Kafka Eagle 3.0.1功能预览

1.概述

最近有同学留言，关于Kafka Eagle的一些使用问题。今天笔者就为大家来详细介绍Kafka Eagle 3.0.1的功能以及使用方法。

2.内容

在3.0.1版本中，EFAK优化了分布式模式的服务性能，减少了磁盘IO和网络IO的操作次数，提升了内存和CPU的使用率。下面，我们就来看看3.0.1的相关功能。

2.1 基础环境

部署EFAK所需要的基础环境如下：

2.2.1 硬件和操作系统

• 操作系统：Linux系统即可（Ubuntu、CentOS等）
• JDK：JDK8以上
• CPU：1核以上
• 内存：2GB以上

2.2.2 EFAK安装包

EFAK安装包，目前官网上以及发布了最新的v3.0.1版本，支持分布式模式部署。可以直接下载到Linux服务器进行安装和部署使用。如果需要自行编译部署，可以到Github下载源代码进行编译部署：

• 方式一：官网下载v2.0.9安装包
• 方式二：Github下载源代码，参考README说明进行编译

2.2 安装部署

2.2.3 配置EFAK系统文件

cd ${KE_HOME}/conf

vi system-config.properties
# Multi zookeeper&kafka cluster list -- The client connection address of the Zookeeper cluster is set here
efak.zk.cluster.alias=cluster1,cluster2
cluster1.zk.list=tdn1:2181,tdn2:2181,tdn3:2181
cluster2.zk.list=xdn1:2181,xdn2:2181,xdn3:2181
# Add zookeeper acl
cluster1.zk.acl.enable=false
cluster1.zk.acl.schema=digest
cluster1.zk.acl.username=test
cluster1.zk.acl.password=test123
# Kafka broker nodes online list
cluster1.efak.broker.size=10
cluster2.efak.broker.size=20
# Zkcli limit -- Zookeeper cluster allows the number of clients to connect to
# If you enable distributed mode, you can set value to 4 or 8
kafka.zk.limit.size=16
# EFAK webui port -- WebConsole port access address
efak.webui.port=8048
######################################
# EFAK enable distributed
######################################
efak.distributed.enable=false
# master worknode set status to master, other node set status to slave
efak.cluster.mode.status=slave
# deploy efak server address
efak.worknode.master.host=localhost
efak.worknode.port=8085
# Kafka offset storage -- Offset stored in a Kafka cluster, if stored in the zookeeper, you can not use this option
cluster1.efak.offset.storage=kafka
cluster2.efak.offset.storage=kafka
# Whether the Kafka performance monitoring diagram is enabled
efak.metrics.charts=false
# EFAK keeps data for 30 days by default
efak.metrics.retain=30
# If offset is out of range occurs, enable this property -- Only suitable for kafka sql
efak.sql.fix.error=false
efak.sql.topic.records.max=5000
# Delete kafka topic token -- Set to delete the topic token, so that administrators can have the right to delete
efak.topic.token=keadmin
# Kafka sasl authenticate
cluster1.efak.sasl.enable=false
cluster1.efak.sasl.protocol=SASL_PLAINTEXT
cluster1.efak.sasl.mechanism=SCRAM-SHA-256
cluster1.efak.sasl.jaas.config=org.apache.kafka.common.security.scram.ScramLoginModule required username="admin" password="admin-secret";
# If not set, the value can be empty
cluster1.efak.sasl.client.id=
# Add kafka cluster cgroups
cluster1.efak.sasl.cgroup.enable=false
cluster1.efak.sasl.cgroup.topics=kafka_ads01,kafka_ads02
cluster2.efak.sasl.enable=true
cluster2.efak.sasl.protocol=SASL_PLAINTEXT
cluster2.efak.sasl.mechanism=PLAIN
cluster2.efak.sasl.jaas.config=org.apache.kafka.common.security.plain.PlainLoginModule required username="admin" password="admin-secret";
cluster2.efak.sasl.client.id=
cluster2.efak.sasl.cgroup.enable=false
cluster2.efak.sasl.cgroup.topics=kafka_ads03,kafka_ads04
# Default use sqlite to store data
efak.driver=org.sqlite.JDBC
# It is important to note that the '/hadoop/kafka-eagle/db' path must be exist.
efak.url=jdbc:sqlite:/hadoop/kafka-eagle/db/ke.db
efak.username=root
efak.password=smartloli
# (Optional) set mysql address
#efak.driver=com.mysql.jdbc.Driver
#efak.url=jdbc:mysql://127.0.0.1:3306/ke?useUnicode=true&characterEncoding=UTF-8&zeroDateTimeBehavior=convertToNull
#efak.username=root
#efak.password=smartloli