Skip to content
Closed
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
223 changes: 81 additions & 142 deletions python/run-tests
Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,65 @@
# limitations under the License.
#

# Run test suites and indivisual test suite.
#
# Usage: run-tests [-v python version] [core|sql|mllib|ml|streaming]
#
# When you select none, all test suites are run. You can also select
# multiple test suites.

function usage() {
echo "Usage: run-tests [-v python version] [core|sql|mllib|ml|streaming]"
}

SUPPORT_PYTHON_VERSIONS="2.6 3.4 pypy"
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

This is supposed to be an array I guess but this doesn't look like the typical Bash syntax for arrays?

TARGET_PYTHON_VERSION=
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

This is confusing to me; are we just declaring a variable here?

if [ $# != 0 -a $1 == "-v" ]; then
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Do we need to double-quote $1?

Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

By the way, this prints an error when I run it on my Mac:

[joshrosen python (2c6a7d4...)]$ ./run-tests
./run-tests: line 33: [: too many arguments

TARGET_PYTHON_VERSION=$2
shift 2
fi

if [ $# == 0 ]; then
DO_CORE_TESTS=1
DO_SQL_TESTS=1
DO_MLLIB_TESTS=1
DO_ML_TESTS=1
DO_STREAMING_TESTS=1
else
DO_CORE_TESTS=0
DO_SQL_TESTS=0
DO_MLLIB_TESTS=0
DO_ML_TESTS=0
DO_STREAMING_TESTS=0

while (("$#")); do
case $1 in
core)
DO_CORE_TESTS=1
;;
sql)
DO_SQL_TESTS=1
;;
mllib)
DO_MLLIB_TESTS=1
;;
ml)
DO_ML_TESTS=1
;;
streaming)
DO_STREAMING_TESTS=1
;;
*)
usage
exit 1
;;
esac
shift
done
fi

# set the directory that this script stored in.
SCRIPT_DIR="$(cd "`dirname "$0"`"; pwd)"

# Figure out where the Spark framework is installed
FWDIR="$(cd "`dirname "$0"`"; cd ../; pwd)"
Expand All @@ -26,157 +85,37 @@ FWDIR="$(cd "`dirname "$0"`"; cd ../; pwd)"
# CD into the python directory to find things on the right path
cd "$FWDIR/python"

FAILED=0
LOG_FILE=unit-tests.log
START=$(date +"%s")

rm -f $LOG_FILE

# Remove the metastore and warehouse directory created by the HiveContext tests in Spark SQL
rm -rf metastore warehouse

function run_test() {
echo -en "Running test: $1 ... " | tee -a $LOG_FILE
start=$(date +"%s")
SPARK_TESTING=1 time "$FWDIR"/bin/pyspark $1 > $LOG_FILE 2>&1

FAILED=$((PIPESTATUS[0]||$FAILED))

# Fail and exit on the first test failure.
if [[ $FAILED != 0 ]]; then
cat $LOG_FILE | grep -v "^[0-9][0-9]*" # filter all lines starting with a number.
echo -en "\033[31m" # Red
echo "Had test failures; see logs."
echo -en "\033[0m" # No color
exit -1
else
now=$(date +"%s")
echo "ok ($(($now - $start))s)"
fi
}

function run_core_tests() {
echo "Run core tests ..."
run_test "pyspark.rdd"
run_test "pyspark.context"
run_test "pyspark.conf"
run_test "pyspark.broadcast"
run_test "pyspark.accumulators"
run_test "pyspark.serializers"
run_test "pyspark.profiler"
run_test "pyspark.shuffle"
run_test "pyspark.tests"
}

function run_sql_tests() {
echo "Run sql tests ..."
run_test "pyspark.sql.types"
run_test "pyspark.sql.context"
run_test "pyspark.sql.column"
run_test "pyspark.sql.dataframe"
run_test "pyspark.sql.group"
run_test "pyspark.sql.functions"
run_test "pyspark.sql.readwriter"
run_test "pyspark.sql.window"
run_test "pyspark.sql.tests"
}

