What’s new in PyTables 0.7.2¶
This is a mainly a maintenance release, where the next issues has been addressed:
Fixed a nasty memory leak located on the C libraries (It was occurring during attribute writes). After that, the memory consumption when using large object trees has dropped quite a bit. However, there remains some small leaks that has been tracked down to the underlying numarray library. These leaks has been reported, and hopefully they should be fixed more sooner than later.
Table buffers are built dinamically now, so if Tables are not accessed for reading or writing this memory will not be booked. This will help to reduce the memory consumption.
The opening of files with lots of nodes has been optimized between a factor 2 and 3. For example, a file with 10 groups and 3000 tables that takes 9.3 seconds to open in 0.7.1, now takes only 2.8 seconds.
The Table.read() method has been refactored and optimized and some parts of its code has been moved to Pyrex. In particular, in the special case of step=1, up to a factor 5 of speedup (reaching 160 MB/s on a Pentium4 @ 2 GHz) when reading table contents can be achieved now.
– Francesc Alted email@example.com