We are using 8.2.9 Windows 64 edtion, in one of our projects we need
to recreate a few lager tables which have many millions of rows each,
we have used concurrent Java threads to read from data source and do
batch inserts to the target tables concurrently, to speed up the
inserts we have used the following configuration policies:
1. Use large page size (32K) and extend size (256) on the target db,
2. Use large buffer pools for the tablespaces which contains the large
tables on the target db.
3. Set num_cleaners to 4 to speed up moving data from bufferpool to
disks on the target db, we have 4 4-core CPU on the server.
4. Set chngpgs_thresh to 80%, using this value we mean avoiding DB2 to
moving data from bufferpool to disk too frequtenlly, because when
doing these inserts we have not other readers on the target.
5. Use lage page size(32K) and extend size(256) and prefetch size
(256) on the source db.
6. Use lage bufferpool on the source db.
7. Set num_ioservers to 4, we have 4 4-core cpu on the source db.
We are not sure about the chngpgs_thresh value, any suggestions?
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