docker.io/datafuselabs/databend:v1.2.790-nightly linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/datafuselabs/databend:v1.2.790-nightly
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/datafuselabs/databend:v1.2.790-nightly  docker.io/datafuselabs/databend:v1.2.790-nightly

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/datafuselabs/databend:v1.2.790-nightly
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/datafuselabs/databend:v1.2.790-nightly  docker.io/datafuselabs/databend:v1.2.790-nightly

Shell快速替换命令

sed -i 's#datafuselabs/databend:v1.2.790-nightly#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/datafuselabs/databend:v1.2.790-nightly#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/datafuselabs/databend:v1.2.790-nightly && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/datafuselabs/databend:v1.2.790-nightly  docker.io/datafuselabs/databend:v1.2.790-nightly'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/datafuselabs/databend:v1.2.790-nightly && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/datafuselabs/databend:v1.2.790-nightly  docker.io/datafuselabs/databend:v1.2.790-nightly'

镜像构建历史

# 2025-08-06 16:54:33  0.00B 声明容器运行时监听的端口
EXPOSE map[3307/tcp:{} 8000/tcp:{} 8124/tcp:{} 8900/tcp:{}]
                        
# 2025-08-06 16:54:33  0.00B 创建挂载点用于持久化数据或共享数据
VOLUME [/var/log/databend /etc/databend /var/lib/databend /var/lib/minio]
                        
# 2025-08-06 16:54:33  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["dumb-init" "--" "/bootstrap.sh"]
                        
# 2025-08-06 16:54:33  3.15KB 复制新文件或目录到容器中
COPY ./docker/bootstrap.sh /bootstrap.sh # buildkit
                        
# 2025-08-06 16:54:33  688.00B 复制新文件或目录到容器中
COPY ./docker/query-config.toml /etc/databend/query_config_spec.toml # buildkit
                        
# 2025-08-06 16:54:33  340.44MB 复制新文件或目录到容器中
COPY ./distro/linux/amd64/databend-query /usr/bin/databend-query # buildkit
                        
# 2025-08-06 16:54:32  196.77MB 复制新文件或目录到容器中
COPY ./distro/linux/amd64/databend-meta /usr/bin/databend-meta # buildkit
                        
# 2025-08-06 16:54:32  17.35MB 执行命令并创建新的镜像层
RUN |1 TARGETPLATFORM=linux/amd64 /bin/sh -c apt-get update -y &&     apt-get install -y apt-transport-https ca-certificates curl xxd dumb-init &&     apt-get clean &&     rm -rf /var/lib/apt/lists/* &&     rm -rf /var/cache/apt/* # buildkit
                        
# 2025-08-06 16:54:32  0.00B 定义构建参数
ARG TARGETPLATFORM=linux/amd64
                        
# 2025-07-21 08:00:00  116.55MB 
# debian.sh --arch 'amd64' out/ 'bookworm' '@1753056000'
                        
                    

镜像信息

{
    "Id": "sha256:8fb3f68a551677ca28a9fb3ce08bb4ee8c8d8f8707b3850202c31effbbb86e59",
    "RepoTags": [
        "datafuselabs/databend:v1.2.790-nightly",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/datafuselabs/databend:v1.2.790-nightly"
    ],
    "RepoDigests": [
        "datafuselabs/databend@sha256:536dbd6736dd067d7e197814348837c265a814bf6cb2f4a4bfd4fe3390e2f8e6",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/datafuselabs/databend@sha256:e342b82536f190eee53abbea73f7dce5b21821cd4690ee02e221de8d6b31e9bb"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-08-06T08:54:33.041307108Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "3307/tcp": {},
            "8000/tcp": {},
            "8124/tcp": {},
            "8900/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": {
            "/etc/databend": {},
            "/var/lib/databend": {},
            "/var/lib/minio": {},
            "/var/log/databend": {}
        },
        "WorkingDir": "",
        "Entrypoint": [
            "dumb-init",
            "--",
            "/bootstrap.sh"
        ],
        "OnBuild": null,
        "Labels": null
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 671109092,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/ebe8d457d5b138d1e00a9d7532e3575674000b3901d0fc0954da3e28d2069bc9/diff:/var/lib/docker/overlay2/75ee4e0942eddbeaf177b94d212623183590d1c41330e065038f053f125b7e15/diff:/var/lib/docker/overlay2/58fb6ab77de46b5b1368eefe23825b2b763e9bcc5d8ba12a380414f046ba1f14/diff:/var/lib/docker/overlay2/4b5937648fd9fad2d33c5864bc03f3590369c6075e5dbf6ee34887355d90c6ed/diff:/var/lib/docker/overlay2/2cdb74376df6557e1922e8727427f5651abd84d03744250642ac8dbc68559312/diff",
            "MergedDir": "/var/lib/docker/overlay2/85161114d475d662a9faab451190737035ddb2682834a2028c3f496e8c88e364/merged",
            "UpperDir": "/var/lib/docker/overlay2/85161114d475d662a9faab451190737035ddb2682834a2028c3f496e8c88e364/diff",
            "WorkDir": "/var/lib/docker/overlay2/85161114d475d662a9faab451190737035ddb2682834a2028c3f496e8c88e364/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:175a198361755136c75d537bc9057c9c8e1b7a20eb771374a8339eaadfef29e9",
            "sha256:68ec99da6841cff4fd2c3051d6f52d06c5f66879db694448305483fc85de5c25",
            "sha256:7ccc013622a054f445d82df9251c138f48708ba23acd18dd9f62fd0f316016a3",
            "sha256:38c0ba7cc70cdfd591c8866934090a1a3d104f6d79b7804e6aac74355418844c",
            "sha256:4122fa0ca6d58e4657cda042f761a5d2bd1305574a98c1c1a6c1e0125a957b46",
            "sha256:f61dfe68ff72dadebfdadb7cf67cc182fc7059fa5a5415592a0299392f3c3488"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-09-01T14:04:17.990443315+08:00"
    }
}