#include "mapreduce/mapreduce.h" // User's map function class WordCounter : public Mapper { public: virtual void Map(const MapInput& input) { const string& text = input.value(); const int n = text.size(); for (int i = 0; i < n; ) { // Skip past leading whitespace while ((i < n) && isspace(text[i])) i++; // Find word end int start = i; while ((i < n) && !isspace(text[i])) i++; if (start < i) EmitIntermediate(text.substr(start,i-start),"1"); } } }; REGISTER_MAPPER(WordCounter); // User's reduce function class Adder : public Reducer { virtual void Reduce(ReduceInput* input) { // Iterate over all entries with the // same key and add the values int64 value = 0; while (!input->done()) { value += StringToInt(input->value()); input->NextValue(); } // Emit sum for input->key() Emit(IntToString(value)); } }; REGISTER_REDUCER(Adder); int main(int argc, char** argv) { ParseCommandLineFlags(argc, argv); MapReduceSpecification spec; // Store list of input files into "spec" for (int i = 1; i < argc; i++) { MapReduceInput* input = spec.add_input(); input->set_format("text"); input->set_filepattern(argv[i]); input->set_mapper_class("WordCounter"); } // Specify the output files: // /gfs/test/freq-00000-of-00100 // /gfs/test/freq-00001-of-00100 // ... MapReduceOutput* out = spec.output(); out->set_filebase("/gfs/test/freq"); out->set_num_tasks(100); out->set_format("text"); out->set_reducer_class("Adder"); // Optional: do partial sums within map // tasks to save network bandwidth out->set_combiner_class("Adder"); // Tuning parameters: use at most 2000 // machines and 100 MB of memory per task spec.set_machines(2000); spec.set_map_megabytes(100); spec.set_reduce_megabytes(100); // Now run it MapReduceResult result; if (!MapReduce(spec, &result)) abort(); // Done: 'result' structure contains info // about counters, time taken, number of // machines used, etc. return 0; }