一、安装JDK(具体安装省略)

二、安装Scala(具体安装省略)

三、安装IDEA

  1、打开后会看到如下,然后点击OK

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" alt="" width="671" height="560" />

 2、点击Next:Default plugins,进入以下页面:

  3、点击Scala的Install安装(确保联网),等待完成后,出现

 4、点击Create New Project进入主页面:打开后新建一个名为WordCount的工程(这个应该都知道吧File-->New-->Scala Project),建立完成后,再点击File-->Project Structure-->Libraries,然后点击+号,找到自己的spark包(spark-assembly-1.0.0-hadoop1.0.4.jar,然后点击OK)(这一步很重要)

  5、此时所有的包依赖都导入成功,然后新建一个Scala类,即可开发Spark

四、写程序

  下面给出史上最详细的程序:

  1、如果想要在本地上搞Spark的话:

 package com.df.spark
import org.apache.spark.SparkConf
import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._
import org.apache.spark.rdd.RDD
/**
* 使用Scala开发集群运行的Spark WordCount程序
* @author liuzhongfeng
*/
object WordCount_Cluster {
def main(args: Array[String]){
/**
* 第一步:创建Spark的配置对象SparkConf,设置Spark程序的运行时的配置信息
* 例如说通过setMaster来设置程序要链接的Spark集群的Master的URL,如果设置为local,
* 则代表Spark程序在本地运行,特别适合机器配置条件差的初学者。
*/
val conf=new SparkConf()//创建SparkConf对象
conf.setAppName("My First Spark App!")//设置应用程序的名称,在程序运行的监控界面可以看到名称
conf.setMaster("spark://cMaster-spark:7077")//程序此时运行在Spark集群 /**
* 第二步:创建SparkContext对象,
* SparkContext是Spark程序所有功能的唯一入口,无论是采用Scala、Java、Python、R等都必须有一个SparkContext
* SparkContext的核心作用:初始化Spark应用程序运行所需要的核心组件,包括DAGScheduler、TaskScheduler、SchedulerBacken
* 同时还会负责Spark程序往Master注册程序等
* SparkContext是整个Spark应用程序中至关重要的一个对象
*/
val sc=new SparkContext(conf)//通过创建SparkContext对象,通过传入SparkConf实例来定制Spark运行的具体参数和配置信息 /**
* 第三步:根据具体的数据来源(HDFS、HBase、Local FS、S3)通过SparkContext来创建RDD
* RDD的创建基本有三种方式:根据外部的数据来源(例如HDFS)、根据Scala集合、由其他的RDD操作
* 数据会被RDD划分称为一些列的Partitions,分配到每个Partition的数据属于一个Task的处理范畴
*/
// val lines: RDD[String]=sc.textFile("H://下载//linux软件包//linux-spark的文件//spark//spark-1.0.0-bin-hadoop1//README.md", 1)
//读取本地文件并设置为一个Partition
//val lines=sc.textFile("H://下载//linux软件包//linux-spark的文件//spark//spark-1.0.0-bin-hadoop1//README.md", 1)
val lines=sc.textFile("/in", 1)
/**
* 第四步:对初始的RDD进行Transformation级别的处理,例如map、filter等高阶函数的编程,来进行具体的数据计算
* 第4.1步:将每一行的字符串拆分成单个的单词
*/
val words=lines.flatMap { line => line.split(" ")}//对每一行的字符串进行单词切分,并把所有行的切分结果通过flat合并成一个大的单词集合
/**
* 第四步:对初始的RDD进行Transformation级别的处理,例如map、filter等高阶函数的编程,来进行具体的数据计算
* 第4.2步:在单词切分的基础上,对每个单词实例的计数为1,也就是word=>(word,1)
*/
val pairs=words.map { word => (word,1) }
/**
* 第四步:对初始的RDD进行Transformation级别的处理,例如map、filter等高阶函数的编程,来进行具体的数据计算
* 第4.3步:在每个单词实例计数为1的基础之上统计每个单词在文件中出现的总次数
*/
val wordCounts=pairs.reduceByKey(_+_)//对相同的Key,进行Value的累计(包括Local和Reducer级别同时Reduce)
wordCounts.collect.foreach(wordNumberPair=>println(wordNumberPair._1+" : "+wordNumberPair._2))
sc.stop()
}
}

  通过点击右键,选择Run As-->Scala Application,然后出现运行结果:

