天津做网站最权威的公司,微信公众号买卖平台,哪里可学做网站,网站跳转qq创建服务器,参考
虚拟机创建服务器
节点名字节点IP系统版本master11192.168.50.11centos 8.5slave12192.168.50.12centos 8.5slave13192.168.50.13centos 8.5
1 下载组件
Hadoop:官网地址
Hbase:官网地址
ZooKeeper:官网下载
Hive:官网下载
Sqoop:官网下载
为方便同学…创建服务器,参考
虚拟机创建服务器
节点名字节点IP系统版本master11192.168.50.11centos 8.5slave12192.168.50.12centos 8.5slave13192.168.50.13centos 8.5
1 下载组件
Hadoop:官网地址
Hbase:官网地址
ZooKeeper:官网下载
Hive:官网下载
Sqoop:官网下载
为方便同学们下载特整理到网盘
2 通过xftp 上传软件到服务器,统一放到/data/soft/ 3 配置ZooKeeper tar zxvf apache-zookeeper-3.8.4-bin.tar.gz
mv apache-zookeeper-3.8.4-bin/ /data/zookeeper
#修改配置文件
cd /data/zookeeper/conf
cp zoo_sample.cfg zoo.cfg
#创建数据保存目录
mkdir -p /data/zookeeper/zkdata
mkdir -p /data/zookeeper/logs
vim zoo.cfg
dataDir/tmp/zookeeper--dataDir/data/zookeeper/zkdata
dataLogDir/data/zookeeper/logs
server.1master11:2888:3888
server.2slave12:2888:3888
server.3slave13:2888:3888#配置环境变量
vim /etc/profile
export ZooKeeper_HOME/data/zookeeper
export PATH$PATH:$ZooKeeper_HOME/bin
source /etc/profile
#新建myid并且写入对应的myid
[rootmaster11 zkdata]# cat myid
1
#对应修改
slave12
myid--2
slave13
myid--3
4 配置HBase
tar zxvf hbase-2.5.8-bin.tar.gz
mv hbase-2.5.8/ /data/hbase
mkdir -p /data/hbase/logs
#vim /etc/profile
export HBASE_LOG_DIR/data/hbase/logs
export HBASE_MANAGES_ZKfalse
export HBASE_HOME/data/hbase
export PATH$PATH:$ZooKeeper_HOME/bin
#vim /data/hbase/conf/regionservers
slave12
slave13
#新建backup-masters
vim /data/hbase/conf/backup-masters
slave12
#vim /data/hbase/conf/hbase-site.xmlpropertynamehbase.cluster.distributed/namevaluetrue/value/property
!--HBase端口--
propertynamehbase.master.info.port/namevalue16010/value
/property
propertynamehbase.zookeeper.quorum/namevaluemaster11,slave12,slave13/value/property
propertynamehbase.rootdir/namevaluehdfs://master11:9000/hbase/value/property
propertynamehbase.wal.provider/namevaluefilesystem/value
/property 5 配置hadoop
tar zxvf hadoop-3.4.0.tar.gz
mv hadoop-3.4.0/ /data/hadoop
#配置环境变量
vim /etc/profile
export HADOOP_HOME/data/hadoop
export PATH$PATH:$HADOOP_HOME/bin:$PATH:$HADOOP_HOME/sbin
source /etc/profile
#查看版本
[rootmaster11 soft]# hadoop version
Hadoop 3.4.0
Source code repository gitgithub.com:apache/hadoop.git -r bd8b77f398f626bb7791783192ee7a5dfaeec760
Compiled by root on 2024-03-04T06:35Z
Compiled on platform linux-x86_64
Compiled with protoc 3.21.12
From source with checksum f7fe694a3613358b38812ae9c31114e
This command was run using /data/hadoop/share/hadoop/common/hadoop-common-3.4.0.jar
6 修改hadoop配置文件
#core-site.xml
vim /data/hadoop/etc/hadoop/core-site.xml
#增加如下
configuration
propertynamefs.defaultFS/namevaluehdfs://master11/value
/property
!-- hadoop 本地数据存储目录 format 时自动生成 --
propertynamehadoop.tmp.dir/namevalue/data/hadoop/data/tmp/value
/property
!-- 在 WebUI访问 HDFS 使用的用户名。--
propertynamehadoop.http.staticuser.user/namevalueroot/value
/property
propertynamehadoop.proxyuser.hadoop.hosts/namevalue*/value
/property
propertynamehadoop.proxyuser.root.hosts/namevalue*/value
/property
