See <https://ci-beam.apache.org/job/beam_PostCommit_PortableJar_Spark/2753/display/redirect>
Changes: ------------------------------------------ [...truncated 67.76 KB...] apache/beam_python3.7_sdk:2.30.0.dev # Set up Python environment virtualenv -p python$PYTHON_VERSION $ENV_DIR Using base prefix '/usr' New python executable in <https://ci-beam.apache.org/job/beam_PostCommit_PortableJar_Spark/ws/src/build/gradleenv/2022703441/bin/python3.7> Also creating executable in <https://ci-beam.apache.org/job/beam_PostCommit_PortableJar_Spark/ws/src/build/gradleenv/2022703441/bin/python> Installing setuptools, pip, wheel... done. Running virtualenv with interpreter /usr/bin/python3.7 . $ENV_DIR/bin/activate # This file must be used with "source bin/activate" *from bash* # you cannot run it directly deactivate () { unset -f pydoc >/dev/null 2>&1 # reset old environment variables # ! [ -z ${VAR+_} ] returns true if VAR is declared at all if ! [ -z "${_OLD_VIRTUAL_PATH+_}" ] ; then PATH="$_OLD_VIRTUAL_PATH" export PATH unset _OLD_VIRTUAL_PATH fi if ! [ -z "${_OLD_VIRTUAL_PYTHONHOME+_}" ] ; then PYTHONHOME="$_OLD_VIRTUAL_PYTHONHOME" export PYTHONHOME unset _OLD_VIRTUAL_PYTHONHOME fi # This should detect bash and zsh, which have a hash command that must # be called to get it to forget past commands. Without forgetting # past commands the $PATH changes we made may not be respected if [ -n "${BASH-}" ] || [ -n "${ZSH_VERSION-}" ] ; then hash -r 2>/dev/null fi if ! [ -z "${_OLD_VIRTUAL_PS1+_}" ] ; then PS1="$_OLD_VIRTUAL_PS1" export PS1 unset _OLD_VIRTUAL_PS1 fi unset VIRTUAL_ENV if [ ! "${1-}" = "nondestructive" ] ; then # Self destruct! unset -f deactivate fi } # unset irrelevant variables deactivate nondestructive VIRTUAL_ENV="<https://ci-beam.apache.org/job/beam_PostCommit_PortableJar_Spark/ws/src/build/gradleenv/2022703441";> export VIRTUAL_ENV _OLD_VIRTUAL_PATH="$PATH" PATH="$VIRTUAL_ENV/bin:$PATH" export PATH # unset PYTHONHOME if set if ! [ -z "${PYTHONHOME+_}" ] ; then _OLD_VIRTUAL_PYTHONHOME="$PYTHONHOME" unset PYTHONHOME fi if [ -z "${VIRTUAL_ENV_DISABLE_PROMPT-}" ] ; then _OLD_VIRTUAL_PS1="${PS1-}" if [ "x" != x ] ; then PS1="${PS1-}" else PS1="(`basename \"$VIRTUAL_ENV\"`) ${PS1-}" fi export PS1 fi basename "$VIRTUAL_ENV" # Make sure to unalias pydoc if it's already there alias pydoc 2>/dev/null >/dev/null && unalias pydoc || true pydoc () { python -m pydoc "$@" } # This should detect bash and zsh, which have a hash command that must # be called to get it to forget past commands. Without forgetting # past commands the $PATH changes we made may not be respected if [ -n "${BASH-}" ] || [ -n "${ZSH_VERSION-}" ] ; then hash -r 2>/dev/null fi pip install --retries 10 -e $PYTHON_ROOT_DIR Obtaining file://<https://ci-beam.apache.org/job/beam_PostCommit_PortableJar_Spark/ws/src/sdks/python> Collecting avro-python3!