前往小程序，Get更优阅读体验！
立即前往
文档建议反馈控制台
首页
学习
活动
专区
工具
TVP
最新优惠活动
文章/答案/技术大牛
发布
首页
学习
活动
专区
工具
TVP最新优惠活动
返回腾讯云官网
社区首页 >专栏 >大数据日志收集框架之Flume实战

大数据日志收集框架之Flume实战

作者头像
静谧星空TEL
发布于 2021-04-27 14:21:43
9030
发布于 2021-04-27 14:21:43
举报
文章被收录于专栏：云计算与大数据技术

一、环境准备

flume官方文档：http://flume.apache.org/documentation.html

1、安装包下载

jdk1.8

flume1.9.0：http://flume.apache.org/download.html

2、安装flume

代码语言：javascript
复制
tar zxvf apache-flume-1.9.0-bin.tar.gz -C /usr/local/
代码语言：javascript
复制
ln -s apache-flume-1.9.0-bin flume

3、修改配置文件

代码语言：javascript
复制
cd /usr/local/flume/conf
代码语言：javascript
复制
cp flume-conf.properties.template flume-conf.properties
cp flume-env.ps1.template flume-env.ps1
cp flume-env.sh.template flume-env.sh

 二、配置环境变量

1、配置java环境变量

代码语言：javascript
复制
export JAVA_HOME=/usr/java/jdk1.8.0_241-amd64
export PATH=$PATH:$JAVA_HOME/bin

2、配置flume环境变量

代码语言：javascript
复制
export FLUME_HOME=/usr/local/flume
export PATH=$PATH:$FLUME_HOME/bin

三、flume source

1、netcat source

在 /usr/local/flume 目录下创建 example.conf 文件，文件内容如下

source类型为监控端口，sink类型为日志输出，channel类型为内存，channel的最大存储event数量为1000，每次source发送或者sink接收event的数量为100

代码语言：javascript
复制
# example.conf: A single-node Flume configuration

# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1

# Describe/configure the source
a1.sources.r1.type = netcat
a1.sources.r1.bind = localhost
a1.sources.r1.port = 44444

# Describe the sink
a1.sinks.k1.type = logger

# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

启动flume agent，配置文件为 example.conf ，agent名称为 a1 ，以日志形式在控制台显示接收source消息 

代码语言：javascript
复制
flume-ng agent --conf conf --conf-file example.conf --name a1 -Dflume.root.logger=INFO,console

也可以使用命令简令， -c 指定flume的配置目录，-f 指定定义组件的配置文件 -n 指定组件中agent的名称，-Dflume.root.logger=INFO,console为flume的运行日志

代码语言：javascript
复制
flume-ng agent -c $FLUME_HOME/conf -f $FLUME_HOME/example.conf -n a1 -Dflume.root.logger=INFO,console
代码语言：javascript
复制
telnet localhost 44444

 效果如图 ，sink监听本机44444端口，使用telnet向本机44444端口发送消息模拟source端发送消息，可以看到sink端以控制台日志的形式接收了source端的消息发送

flume还支持配置文件使用环境变量，仅限于值使用，变量也可以通过 conf/flume-env.sh 文件配置

将 example.conf source监听的端口 修改为 

代码语言：javascript
复制
a1.sources.r1.port = ${BIND_PORT}

需要添加参数 -DpropertiesImplementation=org.apache.flume.node.EnvVarResolverProperties

代码语言：javascript
复制
BIND_PORT=44444 flume-ng agent -c $FLUME_HOME/conf -f $FLUME_HOME/example.conf -n a1 -Dflume.root.logger=INFO,console -DpropertiesImplementation=org.apache.flume.node.EnvVarResolverProperties

2、avro source

在flume根目录新建 example文件夹，将 example.conf 文件复制为 netcat_source.conf 文件

代码语言：javascript
复制
cd $FLUME_HOME && mkdir example
代码语言：javascript
复制
mv $FLUME_HOME/example.conf $FLUME_HOME/example && cp $FLUME_HOME/example.conf  $FLUME_HOME/example/netcat_source.conf
代码语言：javascript
复制
cd $FLUME_HOME/example && cp example.conf && vim avro_source.conf

修改 avro_source.conf 为

代码语言：javascript
复制
a1.sources.r1.type = avro
a1.sources.r1.bind = ${BIND_IP}
a1.sources.r1.port = ${BIND_PORT}

启动 Agent 

代码语言：javascript
复制
BIND_IP=localhost BIND_PORT=55555 flume-ng agent -c $FLUME_HOME/conf -f $FLUME_HOME/example/avro_source.conf -n a1 -Dflume.root.logger=INFO,console -DpropertiesImplementation=org.apache.flume.node.EnvVarResolverProperties

启动 Avro Client

代码语言：javascript
复制
flume-ng avro-client -c $FLUME_HOME/conf -H localhost -p 55555 -F /etc/profile

3、exec source

代码语言：javascript
复制
cd $FLUME_HOME/example && cp example.conf exec_tail_source.conf && vim exec_tail_source.conf

复制 example.conf 文件为 exec_tail_source.conf，修改以下内容为

代码语言：javascript
复制
a1.sources.r1.type = exec
a1.sources.r1.bind = ${BIND_IP}
a1.sources.r1.port = ${BIND_PORT}
a1.sources.r1.command = tail -F ${FLUME_HOME}/example/test.log

