You can solve this problem by adding load transforms to your tables that use generators. The following example is a Java Extension Point that can be used as a column transform that keeps a named generator up to date.

First, you want to add a new extension point. You do this from the Configure > Extensions screen. Make sure you select the ISingleNewAndOldValueColumnTransform interface.

Next, you need to add the Java code that represents the implementation of the interface. You do this by selecting the extension and pressing the Edit Script button.

Following is the implementation of the column transform. It simply checks to see that table and column it is associated with does NOT have a bigger value in the target table. If it doesn't, then it assumes that it is safe to update the generator to the current id value. Note that it gets the name of the generator from the transform expression. This will need to be configured when the transform is setup on the target table(s).

Now we have a registered column transform extension that we can use. It is time to setup the transform on a table. For this example, the table transform is going to be on the NOTE table. We will assume that the NOTE table has already been configured to synchronize. Use the Auto Create button to select the NOTE table. We are using an IMPLIED table transform which means all of the columns that are not explicitly named will be passed through.

Next we need to edit the table transform to make the transform a LOAD transform. LOAD transforms execute on the target node. EXTRACT transforms execute on the source node.

Finally, we need to add our column transform on our ID column. Select the table transform and press the Edit Columns button. Add a column and select ID for the source and target columns. Drop down the transform type and select our custom transform. The custom transform expects the transform expression to be the name of the generator.

At this point, everything is configured. It is time to test!

This has been another example of the flexibility of SymmetricDS. The exact same pattern can be used to keep Oracle and Postgres sequences in sync.

Chris Henson
Author: Chris Henson

Chris, the original founder of JumpMind, has been a software developer since the mid 1990's and has developed and architected systems for the defense, aviation, and retail industries. He is a productive consumer, active participant, and dedicated producer of open source solutions. Chris has also led SymmetricDS and POS implementations at both the national and international level.