ePipe: Near Real-Time Polyglot Persistence of HopsFS Metadata

Mahmoud Ismail, Mikael Ronström, Seif Haridi, Jim Dowling

Distributed OLTP databases are now used to manage metadata for distributed file systems, but they cannot also efficiently support complex queries or aggregations. To solve this problem, we introduce ePipe, a databus that both creates a consistent change stream for a distributed, hierarchical file system (HopsFS) and eventually delivers the correctly ordered stream with low latency to downstream clients. ePipe can be used to provide polyglot storage for file system metadata, allowing metadata queries to be handled by the most efficient engine for that query. For file system notifications, we show that ePipe achieves up to 56X throughput improvement over HDFS INotify and Trumpet with up to 3 orders of magnitude lower latency. For Spotify's Hadoop workload, we show that ePipe can replicate all file system changes from HopsFS to Elasticsearch with an average replication lag of only 330 ms.