Live instructor-led & Self-paced Online Certification Training Courses (Big Data, Hadoop, Spark) › Forums › Hadoop › What are the the issues associated with map and reduce slots based mechanism ? This topic contains 1 reply, has 1 voice, and was last updated by dfbdteam3 1 year, 6 months ago. Viewing 2 posts - 1 through 2 (of 2 total) Author Posts September 20, 2018 at 2:38 pm #5229 dfbdteam3Moderator What are the the issues associated with map and reduce slots based mechanism in Hadoop version 1? September 20, 2018 at 2:38 pm #5231 dfbdteam3Moderator In Hadoop, each MapReduce job is split into the task. Task Tracker run each task on a fixed number of map and reduce slots inside a data node based on a static configuration. Issues associated with map and reduce slots are as follows: In a slot based model, it is hard for non-MapReduce applications to be scheduled appropriately. Slots are wasted, anytime the cluster workload does not fit the static configuration. Jobs never leave their original slots and cannot be moved to free slots Author Posts Viewing 2 posts - 1 through 2 (of 2 total) You must be logged in to reply to this topic.