安科网

Linux搭建Hbase开发环境

maoyg0

maoyg0

2018-04-29

关注 关注
Linux搭建Hbase环境：
1.Hbase基本概念：
Linux搭建Hbase开发环境
Linux搭建Hbase开发环境

HBase的基本概念和定位

HBase是一个分布式的、面向列的开源数据库，该技术来源于 Fay Chang 所撰写的Google论文“Bigtable：一个结构化数据的分布式存储系统”。就像Bigtable利用了Google文件系统（File System）所提供的分布式数据存储一样，HBase在Hadoop之上提供了类似于Bigtable的能力。HBase是Apache的Hadoop项目的子项目。HBase不同于一般的关系数据库，它是一个适合于非结构化数据存储的数据库。另一个不同的是HBase基于列的而不是基于行的模式。
HBase – Hadoop Database，是一个高可靠性、高性能、面向列、可伸缩的分布式存储系统，利用HBase技术可在廉价PC Server上搭建起大规模结构化存储集群。

HBase的用途

  1. 海量数据存储
  2. 准实时查询

HBase的应用场景及特点

  1. 交通
  2. 金融
  3. 电商
  4. 移动（电话信息）等

HBase的特点

  1. 容量大
HBase单表可以有上百亿行、百万列，数据矩阵横向和纵向两个维度所支持的数据量级都非常具有弹性。 
2. 面向列
HBase是面向列的存储和权限控制，并支持独立检索。列式存储，其数据在表中是按照某列存储的，这样在查询只需要少数几个字段的时候，能大大减少读取的数据量。
  1. 多版本
HBase每一个列的数据存储有多个Version（version）。
  1. 稀疏性
为空的列并不占用存储空间，表可以设计的非常稀疏。
  1. 扩展性
底层依赖于HDFS
  1. 高可靠性
WAL机制保证了数据写入时不会因集群异常而导致写入数据丢失：Replication机制保证了在集群出现严重的问题时，数据不会发生丢失或损坏。而且HBase底层使用HDFS，HDFS本身也有备份。
7.高性能
底层的LSM数据结构和Rowkey有序排列等架构上的独特设计，使得HBase具有非常高的写入性能。region切分、主键索引和缓存机制使得HBase在海量数据下具备一定的随机读取性能，该性能针对Rowkey的查询能够达到毫秒级别。

HBase架构体系与设计模型

HBase架构体系

Linux搭建Hbase开发环境Linux搭建Hbase开发环境
 
2.Hbase环境搭建
【1】官网【http://hbase.apache.org/】下载Hbase安装包：hbase-1.4.3-bin.tar.gz
Linux搭建Hbase开发环境
Linux搭建Hbase开发环境
Linux搭建Hbase开发环境
Linux搭建Hbase开发环境
【2】利用Xftp5工具把【hbase-1.4.3-bin.tar.gz】上传到服务器Hbase目录：/usr/local/hbase
Linux搭建Hbase开发环境
 
【3】利用Xhell5工具登录到服务器，并且进入到：cd /usr/local/hbase
Connecting to 192.168.3.4:22...
Connection established.
To escape to local shell, press 'Ctrl+Alt+]'.
 
Last login: Wed Apr  4 10:28:30 2018
[root@marklin ~]# cd /usr/local/hbase
 
Linux搭建Hbase开发环境
 
【4】输入tar -xvf 命令解压安装包：tar -xvf  hbase-1.4.3-bin.tar.gz
[root@marklin hbase]# tar -xvf  hbase-1.4.3-bin.tar.gz
[root@marklin hbase]# ll
total 110240
drwxr-xr-x. 7 root root       160 Apr  4 10:53 hbase-1.4.3
-rw-r--r--. 1 root root 112883512 Apr  4 10:46 hbase-1.4.3-bin.tar.gz
[root@marklin hbase]#
 
