使用 Imply 安装部署 Druid 集群并测试

本是古典何须时尚 2023-02-14 10:26 8阅读 0赞

1.  ###### 下载 imply 安装包 ######
    
        [root@node01 opt]# wget https://static.imply.io/release/imply-3.3.3.tar.gz
2.  ###### 解压安装包并修改配置文件 ######
    
        [root@node01 opt]# tar -xzf imply-3.3.3.tar.gz
        [root@node01 ~]# cd imply-3.3.3
        [root@node01 imply-3.3.3]# cd conf/druid/_common/
        [root@node01 imply-3.3.3]# vim common.runtime.properties
    
    修改配置文件
    
        #
        # Extensions
        #
        
        druid.extensions.directory=dist/druid/extensions
        druid.extensions.hadoopDependenciesDir=dist/druid/hadoop-dependencies
        druid.extensions.loadList=["mysql-metadata-storage", "druid-hdfs-storage", "druid-kafka-extraction-namespace", "druid-kafka-indexing-service", "druid-parquet-extensions"]
        
        #
        # Logging
        #
        
        # Log all runtime properties on startup. Disable to avoid logging properties on startup:
        druid.startup.logging.logProperties=true
        
        #
        # Zookeeper
        #
        
        druid.zk.service.host=bigdata-dev-zk-01:2181,bigdata-dev-zk-02:2181,bigdata-dev-zk-03:2181
        druid.zk.paths.base=/druid
        
        #
        # Metadata storage
        #
        
        # For MySQL:
        druid.metadata.storage.type=mysql
        druid.metadata.storage.connector.connectURI=jdbc:mysql://10.101.40.206:3306/druid
        druid.metadata.storage.connector.user=druid
        druid.metadata.storage.connector.password=druid
        
        #
        # Deep storage
        #
        
        
        # For HDFS:
        druid.storage.type=hdfs
        druid.storage.storageDirectory=hdfs://HDBDC/druid/segments
        
        #
        # Indexing service logs
        #
        
        # For HDFS:
        druid.indexer.logs.type=hdfs
        druid.indexer.logs.directory=hdfs://HDBDC/druid/indexing-logs
        
        #
        # Service discovery
        #
        
        druid.selectors.indexing.serviceName=druid/overlord
        druid.selectors.coordinator.serviceName=druid/coordinator
        
        #
        # Monitoring
        #
        
        druid.monitoring.monitors=["org.apache.druid.java.util.metrics.JvmMonitor"]
        druid.emitter=logging
        druid.emitter.logging.logLevel=debug
3.  ###### 分发到集群其他节点 ######
    
        [root@node01 opt]# zip -r imply-3.3.3.zip imply-3.3.3/
        [root@node01 opt]# scp -r imply-3.3.3.zip root@node02:/opt/
4.  ###### 启动 imply ######
    
    **启动主服务器:**
    
        # --daemon 表示后台启动
        bin/supervise -c conf/supervise/master-no-zk.conf --daemon
    
    **启动查询服务器:**
    
        bin/supervise -c conf/supervise/query.conf --daemon
    
    **启动数据服务器:**
    
        bin/supervise -c conf/supervise/data.conf --daemon
    
    **终止进程:**
    
        bin/service --down
    
    访问地址: http://查询服务器IP:9095
5.  ###### 导入数据 ######
    
    查看官方文档: https://docs.imply.io/on-prem/quickstart