启动 Agent 

代码语言：javascript
复制
BIND_IP=localhost BIND_PORT=55555 flume-ng agent -c $FLUME_HOME/conf -f $FLUME_HOME/example/exec_tail_source.conf -n a1 -Dflume.root.logger=INFO,console -DpropertiesImplementation=org.apache.flume.node.EnvVarResolverProperties

向监控的文件写入数据

代码语言：javascript
复制
ping 127.0.0.1 >> ${FLUME_HOME}/example/test.log
代码语言：javascript
复制
tail -F ${FLUME_HOME}/example/test.log

4、spooldir Source

代码语言：javascript
复制
cd $FLUME_HOME/example && cp example.conf spooldir_source.conf && vim spooldir_source.conf

复制 example.conf 文件为 exec_tail_source.conf，修改以下内容为

代码语言：javascript
复制
a1.sources.r1.type = spooldir
a1.sources.r1.spoolDir = ${FLUME_HOME}/example/test_spooldir
a1.sources.r1.fileSuffix = .csv
a1.sources.r1.fileHeader = true
# a1.sources.r1.bind = ${BIND_IP}
# a1.sources.r1.port = ${BIND_PORT}

启动 Agent 

代码语言：javascript
复制
flume-ng agent -c $FLUME_HOME/conf -f $FLUME_HOME/example/spooldir_source.conf -n a1 -Dflume.root.logger=INFO,console

写入文件

代码语言：javascript
复制
cd $FLUME_HOME/example/test_spooldir
echo 111 >> 1.txt
echo 222 >> 2.txt
ll

5、thrift source

代码语言：javascript
复制
cd $FLUME_HOME/example && cp example.conf thrift_source.conf && vim thrift_source.conf

复制 example.conf 文件为 thrift.conf，修改以下内容为

代码语言：javascript
复制
a1.sources.r1.type = thrift
a1.sources.r1.bind = ${BIND_IP}
a1.sources.r1.port = ${BIND_PORT}

启动 Agent 

代码语言：javascript
复制
BIND_IP=0.0.0.0 BIND_PORT=55555 flume-ng agent -c $FLUME_HOME/conf -f $FLUME_HOME/example/thrift_source.conf -n a1 -Dflume.root.logger=INFO,console -DpropertiesImplementation=org.apache.flume.node.EnvVarResolverProperties

发送数据

代码语言：javascript
复制
import org.apache.flume.Event;
import org.apache.flume.EventDeliveryException;
import org.apache.flume.api.RpcClient;
import org.apache.flume.api.RpcClientFactory;
import org.apache.flume.event.EventBuilder;

import java.nio.charset.Charset;
import java.util.Arrays;

//import org.apache.flume.api.SecureRpcClientFactory;

public class MyFlumeRpcClient01 {

    public static void main(String[] args) {

//        String hostname = "127.0.0.1";
        String hostname = "192.168.0.181";
        int port = 55555;

        System.out.println((null==args) + "\t" + (String.valueOf(args.length)));
        System.out.println(Arrays.toString(args));

        if(null!=args && args.length!=0) {
            hostname = args[0];
            port = Integer.valueOf(args[1]);
        }

        System.out.println(hostname);
        System.out.println(port);

        RpcClient client =  RpcClientFactory.getThriftInstance(hostname, port);
        Event event;

        for(int i=0;i<10;i++) {
            event = EventBuilder.withBody(String.valueOf(System.currentTimeMillis()), Charset.forName("UTF-8"));
            try {
                client.append(event);
                Thread.sleep(600);
            } catch (EventDeliveryException | InterruptedException e) {
                e.printStackTrace();
                client.close();
                client =  RpcClientFactory.getThriftInstance(hostname, port);
            }
        }
        client.close();

    }
}

Maven配置

代码语言：javascript
复制
      org.apache.flume
      flume-ng-core
      1.9.0
    
    
    
      org.apache.flume
      flume-ng-sdk
      1.9.0

Maven打包

代码语言：javascript
复制
mvn clean package -DskipTest

 执行 java -cp 命令

代码语言：javascript
复制
java -cp real-time-1.0-jar-with-dependencies.jar com.xtd.java.flume.MyFlumeRpcClient01

flume控制台接收thrift发送的时间戳数据 

6、JMS Source

代码语言：javascript
复制
a1.sources = r1
a1.channels = c1
a1.sources.r1.type = jms
a1.sources.r1.channels = c1
a1.sources.r1.initialContextFactory = org.apache.activemq.jndi.ActiveMQInitialContextFactory
a1.sources.r1.connectionFactory = GenericConnectionFactory
a1.sources.r1.providerURL = tcp://mqserver:61616
a1.sources.r1.destinationName = BUSINESS_DATA
a1.sources.r1.destinationType = QUEUE

7、Kafka Source

代码语言：javascript
复制
tier1.sources.source1.type = org.apache.flume.source.kafka.KafkaSource
tier1.sources.source1.channels = channel1
tier1.sources.source1.batchSize = 5000
tier1.sources.source1.batchDurationMillis = 2000
tier1.sources.source1.kafka.bootstrap.servers = localhost:9092
tier1.sources.source1.kafka.topics = test1, test2
tier1.sources.source1.kafka.consumer.group.id = custom.g.id
代码语言：javascript
复制
tier1.sources.source1.type = org.apache.flume.source.kafka.KafkaSource
tier1.sources.source1.channels = channel1
tier1.sources.source1.kafka.bootstrap.servers = localhost:9092
tier1.sources.source1.kafka.topics.regex = ^topic[0-9]$
# the default kafka.consumer.group.id=flume is used