Linux搭建Hbase开发环境
【5】配置Hbase环境变量：输入：vim /etc/profile
#Setting NODE_HOME PATH
export NODE_HOME=/usr/local/nodejs/node-v9.10.1
export PATH=${PATH}:${NODE_HOME}/bin
export HBASE_HOME=/usr/local/hbase/hbase-1.4.3
export PATH=${PATH}:${HBASE_HOME}/bin
export  HBASE_MANAGES_ZK=false
 
Linux搭建Hbase开发环境
PS:Hbase环境安装需要Zookeeper和Java开发环境的支持，本机操作已经默认安装Zookeeper和Java开发环境以及Hadoop环境，以便于后期Hadoop和Hbase整合
【6】利用Xshell5工具登录连接到Linux服务器，进入： cd /usr/local/hbase/hbase-1.4.3
[root@marklin ~]# cd /usr/local/hbase/hbase-1.4.3
[root@marklin hbase-1.4.3]# ll
total 776
drwxr-xr-x.  4 root root    4096 Mar 21 13:12 bin
-rw-r--r--.  1 root wheel 213809 Mar 21 13:12 CHANGES.txt
drwxr-xr-x.  2 root root     178 Mar 21 13:12 conf
drwxr-xr-x. 12 root root    4096 Mar 21 20:20 docs
drwxr-xr-x.  7 root root      80 Mar 21 20:12 hbase-webapps
-rw-r--r--.  1 root wheel    261 Mar 21 20:24 LEGAL
drwxr-xr-x.  3 root root    8192 Apr  4 10:53 lib
-rw-r--r--.  1 root wheel 143082 Mar 21 20:24 LICENSE.txt
-rw-r--r--.  1 root wheel 404470 Mar 21 20:24 NOTICE.txt
-rw-r--r--.  1 root wheel   1477 Mar 21 13:12 README.txt
[root@marklin hbase-1.4.3]#
 
Linux搭建Hbase开发环境
 
【7】Habse配置文件修改
进入hbase的conf目录，需要修改三个文件：hbase-env.sh、hbase-site.xml和regionservers：
(1).修改配置文件hbase-site.xml：
<configuration>
    <property>
        <name>hbase.rootdir</name>
        <value>hdfs://marklin.com:9000/hbase</value>
    </property>
    <property>
        <name>hbase.cluster.distributed</name>
        <value>true</value>
    </property>
    <property>
        <name>hbase.tmp.dir</name>
        <value>/usr/local/hbase/repository/data/tmp</value>
    </property>
    <property>
        <name>zookeeper.session.timeout</name>
        <value>120000</value>
    </property>
    <property>
        <name>hbase.master.maxclockskew</name>
        <value>150000</value>
    </property>
    <property>
        <name>hbase.zookeeper.quorum</name>
        <value>marklin.com:2182,marklin.com:2183,marklin.com:2184</value>
    </property>
    <property>
        <name>dfs.replication</name>
        <value>1</value>
    </property>
    <property>
        <name>hbase.master</name>
        <value>marklin.com:60000</value>
  </property>
</configuration>
 
Linux搭建Hbase开发环境
 
（2） 修改hbase-env.sh:
# export JAVA_HOME=/usr/java/jdk1.6.0/
export JAVA_HOME=/usr/local/java/jdk1.8.0_162
export HADOOP_HOME=/usr/local/hadoop/hadoop-2.7.5
export HBASE_HOME=/usr/local/hbase/hbase-1.4.3
# export HBASE_CLASSPATH=
export HBASE_CLASSPATH=/usr/local/hadoop/hadoop-2.7.5/etc/hadoop
export HBASE_PID_DIR=//usr/local/hbase/repository/pids
export HBASE_LOG_DIR=/usr/local/hbase/repository/logs
# export HBASE_MANAGES_ZK=true
 export HBASE_MANAGES_ZK=false
 
