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最新版ClickHouse服务器Docker镜像部署指南

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在处理这个请求之前,首先需要明确“clickhouse-server:latest”是一个Docker镜像的名称,这个镜像代表了ClickHouse数据库的服务器端组件。ClickHouse是一款开源的列式数据库管理系统,特别适合于在线分析处理(OLAP)场景,能够提供高速的数据写入和读取性能。接下来将详细阐述标题、描述、标签以及压缩包子文件名称列表中的相关知识点。 ### ClickHouse知识点: 1. **ClickHouse简介:** - ClickHouse是一个用于在线分析(OLAP)的开源列式数据库管理系统(DBMS)。 - 它能够快速地执行大量数据的聚合查询,特别适合于需要快速读取和分析的场景。 - 它能够以低延迟对大量数据进行实时分析,支持实时数据插入和查询。 2. **ClickHouse的特点:** - **列式存储:** ClickHouse的数据存储格式是列式的,这意味着每一列数据独立存储和计算,这样在处理查询时能够更有效地加载和处理数据。 - **向量化查询执行:** ClickHouse支持向量化查询执行,这可以极大提高处理速度。 - **数据分区:** 可以对数据进行分区,以优化存储和查询性能。 - **复制和数据完整性:** ClickHouse支持数据复制,能够提供高可用性和数据冗余。 - **多核心和分布式处理:** 支持利用多核CPU进行并行处理,支持分布式计算。 ### Docker知识点: 1. **Docker镜像:** - Docker镜像是一个轻量级、可执行的独立软件包,它包含了运行一个应用程序所需的所有内容:代码、运行时环境、库、环境变量和配置文件。 - Docker镜像可以通过Dockerfile来构建,也可以从Docker Hub或者其它镜像仓库中拉取。 - 当使用`docker run`命令时,Docker会从镜像创建一个容器实例来运行应用。 2. **Docker容器:** - Docker容器是镜像的运行实例,可以理解为一个轻量级的虚拟机。 - 容器之间是隔离的,它们有自己独立的文件系统,运行在自己的进程中,并且拥有自己的网络配置。 3. **Docker标签(Tags):** - Docker镜像可以有一个或多个标签,通常用来表示版本或环境。 - 在“clickhouse-server:latest”中,“latest”是一个标签,它通常指向镜像的最新版本。 ### Kubernetes知识点: 1. **Kubernetes基础:** - Kubernetes是一个开源的,用于自动部署、扩展和管理容器化应用程序的系统。 - 它通过将容器化应用组织成逻辑单元来简化部署、运维和扩展等工作。 2. **使用Docker与Kubernetes:** - Kubernetes可以运行在各种不同的环境中,包括物理机、虚拟机或者云平台。 - Kubernetes使用容器(如Docker容器)来运行应用程序,提供了一套声明式配置来部署和管理这些容器。 3. **Kubernetes与Docker镜像管理:** - 当我们使用`kubectl run`或者创建Pod、Deployment时,可以在YAML配置文件中指定使用的Docker镜像。 - “clickhouse-server:latest”可能被用在Kubernetes部署配置中,指定要使用的ClickHouse服务端Docker镜像。 ### 压缩包子文件知识点: 1. **压缩文件格式:** - `.tar.gz`是一种常见的压缩文件格式,其中`.tar`是一种归档格式,通常用来打包多个文件和目录,而`.gz`是一种使用gzip算法进行压缩的扩展名。 - 该压缩格式广泛用于Linux和Unix系统,支持高压缩比和较好的压缩速度。 2. **文件名称“clickhouse-sever.tar.gz”:** - 可能是一个ClickHouse的安装包或者源代码压缩包。 - 这个文件需要在Unix/Linux系统下使用`tar -zxvf clickhouse-sever.tar.gz`命令进行解压缩。 ### 结合点: - **Docker与ClickHouse结合:** - 用户可以使用已经构建好的“clickhouse-server:latest” Docker镜像在本地或云平台上快速部署ClickHouse服务。 - 这种方式大大简化了ClickHouse的安装、配置和维护过程。 - **Kubernetes与Docker结合:** - Kubernetes可以管理运行在Docker容器上的ClickHouse服务,实现集群的自动化部署和管理。 - 用户可以通过Kubernetes来扩缩ClickHouse服务,实现高可用和负载均衡。 - **ClickHouse与压缩文件结合:** - 如果ClickHouse的数据文件或者安装文件被打包成`.tar.gz`格式,用户在进行安装或迁移时可以方便地进行传输和部署。 综上所述,了解“clickhouse-server:latest”以及其相关技术和压缩文件格式的知识对于配置、部署和管理ClickHouse服务是非常有帮助的。无论是在独立服务器上还是在由Kubernetes管理的容器化环境中,这些知识点都是基础且实用的。

