Google cloud dataflow 工作池缩小时出错："；无法在不丢失活动无序排列数据的情况下缩小尺寸”；

更新至最新SDK版本0.3.150326，由于此错误，我们的作业失败：

（d0f58ccaf368cf1f）：工作流失败。原因：（539037ea87656484）： 如果不丢失活动无序排列数据，则无法缩小大小。旧尺寸=10， 新尺寸=8

工作编号：2015-04-02_21_26_53-11930390736602232537

无法复制，但我想我应该问一下这是否是一个已知的问题

综上所述，自动缩放目前似乎只是“实验性的”，但我可以想象这是云数据流的核心功能，因此应该得到充分支持

1087 [main] INFO  com.google.cloud.dataflow.sdk.runners.DataflowPipelineRunner  - Executing pipeline on the Dataflow Service, which will have billing implications related to Google Compute Engine usage and other Google Cloud Services.
1103 [main] INFO  com.google.cloud.dataflow.sdk.util.PackageUtil  - Uploading 79 files from PipelineOptions.filesToStage to GCS to prepare for execution in the cloud.
43086 [main] INFO  com.google.cloud.dataflow.sdk.util.PackageUtil  - Uploading PipelineOptions.filesToStage complete: 2 files newly uploaded, 77 files cached
Dataflow SDK version: 0.3.150326
57718 [main] INFO  com.google.cloud.dataflow.sdk.runners.DataflowPipelineRunner  - To access the Dataflow monitoring console, please navigate to https://console.developers.google.com/project/gdfp-7414/dataflow/job/2015-04-02_21_26_53-11930390736602232537
Submitted job: 2015-04-02_21_26_53-11930390736602232537
2015-04-03T04:26:54.710Z: (3a5437c7f9c6e33f): Expanding GroupByKey operations into optimizable parts.
2015-04-03T04:26:54.714Z: (3a5437c7f9c6e8dd): Annotating graph with Autotuner information.
2015-04-03T04:26:55.436Z: (3a5437c7f9c6e85b): Fusing adjacent ParDo, Read, Write, and Flatten operations
2015-04-03T04:26:55.453Z: (3a5437c7f9c6efad): Fusing consumer denormalized-write-to-BQ into events-denormalize
2015-04-03T04:26:55.455Z: (3a5437c7f9c6e54b): Fusing consumer events-denormalize into events-read-from-BQ
2015-04-03T04:26:55.457Z: (3a5437c7f9c6eae9): Fusing consumer unmapped-write-to-BQ into events-denormalize
2015-04-03T04:26:55.504Z: (3a5437c7f9c6e67d): Adding StepResource setup and teardown to workflow graph.
2015-04-03T04:26:55.525Z: (971aceaf96c03b86): Starting the input generators.
2015-04-03T04:26:55.546Z: (ea598353613cc1d3): Adding workflow start and stop steps.
2015-04-03T04:26:55.548Z: (ea598353613ccd39): Assigning stage ids.
2015-04-03T04:26:56.017Z: S07: (fb31ac3e5c3be05a): Executing operation WeightingFactor
2015-04-03T04:26:56.024Z: S09: (ee7049b2bfe3f48c): Executing operation Name_Community
2015-04-03T04:26:56.037Z: (3a5437c7f9c6e293): Starting worker pool setup.
2015-04-03T04:26:56.042Z: (3a5437c7f9c6edcf): Starting 5 workers...
2015-04-03T04:26:56.047Z: S01: (a25730bd9d25e5ed): Executing operation Browser_mapping
2015-04-03T04:26:56.049Z: S11: (fb31ac3e5c3beb06): Executing operation WebsiteVHH
2015-04-03T04:26:56.051Z: (30eb1307dfc8372f): Value "Name_Community.out" materialized.
2015-04-03T04:26:56.065Z: (52e655ceeab44257): Value "WeightingFactor.out" materialized.
2015-04-03T04:26:56.072Z: S03: (c024e27994951718): Executing operation OS_mapping