Linux搭建Hbase开发环境
Linux搭建Hbase开发环境
【8】启动测试Hbase：
启动Hbase需要Hadoop和Zookeeper支持，启动顺序：hadoop hdfs—> zookeeper——>hbase :
[1]启动Hadoop，输入：hdfs namenode -format
[root@marklin ~]# hdfs namenode -format
18/04/28 13:37:02 INFO namenode.NameNode: STARTUP_MSG:
/************************************************************
STARTUP_MSG: Starting NameNode
STARTUP_MSG:   host = marklin.com/192.168.3.4
STARTUP_MSG:   args = [-format]
STARTUP_MSG:   version = 2.7.5
STARTUP_MSG:   classpath = /usr/local/hadoop/hadoop-2.7.5/etc/hadoop:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/commons-cli-1.2.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/jettison-1.1.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/curator-framework-2.7.1.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/java-xmlbuilder-0.4.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/slf4j-api-1.7.10.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/commons-digester-1.8.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/httpclient-4.2.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/api-asn1-api-1.0.0-M20.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/hadoop-auth-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/jersey-server-1.9.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/mockito-all-1.8.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/commons-httpclient-3.1.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/jersey-core-1.9.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/xmlenc-0.52.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/jackson-mapper-asl-1.9.13.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/jersey-json-1.9.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/curator-client-2.7.1.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/avro-1.7.4.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/commons-net-3.1.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/jackson-xc-1.9.13.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/log4j-1.2.17.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/gson-2.2.4.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/hamcrest-core-1.3.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/commons-io-2.4.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/commons-configuration-1.6.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/activation-1.1.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/api-util-1.0.0-M20.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/jets3t-0.9.0.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/apacheds-i18n-2.0.0-M15.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/hadoop-annotations-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/jetty-util-6.1.26.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/commons-collections-3.2.2.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/zookeeper-3.4.6.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/jackson-core-asl-1.9.13.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/jsch-0.1.54.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/commons-math3-3.1.1.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/servlet-api-2.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/commons-logging-1.1.3.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/jsr305-3.0.0.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/xz-1.0.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/jaxb-api-2.2.2.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/jetty-sslengine-6.1.26.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/curator-recipes-2.7.1.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/guava-11.0.2.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/httpcore-4.2.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/junit-4.11.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/jackson-jaxrs-1.9.13.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/paranamer-2.3.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/jsp-api-2.1.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/asm-3.2.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/stax-api-1.0-2.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/apacheds-kerberos-codec-2.0.0-M15.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/commons-codec-1.4.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/jetty-6.1.26.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/htrace-core-3.1.0-incubating.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/lib/commons-lang-2.6.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/hadoop-common-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/hadoop-common-2.7.5-tests.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/common/hadoop-nfs-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/xml-apis-1.3.04.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/netty-all-4.0.23.Final.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/jersey-core-1.9.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/xmlenc-0.52.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/jackson-mapper-asl-1.9.13.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/leveldbjni-all-1.8.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/commons-io-2.4.