2

我能够使用 DataflowPipelineRunner 和文档中显示的 maven exec:java 命令成功运行 WordCount 示例。

但是，当我尝试在自己的 1.8 VM 中运行它时，它不起作用。我正在使用这些参数（在 Windows 上）：

--project=highfive-metrics-service \
--stagingLocation=gs://highfive-dataflow-test/staging \
--runner=BlockingDataflowPipelineRunner \
--gCloudPath=C:/Progra~1/Google/CloudS~1/google-cloud-sdk/bin/gcloud.cmd

我收到以下错误：

2014-12-24T04:53:34.849Z: (5eada047929dcead): Workflow failed. Causes: (5eada047929dce2e): There was a problem creating the GCE VMs or starting Dataflow on the VMs so no data was processed.  Possible causes:
  1. A failure in user code on in the worker.
  2. A failure in the Dataflow code.
Next Steps:
  1. Check the GCE serial console for possible errors in the logs.
  2. Look for similar issues on http://stackoverflow.com/questions/tagged/google-cloud-dataflow.

在随后的清理之前，我按预期在 GCE 上观察了三个线束实例。查看第一个串行控制台，wordcount-jroy-1224043800-12232038-8cfa-harness-0，我看到“正常”（与我在使用 Maven 运行时看到的相比）看起来以以下结尾的输出：

Dec 24 04:38:45 [   16.443484] IPv6: ADDRCONF(NETDEV_CHANGE): docker0: link becomes ready
wordcount-jroy-1224043800-12232038-8cfa-harness-0 kernel: [   16.438005] IPv6: ADDRCONF(NETDEV_CHANGE): veth30b3796: link becomes ready
Dec 24 04:38:45 wordcount-jroy-1224043800-12232038-8cfa-harness-0 kernel: [   16.439395] docker0: port 1(veth30b3796) entered forwarding state
Dec 24 04:38:45 wordcount-jroy-1224043800-12232038-8cfa-harness-0 kernel: [   16.440262] docker0: port 1(veth30b3796) entered forwarding state
Dec 24 04:38:45 wordcount-jroy-1224043800-12232038-8cfa-harness-0 kernel: [   16.443484] IPv6: ADDRCONF(NETDEV_CHANGE): docker0: link becomes ready
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed

