我一辈子都想不通。
我能找到的文档并没有描述如何做到这一点（ Jmeter 板上有很多“Hello World”）。我正在通过命令行界面运行它。
我想知道如何使用AWS Batch来处理一些数据。为了做到这一点，我将我的工作流程容器化，并将Docker容器推到DockerHub。由于Docker容器只能看到容器内的文件，因此我在Docker容器中设置了目录来挂载卷。每个Docker容器都有以下目录：/volumes/input/、/volumes/output/和/volumes/database/。我从S3复制必要的文件到EFS，但我有麻烦让所有的部分一起工作。

特别是，我需要帮助创建一个作业定义，该定义执行以下操作：1）从DockerHub中拉取我的Docker容器; 2）将EFS文件系统挂载到容器; 3）指定EFS中要Map到容器中卷的本地路径。

以下是我在运行Docker的本地机器上的典型工作流程：

# Directories
LOCAL_WORKING_DIRECTORY=$(pwd)
LOCAL_WORKING_DIRECTORY=$(realpath -m ${LOCAL_WORKING_DIRECTORY})
LOCAL_OUTPUT_PARENT_DIRECTORY=../
LOCAL_OUTPUT_PARENT_DIRECTORY=$(realpath -m ${LOCAL_OUTPUT_PARENT_DIRECTORY})
LOCAL_DATABASE_DIRECTORY=${VEBA_DATABASE}
LOCAL_DATABASE_DIRECTORY=$(realpath -m ${LOCAL_DATABASE_DIRECTORY})

CONTAINER_INPUT_DIRECTORY=/volumes/input/
CONTAINER_OUTPUT_DIRECTORY=/volumes/output/
CONTAINER_DATABASE_DIRECTORY=/volumes/database/

# Parameters
ID=S1
R1=Fastq/${ID}_1.fastq.gz
R2=Fastq/${ID}_2.fastq.gz
NAME=VEBA-preprocess__${ID}
RELATIVE_OUTPUT_DIRECTORY=veba_output/preprocess/

# Command
CMD="preprocess.py -1 ${CONTAINER_INPUT_DIRECTORY}/${R1} -2 ${CONTAINER_INPUT_DIRECTORY}/${R2} -n ${ID} -p 16 -o ${CONTAINER_OUTPUT_DIRECTORY}/${RELATIVE_OUTPUT_DIRECTORY} -x ${CONTAINER_DATABASE_DIRECTORY}/Contamination/chm13v2.0/chm13v2.0"

# Docker
# Version
VERSION=1.2.0

# Image
DOCKER_IMAGE="jolespin/veba_preprocess:${VERSION}"

# Run
docker run \
    --name ${NAME} \
    --rm \
    --volume ${LOCAL_WORKING_DIRECTORY}:${CONTAINER_INPUT_DIRECTORY}:ro \
    --volume ${LOCAL_OUTPUT_PARENT_DIRECTORY}:${CONTAINER_OUTPUT_DIRECTORY}:rw \
    --volume ${LOCAL_DATABASE_DIRECTORY}:${CONTAINER_DATABASE_DIRECTORY}:ro \
    ${DOCKER_IMAGE} \
    -c "${CMD}"

字符串
我试图通过Fargate使用AWS Batch执行此确切命令，但无法确定作业定义。有人能帮我做到这一点吗？

{
  "jobDefinitionName": "preprocess__35",
  "type": "container",
  "containerProperties": {
    "image": "docker.io/jolespin/veba_preprocess:1.2.0",
    "command": [
      "preprocess.py",
      "-1",
      "/volumes/input/35_R1.fq.gz",
      "-2",
      "/volumes/input/35_R2.fq.gz",
      "-n",
      "35",
      "-o",
      "/volumes/output/veba_output/preprocess",
      "-p",
      "16"
    ],
    "jobRoleArn": "arn:aws:iam::xxx:role/ecsTaskExecutionRole",
    "executionRoleArn": "arn:aws:iam::xxx:role/ecsTaskExecutionRole",
    "volumes": [
      {
        "name": "efs-volume-input",
        "efsVolumeConfiguration": {
          "fileSystemId": "fs-xxx",
      "transitEncryption": "ENABLED",
          "rootDirectory": "/mnt/efs/Fastq/"
        }
      },
      {
        "name": "efs-volume-output",
        "efsVolumeConfiguration": {
          "fileSystemId": "fs-xxx",
          "transitEncryption": "ENABLED",
          "rootDirectory": "/mnt/efs/veba_output"
        }
      }
    ],
    "mountPoints": [
      {
        "sourceVolume": "efs-volume-input",
        "containerPath": "/volumes/input",
        "readOnly": true
      },
      {
        "sourceVolume": "efs-volume-output",
        "containerPath": "/volumes/output",
        "readOnly": false
      }
    ],
    "environment": [],
    "ulimits": [],
    "resourceRequirements": [
      {
        "value": "16.0",
        "type": "VCPU"
      },
      {
        "value": "122880",
        "type": "MEMORY"
      }
    ],
    "networkConfiguration": {
      "assignPublicIp": "ENABLED"
    },
    "fargatePlatformConfiguration": {
      "platformVersion": "LATEST"
    },
    "ephemeralStorage": {
      "sizeInGiB": 40
    }
  },
  "tags": {
    "Name": "preprocess__35"
  },
  "platformCapabilities": [
    "FARGATE"
  ]
}

型

如何指定要Map到容器中卷的已装载EFS路径？

这些都不能解决我的问题：
AWS Batch: mount an efs volume into a container using cloud formation
Mounting a volume for AWS Batch的

我得到的错误如下（没有日志文件）：

ResourceInitializationError：无法调用EFS utils命令来设置EFS卷：stderr：b'mount.nfs4：挂载127.0.0.1:/mnt/efs/Fastq/失败，原因由服务器给出：没有这样的文件或目录'：不成功的EFS utils命令执行;产品编号：32