382 lines
15 KiB
Python
382 lines
15 KiB
Python
# Copyright (c) 2014 Intel Corporation.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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# implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# This file only contains utils not related to cm_api, while in
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# cloudera_utils the functios are cm_api involved.
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import os
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import telnetlib
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from oslo_log import log as logging
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from sahara.conductor import resource as res
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from sahara import context
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from sahara import exceptions as exc
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from sahara.i18n import _
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from sahara.plugins.cdh import commands as cmd
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from sahara.plugins import recommendations_utils as ru
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from sahara.plugins import utils as u
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from sahara.utils import cluster_progress_ops as cpo
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from sahara.utils import edp as edp_u
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from sahara.utils import poll_utils
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from sahara.utils import types
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PATH_TO_CORE_SITE_XML = '/etc/hadoop/conf/core-site.xml'
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HADOOP_LIB_DIR = '/usr/lib/hadoop-mapreduce'
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CM_API_PORT = 7180
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LOG = logging.getLogger(__name__)
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AUTO_CONFIGURATION_SCHEMA = {
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'node_configs': {
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'yarn.scheduler.minimum-allocation-mb': (
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'RESOURCEMANAGER', 'yarn_scheduler_minimum_allocation_mb'),
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'mapreduce.reduce.memory.mb': (
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'YARN_GATEWAY', 'mapreduce_reduce_memory_mb'),
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'mapreduce.map.memory.mb': (
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'YARN_GATEWAY', 'mapreduce_map_memory_mb',),
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'yarn.scheduler.maximum-allocation-mb': (
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'RESOURCEMANAGER', 'yarn_scheduler_maximum_allocation_mb'),
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'yarn.app.mapreduce.am.command-opts': (
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'YARN_GATEWAY', 'yarn_app_mapreduce_am_command_opts'),
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'yarn.nodemanager.resource.memory-mb': (
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'NODEMANAGER', 'yarn_nodemanager_resource_memory_mb'),
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'mapreduce.task.io.sort.mb': (
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'YARN_GATEWAY', 'io_sort_mb'),
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'mapreduce.map.java.opts': (
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'YARN_GATEWAY', 'mapreduce_map_java_opts'),
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'mapreduce.reduce.java.opts': (
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'YARN_GATEWAY', 'mapreduce_reduce_java_opts'),
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'yarn.app.mapreduce.am.resource.mb': (
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'YARN_GATEWAY', 'yarn_app_mapreduce_am_resource_mb')
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},
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'cluster_configs': {
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'dfs.replication': ('HDFS', 'dfs_replication')
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}
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}
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class CDHPluginAutoConfigsProvider(ru.HadoopAutoConfigsProvider):
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def get_datanode_name(self):
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return 'HDFS_DATANODE'
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class AbstractPluginUtils(object):
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# c_helper and db_helper will be defined in derived classes.
