HadoopProv: towards provenance as a first class citizen in MapReduce

Abstract

We introduce HadoopProv, a modified version of Hadoop that implements provenance capture and analysis in MapReduce jobs. It is designed to minimise provenance capture overheads by (i) treating provenance tracking in Map and Reduce phases separately, and (ii) deferring construction of the provenance graph to the query stage. Provenance graphs are later joined on matching intermediate keys of the Map and Reduce provenance files. In our prototype implementation, HadoopProv has an overhead below 10% on typical job runtime (