Spark API编程动手实战-02-以集群模式进行Spark API实战textFile、cach
Spark API编程动手实战-02-以集群模式进行Spark API实战textFile、cach
stark_summer 发表于3年前
Spark API编程动手实战-02-以集群模式进行Spark API实战textFile、cach
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摘要: Spark API编程动手实战-02-以集群模式进行Spark API实战textFile、cache、count

操作HDFS:先要保证HDFS启动了:


启动spark集群:


以spark-shell运行在spark集群上:



查看下之前上传到HDFS上的”LICENSE.txt“文件:


用spark读取这个文件:


使用count统计该文件的行数:


 我们可以看到count 耗时为0.239708s

对该RDD进行cache操作并执行count使得缓存生效:


执行count结果为:


此时耗时为0.21132s

再执行count操作:


此时耗时为0.029580s,这时因为我们自己基于cache后的数据进行操作的。

接着我们对上面的rdd进行wordcount操作:



通过saveAsTextFile把数据存到HDFS中:


我们通过web控制台查看下运行结果:


我们通过命令行看下part-00000和part-00001内容:

[spark@S1PA222 ~]$ hadoop fs -cat /data/resultLicenseWordCount/part-00000
15/01/22 13:51:32 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
(under,10)
(Unless,3)
(Contributions),1)
(offer,1)
(agree,1)
(BUSINESS,2)
(NON-INFRINGEMENT,,1)
(its,4)
(materials,2)
(event,1)
(intentionally,2)
(Grant,2)
(writing,1)
(include,3)
(responsibility,,1)
(have,2)
(MERCHANTABILITY,,1)
(Contribution,3)
(Massachusetts,1)
(express,2)
("Your"),1)
((i),1)
(However,,1)
(been,2)
(files;,1)
(This,1)
(stating,1)
(2-Clause,1)
(conditions.,1)
(non-exclusive,,2)
(appropriateness,1)
(marked,1)
(risks,1)
(any,28)
(IS",4)
(implementation,1)
(filed.,1)
(Sections,1)
(fee,1)
(losses),,1)
(out,1)
(contract,2)
(DISTRIBUTION,1)
(4.,1)
(file,6)
(documentation,,2)
(wherever,1)
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(below).,1)
(names,,1)
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(ANY,10)
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("[]",1)
(FITNESS,3)
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(CONTRIBUTORS,4)
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(limited,4)
(LZ4,3)
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((a),1)
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(MERCHANTABILITY,2)
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(SUBCOMPONENTS:,1)
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(third-party,2)
(,1299)
(description,1)
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(list,4)
(*,34)
(INDIRECT,,2)
(designated,1)
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(addendum,1)
(damages.,1)
(Yann,1)
(EXPRESS,2)
(License;,1)
(6.,1)
(GOODS,2)
(subsequently,1)
(included,2)
(replaced,1)
(notice,,5)
[spark@S1PA222 ~]$   hadoop fs -cat /data/resultLicenseWordCount/part-00001

15/01/22 13:52:29 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
(For,6)
(reproduce,,1)
("Contributor",1)
((or,3)
(nothing,1)
(work.,1)
(content,1)
(HOLDERS,2)
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(perform,,1)
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(goodwill,,1)
(herein,1)
(direct,,1)
(used,1)
(To,1)
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(9.,1)
(these,1)
(control,,1)
(INCIDENTAL,,2)
(indicated,1)
(part,4)
(alone,1)
(different,1)
(forms,,2)
(purposes,4)
(https://groups.google.com/forum/#!forum/lz4c,1)
(be,7)
(/**,2)
(carry,1)
(separable,1)
(including,5)
(contained,1)
(combination,1)
(calculation,1)
(license,7)
(FOR,6)
(thereof,,2)
(ARISING,2)
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(but,5)
(types.,1)
(stated,2)
(archives.,1)
(obligations,,1)
(5.,1)
(Works;,3)
(nor,1)
("Legal,1)
(Work,20)
(whole,,2)
(Copyright,5)
(at,3)
(copyright,,1)
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((INCLUDING,2)
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(Contributions.,2)
(mean,10)
(individual,3)
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(name,2)
(definition,,2)
(that,25)
(src/main/native/src/org/apache/hadoop/io/compress/lz4/{lz4.h,lz4.c,lz4hc.h,lz4hc.c},,1)
(customary,1)
(BSD,1)
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(claims,2)
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(based,1)
(medium,,1)
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(worldwide,,2)
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(files.,1)
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(POSSIBILITY,2)
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(copies,1)
(a,21)
(statement,1)
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(by,,3)
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(Your,9)
(where,1)
(liability.,1)
(governing,1)
(NOT,4)
(License,,6)
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(copyright,15)
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(mechanical,1)
(Contributor,8)
[spark@S1PA222 ~]$

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