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The change-tracking process in merge replication is as follows: 1. The application issues a transaction. 2. The trigger behind the table is fired. 3. Insert or update is logged into MSmerge_contents while a delete is logged to MSmerge_tombstone. 4. The trigger commits. 5. The transaction commits. Unlike transactional replication, merge does not move copies of data into a distribution database. The logging that occurs within MSmerge_contents and MSmerge_tombstone indicates only that a change was made to a specific row. The actual data involved in the change is not copied; it resides only in the table. This creates an interesting effect. If 10 separate transactions were issued to the same row between cycles of the replica tion engine, and the table were configured with transactional replication, all 10 trans actions would be moved to the distribution database by the Log Reader Agent and then all 10 would subsequently be applied to the subscriber. The net effect is that nine transactions would be applied, only to be replaced by the tenth transaction against

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scriber. This is accomplished by using the following process to synchronize changes:

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1. The merge engine connects to the subscriber. 2. The merge engine connects to the publisher. 3. The merge engine interrogates the MSmerge_genhistory table on the subscriber to determine the list of generations that are not present on the publisher. 4. The merge engine then pulls the list of tables and rows contained in MSmerge_contents and MSmerge_tombstone for the generations that the pub lisher does not have. 5. The merge engine constructs delete statements from the rows extracted from MSmerge_tombstone. 6. The merge engine extracts the contents of the rows from the base tables in the database and packages the changes into batches. 7. The changes packaged are applied to the publisher. 8. Generations submitted to the publisher are logged into MSmerge_contents. 9. Conflicts are detected and resolved. 10. The merge engine interrogates the MSmerge_genhistory table on the publisher to determine the list of generations that are not present on the subscriber. 11. The merge engine then pulls the list of tables and rows contained in MSmerge_contents and MSmerge_tombstone for the generations that the sub scriber does not have. 12. The merge engine constructs delete statements from the rows extracted from MSmerge_tombstone. 13. The merge engine extracts the contents of the rows from the base tables in the database and packages the changes into batches. 14. The changes packaged are applied to the subscriber. 15. Generations submitted to the subscriber are logged into MSmerge_contents. A basic diagram of merge replication with the synchronization process is shown in Figure 11-9.

The merge process has a simple effect. Each time the merge engine runs, it interro gates both the publisher and subscriber to make one basic request: Send me every thing that I do not already have. This is a simple request that has a powerful effect. The transactional engine stores changes that need to be made and then forwards the changes to the subscriber. When a change is applied, it is removed from the replica tion engine. This has the effect that transactional replication can operate only on changes that are sitting in its queue to process, causing it to understand only from the current point forward in time. The merge engine simply does not care when a change was made or where the change was made. The merge engine has the capability to understand everything that has happened in the past and moves only the changes that do not already exist. In essence, you can look at the metadata tables underlying the merge engine as a recorder that explains every change that has ever occurred in the database since the recorder (merge engine) was turned on. It is this very process that makes the merge engine so resilient. Every change is logged into MSmerge_contents, MSmerge_tombstone, and MSmerge_genhistory. It does not matter whether the change was applied by the replication engine or whether the change was issued from an application; the merge metadata tables simply log everything. One of the difficulties with the transactional engine is that the changes are spread across three completely separated components: transaction log on publisher, distri bution database, and subscriber. Backing up and restoring the system state so that replication is still functional is extremely difficult.

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