@@ -154,29 +154,6 @@ ext {
154154 // mlAppDeployer.commands.add(new com.marklogic.appdeployer.command.cpf.DeployDefaultPipelinesCommand())
155155}
156156
157-
158- /*
159- * ml-gradle does not blindly process every file in the ml-config/databases directory. It checks for specific files
160- * for a content database, a schemas database, and a triggers database. There are specific commands for each file, and
161- * each command provides a number of options for configuring the forests for a database. One reason ml-gradle does not
162- * blindly process every file (as opposed to doing so for every other ML resource) is that this approach would make it
163- * very difficult to configure the forests for each database.
164- *
165- * So, if you want to create a database in addition to a content/schemas/triggers database, you'll need to add a new
166- * command to do so, as shown here. Please see ml-app-deployer for more info on what you can customize on an instance
167- * of DeployDatabaseCommand.
168- *
169- * Note also that mlDatabaseCommands is a property initialized by ml-gradle that contains a list of command objects. This
170- * list is used when the "mlDeployDatabases" task is run, so it's a good idea to add a command for your custom database
171- * to this list, in addition to adding it to mlAppDeployer.
172- */
173- ext {
174- def otherDbCommand = new com.marklogic.appdeployer.command.databases.DeployDatabaseCommand (" other-database.json" )
175- mlAppDeployer. commands. add(otherDbCommand)
176- mlDatabaseCommands. add(otherDbCommand)
177- }
178-
179-
180157/*
181158 * Example of a custom command, which in this case performs a merge on a database. The benefit of doing this in a
182159 * command (as opposed to a task) is that a command can be included in the mlDeploy and mlUndeploy tasks by adding it to
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