spark/python/run-tests

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#!/usr/bin/env 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.
#
# Figure out where the Spark framework is installed
FWDIR="$(cd `dirname $0`; cd ../; pwd)"
# CD into the python directory to find things on the right path
cd "$FWDIR/python"
FAILED=0
rm -f unit-tests.log
function run_test() {
$FWDIR/pyspark $1 2>&1 | tee -a unit-tests.log
FAILED=$((PIPESTATUS[0]||$FAILED))
}
run_test "pyspark/rdd.py"
run_test "pyspark/context.py"
run_test "-m doctest pyspark/broadcast.py"
run_test "-m doctest pyspark/accumulators.py"
run_test "pyspark/tests.py"
if [[ $FAILED != 0 ]]; then
echo -en "\033[31m" # Red
echo "Had test failures; see logs."
echo -en "\033[0m" # No color
exit -1
else
echo -en "\033[32m" # Green
echo "Tests passed."
echo -en "\033[0m" # No color
fi
# TODO: in the long-run, it would be nice to use a test runner like `nose`.
# The doctest fixtures are the current barrier to doing this.