8、NetCat TCP Source

代码语言：javascript
复制
a1.sources = r1
a1.channels = c1
a1.sources.r1.type = netcat
a1.sources.r1.bind = 0.0.0.0
a1.sources.r1.port = 6666
a1.sources.r1.channels = c1

9、NetCat UDP Source

代码语言：javascript
复制
a1.sources = r1
a1.channels = c1
a1.sources.r1.type = netcatudp
a1.sources.r1.bind = 0.0.0.0
a1.sources.r1.port = 6666
a1.sources.r1.channels = c1

9、Sequence Generator Source

代码语言：javascript
复制
a1.sources = r1
a1.channels = c1
a1.sources.r1.type = seq
a1.sources.r1.channels = c1

10、Syslog TCP Source

代码语言：javascript
复制
a1.sources = r1
a1.channels = c1
a1.sources.r1.type = syslogtcp
a1.sources.r1.port = 5140
a1.sources.r1.host = localhost
a1.sources.r1.channels = c1

11、Multiport Syslog TCP Source

代码语言：javascript
复制
a1.sources = r1
a1.channels = c1
a1.sources.r1.type = multiport_syslogtcp
a1.sources.r1.channels = c1
a1.sources.r1.host = 0.0.0.0
a1.sources.r1.ports = 10001 10002 10003
a1.sources.r1.portHeader = port

12、Syslog UDP Source

代码语言：javascript
复制
a1.sources = r1
a1.channels = c1
a1.sources.r1.type = syslogudp
a1.sources.r1.port = 5140
a1.sources.r1.host = localhost
a1.sources.r1.channels = c1

13、HTTP Source

代码语言：javascript
复制
a1.sources = r1
a1.channels = c1
a1.sources.r1.type = http
a1.sources.r1.port = 5140
a1.sources.r1.channels = c1
a1.sources.r1.handler = org.example.rest.RestHandler
a1.sources.r1.handler.nickname = random props
a1.sources.r1.HttpConfiguration.sendServerVersion = false
a1.sources.r1.ServerConnector.idleTimeout = 300

14、Stress Source

代码语言：javascript
复制
a1.sources = stresssource-1
a1.channels = memoryChannel-1
a1.sources.stresssource-1.type = org.apache.flume.source.StressSource
a1.sources.stresssource-1.size = 10240
a1.sources.stresssource-1.maxTotalEvents = 1000000
a1.sources.stresssource-1.channels = memoryChannel-1

15、Avro Legacy Source

代码语言：javascript
复制
a1.sources = r1
a1.channels = c1
a1.sources.r1.type = org.apache.flume.source.avroLegacy.AvroLegacySource
a1.sources.r1.host = 0.0.0.0
a1.sources.r1.bind = 6666
a1.sources.r1.channels = c1

16、Thrift Legacy Source

代码语言：javascript
复制
a1.sources = r1
a1.channels = c1
a1.sources.r1.type = org.apache.flume.source.thriftLegacy.ThriftLegacySource
a1.sources.r1.host = 0.0.0.0
a1.sources.r1.bind = 6666
a1.sources.r1.channels = c1

17、Custom Source

代码语言：javascript
复制
 a1.sources = r1
a1.channels = c1
a1.sources.r1.type = org.example.MySource
a1.sources.r1.channels = c1

18、Scribe Source

代码语言：javascript
复制
a1.sources = r1
a1.channels = c1
a1.sources.r1.type = org.apache.flume.source.scribe.ScribeSource
a1.sources.r1.port = 1463
a1.sources.r1.workerThreads = 5
a1.sources.r1.channels = c1

 四、flume sink

1、hdfs sink

代码语言：javascript
复制
a1.channels = c1
a1.sinks = k1
a1.sinks.k1.type = hdfs
a1.sinks.k1.channel = c1
a1.sinks.k1.hdfs.path = /flume/events/%y-%m-%d/%H%M/%S
a1.sinks.k1.hdfs.filePrefix = events-
a1.sinks.k1.hdfs.round = true
a1.sinks.k1.hdfs.roundValue = 10
a1.sinks.k1.hdfs.roundUnit = minute

2、hive sink

hive sink需要定义的内容比较多，根据表的字段，分区以及分隔符的不同设置相应与之变化，如下hive建表

代码语言：javascript
复制
create table weblogs ( id int , msg string )
    partitioned by (continent string, country string, time string)
    clustered by (id) into 5 buckets
    stored as orc;

 hive_sink.conf

代码语言：javascript
复制
a1.channels = c1
a1.channels.c1.type = memory
a1.sinks = k1
a1.sinks.k1.type = hive
a1.sinks.k1.channel = c1
a1.sinks.k1.hive.metastore = thrift://127.0.0.1:9083
a1.sinks.k1.hive.database = logsdb
a1.sinks.k1.hive.table = weblogs
a1.sinks.k1.hive.partition = asia,%{country},%y-%m-%d-%H-%M
a1.sinks.k1.useLocalTimeStamp = false
a1.sinks.k1.round = true
a1.sinks.k1.roundValue = 10
a1.sinks.k1.roundUnit = minute
a1.sinks.k1.serializer = DELIMITED
a1.sinks.k1.serializer.delimiter = "\t"
a1.sinks.k1.serializer.serdeSeparator = '\t'
a1.sinks.k1.serializer.fieldnames =id,,msg