  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0
100 12898  100 12898    0     0  2009k      0 --:--:-- --:--:-- --:--:-- 3148k
Dec 24 04:38:45 wordcount-jroy-1224043800-12232038-8cfa-harness-0 google: {"attributes":{"config":"{\"alsologtostderr\":true,\"base_task_dir\":\"/tmp/tasks/\",\"commandlines_file_name\":\"commandlines.txt\",\"continue_on_exception\":true,\"dataflow_api_endpoint\":\"https://www.googleapis.com/\",\"dataflow_api_version\":\"v1beta1\",\"log_dir\":\"/dataflow/logs/taskrunner/harness\",\"log_to_gcs\":true,\"log_to_serialconsole\":true,\"parallel_worker_flags\":{\"job_id\":\"2014-12-23_20_38_16.593375-08_10.48.106.68_-469744588\",\"project_id\":\"highfive-metrics-service\",\"reporting_enabled\":true,\"root_url\":\"https://www.googleapis.com/\",\"service_path\":\"dataflow/v1b3/projects/\",\"temp_gcs_directory\":\"gs://highfive-dataflow-test/staging\",\"worker_id\":\"wordcount-jroy-1224043800-12232038-8cfa-harness-0\"},\"project_id\":\"highfive-metrics-service\",\"python_harness_cmd\":\"python_harness_main\",\"scopes\":[\"https://www.googleapis.com/auth/devstorage.full_control\",\"https://www.googleapis.com/auth/cloud-platform\"],\"task_group\":\"nogroup\",\"task_user\":\"nobody\",\"temp_g
Dec 24 04:38:45 wordcount-jroy-1224043800-12232038-8cfa-harness-0 goo[   16.494163] device veth29b6136 entered promiscuous mode
gle: cs_directory\":\"gs://highfive-dataflow-test/staging\",\"vm_id\":\"wordcoun[   16.505311] IPv6: ADDRCONF(NETDEV_UP): veth29b6136: link is not ready
[   16.507623] docker0: port 2(veth29b6136) entered forwarding state
t-jroy-122404380[   16.507633] docker0: port 2(veth29b6136) entered forwarding state
0-12232038-8cfa-harness-0\"}","google-container-manifest":"\ncontainers:\n-\n env:\n -\n name: GCS_BUCKET\n value: dataflow-docker-images\n image: google/docker-registry\n imagePullPolicy: PullNever\n name: repository\n ports:\n -\n containerPort: 5000\n hostPort: 5000\n name: registry\n-\n image: localhost:5000/dataflow/taskrunner:20141217-rc00 \n imagePullPolicy: PullIfNotPresent\n name: taskrunner\n volumeMounts:\n -\n mountPath: /dataflow/logs/taskrunner/harness\n name: dataflowlogs-harness\n-\n env:\n -\n name: LOG_DIR\n value: /dataflow/logs\n image: localhost:5000/dataflow/shuffle:20141217-rc00 \n imagePullPolicy: PullIfNotPresent\n name: shuffle\n ports:\n -\n containerPort: 12345\n hostPort: 12345\n name: shuffle1\n -\n containerPort: 22349\n hostPort: 22349\n name: shuffle2\n volumeMounts:\n -\n mountPath: /var/shuffle\n name: dataflow-shuffle\n -\n mountPath: /dataflow/logs\n name: dataflow-logs\nversion: v1
Dec 24 04:38:45 wordcount-jroy-1224043800-12232038-8cfa-harness-0 google: beta2\nvolumes:\n-\n name: dataflowlogs-harness\n source:\n hostDir:\n path: /var/log/dataflow/taskrunner/harness\n-\n name: dataflow-shuffle\n source:\n hostDir:\n path: /dataflow/shuffle\n-\n name: dataflow-logs\n source:\n hostDir:\n path: /var/log/dataflow/shuffle\n","job_id":"2014-12-23_20_38_16.593375-08_10.48.106.68_-469744588","packages":"gs://dataflow-releases-prod/worker_packages/NOTICES.shuffle|NOTICES.shuffler|gs://highfive-dataflow-test/staging/access-bridge-64-fE-vq3Wgxy5FvnwmA5YdzQ.jar|access-bridge-64-fE-vq3Wgxy5FvnwmA5YdzQ.jar|gs://highfive-dataflow-test/staging/avro-1.7.7-dTlef6huetK-4IFERNhcqA.jar|avro-1.7.7-dTlef6huetK-4IFERNhcqA.jar|gs://highfive-dataflow-test/staging/charsets-7HC8Y2_U4k8yfkY6e4lxnw.jar|charsets-7HC8Y2_U4k8yfkY6e4lxnw.jar|gs://highfive-dataflow-test/staging/cldrdata-A4PVsm4mesLVUWOTKV5dhQ.jar|cldrdata-A4PVsm4mesLVUWOTKV5dhQ.jar|gs://highfive-dataflow-test/staging/commons-codec-1.3-2I5AW2KkklMQs3emwoFU5Q.jar|commons-codec-1.3-2I5AW2KkklMQs3emwoFU5Q.jar|gs://highfive-dataf
