How to Optimize Schema Syncing with Metabase: A Guide to Using Nested Subdocuments and Avoiding Mixed/Object/{} Types
Background
Mixed, Object, or {} Type is a special type in MongoDB that allows developers to store heterogeneous data types in a single field.
This can be useful for storing data that does not fit neatly into a specific schema, but it can also create problems that the field is stored as a whole string in the form when syncing data to Metabase. That can not be analyzed well by our BI worker and data engineer. Because we need to follow a defined structure when it shows up clearly in Metabase.
Solution:
To avoid issues with syncing data to Metabase, we recommend the following best practices for MongoDB schema design:
- Use a consistent schema: It is best to define a consistent schema for your data model that closely matches the structure of your data. This makes it easier to extract and transform the data into a consistent Metabase schema.
- Avoid Using Mixed/Object Type: Avoid using Mixed/Object Type in your schema design as much as possible. Instead, define fields based on data types such as String, Number, Boolean, Date, and so on.
- Consider using nested subdocuments instead of Mixed/Object Type if you need to store complex data structures. This allows you to keep a consistent schema and makes extracting and transforming data for Metabase easier.
- Use Mongoose.js validation : Mongoose.js provides built-in validation for schema fields, which can help ensure that your data is consistent and matches the expected schema.
References:
Mongoose.js Mixed Schema Defination: https://mongoosejs.com/docs/schematypes.html#mixed
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