3、logger sink

代码语言：javascript
复制
a1.channels = c1
a1.sinks = k1
a1.sinks.k1.type = logger
a1.sinks.k1.channel = c1

4、avro sink

代码语言：javascript
复制
a1.channels = c1
a1.sinks = k1
a1.sinks.k1.type = avro
a1.sinks.k1.channel = c1
a1.sinks.k1.hostname = 10.10.10.10
a1.sinks.k1.port = 4545

5、Thrift Sink

代码语言：javascript
复制
a1.channels = c1
a1.sinks = k1
a1.sinks.k1.type = thrift
a1.sinks.k1.channel = c1
a1.sinks.k1.hostname = 10.10.10.10
a1.sinks.k1.port = 4545

6、IRC Sink

代码语言：javascript
复制
a1.channels = c1
a1.sinks = k1
a1.sinks.k1.type = irc
a1.sinks.k1.channel = c1
a1.sinks.k1.hostname = irc.yourdomain.com
a1.sinks.k1.nick = flume
a1.sinks.k1.chan = #flume

7、File Roll Sink

代码语言：javascript
复制
a1.channels = c1
a1.sinks = k1
a1.sinks.k1.type = file_roll
a1.sinks.k1.channel = c1
a1.sinks.k1.sink.directory = /var/log/flume

8、Null Sink

代码语言：javascript
复制
a1.channels = c1
a1.sinks = k1
a1.sinks.k1.type = null
a1.sinks.k1.channel = c1

9、HBase1Sink

代码语言：javascript
复制
a1.channels = c1
a1.sinks = k1
a1.sinks.k1.type = hbase
a1.sinks.k1.table = foo_table
a1.sinks.k1.columnFamily = bar_cf
a1.sinks.k1.serializer = org.apache.flume.sink.hbase.RegexHbaseEventSerializer
a1.sinks.k1.channel = c1

10、HBase2Sink

代码语言：javascript
复制
a1.channels = c1
a1.sinks = k1
a1.sinks.k1.type = hbase2
a1.sinks.k1.table = foo_table
a1.sinks.k1.columnFamily = bar_cf
a1.sinks.k1.serializer = org.apache.flume.sink.hbase2.RegexHBase2EventSerializer
a1.sinks.k1.channel = c1

10、AsyncHBaseSink

代码语言：javascript
复制
a1.channels = c1
a1.sinks = k1
a1.sinks.k1.type = asynchbase
a1.sinks.k1.table = foo_table
a1.sinks.k1.columnFamily = bar_cf
a1.sinks.k1.serializer = org.apache.flume.sink.hbase.SimpleAsyncHbaseEventSerializer
a1.sinks.k1.channel = c1

11、MorphlineSolrSink

代码语言：javascript
复制
a1.channels = c1
a1.sinks = k1
a1.sinks.k1.type = org.apache.flume.sink.solr.morphline.MorphlineSolrSink
a1.sinks.k1.channel = c1
a1.sinks.k1.morphlineFile = /etc/flume-ng/conf/morphline.conf
# a1.sinks.k1.morphlineId = morphline1
# a1.sinks.k1.batchSize = 1000
# a1.sinks.k1.batchDurationMillis = 1000

12、ElasticSearchSink

代码语言：javascript
复制
a1.channels = c1
a1.sinks = k1
a1.sinks.k1.type = elasticsearch
a1.sinks.k1.hostNames = 127.0.0.1:9200,127.0.0.2:9300
a1.sinks.k1.indexName = foo_index
a1.sinks.k1.indexType = bar_type
a1.sinks.k1.clusterName = foobar_cluster
a1.sinks.k1.batchSize = 500
a1.sinks.k1.ttl = 5d
a1.sinks.k1.serializer = org.apache.flume.sink.elasticsearch.ElasticSearchDynamicSerializer
a1.sinks.k1.channel = c1

13、Kite Dataset Sink

14、Kafka Sink

代码语言：javascript
复制
a1.sinks.k1.channel = c1
a1.sinks.k1.type = org.apache.flume.sink.kafka.KafkaSink
a1.sinks.k1.kafka.topic = mytopic
a1.sinks.k1.kafka.bootstrap.servers = localhost:9092
a1.sinks.k1.kafka.flumeBatchSize = 20
a1.sinks.k1.kafka.producer.acks = 1
a1.sinks.k1.kafka.producer.linger.ms = 1
a1.sinks.k1.kafka.producer.compression.type = snappy

15、TSL Kafka Sink

代码语言：javascript
复制
a1.sinks.sink1.type = org.apache.flume.sink.kafka.KafkaSink
a1.sinks.sink1.kafka.bootstrap.servers = kafka-1:9093,kafka-2:9093,kafka-3:9093
a1.sinks.sink1.kafka.topic = mytopic
a1.sinks.sink1.kafka.producer.security.protocol = SSL
# optional, the global truststore can be used alternatively
a1.sinks.sink1.kafka.producer.ssl.truststore.location = /path/to/truststore.jks
a1.sinks.sink1.kafka.producer.ssl.truststore.password =