=1.9.2,<1.10.0,>=1.8.1 Using cached avro_python3-1.9.2.1-py3-none-any.whl Collecting crcmod<2.0,>=1.7 Using cached crcmod-1.7-cp37-cp37m-linux_x86_64.whl Collecting dill<0.3.2,>=0.3.1.1 Using cached dill-0.3.1.1-py3-none-any.whl Collecting fastavro<2,>=0.21.4 Using cached fastavro-1.4.0-cp37-cp37m-manylinux2014_x86_64.whl (2.2 MB) Collecting future<1.0.0,>=0.18.2 Using cached future-0.18.2-py3-none-any.whl Collecting grpcio<2,>=1.29.0 Using cached grpcio-1.37.0-cp37-cp37m-manylinux2014_x86_64.whl (4.2 MB) Collecting hdfs<3.0.0,>=2.1.0 Using cached hdfs-2.6.0-py3-none-any.whl (33 kB) Collecting httplib2<0.20.0,>=0.8 Using cached httplib2-0.19.1-py3-none-any.whl (95 kB) Collecting numpy<1.21.0,>=1.14.3 Using cached numpy-1.20.2-cp37-cp37m-manylinux2010_x86_64.whl (15.3 MB) Collecting pymongo<4.0.0,>=3.8.0 Using cached pymongo-3.11.3-cp37-cp37m-manylinux2014_x86_64.whl (512 kB) Collecting oauth2client<5,>=2.0.1 Using cached oauth2client-4.1.3-py2.py3-none-any.whl (98 kB) Collecting protobuf<4,>=3.12.2 Using cached protobuf-3.15.8-cp37-cp37m-manylinux1_x86_64.whl (1.0 MB) Collecting pyarrow<4.0.0,>=0.15.1 Using cached pyarrow-3.0.0-cp37-cp37m-manylinux2014_x86_64.whl (20.7 MB) Collecting pydot<2,>=1.2.0 Using cached pydot-1.4.2-py2.py3-none-any.whl (21 kB) Collecting python-dateutil<3,>=2.8.0 Using cached python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB) Collecting pytz>=2018.3 Using cached pytz-2021.1-py2.py3-none-any.whl (510 kB) Collecting requests<3.0.0,>=2.24.0 Using cached requests-2.25.1-py2.py3-none-any.whl (61 kB) Collecting typing-extensions<3.8.0,>=3.7.0 Using cached typing_extensions-3.7.4.3-py3-none-any.whl (22 kB) Collecting six>=1.5.2 Using cached six-1.15.0-py2.py3-none-any.whl (10 kB) Collecting docopt Using cached docopt-0.6.2-py2.py3-none-any.whl Collecting pyparsing<3,>=2.4.2 Using cached pyparsing-2.4.7-py2.py3-none-any.whl (67 kB) Collecting pyasn1-modules>=0.0.5 Using cached pyasn1_modules-0.2.8-py2.py3-none-any.whl (155 kB) Collecting rsa>=3.1.4 Using cached rsa-4.7.2-py3-none-any.whl (34 kB) Collecting pyasn1>=0.1.7 Using cached pyasn1-0.4.8-py2.py3-none-any.whl (77 kB) Collecting urllib3<1.27,>=1.21.1 Using cached urllib3-1.26.4-py2.py3-none-any.whl (153 kB) Collecting chardet<5,>=3.0.2 Using cached chardet-4.0.0-py2.py3-none-any.whl (178 kB) Collecting certifi>=2017.4.17 Using cached certifi-2020.12.5-py2.py3-none-any.whl (147 kB) Collecting idna<3,>=2.5 Using cached idna-2.10-py2.py3-none-any.whl (58 kB) Installing collected packages: urllib3, pyparsing, pyasn1, idna, chardet, certifi, six, rsa, requests, pyasn1-modules, numpy, httplib2, docopt, typing-extensions, pytz, python-dateutil, pymongo, pydot, pyarrow, protobuf, oauth2client, hdfs, grpcio, future, fastavro, dill, crcmod, avro-python3, apache-beam Running setup.py develop for apache-beam Successfully installed apache-beam avro-python3-1.9.2.1 certifi-2020.12.5 chardet-4.0.0 crcmod-1.7 dill-0.3.1.1 docopt-0.6.2 fastavro-1.4.0 future-0.18.2 grpcio-1.37.0 hdfs-2.6.0 httplib2-0.19.1 idna-2.10 numpy-1.20.2 oauth2client-4.1.3 protobuf-3.15.8 pyarrow-3.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pydot-1.4.2 pymongo-3.11.3 pyparsing-2.4.7 python-dateutil-2.8.1 pytz-2021.1 requests-2.25.1 rsa-4.7.2 six-1.15.0 typing-extensions-3.7.4.3 urllib3-1.26.4 PIPELINE_PY=" import apache_beam as beam from apache_beam.options.pipeline_options import PipelineOptions from apache_beam.options.pipeline_options import SetupOptions from apache_beam.testing.util import assert_that from apache_beam.testing.util import equal_to from apache_beam.transforms import Create from apache_beam.transforms import Map # To test that our main session