I have a table that I would like to update one column data on every nth row if it meets row requirement.
My table has many columns but the key are Object_Id (in case this could be useful for creating temp table)
But the one I'm trying to update is online_status, it looks like below, but on bigger scales so I usually have 10rows that has same time but they all have %Online% in it and in total around 2000 rows (with Online and about another 2000 with Offline). I just need to update every 2-4 rows of those 10 that are repeating itself.
Table picture here: (for some reason table formatting doesn't come up good)
Table
So what I tried is: This pulls a list of every 3rd record that matches criteria Online, I just need a way to update it but can't get through this.
SELECT * FROM (SELECT *, row_number() over() rn FROM people
WHERE online_status LIKE '%Online%') foo WHERE online_status LIKE '%Online%' AND foo.rn % 3 =0
What I also tried is:
However this has updated every single row. not the ones I needed.
UPDATE people
SET online_status = 'Offline 00:00-24:00'
WHERE people.Object_id IN
(SELECT *
FROM
(SELECT people.Object_id, row_number() over() rn FROM people
WHERE online_status LIKE '%Online%') foo WHERE people LIKE '%Online%' AND foo.rn % 3 =0);
Is there a way to take list from Select code above and simply update it or run a few scripts that could add it to like temp table and store object ids, and the next script would update main table if object id would match temp table.
Thank you for any help :)
Don't select other columns but Object_id in the subquery at WHERE people.Object_id IN (..)
UPDATE people
SET online_status = 'Offline 00:00-24:00'
WHERE Object_id IN
( SELECT Object_id
FROM
( SELECT p.Object_id, row_number() over() rn
FROM people p
WHERE p.online_status LIKE '%Online%') foo
WHERE foo.rn % 3 = 0
);
I have a table, call it widgets which has columns name and created_at, among others. I want to run a query that returns the count of all the rows of widgets which share the same name and have been created within a millisecond of each other.
This is the query that I have come up with, but it returns a number greater than the total number of rows in the table, can someone point out where I am going wrong?
SELECT COUNT (DISTINCT "t1"."id")
FROM
"tasks" "t1" ,"tasks" "t2"
WHERE
"t1"."name" = "t2"."name"
AND
date_trunc('milliseconds',"t1"."created_at") = date_trunc('milliseconds',"t2"."created_at")
You should add the condition:
and "t1"."id" <> "t2"."id"
where "id" is a primary key. In the lack of a primary key you can use ctid:
and "t1".ctid <> "t2".ctid
Here want to delete rows with a duplicated column's value (Product) which will be then used as a primary key.
The column is of type nvarchar and we don't want to have 2 rows for one product.
The database is a large one with about thousands rows we need to remove.
During the query for all the duplicates, we want to keep the first item and remove the second one as the duplicate.
There is no primary key yet, and we want to make it after this activity of removing duplicates.
Then the Product columm could be our primary key.
The database is SQL Server CE.
I tried several methods, and mostly getting error similar to :
There was an error parsing the query. [ Token line number = 2,Token line offset = 1,Token in error = FROM ]
A method which I tried :
DELETE FROM TblProducts
FROM TblProducts w
INNER JOIN (
SELECT Product
FROM TblProducts
GROUP BY Product
HAVING COUNT(*) > 1
)Dup ON w.Product = Dup.Product
The preferred way trying to learn and adjust my code with something similar
(It's not correct yet):
SELECT Product, COUNT(*) TotalCount
FROM TblProducts
GROUP BY Product
HAVING COUNT(*) > 1
ORDER BY COUNT(*) DESC
--
;WITH cte -- These 3 lines are the lines I have more doubt on them
AS (SELECT ROW_NUMBER() OVER (PARTITION BY Product
ORDER BY ( SELECT 0)) RN
FROM Word)
DELETE FROM cte
WHERE RN > 1
If you have two DIFFERENT records with the same Product column, then you can SELECT the unwanted records with some criterion, e.g.
CREATE TABLE victims AS
SELECT MAX(entryDate) AS date, Product, COUNT(*) AS dups FROM ProductsTable WHERE ...
GROUP BY Product HAVING dups > 1;
Then you can do a DELETE JOIN between ProductTable and Victims.
Or also you can select Product only, and then do a DELETE for some other JOIN condition, for example having an invalid CustomerId, or EntryDate NULL, or anything else. This works if you know that there is one and only one valid copy of Product, and all the others are recognizable by the invalid data.
Suppose you instead have IDENTICAL records (or you have both identical and non-identical, or you may have several dupes for some product and you don't know which). You run exactly the same query. Then, you run a SELECT query on ProductsTable and SELECT DISTINCT all products matching the product codes to be deduped, grouping by Product, and choosing a suitable aggregate function for all fields (if identical, any aggregate should do. Otherwise I usually try for MAX or MIN). This will "save" exactly one row for each product.
At that point you run the DELETE JOIN and kill all the duplicated products. Then, simply reimport the saved and deduped subset into the main table.
Of course, between the DELETE JOIN and the INSERT SELECT, you will have the DB in a unstable state, with all products with at least one duplicate simply disappeared.
