| { |
| "roleCommand": "SERVICE_CHECK", |
| "clusterName": "c1", |
| "hostname": "c6401.ambari.apache.org", |
| "hostLevelParams": { |
| "not_managed_hdfs_path_list": "[\"/apps/hive/warehouse\",\"/apps/falcon\",\"/mr-history/done\",\"/app-logs\",\"/tmp\"]", |
| "agent_stack_retry_count": "5", |
| "agent_stack_retry_on_unavailability": "false", |
| "jdk_location": "http://c6401.ambari.apache.org:8080/resources/", |
| "ambari_db_rca_password": "mapred", |
| "ambari_db_rca_url": "jdbc:postgresql://c6401.ambari.apache.org/ambarirca", |
| "jce_name": "UnlimitedJCEPolicyJDK7.zip", |
| "stack_version": "2.5", |
| "stack_name": "HDP", |
| "ambari_db_rca_driver": "org.postgresql.Driver", |
| "jdk_name": "jdk-7u67-linux-x64.tar.gz", |
| "ambari_db_rca_username": "mapred", |
| "java_home": "/usr/jdk64/jdk1.7.0_45", |
| "db_name": "ambari" |
| }, |
| "commandType": "EXECUTION_COMMAND", |
| "roleParams": {}, |
| "serviceName": "SLIDER", |
| "role": "SLIDER", |
| "commandParams": { |
| "version": "2.5.0.0-1235", |
| "command_timeout": "300", |
| "service_package_folder": "OOZIE", |
| "script_type": "PYTHON", |
| "script": "scripts/service_check.py", |
| "excluded_hosts": "host1,host2" |
| }, |
| "taskId": 152, |
| "public_hostname": "c6401.ambari.apache.org", |
| "configurations": { |
| "slider-client": { |
| "slider.yarn.queue": "default" |
| }, |
| "sqoop-site": { |
| "atlas.cluster.name": "c1", |
| "sqoop.job.data.publish.class": "org.apache.atlas.sqoop.hook.SqoopHook" |
| }, |
| "mahout-env": { |
| "mahout_user": "mahout" |
| }, |
| "yarn-env": { |
| "yarn_user": "yarn" |
| }, |
| "mahout-log4j": { |
| "content": "\n #\n #\n # Licensed to the Apache Software Foundation (ASF) under one\n # or more contributor license agreements. See the NOTICE file\n # distributed with this work for additional information\n # regarding copyright ownership. The ASF licenses this file\n # to you under the Apache License, Version 2.0 (the\n # \"License\"); you may not use this file except in compliance\n # with the License. You may obtain a copy of the License at\n #\n # http://www.apache.org/licenses/LICENSE-2.0\n #\n # Unless required by applicable law or agreed to in writing,\n # software distributed under the License is distributed on an\n # \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n # KIND, either express or implied. See the License for the\n # specific language governing permissions and limitations\n # under the License.\n #\n #\n #\n\n # Set everything to be logged to the console\n log4j.rootCategory=WARN, console\n log4j.appender.console=org.apache.log4j.ConsoleAppender\n log4j.appender.console.target=System.err\n log4j.appender.console.layout=org.apache.log4j.PatternLayout\n log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n\n\n # Settings to quiet third party logs that are too verbose\n log4j.logger.org.eclipse.jetty=WARN\n log4j.logger.org.apache.spark.repl.SparkIMain$exprTyper=WARN\n log4j.logger.org.apache.spark.repl.SparkILoop$SparkILoopInterpreter=WARN" |
| }, |
| "hadoop-env": { |
| "hdfs_user": "hdfs" |
| }, |
| "core-site": { |
| "fs.defaultFS": "hdfs://c6401.ambari.apache.org:8020" |
| }, |
| "hdfs-site": { |
| "a": "b" |
| }, |
| "yarn-site": { |
| "yarn.application.classpath": "/etc/hadoop/conf,/usr/lib/hadoop/*,/usr/lib/hadoop/lib/*,/usr/lib/hadoop-hdfs/*,/usr/lib/hadoop-hdfs/lib/*,/usr/lib/hadoop-yarn/*,/usr/lib/hadoop-yarn/lib/*,/usr/lib/hadoop-mapreduce/*,/usr/lib/hadoop-mapreduce/lib/*", |
| "yarn.resourcemanager.address": "c6401.ambari.apache.org:8050", |
| "yarn.resourcemanager.scheduler.address": "c6401.ambari.apache.org:8030" |
| }, |
| "cluster-env": { |
| "managed_hdfs_resource_property_names": "", |
| "security_enabled": "false", |
| "ignore_groupsusers_create": "false", |
| "smokeuser": "ambari-qa", |
| "kerberos_domain": "EXAMPLE.COM", |
| "user_group": "hadoop" |
| }, |
| "webhcat-site": { |
| "templeton.jar": "/usr/hdp/current/hive-webhcat/share/webhcat/svr/lib/hive-webhcat-*.jar", |
| "templeton.pig.archive": "hdfs:///hdp/apps/{{ hdp_stack_version }}/pig/pig.tar.gz", |
| "templeton.hive.archive": "hdfs:///hdp/apps/{{ hdp_stack_version }}/hive/hive.tar.gz", |
| "templeton.sqoop.archive": "hdfs:///hdp/apps/{{ hdp_stack_version }}/sqoop/sqoop.tar.gz", |
| "templeton.streaming.jar": "hdfs:///hdp/apps/{{ hdp_stack_version }}/mr/hadoop-streaming.jar" |
| }, |
| "slider-log4j": { |
| "content": "log4jproperties\nline2" |
| }, |
| "slider-env": { |
| "content": "envproperties\nline2" |
| }, |
| "gateway-site": { |
| "java.security.auth.login.config": "/etc/knox/conf/krb5JAASLogin.conf", |
| "gateway.hadoop.kerberos.secured": "false", |
| "gateway.gateway.conf.dir": "deployments", |
| "gateway.path": "gateway", |
| "sun.security.krb5.debug": "true", |
| "java.security.krb5.conf": "/etc/knox/conf/krb5.conf", |
| "gateway.port": "8443" |
| }, |
| |
| "users-ldif": { |
