Question

尝试在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

我跑完水槽剂后：

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？或者我应该等待沙箱？ enter image description here

Answer 1

试试这个flume.conf

#flume.conf for twitter

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 = <required>
TwitterAgent.sources.Twitter.consumerSecret = <required>
TwitterAgent.sources.Twitter.accessToken = <required> 
TwitterAgent.sources.Twitter.accessTokenSecret = <required> 
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 = 10000

TwitterAgent.channels.MemChannel.type = memory
TwitterAgent.channels.MemChannel.capacity = 10000
TwitterAgent.channels.MemChannel.transactionCapacity = 100

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，可以查看官方网页： https://github.com/cloudera/cdh-twitter-example/blob/master/flume-sources/flume.conf

如果您想学习使用Flume with Spark获取数据： https://www.dezyre.com//hadoop-tutorial/flume-hadoop-twitter-data-extraction

Apache Flume没有继续使用Twitter Stream

1 个答案: