{"id":151079,"date":"1992-01-01T00:00:00","date_gmt":"1992-01-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/access-method-concurrency-with-recovery\/"},"modified":"2018-10-16T20:19:47","modified_gmt":"2018-10-17T03:19:47","slug":"access-method-concurrency-with-recovery","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/access-method-concurrency-with-recovery\/","title":{"rendered":"Access Method Concurrency with Recovery"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Providing high concurrency in B+ -trees has been studied extensively. But few efforts have been documented for combining concurrency methods with a recovery scheme that preserves well-formed trees across system crashes. We describe an approach for this that works for a class of index trees that is a generalization of the Blink-tree. A major feature of our method is that it works with a range of different recovery methods. It achieves this by decomposing structure changes in an index tree into a sequence of atomic actions, each one leaving the tree well-formed and each working on a separate level of the tree. All atomic actions on levels of the tree above the leaf level are independent of database transactions, and so are of short duration.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Providing high concurrency in B+ -trees has been studied extensively. But few efforts have been documented for combining concurrency methods with a recovery scheme that preserves well-formed trees across system crashes. We describe an approach for this that works for a class of index trees that is a generalization of the Blink-tree. 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