| "content": "\n # Licensed to the Apache Software Foundation (ASF) under one\n # or more contributor license agreements. See the NOTICE file\n # distributed with this work for additional information\n # regarding copyright ownership. The ASF licenses this file\n # to you under the Apache License, Version 2.0 (the\n # \"License\"); you may not use this file except in compliance\n # with the License. You may obtain a copy of the License at\n #\n # http://www.apache.org/licenses/LICENSE-2.0\n #\n # Unless required by applicable law or agreed to in writing, software\n # distributed under the License is distributed on an \"AS IS\" BASIS,\n # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n # See the License for the specific language governing permissions and\n # limitations under the License.\n\n version: 1\n\n # Please replace with site specific values\n dn: dc=hadoop,dc=apache,dc=org\n objectclass: organization\n objectclass: dcObject\n o: Hadoop\n dc: hadoop\n\n # Entry for a sample people container\n # Please replace with site specific values\n dn: ou=people,dc=hadoop,dc=apache,dc=org\n objectclass:top\n objectclass:organizationalUnit\n ou: people\n\n # Entry for a sample end user\n # Please replace with site specific values\n dn: uid=guest,ou=people,dc=hadoop,dc=apache,dc=org\n objectclass:top\n objectclass:person\n objectclass:organizationalPerson\n objectclass:inetOrgPerson\n cn: Guest\n sn: User\n uid: guest\n userPassword:guest-password\n\n # entry for sample user admin\n dn: uid=admin,ou=people,dc=hadoop,dc=apache,dc=org\n objectclass:top\n objectclass:person\n objectclass:organizationalPerson\n objectclass:inetOrgPerson\n cn: Admin\n sn: Admin\n uid: admin\n userPassword:admin-password\n\n # entry for sample user sam\n dn: uid=sam,ou=people,dc=hadoop,dc=apache,dc=org\n objectclass:top\n objectclass:person\n objectclass:organizationalPerson\n objectclass:inetOrgPerson\n cn: sam\n sn: sam\n uid: sam\n userPassword:sam-password\n\n # entry for sample user tom\n dn: uid=tom,ou=people,dc=hadoop,dc=apache,dc=org\n objectclass:top\n objectclass:person\n objectclass:organizationalPerson\n objectclass:inetOrgPerson\n cn: tom\n sn: tom\n uid: tom\n userPassword:tom-password\n\n # create FIRST Level groups branch\n dn: ou=groups,dc=hadoop,dc=apache,dc=org\n objectclass:top\n objectclass:organizationalUnit\n ou: groups\n description: generic groups branch\n\n # create the analyst group under groups\n dn: cn=analyst,ou=groups,dc=hadoop,dc=apache,dc=org\n objectclass:top\n objectclass: groupofnames\n cn: analyst\n description:analyst group\n member: uid=sam,ou=people,dc=hadoop,dc=apache,dc=org\n member: uid=tom,ou=people,dc=hadoop,dc=apache,dc=org\n\n\n # create the scientist group under groups\n dn: cn=scientist,ou=groups,dc=hadoop,dc=apache,dc=org\n objectclass:top\n objectclass: groupofnames\n cn: scientist\n description: scientist group\n member: uid=sam,ou=people,dc=hadoop,dc=apache,dc=org" |
| }, |
| |
| "topology": { |
| "content": "\n <topology>\n\n <gateway>\n\n <provider>\n <role>authentication</role>\n <name>ShiroProvider</name>\n <enabled>true</enabled>\n <param>\n <name>sessionTimeout</name>\n <value>30</value>\n </param>\n <param>\n <name>main.ldapRealm</name>\n <value>org.apache.hadoop.gateway.shirorealm.KnoxLdapRealm</value>\n </param>\n <param>\n <name>main.ldapRealm.userDnTemplate</name>\n <value>uid={0},ou=people,dc=hadoop,dc=apache,dc=org</value>\n </param>\n <param>\n <name>main.ldapRealm.contextFactory.url</name>\n <value>ldap://{{knox_host_name}}:33389</value>\n </param>\n <param>\n <name>main.ldapRealm.contextFactory.authenticationMechanism</name>\n <value>simple</value>\n </param>\n <param>\n <name>urls./**</name>\n <value>authcBasic</value>\n </param>\n </provider>\n\n <provider>\n <role>identity-assertion</role>\n <name>Default</name>\n <enabled>true</enabled>\n </provider>\n\n </gateway>\n\n <service>\n <role>NAMENODE</role>\n <url>hdfs://{{namenode_host}}:{{namenode_rpc_port}}</url>\n </service>\n\n <service>\n <role>JOBTRACKER</role>\n <url>rpc://{{rm_host}}:{{jt_rpc_port}}</url>\n </service>\n\n <service>\n <role>WEBHDFS</role>\n <url>http://{{namenode_host}}:{{namenode_http_port}}/webhdfs</url>\n </service>\n\n <service>\n <role>WEBHCAT</role>\n <url>http://{{webhcat_server_host}}:{{templeton_port}}/templeton</url>\n </service>\n\n <service>\n <role>OOZIE</role>\n <url>http://{{oozie_server_host}}:{{oozie_server_port}}/oozie</url>\n </service>\n\n <service>\n <role>WEBHBASE</role>\n <url>http://{{hbase_master_host}}:{{hbase_master_port}}</url>\n </service>\n\n <service>\n <role>HIVE</role>\n <url>http://{{hive_server_host}}:{{hive_http_port}}/{{hive_http_path}}</url>\n </service>\n\n <service>\n <role>RESOURCEMANAGER</role>\n <url>http://{{rm_host}}:{{rm_port}}/ws</url>\n </service>\n </topology>" |
| }, |
| |
| "ldap-log4j": { |
| "content": "\n # Licensed to the Apache Software Foundation (ASF) under one\n # or more contributor license agreements. See the NOTICE file\n # distributed with this work for additional information\n # regarding copyright ownership. The ASF licenses this file\n # to you under the Apache License, Version 2.0 (the\n # \"License\"); you may not use this file except in compliance\n # with the License. You may obtain a copy of the License at\n #\n # http://www.apache.org/licenses/LICENSE-2.0\n #\n # Unless required by applicable law or agreed to in writing, software\n # distributed under the License is distributed on an \"AS IS\" BASIS,\n # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n # See the License for the specific language governing permissions and\n # limitations under the License.\n #testing\n\n app.log.dir=${launcher.dir}/../logs\n app.log.file=${launcher.name}.log\n\n log4j.rootLogger=ERROR, drfa\n log4j.logger.org.apache.directory.server.ldap.LdapServer=INFO\n log4j.logger.org.apache.directory=WARN\n\n log4j.appender.stdout=org.apache.log4j.ConsoleAppender\n log4j.appender.stdout.layout=org.apache.log4j.PatternLayout\n log4j.appender.stdout.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{2}: %m%n\n\n log4j.appender.drfa=org.apache.log4j.DailyRollingFileAppender\n log4j.appender.drfa.File=${app.log.dir}/${app.log.file}\n log4j.appender.drfa.DatePattern=.yyyy-MM-dd\n log4j.appender.drfa.layout=org.apache.log4j.PatternLayout\n log4j.appender.drfa.layout.ConversionPattern=%d{ISO8601} %-5p %c{2} (%F:%M(%L)) - %m%n" |
