Recommendation For Max Insert Commit Size

Jul 10, 2007

The DBA is not around and I would like to see if someone had a good recommendation on what the Maximum insert commit size (MICS) should be for an OLE DB Destination where the default of ZERO is not being used.

I want to use Fast Load and I want to use Redirect Row to catch the errors. I just performed a test where the OLE DB Destination was NOT set to Fast Load - it took FOREVER and I cannot have this kind of performance.

I know that this may be totally dependent on what is being inserted, but is there any problem with just setting this value to say 800,000? -.

The destination SQL database's recovery mode is set to SIMPLE as it is not a transactional database.

Suggestions?? Thx

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Maximum Insert Commit Size

Oct 11, 2006



Hi, All,



if I set the "Maximum insert commit size" to 10 ( 0 is the default) in a OLE destination,

what does the 10 means? 10 records or 10 MB/KB of data?


Thanks

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OLE DB Destination - Fast Load With Maximum Insert Commit Size

Sep 8, 2006

I'm seeing some strange behavior from the OLE DB Destination when using the "fast load" access mode and setting the "Maximum insert commit size".

When I do not set the "Rows per batch" or the "Maximum insert commit size", the package I'm working with inserts 123,070 rows using a single "insert bulk" statement. The data seems to flow through the pipeline until it gets to the OLE DB Destination and then I see a short pause. I'm assuming the pause is from the "insert bulk" statement handling all of the rows at once.

When I set the "Rows per batch" option but leave the "Maximum insert commit size" alone, I generally see the same behavior -- a single "insert bulk" statement that handles all 123,070. In this case, however, the "insert bulk" statement has a "ROWS_PER_BATCH" option appended to the statement that matches the "Rows per batch" setting. This makes sense. I'm assuming the "insert bulk" then "batches" the rows into multiple insert statements (although I'm unsure of how to confirm this). This version of the "insert bulk" statement appears to run in about the same time as the case above.

When I set the "Maximum insert commit size" option and leave the "Rows per batch" statement alone, I see multiple "insert bulk" statements being executed, each handling the lower of either the value I specify for the "Maximum insert commit size" or the number of rows in a single buffer flowing through the pipeline. In my testing, the number of rows in a buffer was 9,681. So, if I set the "Maximum insert commit size" to 5,000, I see two "insert bulk" statements for each buffer that flows into the OLE DB Destination (one handling 5,000 rows and one handling 4,681 rows). If I set the "Maximum insert commit size" to 10,000, I see a single "insert bulk" statement for each buffer that flows into the OLE DB Destination (handling 9,681 rows).

Now the problem. When I set the "Maximum insert commit size" as described in the last case above, I see LONG pauses between buffers being handled by the OLE DB Destination. For example, I might see one buffer of data flow through (and be handled by one or more "insert bulk" statements based on the "Maximum insert commit size" setting), then see a 2-3 minute pause before the next buffer of data is handled (with its one or more "insert bulk" statements being executed). Then I might see a 4-5 minute pause before the next buffer of data is handled. The pause between the buffers being passed through the OLE DB Destination (and handled via the "insert bulk" statements) is sometimes shorter, sometimes longer.

Using Profiler, I don't see any other activity going on within the database or within SQL Server itself that would explain the pauses between the buffers being handled by the OLE DB Destination and the resulting "insert bulk" statements...

Can anyone explain what is going on here? Is setting the "Maximum insert commit size" a bad idea? What are the differences between it and the "Rows per batch" setting and what are the recommended uses of these two options to try to improve the performance of the insert (particularly when handling millions of rows)?

TIA for any thoughts or information...

Dave Fackler

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Hi,

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We are using default isolation level. We have tried using getdate(), current_timestamp and even {fn Now()} with the same results. SQL Queries that reproduce the problem are provided below:


/* Different functions to get current timestamp €“ all have been tested to produce the same results */
/*
SELECT GETDATE()
GO
SELECT CURRENT_TIMESTAMP
GO
SELECT {fn Now()}
GO
*/
/* Use these statements to delete the tables to allow recreate of the tables */
/*
DROP TABLE COMMIT_TEST
DROP TABLE COMMIT_TEST_UPDATE
*/
/* Create a primary table and an UPDATE table to store the date/time when the primary table is modified */
CREATE TABLE dbo.COMMIT_TEST (PKEY int PRIMARY KEY, timestamp) /* ROW_VERSION rowversion */
GO
CREATE TABLE dbo.COMMIT_TEST_UPDATE (PKEY int PRIMARY KEY, LAST_UPDATE datetime, timestamp ) /* ROW_VERSION rowversion */
GO
/* Use these statements to delete the triggers to allow reinsert */
/*
drop trigger LOG_COMMIT_TEST_INSERT
drop trigger LOG_COMMIT_TEST_UPDATE
drop trigger LOG_COMMIT_TEST_DELETE
*/
/* Create insert, update and delete triggers */
create trigger LOG_COMMIT_TEST_INSERT on COMMIT_TEST for INSERT as
begin
declare @time datetime
select @time = getdate()

insert into COMMIT_TEST_UPDATE (PKEY,LAST_UPDATE)
select PKEY, getdate()
from inserted
end
GO
create trigger LOG_COMMIT_TEST_UPDATE on COMMIT_TEST for UPDATE as
begin
declare @time datetime
select @time = getdate()

update COMMIT_TEST_UPDATE
set LAST_UPDATE = getdate()
from COMMIT_TEST_UPDATE, deleted, inserted
where COMMIT_TEST_UPDATE.PKEY = deleted.PKEY
end
GO
/* In our application deletes should never occur so we don€™t log when they get modified we just delete them from the UPDATE table */
create trigger LOG_COMMIT_TEST_DELETE on COMMIT_TEST for DELETE as
begin
if ( select count(*) from deleted ) > 0
begin
delete COMMIT_TEST_UPDATE
from COMMIT_TEST_UPDATE, deleted
where COMMIT_TEST_UPDATE.PKEY = deleted.PKEY
end
end
GO
/* Delete any previous inserted record to avoid errors when inserting */
DELETE COMMIT_TEST WHERE PKEY = 1
GO
/* What is the current date/time */
SELECT GETDATE()
GO
BEGIN TRANSACTION
GO
/* Insert a record into the primary table */
INSERT COMMIT_TEST (PKEY) VALUES (1)
GO
/* Simulate additional processing within this transaction */
WAITFOR DELAY '00:00:10'
GO
/* We expect at this point that the date is written to the database (or at least we need some way for this to happen) */
COMMIT TRANSACTION
GO
/* get the current date to show us what date/time should have been committed to the database */
SELECT GETDATE()
GO
/* Select results from the table €“ we see that the timestamp is 10 seconds older than the commit, in other words it was evaluated at */
/* the insert statement, even though the row could not be read with a SELECT as it was uncommitted */
SELECT * FROM COMMIT_TEST
GO
SELECT * FROM COMMIT_TEST_UPDATE


Any help would be appreciated, we understand we could make changes to the application/database to approximate what we need, but all the solutions have identified suffer from possible performance issues, or could still lead to missing deals (assuming the commit time is larger than some artifical time window).

Regards,

Mark

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