• Kafka管理工具介绍


    Kafka内部提供了许多管理脚本,这些脚本都放在$KAFKA_HOME/bin目录下,而这些类的实现都是放在源码的kafka/core/src/main/scala/kafka/tools/路径下。

    Consumer Offset Checker

      Consumer Offset Checker主要是运行kafka.tools.ConsumerOffsetChecker类,对应的脚本是kafka-consumer-offset-checker.sh,会显示出Consumer的Group、Topic、分区ID、分区对应已经消费的Offset、logSize大小,Lag以及Owner等信息。

    如果运行kafka-consumer-offset-checker.sh脚本的时候什么信息都不输入,那么会显示以下信息:

    [iteblog@www.iteblog.com /]$ bin/kafka-consumer-offset-checker.sh
    Check the offset of your consumers.
    Option                                  Description                            
    ------                                  -----------                            
    --broker-info                           Print broker info                      
    --group                                 Consumer group.                        
    --help                                  Print this message.                    
    --retry.backoff.ms <Integer>            Retry back-off to use for failed       
                                              offset queries. (default: 3000)      
    --socket.timeout.ms <Integer>           Socket timeout to use when querying    
                                              for offsets. (default: 6000)         
    --topic                                 Comma-separated list of consumer       
                                              topics (all topics if absent).       
    --zookeeper                             ZooKeeper connect string. (default:    
                                              localhost:2181)
    

    我们根据提示,输入的命令如下:

    [iteblog@www.iteblog.com /]$ bin/kafka-consumer-offset-checker.sh --zookeeper www.iteblog.com:2181 --topic test --group spark --broker-info
    Group           Topic      Pid Offset          logSize         Lag             Owner
    spark    test       0   34666914        34674392        7478            none
    spark    test       1   34670481        34678029        7548            none
    spark    test       2   34670547        34678002        7455            none
    spark    test       3   34664512        34671961        7449            none
    spark    test       4   34680143        34687562        7419            none
    spark    test       5   34672309        34679823        7514            none
    spark    test       6   34674660        34682220        7560            none
    BROKER INFO
    2 -> www.iteblog.com:9092
    5 -> www.iteblog.com:9093
    4 -> www.iteblog.com:9094
    7 -> www.iteblog.com:9095
    1 -> www.iteblog.com:9096
    3 -> www.iteblog.com:9097
    6 -> www.iteblog.com:9098
    

    Dump Log Segment

      有时候我们需要验证日志索引是否正确,或者仅仅想从log文件中直接打印消息,我们可以使用kafka.tools.DumpLogSegments类来实现,先来看看它需要的参数:

    [iteblog@www.iteblog.com /]$ bin/kafka-run-class.sh kafka.tools.DumpLogSegments 
    Parse a log file and dump its contents to the console, useful for debugging a seemingly corrupt log segment.
    Option                                  Description                            
    ------                                  -----------                            
    --deep-iteration                        if set, uses deep instead of shallow   
                                              iteration                            
    --files <file1, file2, ...>             REQUIRED: The comma separated list of  
                                              data and index log files to be dumped
    --key-decoder-class                     if set, used to deserialize the keys.  
                                              This class should implement kafka.   
                                              serializer.Decoder trait. Custom jar 
                                              should be available in kafka/libs    
                                              directory. (default: kafka.          
                                              serializer.StringDecoder)            
    --max-message-size <Integer: size>      Size of largest message. (default:     
                                              5242880)                             
    --print-data-log                        if set, printing the messages content  
                                              when dumping data logs               
    --value-decoder-class                   if set, used to deserialize the        
                                              messages. This class should          
                                              implement kafka.serializer.Decoder   
                                              trait. Custom jar should be          
                                              available in kafka/libs directory.   
                                              (default: kafka.serializer.          
                                              StringDecoder)                       
    --verify-index-only                     if set, just verify the index log      
                                              without printing its content
    

      很明显,我们在使用kafka.tools.DumpLogSegments的时候必须输入--files,这个参数指的就是Kafka中Topic分区所在的绝对路径。分区所在的目录由config/server.properties文件中log.dirs参数决定。比如我们想看/home/q/kafka/kafka_2.10-0.8.2.1/data/test-4/00000000000034245135.log日志文件的相关情况可以 使用下面的命令:

    [iteblog@www.iteblog.com /]$ bin/kafka-run-class.sh kafka.tools.DumpLogSegments --files /iteblog/data/test-4/00000000000034245135.log
    Dumping /home/q/kafka/kafka_2.10-0.8.2.1/data/test-4/00000000000034245135.log
    Starting offset: 34245135
    offset: 34245135 position: 0 isvalid: true payloadsize: 4213 magic: 0 compresscodec: NoCompressionCodec crc: 865449274 keysize: 4213
    offset: 34245136 position: 8452 isvalid: true payloadsize: 4657 magic: 0 compresscodec: NoCompressionCodec crc: 4123037760 keysize: 4657
    offset: 34245137 position: 17792 isvalid: true payloadsize: 3921 magic: 0 compresscodec: NoCompressionCodec crc: 541297511 keysize: 3921
    offset: 34245138 position: 25660 isvalid: true payloadsize: 2290 magic: 0 compresscodec: NoCompressionCodec crc: 1346104996 keysize: 2290
    offset: 34245139 position: 30266 isvalid: true payloadsize: 2284 magic: 0 compresscodec: NoCompressionCodec crc: 1930558677 keysize: 2284
    offset: 34245140 position: 34860 isvalid: true payloadsize: 268 magic: 0 compresscodec: NoCompressionCodec crc: 57847488 keysize: 268
    offset: 34245141 position: 35422 isvalid: true payloadsize: 263 magic: 0 compresscodec: NoCompressionCodec crc: 2964399224 keysize: 263
    offset: 34245142 position: 35974 isvalid: true payloadsize: 1875 magic: 0 compresscodec: NoCompressionCodec crc: 647039113 keysize: 1875
    offset: 34245143 position: 39750 isvalid: true payloadsize: 648 magic: 0 compresscodec: NoCompressionCodec crc: 865445580 keysize: 648
    offset: 34245144 position: 41072 isvalid: true payloadsize: 556 magic: 0 compresscodec: NoCompressionCodec crc: 1174686061 keysize: 556
    offset: 34245145 position: 42210 isvalid: true payloadsize: 4211 magic: 0 compresscodec: NoCompressionCodec crc: 3691302513 keysize: 4211
    offset: 34245146 position: 50658 isvalid: true payloadsize: 2299 magic: 0 compresscodec: NoCompressionCodec crc: 2367114411 keysize: 2299
    offset: 34245147 position: 55282 isvalid: true payloadsize: 642 magic: 0 compresscodec: NoCompressionCodec crc: 4122061921 keysize: 642
    offset: 34245148 position: 56592 isvalid: true payloadsize: 4211 magic: 0 compresscodec: NoCompressionCodec crc: 3257991653 keysize: 4211
    offset: 34245149 position: 65040 isvalid: true payloadsize: 2278 magic: 0 compresscodec: NoCompressionCodec crc: 2103489307 keysize: 2278
    offset: 34245150 position: 69622 isvalid: true payloadsize: 269 magic: 0 compresscodec: NoCompressionCodec crc: 792857391 keysize: 269
    offset: 34245151 position: 70186 isvalid: true payloadsize: 640 magic: 0 compresscodec: NoCompressionCodec crc: 791599616 keysize: 640
    

    可以看出,这个命令将Kafka中Message中Header的相关信息和偏移量都显示出来了,但是没有看到日志的内容,我们可以通过--print-data-log来设置。如果需要查看多个日志文件,可以以逗号分割。

    导出Zookeeper中Group相关的偏移量

      有时候我们需要导出某个Consumer group各个分区的偏移量,我们可以通过使用Kafka的kafka.tools.ExportZkOffsets类来满足。来看看这个类需要的参数:

    [iteblog@www.iteblog.com /]$ bin/kafka-run-class.sh kafka.tools.ExportZkOffsets
    Export consumer offsets to an output file.
    Option                                  Description                            
    ------                                  -----------                            
    --group                                 Consumer group.                        
    --help                                  Print this message.                    
    --output-file                           Output file                            
    --zkconnect                             ZooKeeper connect string. (default:    
                                              localhost:2181)
    

    我们需要输入Consumer group,Zookeeper的地址以及保存文件路径:

    [iteblog@www.iteblog.com /]$ bin/kafka-run-class.sh kafka.tools.ExportZkOffsets --group spark --zkconnect www.iteblog.com:2181 --output-file ~/offset
    
    [iteblog@www.iteblog.com /]$ vim ~/offset 
    /consumers/spark/offsets/test/3:34846274
    /consumers/spark/offsets/test/2:34852378
    /consumers/spark/offsets/test/1:34852360
    /consumers/spark/offsets/test/0:34848170
    /consumers/spark/offsets/test/6:34857010
    /consumers/spark/offsets/test/5:34854268
    /consumers/spark/offsets/test/4:34861572
    

