hyperledgercn / hyperledgerdocs

Hyperledger文档

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hyperledgerdocs's Issues

推荐一个主题,查看文档的时候会相对方便一点 希望采纳

http://mdtools.freelives.cn/05.mkdocs/

有些地方翻译太逐字逐句。

感谢工作组的无私奉献，原文有些细节理解还是比较吃力的，有了这份文档好了很多。

但也发现很多地方过度按照原文逐字逐句来翻译，毕竟中英表达习惯有差异，如此一来阅读上不仅别扭也影响理解。个人不认为只有这样才能保留原文语义的精确和完整，而且官方原文目前看也不见得写的多好。依据翻译者对超级账本技术的理解和开发经验或许能翻译出更顺畅并比原文更好理解的文档，相信翻译的过程效率也会更高，而不必执着于逐字逐句翻译。

再次感谢国际化工作组。

这个翻译是基于哪个代码分支的，发现不是master

建议 : 文档最好按照章节排个序，更好地方便阅读

可以在文档名字中加上自增序号，不然不清楚应该接着看那篇文章。谢谢

Chaincode 开发手册2号终端部分运行chaincode命令和英文原文不对应

中文版为:CORE_PEER_ADDRESS=peer:7051 CORE_CHAINCODE_ID_NAME=mycc:0 ./sacc
英文版为:CORE_PEER_ADDRESS=peer:7052 CORE_CHAINCODE_ID_NAME=mycc:0 ./sacc
经个人实验,英文版命令正确,中文版报错如下:
2018-12-11 14:30:51.307 UTC [shim] setupChaincodeLogging -> INFO 001 Chaincode log level not provided; defaulting to: INF O
2018-12-11 14:30:51.308 UTC [shim] setupChaincodeLogging -> INFO 002 Chaincode (build level: ) starting up ...
2018-12-11 14:30:51.317 UTC [shim] chatWithPeer -> ERRO 003 Received error from server, ending chaincode stream: rpc erro r: code = Unimplemented desc = unknown service protos.ChaincodeSupport
receive failed
github.com/hyperledger/fabric/core/chaincode/shim.chatWithPeer
/opt/gopath/src/github.com/hyperledger/fabric/core/chaincode/shim/chaincode.go:362
github.com/hyperledger/fabric/core/chaincode/shim.Start
/opt/gopath/src/github.com/hyperledger/fabric/core/chaincode/shim/chaincode.go:156
main.main
/opt/gopath/src/chaincode/sacc/sacc.go:94
runtime.main
/opt/go/src/runtime/proc.go:198
runtime.goexit
/opt/go/src/runtime/asm_amd64.s:2361
Error starting SimpleAsset chaincode: receive failed: rpc error: code = Unimplemented desc = unknown service protos.Chain

文字拼写错误

还是现代的有价证券——都任然需要在每次卖出交易过程中提供来源信息，以确保卖方拥有所出售商品的所有权。

https://hyperledgercn.github.io/hyperledgerDocs/blockchain_zh/
当前的记录系统

ubuntu默认pip安装mkdocs后缺失python-markdown-math

ubuntu16.04利用virtualenv全新安装mkdocs后

pip install mkdocs
# 在源码目录里执行，mkdocs serve，会提示ImportError: Failed loading extension 'mdx_math' from 'mdx_math', 'markdown.extensions.mdx_math' or 'mdx_mdx_math'

还需要用pip手动额外安装，方可本地运行

sudo pip install python-markdown-math

更新，默认apt安装也会报类似的错误

是否可以加入

非常好

单词多了空格

Docs » Fabric设计 » 架构说明
Scalability.可扩展性 As the endorser nodes responsible for particular chaincode are orthogonal to the orderers, the system may scale better than if these functions were done by the same nodes. In particular, this results when different chaincodes specify disjoint endorsers, which introduces a partitioning of chaincodes between endorsers and allows parallel chaincode execution (endorsement). Besides, chaincode execution, which can potentially be costly, is rem oved(这里应该是removed？) from the critical path of the ordering service.