最近有同學留言,關於Kafka Eagle的一些使用問題。今天筆者就為大家來詳細介紹Kafka Eagle 3.0.1的功能以及使用方法。
在3.0.1版本中,EFAK優化了分散式模式的服務效能,減少了磁碟IO和網路IO的操作次數,提升了記憶體和CPU的使用率。下面,我們就來看看3.0.1的相關功能。
部署EFAK所需要的基礎環境如下:
EFAK安裝包,目前官網上以及釋出了最新的v3.0.1版本,支援分散式模式部署。可以直接下載到Linux伺服器進行安裝和部署使用。如果需要自行編譯部署,可以到Github下載原始碼進行編譯部署:
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
存取官網的DOCS目錄,如下圖所示:
在3.0.1中,提供了新的分散式模式功能、資料TV大屏、全新的WebConsole管理頁面等功能,比如Dashboard如下所示:
新的資料TV大屏功能,可以幫助使用者快速瞭解Kafka叢集資訊及應用相關情況,具體如下圖所示:
新的官網建設,方便使用者快速查閱EFAK使用方法,如下圖所示:
提供EFAK視訊預覽,方便使用者快速瞭解EFAK的新功能,如下所示:
這篇部落格就和大家分享到這裡,如果大家在研究學習的過程當中有什麼問題,可以加群進行討論或傳送郵件給我,我會盡我所能為您解答,與君共勉!
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