kafka源码在idea运行并断点调试

半兽人 发表于: 2017-09-01   最后更新时间: 2017-09-05  
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kafka源码引入idea运行并断点调试

首先,安装好scala,和编译工具gradle。

我用的是interllij ideal进行的代码调试。通过上一章的编译没问题之后,那么我们开始正式的入门调试。

首先,通过idea的方式,启动kafka。

启动服务

找到bin/中找到kafka-server-start.sh,直接右键运行。

screenshot

报错

/bin/bash /Users/weiwei/workspace/project/open/kafka/bin/kafka-server-start.sh
USAGE: /Users/weiwei/workspace/project/open/kafka/bin/kafka-server-start.sh [-daemon] server.properties [--override property=value]*

Process finished with exit code 1

很明显,没有设置配置文件,加上,我的目录在这里

screenshot

/bin/bash /Users/xxx/workspace/project/open/kafka/bin/kafka-server-start.sh /Users/weiwei/workspace/project/open/kafka/config/server.properties
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
[2017-09-05 16:34:29,311] INFO KafkaConfig values: 
    advertised.host.name = null
    advertised.listeners = null
    advertised.port = null
    alter.config.policy.class.name = null
    authorizer.class.name = 
    auto.create.topics.enable = true
    auto.leader.rebalance.enable = true
    background.threads = 10
    broker.id = 0
    broker.id.generation.enable = true
    broker.rack = null
    compression.type = producer
    connections.max.idle.ms = 600000
    controlled.shutdown.enable = true
    controlled.shutdown.max.retries = 3
    controlled.shutdown.retry.backoff.ms = 5000
    controller.socket.timeout.ms = 30000
    create.topic.policy.class.name = null
    default.replication.factor = 1
    delete.records.purgatory.purge.interval.requests = 1
    delete.topic.enable = true
    fetch.purgatory.purge.interval.requests = 1000
    group.initial.rebalance.delay.ms = 0
    group.max.session.timeout.ms = 300000
    group.min.session.timeout.ms = 6000
    host.name = 
    inter.broker.listener.name = null
    inter.broker.protocol.version = 1.0-IV0
    leader.imbalance.check.interval.seconds = 300
    leader.imbalance.per.broker.percentage = 10
    listener.security.protocol.map = SSL:SSL,SASL_PLAINTEXT:SASL_PLAINTEXT,TRACE:TRACE,SASL_SSL:SASL_SSL,PLAINTEXT:PLAINTEXT
    listeners = null
    log.cleaner.backoff.ms = 15000
    log.cleaner.dedupe.buffer.size = 134217728
    log.cleaner.delete.retention.ms = 86400000
    log.cleaner.enable = true
    log.cleaner.io.buffer.load.factor = 0.9
    log.cleaner.io.buffer.size = 524288
    log.cleaner.io.max.bytes.per.second = 1.7976931348623157E308
    log.cleaner.min.cleanable.ratio = 0.5
    log.cleaner.min.compaction.lag.ms = 0
    log.cleaner.threads = 1
    log.cleanup.policy = [delete]
    log.dir = /tmp/kafka-logs
    log.dirs = /tmp/kafka-logs
    log.flush.interval.messages = 9223372036854775807
    log.flush.interval.ms = null
    log.flush.offset.checkpoint.interval.ms = 60000
    log.flush.scheduler.interval.ms = 9223372036854775807
    log.flush.start.offset.checkpoint.interval.ms = 60000
    log.index.interval.bytes = 4096
    log.index.size.max.bytes = 10485760
    log.message.format.version = 1.0-IV0
    log.message.timestamp.difference.max.ms = 9223372036854775807
    log.message.timestamp.type = CreateTime
    log.preallocate = false
    log.retention.bytes = -1
    log.retention.check.interval.ms = 300000
    log.retention.hours = 168
    log.retention.minutes = null
    log.retention.ms = null
    log.roll.hours = 168
    log.roll.jitter.hours = 0
    log.roll.jitter.ms = null
    log.roll.ms = null
    log.segment.bytes = 1073741824
    log.segment.delete.delay.ms = 60000
    max.connections.per.ip = 2147483647
    max.connections.per.ip.overrides = 
    message.max.bytes = 1000012
    metric.reporters = []
    metrics.num.samples = 2
    metrics.recording.level = INFO
    metrics.sample.window.ms = 30000
    min.insync.replicas = 1
    num.io.threads = 8
    num.network.threads = 3
    num.partitions = 1
    num.recovery.threads.per.data.dir = 1
    num.replica.fetchers = 1
    offset.metadata.max.bytes = 4096
    offsets.commit.required.acks = -1
    offsets.commit.timeout.ms = 5000
    offsets.load.buffer.size = 5242880
    offsets.retention.check.interval.ms = 600000
    offsets.retention.minutes = 1440
    offsets.topic.compression.codec = 0
    offsets.topic.num.partitions = 50
    offsets.topic.replication.factor = 1
    offsets.topic.segment.bytes = 104857600
    port = 9092
    principal.builder.class = class org.apache.kafka.common.security.auth.DefaultPrincipalBuilder
    producer.purgatory.purge.interval.requests = 1000
    queued.max.request.bytes = -1
    queued.max.requests = 500
    quota.consumer.default = 9223372036854775807
    quota.producer.default = 9223372036854775807
    quota.window.num = 11
    quota.window.size.seconds = 1
    replica.fetch.backoff.ms = 1000
    replica.fetch.max.bytes = 1048576
    replica.fetch.min.bytes = 1
    replica.fetch.response.max.bytes = 10485760
    replica.fetch.wait.max.ms = 500
    replica.high.watermark.checkpoint.interval.ms = 5000
    replica.lag.time.max.ms = 10000
    replica.socket.receive.buffer.bytes = 65536
    replica.socket.timeout.ms = 30000
    replication.quota.window.num = 11
    replication.quota.window.size.seconds = 1
    request.timeout.ms = 30000
    reserved.broker.max.id = 1000
    sasl.enabled.mechanisms = [GSSAPI]
    sasl.kerberos.kinit.cmd = /usr/bin/kinit
    sasl.kerberos.min.time.before.relogin = 60000
    sasl.kerberos.principal.to.local.rules = [DEFAULT]
    sasl.kerberos.service.name = null
    sasl.kerberos.ticket.renew.jitter = 0.05
    sasl.kerberos.ticket.renew.window.factor = 0.8
    sasl.mechanism.inter.broker.protocol = GSSAPI
    security.inter.broker.protocol = PLAINTEXT
    socket.receive.buffer.bytes = 102400
    socket.request.max.bytes = 104857600
    socket.send.buffer.bytes = 102400
    ssl.cipher.suites = null
    ssl.client.auth = none
    ssl.enabled.protocols = [TLSv1.2, TLSv1.1, TLSv1]
    ssl.endpoint.identification.algorithm = null
    ssl.key.password = null
    ssl.keymanager.algorithm = SunX509
    ssl.keystore.location = null
    ssl.keystore.password = null
    ssl.keystore.type = JKS
    ssl.protocol = TLS
    ssl.provider = null
    ssl.secure.random.implementation = null
    ssl.trustmanager.algorithm = PKIX
    ssl.truststore.location = null
    ssl.truststore.password = null
    ssl.truststore.type = JKS
    transaction.abort.timed.out.transaction.cleanup.interval.ms = 60000
    transaction.max.timeout.ms = 900000
    transaction.remove.expired.transaction.cleanup.interval.ms = 3600000
    transaction.state.log.load.buffer.size = 5242880
    transaction.state.log.min.isr = 1
    transaction.state.log.num.partitions = 50
    transaction.state.log.replication.factor = 1
    transaction.state.log.segment.bytes = 104857600
    transactional.id.expiration.ms = 604800000
    unclean.leader.election.enable = false
    zookeeper.connect = localhost:2181
    zookeeper.connection.timeout.ms = 6000
    zookeeper.session.timeout.ms = 6000
    zookeeper.set.acl = false
    zookeeper.sync.time.ms = 2000
 (kafka.server.KafkaConfig)


