Can someone please tell me what is wrong with this insert statement?
I am trying to insert new rows into the USERS_AND_USAGE_STG2 table, from PERMS_STG2 table, if the combination of USER_ID, OBJECT, and DATE is not already present.
The USERS_AND_USAGE_STG2 has a unique key of DATE, USER_ID & OBJECT.
When I run the statement below, it errors with "INSERT Failed. 2801: Duplicate unique prime key error in....."
**I realize that Staging tables usually don't have Unique Keys, but it is telling me that my "Insert if not exists" isn't working correctly.
INSERT INTO WORK1.USERS_AND_USAGE_STG2
(EFF_DT
,USER_ID
,SP_ADDED_DT
,OBJECT
,ACCESS_IS_ACTIVE)
SELECT
EFF_DT
,USER_ID
,EFF_DT
,COMBO_NAME
,'Y'
FROM WORK1.PERMS_STG2 P
WHERE NOT EXISTS (SELECT USER_ID, OBJECT
FROM WORK1.USERS_AND_USAGE_STG2
WHERE USER_ID = P.USER_ID
AND OBJECT = P.COMBO_NAME
AND EFF_DT = P.EFF_DT);
The code above is/was correct. I had a problem with my source data. #JNevill deserves the credit for pointing that out.
Related
I have a problem I have been working on the past several hours. It is complex (for me) and I don't expect someone to do it for me. I just need the right direction.
Problem: We had the tables (below) added to our database and I need to update them based off of data already in our DailyCosts table. The tricky part is that I need to take DailyCosts.Notes and move it to PurchaseOrder.PoNumber. Notes is where we currenlty have the PONumbers.
I started with the Insert below, testing it out on one WellID. This is Inserting records from our DailyCosts table to the new PurchaseOrder table:
Insert Into PurchaseOrder (PoNumber,WellId,JObID,ID)
Select Distinct Cast(Notes As nvarchar(20)), WellID, JOBID,
DailyCosts.DailyCostID
From DailyCosts
Where WellID = '24A-23'
It affected 1973 rows (The Notes are in Ntext)
However, I need to update the other new tables because we need to see the actual PONumbers in the application.
This next Insert is Inserting records from our DailyCost table and new PurchaseOrder table (from above) to a new table called PurchaseOrderDailyCost
Insert Into PurchaseOrderDailyCost (WellID, JobID, ReportNo, AccountCode, PurchaseOrderID,ID,DailyCostSeqNo, DailyCostID)
Select Distinct DailyCosts.WellID,DailyCosts.JobID,DailyCosts.ReportNo,DailyCosts.AccountCode,
PurchaseOrder.ID,NEWID(),0,DailyCosts.DailyCostID
From DailyCosts join
PurchaseOrder ON DailyCosts.WellID = PurchaseOrder.WellID
Where DailyCosts.WellID = '24A-23'
Unfortunately, this produces 3,892,729 records. The Notes field contains the same list of PONumbers each day. This is by design so that the people inputting the data out in the field can easily track their PO numbers. The new PONumber column that we are moving the Notes to would store just unique POnumbers. I modified the query by replacing NEWID() with DailyCostID and the Join to ON DailyCosts.DailyCostID = PurchaseOrder.ID
This affected 1973 rows the same as the first Insert.
The next Insert looks like this:
Insert Into PurchaseOrderAccount (WellID, JobID, PurchaseOrderID, ID, AccountCode)
Select PurchaseOrder.WellID, PurchaseOrder.JobID, PurchaseOrder.ID, PurchaseOrderDailyCost.DailyCostID,PurchaseOrderDailyCost.AccountCode
From PurchaseOrder Inner Join
PurchaseOrderDailyCost ON PurchaseOrder.ID = PurchaseOrderDailyCost.DailyCostID
Where PurchaseOrder.WellID = '24A-23'
The page in the application now shows the PONumbers in the correct column. Everything looks like I want it to.
Unfortunately, it slows down the application to an unacceptable level. I need to figure out how to either modify my Insert or delete duplicate records. The problem is that there are multiple foreign key constraints. I have some more information below for reference.
