_date
from gstl_calculated_daily_fee
where
business_date = #tlf_business_date)
UPDATE gstl_calculated_daily_fee
SET fee_total = #total_mada_local_switch_fee_low
WHERE fee_type = 'FEE_LOCAL_CARD'
AND business_date = #tlf_business_date
else
INSERT INTO
Please help.
You need a MERGE statement with a join.
Basically, our issue with MERGE is going to be that we only want to merge against a subset of the target table. To do this, we pre-filter the table as a CTE. We can also put the source table as a CTE.
Be very careful when you write MERGE when using a CTE. You must make sure you fully filter the target within the CTE to what rows you want to merge against, and then match the rows using ON
;with source as (
select
business_date = #tlf_business_date,
fee_total = SUM(C.settlement_fees),
C.range_id,
total_band_count = Count(1)
From
(
select
rowNumber = #previous_mada_switch_fee_volume_based_count + (ROW_NUMBER() OVER(PARTITION BY DATEPART(MONTH, x_datetime) ORDER BY x_datetime)),
tt.x_datetime
from gstl_trans_temp tt where (message_type_mapping = '0220') and card_type ='GEIDP1' and response_code IN('00','10','11') and tran_amount_req >= 5000 AND merchant_type NOT IN(5542,5541,4829)
) A
CROSS APPLY
(
select
rtt.settlement_fees,
rtt.range_id
From gstl_mada_local_switch_fee_volume_based rtt
where A.rowNumber >= rtt.range_start
AND (A.rowNumber <= rtt.range_end OR rtt.range_end IS NULL)
) B
group by CAST(A.x_datetime AS DATE), B.range_id
),
target as (
select
business_date,fee_type,fee_total,range_id,total_band_count
from gstl_calculated_daily_fee
where business_date = #tlf_business_date AND fee_type = 'FEE_LOCAL_CARD'
)
MERGE INTO target t
USING source s
ON t.business_date = s.business_date AND t.range_id = s.range_id
WHEN NOT MATCHED BY TARGET THEN INSERT
(business_date,fee_type,fee_total,range_id,total_band_count)
VALUES
(s.business_date,'FEE_LOCAL_CARD', s.fee_total, s.range_id, s.total_band_count)
WHEN MATCHED THEN UPDATE SET
fee_total = #total_mada_local_switch_fee_low
;
The way a MERGE statement works, is that it basically does a FULL JOIN between the source and target tables, using the ON clause to match. It then applies various conditions to the resulting join and executes statements based on them.
There are three possible conditions you can do:
WHEN MATCHED THEN
WHEN NOT MATCHED [BY TARGET] THEN
WHEN NOT MATCHED BY SOURCE THEN
And three possible statements, all of which refer to the target table: UPDATE, INSERT, DELETE (not all are applicable in all cases obviously).
A common problem is that we would only want to consider a subset of a target table. There a number of possible solutions to this:
We could filter the matching inside the WHEN MATCHED clause e.g. WHEN MATCHED AND target.somefilter = #somefilter. This can often cause a full table scan though.
Instead, we put the filtered target table inside a CTE, and then MERGE into that. The CTE must follow Updatable View rules. We must also select all columns we wish to insert or update to. But we must make sure we are fully filtering the target, otherwise if we issue a DELETE then all rows in the target table will get deleted.
Query:
SELECT *
FROM [MemberBackup].[dbo].[OriginalBackup]
where ration_card_id in
(
1247881,174772,
808454,2326154
)
Right now the data is ordered by the auto id or whatever clause I'm passing in order by.
But I want the data to come in sequential format as per id's I have passed
Expected Output:
All Data for 1247881
All Data for 174772
All Data for 808454
All Data for 2326154
Note:
Number of Id's to be passed will 300 000
One option would be to create a CTE containing the ration_card_id values and the orders which you are imposing, and the join to this table:
WITH cte AS (
SELECT 1247881 AS ration_card_id, 1 AS position
UNION ALL
SELECT 174772, 2
UNION ALL
SELECT 808454, 3
UNION ALL
SELECT 2326154, 4
)
SELECT t1.*
FROM [MemberBackup].[dbo].[OriginalBackup] t1
INNER JOIN cte t2
ON t1.ration_card_id = t2.ration_card_id
ORDER BY t2.position DESC
Edit:
If you have many IDs, then neither the answer above nor the answer given using a CASE expression will suffice. In this case, your best bet would be to load the list of IDs into a table, containing an auto increment ID column. Then, each number would be labelled with a position as its record is being loaded into your database. After this, you can join as I have done above.
