共计 13738 个字符，预计需要花费 35 分钟才能阅读完成。
Hadoop 的安装和配置可以参考我之前的文章：在 Win7 虚拟机下搭建 Hadoop2.6.0 伪分布式环境 http://www.linuxidc.com/Linux/2015-08/120942.htm。
本篇介绍如何在 Hadoop2.6.0 基础上搭建 spark1.4.0 单机环境。
1. 软件准备
scala-2.11.7.tgz
spark-1.4.0-bin-hadoop2.6.tgz
都可以从官网下载。
2. scala 安装和配置
scala-2.11.7.tgz 解压缩即可。我解压缩到目录 /home/vm/tools/scala，之后配置~/.bash_profile 环境变量。
|
#scala export SCALA_HOME=/home/vm/tools/scala export PATH=$SCALA_HOME/bin:$PATH |
使用 source ~/.bash_profile 生效。
验证 scala 安装是否成功：
交互式使用 scala：
3. spark 安装和配置
解压缩 spark-1.4.0-bin-hadoop2.6.tgz 到 /home/vm/tools/spark 目录，之后配置~/.bash_profile 环境变量。
|
#spark export SPARK_HOME=/home/vm/tools/spark export PATH=$SPARK_HOME/bin:$PATH |
修改 $SPARK_HOME/conf/spark-env.sh
|
export SPARK_HOME=/home/vm/tools/spark export SCALA_HOME=/home/vm/tools/scala export JAVA_HOME=/home/vm/tools/jdk export SPARK_MASTER_IP=192.168.62.129 export SPARK_WORKER_MEMORY=512m |
修改 $SPARK_HOME/conf/spark-defaults.conf
|
spark.master spark://192.168.62.129:7077 spark.serializer org.apache.spark.serializer.KryoSerializer |
修改 $SPARK_HOME/conf/spark-defaults.conf
|
192.168.62.129 这是我测试机器的 IP 地址 |
启动 spark
|
cd /home/vm/tools/spark/sbin sh start-all.sh |
测试 Spark 是否安装成功
|
cd $SPARK_HOME/bin/ ./run-example SparkPi |
SparkPi 的执行日志：
1 vm@Ubuntu:~/tools/spark/bin$ ./run-example SparkPi
2
3 Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
4
5 15/07/29 00:02:32 INFO SparkContext: Running Spark version 1.4.0
6
7 15/07/29 00:02:33 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
8
9 15/07/29 00:02:34 INFO SecurityManager: Changing view acls to: vm
10
11 15/07/29 00:02:34 INFO SecurityManager: Changing modify acls to: vm
12
13 15/07/29 00:02:34 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(vm); users with modify permissions: Set(vm)
14
15 15/07/29 00:02:35 INFO Slf4jLogger: Slf4jLogger started
16
17 15/07/29 00:02:35 INFO Remoting: Starting remoting
18
19 15/07/29 00:02:36 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriver@192.168.62.129:34337]
20
21 15/07/29 00:02:36 INFO Utils: Successfully started service 'sparkDriver' on port 34337.
22
23 15/07/29 00:02:36 INFO SparkEnv: Registering MapOutputTracker
24
25 15/07/29 00:02:36 INFO SparkEnv: Registering BlockManagerMaster
26
27 15/07/29 00:02:36 INFO DiskBlockManager: Created local directory at /tmp/spark-78277899-e4c4-4dcc-8c16-f46fce5e657d/blockmgr-be03da6d-31fe-43dd-959c-6cfa4307b269
28
29 15/07/29 00:02:36 INFO MemoryStore: MemoryStore started with capacity 267.3 MB
30
31 15/07/29 00:02:36 INFO HttpFileServer: HTTP File server directory is /tmp/spark-78277899-e4c4-4dcc-8c16-f46fce5e657d/httpd-fdc26a4d-c0b6-4fc9-9dee-fb085191ee5a
32
33 15/07/29 00:02:36 INFO HttpServer: Starting HTTP Server
34
35 15/07/29 00:02:37 INFO Utils: Successfully started service 'HTTP file server' on port 56880.
36
37 15/07/29 00:02:37 INFO SparkEnv: Registering OutputCommitCoordinator
38
39 15/07/29 00:02:37 INFO Utils: Successfully started service 'SparkUI' on port 4040.
40
41 15/07/29 00:02:37 INFO SparkUI: Started SparkUI at http://192.168.62.129:4040
42
43 15/07/29 00:02:40 INFO SparkContext: Added JAR file:/home/vm/tools/spark/lib/spark-examples-1.4.0-hadoop2.6.0.jar at http://192.168.62.129:56880/jars/spark-examples-1.4.0-hadoop2.6.0.jar with timestamp 1438099360726
44
45 15/07/29 00:02:41 INFO Executor: Starting executor ID driver on host localhost
46
47 15/07/29 00:02:41 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 44722.
