Type | Read/write | Author | Availability |
|---|---|---|---|
Read | FINBOURNE | Provided with LUSID |
The Lusid.RelationalDataset.Definition provider enables you to write a Luminesce SQL query that retrieves information about relational dataset definitions (RDDs).
One row is returned for each SeriesIdentifier, Value and Metadata field in each RDD.
See also: Lusid.RelationalDataset.Definition.Writer
Basic usage
select * from Lusid.RelationalDataset.Definition where <filter-expression>;Query parameters
Lusid.RelationalDataset.Definition has parameters that enable you to filter or refine a query.
To list available parameters, their data types, default values, and an explanation for each, run a query like this one using a suitable tool:
select FieldName, DataType, ParamDefaultValue, Description from Sys.Field
where TableName = 'Lusid.RelationalDataset.Definition' and FieldType = 'Parameter';Data fields
By default, Lusid.RelationalDataset.Definition returns a table of data populated with particular fields (columns). You can return a subset of these fields.
To list fields available to return, their data types, whether fields are considered 'main', and an explanation for each, run a query like this one using a suitable tool:
select FieldName, DataType, IsMain, IsPrimaryKey, SampleValues, Description from Sys.Field
where TableName = 'Lusid.RelationalDataset.Definition' and FieldType = 'Column';Note: Fields marked 'main' are returned by queries that select a caret character, for example
select ^ from Lusid.RelationalDataset.Definition
Examples
Note: For more example Luminesce SQL queries, visit our Github repo.
Example 1: Retrieve every field for every RDD
select * from Lusid.RelationalDataset.Definition;Example 2: Retrieve the fields for a particular RDD
select * from Lusid.RelationalDataset.Definition
where Scope = 'MyRDDs' and Code = 'Addresses';Example 3: Retrieve one row per RDD
You can pivot the results through the Tools.Pivot provider to display fields as columns, reducing the number of rows and possibly making the results more intuitive:
@results = select * from Lusid.RelationalDataset.Definition;
@pivoted_results = use Tools.Pivot with @results
--key=FieldName
--aggregateColumns=FieldCategory,FieldRequired,FieldDataTypeScope,FieldDataTypeCode,FieldDisplayName,FieldDescription
enduse;
select * from @pivoted_results;