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/jetty-util-6.1.26.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/jackson-core-asl-1.9.13.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/xercesImpl-2.9.1.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/servlet-api-2.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/commons-logging-1.1.3.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/jsr305-3.0.0.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/guava-11.0.2.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/asm-3.2.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/jetty-6.1.26.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/htrace-core-3.1.0-incubating.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/lib/commons-lang-2.6.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/hadoop-hdfs-nfs-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/hadoop-hdfs-2.7.5-tests.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/hdfs/hadoop-hdfs-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/guice-3.0.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/commons-cli-1.2.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/jettison-1.1.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/jersey-server-1.9.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/jersey-core-1.9.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/jackson-mapper-asl-1.9.13.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/jersey-json-1.9.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/jackson-xc-1.9.13.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/leveldbjni-all-1.8.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/log4j-1.2.17.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/commons-io-2.4.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/activation-1.1.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/jetty-util-6.1.26.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/commons-collections-3.2.2.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/zookeeper-3.4.6.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/jackson-core-asl-1.9.13.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/jaxb-impl-2.2.3-1.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/javax.inject-1.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/jersey-client-1.9.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/servlet-api-2.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/commons-logging-1.1.3.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/jsr305-3.0.0.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/xz-1.0.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/jaxb-api-2.2.2.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/guava-11.0.2.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/zookeeper-3.4.6-tests.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/jackson-jaxrs-1.9.13.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/asm-3.2.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/stax-api-1.0-2.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/aopalliance-1.0.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/commons-codec-1.4.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/jetty-6.1.26.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/lib/commons-lang-2.6.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-api-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-registry-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-client-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-server-tests-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-server-sharedcachemanager-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-server-applicationhistoryservice-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-server-common-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-common-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/lib/guice-3.0.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.9.13.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/lib/avro-1.7.4.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/lib/leveldbjni-all-1.8.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/lib/hamcrest-core-1.3.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/lib/commons-io-2.4.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/lib/hadoop-annotations-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/lib/jackson-core-asl-1.9.13.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/lib/javax.inject-1.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/lib/xz-1.0.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/lib/junit-4.11.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/lib/asm-3.2.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7.5-tests.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.7.5.jar:/usr/local/hadoop/hadoop-2.7.5/contrib/capacity-scheduler/*.jar
STARTUP_MSG:   build = https://[email protected]/repos/asf/hadoop.git -r 18065c2b6806ed4aa6a3187d77cbe21bb3dba075; compiled by 'kshvachk' on 2017-12-16T01:06Z
STARTUP_MSG:   java = 1.8.0_162
************************************************************/
18/04/28 13:37:02 INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT]