48
49 15/07/29 00:02:41 INFO NettyBlockTransferService: Server created on 44722
50
51 15/07/29 00:02:41 INFO BlockManagerMaster: Trying to register BlockManager
52
53 15/07/29 00:02:41 INFO BlockManagerMasterEndpoint: Registering block manager localhost:44722 with 267.3 MB RAM, BlockManagerId(driver, localhost, 44722)
54
55 15/07/29 00:02:41 INFO BlockManagerMaster: Registered BlockManager
56
57 15/07/29 00:02:43 INFO SparkContext: Starting job: reduce at SparkPi.scala:35
58
59 15/07/29 00:02:43 INFO DAGScheduler: Got job 0 (reduce at SparkPi.scala:35) with 2 output partitions (allowLocal=false)
60
61 15/07/29 00:02:43 INFO DAGScheduler: Final stage: ResultStage 0(reduce at SparkPi.scala:35)
62
63 15/07/29 00:02:43 INFO DAGScheduler: Parents of final stage: List()
64
65 15/07/29 00:02:43 INFO DAGScheduler: Missing parents: List()
66
67 15/07/29 00:02:43 INFO DAGScheduler: Submitting ResultStage 0 (MapPartitionsRDD[1] at map at SparkPi.scala:31), which has no missing parents
68
69 15/07/29 00:02:44 INFO MemoryStore: ensureFreeSpace(1888) called with curMem=0, maxMem=280248975
70
71 15/07/29 00:02:44 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 1888.0 B, free 267.3 MB)
72
73 15/07/29 00:02:44 INFO MemoryStore: ensureFreeSpace(1186) called with curMem=1888, maxMem=280248975
74
75 15/07/29 00:02:44 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 1186.0 B, free 267.3 MB)
76
77 15/07/29 00:02:44 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on localhost:44722 (size: 1186.0 B, free: 267.3 MB)
78
79 15/07/29 00:02:44 INFO SparkContext: Created broadcast 0 from broadcast at DAGScheduler.scala:874
80
81 15/07/29 00:02:44 INFO DAGScheduler: Submitting 2 missing tasks from ResultStage 0 (MapPartitionsRDD[1] at map at SparkPi.scala:31)
82
83 15/07/29 00:02:44 INFO TaskSchedulerImpl: Adding task set 0.0 with 2 tasks
84
85 15/07/29 00:02:45 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, localhost, PROCESS_LOCAL, 1344 bytes)
86
87 15/07/29 00:02:45 INFO TaskSetManager: Starting task 1.0 in stage 0.0 (TID 1, localhost, PROCESS_LOCAL, 1346 bytes)
88
89 15/07/29 00:02:45 INFO Executor: Running task 1.0 in stage 0.0 (TID 1)
90
91 15/07/29 00:02:45 INFO Executor: Running task 0.0 in stage 0.0 (TID 0)
92
93 15/07/29 00:02:45 INFO Executor: Fetching http://192.168.62.129:56880/jars/spark-examples-1.4.0-hadoop2.6.0.jar with timestamp 1438099360726
94
95 15/07/29 00:02:45 INFO Utils: Fetching http://192.168.62.129:56880/jars/spark-examples-1.4.0-hadoop2.6.0.jar to /tmp/spark-78277899-e4c4-4dcc-8c16-f46fce5e657d/userFiles-27c8dd76-e417-4d13-9bfd-a978cbbaacd1/fetchFileTemp5302506499464337647.tmp
96
97 15/07/29 00:02:47 INFO Executor: Adding file:/tmp/spark-78277899-e4c4-4dcc-8c16-f46fce5e657d/userFiles-27c8dd76-e417-4d13-9bfd-a978cbbaacd1/spark-examples-1.4.0-hadoop2.6.0.jar to class loader
98
99 15/07/29 00:02:47 INFO Executor: Finished task 1.0 in stage 0.0 (TID 1). 582 bytes result sent to driver
100
101 15/07/29 00:02:47 INFO Executor: Finished task 0.0 in stage 0.0 (TID 0). 582 bytes result sent to driver
102
103 15/07/29 00:02:47 INFO TaskSetManager: Finished task 1.0 in stage 0.0 (TID 1) in 2641 ms on localhost (1/2)
104
105 15/07/29 00:02:47 INFO TaskSetManager: Finished task 0.0 in stage 0.0 (TID 0) in 2718 ms on localhost (2/2)
106
107 15/07/29 00:02:47 INFO DAGScheduler: ResultStage 0 (reduce at SparkPi.scala:35) finished in 2.817 s
108
109 15/07/29 00:02:47 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool
110
111 15/07/29 00:02:47 INFO DAGScheduler: Job 0 finished: reduce at SparkPi.scala:35, took 4.244145 s
112
113 Pi is roughly 3.14622
114
115 15/07/29 00:02:47 INFO SparkUI: Stopped Spark web UI at http://192.168.62.129:4040
116
117 15/07/29 00:02:47 INFO DAGScheduler: Stopping DAGScheduler
118
119 15/07/29 00:02:48 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
120
121 15/07/29 00:02:48 INFO Utils: path = /tmp/spark-78277899-e4c4-4dcc-8c16-f46fce5e657d/blockmgr-be03da6d-31fe-43dd-959c-6cfa4307b269, already present as root for deletion.
