试图在 HortonWorks 中获取 Apache Flume 推文。(使用教程点参考)
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
在我运行水槽代理后:
bin/flume-ng agent --conf ./conf/ -f conf/twitter.conf Dflume.root.logger=DEBUG,console -n TwitterAgent
屏幕在这一点上冻结。让我知道如何进行?还是由于沙盒,我应该等待很长时间? 在此处输入图像描述