18/04/28 13:37:02 INFO namenode.NameNode: createNameNode [-format]
18/04/28 13:37:03 WARN common.Util: Path /usr/local/hadoop/repository/hdfs/name should be specified as a URI in configuration files. Please update hdfs configuration.
18/04/28 13:37:03 WARN common.Util: Path /usr/local/hadoop/repository/hdfs/name should be specified as a URI in configuration files. Please update hdfs configuration.
Formatting using clusterid: CID-7c7c3820-9596-4e47-9c3a-486568b4f052
18/04/28 13:37:03 INFO namenode.FSNamesystem: No KeyProvider found.
18/04/28 13:37:03 INFO namenode.FSNamesystem: fsLock is fair: true
18/04/28 13:37:03 INFO namenode.FSNamesystem: Detailed lock hold time metrics enabled: false
18/04/28 13:37:03 INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit=1000
18/04/28 13:37:03 INFO blockmanagement.DatanodeManager: dfs.namenode.datanode.registration.ip-hostname-check=true
18/04/28 13:37:03 INFO blockmanagement.BlockManager: dfs.namenode.startup.delay.block.deletion.sec is set to 000:00:00:00.000
18/04/28 13:37:03 INFO blockmanagement.BlockManager: The block deletion will start around 2018 Apr 28 13:37:03
18/04/28 13:37:03 INFO util.GSet: Computing capacity for map BlocksMap
18/04/28 13:37:03 INFO util.GSet: VM type       = 64-bit
18/04/28 13:37:03 INFO util.GSet: 2.0% max memory 889 MB = 17.8 MB
18/04/28 13:37:03 INFO util.GSet: capacity      = 2^21 = 2097152 entries
18/04/28 13:37:03 INFO blockmanagement.BlockManager: dfs.block.access.token.enable=false
18/04/28 13:37:03 INFO blockmanagement.BlockManager: defaultReplication         = 2
18/04/28 13:37:03 INFO blockmanagement.BlockManager: maxReplication             = 512
18/04/28 13:37:03 INFO blockmanagement.BlockManager: minReplication             = 1
18/04/28 13:37:03 INFO blockmanagement.BlockManager: maxReplicationStreams      = 2
18/04/28 13:37:03 INFO blockmanagement.BlockManager: replicationRecheckInterval = 3000
18/04/28 13:37:03 INFO blockmanagement.BlockManager: encryptDataTransfer        = false
18/04/28 13:37:03 INFO blockmanagement.BlockManager: maxNumBlocksToLog          = 1000
18/04/28 13:37:03 INFO namenode.FSNamesystem: fsOwner             = root (auth:SIMPLE)
18/04/28 13:37:03 INFO namenode.FSNamesystem: supergroup          = supergroup
18/04/28 13:37:03 INFO namenode.FSNamesystem: isPermissionEnabled = false
18/04/28 13:37:03 INFO namenode.FSNamesystem: HA Enabled: false
18/04/28 13:37:03 INFO namenode.FSNamesystem: Append Enabled: true
18/04/28 13:37:04 INFO util.GSet: Computing capacity for map INodeMap
18/04/28 13:37:04 INFO util.GSet: VM type       = 64-bit
18/04/28 13:37:04 INFO util.GSet: 1.0% max memory 889 MB = 8.9 MB
18/04/28 13:37:04 INFO util.GSet: capacity      = 2^20 = 1048576 entries
18/04/28 13:37:04 INFO namenode.FSDirectory: ACLs enabled? false
18/04/28 13:37:04 INFO namenode.FSDirectory: XAttrs enabled? true
18/04/28 13:37:04 INFO namenode.FSDirectory: Maximum size of an xattr: 16384
18/04/28 13:37:04 INFO namenode.NameNode: Caching file names occuring more than 10 times
18/04/28 13:37:04 INFO util.GSet: Computing capacity for map cachedBlocks
18/04/28 13:37:04 INFO util.GSet: VM type       = 64-bit
18/04/28 13:37:04 INFO util.GSet: 0.25% max memory 889 MB = 2.2 MB
18/04/28 13:37:04 INFO util.GSet: capacity      = 2^18 = 262144 entries
18/04/28 13:37:04 INFO namenode.FSNamesystem: dfs.namenode.safemode.threshold-pct = 0.9990000128746033
18/04/28 13:37:04 INFO namenode.FSNamesystem: dfs.namenode.safemode.min.datanodes = 0
18/04/28 13:37:04 INFO namenode.FSNamesystem: dfs.namenode.safemode.extension     = 30000
18/04/28 13:37:04 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.window.num.buckets = 10
18/04/28 13:37:04 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.num.users = 10
18/04/28 13:37:04 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.windows.minutes = 1,5,25
18/04/28 13:37:04 INFO namenode.FSNamesystem: Retry cache on namenode is enabled
18/04/28 13:37:04 INFO namenode.FSNamesystem: Retry cache will use 0.03 of total heap and retry cache entry expiry time is 600000 millis
18/04/28 13:37:04 INFO util.GSet: Computing capacity for map NameNodeRetryCache
18/04/28 13:37:04 INFO util.GSet: VM type       = 64-bit
18/04/28 13:37:04 INFO util.GSet: 0.029999999329447746% max memory 889 MB = 273.1 KB
18/04/28 13:37:04 INFO util.GSet: capacity      = 2^15 = 32768 entries
18/04/28 13:37:04 INFO namenode.FSImage: Allocated new BlockPoolId: BP-1722456751-192.168.3.4-1524937024204
18/04/28 13:37:04 INFO common.Storage: Storage directory /usr/local/hadoop/repository/hdfs/name has been successfully formatted.
18/04/28 13:37:04 INFO namenode.FSImageFormatProtobuf: Saving image file /usr/local/hadoop/repository/hdfs/name/current/fsimage.ckpt_0000000000000000000 using no compression
18/04/28 13:37:04 INFO namenode.FSImageFormatProtobuf: Image file /usr/local/hadoop/repository/hdfs/name/current/fsimage.ckpt_0000000000000000000 of size 321 bytes saved in 0 seconds.
18/04/28 13:37:04 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0
18/04/28 13:37:04 INFO util.ExitUtil: Exiting with status 0
18/04/28 13:37:04 INFO namenode.NameNode: SHUTDOWN_MSG:
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at marklin.com/192.168.3.4
************************************************************/
 