16/01/27 16:55:27 INFO SecurityManager: Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
16/01/27 16:55:27 INFO SecurityManager: Changing view acls to: liuzhongfeng
16/01/27 16:55:27 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(liuzhongfeng)
16/01/27 16:55:28 INFO Slf4jLogger: Slf4jLogger started
16/01/27 16:55:28 INFO Remoting: Starting remoting
16/01/27 16:55:28 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://spark@Frank:38059]
16/01/27 16:55:28 INFO Remoting: Remoting now listens on addresses: [akka.tcp://spark@Frank:38059]
16/01/27 16:55:28 INFO SparkEnv: Registering MapOutputTracker
16/01/27 16:55:28 INFO SparkEnv: Registering BlockManagerMaster
16/01/27 16:55:28 INFO DiskBlockManager: Created local directory at C:\Users\LIUZHO~1\AppData\Local\Temp\spark-local-20160127165528-81e4
16/01/27 16:55:28 INFO MemoryStore: MemoryStore started with capacity 1068.9 MB.
16/01/27 16:55:28 INFO ConnectionManager: Bound socket to port 38062 with id = ConnectionManagerId(Frank,38062)
16/01/27 16:55:28 INFO BlockManagerMaster: Trying to register BlockManager
16/01/27 16:55:28 INFO BlockManagerInfo: Registering block manager Frank:38062 with 1068.9 MB RAM
16/01/27 16:55:28 INFO BlockManagerMaster: Registered BlockManager
16/01/27 16:55:28 INFO HttpServer: Starting HTTP Server
16/01/27 16:55:28 INFO HttpBroadcast: Broadcast server started at http://192.168.1.107:38063
16/01/27 16:55:28 INFO HttpFileServer: HTTP File server directory is C:\Users\LIUZHO~1\AppData\Local\Temp\spark-59ecde39-31f6-4f84-ac49-e86194415dec
16/01/27 16:55:28 INFO HttpServer: Starting HTTP Server
16/01/27 16:55:28 INFO SparkUI: Started SparkUI at http://Frank:4040
16/01/27 16:55:29 INFO MemoryStore: ensureFreeSpace(32816) called with curMem=0, maxMem=1120822886
16/01/27 16:55:29 INFO MemoryStore: Block broadcast_0 stored as values to memory (estimated size 32.0 KB, free 1068.9 MB)
16/01/27 16:55:29 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
16/01/27 16:55:29 WARN LoadSnappy: Snappy native library not loaded
16/01/27 16:55:29 INFO FileInputFormat: Total input paths to process : 1
16/01/27 16:55:29 INFO SparkContext: Starting job: foreach at WordCount.scala:53
16/01/27 16:55:29 INFO DAGScheduler: Registering RDD 4 (reduceByKey at WordCount.scala:52)
16/01/27 16:55:29 INFO DAGScheduler: Got job 0 (foreach at WordCount.scala:53) with 1 output partitions (allowLocal=false)
16/01/27 16:55:29 INFO DAGScheduler: Final stage: Stage 0(foreach at WordCount.scala:53)
16/01/27 16:55:29 INFO DAGScheduler: Parents of final stage: List(Stage 1)
16/01/27 16:55:29 INFO DAGScheduler: Missing parents: List(Stage 1)
16/01/27 16:55:29 INFO DAGScheduler: Submitting Stage 1 (MapPartitionsRDD[4] at reduceByKey at WordCount.scala:52), which has no missing parents
16/01/27 16:55:29 INFO DAGScheduler: Submitting 1 missing tasks from Stage 1 (MapPartitionsRDD[4] at reduceByKey at WordCount.scala:52)
16/01/27 16:55:29 INFO TaskSchedulerImpl: Adding task set 1.0 with 1 tasks
16/01/27 16:55:29 INFO TaskSetManager: Starting task 1.0:0 as TID 0 on executor localhost: localhost (PROCESS_LOCAL)
16/01/27 16:55:29 INFO TaskSetManager: Serialized task 1.0:0 as 2172 bytes in 2 ms
16/01/27 16:55:29 INFO Executor: Running task ID 0
16/01/27 16:55:29 INFO BlockManager: Found block broadcast_0 locally
16/01/27 16:55:29 INFO HadoopRDD: Input split: file:/H:/下载/linux软件包/linux-spark的文件/spark/spark-1.0.0-bin-hadoop1/README.md:0+4221
16/01/27 16:55:29 INFO Executor: Serialized size of result for 0 is 775
16/01/27 16:55:29 INFO Executor: Sending result for 0 directly to driver