Dec 24 04:38:45 wordcount-jroy-1224043800-12232038-8cfa-harness-0 google: low-test/staging/commons-compress-1.4.1-uyvcB16Wfp4wnt8X1Uqi4w.jar|commons-compress-1.4.1-uyvcB16Wfp4wnt8X1Uqi4w.jar|gs://highfive-dataflow-test/staging/commons-logging-1.1.1-blBISC6STJhwBOT8Ksr3NQ.jar|commons-logging-1.1.1-blBISC6STJhwBOT8Ksr3NQ.jar|gs://highfive-dataflow-test/staging/dataflow-test-YIJKUxARCp14MLdWzNdBdQ.zip|dataflow-test-YIJKUxARCp14MLdWzNdBdQ.zip|gs://highfive-dataflow-test/staging/deploy-eLnif2izXW_mrleXudK0Eg.jar|deploy-eLnif2izXW_mrleXudK0Eg.jar|gs://highfive-dataflow-test/staging/dnsns-hmxeUSrhtJou0Wo-UoCjTw.jar|dnsns-hmxeUSrhtJou0Wo-UoCjTw.jar|gs://highfive-dataflow-test/staging/google-api-client-1.19.0-YgeHY_Y9dPd2PwGBWwvmmw.jar|google-api-client-1.19.0-YgeHY_Y9dPd2PwGBWwvmmw.jar|gs://highfive-dataflow-test/staging/google-api-services-bigquery-v2-rev167-1.19.0-mNojB6wqlFqAd2G9Zo7o5w.jar|google-api-services-bigquery-v2-rev167-1.19.0-mNojB6wqlFqAd2G9Zo7o5w.jar|gs://highfive-dataflow-test/staging/google-api-services-compute-v1-rev34-1.19.0-yR5ItN9uOowLPyMiTckyCA.jar|google-api-services
Dec 24 04:38:45 wordcount-jroy-1224043800-12232038-8cfa-harness-0 google: -compute-v1-rev34-1.19.0-yR5ItN9uOowLPyMiTckyCA.jar|gs://highfive-dataflow-test/staging/google-api-services-dataflow-v1beta3-rev1-1.19.0-Cg8Pyd4F0t7yqSE4E7v7Rg.jar|google-api-services-dataflow-v1beta3-rev1-1.19.0-Cg8Pyd4F0t7yqSE4E7v7Rg.jar|gs://highfive-dataflow-test/staging/google-api-services-datastore-protobuf-v1beta2-rev1-2.1.0-UxLefoYWxF5K1EpQjKMJ4w.jar|google-api-services-datastore-protobuf-v1beta2-rev1-2.1.0-UxLefoYWxF5K1EpQjKMJ4w.jar|gs://highfive-dataflow-test/staging/google-api-services-pubsub-v1beta1-rev9-1.19.0-7E1jg5ZyfaqZBCHY18fPkQ.jar|google-api-services-pubsub-v1beta1-rev9-1.19.0-7E1jg5ZyfaqZBCHY18fPkQ.jar|gs://highfive-dataflow-test/staging/google-api-services-storage-v1-rev11-1.19.0-8roIrNilTlO2ZqfGfOaqkg.jar|google-api-services-storage-v1-rev11-1.19.0-8roIrNilTlO2ZqfGfOaqkg.jar|gs://highfive-dataflow-test/staging/google-cloud-dataflow-java-examples-all-manual_build-A9j6W_hzOlq6PBrg1oSIAQ.jar|google-cloud-dataflow-java-examples-all-manual_build-A9j6W_hzOlq6PBrg1oSIAQ.jar|gs://highfive-dataf
Dec 24 04:38:45 wordcount-jroy-1224043800-12232038-8cfa-harness-0 google: low-test/staging/google-cloud-dataflow-java-examples-all-manual_build-tests-iIdI-AhKWiVKTuJzU5JxcQ.jar|google-cloud-dataflow-java-examples-all-manual_build-tests-iIdI-AhKWiVKTuJzU5JxcQ.jar|gs://highfive-dataflow-test/staging/google-cloud-dataflow-java-sdk-all-alpha-PqdZNVZwhs6ixh6de6vM7A.jar|google-cloud-dataflow-java-sdk-all-alpha-PqdZNVZwhs6ixh6de6vM7A.jar|gs://highfive-dataflow-test/staging/google-http-client-1.19.0-1Vc3U5mogjNLbpTK7NVwDg.jar|google-http-client-1.19.0-1Vc3U5mogjNLbpTK7NVwDg.jar|gs://highfive-dataflow-test/staging/google-http-client-jackson-1.15.0-rc-oW6nFU6Gme53SYGJ9KlNbA.jar|google-http-client-jackson-1.15.0-rc-oW6nFU6Gme53SYGJ9KlNbA.jar|gs://highfive-dataflow-test/staging/google-http-client-jackson2-1.19.0-AOUP2FfuHtACTs_0sul54A.jar|google-http-client-jackson2-1.19.0-AOUP2FfuHtACTs_0sul54A.jar|gs://highfive-dataflow-test/staging/google-http-client-protobuf-1.15.0-rc-xYoprQdNcvzuQGZXvJ3ZaQ.jar|google-http-client-protobuf-1.15.0-rc-xYoprQdNcvzuQGZXvJ3ZaQ.jar|gs://highfive-dataflow-test/st