This shows the application after the inserts. These are all duplicate records that I am hoping to elminate
Here is some additional information I received from the vendor about the tables:
-- add a new purchase order
INSERT INTO PurchaseOrder
(WellID, JobID, ID, PONumber, Amount, Description)
VALUES ('MyWell', 'MyJob', NEWID(), 'PO444444', 500.0, 'A new Purchase Order')
-- link a purchase order with id 'A356FBF4-A19B-4466-9E5C-20C5FD0E95C3' to a DailyCost record with SeqNo 0 and AccountCode 'MyAccount'
INSERT INTO PurchaseOrderDailyCost
(WellID, JobID, ReportNo, AccountCode, DailyCostSeqNo, PurchaseOrderID, ID)
VALUES ('MyWell', 'MyJob', 4, 'MyAccount', 0, 'A356FBF4-A19B-4466-9E5C-20C5FD0E95C3', NEWID())
-- link a purchase order with id 'A356FBF4-A19B-4466-9E5C-20C5FD0E95C3' to an account code 'MyAccount'
-- (i.e. make it choosable from the DailyCost PO-column dropdown for any DailyCost record whose account code is 'MyAccount')
INSERT INTO PurchaseOrderAccount
(WellID, JobID, PurchaseOrderID, ID, AccountCode)
VALUES ('MyWell', 'MyJob', 'A356FBF4-A19B-4466-9E5C-20C5FD0E95C3', NEWID(), 'MyAccount')
-- link a purchase order with id 'A356FBF4-A19B-4466-9E5C-20C5FD0E95C3' to an AFE No. 'MyAFENo'
-- (same behavior as with the account codes above)
INSERT INTO PurchaseOrderAFE
(WellID, JobID, PurchaseOrderID, ID, AFENo)
VALUES ('MyWell', 'MyJob', 'A356FBF4-A19B-4466-9E5C-20C5FD0E95C3', NEWID(), 'MyAFENo')
So it turns out I missed some simple joining principles. The better I get the more silly mistakes I seem to make. Basically, on my very first insert, I did not include a Group By. Adding this took my INSERT from 1973 to 93. Then on my next insert, I joined DailyCosts.Notes on PurchaseOrder.PONumber since these are the only records from DailyCosts I needed. This was previously INSERT 2 on my question. From there basically, everything came together. Two steps forward an one step back. Thanks to everyone that responded to this.
I am trying to perform incremental insert from staging table (cust_reg_dim_stg) to the warehouse table (dim_cust_reg). This is the query I am using.
insert into dim_cust_reg WITH(TABLOCK)
(
channel_id
,cust_reg_id
,cust_id
,status
,date_created
,date_activated
,date_archived
,custodian_id
,reg_type_id
,reg_flags
,acc_name
,acc_number
,sr_id
,sr_type
,as_of_date
,ins_timestamp
)
select channel_id
,cust_reg_id
,cust_id
,status
,date_created
,date_activated
,date_archived
,reg_type_id
,reg_flags
,acc_name
,acc_number
,sr_id
,sr_type
,as_of_date
,getdate() ins_timestamp
from umpdwstg..cust_reg_dim_stg stg with(nolock)
join lookup_channel ch with(nolock) on stg.channel_name = ch.channel_name
where not exists
(select * from dim_cust_reg dest
where dest.cust_reg_id=stg.cust_reg_id
and dest.sr_id=stg.sr_id
and dest.channel_id=ch.channel_id )
Here channel_id is not there in the staging table and is taken using a channel lookup table (lookup_channel). On running this query I am getting the following error.
Violation of PRIMARY KEY constraint 'PK__dim_cust__4A293521A789A5FA'.
Cannot insert duplicate key in object 'dbo.dim_cust_reg'.
What is wrong with the query? channel_id,sr_id and cust_reg_id forms the unique key combination. There seems to be no data error.
There are 2 areas where you will need to troubleshoot:-
In this code below:
join lookup_channel ch with(nolock) on stg.channel_name = ch.channel_name
The incoming channel_name in the staging table may have a different channel name as compared to the record in the destination dimension.
