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filebeat输出到kafka

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1. kafka

1.1 安装

  • kafka_2.13-2.8.0.tgz , 前面的版本号是编译 Kafka 源代码的 Scala 编译器版本, 真正的版本号是2.8.0
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wget https://mirrors.bfsu.edu.cn/apache/kafka/2.8.0/kafka_2.13-2.8.0.tgz
tar -xzf kafka_2.13-2.8.0.tgz 
cd kafka_2.13-2.8.0
  • 启动
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# 一个终端
bin/zookeeper-server-start.sh config/zookeeper.properties

# 另外一个终端
bin/kafka-server-start.sh config/server.properties

  • 安装 java

    报错: /root/kafka_2.13-2.8.0/bin/kafka-run-class.sh: line 330: exec: java: not found
    Your local environment must have Java 8+ installed.

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apt install openjdk-11-jre-headless
java --version

1.2 systemctl 服务

https://gist.github.com/vipmax/9ceeaa02932ba276fa810c923dbcbd4f

vi /etc/systemd/system/kafka-zookeeper.service

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[Unit]
Description=Apache Zookeeper server (Kafka)
Documentation=http://zookeeper.apache.org
Requires=network.target remote-fs.target
After=network.target remote-fs.target
[Service]
Type=simple
ExecStart=/data/tools/kafka-worth/bin/zookeeper-server-start.sh /data/tools/kafka-worth/config/zookeeper.properties
ExecStop=/data/tools/kafka-worth/bin/zookeeper-server-stop.sh
[Install]
WantedBy=multi-user.target

vi /etc/systemd/system/kafka.service

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[Unit]
Description=Apache Kafka server (broker)
Documentation=http://kafka.apache.org/documentation.html
Requires=network.target remote-fs.target
After=network.target remote-fs.target kafka-zookeeper.service
[Service]
Type=simple
ExecStart=/opt/kafka/bin/kafka-server-start.sh /opt/kafka/config/server.properties
ExecStop=/opt/kafka/bin/kafka-server-stop.sh
[Install]
WantedBy=multi-user.target
  • 启动
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systemctl daemon-reload
systemctl start kafka-zookeeper.service
systemctl start kafka.service

1.3 kafka 使用

  • 创建一个 topic.

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    bin/kafka-topics.sh --create --topic pingback --bootstrap-server localhost:9092

    # 删除topic
    bin/kafka-topics.sh --delete --topic pingback --bootstrap-server localhost:9092

  • 显示

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    # 显示所有 topics
    bin/kafka-topics.sh --list --bootstrap-server localhost:9092 


    # 显示特定 topic 属性
    bin/kafka-topics.sh --describe --topic pingback --bootstrap-server localhost:9092

  • 看组

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    # 显示所有组
    bin/kafka-consumer-groups.sh  --list --bootstrap-server localhost:9092


    # 看特定组的消费情况
    bin/kafka-consumer-groups.sh --describe --group test-consumer-group --bootstrap-server localhost:9092

  • 生产

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    bin/kafka-console-producer.sh --topic pingback --bootstrap-server localhost:9092
    #>This is my first event
    #>This is my second event
    #You can stop the producer client with Ctrl-C at any time.

  • 消费

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    bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic pingback
    bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic pingback --from-beginning --group test-consumer-group

    #This is my first event
    #This is my second event
    #You can stop the consumer client with Ctrl-C at any time.

  • 重置offset

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    # 回到最早该消费的点
    bin/kafka-consumer-groups.sh --group test-consumer-group --bootstrap-server localhost:9092 --reset-offsets --to-earliest --all-topics --execute

    # 重置到特定的 offset
    bin/kafka-consumer-groups.sh --group test-consumer-group --bootstrap-server localhost:9092 --reset-offsets --topic pingback:0 --to-offset 123 --execute

    提交过offset，latest和earliest没有区别，但是在没有提交offset情况下，用latest直接会导致无法读取旧数据。

  • 删除数据

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    # 清理数据
    1. bin/kafka-configs.sh --bootstrap-server localhost:9092 --entity-type topics --entity-name pingback --alter --add-config retention.ms=1000
    2. bin/kafka-configs.sh --bootstrap-server localhost:9092 --entity-type topics --entity-name pingback --alter --delete-config retention.ms

    # 重置最初

1.4 配置

1.4.1 kafka支持远程访问

打开config/server.properties配置文件，更改如下

把31行的注释去掉，listeners=PLAINTEXT://:9092
把36行的注释去掉，把advertised.listeners值改为PLAINTEXT://host_ip:9092

1.4.2 修改 log 路径

Kafka的data目录是存储Kafka的数据文件的目录，是在${KAFKA_HOME}/config/server.properties中修改

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log.dirs=/data/kafka_data

注意：log.dirs可以配置多个目录，需要用逗号分隔开

1.4.3 周期删除数据

sudo vi config/server.properties

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log.retention.minutes=3
log.retention.hours=1  # 选一个
log.cleanup.policy=delete

2. filebeat

2.1 安装

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wget https://artifacts.elastic.co/downloads/beats/filebeat/filebeat-7.12.1-linux-x86_64.tar.gz
tar zxvf filebeat-7.12.1-linux-x86_64.tar.gz
cd filebeat-7.12.1-linux-x86_64/

2.2 filebeat.yml

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filebeat.inputs:
- type: log
  enabled: true
  paths:
      - /DATA/log/nginx/pb_ptio.access.log
  fields:
        document_type: online-pingback


output.kafka:
  hosts: ["localhost:9092"]
  topic: 'pingback'
  partition.round_robin:
    reachable_only: false
  compression: gzip


processors:
  - decode_json_fields:
      fields: ['message']
      target: ""
      overwrite_keys: false
      process_array: false
      max_depth: 1
  - decode_json_fields:
      fields: ['request_body']
      target: ""
      overwrite_keys: false
      process_array: false
      max_depth: 3
  - drop_fields:
      fields: ["message"]