Dec 24 04:38:45 wordcount-jroy-1224043800-12232038-8cfa-harness-0 google: aging/google-oauth-client-1.19.0-b3S5WqgD7iWrwg38pfg3Xg.jar|google-oauth-client-1.19.0-b3S5WqgD7iWrwg38pfg3Xg.jar|gs://highfive-dataflow-test/staging/google-oauth-client-java6-1.19.0-cP8xzICJnsNlhTfaS0egcg.jar|google-oauth-client-java6-1.19.0-cP8xzICJnsNlhTfaS0egcg.jar|gs://highfive-dataflow-test/staging/guava-18.0-HtxcCcuUqPt4QL79yZSvag.jar|guava-18.0-HtxcCcuUqPt4QL79yZSvag.jar|gs://highfive-dataflow-test/staging/hamcrest-all-1.3-n3_QBeS4s5a8ffbBPQIpFQ.jar|hamcrest-all-1.3-n3_QBeS4s5a8ffbBPQIpFQ.jar|gs://highfive-dataflow-test/staging/hamcrest-core-1.3-DvCZoZPq_3EWA4TcZlVL6g.jar|hamcrest-core-1.3-DvCZoZPq_3EWA4TcZlVL6g.jar|gs://highfive-dataflow-test/staging/httpclient-4.0.1-sfocsPjEBE7ppkUpSIJZkA.jar|httpclient-4.0.1-sfocsPjEBE7ppkUpSIJZkA.jar|gs://highfive-dataflow-test/staging/httpcore-4.0.1-_SGEPUOMREqA8u_h7qy9_w.jar|httpcore-4.0.1-_SGEPUOMREqA8u_h7qy9_w.jar|gs://highfive-dataflow-test/staging/idea_rt-6II88e1BKUeCOQqcrZht-w.jar|idea_rt-6II88e1BKUeCOQqcrZht-w.jar|gs://highfive-dataflow-test/staging/jacce
Dec 24 04:38:45 wordcount-jroy-1224043800-12232038-8cfa-harness-0 google: ss-laKenN34W6jKKivkBUzVcA.jar|jaccess-laKenN34W6jKKivkBUzVcA.jar|gs://highfive-dataflow-test/staging/jackson-annotations-2.4.2-7cAfM1zz0nmoSOC_NlRIcw.jar|jackson-annotations-2.4.2-7cAfM1zz0nmoSOC_NlRIcw.jar|gs://highfive-dataflow-test/staging/jackson-core-2.4.2-3CV4j5-qI7Y-1EADAiakmw.jar|jackson-core-2.4.2-3CV4j5-qI7Y-1EADAiakmw.jar|gs://highfive-dataflow-test/staging/jackson-core-asl-1.9.13-Ht2i1DaJ57v29KlMROpA4Q.jar|jackson-core-asl-1.9.13-Ht2i1DaJ57v29KlMROpA4Q.jar|gs://highfive-dataflow-test/staging/jackson-databind-2.4.2-M7rkZKQCfOO3vWkOyf9BKg.jar|jackson-databind-2.4.2-M7rkZKQCfOO3vWkOyf9BKg.jar|gs://highfive-dataflow-test/staging/jackson-mapper-asl-1.9.13-eoeZFbovPzo033HQKy6x_Q.jar|jackson-mapper-asl-1.9.13-eoeZFbovPzo033HQKy6x_Q.jar|gs://highfive-dataflow-test/staging/javaws-O8JqID6BpsXsCSRRkhii3w.jar|javaws-O8JqID6BpsXsCSRRkhii3w.jar|gs://highfive-dataflow-test/staging/jce-eMjjWzdqQh30yNZ9HMuXMA.jar|jce-eMjjWzdqQh30yNZ9HMuXMA.jar|gs://highfive-dataflow-test/staging/jfr-xDzacRGMQeIR4SdPe69o1A.jar|jfr
Dec 24 04:38:45 wordcount-jroy-1224043800-12232038-8cfa-harness-0 google: -xDzacRGMQeIR4SdPe69o1A.jar|gs://highfive-dataflow-test/staging/jfxrt-5aSYnU7M458Xy_hx5zXF8w.jar|jfxrt-5aSYnU7M458Xy_hx5zXF8w.jar|gs://highfive-dataflow-test/staging/jfxswt-X8I_DFy9gs_6LMLp6_LFPA.jar|jfxswt-X8I_DFy9gs_6LMLp6_LFPA.jar|gs://highfive-dataflow-test/staging/joda-time-2.4-EIO48_0LMn2_imYqUT5jxA.jar|joda-time-2.4-EIO48_0LMn2_imYqUT5jxA.jar|gs://highfive-dataflow-test/staging/jsr305-1.3.9-ntb9Wy3-_ccJ7t2jV2Tb3g.jar|jsr305-1.3.9-ntb9Wy3-_ccJ7t2jV2Tb3g.jar|gs://highfive-dataflow-test/staging/jsse-HOItnWzBlT4hG5HPmlF56w.jar|jsse-HOItnWzBlT4hG5HPmlF56w.jar|gs://highfive-dataflow-test/staging/junit-4.11-lCgz3FeSwzD13Q_KNW4MuQ.jar|junit-4.11-lCgz3FeSwzD13Q_KNW4MuQ.jar|gs://highfive-dataflow-test/staging/localedata-R9ei3T8qar8cibFNN0X7Qg.jar|localedata-R9ei3T8qar8cibFNN0X7Qg.jar|gs://highfive-dataflow-test/staging/management-agent-kiuGeHiVpYKGCDNexcQPIg.jar|management-agent-kiuGeHiVpYKGCDNexcQPIg.jar|gs://highfive-dataflow-test/staging/mockito-all-1.9.5-_T4jPTp05rc7PhcOO34Saw.jar|mockito-all-1.9.5-_T4jPTp0
