Ryu Kobayashi from Treasure Data gave a presentation on using YARN (Yet Another Resource Negotiator) with Hadoop. Some key points:
- YARN was introduced to improve Hadoop resource management by separating processing from scheduling.
- Configuration changes are required when moving from MRv1 to YARN, including properties for memory allocation and scheduler configuration.
- Container execution, directories, and other components were adapted in the transition from JobTracker to the ResourceManager and NodeManager architecture in YARN.
- Proper configuration of YARN is important to avoid bugs, and tools from distributions can help with configuration.