J-Recover: Java Reducer Commutativity Verifier

PROGRAMMING LANGUAGES AND SYSTEMS, APLAS 2019(2019)

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摘要
The MapReduce framework for data-parallel computation was first proposed by Google [10] and later implemented in the Apache Hadoop project. Under the MapReduce framework, a reducer computes output values from a sequence of input values transmitted over the network. Due to non-determinism in data transmission, the order in which input values arrive at the reducer is not fixed. In relation to this, the commutativity problem of reducers asks if the output of a reducer is independent of the order of its inputs. Indeed, there are several advantages for a reducer to be commutative, e.g., the verification problem of a MapReduce program can be reduced to the problem of verifying a sequential program. We present the tool J-ReCoVer (Java Reducer Commutativity Verifier) that implements effective heuristics for reducer commutativity analysis. J-ReCoVer is the first tool that is specialized in checking reducer commutativity. Our experimental results over 118 benchmark examples collected from open repositories are very positive; J-ReCoVer correctly handles over 97% of them.
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