| }, |
| |
| "gateway-log4j": { |
| "content": "\n\n # Licensed to the Apache Software Foundation (ASF) under one\n # or more contributor license agreements. See the NOTICE file\n # distributed with this work for additional information\n # regarding copyright ownership. The ASF licenses this file\n # to you under the Apache License, Version 2.0 (the\n # \"License\"); you may not use this file except in compliance\n # with the License. You may obtain a copy of the License at\n #\n # http://www.apache.org/licenses/LICENSE-2.0\n #\n # Unless required by applicable law or agreed to in writing, software\n # distributed under the License is distributed on an \"AS IS\" BASIS,\n # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n # See the License for the specific language governing permissions and\n # limitations under the License.\n\n app.log.dir=${launcher.dir}/../logs\n app.log.file=${launcher.name}.log\n app.audit.file=${launcher.name}-audit.log\n\n log4j.rootLogger=ERROR, drfa\n\n log4j.logger.org.apache.hadoop.gateway=INFO\n #log4j.logger.org.apache.hadoop.gateway=DEBUG\n\n #log4j.logger.org.eclipse.jetty=DEBUG\n #log4j.logger.org.apache.shiro=DEBUG\n #log4j.logger.org.apache.http=DEBUG\n #log4j.logger.org.apache.http.client=DEBUG\n #log4j.logger.org.apache.http.headers=DEBUG\n #log4j.logger.org.apache.http.wire=DEBUG\n\n log4j.appender.stdout=org.apache.log4j.ConsoleAppender\n log4j.appender.stdout.layout=org.apache.log4j.PatternLayout\n log4j.appender.stdout.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{2}: %m%n\n\n log4j.appender.drfa=org.apache.log4j.DailyRollingFileAppender\n log4j.appender.drfa.File=${app.log.dir}/${app.log.file}\n log4j.appender.drfa.DatePattern=.yyyy-MM-dd\n log4j.appender.drfa.layout=org.apache.log4j.PatternLayout\n log4j.appender.drfa.layout.ConversionPattern=%d{ISO8601} %-5p %c{2} (%F:%M(%L)) - %m%n\n\n log4j.logger.audit=INFO, auditfile\n log4j.appender.auditfile=org.apache.log4j.DailyRollingFileAppender\n log4j.appender.auditfile.File=${app.log.dir}/${app.audit.file}\n log4j.appender.auditfile.Append = true\n log4j.appender.auditfile.DatePattern = '.'yyyy-MM-dd\n log4j.appender.auditfile.layout = org.apache.hadoop.gateway.audit.log4j.layout.AuditLayout" |
| }, |
| "knox-env": { |
| "knox_master_secret": "sa", |
| "knox_group": "knox", |
| "knox_pid_dir": "/var/run/knox", |
| "knox_user": "knox" |
| }, |
| "kafka-env": { |
| "content": "\n#!/bin/bash\n\n# Set KAFKA specific environment variables here.\n\n# The java implementation to use.\nexport JAVA_HOME={{java64_home}}\nexport PATH=$PATH:$JAVA_HOME/bin", |
| "kafka_user": "kafka", |
| "kafka_log_dir": "/var/log/kafka", |
| "kafka_pid_dir": "/var/run/kafka" |
| }, |
| "kafka-log4j": { |
| "content": "\n#\n#\n# Licensed to the Apache Software Foundation (ASF) under one\n# or more contributor license agreements. See the NOTICE file\n# distributed with this work for additional information\n# regarding copyright ownership. The ASF licenses this file\n# to you under the Apache License, Version 2.0 (the\n# \"License\"); you may not use this file except in compliance\n# with the License. You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing,\n# software distributed under the License is distributed on an\n# \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n# KIND, either express or implied. See the License for the\n# specific language governing permissions and limitations\n# under the License.\n#\n#\n#\nkafka.logs.dir=logs\n\nlog4j.rootLogger=INFO, stdout\n\nlog4j.appender.stdout=org.apache.log4j.ConsoleAppender\nlog4j.appender.stdout.layout=org.apache.log4j.PatternLayout\nlog4j.appender.stdout.layout.ConversionPattern=[%d] %p %m (%c)%n\n\nlog4j.appender.kafkaAppender=org.apache.log4j.DailyRollingFileAppender\nlog4j.appender.kafkaAppender.DatePattern='.'yyyy-MM-dd-HH\nlog4j.appender.kafkaAppender.File=${kafka.logs.dir}/server.log\nlog4j.appender.kafkaAppender.layout=org.apache.log4j.PatternLayout\nlog4j.appender.kafkaAppender.layout.ConversionPattern=[%d] %p %m (%c)%n\n\nlog4j.appender.stateChangeAppender=org.apache.log4j.DailyRollingFileAppender\nlog4j.appender.stateChangeAppender.DatePattern='.'yyyy-MM-dd-HH\nlog4j.appender.stateChangeAppender.File=${kafka.logs.dir}/state-change.log\nlog4j.appender.stateChangeAppender.layout=org.apache.log4j.PatternLayout\nlog4j.appender.stateChangeAppender.layout.ConversionPattern=[%d] %p %m (%c)%n\n\nlog4j.appender.requestAppender=org.apache.log4j.DailyRollingFileAppender\nlog4j.appender.requestAppender.DatePattern='.'yyyy-MM-dd-HH\nlog4j.appender.requestAppender.File=${kafka.logs.dir}/kafka-request.log\nlog4j.appender.requestAppender.layout=org.apache.log4j.PatternLayout\nlog4j.appender.requestAppender.layout.ConversionPattern=[%d] %p %m (%c)%n\n\nlog4j.appender.cleanerAppender=org.apache.log4j.DailyRollingFileAppender\nlog4j.appender.cleanerAppender.DatePattern='.'yyyy-MM-dd-HH\nlog4j.appender.cleanerAppender.File=${kafka.logs.dir}/log-cleaner.log\nlog4j.appender.cleanerAppender.layout=org.apache.log4j.PatternLayout\nlog4j.appender.cleanerAppender.layout.ConversionPattern=[%d] %p %m (%c)%n\n\nlog4j.appender.controllerAppender=org.apache.log4j.DailyRollingFileAppender\nlog4j.appender.controllerAppender.DatePattern='.'yyyy-MM-dd-HH\nlog4j.appender.controllerAppender.File=${kafka.logs.dir}/controller.log\nlog4j.appender.controllerAppender.layout=org.apache.log4j.PatternLayout\nlog4j.appender.controllerAppender.layout.ConversionPattern=[%d] %p %m (%c)%n\n\n# Turn on all our debugging info\n#log4j.logger.kafka.producer.async.DefaultEventHandler=DEBUG, kafkaAppender\n#log4j.logger.kafka.client.ClientUtils=DEBUG, kafkaAppender\n#log4j.logger.kafka.perf=DEBUG, kafkaAppender\n#log4j.logger.kafka.perf.ProducerPerformance$ProducerThread=DEBUG, kafkaAppender\n#log4j.logger.org.I0Itec.zkclient.ZkClient=DEBUG\nlog4j.logger.kafka=INFO, kafkaAppender\nlog4j.logger.kafka.network.RequestChannel$=WARN, requestAppender\nlog4j.additivity.kafka.network.RequestChannel$=false\n\n#log4j.logger.kafka.network.Processor=TRACE, requestAppender\n#log4j.logger.kafka.server.KafkaApis=TRACE, requestAppender\n#log4j.additivity.kafka.server.KafkaApis=false\nlog4j.logger.kafka.request.logger=WARN, requestAppender\nlog4j.additivity.kafka.request.logger=false\n\nlog4j.logger.kafka.controller=TRACE, controllerAppender\nlog4j.additivity.kafka.controller=false\n\nlog4j.logger.kafka.log.LogCleaner=INFO, cleanerAppender\nlog4j.additivity.kafka.log.LogCleaner=false\n\nlog4j.logger.state.change.logger=TRACE, stateChangeAppender\nlog4j.additivity.state.change.logger=false" |
| }, |
| "kafka-broker": { |
| "log.segment.bytes": "1073741824", |
| "socket.send.buffer.bytes": "102400", |
| "num.network.threads": "3", |
| "log.flush.scheduler.interval.ms": "3000", |
| "kafka.ganglia.metrics.host": "localhost", |
| "zookeeper.session.timeout.ms": "6000", |
| "replica.lag.time.max.ms": "10000", |
| "num.io.threads": "8", |
| "kafka.ganglia.metrics.group": "kafka", |
| "replica.lag.max.messages": "4000", |
| "port": "6667", |
| "log.retention.bytes": "-1", |
| "fetch.purgatory.purge.interval.requests": "10000", |
| "producer.purgatory.purge.interval.requests": "10000", |
| "default.replication.factor": "1", |
| "replica.high.watermark.checkpoint.interval.ms": "5000", |
| "zookeeper.connect": "c6402.ambari.apache.org:2181", |
| "controlled.shutdown.retry.backoff.ms": "5000", |
| "num.partitions": "1", |
| "log.flush.interval.messages": "10000", |
| "replica.fetch.min.bytes": "1", |
| "queued.max.requests": "500", |
| "controlled.shutdown.max.retries": "3", |
| "replica.fetch.wait.max.ms": "500", |
| "controlled.shutdown.enable": "false", |
| "log.roll.hours": "168", |
| "log.cleanup.interval.mins": "10", |
| "replica.socket.receive.buffer.bytes": "65536", |
| "zookeeper.connection.timeout.ms": "6000", |
| "replica.fetch.max.bytes": "1048576", |
| "num.replica.fetchers": "1", |
| "socket.request.max.bytes": "104857600", |
| "message.max.bytes": "1000000", |
| "zookeeper.sync.time.ms": "2000", |
| "socket.receive.buffer.bytes": "102400", |
| "controller.message.queue.size": "10", |
| "log.flush.interval.ms": "3000", |
| "log.dirs": "/tmp/log/dir", |
| "controller.socket.timeout.ms": "30000", |
| "replica.socket.timeout.ms": "30000", |
| "auto.create.topics.enable": "true", |
| "log.index.size.max.bytes": "10485760", |
| "kafka.ganglia.metrics.port": "8649", |
| "log.index.interval.bytes": "4096", |
| "log.retention.hours": "168" |
| }, |
| "spark-defaults": { |
| "spark.yarn.applicationMaster.waitTries": "10", |
| "spark.history.kerberos.keytab": "none", |
| "spark.yarn.preserve.staging.files": "false", |
| "spark.yarn.submit.file.replication": "3", |
| "spark.history.kerberos.principal": "none", |
| "spark.yarn.driver.memoryOverhead": "384", |
| "spark.yarn.queue": "default", |
| "spark.yarn.containerLauncherMaxThreads": "25", |
| "spark.yarn.scheduler.heartbeat.interval-ms": "5000", |
| "spark.history.ui.port": "18080", |
| "spark.yarn.max.executor.failures": "3", |
| "spark.driver.extraJavaOptions": "", |
| "spark.history.provider": "org.apache.spark.deploy.yarn.history.YarnHistoryProvider", |
| "spark.yarn.am.extraJavaOptions": "", |
| "spark.yarn.executor.memoryOverhead": "384" |
| }, |
| "spark-javaopts-properties": { |
| "content": " " |
| }, |
| "spark-log4j-properties": { |
| "content": "\n# Set everything to be logged to the console\nlog4j.rootCategory=INFO, console\nlog4j.appender.console=org.apache.log4j.ConsoleAppender\nlog4j.appender.console.target=System.err\nlog4j.appender.console.layout=org.apache.log4j.PatternLayout\nlog4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n\n\n# Settings to quiet third party logs that are too verbose\nlog4j.logger.org.eclipse.jetty=WARN\nlog4j.logger.org.eclipse.jetty.util.component.AbstractLifeCycle=ERROR\nlog4j.logger.org.apache.spark.repl.SparkIMain$exprTyper=INFO\nlog4j.logger.org.apache.spark.repl.SparkILoop$SparkILoopInterpreter=INFO" |
| }, |
| "spark-env": { |