propertynamehadoop.proxyuser.root.groups/namevalue*/value
/property
propertynameha.zookeeper.quorum/namevaluemaster11:2181,slave12:2181,slave13:2181/value/propertypropertynameha.zookeeper.session-timeout.ms/namevalue10000/value/property
/configuration#hdfs-site.xml
vim /data/hadoop/etc/hadoop/hdfs-site.xmlconfiguration!-- 副本数dfs.replication默认值3可不配置 --propertynamedfs.replication/namevalue3/value/property!-- 节点数据存储地址 --propertynamedfs.namenode.name.dir/namevalue/data/hadoop/data/dfs/name/value/propertypropertynamedfs.datanode.data.dir/namevalue/data/hadoop/data/dfs/data/value/property!-- 主备配置 --!-- 为namenode集群定义一个services name --propertynamedfs.nameservices/namevaluemycluster/value/property!-- 声明集群有几个namenode节点 --propertynamedfs.ha.namenodes.mycluster/namevaluenn1,nn2/value/property!-- 指定 RPC通信地址 的地址 --propertynamedfs.namenode.rpc-address.mycluster.nn1/namevaluemaster11:8020/value/property!-- 指定 RPC通信地址 的地址 --propertynamedfs.namenode.rpc-address.mycluster.nn2/namevalueslave12:8020/value/property!-- http通信地址 web端访问地址 --propertynamedfs.namenode.http-address.mycluster.nn1/namevaluemaster11:50070/value/property!-- http通信地址 web 端访问地址 --propertynamedfs.namenode.http-address.mycluster.nn2/namevalueslave12:50070/value/property!-- 声明journalnode集群服务器 --propertynamedfs.namenode.shared.edits.dir/namevalueqjournal://master11:8485;slave12:8485;slave13:8485/mycluster/value/property!-- 声明journalnode服务器数据存储目录 --propertynamedfs.journalnode.edits.dir/namevalue/data/hadoop/data/dfs/jn/value/property!-- 开启NameNode失败自动切换 --propertynamedfs.ha.automatic-failover.enabled/namevaluetrue/value/property!-- 隔离同一时刻只能有一台服务器对外响应 --propertynamedfs.ha.fencing.methods/namevaluesshfenceshell(/bin/true)/value/property!-- 配置失败自动切换实现方式,通过ConfiguredFailoverProxyProvider这个类实现自动切换 --propertynamedfs.client.failover.proxy.provider.mycluster/namevalueorg.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider/value/property!-- 指定上述选项ssh通讯使用的密钥文件在系统中的位置。 --propertynamedfs.ha.fencing.ssh.private-key-files/namevalue/root/.ssh/id_rsa/value/property!-- 配置sshfence隔离机制超时时间active异常standby如果没有在30秒之内未连接上那么standby将变成active --propertynamedfs.ha.fencing.ssh.connect-timeout/namevalue30000/value/propertypropertynamedfs.ha.fencing.methods/namevaluesshfence/value/property
!-- 开启hdfs允许创建目录的权限配置hdfs-site.xml --propertynamedfs.permissions.enabled/namevaluefalse/value/property!-- 使用hosthostName的配置方式 --propertynamedfs.namenode.datanode.registration.ip-hostname-check/namevaluefalse/value/property
propertynamedfs.webhdfs.enabled/namevaluetrue/value
/property
!-- 开启自动化 启动zkfc --
propertynamedfs.ha.automatic-failover.enabled/namevaluetrue/value
/property
propertynameipc.client.connect.max.retries/namevalue100/valuedescriptionIndicates the number of retries a client will make to establish a server connection./description
/property
propertynameipc.client.connect.retry.interval/namevalue10000/valuedescriptionIndicates the number of milliseconds a client will wait for before retrying to establish a server connection./description
