mrs-mapreduce

ID Status Summary
17 New Feature: Counters Type-Defect Priority-Medium
16 Accepted Feature: start reduce tasks before all maps are completed Type-Enhancement Priority-Medium
15 Accepted Feature: cache data in unserialized form Type-Enhancement Priority-Medium
14 Accepted Feature: Add a join_data dataset Type-Enhancement Priority-Medium
13 Accepted Speed up the schedule method Type-Defect Priority-Medium
12 Accepted Reduce the amount of data sent between processes Type-Defect Priority-Medium
11 WontFix Feature: download the inputs to a task in parallel Type-Enhancement Priority-Medium
10 Fixed Feature: cap the number of failures per task Type-Enhancement Priority-Medium
9 Fixed KeyError in master when removing a task from _remaining_tasks Type-Defect Priority-Medium
8 Accepted Add optional RPC mechanisms Type-Enhancement Priority-Medium
7 Accepted Feature request: a SingleMachine mrs implementation Type-Enhancement Priority-Medium
6 Fixed Bug (with fix): output file is empty Type-Defect Priority-Medium
5 Accepted Checkpointing Type-Enhancement Priority-Medium
4 Fixed The version number should just be in one place Type-Defect Priority-Medium
3 Fixed Python 3 Support Type-Enhancement Priority-Medium
2 Fixed Documentation with Sphinx Type-Enhancement Priority-Medium Component-Docs
1 Fixed Refactor the mrs library into a subdirectory Type-Defect Priority-Medium