| #!/usr/bin/env python |
| |
| ## |
| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # https://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| |
| from __future__ import absolute_import, division, print_function |
| |
| import logging |
| |
| import avro.tether.tether_task |
| |
| __all__ = ["WordCountTask"] |
| |
| |
| # TODO::Make the logging level a parameter we can set |
| # logging.basicConfig(level=logging.INFO) |
| class WordCountTask(avro.tether.tether_task.TetherTask): |
| """ |
| Implements the mapper and reducer for the word count example |
| """ |
| |
| def __init__(self): |
| """ |
| """ |
| |
| inschema = """{"type":"string"}""" |
| midschema = """{"type":"record", "name":"Pair","namespace":"org.apache.avro.mapred","fields":[ |
| {"name":"key","type":"string"}, |
| {"name":"value","type":"long","order":"ignore"}] |
| }""" |
| outschema = midschema |
| avro.tether.tether_task.TetherTask.__init__(self, inschema, midschema, outschema) |
| |
| # keep track of the partial sums of the counts |
| self.psum = 0 |
| |
| def map(self, record, collector): |
| """Implement the mapper for the word count example |
| |
| Parameters |
| ---------------------------------------------------------------------------- |
| record - The input record |
| collector - The collector to collect the output |
| """ |
| |
| words = record.split() |
| |
| for w in words: |
| logging.info("WordCountTask.Map: word={0}".format(w)) |
| collector.collect({"key": w, "value": 1}) |
| |
| def reduce(self, record, collector): |
| """Called with input values to generate reducer output. Inputs are sorted by the mapper |
| key. |
| |
| The reduce function is invoked once for each value belonging to a given key outputted |
| by the mapper. |
| |
| Parameters |
| ---------------------------------------------------------------------------- |
| record - The mapper output |
| collector - The collector to collect the output |
| """ |
| |
| self.psum += record["value"] |
| |
| def reduceFlush(self, record, collector): |
| """ |
| Called with the last intermediate value in each equivalence run. |
| In other words, reduceFlush is invoked once for each key produced in the reduce |
| phase. It is called after reduce has been invoked on each value for the given key. |
| |
| Parameters |
| ------------------------------------------------------------------ |
| record - the last record on which reduce was invoked. |
| """ |
| |
| # collect the current record |
| logging.info("WordCountTask.reduceFlush key={0} value={1}".format(record["key"], self.psum)) |
| |
| collector.collect({"key": record["key"], "value": self.psum}) |
| |
| # reset the sum |
| self.psum = 0 |