def main(): # Start by loading all the modules action_map = get_module_map(kafka.tools.assigner.actions, kafka.tools.assigner.actions.ActionModule) sizer_map = get_module_map(kafka.tools.assigner.sizers, kafka.tools.assigner.sizers.SizerModule) plugins = get_all_plugins() # Set up and parse all CLI arguments args = set_up_arguments(action_map, sizer_map, plugins) run_plugins_at_step(plugins, 'set_arguments', args) tools_path = get_tools_path(args.tools_path) check_java_home() cluster = Cluster.create_from_zookeeper(args.zookeeper, getattr(args, 'default_retention', 1)) run_plugins_at_step(plugins, 'set_cluster', cluster) # If the module needs the partition sizes, call a size module to get the information check_and_get_sizes(action_map[args.action], args, cluster, sizer_map) run_plugins_at_step(plugins, 'after_sizes') print_leadership("before", cluster, args.leadership) # Clone the cluster, and run the action to generate a new cluster state newcluster = cluster.clone() action_to_run = action_map[args.action](args, newcluster) action_to_run.process_cluster() run_plugins_at_step(plugins, 'set_new_cluster', action_to_run.cluster) print_leadership("after", newcluster, args.leadership) move_partitions = cluster.changed_partitions(action_to_run.cluster) batches = split_partitions_into_batches(move_partitions, batch_size=args.moves, use_class=Reassignment) run_plugins_at_step(plugins, 'set_batches', batches) log.info("Partition moves required: {0}".format(len(move_partitions))) log.info("Number of batches: {0}".format(len(batches))) dry_run = is_dry_run(args) for i, batch in enumerate(batches): log.info("Executing partition reassignment {0}/{1}: {2}".format(i + 1, len(batches), repr(batch))) batch.execute(i + 1, len(batches), args.zookeeper, tools_path, plugins, dry_run) run_plugins_at_step(plugins, 'before_ple') if not args.skip_ple: all_cluster_partitions = [p for p in action_to_run.cluster.partitions(args.exclude_topics)] batches = split_partitions_into_batches(all_cluster_partitions, batch_size=args.ple_size, use_class=ReplicaElection) log.info("Number of replica elections: {0}".format(len(batches))) run_preferred_replica_elections(batches, args, tools_path, plugins, dry_run) run_plugins_at_step(plugins, 'finished') if args.output_json: data = { 'before': cluster.to_dict(), 'after': action_to_run.cluster.to_dict() } sys.stdout.write(json.dumps(data, indent=4, sort_keys=True)) return os.EX_OK
def main(): # Start by loading all the modules action_map = get_module_map(kafka.tools.assigner.actions, kafka.tools.assigner.actions.ActionModule) sizer_map = get_module_map(kafka.tools.assigner.sizers, kafka.tools.assigner.sizers.SizerModule) plugins = get_all_plugins() # Set up and parse all CLI arguments args = set_up_arguments(action_map, sizer_map, plugins) run_plugins_at_step(plugins, 'set_arguments', args) tools_path = get_tools_path(args.tools_path) check_java_home() cluster = Cluster.create_from_zookeeper( args.zookeeper, getattr(args, 'default_retention', 1)) run_plugins_at_step(plugins, 'set_cluster', cluster) # If the module needs the partition sizes, call a size module to get the information check_and_get_sizes(action_map[args.action], args, cluster, sizer_map) run_plugins_at_step(plugins, 'after_sizes') print_leadership("before", cluster, args.leadership) # Clone the cluster, and run the action to generate a new cluster state newcluster = cluster.clone() action_to_run = action_map[args.action](args, newcluster) action_to_run.process_cluster() run_plugins_at_step(plugins, 'set_new_cluster', action_to_run.cluster) print_leadership("after", newcluster, args.leadership) move_partitions = cluster.changed_partitions(action_to_run.cluster) batches = split_partitions_into_batches(move_partitions, batch_size=args.moves, use_class=Reassignment) run_plugins_at_step(plugins, 'set_batches', batches) log.info("Partition moves required: {0}".format(len(move_partitions))) log.info("Number of batches: {0}".format(len(batches))) dry_run = is_dry_run(args) for i, batch in enumerate(batches): log.info("Executing partition reassignment {0}/{1}: {2}".format( i + 1, len(batches), repr(batch))) batch.execute(i + 1, len(batches), args.zookeeper, tools_path, plugins, dry_run) run_plugins_at_step(plugins, 'before_ple') if not args.skip_ple: all_cluster_partitions = [ p for p in action_to_run.cluster.partitions(args.exclude_topics) ] batches = split_partitions_into_batches(all_cluster_partitions, batch_size=args.ple_size, use_class=ReplicaElection) log.info("Number of replica elections: {0}".format(len(batches))) run_preferred_replica_elections(batches, args, tools_path, plugins, dry_run) run_plugins_at_step(plugins, 'finished') return os.EX_OK
def test_get_tools_path_explicit_found(self, mock_is_exec_file): mock_is_exec_file.return_value = True tools_path = get_tools_path('/path/to/file') assert tools_path is '/path/to/file'
def test_get_tools_path_default(self, mock_find): mock_find.return_value = '/path/to/tools' tools_path = get_tools_path() assert tools_path == '/path/to/tools'