16、HTTP Sink

代码语言：javascript
复制
a1.channels = c1
a1.sinks = k1
a1.sinks.k1.type = http
a1.sinks.k1.channel = c1
a1.sinks.k1.endpoint = http://localhost:8080/someuri
a1.sinks.k1.connectTimeout = 2000
a1.sinks.k1.requestTimeout = 2000
a1.sinks.k1.acceptHeader = application/json
a1.sinks.k1.contentTypeHeader = application/json
a1.sinks.k1.defaultBackoff = true
a1.sinks.k1.defaultRollback = true
a1.sinks.k1.defaultIncrementMetrics = false
a1.sinks.k1.backoff.4XX = false
a1.sinks.k1.rollback.4XX = false
a1.sinks.k1.incrementMetrics.4XX = true
a1.sinks.k1.backoff.200 = false
a1.sinks.k1.rollback.200 = false
a1.sinks.k1.incrementMetrics.200 = true

17、Custom Sink

代码语言：javascript
复制
a1.channels = c1
a1.sinks = k1
a1.sinks.k1.type = org.example.MySink
a1.sinks.k1.channel = c1

18、自定义source和sink

参考官网开发者文档：http://flume.apache.org/releases/content/1.9.0/FlumeDeveloperGuide.html

五、flume channel

1、Memory Channel

代码语言：javascript
复制
a1.channels = c1
a1.channels.c1.type = memory
a1.channels.c1.capacity = 10000
a1.channels.c1.transactionCapacity = 10000
a1.channels.c1.byteCapacityBufferPercentage = 20
a1.channels.c1.byteCapacity = 800000

2、JDBC Channel

代码语言：javascript
复制
a1.channels = c1
a1.channels.c1.type = jdbc

3、Kafka Channel

代码语言：javascript
复制
a1.channels.channel1.type = org.apache.flume.channel.kafka.KafkaChannel
a1.channels.channel1.kafka.bootstrap.servers = kafka-1:9092,kafka-2:9092,kafka-3:9092
a1.channels.channel1.kafka.topic = channel1
a1.channels.channel1.kafka.consumer.group.id = flume-consumer

4、TSL Kafka Channel

代码语言：javascript
复制
a1.channels.channel1.type = org.apache.flume.channel.kafka.KafkaChannel
a1.channels.channel1.kafka.bootstrap.servers = kafka-1:9093,kafka-2:9093,kafka-3:9093
a1.channels.channel1.kafka.topic = channel1
a1.channels.channel1.kafka.consumer.group.id = flume-consumer
a1.channels.channel1.kafka.producer.security.protocol = SSL
# optional, the global truststore can be used alternatively
a1.channels.channel1.kafka.producer.ssl.truststore.location = /path/to/truststore.jks
a1.channels.channel1.kafka.producer.ssl.truststore.password = 
a1.channels.channel1.kafka.consumer.security.protocol = SSL
# optional, the global truststore can be used alternatively
a1.channels.channel1.kafka.consumer.ssl.truststore.location = /path/to/truststore.jks
a1.channels.channel1.kafka.consumer.ssl.truststore.password =

5、File Channel

代码语言：javascript
复制
a1.channels = c1
a1.channels.c1.type = file
a1.channels.c1.checkpointDir = /mnt/flume/checkpoint
a1.channels.c1.dataDirs = /mnt/flume/data

6、Spillable Memory Channel

代码语言：javascript
复制
a1.channels = c1
a1.channels.c1.type = SPILLABLEMEMORY
a1.channels.c1.memoryCapacity = 10000
a1.channels.c1.overflowCapacity = 1000000
a1.channels.c1.byteCapacity = 800000
a1.channels.c1.checkpointDir = /mnt/flume/checkpoint
a1.channels.c1.dataDirs = /mnt/flume/data

7、Pseudo Transaction Channel

代码语言：javascript
复制
a1.channels = c1
a1.channels.c1.type = org.example.MyChannel

六、Flume Channel Selector

1、Replicating Channel Selector (default)

代码语言：javascript
复制
a1.sources = r1
a1.channels = c1 c2 c3
a1.sources.r1.selector.type = replicating
a1.sources.r1.channels = c1 c2 c3
a1.sources.r1.selector.optional = c3

2、Multiplexing Channel Selector

代码语言：javascript
复制
a1.sources = r1
a1.channels = c1 c2 c3 c4
a1.sources.r1.selector.type = multiplexing
a1.sources.r1.selector.header = state
a1.sources.r1.selector.mapping.CZ = c1
a1.sources.r1.selector.mapping.US = c2 c3
a1.sources.r1.selector.default = c4

3、Custom Channel Selector

代码语言：javascript
复制
a1.sources = r1
a1.channels = c1
a1.sources.r1.selector.type = org.example.MyChannelSelector

七、Flume Sink Processors

1、Default Sink Processor

代码语言：javascript
复制
a1.sinkgroups = g1
a1.sinkgroups.g1.sinks = k1 k2
a1.sinkgroups.g1.processor.type = load_balance

2、Failover Sink Processor

代码语言：javascript
复制
a1.sinkgroups = g1
a1.sinkgroups.g1.sinks = k1 k2
a1.sinkgroups.g1.processor.type = failover
a1.sinkgroups.g1.processor.priority.k1 = 5
a1.sinkgroups.g1.processor.priority.k2 = 10
a1.sinkgroups.g1.processor.maxpenalty = 10000