function run_mllib_tests() {
echo "Run mllib tests ..."
run_test "pyspark.mllib.classification"
run_test "pyspark.mllib.clustering"
run_test "pyspark.mllib.evaluation"
run_test "pyspark.mllib.feature"
run_test "pyspark.mllib.fpm"
run_test "pyspark.mllib.linalg"
run_test "pyspark.mllib.random"
run_test "pyspark.mllib.recommendation"
run_test "pyspark.mllib.regression"
run_test "pyspark.mllib.stat._statistics"
run_test "pyspark.mllib.stat.KernelDensity"
run_test "pyspark.mllib.tree"
run_test "pyspark.mllib.util"
run_test "pyspark.mllib.tests"
}

function run_ml_tests() {
echo "Run ml tests ..."
run_test "pyspark.ml.feature"
run_test "pyspark.ml.classification"
run_test "pyspark.ml.recommendation"
run_test "pyspark.ml.regression"
run_test "pyspark.ml.tuning"
run_test "pyspark.ml.tests"
run_test "pyspark.ml.evaluation"
}

function run_streaming_tests() {
echo "Run streaming tests ..."

KAFKA_ASSEMBLY_DIR="$FWDIR"/external/kafka-assembly
JAR_PATH="${KAFKA_ASSEMBLY_DIR}/target/scala-${SPARK_SCALA_VERSION}"
for f in "${JAR_PATH}"/spark-streaming-kafka-assembly-*.jar; do
if [[ ! -e "$f" ]]; then
echo "Failed to find Spark Streaming Kafka assembly jar in $KAFKA_ASSEMBLY_DIR" 1>&2
echo "You need to build Spark with " \
"'build/sbt assembly/assembly streaming-kafka-assembly/assembly' or" \
"'build/mvn package' before running this program" 1>&2
exit 1
fi
KAFKA_ASSEMBLY_JAR="$f"
done

export PYSPARK_SUBMIT_ARGS="--jars ${KAFKA_ASSEMBLY_JAR} pyspark-shell"
run_test "pyspark.streaming.util"
run_test "pyspark.streaming.tests"
}

echo "Running PySpark tests. Output is in python/$LOG_FILE."

export PYSPARK_PYTHON="python"

# Try to test with Python 2.6, since that's the minimum version that we support:
if [ $(which python2.6) ]; then
export PYSPARK_PYTHON="python2.6"
fi
if [ -n "$TARGET_PYTHON_VERSION" ]; then
if [[ ! "$SUPPORT_PYTHON_VERSIONS" =~ "$TARGET_PYTHON_VERSION" ]]; then
echo "python $TARGET_PYTHON_VERSION is not supported."
exit 1
fi

echo "Testing with Python version:"
$PYSPARK_PYTHON --version

run_core_tests
run_sql_tests
run_mllib_tests
run_ml_tests
run_streaming_tests

# Try to test with Python 3
if [ $(which python3.4) ]; then
export PYSPARK_PYTHON="python3.4"
echo "Testing with Python3.4 version:"
$PYSPARK_PYTHON --version

run_core_tests
run_sql_tests
run_mllib_tests
run_ml_tests
run_streaming_tests
SUPPORT_PYTHON_VERSIONS=$TARGET_PYTHON_VERSION
fi

# Try to test with PyPy
if [ $(which pypy) ]; then
export PYSPARK_PYTHON="pypy"
echo "Testing with PyPy version:"
$PYSPARK_PYTHON --version
for PYVERSION in $SUPPORT_PYTHON_VERSIONS;
do
# Remove the metastore and warehouse directory created by the HiveContext tests in Spark SQL
rm -rf metastore warehouse

run_core_tests
run_sql_tests
run_streaming_tests
fi
START=$(date +"%s")
FAILED=0

if [[ $FAILED == 0 ]]; then
now=$(date +"%s")
echo -e "\033[32mTests passed \033[0min $(($now - $START)) seconds"
fi
if [ -f "${SCRIPT_DIR}/tests/$PYVERSION.sh" ]; then
. "${SCRIPT_DIR}/tests/$PYVERSION.sh"
else
. "${SCRIPT_DIR}/tests/default" $PYVERSION
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.
if [[ $FAILED == 0 ]]; then
now=$(date +"%s")
echo -e "\033[32mTests passed \033[0min $(($now - $START)) seconds"
fi
done
132 changes: 132 additions & 0 deletions python/tests/common
Original file line number Diff line number Diff line change
@@ -0,0 +1,132 @@
#
# 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.
#

function run_test() {
echo -en "Running test: $1 ... " | tee -a $LOG_FILE
start=$(date +"%s")
SPARK_TESTING=1 time "$FWDIR"/bin/pyspark $1 > $LOG_FILE 2>&1