Linux搭建Hbase开发环境
Linux搭建Hbase开发环境
 
【2】启动Hbase服务,输入：start-hbase.sh
[root@marklin ~]# start-hbase.sh
running master, logging to /usr/local/hbase/repository/logs/hbase-root-master-marklin.com.out
marklin.com: running regionserver, logging to /usr/local/hbase/repository/logs/hbase-root-regionserver-marklin.com.out
 
Linux搭建Hbase开发环境
【3】输入：jps
[root@marklin ~]# jps
1122 QuorumPeerMain
1043 QuorumPeerMain
5413 SecondaryNameNode
6665 Jps
5580 ResourceManager
6268 HMaster
5085 NameNode
5709 NodeManager
6413 HRegionServer
5230 DataNode
1119 QuorumPeerMain
 
Linux搭建Hbase开发环境
【4】输入：habse shell
[root@marklin ~]# hbase shell
HBase Shell
Use "help" to get list of supported commands.
Use "exit" to quit this interactive shell.
Version 2.0.0-beta-2, r9e9b347d667e1fc6165c9f8ae5ae7052147e8895, Fri Mar  2 13:29:06 PST 2018
Took 0.0044 seconds                                                                                                                                                                                                                     
hbase(main):001:0> status
1 active master, 0 backup masters, 1 servers, 0 dead, 2.0000 average load
Took 0.4714 seconds                                                                                                                                                                                                                     
hbase(main):002:0> exit
 
Linux搭建Hbase开发环境
 
【5】浏览器输入：http://192.168.3.4:16010/master-status#compactStas
Linux搭建Hbase开发环境
 

hbase margin-left margin

maoyg0

maoyg0

0 关注 0 粉丝 0 动态

关注 关注

相关推荐

HBase/TiDB都在用的数据结构：LSM Tree，不得了解一下？

LSM Tree广泛应用在HBase，TiDB等诸多数据库和存储引擎上，我们先来看一下它的一些应用：。这么牛X的名单，你不想了解下LSM Tree吗？装X之前，我们先来了解一些基本概念。设计数据存储系统可能需要考虑的一些问题有：ACID，RUM。读性能体现

晨曦之星 2020-08-14

hbase 基础 —— 架构

典型的主从架构。其中 RegionServers 负责与客户端的交互，访问数据 HMaster 负责 Region 分配，DDL 操作。hbase table 根据 RowKey 划分成多个 Region，Region 包含所划分范围的所有行数据。Regi

lwb 2020-07-26

hdfs、hive、hbase的搭建总结

-- 完全分布式文件系统的名称 ：schema ip port -->. -- 分布式文件系统的其他路径的所依赖的一个基础路径，完全分布式不能使用默认值，因为临路径不安全，linux系统在重启时，可能会删除此目录下的内容-->. --

eternityzzy 2020-07-19

hbase 建表 数据类型

下面几个shell 命令在后续的hbase 操作中可以起到很到的作用，且主要体现在建表的过程中，看下面几个create 属性1、BLOOMFILTER 默认是NONE 是否使用布隆过虑使用何种方式布隆过滤可以每列族单独启用。对ROW，行键的哈希在每次插入行

大而话之BigData 2020-06-16

Hbase常见问题

Hbase的数据是按照字典排序的，当大量连续的rowkey集中写到个别的region，各个region之间实际分布不均衡；创建表已经提前预分区，但是设计的rowkey没有规律可循。随机数+业务主键，如果更好的让最近的数据get到，可以加上时间戳；加盐之后的

ITwangnengjie 2020-06-14

hue集成hbase

# Comma-separated list of HBase Thrift servers for clusters in the format of ‘‘.# If using Kerberos we assume GSSAPI SASL, not P

gengwx00 2020-06-11

HBase安装部署

在slave01上运行jps，确认DataNode, NodeManager进程启动。分别在master，slave01，slave02上启动zookeeper. 查看解压后HBase目录中包含的文件。修改JAVA环境变量，去除export JAVA_HO

大而话之BigData 2020-06-10

在hadoop集群下启动hbase的方法

start-all.sh(前提是在bashrc中配置export PATH=$PATH:$HADOOP_HOME/sbin export PATH=$PATH:$HAOOP_HOME/bin)

