4f01265f7d
This patch try to speed up tests of PySpark, re-use the SparkContext in tests.py and mllib/tests.py to reduce the overhead of create SparkContext, remove some test cases, which did not make sense. It also improve the performance of some cases, such as MergerTests and SortTests. before this patch: real 21m27.320s user 4m42.967s sys 0m17.343s after this patch: real 9m47.541s user 2m12.947s sys 0m14.543s It almost cut the time by half. Author: Davies Liu <davies.liu@gmail.com> Closes #2646 from davies/tests and squashes the following commits: c54de60 [Davies Liu] revert change about memory limit 6a2a4b0 [Davies Liu] refactor of tests, speedup 100%
116 lines
3.3 KiB
Bash
Executable file
116 lines
3.3 KiB
Bash
Executable file
#!/usr/bin/env bash
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#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# Figure out where the Spark framework is installed
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FWDIR="$(cd "`dirname "$0"`"; cd ../; pwd)"
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# CD into the python directory to find things on the right path
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cd "$FWDIR/python"
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FAILED=0
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rm -f unit-tests.log
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# Remove the metastore and warehouse directory created by the HiveContext tests in Spark SQL
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rm -rf metastore warehouse
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function run_test() {
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echo "Running test: $1"
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SPARK_TESTING=1 time "$FWDIR"/bin/pyspark $1 2>&1 | tee -a unit-tests.log
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FAILED=$((PIPESTATUS[0]||$FAILED))
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# Fail and exit on the first test failure.
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if [[ $FAILED != 0 ]]; then
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cat unit-tests.log | grep -v "^[0-9][0-9]*" # filter all lines starting with a number.
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echo -en "\033[31m" # Red
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echo "Had test failures; see logs."
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echo -en "\033[0m" # No color
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exit -1
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fi
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}
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function run_core_tests() {
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echo "Run core tests ..."
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run_test "pyspark/rdd.py"
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run_test "pyspark/context.py"
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run_test "pyspark/conf.py"
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PYSPARK_DOC_TEST=1 run_test "pyspark/broadcast.py"
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PYSPARK_DOC_TEST=1 run_test "pyspark/accumulators.py"
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PYSPARK_DOC_TEST=1 run_test "pyspark/serializers.py"
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run_test "pyspark/shuffle.py"
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run_test "pyspark/tests.py"
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}
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function run_sql_tests() {
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echo "Run sql tests ..."
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run_test "pyspark/sql.py"
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}
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function run_mllib_tests() {
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echo "Run mllib tests ..."
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run_test "pyspark/mllib/classification.py"
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run_test "pyspark/mllib/clustering.py"
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run_test "pyspark/mllib/linalg.py"
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run_test "pyspark/mllib/random.py"
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run_test "pyspark/mllib/recommendation.py"
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run_test "pyspark/mllib/regression.py"
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run_test "pyspark/mllib/stat.py"
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run_test "pyspark/mllib/tree.py"
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run_test "pyspark/mllib/util.py"
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run_test "pyspark/mllib/tests.py"
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}
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echo "Running PySpark tests. Output is in python/unit-tests.log."
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export PYSPARK_PYTHON="python"
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# Try to test with Python 2.6, since that's the minimum version that we support:
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if [ $(which python2.6) ]; then
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export PYSPARK_PYTHON="python2.6"
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fi
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echo "Testing with Python version:"
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$PYSPARK_PYTHON --version
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run_core_tests
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run_sql_tests
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run_mllib_tests
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# Try to test with PyPy
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if [ $(which pypy) ]; then
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export PYSPARK_PYTHON="pypy"
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echo "Testing with PyPy version:"
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$PYSPARK_PYTHON --version
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run_core_tests
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run_sql_tests
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fi
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if [[ $FAILED == 0 ]]; then
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echo -en "\033[32m" # Green
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echo "Tests passed."
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echo -en "\033[0m" # No color
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fi
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# TODO: in the long-run, it would be nice to use a test runner like `nose`.
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# The doctest fixtures are the current barrier to doing this.
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