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c_helper = None
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db_helper = None
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def get_role_name(self, instance, service):
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# NOTE: role name must match regexp "[_A-Za-z][-_A-Za-z0-9]{0,63}"
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shortcuts = {
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'ALERTPUBLISHER': 'AP',
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'DATANODE': 'DN',
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'EVENTSERVER': 'ES',
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'HIVEMETASTORE': 'HVM',
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'HIVESERVER2': 'HVS',
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'HOSTMONITOR': 'HM',
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'JOBHISTORY': 'JS',
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'MASTER': 'M',
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'NAMENODE': 'NN',
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'NODEMANAGER': 'NM',
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'OOZIE_SERVER': 'OS',
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'REGIONSERVER': 'RS',
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'RESOURCEMANAGER': 'RM',
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'SECONDARYNAMENODE': 'SNN',
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'SERVER': 'S',
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'SERVICEMONITOR': 'SM',
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'SPARK_YARN_HISTORY_SERVER': 'SHS',
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'WEBHCAT': 'WHC'
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}
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return '%s_%s' % (shortcuts.get(service, service),
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instance.hostname().replace('-', '_'))
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def get_manager(self, cluster):
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return u.get_instance(cluster, 'CLOUDERA_MANAGER')
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def get_namenode(self, cluster):
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return u.get_instance(cluster, "HDFS_NAMENODE")
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def get_datanodes(self, cluster):
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return u.get_instances(cluster, 'HDFS_DATANODE')
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def get_secondarynamenode(self, cluster):
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return u.get_instance(cluster, 'HDFS_SECONDARYNAMENODE')
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def get_historyserver(self, cluster):
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return u.get_instance(cluster, 'YARN_JOBHISTORY')
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def get_resourcemanager(self, cluster):
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return u.get_instance(cluster, 'YARN_RESOURCEMANAGER')
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def get_nodemanagers(self, cluster):
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return u.get_instances(cluster, 'YARN_NODEMANAGER')
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def get_oozie(self, cluster):
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return u.get_instance(cluster, 'OOZIE_SERVER')
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def get_hive_metastore(self, cluster):
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return u.get_instance(cluster, 'HIVE_METASTORE')
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def get_hive_servers(self, cluster):
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return u.get_instances(cluster, 'HIVE_SERVER2')
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def get_hue(self, cluster):
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return u.get_instance(cluster, 'HUE_SERVER')
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def get_spark_historyserver(self, cluster):
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return u.get_instance(cluster, 'SPARK_YARN_HISTORY_SERVER')
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def get_zookeepers(self, cluster):
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return u.get_instances(cluster, 'ZOOKEEPER_SERVER')
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def get_hbase_master(self, cluster):
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return u.get_instance(cluster, 'HBASE_MASTER')
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def convert_process_configs(self, configs):
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p_dict = {
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"CLOUDERA": ['MANAGER'],
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"NAMENODE": ['NAMENODE'],
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"DATANODE": ['DATANODE'],
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"SECONDARYNAMENODE": ['SECONDARYNAMENODE'],
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"RESOURCEMANAGER": ['RESOURCEMANAGER'],
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"NODEMANAGER": ['NODEMANAGER'],
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"JOBHISTORY": ['JOBHISTORY'],
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"OOZIE": ['OOZIE_SERVER'],
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"HIVESERVER": ['HIVESERVER2'],
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"HIVEMETASTORE": ['HIVEMETASTORE'],
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"WEBHCAT": ['WEBHCAT'],
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"HUE": ['HUE_SERVER'],
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"SPARK_ON_YARN": ['SPARK_YARN_HISTORY_SERVER'],
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"ZOOKEEPER": ['SERVER'],
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"MASTER": ['MASTER'],
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"REGIONSERVER": ['REGIONSERVER'],
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'YARN_GATEWAY': ['YARN_GATEWAY'],
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'HDFS_GATEWAY': ['HDFS_GATEWAY']
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}
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if isinstance(configs, res.Resource):
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configs = configs.to_dict()
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for k in configs.keys():
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if k in p_dict.keys():
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item = configs[k]
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del configs[k]
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newkey = p_dict[k][0]
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configs[newkey] = item
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return res.Resource(configs)
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def convert_role_showname(self, showname):
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name_dict = {
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'CLOUDERA_MANAGER': 'MANAGER',
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'HDFS_NAMENODE': 'NAMENODE',
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'HDFS_DATANODE': 'DATANODE',
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'HDFS_JOURNALNODE': 'JOURNALNODE',
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'HDFS_SECONDARYNAMENODE': 'SECONDARYNAMENODE',