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version: '3.8' services: spark-master: image: bitnami/spark:3.4.1 container_name: spark-master hostname: spark-master ports: - 8080:8080 - 7077:7077 environment: - SPARK_MODE=master - SPARK_RPC_AUTHENTICATION_ENABLED=no - SPARK_RPC_ENCRYPTION_ENABLED=no - SPARK_LOCAL_STORAGE_ENCRYPTION_ENABLED=no - SPARK_SSL_ENABLED=no - SPARK_MASTER_PORT=7077 - SPARK_WEBUI_PORT=8080 - SPARK_MASTER_HOST=0.0.0.0 volumes: - ./config/spark:/opt/bitnami/spark/conf - ./app:/app - ./data:/data user: "0" networks: - hadoop spark-worker: image: bitnami/spark:3.4.1 container_name: spark-worker environment: - SPARK_MODE=worker - SPARK_MASTER_URL=spark://spark-master:7077 - SPARK_WORKER_MEMORY=4g - SPARK_WORKER_CORES=2 - SPARK_RPC_AUTHENTICATION_ENABLED=no - SPARK_RPC_ENCRYPTION_ENABLED=no - SPARK_LOCAL_STORAGE_ENCRYPTION_ENABLED=no - SPARK_SSL_ENABLED=no depends_on: - spark-master volumes: - ./config/spark:/opt/bitnami/spark/conf - ./app:/app - ./data:/data - ./storage/clickhouse/data:/var/lib/clickhouse:wr user: "0" networks: - hadoop jupyter: image: jupyter/base-notebook:latest container_name: jupyter hostname: jupyter ports: - 8888:8888 - 4040:4040 volumes: - ./app:/home/jovyan/app - ./config/hadoop:/etc/hadoop environment: - SPARK_MASTER=spark://spark-master:7077 - HADOOP_CONF_DIR=/etc/hadoop - JUPYTER_TOKEN=110124 depends_on: - spark-master user: "0" networks: - hadoop clickhouse-server: image: clickhouse/clickhouse-server:latest container_name: clickhouse-server ports: - "8123:8123" networks: - hadoop environment: - CHOWN_EXTRA=/var/lib/clickhouse - CHOWN_EXTRA_OPTS=-R volumes: - ./storage/clickhouse/conf/config.xml:/etc/clickhouse-server/config.xml - ./storage/clickhouse/conf/users.xml:/etc/clickhouse-server/users.xml - ./storage/clickhouse/data:/var/lib/clickhouse:wr - ./storage/clickhouse/log:/var/log/clickhouse-server:wr user: "0" networks: hadoop: driver: bridge这是我的配置文件,需要修改什么来解决这个问题

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127.0.0.1:9000:9000 healthcheck: test: wget --no-verbose --tries=1 --spider http://localhost:8123/ping || exit 1 interval: 5s timeout: 5s retries: 10 start_period: 1s minio: image: docker.io/minio/minio restart: always entrypoint: sh # create the 'langfuse' bucket before starting the service command: -c 'mkdir -p /data/langfuse && minio server --address ":9000" --console-address ":9001" /data' environment: MINIO_ROOT_USER: minio MINIO_ROOT_PASSWORD: miniosecret # CHANGEME ports: - 9090:9000 - 127.0.0.1:9091:9001 volumes: - langfuse_minio_data:/data healthcheck: test: ["CMD", "mc", "ready", "local"] interval: 1s timeout: 5s retries: 5 start_period: 1s redis: image: docker.io/redis:7 restart: always # CHANGEME: row below to secure redis password command: > --requirepass ${REDIS_AUTH:-myredissecret} ports: - 127.0.0.1:6379:6379 healthcheck: test: ["CMD", "redis-cli", "ping"] interval: 3s timeout: 10s retries: 10 postgres: image: docker.io/postgres:${POSTGRES_VERSION:-latest} restart: always healthcheck: test: ["CMD-SHELL", "pg_isready -U postgres"] interval: 3s timeout: 3s retries: 10 environment: POSTGRES_USER: postgres POSTGRES_PASSWORD: postgres # CHANGEME POSTGRES_DB: postgres ports: - 127.0.0.1:5432:5432 volumes: - langfuse_postgres_data:/var/lib/postgresql/data volumes: langfuse_postgres_data: driver: local langfuse_clickhouse_data: driver: local langfuse_clickhouse_logs: driver: local langfuse_minio_data: driver: local 用它部署了一组容器,启动后发现langfuse-web前端一直提示正在加载什么原因呢,是正常现象还是故障

Alex-Mason
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