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These processes have been moderately predictable, and tolerated some parallelization earlier on. Performance has declined as the overall triple count (size of the database) has grown. We have experienced significantly degraded performance, but haven't been able to isolate the conditions that cause this.
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With a small triple count, we found that these processes ran at a similar speed, and had similar performance characteristics, to those described in the mapping section. As the dataset has scaled, the base cost of these operations has increased. Also, these processes have become subject to the database locking issues described in the other Marmotta subsections.
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