FAILED=$((PIPESTATUS[0]||$FAILED))

# Fail and exit on the first test failure.
if [[ $FAILED != 0 ]]; then
cat $LOG_FILE | grep -v "^[0-9][0-9]*" # filter all lines starting with a number.
echo -en "\033[31m" # Red
echo "Had test failures; see logs."
echo -en "\033[0m" # No color
exit -1
else
now=$(date +"%s")
echo "ok ($(($now - $start))s)"
fi
}

function run_core_tests() {
if [ $DO_CORE_TESTS == 0 ]; then
return 0
fi

echo "Run core tests ..."
run_test "pyspark.rdd"
run_test "pyspark.context"
run_test "pyspark.conf"
run_test "pyspark.broadcast"
run_test "pyspark.accumulators"
run_test "pyspark.serializers"
run_test "pyspark.profiler"
run_test "pyspark.shuffle"
run_test "pyspark.tests"
}

function run_sql_tests() {
if [ $DO_SQL_TESTS == 0 ]; then
return 0
fi

echo "Run sql tests ..."
run_test "pyspark.sql.types"
run_test "pyspark.sql.context"
run_test "pyspark.sql.column"
run_test "pyspark.sql.dataframe"
run_test "pyspark.sql.group"
run_test "pyspark.sql.functions"
run_test "pyspark.sql.readwriter"
run_test "pyspark.sql.window"
run_test "pyspark.sql.tests"
}

function run_mllib_tests() {
if [ $DO_MLLIB_TESTS == 0 ]; then
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

From a design perspective, I think it makes more sense to move these conditionals out of the run_*_tests functions and into the tests/default script.

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

I think it is not good, because if we remove these conditions from here, we must put them into the tests/default, tests/pypy.sh and another runner script for a particular python version. @davies pointed out that.

return 0
fi

echo "Run mllib tests ..."
run_test "pyspark.mllib.classification"
run_test "pyspark.mllib.clustering"
run_test "pyspark.mllib.evaluation"
run_test "pyspark.mllib.feature"
run_test "pyspark.mllib.fpm"
run_test "pyspark.mllib.linalg"
run_test "pyspark.mllib.random"
run_test "pyspark.mllib.recommendation"
run_test "pyspark.mllib.regression"
run_test "pyspark.mllib.stat._statistics"
run_test "pyspark.mllib.stat.KernelDensity"
run_test "pyspark.mllib.tree"
run_test "pyspark.mllib.util"
run_test "pyspark.mllib.tests"
}

function run_ml_tests() {
if [ $DO_ML_TESTS == 0 ]; then
return 0
fi

echo "Run ml tests ..."
run_test "pyspark.ml.feature"
run_test "pyspark.ml.classification"
run_test "pyspark.ml.recommendation"
run_test "pyspark.ml.regression"
run_test "pyspark.ml.tuning"
run_test "pyspark.ml.tests"
run_test "pyspark.ml.evaluation"
}

function run_streaming_tests() {
if [ $DO_STREAMING_TESTS == 0 ]; then
return 0
fi

echo "Run streaming tests ..."

KAFKA_ASSEMBLY_DIR="$FWDIR"/external/kafka-assembly
JAR_PATH="${KAFKA_ASSEMBLY_DIR}/target/scala-${SPARK_SCALA_VERSION}"
for f in "${JAR_PATH}"/spark-streaming-kafka-assembly-*.jar; do
if [[ ! -e "$f" ]]; then
echo "Failed to find Spark Streaming Kafka assembly jar in $KAFKA_ASSEMBLY_DIR" 1>&2
echo "You need to build Spark with " \
"'build/sbt assembly/assembly streaming-kafka-assembly/assembly' or" \
"'build/mvn package' before running this program" 1>&2
exit 1
fi
KAFKA_ASSEMBLY_JAR="$f"
done

export PYSPARK_SUBMIT_ARGS="--jars ${KAFKA_ASSEMBLY_JAR} pyspark-shell"
run_test "pyspark.streaming.util"
run_test "pyspark.streaming.tests"
}
Loading