fabric镜像安装脚本分析

#!/bin/bash
#
# Copyright IBM Corp. All Rights Reserved.
#
# SPDX-License-Identifier: Apache-2.0
#

export VERSION=1.0.0-beta
export ARCH=$(echo "$(uname -s|tr '[:upper:]' '[:lower:]'|sed 's/mingw64_nt.*/windows/')-$(uname -m | sed 's/x86_64/amd64/g')" | awk '{print tolower($0)}')
#Set MARCH variable i.e ppc64le,s390x,x86_64,i386
MARCH=`uname -m`

dockerFabricPull() {
  local FABRIC_TAG=$1
  for IMAGES in peer orderer couchdb ccenv javaenv kafka tools zookeeper; do
      echo "==> FABRIC IMAGE: $IMAGES"
      echo
      docker pull hyperledger/fabric-$IMAGES:$FABRIC_TAG
      docker tag hyperledger/fabric-$IMAGES:$FABRIC_TAG hyperledger/fabric-$IMAGES
  done
}

dockerCaPull() {
      local CA_TAG=$1
      echo "==> FABRIC CA IMAGE"
      echo
      docker pull hyperledger/fabric-ca:$CA_TAG
      docker tag hyperledger/fabric-ca:$CA_TAG hyperledger/fabric-ca
}

: ${CA_TAG:="$MARCH-$VERSION"}
: ${FABRIC_TAG:="$MARCH-$VERSION"}

echo "===> Downloading platform binaries"
curl https://nexus.hyperledger.org/content/repositories/releases/org/hyperledger/fabric/fabric-binary/${ARCH}-${VERSION}/fabric-binary-${ARCH}-${VERSION}.tar.gz | tar xz

echo "===> Pulling fabric Images"
dockerFabricPull ${FABRIC_TAG}

echo "===> Pulling fabric ca Image"
dockerCaPull ${CA_TAG}
echo
echo "===> List out hyperledger docker images"
docker images | grep hyperledger*
VERSION:将要安装的fabric的版本
ARCH:取得操作系统类型,例如linux-amd64
MARCH:取得操作系统位数


下载相关的脚本,与镜像本身没有关系
curl https://nexus.hyperledger.org/content/repositories/releases/org/hyperledger/fabric/fabric-binary/${ARCH}-${VERSION}/fabric-binary-${ARCH}-${VERSION}.tar.gz | tar xz
调用dockerFabricPull函数下载镜像,镜像包括:
peer orderer couchdb ccenv javaenv kafka tools zookeeper
docker pull hyperledger/fabric-$IMAGES:$FABRIC_TAG
docker tag hyperledger/fabric-$IMAGES:$FABRIC_TAG hyperledger/fabric-$IMAGES

      docker pull  镜像名:版本    (pull下载,会从镜像库自动下载镜像到本机)

      docker tag   镜像名:版本  镜像名    (tag重命名,如果不给版本号的话,会当作latest版本,后续使用的时候,也不用加版本号了)


调用
dockerCaPull函数下载ca镜像。过程同上。

docker images 显示现有的所有镜像

原文地址:https://www.cnblogs.com/maobuji/p/7092749.html