Dec 24 04:38:45 wordcount-jroy-1224043800-12232038-8cfa-harness-0 google: 5rc7PhcOO34Saw.jar|gs://highfive-dataflow-test/staging/nashorn-x8si6abt-U04QaVUHvl_bg.jar|nashorn-x8si6abt-U04QaVUHvl_bg.jar|gs://highfive-dataflow-test/staging/paranamer-2.3-rdmhSrp7GRPVm0JexWjzzg.jar|paranamer-2.3-rdmhSrp7GRPVm0JexWjzzg.jar|gs://highfive-dataflow-test/staging/plugin-TG6U30mOzKi8yMGKYd7ong.jar|plugin-TG6U30mOzKi8yMGKYd7ong.jar|gs://highfive-dataflow-test/staging/protobuf-java-2.5.0-g0LcHblB4cg-bZEbNj3log.jar|protobuf-java-2.5.0-g0LcHblB4cg-bZEbNj3log.jar|gs://highfive-dataflow-test/staging/resources-RavNZwakZf55HEtrC9KyCw.jar|resources-RavNZwakZf55HEtrC9KyCw.jar|gs://highfive-dataflow-test/staging/rt-Z2kDZdIt-eG8CCtFIinW1g.jar|rt-Z2kDZdIt-eG8CCtFIinW1g.jar|gs://highfive-dataflow-test/staging/slf4j-api-1.7.7-M8fOZEWF4TcHiUbfZmJY7A.jar|slf4j-api-1.7.7-M8fOZEWF4TcHiUbfZmJY7A.jar|gs://highfive-dataflow-test/staging/slf4j-jdk14-1.7.7-hDm19oG8Vzi6jVY9pLtr_g.jar|slf4j-jdk14-1.7.7-hDm19oG8Vzi6jVY9pLtr_g.jar|gs://highfive-dataflow-test/staging/snappy-java-1.0.5-WxwEQNTeXiDmEGBuY9O3Og.jar|snappy-java
Dec 24 04:38:45 wordcount-jroy-1224043800-12232038-8cfa-harness-0 google: -1.0.5-WxwEQNTeXiDmEGBuY9O3Og.jar|gs://highfive-dataflow-test/staging/sunec-ffsdkJzKsC8XbuZa-XHp3Q.jar|sunec-ffsdkJzKsC8XbuZa-XHp3Q.jar|gs://highfive-dataflow-test/staging/sunjce_provider-4x9-ynTri_pg6Hhk2Zj9Ow.jar|sunjce_provider-4x9-ynTri_pg6Hhk2Zj9Ow.jar|gs://highfive-dataflow-test/staging/sunmscapi-5TwnMDAci3Hf47yMZYmN1g.jar|sunmscapi-5TwnMDAci3Hf47yMZYmN1g.jar|gs://highfive-dataflow-test/staging/sunpkcs11-vCiFLLKN99XBpHW2JTkOBw.jar|sunpkcs11-vCiFLLKN99XBpHW2JTkOBw.jar|gs://highfive-dataflow-test/staging/xz-1.0-6m1HjeacPsPpniZtMte8kw.jar|xz-1.0-6m1HjeacPsPpniZtMte8kw.jar|gs://highfive-dataflow-test/staging/zipfs-SIKQJJIhpGOgSa4tT6nStA.jar|zipfs-SIKQJJIhpGOgSa4tT6nStA.jar"},"description":"GCE Instance created for Dataflow","disks":[{"deviceName":"persistent-disk-0","index":0,"mode":"READ_WRITE","type":"PERSISTENT"}],"hostname":"wordcount-jroy-1224043800-12232038-8cfa-harness-0.c.highfive-metrics-service.internal","id":8960015560553137779,"image":"","machineType":"projects/537312487774/machineTypes/n1-stan
Dec 24 04:38:45 wordcount-jroy-1224043800-12232038-8cfa-harness-0 google: dard-4","maintenanceEvent":"NONE","networkInterfaces":[{"accessConfigs":[{"externalIp":"130.211.184.44","type":"ONE_TO_ONE_NAT"}],"forwardedIps":[],"ip":"10.240.173.213","network":"projects/537312487774/networks/default"}],"scheduling":{"automaticRestart":"TRUE","onHostMaintenance":"MIGRATE"},"serviceAccounts":{"537312487774@developer.gserviceaccount.com":{"aliases":["default"],"email":"537312487774@developer.gserviceaccount.com","scopes":["https://www.googleapis.com/auth/any-api","https://www.googleapis.com/auth/bigquery","https://www.googleapis.com/auth/cloud-platform","https://www.googleapis.com/auth/compute","https://www.googleapis.com/auth/datastore","https://www.googleapis.com/auth/devstorage.full_control","https://www.googleapis.com/auth/logging.write","https://www.googleapis.com/auth/ndev.cloudman","https://www.googleapis.com/auth/pubsub","https://www.googleapis.com/auth/userinfo.email"]},"default":{"aliases":["default"],"email":"537312487774@developer.gserviceaccount.com","scopes":["https://www.goog
Dec 24 04:38:45 wordcount-jroy-1224043800-12232038-8cfa-harness-0 google: leapis.com/auth/any-api","https://www.googleapis.com/auth/bigquery","https://www.googleapis.com/auth/cloud-platform","https://www.googleapis.com/auth/compute","https://www.googleapis.com/auth/datastore","https://www.googleapis.com/auth/devstorage.full_control","https://www.googleapis.com/auth/logging.write","https://www.googleapis.com/auth/ndev.cloudman","https://www.googleapis.com/auth/pubsub","https://www.googleapis.com/auth/userinfo.email"]}},"tags":["dataflow"],"zone":"projects/537312487774/zones/us-central1-a"}
Dec 24 04:38:45 wordcount-jroy-1224043800-12232038-8cfa-harness-0 google: No startup script found in metadata.