    注意,--output-file参数必须在指定,否则会出错。

    通过JMX获取metrics信息

      我们可以通过kafka.tools.JmxTool类打印出Kafka相关的metrics信息。

    [iteblog@www.iteblog.com /]$ bin/kafka-run-class.sh kafka.tools.JmxTool
    Dump JMX values to standard output.
    Option                                  Description                            
    ------                                  -----------                            
    --attributes <name>                     The whitelist of attributes to query.  
                                              This is a comma-separated list. If   
                                              no attributes are specified all      
                                              objects will be queried.             
    --date-format <format>                  The date format to use for formatting  
                                              the time field. See java.text.       
                                              SimpleDateFormat for options.        
    --help                                  Print usage information.               
    --jmx-url <service-url>                 The url to connect to to poll JMX      
                                              data. See Oracle javadoc for         
                                              JMXServiceURL for details. (default: 
                                              service:jmx:rmi:///jndi/rmi://:      
                                              9999/jmxrmi)                         
    --object-name <name>                    A JMX object name to use as a query.   
                                              This can contain wild cards, and     
                                              this option can be given multiple    
                                              times to specify more than one       
                                              query. If no objects are specified   
                                              all objects will be queried.         
    --reporting-interval <Integer: ms>      Interval in MS with which to poll jmx  
                                              stats. (default: 2000) 
    

    可以这么使用

    [iteblog@www.iteblog.com /]$ bin/kafka-run-class.sh kafka.tools.JmxTool --jmx-url service:jmx:rmi:///jndi/rmi://www.iteblog.com:1099/jmxrmi
    

    运行上面命令前提是在启动kafka集群的时候指定export JMX_PORT= ,这样才会开启JMX。然后就可以通过上面命令打印出Kafka所有的metrics信息。

    Kafka数据迁移工具

      这个工具主要有两个:kafka.tools.KafkaMigrationToolkafka.tools.MirrorMaker。第一个主要是用于将Kafka 0.7上面的数据迁移到Kafka 0.8(https://cwiki.apache.org/confluence/display/KAFKA/Migrating+from+0.7+to+0.8);而后者可以同步两个Kafka集群的数据(https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=27846330)。都是从原端消费Messages,然后发布到目标端。

    [iteblog@www.iteblog.com /]$ bin/kafka-run-class.sh kafka.tools.KafkaMigrationTool --kafka.07.jar kafka-0.7.19.jar --zkclient.01.jar zkclient-0.2.0.jar --num.producers 16 --consumer.config=sourceCluster2Consumer.config --producer.config=targetClusterProducer.config --whitelist=.*
    
    [iteblog@www.iteblog.com /]$ bin/kafka-run-class.sh kafka.tools.MirrorMaker --consumer.config sourceCluster1Consumer.config --consumer.config sourceCluster2Consumer.config --num.streams 2 --producer.config targetClusterProducer.config --whitelist=".*"
    

    日志重放工具

      这个工具主要作用是从一个Kafka集群里面读取指定Topic的消息,并将这些消息发送到其他集群的指定topic中:

    [iteblog@www.iteblog.com /]$ bin/kafka-replay-log-producer.sh 
    Missing required argument "[broker-list]"
    Option                                  Description                            
    ------                                  -----------                            
    --broker-list <hostname:port>           REQUIRED: the broker list must be      
                                              specified.                           
    --inputtopic <input-topic>              REQUIRED: The topic to consume from.   
    --messages <Integer: count>             The number of messages to send.        
                                              (default: -1)                        
    --outputtopic <output-topic>            REQUIRED: The topic to produce to      
    --property <producer properties>        A mechanism to pass properties in the  
                                              form key=value to the producer. This 
                                              allows the user to override producer 
                                              properties that are not exposed by   
                                              the existing command line arguments  
    --reporting-interval <Integer: size>    Interval at which to print progress    
                                              info. (default: 5000)                
    --sync                                  If set message send requests to the    
                                              brokers are synchronously, one at a  
                                              time as they arrive.                 
    --threads <Integer: threads>            Number of sending threads. (default: 1)
    --zookeeper <zookeeper url>             REQUIRED: The connection string for    
                                              the zookeeper connection in the form 
                                              host:port. Multiple URLS can be      
                                              given to allow fail-over. (default:  
                                              127.0.0.1:2181)
    
    

    Simple Consume脚本

      kafka-simple-consumer-shell.sh工具主要是使用Simple Consumer API从指定Topic的分区读取数据并打印在终端:

    bin/kafka-simple-consumer-shell.sh --broker-list www.iteblog.com:9092 --topic test --partition 0
    

    更新Zookeeper中的偏移量

      kafka.tools.UpdateOffsetsInZK工具可以更新Zookeeper中指定Topic所有分区的偏移量,可以指定成 earliest或者latest:

    [iteblog@www.iteblog.com /]$ bin/kafka-run-class.sh kafka.tools.UpdateOffsetsInZK
    USAGE: kafka.tools.UpdateOffsetsInZK$ [earliest | latest] consumer.properties topic
    

    需要指定是更新成earliest或者latest,consumer.properties文件的路径以及topic的名称

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  • 原文地址:https://www.cnblogs.com/heidsoft/p/7697905.html
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