Back to Search
Start Over
JetScope
- Source :
- Proceedings of the VLDB Endowment. 8:1680-1691
- Publication Year :
- 2015
- Publisher :
- Association for Computing Machinery (ACM), 2015.
-
Abstract
- Interactive, reliable, and rich data analytics at cloud scale is a key capability to support low latency data exploration and experimentation over terabytes of data for a wide range of business scenarios. Besides the challenges in massive scalability and low latency distributed query processing, it is imperative to achieve all these requirements with effective fault tolerance and efficient recovery, as failures and fluctuations are the norm in such a distributed environment. We present a cloud scale interactive query processing system, called JetScope, developed at Microsoft. The system has a SQL-like declarative scripting language and delivers massive scalability and high performance through advanced optimizations. In order to achieve low latency, the system leverages various access methods, optimizes delivering first rows, and maximizes network and scheduling efficiency. The system also provides a fine-grained fault tolerance mechanism which is able to efficiently detect and mitigate failures without significantly impacting the query latency and user experience. JetScope has been deployed to hundreds of servers in production at Microsoft, serving a few million queries every day.
Details
- ISSN :
- 21508097
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- Proceedings of the VLDB Endowment
- Accession number :
- edsair.doi...........09586ac6f1131d133813eb727a675dff
- Full Text :
- https://doi.org/10.14778/2824032.2824066