3、Load balancing Sink Processor

代码语言：javascript
复制
a1.sinkgroups = g1
a1.sinkgroups.g1.sinks = k1 k2
a1.sinkgroups.g1.processor.type = load_balance
a1.sinkgroups.g1.processor.backoff = true
a1.sinkgroups.g1.processor.selector = random

4、Body Text Serializer

代码语言：javascript
复制
a1.sinks = k1
a1.sinks.k1.type = file_roll
a1.sinks.k1.channel = c1
a1.sinks.k1.sink.directory = /var/log/flume
a1.sinks.k1.sink.serializer = text
a1.sinks.k1.sink.serializer.appendNewline = false

八、Flume Event Serializers

1、Body Text Serializer

代码语言：javascript
复制
a1.sinks = k1
a1.sinks.k1.type = file_roll
a1.sinks.k1.channel = c1
a1.sinks.k1.sink.directory = /var/log/flume
a1.sinks.k1.sink.serializer = text
a1.sinks.k1.sink.serializer.appendNewline = false

2、“Flume Event” Avro Event Serializer

代码语言：javascript
复制
a1.sinks.k1.type = hdfs
a1.sinks.k1.channel = c1
a1.sinks.k1.hdfs.path = /flume/events/%y-%m-%d/%H%M/%S
a1.sinks.k1.serializer = avro_event
a1.sinks.k1.serializer.compressionCodec = snappy

3、Avro Event Serializer

代码语言：javascript
复制
a1.sinks.k1.type = hdfs
a1.sinks.k1.channel = c1
a1.sinks.k1.hdfs.path = /flume/events/%y-%m-%d/%H%M/%S
a1.sinks.k1.serializer = org.apache.flume.sink.hdfs.AvroEventSerializer$Builder
a1.sinks.k1.serializer.compressionCodec = snappy
a1.sinks.k1.serializer.schemaURL = hdfs://namenode/path/to/schema.avsc

九、Flume Interceptors

1、default interceptor

代码语言：javascript
复制
a1.sources = r1
a1.sinks = k1
a1.channels = c1
a1.sources.r1.interceptors = i1 i2
a1.sources.r1.interceptors.i1.type = org.apache.flume.interceptor.HostInterceptor$Builder
a1.sources.r1.interceptors.i1.preserveExisting = false
a1.sources.r1.interceptors.i1.hostHeader = hostname
a1.sources.r1.interceptors.i2.type = org.apache.flume.interceptor.TimestampInterceptor$Builder
a1.sinks.k1.filePrefix = FlumeData.%{CollectorHost}.%Y-%m-%d
a1.sinks.k1.channel = c1

2、Timestamp Interceptor

代码语言：javascript
复制
a1.sources = r1
a1.channels = c1
a1.sources.r1.channels =  c1
a1.sources.r1.type = seq
a1.sources.r1.interceptors = i1
a1.sources.r1.interceptors.i1.type = timestamp

3、Host Interceptor

代码语言：javascript
复制
a1.sources = r1
a1.channels = c1
a1.sources.r1.interceptors = i1
a1.sources.r1.interceptors.i1.type = host

4、Static Interceptor

代码语言：javascript
复制
a1.sources = r1
a1.channels = c1
a1.sources.r1.channels =  c1
a1.sources.r1.type = seq
a1.sources.r1.interceptors = i1
a1.sources.r1.interceptors.i1.type = static
a1.sources.r1.interceptors.i1.key = datacenter
a1.sources.r1.interceptors.i1.value = NEW_YORK

5、Remove Header Interceptor

6、UUID Interceptor

7、Morphline Interceptor

代码语言：javascript
复制
a1.sources.avroSrc.interceptors = morphlineinterceptor
a1.sources.avroSrc.interceptors.morphlineinterceptor.type = org.apache.flume.sink.solr.morphline.MorphlineInterceptor$Builder
a1.sources.avroSrc.interceptors.morphlineinterceptor.morphlineFile = /etc/flume-ng/conf/morphline.conf
a1.sources.avroSrc.interceptors.morphlineinterceptor.morphlineId = morphline1

8、Search and Replace Interceptor

代码语言：javascript
复制
a1.sources.avroSrc.interceptors = search-replace
a1.sources.avroSrc.interceptors.search-replace.type = search_replace

# Remove leading alphanumeric characters in an event body.
a1.sources.avroSrc.interceptors.search-replace.searchPattern = ^[A-Za-z0-9_]+
a1.sources.avroSrc.interceptors.search-replace.replaceString =
代码语言：javascript
复制
a1.sources.avroSrc.interceptors = search-replace
a1.sources.avroSrc.interceptors.search-replace.type = search_replace

# Use grouping operators to reorder and munge words on a line.
a1.sources.avroSrc.interceptors.search-replace.searchPattern = The quick brown ([a-z]+) jumped over the lazy ([a-z]+)
a1.sources.avroSrc.interceptors.search-replace.replaceString = The hungry $2 ate the careless $1

