java Alluxio_Alluxio的安装

一、文件下载和解压

2) 解压命令如下：

$tar xvfz alluxio-1.2.0-bin.tar.gz

$cdalluxio-1.2.0

二、 配置文件更改

目前只是基本配置更改：

1) /data/spark/software/alluxio-1.2.0/conf下的  alluxio-env.sh.template 复制一份为： alluxio-env.sh

更改如下：

#!/usr/bin/env bash

#

# The Alluxio Open Foundation licenses this work under the Apache License, version 2.0

# (the “License”). You may not use this work except in compliance with the License, which is

# available at www.apache.org/licenses/LICENSE-2.0

#

# This software is distributed on an “AS IS” basis, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,

# either express or implied, as more fully set forth in the License.

#

# See the NOTICE file distributed with this work for information regarding copyright ownership.

#

# Copy it as alluxio-env.sh and edit that to configure Alluxio for your

# site. This file is sourced to launch Alluxio servers or use Alluxio shell

# commands.

#

# This file provides one way to configure Alluxio options by setting the

# following listed environment variables. Note that, setting this file will not

# affect jobs (e.g., Spark job or MapReduce job) that are using Alluxio client

# as a library. Alternatively, you can edit alluxio-site.properties file, where

# you can set all the configuration options supported by Alluxio

# (http://alluxio.org/documentation/)which is respected by both external jobs

# and Alluxio servers (or shell).

# The directory where Alluxio deployment is installed. (Default: the parent directory of libexec/).

exportALLUXIO_HOME=/data/spark/software/alluxio-1.2.0

# The directory where log files are stored. (Default: ${ALLUXIO_HOME}/logs).

# ALLUXIO_LOGS_DIR

# Hostname of the master.

# ALLUXIO_MASTER_HOSTNAME

exportALLUXIO_MASTER_HOSTNAME=spark29

# This is now deprecated. Support will be removed in v2.0

# ALLUXIO_MASTER_ADDRESS

#export ALLUXIO_MASTER_ADDRESS=spark29

# The directory where a worker stores in-memory data. (Default: /mnt/ramdisk).

# E.g. On linux,  /mnt/ramdisk for ramdisk, /dev/shm for tmpFS; on MacOS, /Volumes/ramdisk for ramdisk

# ALLUXIO_RAM_FOLDER

exportALLUXIO_RAM_FOLDER=/data/spark/software/alluxio-1.2.0/ramdisk

# Address of the under filesystem address. (Default: ${ALLUXIO_HOME}/underFSStorage)

# E.g. “/my/local/path” to use local fs, “hdfs://localhost:9000/alluxio” to use a local hdfs

# ALLUXIO_UNDERFS_ADDRESS

exportALLUXIO_UNDERFS_ADDRESS=hdfs://spark29:9000

# How much memory to use per worker. (Default: 1GB)

# E.g. “1000MB”, “2GB”

# ALLUXIO_WORKER_MEMORY_SIZE

exportALLUXIO_WORKER_MEMORY_SIZE=12GB

# Config properties set for Alluxio master, worker and shell. (Default: “”)

# E.g. “-Dalluxio.master.port=39999”

# ALLUXIO_JAVA_OPTS

# Config properties set for Alluxio master daemon. (Default: “”)

# E.g. “-Dalluxio.master.port=39999”

# ALLUXIO_MASTER_JAVA_OPTS

# Config properties set for Alluxio worker daemon. (Default: “”)

# E.g. “-Dalluxio.worker.port=49999” to set worker port, “-Xms2048M -Xmx2048M” to limit the heap size of worker.

# ALLUXIO_WORKER_JAVA_OPTS

# Config properties set for Alluxio shell. (Default: “”)

# E.g. “-Dalluxio.user.file.writetype.default=CACHE_THROUGH”

# ALLUXIO_USER_JAVA_OPTS

2)worker 下面的添加worker节点的地址

spark24

spark30

spark31

spark32

spark33

三 、主机配置更改

1)在家目录下更改 .bash_profile 添加一下内容：

export TACHYON_HOME=/data/spark/software/alluxio-1.2.0

PATH=$PATH:$HOME/bin:$HADOOP/bin:$JAVA_HOME/bin:$TACHYON_HOME/bin

2) 生效配置

source .bash_profile

四 、Spark 添加依赖Jar

1、在所有的spark主机的spark安装目录下的conf目录下

更改spark-env.sh 后面添加：export SPARK_CLASSPATH=”/data/spark/software/spark-1.5.2-bin-hadoop2.6/lib/alluxio-core-client-spark-1.2.0-jar-with-dependencies.jar:$SPARK_CLASSPATH”

五 、分发到各个Worker节点上去

1、alluxio 软件：scp -r ./alluxio-1.2.0spark30:/data/spark/software/

六、格式化和启动

1、进入到alluxio的安装目录下面的bin目录，执行命令： alluxio format  进行内存格式化。

2、启动集群：./alluxio-start.sh all

七、可能遇到问题

1、启动worker报错，报错内容：Pseudo-terminal will not be allocated because stdin is not a terminal.

更改：alluxio\bin\alluxio-workers.sh  的44行内容

原始内容为：

nohup ssh -o ConnectTimeout=5 -o StrictHostKeyChecking=no -t ${worker} ${LAUNCHER} \

改成如下：

nohup ssh -o ConnectTimeout=5 -o StrictHostKeyChecking=no -tt  $ {worker}  ${LAUNCHER} \

2、如果启动报sudo相关命令错误，是因为启动用户未在sudoers里面，需要将用户添加到此文件中，添加方法搜下root位置，再后面添加即可。

内容如下：

root ALL=(ALL) ALL

spark ALL=(ALL) ALL

同时把此文件中的：#Defaults    requiretty 注释掉。

3、如果还报错，可以在启动master之后，一个一个节点去启动worker。

八、 官网安装说明

九、安装后确认

通过访问链接：http://master:19999/ 去查看安装是否成功。