Hyperledger Fabric 1.1 Documentationpeers keep the current channel configuration in memory to facilitate all channel operations such as cutting a new block and validating block transactions. Because configurations are stored in blocks, updating The amount of time to wait after the first transaction arrives for additional transactions before cutting a block. Decreasing this value will improve latency, but decreasing it too much may decrease throughput0 码力 | 422 页 | 4.84 MB | 1 年前3
Hyperledger Fabric 1.1 Documentationpeers keep the current channel configuration in memory to facilitate all channel operations such as cutting a new block and validating block transactions. Because configurations are stored in blocks, updating The amount of time to wait after the first transaction arrives for additional transactions before cutting a block. Decreasing this value will improve latency, but decreasing it too much may decrease throughput0 码力 | 277 页 | 3.21 MB | 1 年前3
Hyperledger Fabric 1.2 Documentationpeers keep the current channel configuration in memory to facilitate all channel operations such as cutting a new block and validating block transactions. Because configurations are stored in blocks, updating The amount of time to wait after the first transaction arrives for additional transactions before cutting a block. Decreasing this value will improve latency, but decreasing it too much may decrease throughput0 码力 | 335 页 | 4.48 MB | 1 年前3
Hyperledger Fabric 1.2 Documentationpeers keep the current channel configuration in memory to facilitate all channel operations such as cutting a new block and validating block transactions. Because configurations are stored in blocks, updating The amount of time to wait after the first transaction arrives for additional transactions before cutting a block. Decreasing this value will improve latency, but decreasing it too much may decrease throughput0 码力 | 497 页 | 6.59 MB | 1 年前3
Hyperledger Fabric 1.3 Documentationpeers keep the current channel configuration in memory to facilitate all channel operations such as cutting a new block and validating block transactions. Because configurations are stored in blocks, updating The amount of time to wait after the first transaction arrives for additional transactions before cutting a block. Decreasing this value will improve latency, but decreasing it too much may decrease throughput0 码力 | 528 页 | 6.85 MB | 1 年前3
Hyperledger Fabric 1.3 Documentationpeers keep the current channel configuration in memory to facilitate all channel operations such as cutting a new block and validating block transactions. Because configurations are stored in blocks, updating The amount of time to wait after the first transaction arrives for additional transactions before cutting a block. Decreasing this value will improve latency, but decreasing it too much may decrease throughput0 码力 | 367 页 | 4.95 MB | 1 年前3
Hyperledger Fabric 1.4.8 Documentationpeers keep the current channel configuration in memory to facilitate all channel operations such as cutting a new block and validating block transactions. Because configurations are stored in blocks, updating The amount of time to wait after the first transaction arrives for additional transactions before cutting a block. Decreasing this value will improve latency, but decreasing it too much may decrease throughput0 码力 | 699 页 | 9.02 MB | 1 年前3
Hyperledger Fabric 1.4.9 Documentationpeers keep the current channel configuration in memory to facilitate all channel operations such as cutting a new block and validating block transactions. Because configurations are stored in blocks, updating The amount of time to wait after the first transaction arrives for additional transactions before cutting a block. Decreasing this value will improve latency, but decreasing it too much may decrease throughput0 码力 | 483 页 | 7.48 MB | 1 年前3
Hyperledger Fabric 1.4.9 Documentationpeers keep the current channel configuration in memory to facilitate all channel operations such as cutting a new block and validating block transactions. Because configurations are stored in blocks, updating The amount of time to wait after the first transaction arrives for additional transactions before cutting a block. Decreasing this value will improve latency, but decreasing it too much may decrease throughput0 码力 | 701 页 | 9.02 MB | 1 年前3
Hyperledger Fabric 1.4 Documentationpeers keep the current channel configuration in memory to facilitate all channel operations such as cutting a new block and validating block transactions. Because configurations are stored in blocks, updating The amount of time to wait after the first transaction arrives for additional transactions before cutting a block. Decreasing this value will improve latency, but decreasing it too much may decrease throughput0 码力 | 483 页 | 7.48 MB | 1 年前3
共 42 条
- 1
- 2
- 3
- 4
- 5













