【发布时间】:2017-01-27 15:49:14
【问题描述】:
我是大数据的新手,我的任务是使用 Flume 将 csv 文件传输到 HDFS,但它也应该将这些 csv 转换为 avro。我尝试使用以下水槽配置来做到这一点:
a1.channels = dataChannel
a1.sources = dataSource
a1.sinks = dataSink
a1.channels.dataChannel.type = memory
a1.channels.dataChannel.capacity = 1000000
a1.channels.dataChannel.transactionCapacity = 10000
a1.sources.dataSource.type = spooldir
a1.sources.dataSource.spoolDir = {spool_dir}
a1.sources.dataSource.fileHeader = true
a1.sources.dataSource.fileHeaderKey = file
a1.sources.dataSource.basenameHeader = true
a1.sources.dataSource.basenameHeaderKey = basename
a1.sources.dataSource.interceptors.attach-schema.type = static
a1.sources.dataSource.interceptors.attach-schema.key = flume.avro.schema.url
a1.sources.dataSource.interceptors.attach-schema.value = {path_to_schema_in_hdfs}
a1.sinks.dataSink.type = hdfs
a1.sinks.dataSink.hdfs.path = {sink_path}
a1.sinks.dataSink.hdfs.format = text
a1.sinks.dataSink.hdfs.inUsePrefix = .
a1.sinks.dataSink.hdfs.filePrefix = drone
a1.sinks.dataSink.hdfs.fileSuffix = .avro
a1.sinks.dataSink.hdfs.rollSize = 180000000
a1.sinks.dataSink.hdfs.rollCount = 100000
a1.sinks.dataSink.hdfs.rollInterval = 120
a1.sinks.dataSink.hdfs.idleTimeout = 3600
a1.sinks.dataSink.hdfs.fileType = DataStream
a1.sinks.dataSink.serializer = avro_event
带有flume默认架构的avro文件的输出。我也尝试使用AvroEventSerializer,但我遇到了很多不同的错误,我解决了所有错误,除了这个:
ERROR hdfs.HDFSEventSink: process failed
java.lang.ExceptionInInitializerError
at org.apache.hadoop.hdfs.DFSOutputStream.computePacketChunkSize(DFSOutputStream.java:1305)
at org.apache.hadoop.hdfs.DFSOutputStream.<init>(DFSOutputStream.java:1243)
at org.apache.hadoop.hdfs.DFSOutputStream.newStreamForCreate(DFSOutputStream.java:1266)
at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1101)
at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1059)
at org.apache.hadoop.hdfs.DistributedFileSystem.create(DistributedFileSystem.java:232)
at org.apache.hadoop.hdfs.DistributedFileSystem.create(DistributedFileSystem.java:75)
感谢您的帮助。
【问题讨论】:
标签: csv hadoop avro flume bigdata