InterSystems IRIS Document Database (DocDB) offers a flexible and dynamic approach to managing database data. DocDB embraces the power of JSON (JavaScript Object Notation), providing a schema-less environment for storing and retrieving data.
It is a powerful tool, enables developers to bypass a ton of boiler plate code in interaction with existing applications, serialization, pagination and integration. the seamless flow of DocDB with Interoperability Rest services and operations, gives a big leap in API production and management.
for full DocDB documentation Here. in the context of this article i will showcase a use case in which DocDB will make a perfect fit.
in order to do analysis on huge data volumes, it is better to take you data to a separate machine for analysis away from the operational machine, so trying to write huge globals or tables into files as is would take a huge space, what could be a solution or best practice ?..in python for instance, there is the pickling option (serializes data to byte string and saves it to a file) to save space, what could be best in object script ?
Pyodbc supports calling stored procedure , but if the IRIS Stored Procedure ROWSPEC has a column with datatype specified as %Date or %Time, Pyodbc fails to fetch it and throws this error.