/property/configuration#yarn-site.xml
vi /data/hadoop/etc/hadoop/yarn-site.xml
configuration!-- 指定yarn占电脑资源默认8核8g --propertynameyarn.nodemanager.resource.cpu-vcores/namevalue2/value
/property
propertynameyarn.nodemanager.resource.memory-mb/namevalue4096/value
/propertypropertynameyarn.log.server.url/namevaluehttp://node10:19888/jobhistory/logs/value
/property!-- 指定 MR 走 shuffle --propertynameyarn.nodemanager.aux-services/namevaluemapreduce_shuffle/value/property!-- 开启日志聚集功能 --propertynameyarn.log-aggregation-enable/namevaluetrue/value/property!-- 设置日志保留时间为 7 天 --propertynameyarn.log-aggregation.retain-seconds/namevalue86400/value/property!-- 主备配置 --!-- 启用resourcemanager ha --propertynameyarn.resourcemanager.ha.enabled/namevaluetrue/value/propertypropertynameyarn.resourcemanager.cluster-id/namevaluemy-yarn-cluster/value/property!-- 声明两台resourcemanager的地址 --propertynameyarn.resourcemanager.ha.rm-ids/namevaluerm1,rm2/value/propertypropertynameyarn.resourcemanager.hostname.rm1/namevalueslave12/value/propertypropertynameyarn.resourcemanager.hostname.rm2/namevalueslave13/value/propertypropertynameyarn.resourcemanager.webapp.address.rm1/namevalueslave12:8088/value/propertypropertynameyarn.resourcemanager.webapp.address.rm2/namevalueslave13:8088/value/property!-- 指定zookeeper集群的地址 --propertynameyarn.resourcemanager.zk-address/namevaluemaster11:2181,slave12:2181,slave13:2181/value/property!-- 启用自动恢复 --propertynameyarn.resourcemanager.recovery.enabled/namevaluetrue/value/property!-- 指定resourcemanager的状态信息存储在zookeeper集群 --propertynameyarn.resourcemanager.store.class/namevalueorg.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore/value/propertypropertynameyarn.scheduler.maximum-allocation-mb/namevalue2048/value/propertypropertynameyarn.scheduler.minimum-allocation-mb/namevalue2048/value/propertypropertynameyarn.nodemanager.vmem-pmem-ratio/namevalue2.1/value/propertypropertynamemapred.child.java.opts/namevalue-Xmx1024m/value/propertypropertynameyarn.resourcemanager.address.rm1/namevalueslave12:8032/value/propertypropertynameyarn.resourcemanager.scheduler.address.rm1/namevalueslave12:8030/value/propertypropertynameyarn.resourcemanager.resource-tracker.address.rm1/namevalueslave12:8031/value/propertypropertynameyarn.resourcemanager.admin.address.rm1/namevalueslave12:8033/value/propertypropertynameyarn.nodemanager.address.rm1/namevalueslave12:8041/value/propertypropertynameyarn.resourcemanager.address.rm2/namevalueslave13:8032/value/propertypropertynameyarn.resourcemanager.scheduler.address.rm2/namevalueslave13:8030/value/propertypropertynameyarn.resourcemanager.resource-tracker.address.rm2/namevalueslave13:8031/value/propertypropertynameyarn.resourcemanager.admin.address.rm2/namevalueslave13:8033/value/propertypropertynameyarn.nodemanager.address.rm2/namevalueslave13:8041/value/propertypropertynameyarn.nodemanager.localizer.address/namevalue0.0.0.0:8040/value/propertypropertydescriptionNM Webapp address./descriptionnameyarn.nodemanager.webapp.address/namevalue0.0.0.0:8042/value/property
propertynameyarn.nodemanager.address/namevalue${yarn.resourcemanager.hostname}:8041/value
/property
propertynameyarn.application.classpath/namevalue/data/hadoop/etc/hadoop:/data/hadoop/share/hadoop/common/lib/*:/data/hadoop/share/hadoop/common/*:/data/hadoop/share/hadoop/hdfs:/data/hadoop/share/hadoop/hdfs/lib/*:/data/hadoop/share/hadoop/hdfs/*:/data/hadoop/share/hadoop/mapreduce/lib/*:/data/hadoop/share/hadoop/mapreduce/*:/data/hadoop/share/hadoop/yarn:/data/hadoop/share/hadoop/yarn/lib/*
:/data/hadoop/share/hadoop/yarn/*/value /property
/configuration#修改workers
vi /data/hadoop/etc/hadoop/workers
master11
slave12
slave13
7 分发文件和配置
#master11
cd /data/
scp -r hadoop/ slave12:/data
scp -r hadoop/ slave13:/data
scp -r hbase/ slave13:/data
scp -r hbase/ slave12:/data
scp -r zookeeper/ slave12:/data
scp -r zookeeper/ slave13:/data
#3台服务器的/etc/profile 变量一致
export JAVA_HOME/usr/local/jdk
export PATH$JAVA_HOME/bin:$PATH
CLASSPATH.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar
export CLASSPATHexport HADOOP_HOME/data/hadoop
export PATH$PATH:$HADOOP_HOME/bin:$PATH:$HADOOP_HOME/sbin
export ZooKeeper_HOME/data/zookeeper
export PATH$PATH:$ZooKeeper_HOME/bin
#
export HBASE_LOG_DIR/data/hbase/logs
export HBASE_MANAGES_ZKfalse
export HBASE_HOME/data/hbase
export PATH$PATH:$ZooKeeper_HOME/binexport HIVE_HOME/data/hive
export PATH$PATH:$HIVE_HOME/bin
export HDFS_NAMENODE_USERroot
export HDFS_DATANODE_USERroot
export HDFS_SECONDARYNAMENODE_USERroot
export YARN_RESOURCEMANAGER_USERroot
export YARN_NODEMANAGER_USERroot
export HDFS_ZKFC_USERroot
export HDFS_DATANODE_SECURE_USERroot
export HDFS_JOURNALNODE_USERroot8 集群启动
#HA模式第一次或删除在格式化版本
#第一次需要格式化,master11上面
start-dfs.sh
hdfs namenode -format
ll /data/hadoop/data/dfs/name/current/
total 16
-rw-r--r--. 1 root root 399 May 13 20:21 fsimage_0000000000000000000
-rw-r--r--. 1 root root 62 May 13 20:21 fsimage_0000000000000000000.md5
-rw-r--r--. 1 root root 2 May 13 20:21 seen_txid
-rw-r--r--. 1 root root 218 May 13 20:21 VERSION
#同步数据到slave12节点(其余namenode节点)
scp -r /data/hadoop/data/dfs/name/* slave12:/data/hadoop/data/dfs/name/
#成功如图 #在任意一台 NameNode上初始化 ZooKeeper 中的 HA 状态
[rootmaster11 hadoop]# jps
2400 QuorumPeerMain
4897 Jps
3620 JournalNode
3383 DataNode
#
hdfs zkfc -formatZK
#如下图 #集群正常启动顺序
#zookeeper,3台服务器都执行
zkServer.sh start
#查看
[rootmaster11 ~]# zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /data/zookeeper/bin/../conf/zoo.cfg
Client port found: 2181. Client address: localhost. Client SSL: false.
Mode: follower
[rootslave12 data]# zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /data/zookeeper/bin/../conf/zoo.cfg
Client port found: 2181. Client address: localhost. Client SSL: false.
Mode: leader
[rootslave13 ~]# zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /data/zookeeper/bin/../conf/zoo.cfg
Client port found: 2181. Client address: localhost. Client SSL: false.
