spark-instrumented-optimizer/python/run-tests
Josh Rosen 1f1819b20f [SPARK-3114] [PySpark] Fix Python UDFs in Spark SQL.
This fixes SPARK-3114, an issue where we inadvertently broke Python UDFs in Spark SQL.

This PR modifiers the test runner script to always run the PySpark SQL tests, irrespective of whether SparkSQL itself has been modified.  It also includes Davies' fix for the bug.

Closes #2026.

Author: Josh Rosen <joshrosen@apache.org>
Author: Davies Liu <davies.liu@gmail.com>

Closes #2027 from JoshRosen/pyspark-sql-fix and squashes the following commits:

9af2708 [Davies Liu] bugfix: disable compression of command
0d8d3a4 [Josh Rosen] Always run Python Spark SQL tests.
2014-08-18 20:42:19 -07:00

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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
# Remove the metastore and warehouse directory created by the HiveContext tests in SparkSQL
rm -rf metastore warehouse
function run_test() {
echo "Running test: $1"
SPARK_TESTING=1 $FWDIR/bin/pyspark $1 2>&1 | tee -a > unit-tests.log
FAILED=$((PIPESTATUS[0]||$FAILED))
# Fail and exit on the first test failure.
if [[ $FAILED != 0 ]]; then
cat unit-tests.log | grep -v "^[0-9][0-9]*" # filter all lines starting with a number.
echo -en "\033[31m" # Red
echo "Had test failures; see logs."
echo -en "\033[0m" # No color
exit -1
fi
}
echo "Running PySpark tests. Output is in python/unit-tests.log."
# Try to test with Python 2.6, since that's the minimum version that we support:
if [ $(which python2.6) ]; then
export PYSPARK_PYTHON="python2.6"
fi
echo "Testing with Python version:"
$PYSPARK_PYTHON --version
run_test "pyspark/rdd.py"
run_test "pyspark/context.py"
run_test "pyspark/conf.py"
run_test "pyspark/sql.py"
# These tests are included in the module-level docs, and so must
# be handled on a higher level rather than within the python file.
export PYSPARK_DOC_TEST=1
run_test "pyspark/broadcast.py"
run_test "pyspark/accumulators.py"
run_test "pyspark/serializers.py"
unset PYSPARK_DOC_TEST
run_test "pyspark/shuffle.py"
run_test "pyspark/tests.py"
run_test "pyspark/mllib/_common.py"
run_test "pyspark/mllib/classification.py"
run_test "pyspark/mllib/clustering.py"
run_test "pyspark/mllib/linalg.py"
run_test "pyspark/mllib/random.py"
run_test "pyspark/mllib/recommendation.py"
run_test "pyspark/mllib/regression.py"
run_test "pyspark/mllib/stat.py"
run_test "pyspark/mllib/tests.py"
run_test "pyspark/mllib/tree.py"
run_test "pyspark/mllib/util.py"
if [[ $FAILED == 0 ]]; then
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.