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quick-spark-process

学习spark的相关示例

LICENSE

word-count

最简单也是最经典的例子 后面搭了spark集群 并使用了hdfs来存储文件,有几点需要注意

文件的调用方式

context.textFile("D:\\data\\spark\\blsmy.txt");  -- 用于idea测试
context.textFile("file:///mnt/data/blsmy.txt"); -- 用于集群运行(前提,运行的各节点都需要有此文件)
context.textFile("hdfs://spark-master:9000/wordcount/blsmy.txt"); -- 使用hdfs调用文件

日志输出的位置

在页面中,输出的日志有sterr和stdout两种,在stdout可以查看程序中输出的内容。如果你在程序中使用了println(....)输出语句,这些信息会在stdout文件里面显示;其余的Spark运行日志会在stderr文件里面显示。 也可以直接进行日志文件进行查看,如:

/spark/software/spark/work/app-20180428142302-0003/0/stdout
/spark/software/spark/work/app-20180428142302-0003/0/stderr

启动的方式

bin/spark-submit \ 
    --master spark://spark-master:7077 \
    --driver-memory 1g \
    --executor-cores 1 \
    --class com.spark.WordCount \
    simple/word-count-1.0-SNAPSHOT.jar

spark-pi

也是一个比较经典的栗子

spark-sql

使用sparksql做的简单操作

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