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Why might SOQL queries run faster in a sandbox environment


SOQL Query Performance in Sandbox Environment

1. Data Contiguity: Sandbox environments have contiguous data, which allows for more efficient query execution. This is because the data is copied from the production environment, ensuring that records are stored in a contiguous manner, making it easier for the database to fetch records efficiently[2].

2. Cache and Indexing: Sandbox environments have a smaller cache and index size compared to production environments. This means that the database can quickly access the required data without having to sift through a large cache or index, resulting in faster query execution[2].

3. Hardware Configuration: Sandbox environments are typically configured with less powerful hardware compared to production environments. However, this can also contribute to faster query execution as the database is less loaded and can respond more quickly to queries[2].

4. Data Fragmentation: Production environments often have fragmented data, which can lead to slower query execution. Sandbox environments, on the other hand, have contiguous data, reducing the need for complex joins and improving query performance[2].

5. Query Optimization: Sandbox environments are optimized for query performance. This includes the use of indexes and caching, which are designed to improve query execution speed[2].

Best Practices for Optimizing SOQL Queries

1. Use Indexed Fields: Use indexed fields in the WHERE clause of SOQL queries to improve query performance[1].

2. Avoid NULLS: Avoid using NULLS in queries as it prevents the use of indexes[1].

3. Use Query Filters: Use query filters that can highlight less than 10% of the data to improve query performance[1].

4. Avoid Wildcards: Avoid using wildcards in queries, such as `%`, as it prevents the use of indexes[1].

5. Break Complex Queries: Break complex queries into simple singular queries to use indexes effectively[1].

6. Select Required Fields: Select only the required fields in the SELECT statement to reduce the amount of data fetched and improve query performance[1].

By following these best practices and understanding the differences in SOQL query performance between sandbox and production environments, you can optimize your queries for better performance and efficiency in Salesforce.

Citations:
[1] https://www.apexhours.com/large-data-volumes-ldv-in-salesforce/
[2] https://salesforce.stackexchange.com/questions/42163/performance-difference-between-sandbox-and-production-instances
[3] https://coefficient.io/salesforce-tutorials/how-to-run-soql-query-in-salesforce
[4] https://bluecanvas.io/blog/optimizations-for-salesforce-orgs-with-lots-of-data-part-2
[5] https://trailhead.salesforce.com/trailblazer-community/feed/0D54V00007T4MRBSA3