1/9/2024 0 Comments Postgresql case statement![]() max_records (optional, default= none): The maximum number of column values you want to return.Setting this as 'my_column' will sort alphabetically, while 'min(created_at)' will sort by when thevalue was first observed. The default is to order by count(*) desc, i.e. order_by (optional, default= 'count(*) desc'): How the results should be ordered.where (optional, default= none): A where clause to filter the column values by.column (required): The name of the column you wish to find the column values of.table (required): a Relation (a ref or source) that contains the list of columns you wish to select from.This macro returns the unique values for a column in a given relation as an array. They are typically abstractions over the statement blocks in dbt. These macros run a query and return the results of the query as objects. Min_value: 0 inclusive: false where: "num_orders > 0 " Max_value: "getdate() " #inclusive is true by default It can be usedįor both numeric values, and datetime values, as follows: This test confirms that a column contains sequential values. Zero_length_range_allowed: true: The upper bound of each record can be greater than or equal to its lower bound. Zero_length_range_allowed: false: (default) The upper bound of each record must be greater than its lower bound. Here are a number of examples for each allowed zero_length_range_allowed argument. Understanding the zero_length_range_allowed argument: ![]() The lower bound of the next record (common for date ranges). Gaps: required: There must be a gap between the upper bound of one record and Record and the lower bound of the next record. Gaps: allowed (default): There may be a gap between the upper bound of one Gaps: not_allowed: The upper bound of one record must be the lower bound of Here are a number of examples for each allowed gaps argument. Lower_bound_column: coalesce(started_at, '') upper_bound_column: coalesce(ended_at, '') partition_by: customer_id gaps: allowed Additional `gaps` and `zero_length_range_allowed` examples To the lower_ and upper_bound_column arguments, like so: If this is not the case in your data source, consider passing a coalesce function Note: Both lower_bound_column and upper_bound_column should be not null. zero_length_range_allowed (optional): Whether ranges can start and end on the same date.gaps (optional): Whether there can be gaps are allowed between ranges.ĭefault='allowed', one_of=.all periods for a single subscription_id are mutually exclusive), use thisĪrgument to indicate which column to partition by. partition_by (optional): If a subset of records should be mutually exclusive.upper_bound_column (required): The name of the column that represents the.lower_bound_column (required): The name of the column that represents the.Lower_bound_column: started_at upper_bound_column: ended_at partition_by: customer_id zero_length_range_allowed: true Lower_bound_column: started_at upper_bound_column: ended_at partition_by: customer_id gaps: required # test that each customer can have subscriptions that start and end on the same date Lower_bound_column: min_age upper_bound_column: max_age gaps: not_allowed # test that each customer can only have one subscription at a time Compatibility matrixįor compatibility details between versions of dbt-core and dbt-utils, see this spreadsheet.Īsserts that two relations have the same number of rows. Installation InstructionsĬheck dbt Hub for the latest installation instructions, or read the docs for more information on installing packages. This dbt package contains macros that can be (re)used across dbt projects.
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