Mini Centos环境部署YDB，基于haoop，zookeeper和kafka

YDB简介

YDB全称延云YDB ，是一个基于Hadoop分布式架构下的实时的、多维的、交互式的查询、统计、分析引擎，具有万亿数据规模下的秒级性能表现，并具备企业级的稳定可靠表现。

本文目标

搭建基于虚拟机版本的YDB，用于功能体验，不要求性能和稳定性（简单说就是能跑起来），并且虚拟机可以运行在主流的桌面环境。
对于追求高效、稳定地的单机版YDB，请安装和使用延云YDB易捷版。

硬件及操作系统

• CPU: 1x2 core
• MEM: 4G
• HDD: 64G
• SYS: Centos 6.6 x64 mini

系统环境配置

必要软件包

yum install openssh-clients unzip

系统配置

系统配置参考《YDB编程指南》或YDB依赖的操作系统环境详解

软件包

jdk-8u60-linux-x64.tar.gz
hadoop-2.7.3.tar.gz
zookeeper-3.4.6.tar.gz
kafka_2.11-0.10.0.1.tgz
spark1.6.3_hadoop2.7.3.tar.gz <www.ycloud.net.cn>
ya100-1.1.8.11.0710.1988.413.stable.zip <www.ycloud.net.cn>

hdfs

创建数据目录

mkdir -p /data
mkdir -p /data/tmp/hadoop
mkdir -p /data/hadoop/hdfs/nn
mkdir -p /data/hadoop/hdfs/dn
mkdir -p /data/hadoop/hdfs/sn

core-site.xml

fs.defaultFS - hdfs://<hostname>
hadoop.tmp.dir - /data/tmp/hadoop

hdfs-site.xml

dfs.replication - 1
dfs.namenode.name.dir - /data/hadoop/hdfs/nn
dfs.datanode.data.dir - /data/hadoop/hdfs/dn
dfs.namenode.checkpoint.dir - /data/hadoop/hdfs/sn
dfs.namenode.secondary.http-address - <hostname>:50090
dfs.permissions.enabled - false

slaves

<hostname>

hadoop-env.sh

JAVA_HOME=<jdk home>
HADOOP_HEAPSIZE=64
HADOOP_NAMENODE_INIT_HEAPSIZE=64

禁用Secondary Name Node

start-dfs.sh & stop-dfs.sh
unset SECONDARY_NAMENODES # SECONDARY_NAMENODES=

格式化

hdfs namenode -format

启动和停止

start-dfs
start-yarn

yarn

yarn-site.xml

yarn.resourcemanager.hostname - <hostname>
yarn.nodemanager.resource.memory-mb - 2048
yarn.nodemanager.resource.cpu-vcores - 4
yarn.scheduler.minimum-allocation-mb - 8
yarn.scheduler.maximum-allocation-mb - 2048
yarn.scheduler.minimum-allocation-vcores - 1
yarn.scheduler.maximum-allocation-vcores - 4
yarn.nodemanager.vmem-check-enabled - false
yarn.nodemanager.pmem-check-enabled - false

yarn-env.sh

YARN_RESOURCEMANAGER_HEAPSIZE=64
YARN_NODEMANAGER_HEAPSIZE=64

启动和停止

stop-yarn
stop-dfs

zookpeer

zookeeper-env.sh

export JAVA_HOME=<jdk_home>

zoo.cfg

tickTime=2000 
dataDir=/data/zookeeper
clientPort=2181

启动和停止

bin/zkServer start
bin/zkServer stop

kafka

server.properties

zookeeper.connect=<hostname>:2181
log.cleaner.dedupe.buffer.size=5242880

kafka-server-start.sh

export KAFKA_HEAP_OPTS="-Xmx64m -Xms64m"

启动和停止

bin/kafka-server-start.sh config/server.properties &
bin/kafka-server-stop.sh

ydb

ya100_env.sh

export HADOOP_CONF_DIR=<hadoop_conf_dir>
export SPARK_HOME=<spark_home>
export YA100_EXECUTORS=1
export YA100_MEMORY=512m
export YA100_CORES=1
export YA100_DRIVER_MEMORY=256m
export HDFS_USER=root

ydb_site.yaml

 storm.zookeeper.servers: "<hostname>"
 ydb.ya100.hb.connuser: root
 bootstrap.servers.ydb_syslog: "<hostname>"

create topic

bin/kafka-topics.sh --create --zookeeper zvm:2181 --replication-factor 1 --partitions 1 --topic bcp003

启动和停止

bin/start-all.sh
bin/stop-all.sh

小结

netstat

netstat -anp | grep LISTEN | grep 50070  # NN WEB
netstat -anp | grep LISTEN | grep 8020   # NN
netstat -anp | grep LISTEN | grep 50010  # DN
netstat -anp | grep LISTEN | grep 8088   # RM WEB
netstat -anp | grep LISTEN | grep 8042   # NM
netstat -anp | grep LISTEN | grep 2181   # ZK
netstat -anp | grep LISTEN | grep 9092   # KF
netstat -anp | grep LISTEN | grep 1210   # YDB WEB
netstat -anp | grep LISTEN | grep 10009  # YDB JDBC

http

http://<hostname>:50070   NN
http://<hostname>:8088    RM
http://<hostname>:8042    NM
http://<hostname>:1210    YDB