122
123 15/07/29 00:02:48 INFO MemoryStore: MemoryStore cleared
124
125 15/07/29 00:02:48 INFO BlockManager: BlockManager stopped
126
127 15/07/29 00:02:48 INFO BlockManagerMaster: BlockManagerMaster stopped
128
129 15/07/29 00:02:48 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
130
131 15/07/29 00:02:48 INFO SparkContext: Successfully stopped SparkContext
132
133 15/07/29 00:02:48 INFO Utils: Shutdown hook called
134
135 15/07/29 00:02:48 INFO Utils: Deleting directory /tmp/spark-78277899-e4c4-4dcc-8c16-f46fce5e657d在浏览器中打开地址 http://192.168.62.129:8080 可以查看 spark 集群和任务基本情况：
4. spark-shell 工具
在 /home/vm/tools/spark/bin 下执行./spark-shell，即可进入 spark-shell 交互界面。通过 spark-shell 可以进行一些调试工作。
1 vm@ubuntu:~/tools/spark/bin$ ./spark-shell
2
3 log4j:WARN No appenders could be found for logger (org.apache.hadoop.metrics2.lib.MutableMetricsFactory).
4
5 log4j:WARN Please initialize the log4j system properly.
6
7 log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.
8
9 Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
10
11 15/07/29 00:08:02 INFO SecurityManager: Changing view acls to: vm
12
13 15/07/29 00:08:02 INFO SecurityManager: Changing modify acls to: vm
14
15 15/07/29 00:08:02 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(vm); users with modify permissions: Set(vm)
16
17 15/07/29 00:08:03 INFO HttpServer: Starting HTTP Server
18
19 15/07/29 00:08:04 INFO Utils: Successfully started service 'HTTP class server' on port 56464.
20
21 Welcome to
22
23 ____ __
24
25 / __/__ ___ _____/ /__
26
27 _\ \/ _ \/ _ `/ __/ '_/
28
29 /___/ .__/\_,_/_/ /_/\_\ version 1.4.0
30
31 /_/
32
33
34
35 Using Scala version 2.10.4 (Java HotSpot(TM) 64-Bit Server VM, Java 1.7.0_80)
36
37 Type in expressions to have them evaluated.
38
39 Type :help for more information.
40
41 15/07/29 00:08:37 INFO SparkContext: Running Spark version 1.4.0
42
43 15/07/29 00:08:38 INFO SecurityManager: Changing view acls to: vm
44
45 15/07/29 00:08:38 INFO SecurityManager: Changing modify acls to: vm
46
47 15/07/29 00:08:38 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(vm); users with modify permissions: Set(vm)
48
49 15/07/29 00:08:40 INFO Slf4jLogger: Slf4jLogger started
50
51 15/07/29 00:08:41 INFO Remoting: Starting remoting
52
53 15/07/29 00:08:42 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriver@192.168.62.129:59312]
54
55 15/07/29 00:08:42 INFO Utils: Successfully started service 'sparkDriver' on port 59312.
56
57 15/07/29 00:08:42 INFO SparkEnv: Registering MapOutputTracker
58
59 15/07/29 00:08:42 INFO SparkEnv: Registering BlockManagerMaster
60
61 15/07/29 00:08:43 INFO DiskBlockManager: Created local directory at /tmp/spark-621ebed4-8bd8-4e87-9ea5-08b5c7f05e98/blockmgr-a12211dd-e0ba-4556-999c-6249b9c44d8a
62
63 15/07/29 00:08:43 INFO MemoryStore: MemoryStore started with capacity 267.3 MB
64
65 15/07/29 00:08:43 INFO HttpFileServer: HTTP File server directory is /tmp/spark-621ebed4-8bd8-4e87-9ea5-08b5c7f05e98/httpd-8512d909-5a81-4935-8fbd-2b2ed741ae26
66
67 15/07/29 00:08:43 INFO HttpServer: Starting HTTP Server
68
69 15/07/29 00:08:57 INFO Utils: Successfully started service 'HTTP file server' on port 43678.
70
71 15/07/29 00:09:00 INFO SparkEnv: Registering OutputCommitCoordinator
72
73 15/07/29 00:09:02 INFO Utils: Successfully started service 'SparkUI' on port 4040.