9、Regex Filtering Interceptor

10、Regex Extractor Interceptor

代码语言：javascript
复制
a1.sources.r1.interceptors.i1.regex = (\\d):(\\d):(\\d)
a1.sources.r1.interceptors.i1.serializers = s1 s2 s3
a1.sources.r1.interceptors.i1.serializers.s1.name = one
a1.sources.r1.interceptors.i1.serializers.s2.name = two
a1.sources.r1.interceptors.i1.serializers.s3.name = three
代码语言：javascript
复制
a1.sources.r1.interceptors.i1.regex = ^(?:\\n)?(\\d\\d\\d\\d-\\d\\d-\\d\\d\\s\\d\\d:\\d\\d)
a1.sources.r1.interceptors.i1.serializers = s1
a1.sources.r1.interceptors.i1.serializers.s1.type = org.apache.flume.interceptor.RegexExtractorInterceptorMillisSerializer
a1.sources.r1.interceptors.i1.serializers.s1.name = timestamp
a1.sources.r1.interceptors.i1.serializers.s1.pattern = yyyy-MM-dd HH:mm

十、Flume Properties

1、Environment Variable Config Filter

代码语言：javascript
复制
a1.sources = r1
a1.channels = c1
a1.configfilters = f1

a1.configfilters.f1.type = env

a1.sources.r1.channels =  c1
a1.sources.r1.type = http
a1.sources.r1.keystorePassword = ${f1['my_keystore_password']} #will get the value Secret123

2、External Process Config Filter

代码语言：javascript
复制
a1.sources = r1
a1.channels = c1
a1.configfilters = f1

a1.configfilters.f1.type = external
a1.configfilters.f1.command = /usr/bin/passwordResolver.sh
a1.configfilters.f1.charset = UTF-8

a1.sources.r1.channels =  c1
a1.sources.r1.type = http
a1.sources.r1.keystorePassword = ${f1['my_keystore_password']} #will get the value Secret123
代码语言：javascript
复制
a1.sources = r1
a1.channels = c1
a1.configfilters = f1

a1.configfilters.f1.type = external
a1.configfilters.f1.command = /usr/bin/generateUniqId.sh
a1.configfilters.f1.charset = UTF-8

a1.sinks = k1
a1.sinks.k1.type = file_roll
a1.sinks.k1.channel = c1
a1.sinks.k1.sink.directory = /var/log/flume/agent_${f1['agent_name']} # will be /var/log/flume/agent_1234

3、Hadoop Credential Store Config Filter

代码语言：javascript
复制
a1.sources = r1
a1.channels = c1
a1.configfilters = f1

a1.configfilters.f1.type = hadoop
a1.configfilters.f1.credential.provider.path = jceks://file/

a1.sources.r1.channels =  c1
a1.sources.r1.type = http
a1.sources.r1.keystorePassword = ${f1['my_keystore_password']} #will get the value from the credential store

4、Log4J Appender

代码语言：javascript
复制
log4j.appender.flume = org.apache.flume.clients.log4jappender.Log4jAppender
log4j.appender.flume.Hostname = example.com
log4j.appender.flume.Port = 41414
log4j.appender.flume.UnsafeMode = true

# configure a class's logger to output to the flume appender
log4j.logger.org.example.MyClass = DEBUG,flume
代码语言：javascript
复制
log4j.appender.flume = org.apache.flume.clients.log4jappender.Log4jAppender
log4j.appender.flume.Hostname = example.com
log4j.appender.flume.Port = 41414
log4j.appender.flume.AvroReflectionEnabled = true
log4j.appender.flume.AvroSchemaUrl = hdfs://namenode/path/to/schema.avsc

# configure a class's logger to output to the flume appender
log4j.logger.org.example.MyClass = DEBUG,flume

5、Load Balancing Log4J Appender

代码语言：javascript
复制
log4j.appender.out2 = org.apache.flume.clients.log4jappender.LoadBalancingLog4jAppender
log4j.appender.out2.Hosts = localhost:25430 localhost:25431

# configure a class's logger to output to the flume appender
log4j.logger.org.example.MyClass = DEBUG,flume
代码语言：javascript
复制
log4j.appender.out2 = org.apache.flume.clients.log4jappender.LoadBalancingLog4jAppender
log4j.appender.out2.Hosts = localhost:25430 localhost:25431
log4j.appender.out2.Selector = RANDOM

# configure a class's logger to output to the flume appender
log4j.logger.org.example.MyClass = DEBUG,flume
代码语言：javascript
复制
log4j.appender.out2 = org.apache.flume.clients.log4jappender.LoadBalancingLog4jAppender
log4j.appender.out2.Hosts = localhost:25430 localhost:25431 localhost:25432
log4j.appender.out2.Selector = ROUND_ROBIN
log4j.appender.out2.MaxBackoff = 30000

# configure a class's logger to output to the flume appender
log4j.logger.org.example.MyClass = DEBUG,flume
本文参与 腾讯云自媒体同步曝光计划，分享自作者个人站点/博客。
原始发表：2020/10/31 ，如有侵权请联系 cloudcommunity@tencent.com 删除
kafka
java
html
hbase
linux

