Interfacing MongoDB in to ECL
This project was completed by Jack Del Vecchio during the 2022 intern program.
See her poster showcasing his work
Project Description
The HPCC Systems platform currently supports embedding Python, Java, Javascript, R, MySQL and C++ and Cassandra code.The goal of this project is to support MongoDB by allowing the embedding of MongoDB database queries within ECL code running on HPCC Systems.
One of the challenges of this project, is to address how an external key-value store interacts with a distributed thor query so that the external datastore acts like a distributed file read by each node in the thor or where only a portion of a result is written. This is currently something the HPCC Systems developers are looking at and are actively discussing but have not resolved.
Additional languages are added to the system via a “plugin” system, and one of the existing plugins such as MySQL (available here), or Python (available here). Use these as examples of the sort of work required. Each completed plugin is considered to be a new feature addition to the HPCC Platform.
Completion of this project involves:
Investigating the API for calling MongoDB from C/C++.
Creating a simple wrapper for scalar values between the ECL embed API and the MongoDB API using one of the existing embed plugin implementations as an example.
Extending the simple wrapper to handle structured data.
In parallel with the above, developing test cases for the plugin that include coverage of all data types both passed in and returned, including multi-threaded access from the ECL side. This includes testing the performance and throughput of the system for some examples that approximate to real-world usage.
By the mid term review we would expect you to have:
Implemented a simple example that passes and returns scalar values (which are usually much simpler than passing/returning structures).
Skills needed |
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Deliverables | Midterm
End of project
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Other resources |
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