74
75 15/07/29 00:09:02 INFO SparkUI: Started SparkUI at http://192.168.62.129:4040
76
77 15/07/29 00:09:03 INFO Executor: Starting executor ID driver on host localhost
78
79 15/07/29 00:09:03 INFO Executor: Using REPL class URI: http://192.168.62.129:56464
80
81 15/07/29 00:09:04 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 50636.
82
83 15/07/29 00:09:04 INFO NettyBlockTransferService: Server created on 50636
84
85 15/07/29 00:09:04 INFO BlockManagerMaster: Trying to register BlockManager
86
87 15/07/29 00:09:04 INFO BlockManagerMasterEndpoint: Registering block manager localhost:50636 with 267.3 MB RAM, BlockManagerId(driver, localhost, 50636)
88
89 15/07/29 00:09:04 INFO BlockManagerMaster: Registered BlockManager
90
91 15/07/29 00:09:05 INFO SparkILoop: Created spark context..
92
93 Spark context available as sc.
94
95 15/07/29 00:09:07 INFO HiveContext: Initializing execution hive, version 0.13.1
96
97 15/07/29 00:09:09 INFO HiveMetaStore: 0: Opening raw store with implemenation class:org.apache.hadoop.hive.metastore.ObjectStore
98
99 15/07/29 00:09:09 INFO ObjectStore: ObjectStore, initialize called
100
101 15/07/29 00:09:10 INFO Persistence: Property datanucleus.cache.level2 unknown - will be ignored
102
103 15/07/29 00:09:10 INFO Persistence: Property hive.metastore.integral.jdo.pushdown unknown - will be ignored
104
105 15/07/29 00:09:11 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies)
106
107 15/07/29 00:09:13 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies)
108
109 15/07/29 00:09:19 INFO ObjectStore: Setting MetaStore object pin classes with hive.metastore.cache.pinobjtypes="Table,StorageDescriptor,SerDeInfo,Partition,Database,Type,FieldSchema,Order"
110
111 15/07/29 00:09:20 INFO MetaStoreDirectSql: MySQL check failed, assuming we are not on mysql: Lexical error at line 1, column 5. Encountered: "@" (64), after : "".
112
113 15/07/29 00:09:23 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as "embedded-only" so does not have its own datastore table.
114
115 15/07/29 00:09:23 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as "embedded-only" so does not have its own datastore table.
116
117 15/07/29 00:09:28 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as "embedded-only" so does not have its own datastore table.
118
119 15/07/29 00:09:28 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as "embedded-only" so does not have its own datastore table.
120
121 15/07/29 00:09:29 INFO ObjectStore: Initialized ObjectStore
122
123 15/07/29 00:09:29 WARN ObjectStore: Version information not found in metastore. hive.metastore.schema.verification is not enabled so recording the schema version 0.13.1aa
124
125 15/07/29 00:09:31 INFO HiveMetaStore: Added admin role in metastore
126
127 15/07/29 00:09:31 INFO HiveMetaStore: Added public role in metastore
128
129 15/07/29 00:09:31 INFO HiveMetaStore: No user is added in admin role, since config is empty
130
131 15/07/29 00:09:32 INFO SessionState: No Tez session required at this point. hive.execution.engine=mr.
132
133 15/07/29 00:09:32 INFO SparkILoop: Created sql context (with Hive support)..
134
135 SQL context available as sqlContext.
136
137
138
139 scala>下一篇将介绍分别用 eclipse 和 IDEA 搭建 spark 开发环境。
Ubuntu14.04 下 Hadoop2.4.1 单机 / 伪分布式安装配置教程 http://www.linuxidc.com/Linux/2015-02/113487.htm
CentOS 安装和配置 Hadoop2.2.0 http://www.linuxidc.com/Linux/2014-01/94685.htm
Ubuntu 13.04 上搭建 Hadoop 环境 http://www.linuxidc.com/Linux/2013-06/86106.htm
Ubuntu 12.10 +Hadoop 1.2.1 版本集群配置 http://www.linuxidc.com/Linux/2013-09/90600.htm
Ubuntu 上搭建 Hadoop 环境（单机模式 + 伪分布模式）http://www.linuxidc.com/Linux/2013-01/77681.htm
Ubuntu 下 Hadoop 环境的配置 http://www.linuxidc.com/Linux/2012-11/74539.htm
单机版搭建 Hadoop 环境图文教程详解 http://www.linuxidc.com/Linux/2012-02/53927.htm
更多 Hadoop 相关信息见 Hadoop 专题页面 http://www.linuxidc.com/topicnews.aspx?tid=13
本文永久更新链接地址 ：http://www.linuxidc.com/Linux/2015-08/120945.htm
正文完
星哥玩云-微信公众号