不知道我应该寻找什么，但这似乎以这种方式对我来说确实失败了。当我尝试运行自己的自定义管道（即不是 WordCount）以及在 Linux 上运行 WordCount 示例时，我看到了同样的问题。

我保存了我录制的文件：

  • WordCount 主类的完整输出
  • GCE 实例上设置的元数据字段值
  • 完整的串行控制台输出

它可以在这里找到。

到目前为止我尝试过的事情，但没有成功：

  • 强制编译类的语言级别为 1.7（我使用 1.8 JRE）
  • 修改 DataflowPipelineRunner::detectClassPathResourcesToStage 以不发出 JRE jar 文件（这是我在日志中注意到的与 Maven 相比的差异；在 Maven 下运行时，JRE jar 不会暂存）。
  • 编辑：尝试将类路径设置为与 Maven 最终使用的完全相同（删除我们所有项目的依赖项）。这似乎稍微改变了行为，我得到java.lang.ClassNotFoundException: com.google.cloud.dataflow.examples.WordCount$ExtractWordsFn了工人输出。

强烈怀疑问题出在暂存的类路径上，但没有更具体的错误消息，我在黑暗中拍摄。将不胜感激下一步在哪里寻找或尝试其他事情的想法。

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3 回答 3

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使用[Blocking]DataflowPipelineRunnerCloud Dataflow Java SDK 运行管道时，运行程序会自动将本地 Java 类路径中的所有内容复制到 Google Cloud Storage 中的暂存位置，工作人员可以按需访问该位置。

ClassNotFoundException在 Cloud Dataflow 工作器环境中，表明您的管道所需的依赖项未正确暂存于 Google Cloud Storage 存储桶中。这个可能的根本原因可以通过在 Google Developers Console 中查看暂存存储桶的内容和BlockingDataflowPipelineRunner.