Another way which should work in MySQL:
-- Create an empty table
CREATE TABLE deduped AS SELECT * FROM ProductsTable WHERE false;
CREATE UNIQUE INDEX deduped_ndx ON deduped(Product);
-- DROP duplicate rows, Joe the Butcher's way
INSERT IGNORE INTO deduped SELECT * FROM ProductsTable;
ALTER TABLE ProductsTable RENAME TO ProductsBackup;
ALTER TABLE deduped RENAME TO ProductsTable;
-- TODO: Copy all indexes from ProductsTable on deduped.
NOTE: the way above DOES NOT WORK if you want to distinguish "good records" and "invalid duplicates". It only works if you have redundant DUPLICATE records, or if you do not care which row you keep and which you throw away!
EDIT:
You say that "duplicates" have invalid fields. In that case you can modify the above with a sorting trick:
SELECT * FROM ProductsTable ORDER BY Product, FieldWhichShouldNotBeNULL IS NULL;
Then if you have only one row for product, all well and good, it will get selected. If you have more, the one for which (FieldWhichShouldNeverBeNull IS NULL) is FALSE (i.e. the one where the FieldWhichShouldNeverBeNull is actually not null as it should) will be selected first, and inserted. All others will bounce, silently due to the IGNORE clause, against the uniqueness of Product. Not a really pretty way to do it (and check I didn't mix true with false in my clause!), but it ought to work.
EDIT
actually more of a new answer
This is a simple table to illustrate the problem
CREATE TABLE ProductTable ( Product varchar(10), Description varchar(10) );
INSERT INTO ProductTable VALUES ( 'CBPD10', 'C-Beam Prj' );
INSERT INTO ProductTable VALUES ( 'CBPD11', 'C Proj Mk2' );
INSERT INTO ProductTable VALUES ( 'CBPD12', 'C Proj Mk3' );
There is no index yet, and no primary key. We could still declare Product to be primary key.
But something bad happens. Two new records get in, and both have NULL description.
Yet, the second one is a valid product since we knew nothing of CBPD14 before now, and therefore we do NOT want to lose this record completely. We do want to get rid of the spurious CBPD10 though.
INSERT INTO ProductTable VALUES ( 'CBPD10', NULL );
INSERT INTO ProductTable VALUES ( 'CBPD14', NULL );
A rude DELETE FROM ProductTable WHERE Description IS NULL is out of the question, it would kill CBPD14 which isn't a duplicate.
So we do it like this. First get the list of duplicates:
SELECT Product, COUNT(*) AS Dups FROM ProductTable GROUP BY Product HAVING Dups > 1;
We assume that: "There is at least one good record for every set of bad records".
We check this assumption by positing the opposite and querying for it. If all is copacetic we expect this query to return nothing.
SELECT Dups.Product FROM ProductTable
RIGHT JOIN ( SELECT Product, COUNT(*) AS Dups FROM ProductTable GROUP BY Product HAVING Dups > 1 ) AS Dups
ON (ProductTable.Product = Dups.Product
AND ProductTable.Description IS NOT NULL)
WHERE ProductTable.Description IS NULL;
To further verify, I insert two records that represent this mode of failure; now I do expect the query above to return the new code.
INSERT INTO ProductTable VALUES ( "AC5", NULL ), ( "AC5", NULL );
Now the "check" query indeed returns,
AC5
So, the generation of Dups looks good.
I proceed now to delete all duplicate records that are not valid. If there are duplicate, valid records, they will stay duplicate unless some condition may be found, distinguishing among them one "good" record and declaring all others "invalid" (maybe repeating the procedure with a different field than Description).
But ay, there's a rub. Currently, you cannot delete from a table and select from the same table in a subquery ( http://dev.mysql.com/doc/refman/5.0/en/delete.html ). So a little workaround is needed:
CREATE TEMPORARY TABLE Dups AS
SELECT Product, COUNT(*) AS Duplicates
FROM ProductTable GROUP BY Product HAVING Duplicates > 1;
DELETE ProductTable FROM ProductTable JOIN Dups USING (Product)
WHERE Description IS NULL;
Now this will delete all invalid records, provided that they appear in the Dups table.
Therefore our CBPD14 record will be left untouched, because it does not appear there. The "good" record for CBPD10 will be left untouched because it's not true that its Description is NULL. All the others - poof.
Let me state again that if a record has no valid records and yet it is a duplicate, then all copies of that record will be killed - there will be no survivors.
To avoid this can may first SELECT (using the query above, the check "which should return nothing") the rows representing this mode of failure into another TEMPORARY TABLE, then INSERT them back into the main table after the deletion (using transactions might be in order).
Create a new table by scripting the old one out and renaming it. Also script all objects (indexes etc..) from the old table to the new. Insert the keepers into the new table. If you're database is in bulk-logged or simple recovery model, this operation will be minimally logged. Drop the old table and then rename the new one to the old name.