鲸鱼写程序 2020-06-08

Spark读取Hbase中的数据

大家可能都知道很熟悉Spark的两种常见的数据读取方式：、调用parallelize函数直接从集合中获取数据，并存入RDD中；Java版本如下：。其实对文件来说，Spark支持Hadoop所支持的所有文件类型和文件存放位置。过往记忆博客，专注于hadoop

needyit 2020-06-04

Flume-0.9.4和Hbase-0.96整合

Flume里面自带了Hbase sink，可以直接调用啊，还用说么？这是因为Flume-0.9.4和Hbase-0.96整合比Flume-1.4.0和Hbase-0.96整合麻烦多了！不是随便几个配置就能搞定的，里面涉及到修改Flume和Hadoop的源码

strongyoung 2020-06-04

HBase的安装部署

　　副本数为1， 取消权限。在启动前，先进行namenode格式化。这样hadoop就安装完成了。配置不使用自带的Zookeeper. # Tell HBase whether it should manage it‘s own instance of Z

WeiHHH 2020-05-30

Spark读取Mysql，Redis，Hbase数据（一）

"select * from TBLS where TBL_ID >= ?

needyit 2020-05-10

Spark 与 JDBC、Hbase之间的交互

"select id, name from user where id >= ?1,//对应第一个 ？10,//对应第二个 ？

ITwangnengjie 2020-05-09

1，pinpoint全链路监控

Pinpoint-Collector和Pinpoint-Web最好安装在一个机器上。在结尾修改成如下，这里我们指定Hbase本地来存储数据，生产环境将数据建议存入HDFS中。这个脚本不能直接wget，因为wget下载下来的是一个网页。执行pinpoint提

gengwx00 2020-05-08

HBase与Hive

用于数据分析、清洗：Hive适用于离线的数据分析和清洗，延迟较高。基于HDFS、MapReduce：Hive存储的数据依旧在DataNode上，编写的HQL语句终将是转换为MapReduce代码执行。操作Hive可能对HBase产生影响，所以Hive需要持

gengwx00 2020-05-09

HBase与MapReduce交互

飞鸿踏雪0 2020-05-07

HBase原理总结

HBase分布式数据库，面向列存储，支持实时、随机读写。HDFS 为 Hbase 提供可靠的底层数据存储服务，MapReduce 为 Hbase 提供高性能的计算能力，Zookeeper 为 Hbase 提供。稳定服务和Failover机制，因此，Hbas

大而话之BigData 2020-05-06

Hbase scan 查询命令大全，前缀，模糊，正则

Hbase scan 查询例子数据?https://java-er.com/blog/hbase-scan-all-command/stu 学生列族 base 存储学生姓名，身高基本信息列族 score 存储成绩c1_s1 c1 班级 s1 学生编号。Hb

Buerzhu 2020-05-01

Hbase API 创建表错误记录 for Docker 容器部署集群

最终我们看到成功了，然后我们是三台Docker容器，我们为了后面的不会再次出现这个错误，我们把 salve2 节点的 hbase 的HRegionServer机器主机名。应用程序对数据的读写操作都是通过和HRegion通信完成，16020端口是Region

gengwx00 2020-04-30

hbase设置ttl后出现坏块，重启后master abort 问题梳理

　　可以看到，问题是由于把某个region进行transit过程中出现了错。　　造成的原因很可能就是重新设置了ttl造成数据块中造成了部分损坏。　　在此版本中，当region在transition过程中出现了错误，但并不会影响master的正常启动。

gengwx00 2020-04-29
maoyg0

maoyg0

W3CSchool教程
HTML 教程
CSS 教程
Bootstrap 教程
Javascript 教程
jQuery 教程
后端教程
C 教程
Java 教程
PHP 教程
Python 教程
Go 教程
移动开发
Android 教程
Swift 教程
Kotlin 教程
jQuery Mobile 教程
ionic 教程
关于我们
新闻动态
联系方式
招聘英才
安科实验室
帮助与反馈

安科网(Ancii)，中国第一极客网

Copyright © 2013 - 2019 Ancii.com

京ICP备18063983号 京公网安备11010802014868号