Some Liberator queries can return very large result sets, often measured as millions of rows. These queries may take a long time to run. Every dataset has different data frequencies. We suggest using short time frames for limited symbols until you become familiar with the datasets, some of our datasets are very large indeed and thus an over-extended request may result in an extremely large amount of data returned.
💡 Best Practice
Consider running a point-in-time query for one symbol to get an idea of how large your dataset is prior to running other queries.
In the vast majority of cases, dataset queries are either for a point-in-time query or for a time series.
As such, you should aim to become as familiar as you can with these queries early on in your use of the API.
Point-In-Time queries
To specify a point-in-time query, do not provide a “back_to” parameter.
Time Series queries
To specify a time series query, add a “back_to” parameter to your query.
This back_to should be a timestamp that is prior to your “as_of” parameter.
The “as_of” parameter defaults to now.