If the desired order does not reflect a sequential ordering of some preexisting data, you will have to specify the ordering yourself. One way to do this is with a case statement:
SELECT *
FROM [MemberBackup].[dbo].[OriginalBackup]
where ration_card_id in
(
1247881,174772,
808454,2326154
)
ORDER BY CASE ration_card_id
WHEN 1247881 THEN 0
WHEN 174772 THEN 1
WHEN 808454 THEN 2
WHEN 2326154 THEN 3
END
Stating the obvious but note that this ordering most likely is not represented by any indexes, and will therefore not be indexed.
Insert your ration_card_id's in #temp table with one identity column.
Re-write your sql query as:
SELECT a.*
FROM [MemberBackup].[dbo].[OriginalBackup] a
JOIN #temps b
on a.ration_card_id = b.ration_card_id
order by b.id
have identified specific rows based on unique id in the data. I want to update those rows one column. Trying to use update command but its not working
UPDATE L03_A_AVOX_DATA
SET PWC_Exclusion_Flag =
(CASE
WHEN (L03_A_AVOX_DATA.PWC_SEQ_AVOX IN
(SELECT PWC_SEQ_AVOX
FROM L03_A_AVOX_DATA
WHERE client_id IN
(SELECT DISTINCT client_id
FROM ( SELECT DISTINCT
client_id,
extract_type,
COUNT (*)
FROM temp
GROUP BY client_id,
extract_type
HAVING COUNT (*) = 1))
AND extract_type = '0'))
THEN
1
ELSE
L03_A_AVOX_DATA.PWC_Exclusion_Flag
END )
Can anyone help me
You should simplify this statement by trying to simulate an UPDATE with JOIN.
For more details see here:
Update statement with inner join on Oracle
This idea should work for your case too.
So those records which have counterparts in the temp table, you update them.
Those which don't have counterparts - seems you don't want to update them anyway.
You're trying to update the PWC_Exclusion_Flag to 1 if the client_id has exactly 1 record of extract_type 0 in the temp table, am I right?
Try this:
update L03_A_AVOX_DATA
set PWC_Exclusion_Flag = 1
where client_id in (
select client_id
from temp
where extract_type = '0'
group by client_id
having count(1) = 1
);
This also leaves the other records in L03_A_AVOX_DATA untouched.
I have a table serviceClusters with a column identity(1590 values). Then I have another table serviceClustersNew with the columns ID, text and comment. In this table, I have some values for text and comment, the ID is always 1. Here an example for the table:
[1, dummy1, hello1;
1, dummy2, hello2;
1, dummy3, hello3;
etc.]
WhaI want now for the values in the column ID is the continuing index of the table serviceClusters plus the current Row number: In our case, this would be 1591, 1592 and 1593.
I tried to solve the problem like this: First I updated the column ID with the maximum value, then I tryed to add the row number, but this doesnt work:
-- Update ID to the maximum value 1590
UPDATE serviceClustersNew
SET ID = (SELECT MAX(ID) FROM serviceClusters);
-- This command returns the correct values 1591, 1592 and 1593
SELECT ID+ROW_NUMBER() OVER (ORDER BY Text_ID) AS RowNumber
FROM serviceClustersNew
-- But I'm not able to update the table with this command
UPDATE serviceClustersNew
SET ID = (SELECT ID+ROW_NUMBER() OVER (ORDER BY Text_ID) AS RowNumber FROM
serviceClustersNew)
By sending the last command, I get the error "Syntax error: Ordered Analytical Functions are not allowed in subqueries.". Do you have any suggestions, how I could solve the problem? I know I could do it with a volatile table or by adding a column, but is there a way without creating a new table / altering the current table?
You have to rewrite it using UPDATE FROM, the syntax is just a bit bulky:
UPDATE serviceClustersNew
FROM
(
SELECT text_id,
(SELECT MAX(ID) FROM serviceClusters) +
ROW_NUMBER() OVER (ORDER BY Text_ID) AS newID
FROM serviceClustersNew
) AS src
SET ID = newID
WHERE serviceClustersNew.Text_ID = src.Text_ID
You are not dealing with a lot of data, so a correlated subquery can serve the same purpose:
UPDATE serviceClustersNew
SET ID = (select max(ID) from serviceClustersNew) +
(select count(*)
from serviceClustersNew scn2
where scn2.Text_Id <= serviceClustersNew.TextId
)
This assumes that the text_id is unique along the rows.
Apparently you can update a base table through a CTE... had no idea. So, just change your last UPDATE statement to this, and you should be good. Just be sure to include any fields in the CTE that you desire to update.
;WITH cte_TEST AS
( SELECT
ID,
ID+ROW_NUMBER() OVER (ORDER BY TEXT_ID) AS RowNumber FROM serviceClustersNew)
UPDATE cte_TEST
SET cte_TEST.ID = cte_TEST.RowNumber
Source:
http://social.msdn.microsoft.com/Forums/sqlserver/en-US/ee06f451-c418-4bca-8288-010410e8cf14/update-table-using-rownumber-over