Database design for a survey
Start with a survey database having four key tables: Surveys
, Questions
, Survey_Questions
, and Responses
. The Survey_Questions
is a junction table, connecting surveys to questions, catering to many-to-many relationships. Register answers in Responses
using foreign keys for maintaining relationships between user responses with respective questions.
Aim for a flexible design that's query-friendly, optimizing for regular survey tasks and data crunching.
Designing for versatile question types
Expanding on the basic answer, factor in a wide palette of question types. Surveys may include multiple-choice, text responses, ratings, and even media uploads. It's paramount to build a system that can handle different forms of answers.
An Answer_Options
table can manage additional option sets for predefined options:
Navigating interactive survey experience
To personalize a survey, tables can be put in to define and handle conditional logic paths:
This enables the survey to adapt questions based on prior responses by storing trigger responses and follow-up questions.
Scales for large data sets
A hybrid storage approach can be necessary for scaling scenarios and complexity. Use JSON strings for less structured data, leveraging JSON capabilities of modern databases like SQL Server or PostgreSQL.
When dealing with heavy data usage, consider data archiving methods to avoid a performance drop and maintaining indexes on commonly queried fields.
Optimizing for data analysis
In a survey database, generating summary data can be resource-heavy. Schedule jobs to compute summary data while off-peak to enhance system performance.
Additionally, give thought to a dedicated analytics table:
Store pre-computed metrics, for faster access during reports.
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