现在，可以通过将所有依赖项捆绑到一个单一的整体 jar 中来解决该问题。在 Maven 中，只要将 bundle 插件正确配置为嵌入所有传递依赖项，就可以使用以下命令创建这样的 jar：

mvn bundle:bundle

然后，捆绑的jar就可以正常执行了，比如：

java -cp <bundled jar> <main class> --project=<project> ...

或者，可以通过手动将依赖项添加到本地类路径来解决问题。例如，以下命令在运行未捆绑的 jar 时可能会有所帮助：

java -cp <unbundled jar>:<dep1>:<dep2>:...:<depN> <main class> --project=<project> ...

执行程序所需的所有依赖项dep1在哪里。depN这显然容易出错，我们不认可它。我们的文档建议使用mvn exec:java，因为它会根据 POM 文件中列出的依赖项自动设置执行类路径。具体来说，要运行 WordCount 示例，请使用：

mvn exec:java -pl examples \
-Dexec.mainClass=com.google.cloud.dataflow.examples.WordCount \
-Dexec.args="--project=<YOUR GCP PROJECT NAME> --stagingLocation=<YOUR GCS LOCATION> --runner=BlockingDataflowPipelineRunner"

捆绑版本和非捆绑版本之间的主要区别在于管道提交之前的上传活动。非捆绑版本的一个优点是它可以自动使用以前提交中可能已上传的未更改依赖项。

总而言之，mvn exec:java在运行未捆绑的 jar 时使用，或者将依赖项捆绑到一个整体 jar 中。我们将尝试在文档中澄清这一点。

于 2014-12-30T22:47:53.497 回答
1

这很有可能是暂存依赖项的问题。

如果您创建一个捆绑的 jar，它很有可能会起作用。您可以通过运行命令创建捆绑的 jar

mvn bundle:bundle

这将创建一个 jar，该 jar 应该可传递地引入所有依赖项。然后，您只需将该 jar 添加到您的类路径中，Dataflow 应该会自动暂存它；从而确保您的代码以及任何依赖项在工作人员上可用。

这项工作很可能与 mvn exec 一起工作，因为 maven 会自动生成一个包含来自 POM 的所有依赖项的类路径。手动运行时，不会发生这种情况。即，如果您直接调用 java，例如

java -cp <JAR FILES> your.main.class --project=<YOUR PROJECT> ....

那么您必须将所有依赖项添加到类路径中，以便它们被暂存。按照上面的建议创建一个捆绑的 jar 通常是最简单的方法。

于 2014-12-29T01:26:42.413 回答
0

我的建议是查看工作人员日志，看看我们是否可以找到有关工作人员正在发生的事情的更多信息。

可以通过三种方式获取此信息。第一个是通过数据流 UI。转到 Google Cloud Console，然后选择左侧框架中的 Dataflow 选项。您应该会看到一份工作列表。您可以点击相关工作。这应该向您显示您的工作图表。在右侧，您应该会看到一个“查看日志”按钮。请点击那个。然后，您应该会看到用于导航日志的 UI，并且可以查找错误。

第二个选项是在 GCS 上查找日志。寻找的位置是：

gs://PATH 到您的暂存目录/logs/JOB-ID/VM-ID/LOG-FILE

您可能会看到多个日志文件。我们最感兴趣的是以“start_java_worker”开头的那个。如果该日志文件不存在，则工作人员没有取得足够的进展来实际上传文件；否则上传日志文件可能存在权限问题。

在这种情况下，最好的办法是在其中一个 VM 被拆除之前尝试通过 ssh 连接到它。在作业失败并删除虚拟机之前，您应该有大约 15 分钟的时间。

登录虚拟机后，您可以找到所有登录信息

/var/log/数据流/...

此时我们最关心的日志是：

/var/log/dataflow/taskrunner/harness/start_java_worker-SOME ID.log

如果启动在 VM 上运行的代码时出现问题，该日志应该会告诉我们。该日志和其他日志还应该告诉我们是否存在阻止工作人员上运行的代码能够访问 Dataflow 的权限问题。

如果您发现任何问题，请查看并告诉我们。

于 2014-12-25T00:48:01.207 回答