2.3 systemctl 服务

vi /etc/systemd/system/filebeat.service

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[Unit]
Description=filebeat
After=network.target
[Service]
Type=simple
Restart=yes
ExecStart=/opt/filebeat/filebeat -e -c /opt/filebeat/filebeat.yml
[Install]
WantedBy=multi-user.target

  • 启动

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    systemctl start filebeat

3. golang 读取 kafka

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package main

import (
	"context"
	"flag"
	"log"
	"os"
	"os/signal"
	"strings"
	"sync"
	"syscall"

	"github.com/Shopify/sarama"
)

// Sarama configuration options
var (
	brokers  = ""
	version  = ""
	group    = ""
	topics   = ""
	assignor = ""
	oldest   = true
	verbose  = false
)

func init() {
	flag.StringVar(&brokers, "brokers", "", "Kafka bootstrap brokers to connect to, as a comma separated list")
	flag.StringVar(&group, "group", "", "Kafka consumer group definition")
	flag.StringVar(&version, "version", "2.1.1", "Kafka cluster version")
	flag.StringVar(&topics, "topics", "", "Kafka topics to be consumed, as a comma separated list")
	flag.StringVar(&assignor, "assignor", "range", "Consumer group partition assignment strategy (range, roundrobin, sticky)")
	flag.BoolVar(&oldest, "oldest", true, "Kafka consumer consume initial offset from oldest")
	flag.BoolVar(&verbose, "verbose", false, "Sarama logging")
	flag.Parse()

	if len(brokers) == 0 {
		panic("no Kafka bootstrap brokers defined, please set the -brokers flag")
	}

	if len(topics) == 0 {
		panic("no topics given to be consumed, please set the -topics flag")
	}

	if len(group) == 0 {
		panic("no Kafka consumer group defined, please set the -group flag")
	}
}

func main() {
	log.Println("Starting a new Sarama consumer")

	if verbose {
		sarama.Logger = log.New(os.Stdout, "[sarama] ", log.LstdFlags)
	}

	version, err := sarama.ParseKafkaVersion(version)
	if err != nil {
		log.Panicf("Error parsing Kafka version: %v", err)
	}

	/**
	 * Construct a new Sarama configuration.
	 * The Kafka cluster version has to be defined before the consumer/producer is initialized.
	 */
	config := sarama.NewConfig()
	config.Version = version

	switch assignor {
	case "sticky":
		config.Consumer.Group.Rebalance.Strategy = sarama.BalanceStrategySticky
	case "roundrobin":
		config.Consumer.Group.Rebalance.Strategy = sarama.BalanceStrategyRoundRobin
	case "range":
		config.Consumer.Group.Rebalance.Strategy = sarama.BalanceStrategyRange
	default:
		log.Panicf("Unrecognized consumer group partition assignor: %s", assignor)
	}

	if oldest {
		config.Consumer.Offsets.Initial = sarama.OffsetOldest
	}

	/**
	 * Setup a new Sarama consumer group
	 */
	consumer := Consumer{
		ready: make(chan bool),
	}

	ctx, cancel := context.WithCancel(context.Background())
	client, err := sarama.NewConsumerGroup(strings.Split(brokers, ","), group, config)
	if err != nil {
		log.Panicf("Error creating consumer group client: %v", err)
	}

	wg := &sync.WaitGroup{}
	wg.Add(1)
	go func() {
		defer wg.Done()
		for {
			// `Consume` should be called inside an infinite loop, when a
			// server-side rebalance happens, the consumer session will need to be
			// recreated to get the new claims
			if err := client.Consume(ctx, strings.Split(topics, ","), &consumer); err != nil {
				log.Panicf("Error from consumer: %v", err)
			}
			// check if context was cancelled, signaling that the consumer should stop
			if ctx.Err() != nil {
				return
			}
			consumer.ready = make(chan bool)
		}
	}()

	<-consumer.ready // Await till the consumer has been set up
	log.Println("Sarama consumer up and running!...")

	sigterm := make(chan os.Signal, 1)
	signal.Notify(sigterm, syscall.SIGINT, syscall.SIGTERM)
	select {
	case <-ctx.Done():
		log.Println("terminating: context cancelled")
	case <-sigterm:
		log.Println("terminating: via signal")
	}
	cancel()
	wg.Wait()
	if err = client.Close(); err != nil {
		log.Panicf("Error closing client: %v", err)
	}
}

// Consumer represents a Sarama consumer group consumer
type Consumer struct {
	ready chan bool
}

// Setup is run at the beginning of a new session, before ConsumeClaim
func (consumer *Consumer) Setup(sarama.ConsumerGroupSession) error {
	// Mark the consumer as ready
	close(consumer.ready)
	return nil
}

// Cleanup is run at the end of a session, once all ConsumeClaim goroutines have exited
func (consumer *Consumer) Cleanup(sarama.ConsumerGroupSession) error {
	return nil
}

// ConsumeClaim must start a consumer loop of ConsumerGroupClaim's Messages().
func (consumer *Consumer) ConsumeClaim(session sarama.ConsumerGroupSession, claim sarama.ConsumerGroupClaim) error {
	// NOTE:
	// Do not move the code below to a goroutine.
	// The `ConsumeClaim` itself is called within a goroutine, see:
	// https://github.com/Shopify/sarama/blob/master/consumer_group.go#L27-L29
	for message := range claim.Messages() {
		log.Printf("Message claimed: value = %s, timestamp = %v, topic = %s", string(message.Value), message.Timestamp, message.Topic)
		session.MarkMessage(message, "")
	}

	return nil
}

4. 参考资料

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