Mode: follower
#master11 ,hadoop集群一键启动
start-all.sh start
#一键停止
stop-all.sh
#jps 查看如图 #查看集群状态
#NameNode
[rootmaster11 ~]# hdfs haadmin -getServiceState nn1
active
[rootmaster11 ~]# hdfs haadmin -getServiceState nn2
standby
[rootmaster11 ~]# hdfs haadmin -ns mycluster -getAllServiceState
master11:8020 active
slave12:8020 standby
#yarn
[rootmaster11 ~]# yarn rmadmin -getServiceState rm1
standby
[rootmaster11 ~]# yarn rmadmin -getServiceState rm2
active#查看HDFS web ui #查看 yarn集群 9 hadoop 测试使用
#创建目录
hdfs dchaungfs -mkdir /testdata
#查看
[rootmaster11 ~]# hdfs dfs -ls /
Found 2 items
drwxr-xr-x - root supergroup 0 2024-05-14 17:00 /hbase
drwxr-xr-x - root supergroup 0 2024-05-14 20:32 /testdata
#上传文件
hdfs dfs -put jdk-8u191-linux-x64.tar.gz /testdata
#查看文件
[rootmaster11 soft]# hdfs dfs -ls /testdata/
Found 1 items
-rw-r--r-- 3 root supergroup 191753373 2024-05-14 20:40 /testdata/jdk-8u191-linux-x64.tar.gz 10 启动Hbase,hadoop的active节点
[rootmaster11 ~]# hdfs haadmin -getServiceState nn1
active
#启动
start-hbase.sh
#查看
[rootmaster11 ~]# jps
16401 NodeManager
15491 NameNode
21543 HMaster
15848 JournalNode
1435 QuorumPeerMain
16029 DFSZKFailoverController
21902 Jps
15631 DataNode 11 安装Hive
#解压和配置环境变量
tar zxvf apache-hive-4.0.0-bin.tar.gz
mv apache-hive-4.0.0-bin/ /data/hive
#环境变量
vi /etc/profile
export HIVE_HOME/data/hive
export PATH$PATH:$HIVE_HOME/bin
source /etc/profile
# 安装mysql ,可参考
mysql 8.3 二进制版本安装
#mysql驱动
mv mysql-connector-java-8.0.29.jar /data/hive/lib/
schematool -dbType mysql -initSchema
#报错
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/data/hive/lib/log4j-slf4j-impl-2.18.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/data/hadoop/share/hadoop/common/lib/slf4j-reload4j-1.7.36.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
Exception in thread main [com.ctc.wstx.exc.WstxLazyException] com.ctc.wstx.exc.WstxUnexpectedCharException: Unexpected character (code 61); expected a semi-colon after the reference for entity characterEncodingat [row,col,system-id]: [5,86,file:/data/hive/conf/hive-site.xml]at com.ctc.wstx.exc.WstxLazyException.throwLazily(WstxLazyException.java:40)at com.ctc.wstx.sr.StreamScanner.throwLazyError(StreamScanner.java:737)at com.ctc.wstx.sr.BasicStreamReader.safeFinishToken(BasicStreamReader.java:3745)at com.ctc.wstx.sr.BasicStreamReader.getTextCharacters(BasicStreamReader.java:914)at org.apache.hadoop.conf.Configuration$Parser.parseNext(Configuration.java:3434)at org.apache.hadoop.conf.Configuration$Parser.parse(Configuration.java:3213)at org.apache.hadoop.conf.Configuration.loadResource(Configuration.java:3106)at org.apache.hadoop.conf.Configuration.loadResources(Configuration.java:3072)at org.apache.hadoop.conf.Configuration.loadProps(Configuration.java:2945)at org.apache.hadoop.conf.Configuration.getProps(Configuration.java:2927)at org.apache.hadoop.conf.Configuration.set(Configuration.java:1431)at org.apache.hadoop.conf.Configuration.set(Configuration.java:1403)at org.apache.hadoop.hive.metastore.conf.MetastoreConf.newMetastoreConf(MetastoreConf.java:2120)at org.apache.hadoop.hive.metastore.conf.MetastoreConf.newMetastoreConf(MetastoreConf.java:2072)at org.apache.hive.beeline.schematool.HiveSchemaTool.main(HiveSchemaTool.java:144)at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)at java.lang.reflect.Method.invoke(Method.java:498)at org.apache.hadoop.util.RunJar.run(RunJar.java:330)at org.apache.hadoop.util.RunJar.main(RunJar.java:245)