is getting plumbed through artifact staging # correctly, create a global variable. If the main session is not plumbed # through properly, global_var will be undefined and the pipeline will fail. global_var = 1 pipeline_options = PipelineOptions() pipeline_options.view_as(SetupOptions).save_main_session = True pipeline = beam.Pipeline(options=pipeline_options) pcoll = (pipeline | Create([0, 1, 2]) | Map(lambda x: x + global_var)) assert_that(pcoll, equal_to([1, 2, 3])) result = pipeline.run() result.wait_until_finish() " if [[ "$RUNNER" = "FlinkRunner" ]]; then INPUT_JAR_ARG="flink_job_server_jar" else INPUT_JAR_ARG="spark_job_server_jar" fi # Create the jar OUTPUT_JAR="test-pipeline-${RUNNER}-$(date +%Y%m%d-%H%M%S).jar" date +%Y%m%d-%H%M%S (python -c "$PIPELINE_PY" \ --runner "$RUNNER" \ --"$INPUT_JAR_ARG" "$JOB_SERVER_JAR" \ --output_executable_path $OUTPUT_JAR \ --parallelism 1 \ --sdk_worker_parallelism 1 \ --environment_type DOCKER \ --environment_options "docker_container_image=$PYTHON_CONTAINER_IMAGE" \ ) || TEST_EXIT_CODE=$? # don't fail fast here; clean up before exiting WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter. WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--parallelism', '1'] if [[ "$TEST_EXIT_CODE" -eq 0 ]]; then # Execute the jar java -jar $OUTPUT_JAR || TEST_EXIT_CODE=$? fi Exception in thread "main" java.lang.RuntimeException: Job BeamApp-jenkins-0419061716-b29dd876_44713a5b-2c36-4a07-9d97-532f73b478f6 failed. at org.apache.beam.runners.spark.SparkPipelineRunner.main(SparkPipelineRunner.java:270) Caused by: java.lang.NullPointerException at org.apache.beam.runners.spark.SparkPipelineRunner.run(SparkPipelineRunner.java:120) at org.apache.beam.runners.spark.SparkPipelineRunner.main(SparkPipelineRunner.java:268) rm -rf $ENV_DIR rm -f $OUTPUT_JAR if [[ "$TEST_EXIT_CODE" -eq 0 ]]; then echo ">>> SUCCESS" else >>> FAILURE echo ">>> FAILURE" fi exit $TEST_EXIT_CODE > Task :sdks:python:test-suites:portable:py37:testJavaJarCreatorSparkRunner > FAILED FAILURE: Build failed with an exception. * Where: Script '<https://ci-beam.apache.org/job/beam_PostCommit_PortableJar_Spark/ws/src/sdks/python/test-suites/portable/common.gradle'> line: 211 * What went wrong: Execution failed for task ':sdks:python:test-suites:portable:py37:testJavaJarCreatorSparkRunner'. > Process 'command 'sh'' finished with non-zero exit value 1 * Try: Run with --stacktrace option to get the stack trace. Run with --info or --debug option to get more log output. Run with --scan to get full insights. * Get more help at https://help.gradle.org Deprecated Gradle features were used in this build, making it incompatible with Gradle 7.0. Use '--warning-mode all' to show the individual deprecation warnings. See https://docs.gradle.org/6.8.3/userguide/command_line_interface.html#sec:command_line_warnings BUILD FAILED in 17m 40s 89 actionable tasks: 63 executed, 24 from cache, 2 up-to-date Gradle was unable to watch the file system for changes. The inotify watches limit is too low. Publishing build scan... https://gradle.com/s/qb54ymrljvtko Build step 'Invoke Gradle script' changed build result to FAILURE Build step 'Invoke Gradle script' marked build as failure --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
