Configuring Clustered Reconciliation for a Mapping

To specify that the reconciliation for a specific mapping should be distributed across a cluster, add the clusteredSourceReconEnabled property to the mapping and set it to true. For example:

{
    "mappings" : [
        {
            "name" : "systemLdapAccounts_managedUser",
            "source" : "system/ldap/account",
            "target" : "managed/user",
            "clusteredSourceReconEnabled" : true,
  ...
}

Note

When clustered reconciliation is enabled, source query paging is enabled automatically, regardless of the value that you set for the reconSourceQueryPaging property in the mapping.

By default, the number of records per page is 1000. Increase the page size for large data sets. For example, a reconciliation of data set of 1,000,000 entries would perform better with a page size of 10,000. To change the page size, set the reconSourceQueryPageSize property, for example:

{
      "mappings" : [
          {
              "name" : "systemLdapAccounts_managedUser",
              "source" : "system/ldap/account",
              "target" : "managed/user",
              "clusteredSourceReconEnabled" : true,
              "reconSourceQueryPageSize" : 10000
  ...
  }

To set these properties in the Admin UI, select Configure > Mappings, click on the mapping that you want to change, and select the Advanced tab.

Clustered reconciliation has the following limitations:

A complete non-clustered reconciliation run is synchronous with the single reconciliation invocation.
By contrast, a clustered reconciliation is asynchronous. In a clustered reconciliation, the first execution is synchronous only with the reconciliation of the first page. This job also schedules the subsequent pages of the clustered reconciliation to run on other cluster nodes. When you schedule a clustered reconciliation or call the operation over REST, do not set waitForCompletion to true, because you cannot wait for the operation to complete before the next operation starts.
Because this first execution does not encompass the entire reconciliation operation for that mapping, you cannot rely on the Quartz concurrentExecution property to prevent two reconciliation operations from running concurrently. If you use Quartz to schedule clustered reconciliations (as described in "Configuring Scheduled Synchronization"), make sure that the interval between scheduled operations exceeds the known run of the entire clustered reconciliation. The run-length of a specific clustered reconciliation can vary. You must therefore build in appropriate buffer times between schedules, or use a scheduled script that performs a GET on the recon/ endpoint, and dispatches the next reconciliation on a mapping only when the previous reconciliation run has completed.
If one node in the cluster is down or goes offline during a clustered reconciliation run, the reconciliation is canceled.