The advantage of this over a delete will be that the insert can be minimally logged. Deletes do double work because not only does the data get deleted, but the delete has to be written to the transaction log. For big tables, minimally logged inserts will be much faster than deletes.
If it's not that big and you have some downtime, and you have Sql Server Management studio, you can put an identity field on the table using the GUI. Now you have the situation like your CTE, except the rows themselves are truly distinct. So now you can do the following
SELECT MIN(table_a.MyTempIDField)
FROM
table_a lhs
join table_1 rhs
on lhs.field1 = rhs.field1
and lhs.field2 = rhs.field2 [etc]
WHERE
table_a.MyTempIDField <> table_b.MyTempIDField
GROUP BY
lhs.field1, rhs.field2 etc
This gives you all the 'good' duplicates. Now you can wrap this query with a DELETE FROM query.
DELETE FROM lhs
FROM table_a lhs
join table_b rhs
on lhs.field1 = rhs.field1
and lhs.field2 = rhs.field2 [etc]
WHERE
lhs.MyTempIDField <> rhs.MyTempIDField
and lhs.MyTempIDField not in (
SELECT MIN(lhs.MyTempIDField)
FROM
table_a lhs
join table_a rhs
on lhs.field1 = rhs.field1
and lhs.field2 = rhs.field2 [etc]
WHERE
lhs.MyTempIDField <> rhs.MyTempIDField
GROUP BY
lhs.field1, lhs.field2 etc
)
Try this:
DELETE FROM TblProducts
WHERE Product IN
(
SELECT Product
FROM TblProducts
GROUP BY Product
HAVING COUNT(*) > 1)
This suffers from the defect that it deletes ALL the records with a duplicated Product. What you probably want to do is delete all but one of each group of records with a given Product. It might be worthwhile to copy all the duplicates to a separate table first, and then somehow remove duplicates from that table, then apply the above, and then copy remaining products back to the original table.
enter code here
My problem is this: in this database the junction table contains some rows where the kha_id and the icd_fk are the same. While it's OK that kha_id appears in icd_junction more than once , it has to be with a separate icd_fk. I can run a query and get all of the ID#s and the codes which are listed more than once, but is there an industry-standard way of going about deleting all but one occurrence of each?
example: what i have is above
KHA_ID: 123456 V23
123456 V23
123456 V24
I need one of the rows kha_id=123456 and ICD_FK=V23 taken out.
This:
DELETE j1
FROM ICD_Junction AS j1
WHERE EXISTS
( SELECT 1
FROM ICD_Junction AS j2
WHERE j2.KHA_ID = j1.KHA_ID
AND j2.ICD_FK = j1.ICD_FK
AND j2.ID < j1.ID
)
;
will delete, for each KHA_ID and ICD_FK, all but one relevant row of ICD_Junction. (Specifically, it will keep the one with the least ID, and delete the rest.)
Once you've run the above, you should fix whatever code caused the duplication, and add a unique constraint to prevent this from happening again.
(Disclaimer: Not tested, and it's been a while since I last used SQL Server.)
Edited to add: If I'm understanding your comment correctly, you also need help with the query to find duplicates? For that, you can write:
SELECT KHA_ID,
ICD_FK,
COUNT(1) -- the number of duplicates
FROM ICD_Junction
GROUP
BY KHA_ID,
ICD_FK
HAVING COUNT(1) > 1
;
The original question was delete but the comment was find
Select jDup.*
FROM ICD_Junction AS j
JOIN ICD_Junction AS jDup
On j.KHA_ID = jDup.KHA_ID
AND j.ICD_FK = jDup.ICD_FK
AND j.ID < jDup.ID
Select max(jDup.ID), min(jDup.ID), count(*), jDup.KHA_ID, jDup.ICD_FK
FROM ICD_Junction AS jDup
Group By jDup.KHA_ID, jDup.ICD_FK
Having Count(*) > 1
You want something that uses ROW_NUMBER() and partition by. The reason is that it will let you pick one row to keep from a table that doesn't have a unique id. Like if this was a pure intersection table with no identity, you could use a variation on this to delete all rows where RowID > 1, leaving you just the unique rows. And it works just as well when you do have a unique id, where you can choose to preserve the earliest id.
select * from (select KHA_ID, ICD_FK, ROW_NUMBER()
OVER(PARTITION BY KHA_ID, ICD_FK
ORDER BY ID ASC) AS RowID
from ICD_Junction ) ordered where RowID > 1
i have a table that somehow got duplicated. i basically want to delete all records that are duplicates, which is defined by a field in my table called SourceId. There should only be one record for each source ID.
is there any SQL that i can write that will delete every duplicate so i only have one record per Sourceid ?
Assuming you have a column ID that can tie-break the duplicate sourceid's, you can use this. Using min(id) causes it to keep just the min(id) per sourceid batch.
delete from tbl
where id NOT in
(
select min(id)
from tbl
group by sourceid
)
delete from table
where pk in (
select i2.pk
from table i1
inner join table i2
on i1.SourceId = i2.SourceId
)
good practice is to start with
select * from … and only later replace to delete from …