Comments (13)
Emm, I can't see why there is such big performance difference.
Are you starting all nodes on the same machine in kafka mode? If yes, have you checked the system resources(cpu, memory) to see if the resources are exhausted? Also you can reduce the sending rate for example to 300 to see if fabric can handle and you can also test for a longer time to avoid possible cold start.
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1、4 machine
2、sending rate set to 40
3、cpu loading < 50% ,memory loading< 40%
4、caliper send TS failed and TPS is very low.
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I had changed the sending rate to 300,200,150,100,80,50,40 and so on, unable to promoted the TPS.
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@BeanChan1987 您好,请问您是怎么用 caliper 来测试多个 Orderer 节点的 fabric 网络的呢?网络配置文件 fabric.json 文件中的 orderer 部分该如何配置啊?
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hello, is there some details in how to fill the fabric.json file to test the performance under kafka mode?
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@shiningfrog The current Fabric adapter only supports a single orderer node. Check out PR #296 that supports multiple orderer endpoints. Not merged yet, and any feedback is welcome!
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hello, i've clone this tree and tesed in multi orderers. when i try to test tps in my own fabirc network(1.2 kafka) , i got this error in Instantiating Step(installing ok) :'commit timeout for simple@v0' in XXX_channel for peer1.org2.example.com. i want to know if this is caused by the smart contract? @aklenik
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@shiningfrog Check the peer logs or the chaincode container log for details.
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thank you. now the contract 'simple@v0' has instantiated in mychannel(i create a fabric network with 2 orderers and 4 peers, 2 orgs). but there is another problrm: [ChannelEventHub.js]: _connect - timed out after:45000 and unable to connect to the peer event hub.
i use fabric-1.2 to build up the whole network. is there any advice for me? @aklenik
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@shiningfrog Hmm, it looks like that the transactions are not even processed. But it seems that the peers are available as an endpoint. Can you check the peer logs whether they're started successfully? The eventhub connect timeout suggest some peer errors
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@shiningfrog Did you resolve this error?
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@aklenik thank you very much!.sometimes it works well, but sometimes it doesn't. if i create a new chain network, this problrm fixed itself. however when i test in the same chain, the problem raises again. i cannot see any error in peer logs and orderer logs.
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@shiningfrog If you test it on an already running network, make sure you don't try to create channels again, and there is no conflict between the tests if you run them again without clearing their effects.
Since the testing of multiple orderers works, I'm closing this issue. If you run into any problem, open a new issue, with the detailed error logs from the network side.
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Related Issues (20)
- A Tutorial for using Besu similar to the Fabric tutorial HOT 2
- A Detailed Description about the use of the various Monitors, especially Prometheus HOT 1
- A Tutorial demonstrating using Prometheus and Grafana with Caliper HOT 1
- Missing Link: Deploy Hyperledger Caliper HOT 3
- Add a dummy connector to facilitate testing of caliper (also useful for build automation)
- Add unit tests for caliper-cli HOT 3
- Add unit tests for caliper-ethereum HOT 5
- Increase the unit test coverage for caliper-core HOT 3
- Documentation of the Ethereum Connector does not appear to match the implementation HOT 4
- A Tutorial on the use of declaritive workloads HOT 3
- When I increase the TPS, exceeding 110, errors occur,”Transaction nonce is too distant from current sender nonce“ or "Transaction nonce is too low"
- [Enhancement]: Increase test coverage of fixedRate controller. HOT 4
- ESLint `linebreak-style` Configuration Causes Errors on WindowsOS HOT 6
- Adding option to specify constructor arguments for contract deployment on Ethereum Connector HOT 1
- Add details around SmartBFT for fabric and the fact that the legacy 1.4 and 2.2 Fabric SDKs are unlikely to work
- Remove the Caliper Flow Control system HOT 1
- Caliper generator doesn't support the fixed-load rate controller
- Caliper ethereum documentation needs a complete overhaul HOT 6
- Interface on use of releaseContext and actual use differ, plus use of getContext/releaseContext doesn't seem correct within a worker
- Test flake in unit tests HOT 1
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