16/01/27 16:55:29 INFO Executor: Finished task ID 0
16/01/27 16:55:29 INFO TaskSetManager: Finished TID 0 in 231 ms on localhost (progress: 1/1)
16/01/27 16:55:29 INFO DAGScheduler: Completed ShuffleMapTask(1, 0)
16/01/27 16:55:29 INFO TaskSchedulerImpl: Removed TaskSet 1.0, whose tasks have all completed, from pool
16/01/27 16:55:29 INFO DAGScheduler: Stage 1 (reduceByKey at WordCount.scala:52) finished in 0.240 s
16/01/27 16:55:29 INFO DAGScheduler: looking for newly runnable stages
16/01/27 16:55:29 INFO DAGScheduler: running: Set()
16/01/27 16:55:29 INFO DAGScheduler: waiting: Set(Stage 0)
16/01/27 16:55:29 INFO DAGScheduler: failed: Set()
16/01/27 16:55:29 INFO DAGScheduler: Missing parents for Stage 0: List()
16/01/27 16:55:29 INFO DAGScheduler: Submitting Stage 0 (MapPartitionsRDD[6] at reduceByKey at WordCount.scala:52), which is now runnable
16/01/27 16:55:29 INFO DAGScheduler: Submitting 1 missing tasks from Stage 0 (MapPartitionsRDD[6] at reduceByKey at WordCount.scala:52)
16/01/27 16:55:29 INFO TaskSchedulerImpl: Adding task set 0.0 with 1 tasks
16/01/27 16:55:29 INFO TaskSetManager: Starting task 0.0:0 as TID 1 on executor localhost: localhost (PROCESS_LOCAL)
16/01/27 16:55:29 INFO TaskSetManager: Serialized task 0.0:0 as 2003 bytes in 1 ms
16/01/27 16:55:29 INFO Executor: Running task ID 1
16/01/27 16:55:29 INFO BlockManager: Found block broadcast_0 locally
16/01/27 16:55:29 INFO BlockFetcherIterator$BasicBlockFetcherIterator: maxBytesInFlight: 50331648, targetRequestSize: 10066329
16/01/27 16:55:29 INFO BlockFetcherIterator$BasicBlockFetcherIterator: Getting 1 non-empty blocks out of 1 blocks
16/01/27 16:55:29 INFO BlockFetcherIterator$BasicBlockFetcherIterator: Started 0 remote fetches in 6 ms
For : 5
Programs : 1
gladly : 1
Because : 1
The : 1
agree : 1
cluster. : 1
webpage : 1
its : 1
under : 2
legal : 1
1.x, : 1
have : 2
Try : 1
MRv1, : 1
add : 2
through : 1
several : 1
This : 2
Whether : 1
"yarn-cluster" : 1
% : 2
storage : 1
To : 2
setting : 1
any : 2
Once : 1
application : 1
explicitly, : 1
use: : 1
prefer : 1
SparkPi : 2
version : 3
file : 1
documentation, : 1
Along : 1
the : 28
entry : 1
author. : 1
are : 2
systems. : 1
params : 1
not : 2
different : 1
refer : 1
Interactive : 2
given. : 1
if : 5
file's : 1
build : 3
when : 2
be : 2
Tests : 1
Apache : 6
./bin/run-example : 2
programs, : 1
including : 1
<http://spark.apache.org/documentation.html>. : 1
Spark. : 2
2.0.5-alpha : 1
package. : 1
1000).count() : 1
project's : 3
Versions : 1
HDFS : 1
license : 3
email, : 1
<artifactId>hadoop-client</artifactId> : 1
>>> : 1
"org.apache.hadoop" : 1
<version>1.2.1</version> : 1
programming : 1
Testing : 1
run: : 1
environment : 2
pull : 3
1000: : 2
v2 : 1
<groupId>org.apache.hadoop</groupId> : 1
Please : 1
is : 6
run : 7
URL, : 1
SPARK_HADOOP_VERSION=2.2.0 : 1
threads. : 1
same : 1
MASTER=spark://host:7077 : 1
on : 4
built : 2
against : 1
tests : 1
examples : 2
at : 1
usage : 1
using : 3
Maven, : 1
talk : 1
submitting : 1
Shell : 2
class : 2
adding : 1
abbreviated : 1
directory. : 1
README : 1
overview : 1
dependencies. : 1
`examples` : 2
example: : 1
## : 9
N : 1
set : 2
use : 3
Hadoop-supported : 1
running : 1
find : 1
via : 2
contains : 1
project : 3
SPARK_HADOOP_VERSION=2.0.5-alpha : 1
Pi : 1
need : 1
request, : 1
or : 5
</dependency> : 1
<class> : 1
uses : 1
"hadoop-client" : 2
Hadoop, : 1
(You : 1
requires : 1
Contributions : 1
SPARK_HADOOP_VERSION=1.2.1 : 1
Documentation : 1
of : 3
cluster : 1
using: : 1
accepted : 1
must : 1
"1.2.1" : 1
1.2.1 : 2
built, : 1
Hadoop : 11
means : 1
Spark : 12
this : 4
Python : 2
original : 2
YARN, : 3