本文分享自 作者个人站点/博客 前往查看

如有侵权，请联系 cloudcommunity@tencent.com 删除。

本文参与 腾讯云自媒体同步曝光计划  ，欢迎热爱写作的你一起参与！

kafka
java
html
hbase
linux
评论
登录后参与评论
0 条评论
热度
最新
登录 后参与评论
推荐阅读
LV.
文章
0
获赞
0
目录
  • 一、环境准备
    • 1、安装包下载
      • 2、安装flume
        • 3、修改配置文件
        •  二、配置环境变量
          • 1、配置java环境变量
            • 2、配置flume环境变量
            • 三、flume source
              • 1、netcat source
                • 2、avro source
                  • 3、exec source
                    • 4、spooldir Source
                      • 5、thrift source
                        • 6、JMS Source
                          • 7、Kafka Source
                            • 8、NetCat TCP Source
                              • 9、NetCat UDP Source
                                • 9、Sequence Generator Source
                                  • 10、Syslog TCP Source
                                    • 11、Multiport Syslog TCP Source
                                      • 12、Syslog UDP Source
                                        • 13、HTTP Source
                                          • 14、Stress Source
                                            • 15、Avro Legacy Source
                                              • 16、Thrift Legacy Source
                                                • 17、Custom Source
                                                  • 18、Scribe Source
                                                  •  四、flume sink
                                                    • 1、hdfs sink
                                                      • 2、hive sink
                                                        • 3、logger sink
                                                          • 4、avro sink
                                                            • 5、Thrift Sink
                                                              • 6、IRC Sink
                                                                • 7、File Roll Sink
                                                                  • 8、Null Sink
                                                                    • 9、HBase1Sink
                                                                      • 10、HBase2Sink
                                                                        • 10、AsyncHBaseSink
                                                                          • 11、MorphlineSolrSink
                                                                            • 12、ElasticSearchSink
                                                                              • 13、Kite Dataset Sink
                                                                                • 14、Kafka Sink
                                                                                  • 15、TSL Kafka Sink
                                                                                    • 16、HTTP Sink
                                                                                      • 17、Custom Sink
                                                                                        • 18、自定义source和sink
                                                                                        • 五、flume channel
                                                                                          • 1、Memory Channel
                                                                                            • 2、JDBC Channel
                                                                                              • 3、Kafka Channel
                                                                                                • 4、TSL Kafka Channel
                                                                                                  • 5、File Channel
                                                                                                    • 6、Spillable Memory Channel
                                                                                                      • 7、Pseudo Transaction Channel
                                                                                                      • 六、Flume Channel Selector
                                                                                                        • 1、Replicating Channel Selector (default)
                                                                                                          • 2、Multiplexing Channel Selector
                                                                                                            • 3、Custom Channel Selector
                                                                                                            • 七、Flume Sink Processors
                                                                                                              • 1、Default Sink Processor
                                                                                                                • 2、Failover Sink Processor
                                                                                                                  • 3、Load balancing Sink Processor
                                                                                                                    • 4、Body Text Serializer
                                                                                                                    • 八、Flume Event Serializers
                                                                                                                      • 1、Body Text Serializer
                                                                                                                        • 2、“Flume Event” Avro Event Serializer
                                                                                                                          • 3、Avro Event Serializer
                                                                                                                          • 九、Flume Interceptors
                                                                                                                            • 1、default interceptor
                                                                                                                              • 2、Timestamp Interceptor
                                                                                                                                • 3、Host Interceptor
                                                                                                                                  • 4、Static Interceptor
                                                                                                                                    • 5、Remove Header Interceptor
                                                                                                                                      • 6、UUID Interceptor
                                                                                                                                        • 7、Morphline Interceptor
                                                                                                                                          • 8、Search and Replace Interceptor
                                                                                                                                            • 9、Regex Filtering Interceptor
                                                                                                                                              • 10、Regex Extractor Interceptor
                                                                                                                                              • 十、Flume Properties
                                                                                                                                                • 1、Environment Variable Config Filter
                                                                                                                                                  • 2、External Process Config Filter
                                                                                                                                                    • 3、Hadoop Credential Store Config Filter
                                                                                                                                                      • 4、Log4J Appender
                                                                                                                                                        • 5、Load Balancing Log4J Appender
                                                                                                                                                        相关产品与服务
                                                                                                                                                        Elasticsearch Service
                                                                                                                                                        腾讯云 Elasticsearch Service（ES）是云端全托管海量数据检索分析服务，拥有高性能自研内核，集成X-Pack。ES 支持通过自治索引、存算分离、集群巡检等特性轻松管理集群，也支持免运维、自动弹性、按需使用的 Serverless 模式。使用 ES 您可以高效构建信息检索、日志分析、运维监控等服务，它独特的向量检索还可助您构建基于语义、图像的AI深度应用。
                                                                                                                                                        免费体验产品介绍产品文档
                                                                                                                                                        ES特惠专场，首月1折秒杀，新客首购7折起！
                                                                                                                                                        领券

                                                                                                                                                        腾讯云开发者

                                                                                                                                                        扫码关注腾讯云开发者

                                                                                                                                                        扫码关注腾讯云开发者

                                                                                                                                                        领取腾讯云代金券

                                                                                                                                                        热门产品

                                                                                                                                                        热门推荐

                                                                                                                                                        更多推荐

                                                                                                                                                        Copyright © 2013 - 2024 Tencent Cloud. All Rights Reserved. 腾讯云 版权所有 

                                                                                                                                                        深圳市腾讯计算机系统有限公司 ICP备案/许可证号：粤B2-20090059 深公网安备号 44030502008569

                                                                                                                                                        腾讯云计算（北京）有限责任公司 京ICP证150476号 |  京ICP备11018762号 | 京公网安备号11010802020287

                                                                                                                                                        问题归档专栏文章快讯文章归档关键词归档开发者手册归档开发者手册 Section 归档

                                                                                                                                                        Copyright © 2013 - 2024 Tencent Cloud.

                                                                                                                                                        All Rights Reserved. 腾讯云 版权所有

                                                                                                                                                        登录 后参与评论