Caused by: com.ctc.wstx.exc.WstxUnexpectedCharException: Unexpected character (code 61); expected a semi-colon after the reference for entity characterEncodingat [row,col,system-id]: [5,86,file:/data/hive/conf/hive-site.xml]at com.ctc.wstx.sr.StreamScanner.throwUnexpectedChar(StreamScanner.java:666)at com.ctc.wstx.sr.StreamScanner.parseEntityName(StreamScanner.java:2080)at com.ctc.wstx.sr.StreamScanner.fullyResolveEntity(StreamScanner.java:1538)at com.ctc.wstx.sr.BasicStreamReader.readTextSecondary(BasicStreamReader.java:4765)at com.ctc.wstx.sr.BasicStreamReader.finishToken(BasicStreamReader.java:3789)at com.ctc.wstx.sr.BasicStreamReader.safeFinishToken(BasicStreamReader.java:3743)... 18 more
#解决 vi /data/hive/conf/hive-site.xml
字符 需要转义 改成 amp;
#成功提示 Initialization script completed
数据库如下图#启动hive 在master11,mysql 安装在slave12
cd /data/hive/
nohup hive --service metastore 启动hive元数据服务
nohup ./bin/hiveserver2 启动jdbc连接服务
#直接hive,提示“No current connection”
hive
[rootmaster11 hive]# hive
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/data/hive/lib/log4j-slf4j-impl-2.18.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/data/hadoop/share/hadoop/common/lib/slf4j-reload4j-1.7.36.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/data/hive/lib/log4j-slf4j-impl-2.18.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/data/hadoop/share/hadoop/common/lib/slf4j-reload4j-1.7.36.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
Beeline version 4.0.0 by Apache Hive
beeline show databases;
No current connection
beeline
#在提示符 输入!connect jdbc:hive2://master11:10000之后输入mysql用户和密码
beeline !connect jdbc:hive2://master11:10000
Connecting to jdbc:hive2://master11:10000
Enter username for jdbc:hive2://master11:10000: root
Enter password for jdbc:hive2://master11:10000: *********
Connected to: Apache Hive (version 4.0.0)
Driver: Hive JDBC (version 4.0.0)
Transaction isolation: TRANSACTION_REPEATABLE_READ
0: jdbc:hive2://master11:10000 show databases;
INFO : Compiling command(queryIdroot_20240514222349_ac19af6a-3c43-49fd-bcd0-25fc0e5b76c6): show databases
INFO : Semantic Analysis Completed (retrial false)
INFO : Created Hive schema: Schema(fieldSchemas:[FieldSchema(name:database_name, type:string, comment:from deserializer)], properties:null)
INFO : Completed compiling command(queryIdroot_20240514222349_ac19af6a-3c43-49fd-bcd0-25fc0e5b76c6); Time taken: 0.021 seconds
INFO : Concurrency mode is disabled, not creating a lock manager
INFO : Executing command(queryIdroot_20240514222349_ac19af6a-3c43-49fd-bcd0-25fc0e5b76c6): show databases
INFO : Starting task [Stage-0:DDL] in serial mode
INFO : Completed executing command(queryIdroot_20240514222349_ac19af6a-3c43-49fd-bcd0-25fc0e5b76c6); Time taken: 0.017 seconds
----------------
| database_name |
----------------
| default |
----------------
1 row selected (0.124 seconds)
0: jdbc:hive2://master11:10000