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'YARN_RESOURCEMANAGER': 'RESOURCEMANAGER',
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'YARN_NODEMANAGER': 'NODEMANAGER',
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'YARN_JOBHISTORY': 'JOBHISTORY',
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'OOZIE_SERVER': 'OOZIE_SERVER',
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'HIVE_SERVER2': 'HIVESERVER2',
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'HIVE_METASTORE': 'HIVEMETASTORE',
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'HIVE_WEBHCAT': 'WEBHCAT',
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'HUE_SERVER': 'HUE_SERVER',
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'SPARK_YARN_HISTORY_SERVER': 'SPARK_YARN_HISTORY_SERVER',
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'ZOOKEEPER_SERVER': 'SERVER',
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'HBASE_MASTER': 'MASTER',
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'HBASE_REGIONSERVER': 'REGIONSERVER',
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'FLUME_AGENT': 'AGENT',
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'IMPALA_CATALOGSERVER': 'CATALOGSERVER',
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'IMPALA_STATESTORE': 'STATESTORE',
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'IMPALAD': 'IMPALAD',
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'KEY_VALUE_STORE_INDEXER': 'HBASE_INDEXER',
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'SENTRY_SERVER': 'SENTRY_SERVER',
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'SOL_SERVER': 'SOLR_SERVER',
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'SQOOP_SERVER': 'SQOOP_SERVER',
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}
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return name_dict.get(showname, showname)
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def install_packages(self, instances, packages):
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# instances non-empty
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cpo.add_provisioning_step(
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instances[0].cluster_id, _("Install packages"), len(instances))
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with context.ThreadGroup() as tg:
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for i in instances:
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tg.spawn('cdh-inst-pkgs-%s' % i.instance_name,
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self._install_pkgs, i, packages)
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@cpo.event_wrapper(True)
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def _install_pkgs(self, instance, packages):
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with instance.remote() as r:
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cmd.install_packages(r, packages)
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def start_cloudera_agents(self, instances):
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# instances non-empty
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cpo.add_provisioning_step(
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instances[0].cluster_id, _("Start Cloudera Agents"),
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len(instances))
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with context.ThreadGroup() as tg:
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for i in instances:
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tg.spawn('cdh-agent-start-%s' % i.instance_name,
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self._start_cloudera_agent, i)
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@cpo.event_wrapper(True)
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def _start_cloudera_agent(self, instance):
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mng_hostname = self.get_manager(instance.cluster).hostname()
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with instance.remote() as r:
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cmd.start_ntp(r)
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cmd.configure_agent(r, mng_hostname)
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cmd.start_agent(r)
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def configure_swift(self, cluster, instances=None):
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if self.c_helper.is_swift_enabled(cluster):
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if not instances:
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instances = u.get_instances(cluster)
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cpo.add_provisioning_step(
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cluster.id, _("Configure Swift"), len(instances))
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with context.ThreadGroup() as tg:
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for i in instances:
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tg.spawn('cdh-swift-conf-%s' % i.instance_name,
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self._configure_swift_to_inst, i)
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@cpo.event_wrapper(True)
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def _configure_swift_to_inst(self, instance):
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cluster = instance.cluster
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swift_lib_remote_url = self.c_helper.get_swift_lib_url(cluster)
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with instance.remote() as r:
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if r.execute_command('ls %s/hadoop-openstack.jar' % HADOOP_LIB_DIR,
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raise_when_error=False)[0] != 0:
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r.execute_command('sudo curl %s -o %s/hadoop-openstack.jar' % (
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swift_lib_remote_url, HADOOP_LIB_DIR))
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def put_hive_hdfs_xml(self, cluster):
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servers = self.get_hive_servers(cluster)
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with servers[0].remote() as r:
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conf_path = edp_u.get_hive_shared_conf_path('hdfs')
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r.execute_command(
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'sudo su - -c "hadoop fs -mkdir -p %s" hdfs'
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% os.path.dirname(conf_path))
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r.execute_command(
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'sudo su - -c "hadoop fs -put /etc/hive/conf/hive-site.xml '
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'%s" hdfs' % conf_path)
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def configure_hive(self, cluster):
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manager = self.get_manager(cluster)
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with manager.remote() as r:
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self.db_helper.create_hive_database(cluster, r)
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def create_hive_hive_directory(self, cluster):
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# Hive requires /tmp/hive-hive directory
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namenode = self.get_namenode(cluster)
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with namenode.remote() as r:
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r.execute_command(
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'sudo su - -c "hadoop fs -mkdir -p /tmp/hive-hive" hdfs')
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r.execute_command(
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'sudo su - -c "hadoop fs -chown hive /tmp/hive-hive" hdfs')
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def install_extjs(self, cluster):
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extjs_remote_location = self.c_helper.get_extjs_lib_url(cluster)
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extjs_vm_location_dir = '/var/lib/oozie'
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extjs_vm_location_path = extjs_vm_location_dir + '/extjs.zip'
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with self.get_oozie(cluster).remote() as r:
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if r.execute_command('ls %s/ext-2.2' % extjs_vm_location_dir,
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raise_when_error=False)[0] != 0:
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r.execute_command('curl -L -o \'%s\' %s' % (
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extjs_vm_location_path, extjs_remote_location),
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run_as_root=True)
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r.execute_command('unzip %s -d %s' % (
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extjs_vm_location_path, extjs_vm_location_dir),
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run_as_root=True)
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def _check_cloudera_manager_started(self, manager):
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try:
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conn = telnetlib.Telnet(manager.management_ip, CM_API_PORT)
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conn.close()
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return True
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except IOError:
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return False
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@cpo.event_wrapper(
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True, step=_("Start Cloudera Manager"), param=('cluster', 1))
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def _start_cloudera_manager(self, cluster, timeout_config):
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manager = self.get_manager(cluster)
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with manager.remote() as r:
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cmd.start_cloudera_db(r)
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cmd.start_manager(r)
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poll_utils.plugin_option_poll(
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cluster, self._check_cloudera_manager_started, timeout_config,
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_("Await starting Cloudera Manager"), 2, {'manager': manager})
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def configure_os(self, instances):
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# instances non-empty
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cpo.add_provisioning_step(
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instances[0].cluster_id, _("Configure OS"), len(instances))
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with context.ThreadGroup() as tg:
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for inst in instances:
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tg.spawn('cdh-repo-conf-%s' % inst.instance_name,
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self._configure_repo_from_inst, inst)
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@cpo.event_wrapper(True)
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def _configure_repo_from_inst(self, instance):
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LOG.debug("Configure repos from instance {instance}".format(
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instance=instance.instance_name))
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cluster = instance.cluster
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cdh5_key = self.c_helper.get_cdh5_key_url(cluster)
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cm5_key = self.c_helper.get_cm5_key_url(cluster)
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with instance.remote() as r:
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if cmd.is_ubuntu_os(r):
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cdh5_key = (cdh5_key or
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self.c_helper.DEFAULT_CDH5_UBUNTU_REPO_KEY_URL)
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cm5_key = (cm5_key or
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self.c_helper.DEFAULT_CM5_UBUNTU_REPO_KEY_URL)
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cdh5_repo_content = self.c_helper.CDH5_UBUNTU_REPO
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cm5_repo_content = self.c_helper.CM5_UBUNTU_REPO
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cmd.write_ubuntu_repository(r, cdh5_repo_content, 'cdh')
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cmd.add_apt_key(r, cdh5_key)
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cmd.write_ubuntu_repository(r, cm5_repo_content, 'cm')
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cmd.add_apt_key(r, cm5_key)
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cmd.update_repository(r)
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if cmd.is_centos_os(r):
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cdh5_repo_content = self.c_helper.CDH5_CENTOS_REPO
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cm5_repo_content = self.c_helper.CM5_CENTOS_REPO
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cmd.write_centos_repository(r, cdh5_repo_content, 'cdh')
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cmd.write_centos_repository(r, cm5_repo_content, 'cm')
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cmd.update_repository(r)
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def _get_config_value(self, service, name, configs, cluster=None):
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if cluster:
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conf = cluster.cluster_configs
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if service in conf and name in conf[service]:
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return types.transform_to_num(conf[service][name])
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for config in configs:
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if config.applicable_target == service and config.name == name:
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return types.transform_to_num(config.default_value)
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raise exc.InvalidDataException(
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_("Unable to find config: {applicable_target: %(target)s, name: "
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"%(name)s").format(target=service, name=name))
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def recommend_configs(self, cluster, plugin_configs):
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provider = CDHPluginAutoConfigsProvider(
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AUTO_CONFIGURATION_SCHEMA, plugin_configs, cluster)
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provider.apply_recommended_configs()
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