blob: 9ee19ed6e6b2654b003bab9b06e165842d64ed0a (
plain) (
blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
|
#!/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
LOG_FILE=unit-tests.log
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 "Running test: $1" | tee -a $LOG_FILE
SPARK_TESTING=1 time "$FWDIR"/bin/pyspark $1 2>&1 | tee -a $LOG_FILE
FAILED=$((PIPESTATUS[0]||$FAILED))
# Fail and exit on the first test failure.
if [[ $FAILED != 0 ]]; then
cat $LOG_FILE | grep -v "^[0-9][0-9]*" # filter all lines starting with a number.
echo -en "\033[31m" # Red
echo "Had test failures; see logs."
echo -en "\033[0m" # No color
exit -1
fi
}
function run_core_tests() {
echo "Run core tests ..."
run_test "pyspark/rdd.py"
run_test "pyspark/context.py"
run_test "pyspark/conf.py"
PYSPARK_DOC_TEST=1 run_test "pyspark/broadcast.py"
PYSPARK_DOC_TEST=1 run_test "pyspark/accumulators.py"
run_test "pyspark/serializers.py"
run_test "pyspark/shuffle.py"
run_test "pyspark/tests.py"
}
function run_sql_tests() {
echo "Run sql tests ..."
run_test "pyspark/sql.py"
}
function run_mllib_tests() {
echo "Run mllib tests ..."
run_test "pyspark/mllib/classification.py"
run_test "pyspark/mllib/clustering.py"
run_test "pyspark/mllib/feature.py"
run_test "pyspark/mllib/linalg.py"
run_test "pyspark/mllib/rand.py"
run_test "pyspark/mllib/recommendation.py"
run_test "pyspark/mllib/regression.py"
run_test "pyspark/mllib/stat.py"
run_test "pyspark/mllib/tree.py"
run_test "pyspark/mllib/util.py"
run_test "pyspark/mllib/tests.py"
}
function run_streaming_tests() {
echo "Run streaming tests ..."
run_test "pyspark/streaming/util.py"
run_test "pyspark/streaming/tests.py"
}
echo "Running PySpark tests. Output is in python/$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
echo "Testing with Python version:"
$PYSPARK_PYTHON --version
run_core_tests
run_sql_tests
run_mllib_tests
run_streaming_tests
# Try to test with PyPy
if [ $(which pypy) ]; then
export PYSPARK_PYTHON="pypy"
echo "Testing with PyPy version:"
$PYSPARK_PYTHON --version
run_core_tests
run_sql_tests
run_streaming_tests
fi
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.
|
