试图在hortonworks中获取apache flume推文(使用教程（点参照）
Flume配置正确。这是flume.conf
TwitterAgent.sources = Twitter
TwitterAgent.channels = MemChannel
TwitterAgent.sinks = HDFS
TwitterAgent.sources.Twitter.type = com.cloudera.flume.source.TwitterSource
TwitterAgent.sources.Twitter.channels = MemChannel
TwitterAgent.sources.Twitter.consumerKey = <1bL3mTHJBheYNye8cE4vHKBZ8>
TwitterAgent.sources.Twitter.consumerSecret = <iO3f2GxrrRjtF88eA4AH6AHncz4VbmxxT22fHWzuxCLaejoxdD>
TwitterAgent.sources.Twitter.accessToken = <22976784986-nfj6qEkECeNfs3AeDLDCqtlMOCl9B1iHb8cgIF>
TwitterAgent.sources.Twitter.accessTokenSecret = <jnNPtmBxlGA8hQq5ZyxjCJLdyiKN97Xa1JTifpmp5BREf>
TwitterAgent.sources.Twitter.keywords = hadoop, big data, analytics, bigdata, cloudera, data science, data scientiest, business intelligence, mapreduce, data warehouse, data warehousing, mahout, hbase, nosql, newsql, businessintelligence, cloudcomputing
TwitterAgent.sinks.HDFS.channel = MemChannel
TwitterAgent.sinks.HDFS.type = hdfs
TwitterAgent.sinks.HDFS.hdfs.path = hdfs://localhost:9000/usr/lib/flume/tweets
TwitterAgent.sinks.HDFS.hdfs.fileType = DataStream
TwitterAgent.sinks.HDFS.hdfs.writeFormat = Text
TwitterAgent.sinks.HDFS.hdfs.batchSize = 1000
TwitterAgent.sinks.HDFS.hdfs.rollSize = 0
TwitterAgent.sinks.HDFS.hdfs.rollCount = 1000
TwitterAgent.channels.MemChannel.type = memory
TwitterAgent.channels.MemChannel.capacity = 10000
TwitterAgent.channels.MemChannel.transactionCapacity = 100运行flume代理后：
bin/flume-ng agent --conf ./conf/ -f conf/twitter.conf Dflume.root.logger=DEBUG,console -n TwitterAgent此时屏幕冻结。让我知道如何进行？还是因为沙盒我要等很久？在此处输入图像描述
1条答案
按热度按时间h22fl7wq1#
试试这个flume.conf
运行flume代理的命令
bin/flume-ng agent --conf ./conf/ -f conf/twitter.conf Dflume.root.logger=DEBUG,console -n TwitterAgent如果您有疑问，可以查看官方页面：https://github.com/cloudera/cdh-twitter-example/blob/master/flume-sources/flume.conf如果您想学习使用带有spark的flume获取数据：https://www.dezyre.com//hadoop-tutorial/flume-hadoop-twitter-data-extraction