In merge replication we often replicate several related tables. Imagine if we were replicating the following 3 tables:
Now it might be that we declare a filter and join filters as follows in the publication:
Notice that the relationship of the filters is opposite to the direction of the foreign keys. This makes business sense in some cases (another post on this later). Anyway, if this is the sort of scenario you have then beware that some data changes won’t propagate. If for example on the subscriber I delete 3 related records:
delete tStaff where staffname = ‘PaulSmith’
delete tDepartment where departmentname = ‘Finance’
delete tCompany where where CompanyName = ‘IBM’
When synchronizing back to the publisher the tCompany record will not be deleted. No error in the replication monitor but there is mention of a “retry”. Further syncs don’t mention the retry and still the tCompany record remains. This is a bug/issue that has existed from SQL 2005 through to SQL 2016. What we need to do is reset the Precompute partitions option. By default it is set to true and we reset it to false. This will cause a snapshot to be created so if you are going to have this type of filter setup remember to do this at the beginning before initialization.
Suppose there are some rows at the publisher which are not at the subscriber. Or vice versa. This is after a successful synchronization….
Other posts have dealt with how this can occur, and how we can stop it happening, but suppose it has happened – what to do?
Well there is a nice stored procedure which comes to our rescue: sp_mergedummyupdate. We just need the name of the table and the rowguid.
exec sp_mergedummyupdate @source_object = ‘tCity’, @rowguid = ‘724FEE04-F8DB-E611-9BE5-080027A1E9BF’
It is very robust – if we give it the rowguid of a non-missing row there will just be an update propagated and we won’t end up with duplicates. Likewise if we try running it more than once there won’t be an issue.
Just run the proc at the publisher or the subscriber (whichever one has the missing rows) and then synchronize – job done!
We need to know why some data is missing at the subscriber. This is after synchronization and no errors have been reported. One thing to check is see if someone has run a BULK INSERT statement.
For example consider the one below.
It inserts data into a merge-replicated table and looks innocent enough:
BULK INSERT testmergedb..tCity
WITH (FORMATFILE = ‘C:\Snapshots\SSISMerge\Cities\cities.fmt’);
However if I run the following to see what is waiting to go to the subscriber I see that there are no rows ready!
By default the BULK INSERT statement doesn’t fire triggers and remember that merge replication adds insert/update/delete triggers to replicated tables in order to log all changes to them, so if the triggers are not fired merge doesn’t know of the change. There is an additional parameter we need to make sure the developers use: “FIRE_TRIGGERS” as below.
BULK INSERT testmergedb..tCity
WITH (FORMATFILE = ‘C:\Snapshots\SSISMerge\Cities\cities.fmt’, FIRE_TRIGGERS);
Now when we check the pending changes we see it there and it’ll go to the subscriber now.
I’ll do a separate post to explain how to fix this type of issue if it has already happened!
In replication there will always be a delay – post SQL 2000 it is never using a distributed transaction – so the choice for the agent job is a continuous schedule or a repeating one. I always use a repeating schedule for my jobs. If I need them to run quickly this could be every 5 mins. One reason is the problematic accumulation of history records that are not removed.
Have a look below. I’m checking for the oldest record in the msmerge_history table and it is 1st Jan 2017. However manually running the cleanup procedure to remove all history older than 2 days shows 0 records deleted!!!
So – the history records keep accumulating in the distribution database.
This is because the filter in the cleanup proc to remove records looks at the datetime in the session history. As the merge agent runs in one session it continually updates the session time. So for the cleanup query it seems that the history records have always all just been created. Really this is a logic bug in the cleanup proc but since it has always been there either you let the history table get huge or you need to restart the merge agent. Remembering to do this is a pain – so that’s one reason why I use a repeating schedule!
When looking at the subscriber we may find that there are rows missing, although synchronization works without errors. I mentioned BULK INSERTS as one possible cause. Here we look at another – “Fast Loads”.
If the developers are using SSIS to insert data into a merge-replicated table, open their SSIS pakages and have a look at the data flow task:
In particular look at the properties of the OLEDB Destination:
The default Data access mode is to perform a “Table or view – fast load”. This works incredibly quickly but it doesn’t fire table triggers and merge needs triggers to know what data to replicate. So – tell the devs to use “Table or view” and data will get replicated just fine :). I’ll do another post to explain what to do if the data is already messed up and you need to repair it.