bdb supports diffs...
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@ -1733,8 +1733,8 @@ significantly better than Berkeley DB's with both filesystems.}
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%more of \yad's internal APIs. Our choice of C as an implementation
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%language complicates this task somewhat.}
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\rcs{Is the graph for the next paragraph worth the space?}
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\eab{I can combine them onto one graph I think (not 2).}
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%\rcs{Is the graph for the next paragraph worth the space?}
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%\eab{I can combine them onto one graph I think (not 2).}
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%
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%The final test measures the maximum number of sustainable transactions
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%per second for the two libraries. In these cases, we generate a
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@ -1761,8 +1761,10 @@ general purpose structures when applied to an appropriate application.
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This finding suggests that it is appropriate for
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application developers to consider the development of custom
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transactional storage mechanisms when application performance is
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important. The next two sections are devoted to developing such mechanisms,
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confirming their practicality.
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important. The next two sections are devoted to confirming the
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practicality of such mechanisms by applying them to applications
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that suffer from long-standing performance problems with layered
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transactional systems.
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%This section uses:
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@ -1876,7 +1878,10 @@ memory pressure.}
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to object serialization. First, since \yad supports
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custom log entries, it is trivial to have it store deltas to
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the log instead of writing the entire object during an update.
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Such an optimization would be difficult to achieve with Berkeley DB,
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Such an optimization would be difficult to achieve with Berkeley DB
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since its record diffing mechanism assumes that changes span contiguous
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byte ranges, and this may not be the case for arbitrary object updates.
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\rcs { MIKE IMPLEMENTED THIS! FIXME }
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but could be performed by a database server if the fields of the
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objects were broken into database table columns.
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\footnote{It is unclear if
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