2.1.X, : 1
pre-built : 1
[Configuration : 1
locally. : 1
./bin/pyspark : 1
A : 1
locally : 2
# : 6
sc.parallelize(1 : 1
only : 1
library : 1
Configuration : 1
basic : 1
MapReduce : 2
documentation : 1
first : 1
which : 2
following : 2
changed : 1
also : 4
Cloudera : 4
without : 1
should : 2
for : 1
"yarn-client" : 1
[params]`. : 1
`SPARK_YARN=true`: : 1
setup : 1
mesos:// : 1
<http://spark.apache.org/> : 1
GitHub : 1
requests : 1
latest : 1
your : 6
test : 1
MASTER : 1
example : 3
authority : 1
SPARK_YARN=true : 3
scala> : 1
guide](http://spark.apache.org/docs/latest/configuration.html) : 1
configure : 1
artifact : 1
can : 7
About : 1
you're : 1
instructions. : 1
do : 3
2.0.X, : 1
easiest : 1
no : 1
When : 1
how : 1
newer : 1
`./bin/run-example : 1
source : 2
copyrighted : 1
material : 2
Note : 1
2.10. : 1
by : 3
please : 1
Lightning-Fast : 1
spark:// : 1
so. : 1
Scala : 3
Alternatively, : 1
If : 1
Cluster : 1
variable : 1
submit : 1
an : 2
thread, : 1
them, : 1
2.2.X : 1
And : 1
application, : 1
return : 2
developing : 1
./bin/spark-shell : 1
`<dependencies>` : 1
warrant : 1
"local" : 1
start : 1
You : 4
<dependency> : 1
Spark](#building-spark). : 1
one : 2
help : 1
with : 8
print : 1
CDH : 4
2.2.X, : 1
$ : 5
SPARK_HADOOP_VERSION=2.0.0-mr1-cdh4.2.0 : 1
in : 4
Contributing : 1
downloaded : 1
versions : 4
online : 1
`libraryDependencies`: : 1
- : 1
section: : 1
4.2.0 : 2
comes : 1
[building : 1
Python, : 1
0.23.x, : 1
`SPARK_HADOOP_VERSION` : 1
Many : 1
other : 4
Running : 1
sbt/sbt : 5
building : 1
way : 1
SBT, : 1
Online : 1
change : 1
MRv2, : 1
contribution : 1
from : 1
Example : 1
POM : 1
open : 2
sc.parallelize(range(1000)).count() : 1
you : 8
runs. : 1
Building : 1
protocols : 1
that : 4
a : 5
their : 1
guide, : 1
name : 1
example, : 1
state : 2
work : 2
will : 1
instance: : 1
to : 19
v1 : 1
core : 1
: 149
license. : 1
"local[N]" : 1
programs : 2
package.) : 1
shell: : 2
./sbt/sbt : 2
assembly : 6
specify : 1
and : 9
Computing : 1
command, : 2
SPARK_HADOOP_VERSION=2.0.0-cdh4.2.0 : 1
sample : 1
requests, : 1
16/01/27 16:55:29 INFO Executor: Serialized size of result for 1 is 825
16/01/27 16:55:29 INFO Executor: Sending result for 1 directly to driver
16/01/27 16:55:29 INFO Executor: Finished task ID 1
16/01/27 16:55:29 INFO DAGScheduler: Completed ResultTask(0, 0)
16/01/27 16:55:29 INFO DAGScheduler: Stage 0 (foreach at WordCount.scala:53) finished in 0.126 s
16/01/27 16:55:29 INFO TaskSetManager: Finished TID 1 in 123 ms on localhost (progress: 1/1)
16/01/27 16:55:29 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool
16/01/27 16:55:29 INFO SparkContext: Job finished: foreach at WordCount.scala:53, took 0.521885349 s
16/01/27 16:55:29 INFO SparkUI: Stopped Spark web UI at http://Frank:4040
16/01/27 16:55:29 INFO DAGScheduler: Stopping DAGScheduler
16/01/27 16:55:31 INFO MapOutputTrackerMasterActor: MapOutputTrackerActor stopped!
16/01/27 16:55:31 INFO ConnectionManager: Selector thread was interrupted!
16/01/27 16:55:31 INFO ConnectionManager: ConnectionManager stopped
16/01/27 16:55:31 INFO MemoryStore: MemoryStore cleared
16/01/27 16:55:31 INFO BlockManager: BlockManager stopped
16/01/27 16:55:31 INFO BlockManagerMasterActor: Stopping BlockManagerMaster
16/01/27 16:55:31 INFO BlockManagerMaster: BlockManagerMaster stopped
16/01/27 16:55:31 INFO SparkContext: Successfully stopped SparkContext
16/01/27 16:55:31 INFO RemoteActorRefProvider$RemotingTerminator: Shutting down remote daemon.
16/01/27 16:55:31 INFO RemoteActorRefProvider$RemotingTerminator: Remote daemon shut down; proceeding with flushing remote transports.

