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#Squall Squall is an online query processing engine built on top of Storm. Similar to how Hive provides SQL syntax on top of Hadoop for doing batch processing, Squall executes SQL queries on top of Storm for doing online processing. Squall supports a wide class of SQL analytics ranging from simple aggregations to more advanced UDF join predicates and adaptive rebalancing of load. It is being actively developed by several contributors from the EPFL DATA lab. Squall is undergoing a continuous process of development, currently it supports the following:
- SQL (Select-Project-Join) query processing over continuous streams of data.
- Full fledged & full-history stateful computation essential for approximate query processing, e.g. Online Aggregation.
- Time based Window Semantics for infinite data streams.
- Theta Joins: complex join predicates, including inequality, band, and arbitrary UDF join predicates. This gives a more comprehensive support and flexibility to data analytics. For example, Hive plans to support theta joins in response to user requests.
- Continuous load balance and adaptation to data skew.
- Usage: An API for arbitrary SQL query processing or a frontend query processor that parses SQL to a storm topology.
- Throughput rates of upto Millions of tuples/second and latencies of milliseconds on a 16 machine cluster. Scalable to large cluster settings. Further details can be found in this whitepaper.
- Elasticity: Scaling out according to the load.
Squall is licensed under Apache License v2.0.
- Rationale
- [A high-level overview](https://github.com/epfldata/squall/wiki/A high-level overview)
- [Supported features](https://github.com/epfldata/squall/wiki/Supported features)
- [Quick Start: Local Mode](https://github.com/epfldata/squall/wiki/Quick Start: Local Mode)
- [Quick Start: Cluster Mode](https://github.com/epfldata/squall/wiki/Quick Start: Cluster Mode)
- [Squall query plans vs Storm topologies](https://github.com/epfldata/squall/wiki/Squall query plans vs Storm topologies)
- [Manually writing Squall query plans](https://github.com/epfldata/squall/wiki/Manually writing Squall query plans)
- Theta-Join usage & implementation
- [EPFL cluster information](https://github.com/epfldata/squall/wiki/EPFL cluster information)
We'd love to have your help in making Squall better. If you're interested, please communicate with us your suggestions and get your name to the Contributors list. All questions and suggestions are welcomed at aleksandar.vitorovic at epfl dot ch.