。。。。省 太多了


[2017-09-05 16:34:30,741] INFO [ReplicaFetcherManager on broker 0] Removed fetcher for partitions test-0 (kafka.server.ReplicaFetcherManager)
[2017-09-05 16:34:30,749] INFO Replica loaded for partition test-0 with initial high watermark 1 (kafka.cluster.Replica)
[2017-09-05 16:34:30,750] INFO Partition [test,0] on broker 0: test-0 starts at Leader Epoch 1 from offset 1. Previous Leader Epoch was: -1 (kafka.cluster.Partition)
[2017-09-05 16:34:30,766] INFO [ReplicaFetcherManager on broker 0] Removed fetcher for partitions test-0 (kafka.server.ReplicaFetcherManager)
[2017-09-05 16:34:30,766] INFO Partition [test,0] on broker 0: test-0 starts at Leader Epoch 2 from offset 1. Previous Leader Epoch was: 1 (kafka.cluster.Partition)

启动成功。

运行生产者

同样,bin目录下,找到kafka-console-producer.sh。运行

screenshot

发起生产。

运行消费者

bin目录下,找到kafka-console-consumer.sh。运行

参数中填写“--bootstrap-server localhost:9092 --topic test --new-consumer --from-beginning
然后即可消费到刚刚生产者发送的所有消息。







发表于: 10月前   最后更新时间: 10月前   游览量:1153
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  • 楼主,我按照你说的操作,但是报错找不到类呀。。。:错误: 找不到或无法加载主类 kafka.Kafka 这个我该怎么解决呢? 我用gradlew编译过一次了。。
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