Astronomy, Petabytes, and MySQL

Kian-Tat Lim (Stanford Linear Accelerator Center)

The Large Synoptic Survey Telescope (LSST) will produce more than 100 petabytes of data when it goes on-line in 2014. All the non-pixel data will be managed by a database. This database is expected to contain some 50 billion astronomical objects, 3 trillion detections of those objects, and all the project’s metadata; a single copy will amount to tens of petabytes.

We explain the proposed LSST database architecture, which provides scalability by building on top of MySQL. The architecture is generic, and, once built, it could be used by others who need to manage extremely large databases.

Kian-Tat Lim

Stanford Linear Accelerator Center

K-T is helping to design and build extremely large databases and data
management systems for the Large Synoptic Survey Telescope and Linac
Coherent Light Source projects. Previously, he spent more than seven
years building extremely large databases, data management systems, and
data mining applications at Yahoo!, Inc.

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