| "content": "\n#!/usr/bin/env bash\n\n# This file is sourced when running various Spark programs.\n# Copy it as spark-env.sh and edit that to configure Spark for your site.\n\n# Options read in YARN client mode\n#SPARK_EXECUTOR_INSTANCES=\"2\" #Number of workers to start (Default: 2)\n#SPARK_EXECUTOR_CORES=\"1\" #Number of cores for the workers (Default: 1).\n#SPARK_EXECUTOR_MEMORY=\"1G\" #Memory per Worker (e.g. 1000M, 2G) (Default: 1G)\n#SPARK_DRIVER_MEMORY=\"512 Mb\" #Memory for Master (e.g. 1000M, 2G) (Default: 512 Mb)\n#SPARK_YARN_APP_NAME=\"spark\" #The name of your application (Default: Spark)\n#SPARK_YARN_QUEUE=\"~@~Xdefault~@~Y\" #The hadoop queue to use for allocation requests (Default: @~Xdefault~@~Y)\n#SPARK_YARN_DIST_FILES=\"\" #Comma separated list of files to be distributed with the job.\n#SPARK_YARN_DIST_ARCHIVES=\"\" #Comma separated list of archives to be distributed with the job.\n\n# Generic options for the daemons used in the standalone deploy mode\n\n# Alternate conf dir. (Default: ${SPARK_HOME}/conf)\nexport SPARK_CONF_DIR=${SPARK_HOME:-{{spark_home}}}/conf\n\n# Where log files are stored.(Default:${SPARK_HOME}/logs)\n#export SPARK_LOG_DIR=${SPARK_HOME:-{{spark_home}}}/logs\nexport SPARK_LOG_DIR={{spark_log_dir}}\n\n# Where the pid file is stored. (Default: /tmp)\nexport SPARK_PID_DIR={{spark_pid_dir}}\n\n# A string representing this instance of spark.(Default: $USER)\nSPARK_IDENT_STRING=$USER\n\n# The scheduling priority for daemons. (Default: 0)\nSPARK_NICENESS=0\n\nexport HADOOP_HOME=${HADOOP_HOME:-{{hadoop_home}}}\nexport HADOOP_CONF_DIR=${HADOOP_CONF_DIR:-{{hadoop_conf_dir}}}\n\n# The java implementation to use.\nexport JAVA_HOME={{java_home}}\n\nif [ -d \"/etc/tez/conf/\" ]; then\n export TEZ_CONF_DIR=/etc/tez/conf\nelse\n export TEZ_CONF_DIR=\nfi", |
| "spark_pid_dir": "/var/run/spark", |
| "spark_log_dir": "/var/log/spark", |
| "spark_group": "spark", |
| "spark_user": "spark" |
| }, |
| "spark-metrics-properties": { |
| "content": "\n# syntax: [instance].sink|source.[name].[options]=[value]\n\n# This file configures Spark's internal metrics system. The metrics system is\n# divided into instances which correspond to internal components.\n# Each instance can be configured to report its metrics to one or more sinks.\n# Accepted values for [instance] are \"master\", \"worker\", \"executor\", \"driver\",\n# and \"applications\". A wild card \"*\" can be used as an instance name, in\n# which case all instances will inherit the supplied property.\n#\n# Within an instance, a \"source\" specifies a particular set of grouped metrics.\n# there are two kinds of sources:\n# 1. Spark internal sources, like MasterSource, WorkerSource, etc, which will\n# collect a Spark component's internal state. Each instance is paired with a\n# Spark source that is added automatically.\n# 2. Common sources, like JvmSource, which will collect low level state.\n# These can be added through configuration options and are then loaded\n# using reflection.\n#\n# A \"sink\" specifies where metrics are delivered to. Each instance can be\n# assigned one or more sinks.\n#\n# The sink|source field specifies whether the property relates to a sink or\n# source.\n#\n# The [name] field specifies the name of source or sink.\n#\n# The [options] field is the specific property of this source or sink. The\n# source or sink is responsible for parsing this property.\n#\n# Notes:\n# 1. To add a new sink, set the \"class\" option to a fully qualified class\n# name (see examples below).\n# 2. Some sinks involve a polling period. The minimum allowed polling period\n# is 1 second.\n# 3. Wild card properties can be overridden by more specific properties.\n# For example, master.sink.console.period takes precedence over\n# *.sink.console.period.\n# 4. A metrics specific configuration\n# \"spark.metrics.conf=${SPARK_HOME}/conf/metrics.properties\" should be\n# added to Java properties using -Dspark.metrics.conf=xxx if you want to\n# customize metrics system. You can also put the file in ${SPARK_HOME}/conf\n# and it will be loaded automatically.\n# 5. MetricsServlet is added by default as a sink in master, worker and client\n# driver, you can send http request \"/metrics/json\" to get a snapshot of all the\n# registered metrics in json format. For master, requests \"/metrics/master/json\" and\n# \"/metrics/applications/json\" can be sent seperately to get metrics snapshot of\n# instance master and applications. MetricsServlet may not be configured by self.\n#\n\n## List of available sinks and their properties.\n\n# org.apache.spark.metrics.sink.ConsoleSink\n# Name: Default: Description:\n# period 10 Poll period\n# unit seconds Units of poll period\n\n# org.apache.spark.metrics.sink.CSVSink\n# Name: Default: Description:\n# period 10 Poll period\n# unit seconds Units of poll period\n# directory /tmp Where to store CSV files\n\n# org.apache.spark.metrics.sink.GangliaSink\n# Name: Default: Description:\n# host NONE Hostname or multicast group of Ganglia server\n# port NONE Port of Ganglia server(s)\n# period 10 Poll period\n# unit seconds Units of poll period\n# ttl 1 TTL of messages sent by Ganglia\n# mode multicast Ganglia network mode ('unicast' or 'multicast')\n\n# org.apache.spark.metrics.sink.JmxSink\n\n# org.apache.spark.metrics.sink.MetricsServlet\n# Name: Default: Description:\n# path VARIES* Path prefix from the web server root\n# sample false Whether to show entire set of samples for histograms ('false' or 'true')\n#\n# * Default path is /metrics/json for all instances except the master. The master has two paths:\n# /metrics/aplications/json # App information\n# /metrics/master/json # Master information\n\n# org.apache.spark.metrics.sink.GraphiteSink\n# Name: Default: Description:\n# host NONE Hostname of Graphite server\n# port NONE Port of Graphite server\n# period 10 Poll period\n# unit seconds Units of poll period\n# prefix EMPTY STRING Prefix to prepend to metric name\n\n## Examples\n# Enable JmxSink for all instances by class name\n#*.sink.jmx.class=org.apache.spark.metrics.sink.JmxSink\n\n# Enable ConsoleSink for all instances by class name\n#*.sink.console.class=org.apache.spark.metrics.sink.ConsoleSink\n\n# Polling period for ConsoleSink\n#*.sink.console.period=10\n\n#*.sink.console.unit=seconds\n\n# Master instance overlap polling period\n#master.sink.console.period=15\n\n#master.sink.console.unit=seconds\n\n# Enable CsvSink for all instances\n#*.sink.csv.class=org.apache.spark.metrics.sink.CsvSink\n\n# Polling period for CsvSink\n#*.sink.csv.period=1\n\n#*.sink.csv.unit=minutes\n\n# Polling directory for CsvSink\n#*.sink.csv.directory=/tmp/\n\n# Worker instance overlap polling period\n#worker.sink.csv.period=10\n\n#worker.sink.csv.unit=minutes\n\n# Enable jvm source for instance master, worker, driver and executor\n#master.source.jvm.class=org.apache.spark.metrics.source.JvmSource\n\n#worker.source.jvm.class=org.apache.spark.metrics.source.JvmSource\n\n#driver.source.jvm.class=org.apache.spark.metrics.source.JvmSource\n\n#executor.source.jvm.class=org.apache.spark.metrics.source.JvmSource" |
| }, |
| "spark-metrics-properties": { |
| "content": "\n# syntax: [instance].sink|source.[name].[options]=[value]\n\n# This file configures Spark's internal metrics system. The metrics system is\n# divided into instances which correspond to internal components.\n# Each instance can be configured to report its metrics to one or more sinks.\n# Accepted values for [instance] are \"master\", \"worker\", \"executor\", \"driver\",\n# and \"applications\". A wild card \"*\" can be used as an instance name, in\n# which case all instances will inherit the supplied property.\n#\n# Within an instance, a \"source\" specifies a particular set of grouped metrics.\n# there are two kinds of sources:\n# 1. Spark internal sources, like MasterSource, WorkerSource, etc, which will\n# collect a Spark component's internal state. Each instance is paired with a\n# Spark source that is added automatically.\n# 2. Common sources, like JvmSource, which will collect low level state.\n# These can be added through configuration options and are then loaded\n# using reflection.\n#\n# A \"sink\" specifies where metrics are delivered to. Each instance can be\n# assigned one or more sinks.\n#\n# The sink|source field specifies whether the property relates to a sink or\n# source.\n#\n# The [name] field specifies the name of source or sink.\n#\n# The [options] field is the specific property of this source or sink. The\n# source or sink is responsible for parsing this property.\n#\n# Notes:\n# 1. To add a new sink, set the \"class\" option to a fully qualified class\n# name (see examples below).\n# 2. Some sinks involve a polling period. The minimum allowed polling period\n# is 1 second.\n# 3. Wild card properties can be overridden by more specific properties.\n# For example, master.sink.console.period takes precedence over\n# *.sink.console.period.\n# 4. A metrics specific configuration\n# \"spark.metrics.conf=${SPARK_HOME}/conf/metrics.properties\" should be\n# added to Java properties using -Dspark.metrics.conf=xxx if you want to\n# customize metrics system. You can also put the file in ${SPARK_HOME}/conf\n# and it will be loaded automatically.\n# 5. MetricsServlet is added by default as a sink in master, worker and client\n# driver, you can send http request \"/metrics/json\" to get a snapshot of all the\n# registered metrics in json format. For master, requests \"/metrics/master/json\" and\n# \"/metrics/applications/json\" can be sent seperately to get metrics snapshot of\n# instance master and applications. MetricsServlet may not be configured by self.\n#\n\n## List of available sinks and their properties.\n\n# org.apache.spark.metrics.sink.ConsoleSink\n# Name: Default: Description:\n# period 10 Poll period\n# unit seconds Units of poll period\n\n# org.apache.spark.metrics.sink.CSVSink\n# Name: Default: Description:\n# period 10 Poll period\n# unit seconds Units of poll period\n# directory /tmp Where to store CSV files\n\n# org.apache.spark.metrics.sink.GangliaSink\n# Name: Default: Description:\n# host NONE Hostname or multicast group of Ganglia server\n# port NONE Port of Ganglia server(s)\n# period 10 Poll period\n# unit seconds Units of poll period\n# ttl 1 TTL of messages sent by Ganglia\n# mode multicast Ganglia network mode ('unicast' or 'multicast')\n\n# org.apache.spark.metrics.sink.JmxSink\n\n# org.apache.spark.metrics.sink.MetricsServlet\n# Name: Default: Description:\n# path VARIES* Path prefix from the web server root\n# sample false Whether to show entire set of samples for histograms ('false' or 'true')\n#\n# * Default path is /metrics/json for all instances except the master. The master has two paths:\n# /metrics/aplications/json # App information\n# /metrics/master/json # Master information\n\n# org.apache.spark.metrics.sink.GraphiteSink\n# Name: Default: Description:\n# host NONE Hostname of Graphite server\n# port NONE Port of Graphite server\n# period 10 Poll period\n# unit seconds