Title
Stocator: Providing High Performance and Fault Tolerance for Apache Spark Over Object Storage
Abstract
Until now object storage has not been a first-class citizen of the Apache Hadoop ecosystem including Apache Spark. Hadoop connectors to object storage have been based on file semantics, an impedance mismatch, which leads to low performance and the need for an additional consistent storage system to achieve fault tolerance. In particular, Hadoop depends on its underlying storage system and its associated connector for fault tolerance and allowing speculative execution. However, these characteristics are obtained through file operations that are not native for object storage, and are both costly and not atomic. As a result these connectors are not efficient and more importantly they cannot help with fault tolerance for object storage. We introduce Stocator, whose novel algorithm achieves both high performance and fault tolerance by taking advantage of object storage semantics. This greatly decreases the number of operations on object storage as well as enabling a much simpler approach to dealing with the eventually consistent semantics typical of object storage. We have implemented Stocator and shared it in open source. Performance testing with Apache Spark shows that it can be 18 times faster for write intensive workloads and can perform 30 times fewer operations on object storage than the legacy Hadoop connectors, reducing costs both for the client and the object storage service provider.
Year
DOI
Venue
2018
10.1109/CCGRID.2018.00073
2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)
Keywords
Field
DocType
Apache Spark,Cloud Object Storage,Apache Hadoop,Analytics,MapReduce
Data structure,Object storage,Spark (mathematics),Speculative execution,Computer science,Computer data storage,Service provider,Fault tolerance,Big data,Operating system
Conference
ISBN
Citations 
PageRank 
978-1-5386-5816-1
1
0.63
References 
Authors
3
6
Name
Order
Citations
PageRank
Gil Vernik1324.15
Michael Factor232.03
Elliot K. Kolodner348383.65
Pietro Michiardi41512111.53
Effi Ofer532.35
Francesco Pace611.30