Large-scale indexing system for ITER data handling

ITER, one of the most advanced fusion projects, requires handling massive amounts of data generated in real time and stored in distributed repositories. The diversity in the nature of the data, from control variables to fast acquisition signals, poses significant challenges for efficient access and organization of the information. This paper presents a large-scale indexing system designed to meet these needs. The system, integrated into ITER's CODAC core, implements a distributed and scalable architecture that ensures real-time indexing, robustness, and fault tolerance. Its design, implementation and performance are described here, highlighting its capacity to handle more than one petabyte of data per day and respond in real time to user and system requests. This breakthrough contributes significantly to efficient data handling in long-lived fusion environments.