我是一个完美的小白与K8S。我安装microk8s和头盔使用snap本地试验。我想知道我当前的问题是否来自使用snap（其目的是封装，据我所知）

环境

Ubuntu 20.04LTS

helm version                                                                            
version.BuildInfo{Version:"v3.2.4", GitCommit:"0ad800ef43d3b826f31a5ad8dfbb4fe05d143688", GitTreeState:"clean", GoVersion:"go1.13.12"}
kubectl version     
Client Version: version.Info{Major:"1", Minor:"18+", GitVersion:"v1.18.4-1+6f17be3f1fd54a", GitCommit:"6f17be3f1fd54a88681869d1cf8bedd5a2174504", GitTreeState:"clean", BuildDate:"2020-06-23T21:16:24Z", GoVersion:"go1.14.4", Compiler:"gc", Platform:"linux/amd64"}
Server Version: version.Info{Major:"1", Minor:"18+", GitVersion:"v1.18.4-1+6f17be3f1fd54a", GitCommit:"6f17be3f1fd54a88681869d1cf8bedd5a2174504", GitTreeState:"clean", BuildDate:"2020-06-23T21:17:52Z", GoVersion:"go1.14.4", Compiler:"gc", Platform:"linux/amd64"}

kubectl config get-contexts                                                             
CURRENT   NAME       CLUSTER            AUTHINFO   NAMESPACE
*         microk8s   microk8s-cluster   admin      

安装后设置

microk8s enable helm3

Kubernetes 已启动并运行

kubectl cluster-info 
Kubernetes master is running at https://127.0.0.1:16443
CoreDNS is running at https://127.0.0.1:16443/api/v1/namespaces/kube-system/services/kube-dns:dns/proxy

连接时helm出现问题microk8s

helm …

我正在寻找将数据帧列转换为 RDD 的最直接、最惯用的方法。假设列views包含浮点数。以下不是我要找的

views = df_filtered.select("views").rdd

因为我最终得到的是 aRDD[Row]而不是 a RDD[Float]，因此我无法将其提供给 mllib.stat 中的任何统计方法（如果我正确理解发生了什么）：

corr = Statistics.corr(views, likes, method="pearson")
TypeError: float() argument must be a string or a number

在 pandas 中，我会尝试.values()将 pandas Series 转换为其值数组，但 RDD.values()方法似乎无法以这种方式工作。我最终得出以下解决方案

views = df_filtered.select("views").rdd.map(lambda r: r["views"])

但我想知道是否有更直接的解决方案

我在 gitlab 管道中使用amazon/aws-cli:2.2.40在 S3 上发布静态站点。

deploy_front: 
  image: amazon/aws-cli:2.2.40
  variables:
    AWS_ACCESS_KEY_ID:  $AWS_ACCESS_KEY_ID
    AWS_SECRET_ACCESS_KEY: $AWS_SECRET_ACCESS_KEY
    AWS_DEFAULT_REGION: $AWS_DEFAULT_REGION
  stage: publish
  script:
    - s3 sync ./front/build s3://some-bucket-name

最终在

usage: aws [options] <command> <subcommand> [<subcommand> ...] [parameters]
To see help text, you can run:
  aws help
  aws <command> help
  aws <command> <subcommand> help
aws: error: argument command: Invalid choice, valid choices are:
accessanalyzer                           | acm                                     
acm-pca                                  | alexaforbusiness                        
amp                                      | amplify                                 
amplifybackend                           | apigateway
.......                                    ..........

我设法通过docker run -it amazon/aws-cli:2.2.40 aws s3 …

Django 努力寻找Pillow，我不太确定为什么。

环境

基于 Linux Alpine 的 Docker 镜像，Django 2.2。以下是相关部分：

Dockerfile

RUN apk update \
    && apk add --virtual build-deps gcc python3-dev musl-dev jpeg-dev zlib-dev \
    && apk add --no-cache mariadb-dev mariadb-client

# install dependencies
RUN pip install --upgrade pip
RUN pip install pipenv
RUN pip install mysqlclient
COPY ./Pipfile /usr/src/cms/Pipfile
RUN pipenv install --skip-lock --system --dev
RUN apk del build-deps

文件

[[source]]
name = "pypi"
url = "https://pypi.org/simple"
verify_ssl = true

[dev-packages]

[packages]
django = "==2.2"
markdown …