Listers,

How can one use parallelism when fast refreshing a *single* table?

Pulling my hair out on this one. We want to use parallelism when replicating
updates/inserts from a single partitioned table between DB's -- partitioned
on both DB's. Both are 8.1.7.4 Solaris 8 64 bit. Using fast refresh and
primary key method. Have the MV in the target, have the source along with
the associated MLOG$. The job queues, parallel parameters, etc are all way
up there. We manually pull on occasion when doing restructuring or mass mods
and have no problems getting parallelism on each side. But we have to
initiate from the target side as a pull to get that. Have set degree 8 on
MLOG$, source, and target.

Specifically, when I crank up the refresh, with only updates, the update on
the target serializes. Info in the docs is a little confusing. Much is made
of partitioning a table in the DW guide to allow parallelism of the refresh.
But it is unclear if they are talking an MV based on an object in the same
DB, or, based on a remote object, or both. In the distributed manual it
makes a comment about DML serializing when doing remote operations. Now
someone looked into this a while back and opened a TAR to get an
explanation -- the analyst said to simply use the parallelism parameter of
the DBMS_SNAPSHOT.REFRESH. Well this didn't do it. Then he comes back and
says it is possible to replicate a single table using parallelism if you use
advanced replication (or maybe we read that somewhere). Guess I'll create a
second 8.1.7 DB on my home machine and give that a go.

But I'm probably missing something obvious here. So it's back to a simple
question -- how can one use parallelism to refresh a single table? We can
write our own routines to do this, but I would rather use native
capabilities as opposed to re-inventing the wheel. Feeling pretty stupid
here. Oh well, time to setup and test advanced replication.

Regards,

Larry G. Elkins
[EMAIL PROTECTED]
214.954.1781

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