We have on_error = 'continue;' or validation_mode = 'RETURN_100_ROWS' for COPY INTO
Similarly do we have the same option for INERT INTO also.
Im afraid INSERT does not have any error detection mechanism as Copy Into. In Insert you are explicitly passing the values to a Table, hence you have the context of what values you are inserting as compared to Copy Into, where bulk load into table happens.
Related
I am facing a timeout issue.
Basically, I move data from source to target using copy data activity and the Table has 600k rows.
I use upsert instead of the insert because I want to check if the same data is present then the data does not move but I am facing a time issue.
Below is the error
Since UPSERT = INSERT + UPDATE , if I was you I could have investigated this by
Checking if INSERT works . Take one dummy row which does not exist on the DB and see if this work . If it does not then it means that neither UPDATE or INSERT works . I will try to SELECT IN a lookup to check if the any data is accessable from ADF.
2.If INSERT works but UPDATE fails , I will connect to the DB may be using may be SSMS and try to see if somethng like
SELECT * from yourTable where id = {someexistid}
If this timesout , you may have to create a INDEX ON the table ( may be )
There is a timeout setting on the copy activity and you can try to see if increasing that helps .
I'm interested in figuring out how to copy a row of data from an old column to a new column within the same table. This would be individually done during a trigger procedure, not something like UPDATE table SET columnB = columnA.
To try to clarify, table1.column1.row3 -> table1.column2.row3 if an INSERT or UPDATE statement is executed upon table1.column1.row3.
Have your trigger assign
NEW.column1 := NEW.column2
I have a DB2 stored procedure and trigger which are doing set of insertions.Some of these insert statements might already be present in the table. I am trying to avoid checking for the row before every insert as I believe it might add on to the processing overhead.
I am trying to find out the DB2 equivalent for 'ignore_dup_row' index attribute which is provided by Sybase. If there is no DB2 equivalent for this what else are the viable options to ignore transaction rollbacks when trying to perform a duplicate insert.
Use a merge statement:
merge into t as x
using (
values (...) -- new row
) y (c1, c2, ..., cn)
on x.[key] = y.[key]
when not matched then
insert (c1,c2,...cn) values (y.c1,y.c2,...y.cn);
If you are inserting rows one by one you can also include a continue handler for '23505' in your stored procedure.
Today I have a bulk insert from fixed width file like this:
BULK INSERT #TBF8DPR501
FROM 'C:\File.txt' WITH (
FORMATFILE = 'C:\File.txt.xml'
,ROWTERMINATOR = '\n'
)
The format file is just to set the width of each field, and after the bulk insert into the temp table, I crated an INSERT INTO X SELECT FROM temp to convert some columns that the bulk cannot convert.
My question is, is it possible to make the bulk insert be able to convert values such as:
Date in format dd.MM.yyyy OR ddMMyyyy
Decimal values like this 0000000000010022 (where it is 100.22)
Without the need to make the bulk insert into a temp table to convert the values?
No, it isn't: BULK INSERT simply copies data as fast as possible, it doesn't transform the data in any way. Your current solution with a temp table is a very common one used in data warehousing and reporting scenarios, so if it works the way you want I would just keep using it.
If you do want to do the transformation during the load, then you could use an ETL tool such as SSIS. But there is nothing wrong with your current approach and SSIS would be a very 'heavy' alternative.
I want to insert multiple records (~1000) using C# and SQL Server 2000 as a datatabase but before inserting how can I check if the record i'm inserting already exists and if so the next record should be inserted. The records are coming from a structured excel file then I load them in a generic collection and iterate through each item and perform insert like this
// Insert records into database
private void insertRecords() {
try {
// iterate through all records
// and perform insert on each iteration
for (int i = 0; i < names.Count; i++) {
sCommand.Parameters.AddWithValue("#name", Names[i]);
sCommand.Parameters.AddWithValue("#person", ContactPeople[i]);
sCommand.Parameters.AddWithValue("#number", Phones[i]);
sCommand.Parameters.AddWithValue("#address", Addresses[i]);
// Open the connection
sConnection.Open();
sCommand.ExecuteNonQuery();
sConnection.Close();
}
} catch (SqlException ex) {
throw ex;
}
}
This code uses a stored procedure to insert the records but I can check the record before inserting?
Inside your stored procedure, you can have a check something like this (guessing table and column names, since you didn't specify):
IF EXISTS(SELECT * FROM dbo.YourTable WHERE Name = #Name)
RETURN
-- here, after the check, do the INSERT
You might also want to create a UNIQUE INDEX on your Name column to make sure no two rows with the same value exist:
CREATE UNIQUE NONCLUSTERED INDEX UIX_Name
ON dbo.YourTable(Name)
The easiest way would probably be to have an inner try block inside your loop. Catch any DB errors and re-throw them if they are not a duplicate record error. If it is a duplicate record error, then don't do anything (eat the exception).
Within the stored procedure, for the row to be added to the database, first check if the row is present in the table. If it is present, UPDATE it, otherwise INSERT it. SQL 2008 also has the MERGE command, which essentially moshes update and insert together.
Performance-wise, RBAR (row-by-agonizing-row) is pretty inefficient. If speed is an issue, you'd want to look into the various "insert a lot of rows all at once" procsses: BULK INSERT, the bcp utility, and SSIS packages. You still have the either/or issue, but at least it'd perform better.
Edit:
Bulk inserting data into an empty table is easy. Bulk inserting new data in a non-empty table is easy. Bulk inserting data into a table where some of the data (as, presumably, defined by the primary key) is already present is tricky. Alas, the specific steps get detailed quickly and are very dependent upon your system, code, data structures, etc. etc.
The general steps to follow are:
- Create a temporary table
- Load the data into the temporary table
- Compare the contents of the temporary table with those of the target table
- Where they match (old data), UPDATE
- Where they don't match (new data), INSERT
I did a quick search on SO for other posts that covered this, and stumbled across something I'd never thought of. Try this; not only would it work, its elegant.
Does your table have a primary key? If so you should be able to check that the key value to be inserted is not already in the table.