Performance considerations
- Last Updated: May 13, 2025
- 1 minute read
- DataDirect Connectors
- JDBC
- GitHub 6.0
- Documentation
FetchSize: FetchSize can be used to adjust the trade-off between throughput and response time. In general, setting larger values for FetchSize will improve throughput, but can reduce response time. You should set FetchSize to suit your environment. Smaller fetch sizes can improve the initial response time of the query. Larger fetch sizes improve overall fetch times at the cost of additional memory.
ReadAhead: The ReadAhead property
allows you to issue multiple fetch requests in parallel. By increasing this number, you
can improve throughput and performance, but it does so with the following restrictions:
- Larger values can increase the load on the server, which may adversely affect performance of other users. If you encounter issues, decrease the value specified for this option.
- Larger values may result in unnecessary requests if your application only requires the first few rows of results. This may be an issue if your service places limits on the number of web requests.
CAUTION: Due to potential impacts to other users, we
strongly recommend specifying only smaller values for the ReadAhead property. For
example, in fully optimized environments, which include exceptionally fast
connections and low latency, we recommend a setting of no higher than
5. For typical environments, this value is sometimes
lower.