How to reduce execution time of graphql data fetching?

@darrion.kuhn 

1. Limit the amount of data fetched: Only request the data that is needed for a specific query. Avoid requesting unnecessary data that will not be used.
2. Optimize the database queries: Ensure that database queries are optimized and indexed to retrieve data efficiently. Use tools like database indexes and query caching to speed up data retrieval.
3. Use caching: Implement caching mechanisms to store and reuse previously fetched data. This can help reduce the number of queries and improve execution time.
4. Batch queries: Group multiple queries into a single request using batching techniques. This can reduce the number of HTTP requests and improve overall performance.
5. Use GraphQL query optimization tools: Utilize tools like DataLoader or Apollo Client optimizations to reduce the number of duplicate data requests and improve data fetching performance.
6. Implement pagination: Limit the number of records returned in each query by implementing pagination. This can help reduce the amount of data fetched in a single request and improve execution time.
7. Use server-side optimizations: Ensure that the GraphQL server is optimized for performance by using efficient data fetching techniques, reducing unnecessary processing, and optimizing resource usage.
8. Monitor performance: Monitor and analyze the performance of GraphQL data fetching using tools like GraphQL analytics to identify bottlenecks and areas for improvement. Make adjustments based on performance data to optimize data fetching.