Units of poll period\n# prefix EMPTY STRING Prefix to prepend to metric name\n\n## Examples\n# Enable JmxSink for all instances by class name\n#*.sink.jmx.class=org.apache.spark.metrics.sink.JmxSink\n\n# Enable ConsoleSink for all instances by class name\n#*.sink.console.class=org.apache.spark.metrics.sink.ConsoleSink\n\n# Polling period for ConsoleSink\n#*.sink.console.period=10\n\n#*.sink.console.unit=seconds\n\n# Master instance overlap polling period\n#master.sink.console.period=15\n\n#master.sink.console.unit=seconds\n\n# Enable CsvSink for all instances\n#*.sink.csv.class=org.apache.spark.metrics.sink.CsvSink\n\n# Polling period for CsvSink\n#*.sink.csv.period=1\n\n#*.sink.csv.unit=minutes\n\n# Polling directory for CsvSink\n#*.sink.csv.directory=/tmp/\n\n# Worker instance overlap polling period\n#worker.sink.csv.period=10\n\n#worker.sink.csv.unit=minutes\n\n# Enable jvm source for instance master, worker, driver and executor\n#master.source.jvm.class=org.apache.spark.metrics.source.JvmSource\n\n#worker.source.jvm.class=org.apache.spark.metrics.source.JvmSource\n\n#driver.source.jvm.class=org.apache.spark.metrics.source.JvmSource\n\n#executor.source.jvm.class=org.apache.spark.metrics.source.JvmSource" |
| }, |
| "livy-log4j-properties": { |
| "content": "\n # Set everything to be logged to the console\n log4j.rootCategory=INFO, console\n log4j.appender.console=org.apache.log4j.ConsoleAppender\n log4j.appender.console.target=System.err\n log4j.appender.console.layout=org.apache.log4j.PatternLayout\n log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n\n\n log4j.logger.org.eclipse.jetty=WARN" |
| }, |
| "livy-conf": { |
| "livy.server.port": "8998", |
| "livy.server.csrf_protection.enabled": "true", |
| "livy.environment": "production", |
| "livy.impersonation.enabled": "true", |
| "livy.server.session.timeout": "3600000" |
| }, |
| "livy-spark-blacklist": { |
| "content": "\n #\n # Configuration override / blacklist. Defines a list of properties that users are not allowed\n # to override when starting Spark sessions.\n #\n # This file takes a list of property names (one per line). Empty lines and lines starting with \"#\"\n # are ignored.\n #" |
| }, |
| "livy-env": { |
| "livy_group": "livy", |
| "spark_home": "/usr/hdp/current/spark-client", |
| "content": "\n #!/usr/bin/env bash\n\n # - SPARK_HOME Spark which you would like to use in livy\n # - HADOOP_CONF_DIR Directory containing the Hadoop / YARN configuration to use.\n # - LIVY_LOG_DIR Where log files are stored. (Default: ${LIVY_HOME}/logs)\n # - LIVY_PID_DIR Where the pid file is stored. (Default: /tmp)\n # - LIVY_SERVER_JAVA_OPTS Java Opts for running livy server (You can set jvm related setting here, like jvm memory/gc algorithm and etc.)\n export SPARK_HOME=/usr/hdp/current/spark-client\n export HADOOP_CONF_DIR=/etc/hadoop/conf\n export LIVY_LOG_DIR={{livy_log_dir}}\n export LIVY_PID_DIR={{livy_pid_dir}}\n export LIVY_SERVER_JAVA_OPTS=\"-Xmx2g\"", |
| "livy_pid_dir": "/var/run/livy", |
| "livy_log_dir": "/var/log/livy", |
| "livy_user": "livy" |
| }, |
| "logsearch-solr-env": { |
| "logsearch_solr_znode": "/logsearch", |
| "logsearch_solr_user": "solr", |
| "logsearch_solr_client_log_dir" :"/var/log/ambari-logsearch-solr-client" |
| }, |
| "logsearch-solr-client-log4j" : { |
| "content" : "content" |
| }, |
| "application-properties": { |
| "atlas.cluster.name" : "c2", |
| "atlas.rest.address": "http://c6401.ambari.apache.org:21000", |
| "atlas.graph.storage.backend": "berkeleyje", |
| "atlas.graph.storage.directory": "data/berkley", |
| "atlas.graph.index.search.backend": "solr5", |
| "atlas.graph.index.search.directory": "data/es", |
| "atlas.graph.index.search.elasticsearch.client-only": false, |
| "atlas.graph.index.search.elasticsearch.local-mode": true, |
| "atlas.lineage.hive.table.type.name": "Table", |
| "atlas.lineage.hive.column.type.name": "Column", |
| "atlas.lineage.hive.table.column.name": "columns", |
| "atlas.lineage.hive.process.type.name": "LoadProcess", |
| "atlas.lineage.hive.process.inputs.name": "inputTables", |
| "atlas.lineage.hive.process.outputs.name": "outputTables", |
| "atlas.enableTLS": false, |
| "atlas.authentication.method": "simple", |
| "atlas.authentication.principal": "atlas", |
| "atlas.authentication.keytab": "/etc/security/keytabs/atlas.service.keytab", |
| "atlas.http.authentication.enabled": false, |
| "atlas.http.authentication.type": "simple", |
| "atlas.http.authentication.kerberos.principal": "HTTP/_HOST@EXAMPLE.COM", |
| "atlas.http.authentication.kerberos.keytab": "/etc/security/keytabs/spnego.service.keytab", |
| "atlas.http.authentication.kerberos.name.rules": "DEFAULT", |
| "atlas.server.http.port" : "21000", |
| "atlas.notification.embedded" : false, |
| "atlas.kafka.bootstrap.servers" : "c6401.ambari.apache.org:6667", |
| "atlas.kafka.data" : "/usr/hdp/current/atlas-server/data/kafka", |
| "atlas.kafka.entities.group.id" : "entities", |
| "atlas.kafka.hook.group.id" : "atlas", |
| "atlas.kafka.zookeeper.connect" : "c6401.ambari.apache.org:2181" |
| }, |
| "atlas-env": { |
