3134c3fe49
This PR try to speed up some python tests: ``` tests.py 144s -> 103s -41s mllib/classification.py 24s -> 17s -7s mllib/regression.py 27s -> 15s -12s mllib/tree.py 27s -> 13s -14s mllib/tests.py 64s -> 31s -33s streaming/tests.py 185s -> 84s -101s ``` Considering python3, the total saving will be 558s (almost 10 minutes) (core, and streaming run three times, mllib runs twice). During testing, it will show used time for each test file: ``` Run core tests ... Running test: pyspark/rdd.py ... ok (22s) Running test: pyspark/context.py ... ok (16s) Running test: pyspark/conf.py ... ok (4s) Running test: pyspark/broadcast.py ... ok (4s) Running test: pyspark/accumulators.py ... ok (4s) Running test: pyspark/serializers.py ... ok (6s) Running test: pyspark/profiler.py ... ok (5s) Running test: pyspark/shuffle.py ... ok (1s) Running test: pyspark/tests.py ... ok (103s) 144s ``` Author: Reynold Xin <rxin@databricks.com> Author: Xiangrui Meng <meng@databricks.com> Closes #5605 from rxin/python-tests-speed and squashes the following commits: d08542d [Reynold Xin] Merge pull request #14 from mengxr/SPARK-6953 89321ee [Xiangrui Meng] fix seed in tests 3ad2387 [Reynold Xin] Merge pull request #5427 from davies/python_tests
174 lines
5.1 KiB
Bash
Executable file
174 lines
5.1 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 "$0"`"; cd ../; pwd)"
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. "$FWDIR"/bin/load-spark-env.sh
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# CD into the python directory to find things on the right path
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cd "$FWDIR/python"
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FAILED=0
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LOG_FILE=unit-tests.log
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START=$(date +"%s")
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rm -f $LOG_FILE
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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 -en "Running test: $1 ... " | tee -a $LOG_FILE
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start=$(date +"%s")
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SPARK_TESTING=1 time "$FWDIR"/bin/pyspark $1 > $LOG_FILE 2>&1
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FAILED=$((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 $LOG_FILE | grep -v "^[0-9][0-9]*" # filter all lines starting with a number.
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echo -en "\033[31m" # Red
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echo "Had test failures; see logs."
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echo -en "\033[0m" # No color
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exit -1
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else
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now=$(date +"%s")
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echo "ok ($(($now - $start))s)"
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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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run_test "pyspark/serializers.py"
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run_test "pyspark/profiler.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/_types.py"
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run_test "pyspark/sql/context.py"
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run_test "pyspark/sql/dataframe.py"
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run_test "pyspark/sql/functions.py"
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run_test "pyspark/sql/tests.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/evaluation.py"
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run_test "pyspark/mllib/feature.py"
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run_test "pyspark/mllib/fpm.py"
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run_test "pyspark/mllib/linalg.py"
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run_test "pyspark/mllib/rand.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/_statistics.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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function run_ml_tests() {
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echo "Run ml tests ..."
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run_test "pyspark/ml/feature.py"
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run_test "pyspark/ml/classification.py"
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run_test "pyspark/ml/tests.py"
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}
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function run_streaming_tests() {
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echo "Run streaming tests ..."
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KAFKA_ASSEMBLY_DIR="$FWDIR"/external/kafka-assembly
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JAR_PATH="${KAFKA_ASSEMBLY_DIR}/target/scala-${SPARK_SCALA_VERSION}"
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for f in "${JAR_PATH}"/spark-streaming-kafka-assembly-*.jar; do
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if [[ ! -e "$f" ]]; then
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echo "Failed to find Spark Streaming Kafka assembly jar in $KAFKA_ASSEMBLY_DIR" 1>&2
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echo "You need to build Spark with " \
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"'build/sbt assembly/assembly streaming-kafka-assembly/assembly' or" \
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"'build/mvn package' before running this program" 1>&2
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exit 1
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fi
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KAFKA_ASSEMBLY_JAR="$f"
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done
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export PYSPARK_SUBMIT_ARGS="--jars ${KAFKA_ASSEMBLY_JAR} pyspark-shell"
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run_test "pyspark/streaming/util.py"
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run_test "pyspark/streaming/tests.py"
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}
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echo "Running PySpark tests. Output is in python/$LOG_FILE."
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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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run_ml_tests
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run_streaming_tests
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# Try to test with Python 3
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if [ $(which python3.4) ]; then
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export PYSPARK_PYTHON="python3.4"
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echo "Testing with Python3.4 version:"
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$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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run_ml_tests
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run_streaming_tests
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fi
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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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run_streaming_tests
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fi
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if [[ $FAILED == 0 ]]; then
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now=$(date +"%s")
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echo -e "\033[32mTests passed \033[0min $(($now - $START)) seconds"
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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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