What can a company do to improve chaincode query throughput in Hyperledger Fabric?

To improve chaincode query throughput in Hyperledger Fabric, optimizing the chaincode logic for better performance is crucial. When the chaincode logic is efficient and well-structured, it can significantly reduce the time taken to process queries. By focusing on streamlining the operations within the chaincode — whether through refining algorithms, reducing unnecessary computations, or caching results — a company can enhance the performance of the query system.

Optimizing chaincode not only boosts the individual transaction speed but also has a cumulative effect on the overall network performance.

Adding peers and increasing channel size or simply adding more peers to the same organization without optimizing the chaincode execution wouldn’t inherently improve throughput. While having more peers might help distribute the load, if the chaincode itself is inefficient, then the benefits will be limited. Additionally, increasing the block size can allow more transactions to be processed in a block, but if the queries themselves are not optimized, the retrieval speed may still suffer.

Therefore, focusing on chaincode optimization aligns with best practices for improving query throughput in Hyperledger Fabric.