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Dimensions in the aggregation store have an optional property, tableSource, which enables type-ahead search for filters in Yavin.
The format of tableSource is currently tableName.columName where tableName is the name of the Elide model and columName is the name of the attribute within that model that contains valid values for the dimension.
For star and snowflake database schemas, this often requires a join at query time to reference the textual names of dimensions in the query filters.
An alternative approach is for the user to select a dimension by its ID, but leverage other columns in the dimension table for type ahead search.
The proposal is to change tableSource from a string to an object with the following HJSON configuration format:
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Dimensions in the aggregation store have an optional property,
tableSource
, which enables type-ahead search for filters in Yavin.The format of
tableSource
is currentlytableName.columName
where tableName is the name of the Elide model and columName is the name of the attribute within that model that contains valid values for the dimension.For star and snowflake database schemas, this often requires a join at query time to reference the textual names of dimensions in the query filters.
An alternative approach is for the user to select a dimension by its ID, but leverage other columns in the dimension table for type ahead search.
The proposal is to change tableSource from a string to an object with the following HJSON configuration format:
The property,
suggestionColumns
is optional and provides alternate fields to search in conjunction with the primary column.The metadata API will expose a similar structure:
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