环境:2台 ubuntu 16.04
角色列表
角色 | IP地址 | 宿主端口 | docker端口 |
peer0.org1.example.com | 47.93.249.250 | 7051 | 7051 |
peer1.org1.example.com | 47.93.249.250 | 7051 | 8051 |
peer0.org2.example.com | 47.93.249.250 | 7051 | 9051 |
peer1.org2.example.com | 47.93.249.250 | 7051 | 10051 |
cli | 47.93.249.250 | NULL | NULL |
orderer.example.com | 47.94.244.156 | 7050 | 7050 |
- 环境初始化
2台机器的fabric 环境初始化方法,读者参考作者之前写的一片文章:http://www.cnblogs.com/chenfool/p/8353425.html,并且确保两台机器都能够正常运行 e2e_cli 的测试程序。
在完成e2e_cli 程序的测试后,读者一定要清理环境。
./network_setup.sh down mychannel
- 分布式部署(1)
按照角色列表,首先在 47.94.244.156 机器上,目录切换到 /opt/gopath/src/github.com/hyperledger/fabric/examples/e2e_cli ,然后复制一份 docker-compose 的配置文件
cp docker-compose-cli.yaml docker-compose-test.yaml
对 docker-compose-test.yaml 配置进行修改,修改后的内容如下
# Copyright IBM Corp. All Rights Reserved. # # SPDX-License-Identifier: Apache-2.0 # version: ‘2‘ services: orderer.example.com: extends: file: base/docker-compose-base.yaml service: orderer.example.com container_name: orderer.example.com
执行以下命令,生成公私钥、证书、创世区块等,该命令执行后,会在本地生成 channel-artifacts 和 crypto-config 目录。
读者这里需要注意一下,在执行 generateArtifacets.sh 脚本时,需要确保 channel-artifacts 目录已经存在,否则可能会报错
chmod 755 generateArtifacts.sh ./generateArtifacts.sh mychannel
将channel-artifacts 和 crypto-config 目录文件拷贝到 47.93.249.250 机器的相同目录
scp -r crypto-config root@47.93.249.250:/opt/gopath/src/github.com/hyperledger/fabric/examples/e2e_cli scp -r channel-artifacts root@47.93.249.250:/opt/gopath/src/github.com/hyperledger/fabric/examples/e2e_cli
启动docker 进程
docker-compose -f docker-compose-test.yaml up -d
docker 进程启动后,读者可以通过以下命令查看正在运行的进程
docker ps
- 分布式部署(2)
读者此时在 47.93.249.250 机器上切换目录到 /opt/gopath/src/github.com/hyperledger/fabric/examples/e2e_cli,同样的复制一份docker-compose 的配置文件
cp docker-compose-cli.yaml docker-compose-test.yaml
对 docker-compose-test.yaml 配置进行修改,修改后的内容如下
# Copyright IBM Corp. All Rights Reserved. # # SPDX-License-Identifier: Apache-2.0 # version: ‘2‘ services: peer0.org1.example.com: container_name: peer0.org1.example.com extends: file: base/docker-compose-base.yaml service: peer0.org1.example.com extra_hosts: - "orderer.example.com:172.17.230.228" peer1.org1.example.com: container_name: peer1.org1.example.com extends: file: base/docker-compose-base.yaml service: peer1.org1.example.com extra_hosts: - "orderer.example.com:172.17.230.228" - "peer0.org1.example.com:172.17.230.229" peer0.org2.example.com: container_name: peer0.org2.example.com extends: file: base/docker-compose-base.yaml service: peer0.org2.example.com extra_hosts: - "orderer.example.com:172.17.230.228" peer1.org2.example.com: container_name: peer1.org2.example.com extends: file: base/docker-compose-base.yaml service: peer1.org2.example.com extra_hosts: - "orderer.example.com:172.17.230.228" - "peer0.org2.example.com:172.17.230.229" cli: container_name: cli image: hyperledger/fabric-tools tty: true environment: - GOPATH=/opt/gopath - CORE_VM_ENDPOINT=unix:///host/var/run/docker.sock - CORE_LOGGING_LEVEL=DEBUG - CORE_PEER_ID=cli - CORE_PEER_ADDRESS=peer0.org1.example.com:7051 - CORE_PEER_LOCALMSPID=Org1MSP - CORE_PEER_TLS_ENABLED=true - CORE_PEER_TLS_CERT_FILE=/opt/gopath/src/github.com/hyperledger/fabric/peer/crypto/peerOrganizations/org1.example.com/peers/peer0.org1.example.com/tls/server.crt - CORE_PEER_TLS_KEY_FILE=/opt/gopath/src/github.com/hyperledger/fabric/peer/crypto/peerOrganizations/org1.example.com/peers/peer0.org1.example.com/tls/server.key - CORE_PEER_TLS_ROOTCERT_FILE=/opt/gopath/src/github.com/hyperledger/fabric/peer/crypto/peerOrganizations/org1.example.com/peers/peer0.org1.example.com/tls/ca.crt - CORE_PEER_MSPCONFIGPATH=/opt/gopath/src/github.com/hyperledger/fabric/peer/crypto/peerOrganizations/org1.example.com/users/Admin@org1.example.com/msp working_dir: /opt/gopath/src/github.com/hyperledger/fabric/peer #command: /bin/bash -c ‘./scripts/script.sh ${CHANNEL_NAME}; sleep $TIMEOUT‘ volumes: - /var/run/:/host/var/run/ - ../chaincode/go/:/opt/gopath/src/github.com/hyperledger/fabric/examples/chaincode/go - ./crypto-config:/opt/gopath/src/github.com/hyperledger/fabric/peer/crypto/ - ./scripts:/opt/gopath/src/github.com/hyperledger/fabric/peer/scripts/ - ./channel-artifacts:/opt/gopath/src/github.com/hyperledger/fabric/peer/channel-artifacts depends_on: - peer0.org1.example.com - peer1.org1.example.com - peer0.org2.example.com - peer1.org2.example.com extra_hosts: - "orderer.example.com:172.17.230.228" - "peer0.org1.example.com:172.17.230.229" - "peer1.org1.example.com:172.17.230.229" - "peer0.org2.example.com:172.17.230.229" - "peer1.org2.example.com:172.17.230.229"
启动该台机器的docker 相关服务
docker-compose -f docker-compose-test.yaml up -d
docker 进程启动后,读者可以通过以下命令查看正在运行的进程
docker ps
此时屏幕上将输出的类似如下信息
读者可以看到docker中的服务映射的端口号的区别,然后针对不同的docker 服务,继续修改 scripts/script.sh 脚本中的 setGlobals 函数(大约是32行)中,各个docker 服务的端口号
vi scripts/script.sh
setGlobals () { if [ $1 -eq 0 -o $1 -eq 1 ] ; then CORE_PEER_LOCALMSPID="Org1MSP" CORE_PEER_TLS_ROOTCERT_FILE=/opt/gopath/src/github.com/hyperledger/fabric/peer/crypto/peerOrganizations/org1.example.com/peers/peer0.org1.example.com/tls/ca.crt CORE_PEER_MSPCONFIGPATH=/opt/gopath/src/github.com/hyperledger/fabric/peer/crypto/peerOrganizations/org1.example.com/users/Admin@org1.example.com/msp if [ $1 -eq 0 ]; then CORE_PEER_ADDRESS=peer0.org1.example.com:7051 else CORE_PEER_ADDRESS=peer1.org1.example.com:8051 fi else CORE_PEER_LOCALMSPID="Org2MSP" CORE_PEER_TLS_ROOTCERT_FILE=/opt/gopath/src/github.com/hyperledger/fabric/peer/crypto/peerOrganizations/org2.example.com/peers/peer0.org2.example.com/tls/ca.crt CORE_PEER_MSPCONFIGPATH=/opt/gopath/src/github.com/hyperledger/fabric/peer/crypto/peerOrganizations/org2.example.com/users/Admin@org2.example.com/msp if [ $1 -eq 2 ]; then CORE_PEER_ADDRESS=peer0.org2.example.com:9051 else CORE_PEER_ADDRESS=peer1.org2.example.com:10051 fi fi env |grep CORE }
将最新的 scripts/script.sh 脚本上传到docker 的cli 镜像中
注意:c05d72aef89b 是作者docker 的cli 容器编号,具体使用方法可以参考:http://blog.csdn.net/u011596455/article/details/76862271
docker cp scripts/script.sh c05d72aef89b:/opt/gopath/src/github.com/hyperledger/fabric/peer/scripts/
- init fabric 集群环境
选择其中一台机器进入docker cli 镜像的shell 环境,作者选择了 47.93.249.250 进行操作
docker exec -it cli bash
再执行script.sh 脚本
./scripts/script.sh mychannel
然后集群就开始真正的初始化,等待所有的操作都结束后,将出现如下信息
到这里,fabric 的集群环境就部署好了,如果读者想部署更多机器的fabric 环境,也可以照葫芦画瓢地进行配置和部署
参考博客:
http://www.cnblogs.com/aberic/p/7541470.html
http://www.cnblogs.com/aberic/p/7542167.html
http://blog.csdn.net/u011596455/article/details/76862271