This is the output of a MapReduce job. The job seems to have completed successfully, as there are no error messages in the output.
The output shows various counters that provide information about the job’s performance and resource usage. Here are some of the key counters:
Map input records: This counter shows how many records were read by the map function.Map output records: This counter shows how many records were produced by the map function.Reduce input groups: This counter shows how many unique keys were received by the reduce function.Reduce input records: This counter shows how many values were received by the reduce function.Reduce output records: This counter shows how many key-value pairs were produced by the reduce function.Bytes Read(File Input Format Counters): This counter shows how many bytes were read from the input file(s).Bytes Written(File Output Format Counters): This counter shows how many bytes were written to the output file.
In addition to these counters, there are also counters for resource usage such as CPU time and memory usage (Total committed heap usage). These can be useful for identifying performance bottlenecks or tuning your cluster configuration.