OR
it may be because of this join condition inside the NOT EXISTS condition:
and dest.sr_id=stg.sr_id
and dest.channel_id=ch.channel_id
Here, again the incoming channel_id may be different when you compare the staged data to the one in the destination. So, suggestion is to ignore the channel id once and try to troubleshoot. Once this data is loaded in the target you can get the exact reason whether error was because of the channel_id.
Happy troubleshooting!
If there is already a duplicate entries in the table - custr_regr_dim_stg - then the SELECT query will produce both those records and will try to insert the same into the dim_cust_reg table. So use DISTINCT in the SELECT statement.
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.
I caught this query on the slowquerys log.
SELECT GREATEST( IFNULL(`twk-status`.`status`,0) , `groups`.`status`)
FROM `groups`
LEFT JOIN `twk-status` ON
(`twk-status`.`groupID` = `groups`.`ID`
AND `twk-status`.`startdate` <= FROM_UNIXTIME(1317204000)
AND `twk-status`.`enddate` >= FROM_UNIXTIME(1317204000)
AND ISNULL(`twk-status`.`deleted`)
AND `twk-status`.`groupID` = 11)
WHERE `groups`.`ID` = 11;
I ran the query using EXPLAIN producing the following report:
id table possible_keys key
1 twk-status groupID,groupID_2,enddate NULL
1 groups PRIMARY PRIMARY
This mean that mysql didn't used any of the three possible keys for twk-status table. Correct?
Here's the keys from twk-status
groupID (groupID)
groupID_2 (groupID, startdate, enddate, deleted)
enddate (enddate, createdate, deleted)
The query uses groupID, startdate, enddate, deleted I thought groupID_2 whould be the key.
Or is this a query problem and not a index problem?
Thanks in advanced.
From your explain I can judge that the order or tables is swapped.
For each record from twk-status a corresponding record from groups is being searched, since you have a PRIMARY KEY join condition among the others (twk-status.groupID = groups.ID)
However, I'm almost sure that there is something wrong with this EXPLAIN, because MySQL is not able to swap the order for LEFT JOIN.
Could you please post the exact output of EXPLAIN?
Update:
When building the plans, MySQL checks existence of constant values searched in indexed fields.
Some of these checks failed. It's impossible to tell which exactly, but you either don't have groupID = 11 in twk-status or a record with enddate >= FROM_UNIXTIME(1317204000).
MySQL just replaced the whole join with an empty row value for twk-status, and will return it along with the data for group with groupID = 11.
This is my Insert Statement
INSERT INTO ProductStore (ProductID, StoreID, CreatedOn)
(SELECT DISTINCT(ProductId), 1, GETDATE() FROM ProductCategory
WHERE EXISTS (SELECT StoreID, EntityID FROM EntityStore
WHERE EntityType = 'Category' AND ProductCategory.CategoryID = EntityStore.EntityID AND StoreID = 1))
I am trying to Insert into table ProductStore, all the Products Which are mapped to Categories that are mapped to Store 1. Column StoreID can definitely have more than one row with the same entry. And I am getting the following error: Violation of Primary Key Constraint...
However, the Following query does work:
INSERT INTO ProductStore (ProductID, StoreID, CreatedOn)
VALUES (2293,1,GETDATE()),(2294,1,GETDATE())
So apparently, the ProductID Column is trying to insert the same one more than once.
Can you see anything wrong with my query?
TIA
I don't see any part of that query that excludes records already in the table.
Take out the INSERT INTO statement and just run the SELECT - you should be able to spot pretty quickly where the duplicates are.
My guess is that you're slightly mistaken about what SELECT DISTINCT actually does, as evidenced by the fact that you have parentheses around the ProductId. SELECT DISTINCT only guarantees the elimination of duplicates when all columns in the select list are the same. It won't guarantee in this case that you only get one row for each ProductId.
select distinct productid is selecting an existing ID and therefor in violation with your primary key constraint.
Why don't you create the primary key using Identity increment? In that case you don't need to worry about the ID itself, it will be generated for you.