kafka基本命令和实践

Kafka基本命令

#启动server
./bin/kafka-server-start.sh config/server.properties

#创建topic(主题)test
./bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 -partitions 1 --topic test

#删除主题 
./bin/kafka-topics.sh --zookeeper localhost:2181 --delete --topic test 
#– 注意：如果kafaka启动时加载的配置文件中server.properties没有配置delete.topic.enable=true，那么此 时的删除并不是真正的删除，而是把topic标记为：marked for deletion 
#– 此时你若想真正删除它，可以登录zookeeper客户端，进入终端后，删除相应节点

#查看主题
./bin/kafka-topics.sh --list --zookeeper localhost:2181

#查看主题test的详情
./bin/kafka-topics.sh --describe --zookeeper localhost:2181 --topic test

#Consumer读消息
./bin/kafka-console-consumer.sh --zookeeper master:2181 --topic badou --from-beginning

#Producer发消息
./bin/kafka-console-producer.sh --broker-list master:9092 --topic badou

用Kafka和Flume搭建日志系统

1.master节点和slave节点启动zookeeper

./bin/zkServer.sh start

2.启动kafka

#启动server
./bin/kafka-server-start.sh config/server.properties

#创建topic badou
./bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 -partitions 1 --topic badou

#Consumer读消息
./bin/kafka-console-consumer.sh --zookeeper master:2181 --topic badou --from-beginning

3.启动Flume

./bin/flume-ng agent -c conf -f conf/flume_kafka.conf -n a1 -Dflume.root.logger=INFO,console

Flume配置文件flume_kafka.conf

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

# Describe/configure the source
a1.sources.r1.type = exec
a1.sources.r1.command = tail -f /home/badou/flume_test/flume_exec_test.txt

#a1.sinks.k1.type = logger
# 设置kafka接收器 
a1.sinks.k1.type = org.apache.flume.sink.kafka.KafkaSink
# 设置kafka的broker地址和端口号
a1.sinks.k1.brokerList=master:9092
# 设置Kafka的topic
a1.sinks.k1.topic=badou
# 设置序列化的方式
a1.sinks.k1.serializer.class=kafka.serializer.StringEncoder

# use a channel which buffers events in memory
a1.channels.c1.type=memory
a1.channels.c1.capacity = 100000
a1.channels.c1.transactionCapacity = 1000

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

4.执行python脚本

模拟将后端日志写入日志文件中

python flume_data_write.py

python代码：

# -*- coding: utf-8 -*-
import random
import time
import pandas as pd
import json

writeFileName="./flume_exec_test.txt"
cols = ["order_id","user_id","eval_set","order_number","order_dow","hour","day"] 
df1 = pd.read_csv(‘/mnt/hgfs/share_folder/00-data/orders.csv‘)
df1.columns = cols
df = df1.fillna(0)
with open(writeFileName,‘a+‘)as wf:
    for idx,row in df.iterrows():
        d = {}
        for col in cols:
            d[col]=row[col]
        js = json.dumps(d)
        wf.write(js+‘\n‘)