使用flume将csv文件传输到hdfs，并将它们转换为avro

Posted 2023-04-18

【中文标题】使用flume将csv文件传输到hdfs，并将它们转换为avro

【英文标题】：Transfering csv files into hdfs, with converting them to avro, using flume

【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。

【参考方案1】：

抱歉配置中的错误。我修复了它们并找到了将 css 转换为 avro 的方法。我这样修改了AvroEventSerializer：

public void write(Event event) throws IOException 
        if (dataFileWriter == null) 
            initialize(event);
        
        String[] items = new String(event.getBody()).split(",");
        city.put("deviceID", Long.parseLong(items[0]));
        city.put("groupID", Long.parseLong(items[1]));
        city.put("timeCounter", Long.parseLong(items[2]));
        city.put("cityCityName", items[3]);
        city.put("cityStateCode", items[4]);
        city.put("sessionCount", Long.parseLong(items[5]));
        city.put("errorCount", Long.parseLong(items[6]));
        dataFileWriter.append(citi);
    

这里是city 定义：

private GenericRecord city = null;

如果您知道更好的方法，请回复