| #!/bin/bash |
| # |
| # 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 |
| # |
| # http://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. |
| |
| # The line below is interpreted as an invalid command in bash and a string literal in |
| # python. |
| '''' &>/dev/null |
| set -e |
| # pypy is preferred since it's about 10x faster than cpython. |
| if which pypy &>/dev/null; then |
| exec pypy $0 |
| else |
| exec python $0 |
| fi |
| ''' |
| |
| '''This is a reducer for use with hadoop streaming. See data_generator.DatabasePopulator |
| for more information on how this file is used. |
| ''' |
| |
| import os |
| import random |
| import subprocess |
| import sys |
| |
| # When running locally, the PYTHONPATH needed by impala-shell interferes with python |
| # through YARN. Specifically, when the data generator needs to import common.py, python |
| # looks at $IMPALA_HOME/tests/common and errors when it doesn't find what was asked for. |
| sys.path.insert(1, os.getcwd()) |
| |
| from data_generator_mapred_common import deserialize |
| |
| for line in sys.stdin: |
| _, batch_idx, serialized_table_data_generator = line.split("\t") |
| table_data_generator = deserialize(serialized_table_data_generator) |
| random.seed(table_data_generator.randomization_seed) |
| output_file_name = "batch_%s.data" % batch_idx |
| with open(output_file_name, "w") as output_file: |
| table_data_generator.output_file = output_file |
| table_data_generator.populate_output_file() |
| put = subprocess.Popen(["hadoop", "fs", "-put", output_file.name, |
| table_data_generator.table.storage_location], |
| stdout=subprocess.PIPE, stderr=subprocess.STDOUT) |
| put.wait() |
| if put.returncode != 0: |
| raise Exception("Error uploading data to hdfs: %s" % put.communicate()[0]) |
| os.remove(output_file.name) |