| "content": "# The java implementation to use. If JAVA_HOME is not found we expect java and jar to be in path\nexport JAVA_HOME={{java64_home}}\n# any additional java opts you want to set. This will apply to both client and server operations\nexport METADATA_OPTS={{metadata_opts}}\n# metadata configuration directory\nexport METADATA_CONF={{conf_dir}}\n# Where log files are stored. Defatult is logs directory under the base install location\nexport METADATA_LOG_DIR={{log_dir}}\n# additional classpath entries\nexport METADATACPPATH={{metadata_classpath}}\n# data dir\nexport METADATA_DATA_DIR={{data_dir}}\n# Where do you want to expand the war file. By Default it is in /server/webapp dir under the base install dir.\nexport METADATA_EXPANDED_WEBAPP_DIR={{expanded_war_dir}}", |
| "metadata_user": "atlas", |
| "metadata_port": 21000, |
| "metadata_pid_dir": "/var/run/atlas", |
| "metadata_log_dir": "/var/log/atlas", |
| "metadata_data_dir": "/var/lib/atlas/data", |
| "metadata_expanded_war_dir": "/var/lib/atlas/server/webapp" |
| }, |
| "atlas-log4j": { |
| "content": "<property><name>content</name><description>Custom log4j.properties</description><value></value></property>", |
| "atlas_log_level": "debug", |
| "audit_log_level": "OFF" |
| }, |
| "atlas-solrconfig": { |
| "content": "<property><name>content</name><description>Custom solrconfig properties</description><value></value></property>" |
| }, |
| "zoo.cfg": { |
| "clientPort": "2181" |
| }, |
| "ranger-hbase-plugin-properties": { |
| "ranger-hbase-plugin-enabled":"yes" |
| }, |
| "ranger-hive-plugin-properties": { |
| "ranger-hive-plugin-enabled":"yes" |
| }, |
| "ranger-env": { |
| "xml_configurations_supported" : "true" |
| }, |
| "tagsync-application-properties": { |
| "atlas.kafka.hook.group.id": "atlas", |
| "atlas.kafka.zookeeper.connect": "os-mv-31-dev-4.novalocal:2181", |
| "atlas.kafka.acks": "1", |
| "atlas.kafka.entities.group.id": "ranger_entities_consumer", |
| "atlas.kafka.data": "/usr/hdp/current/atlas-server/data/kafka", |
| "atlas.kafka.bootstrap.servers": "localhost:2181", |
| "atlas.notification.embedded": "false" |
| }, |
| "ranger-tagsync-site": { |
| "ranger.tagsync.sink.impl.class": "org.apache.ranger.tagsync.sink.tagadmin.TagAdminRESTSink", |
| "ranger.tagsync.atlasrestsource.endpoint": "", |
| "ranger.tagsync.tagadmin.rest.ssl.config.file": "/usr/hdp/current/ranger-tagsync/conf/mytruststore.jks", |
| "ranger.tagsync.logdir": "/var/log/ranger/tagsync", |
| "ranger.tagsync.filesource.filename": "/usr/hdp/current/ranger-tagsync/conf/etc/ranger/data/tags.json", |
| "ranger.tagsync.enabled": "true", |
| "ranger.tagsync.tagadmin.rest.url": "{{ranger_external_url}}", |
| "ranger.tagsync.atlasrestsource.download.interval": "", |
| "ranger.tagsync.filesource.modtime.check.interval": "60000", |
| "ranger.tagsync.tagadmin.password": "rangertagsync", |
| "ranger.tagsync.source.impl.class": "file", |
| "ranger.tagsync.source.atlas.custom.resource.mappers": "", |
| "ranger.tagsync.tagadmin.alias": "tagsync.tagadmin", |
| "ranger.tagsync.tagadmin.keystore": "/usr/hdp/current/ranger-tagsync/conf/rangertagsync.jceks", |
| "ranger.tagsync.atlas.to.service.mapping": "" |
| } |
| }, |
| "configuration_attributes": { |
| "sqoop-site": {}, |
| "yarn-site": { |
| "final": { |
| "yarn.nodemanager.disk-health-checker.min-healthy-disks": "true", |
| "yarn.nodemanager.container-executor.class": "true", |
| "yarn.nodemanager.local-dirs": "true" |
| } |
| }, |
| "yarn-site": { |
| "final": { |
| "is_supported_yarn_ranger": "true" |
| } |
| }, |
| "hdfs-site": { |
| "final": { |
| "dfs.web.ugi": "true", |
| "dfs.support.append": "true", |
| "dfs.cluster.administrators": "true" |
| } |
| }, |
| "core-site": { |
| "final": { |
| "hadoop.proxyuser.hive.groups": "true", |
| "webinterface.private.actions": "true", |
| "hadoop.proxyuser.oozie.hosts": "true" |
| } |
| }, |
| "knox-env": {}, |
| "gateway-site": {}, |
| "users-ldif": {}, |
| "kafka-env": {}, |
| "kafka-log4j": {}, |
| "kafka-broker": {}, |
| "metadata-env": {}, |
| "atlas-hbase-site": {}, |
| "tagsync-application-properties": {}, |
| "ranger-tagsync-site": {} |
| }, |
| "configurationTags": { |
| "slider-client": { |
| "tag": "version1" |
| }, |
| "slider-log4j": { |
| "tag": "version1" |
| }, |
| "slider-env": { |
| "tag": "version1" |
| }, |
| "core-site": { |
| "tag": "version1" |
| }, |
| "hdfs-site": { |
| "tag": "version1" |
| }, |
| "yarn-site": { |
| "tag": "version1" |
| }, |
| "gateway-site": { |
| "tag": "version1" |
| }, |
| "topology": { |
| "tag": "version1" |
| }, |
| "users-ldif": { |
| "tag": "version1" |
| }, |
| "kafka-env": { |
| "tag": "version1" |
| }, |
| "kafka-log4j": { |
| "tag": "version1" |
| }, |
| "kafka-broker": { |
| "tag": "version1" |
| }, |
| "metadata-env": { |
| "tag": "version1" |
| }, |
| "tagsync-application-properties": { |
| "tag": "version1" |
| }, |
| "ranger-tagsync-site": { |
| "tag": "version1" |
| } |
| }, |
| "commandId": "7-1", |
| "clusterHostInfo": { |
| "ambari_server_host": [ |
| "c6401.ambari.apache.org" |
| ], |
| "all_ping_ports": [ |
| "8670", |
| "8670" |
| ], |
| "rm_host": [ |
| "c6402.ambari.apache.org" |
| ], |
| "all_hosts": [ |
| "c6401.ambari.apache.org", |
| "c6402.ambari.apache.org" |
| ], |
| "knox_gateway_hosts": [ |
| "jaimin-knox-1.c.pramod-thangali.internal" |
| ], |
| "kafka_broker_hosts": [ |
| "c6401.ambari.apache.org" |
| ], |
| "logsearch_solr_hosts": [ |
| "c6401.ambari.apache.org" |
| ], |
| "zookeeper_hosts": [ |
| "c6401.ambari.apache.org" |
| ], |
| "ranger_tagsync_hosts": [ |
| "c6401.ambari.apache.org" |
| ], |
| "atlas_server_hosts": [ |
| "c6401.ambari.apache.org" |
| ] |
| |
| } |
| } |
