rethinkdb/rethinkdb v2.1.5-2

2.1.5 — Forbidden Planet

on GitHub

Bug fix release

Note: If you are building RethinkDB from source and you have built older versions of RethinkDB before, you might need to run make clean before building RethinkDB 2.1.5.

Compatibility

• RethinkDB 2.1.5 servers cannot be mixed with servers running RethinkDB 2.1.4 or earlier
  in the same cluster

Bug fixes

• Fixed a memory corruption bug that caused segmentation faults on some systems
  (#4917)
• Made the build system compatible with OS X El Capitan (#4602)
• Fixed spurious "Query terminated by rethinkdb.jobs table" errors (#4819)
• Fixed an issue that caused changefeeds to keep failing after a table finished
  reconfiguring (#4838)
• Fixed a race condition that resulted in a crash with the message
  std::terminate() called without any exception. when losing a cluster connection
  (#4878)
• Fixed a segmentation fault in the mark_ready() function that could occur when
  reconfiguring a table (#4875)
• Fixed a segmentation fault when using changefeeds on orderBy.limit queries (#4850)
• Made the Data Explorer handle changefeeds on orderBy.limit queries correctly (#4852)
• Fixed a "Branch history is incomplete" crash when reconfiguring a table repeatedly in
  quick succession (#4866)
• Fixed a problem that caused indexStatus to report results for additional indexes that
  were not specified in its arguments (#4868)
• Fixed a segmentation fault when running RethinkDB on certain ARM systems (#4839)
• Fixed a compilation issue in the UTF-8 unit test with recent versions of Xcode (#4861)
• Fixed an Assertion failed: [ptr_] error when reconfiguring tables quickly with a
  debug-mode binary (#4871)
• Improved the detection of unsupported values in r.js functions to avoid a
  Guarantee failed: [!key.IsEmpty() && !val.IsEmpty()] crash in the worker process
  (#4879)
• Fixed an unitialized data access issue on shutdown (#4918)

Performance improvements

• Improved the performance of getAll queries that fetch multiple keys at once (#1526)
• Optimized the distribution of tasks across threads on multi-core servers (#4905)