  2、如果想要在集群上搞Spark的话:

 package com.df.spark
import org.apache.spark.SparkConf
import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._
import org.apache.spark.rdd.RDD
/**
* 使用Scala开发集群运行的Spark WordCount程序
* @author liuzhongfeng
*/
object WordCount_Cluster {
def main(args: Array[String]){
/**
* 第一步:创建Spark的配置对象SparkConf,设置Spark程序的运行时的配置信息
* 例如说通过setMaster来设置程序要链接的Spark集群的Master的URL,如果设置为local,
* 则代表Spark程序在本地运行,特别适合机器配置条件差的初学者。
*/
val conf=new SparkConf()//创建SparkConf对象
conf.setAppName("My First Spark App!")//设置应用程序的名称,在程序运行的监控界面可以看到名称
conf.setMaster("spark://cMaster-spark:7077")//程序此时运行在Spark集群 /**
* 第二步:创建SparkContext对象,
* SparkContext是Spark程序所有功能的唯一入口,无论是采用Scala、Java、Python、R等都必须有一个SparkContext
* SparkContext的核心作用:初始化Spark应用程序运行所需要的核心组件,包括DAGScheduler、TaskScheduler、SchedulerBacken
* 同时还会负责Spark程序往Master注册程序等
* SparkContext是整个Spark应用程序中至关重要的一个对象
*/
val sc=new SparkContext(conf)//通过创建SparkContext对象,通过传入SparkConf实例来定制Spark运行的具体参数和配置信息 /**
* 第三步:根据具体的数据来源(HDFS、HBase、Local FS、S3)通过SparkContext来创建RDD
* RDD的创建基本有三种方式:根据外部的数据来源(例如HDFS)、根据Scala集合、由其他的RDD操作
* 数据会被RDD划分称为一些列的Partitions,分配到每个Partition的数据属于一个Task的处理范畴
*/ val lines=sc.textFile("/in", 1)//导入你的hdfs上的文件
/**
* 第四步:对初始的RDD进行Transformation级别的处理,例如map、filter等高阶函数的编程,来进行具体的数据计算
* 第4.1步:将每一行的字符串拆分成单个的单词
*/
val words=lines.flatMap { line => line.split(" ")}//对每一行的字符串进行单词切分,并把所有行的切分结果通过flat合并成一个大的单词集合
/**
* 第四步:对初始的RDD进行Transformation级别的处理,例如map、filter等高阶函数的编程,来进行具体的数据计算
* 第4.2步:在单词切分的基础上,对每个单词实例的计数为1,也就是word=>(word,1)
*/
val pairs=words.map { word => (word,1) }
/**
* 第四步:对初始的RDD进行Transformation级别的处理,例如map、filter等高阶函数的编程,来进行具体的数据计算
* 第4.3步:在每个单词实例计数为1的基础之上统计每个单词在文件中出现的总次数
*/
val wordCounts=pairs.reduceByKey(_+_)//对相同的Key,进行Value的累计(包括Local和Reducer级别同时Reduce)
wordCounts.collect.foreach(wordNumberPair=>println(wordNumberPair._1+" : "+wordNumberPair._2))
sc.stop()
}
}

  (1)将你的程序打包到你的linux,运行Spark集群。具体操作为:File-->Project Structure-->Artifacts-->JAR-->From Moudle With Dependencies,注意此时要把和Spark与Scala相关的JAR去掉。

  (2)然后点击OK即可。

  注意:问为什么不能直接在IDEA中发到spark集群呢?

    1)、内存和cores的限制,默认值spark的driver会在提交spark的机器上,需要很强大的环境。

    2)、Driver要指挥workers工作,如果spark在生产环境下一定会通过写自动化shell脚本来提交程序的,如果与IDEA不在同一个网络下回出现任务丢失等问题。

    3)、安全性较差。

  (3)、通过打开spark后,执行

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