How is chain code execution handled in Hyperledger Fabric?

In Hyperledger Fabric, chaincode execution is indeed partitioned from transaction ordering, which serves to enhance scalability. This means that the execution of chaincode—where the business logic is applied to the transactions—occurs in parallel with the ordering of transactions. By separating these processes, the network can more effectively manage resources and handle greater volumes of transactions without becoming bottlenecked.

Transaction ordering in Hyperledger Fabric is done by the ordering service and is responsible for establishing the order of transactions that will be added to the ledger. By decoupling this from chaincode execution, it allows for a design where multiple transactions can be processed at the same time, significantly improving overall throughput. This partitioning is key to the architecture of Hyperledger Fabric, allowing for greater flexibility in how transactions are handled across different channels and making the system more robust in handling a large scale of operations.

The other choices do not accurately reflect the architecture of Hyperledger Fabric. For instance, integration with transaction ordering for efficiency would imply a tightening of the processes, which contradicts the benefits of scalability provided by their separation. Complete isolation from transaction processing does not accurately represent the interrelations in Hyperledger Fabric as chaincode must interact with the most recent ledger state to execute effectively. Lastly,