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Building Queries and Data Views

Factors in Query Performance

Queries can be designed and built to optimize performance. Query performance tuning and optimization can be accomplished through the following approaches:

- Making decisions about what type of query to use based on a consideration of data sources and the nature of the data you are querying.

- Planning and designing the type of query to use and how to implement it based on factors like expected query result size, memory requirements, and ability to leverage stored queries as appropriate.

- Adding standard optimization hints to queries

This section covers some key factors related to performance and memory that you should consider while designing and building queries with the Data View Builder. Examples and recommendations for some typical scenarios and use cases are provided.

See Tuning Performance in Deploying Liquid Data for a broader discussion of factors related to tuning and performance of Liquid Data including query design, data sources, and platform considerations.