Postrelease
Talks
Talks archive
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Марат Фаттахов BARS group
Dmitry Boikov BARS groupFirst working on Oracle, we could not ignore appearance and growth of PostgreSQL. I will describe how we came to PostgreSQL and share some experience of migrating a large medical system.
- developing a code converter;
- packages migration;
- our patches solving some of the migration problems.
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Anastasia Lubennikova PostgresProB-tree is the most widely used index type in PostgreSQL. This data structure and concerned algorithms are developed about forty years ago. But there is still an area for optimisations. In this presentation I'm going to talk about B-tree data structure, and its features important for the optimal index usage. Furthermore, I'll present a couple of new features which are expected to be included in PostgreSQL 9.6 release.
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Andres Freund Citus DataPostgresql's buffer manager has parts where it's showing its age. We'll discuss how it currently works, what problems there are, and what attempts are in progress to rectify its weaknesses.
- Lookups in the buffer cache are expensive
- The buffer mapping table is organized as a hash table, which makes efficient implementations of prefetching, write coalescing, dropping of cache contents hard
- Relation extension scales badly
- Cache replacement is inefficient
- Cache replacement replaces the wrong buffers
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