2015-04-03T04:26:56.076Z: S10: (a3947955b25f3830): Executing operation AsIterable3/CreatePCollectionView
2015-04-03T04:26:56.087Z: (4c9eb5a54721c4f7): Value "WebsiteVHH.out" materialized.
2015-04-03T04:26:56.094Z: S05: (52e655ceeab4458a): Executing operation SA1_Area_Metro
2015-04-03T04:26:56.103Z: S08: (c024e279949513f4): Executing operation AsIterable2/CreatePCollectionView
2015-04-03T04:26:56.106Z: (4c9eb5a54721cd78): Value "AsIterable3/CreatePCollectionView.out" materialized.
2015-04-03T04:26:56.107Z: (58b58f637f29b69a): Value "OS_mapping.out" materialized.
2015-04-03T04:26:56.115Z: (f0587ec8b1f9f69f): Value "Browser_mapping.out" materialized.
2015-04-03T04:26:56.126Z: (a277f34c719a133): Value "SA1_Area_Metro.out" materialized.
2015-04-03T04:26:56.127Z: S12: (c024e279949510d0): Executing operation AsIterable4/CreatePCollectionView
2015-04-03T04:26:56.132Z: S04: (52e655ceeab44adf): Executing operation AsIterable6/CreatePCollectionView
2015-04-03T04:26:56.136Z: (f0587ec8b1f9fd86): Value "AsIterable2/CreatePCollectionView.out" materialized.
2015-04-03T04:26:56.141Z: S02: (eb97fca639a2101b): Executing operation AsIterable5/CreatePCollectionView
2015-04-03T04:26:56.151Z: S06: (8cc6100045f0af9b): Executing operation AsIterable/CreatePCollectionView
2015-04-03T04:26:56.159Z: (6da6e59d099e8c60): Value "AsIterable4/CreatePCollectionView.out" materialized.
2015-04-03T04:26:56.163Z: (4c9eb5a54721c5f9): Value "AsIterable6/CreatePCollectionView.out" materialized.
2015-04-03T04:26:56.173Z: (a3947955b25f3701): Value "AsIterable5/CreatePCollectionView.out" materialized.
2015-04-03T04:26:56.178Z: (58b58f637f29b853): Value "AsIterable/CreatePCollectionView.out" materialized.
2015-04-03T04:26:56.199Z: S13: (8cc6100045f0ac67): Executing operation events-read-from-BQ+events-denormalize+denormalized-write-to-BQ+unmapped-write-to-BQ
2015-04-03T04:26:56.653Z: (6153d4cd276be2a0): Autoscaling: Enabled for job /workflows/wf-2015-04-02_21_26_53-11930390736602232537
2015-04-03T04:30:31.754Z: (a94b4f451005c934): Autoscaling: Resizing worker pool from 5 to 10.
2015-04-03T04:31:01.754Z: (a94b4f451005c38e): Autoscaling: Resizing worker pool from 10 to 8.
2015-04-03T04:31:02.363Z: (d0f58ccaf368cf1f): Workflow failed. Causes: (539037ea87656484): Cannot downsize without losing active shuffle data. old_size = 10, new_size = 8.
2015-04-03T04:31:02.396Z: (7f503ea3d5c37a55): Stopping the input generators.
2015-04-03T04:31:02.411Z: (58b58f637f29ba9f): Cleaning up.
2015-04-03T04:31:02.442Z: (58b58f637f29bc58): Tearing down pending resources...
2015-04-03T04:31:02.447Z: (58b58f637f29be11): Starting worker pool teardown.
2015-04-03T04:31:02.453Z: (58b58f637f29b05d): Stopping worker pool...
2015-04-03T04:31:03.062Z: (a1f260e16fea5b6): Workflow failed. Causes: (539037ea87656484): Cannot downsize without losing active shuffle data. old_size = 10, new_size = 8.
458752 [main] INFO  com.google.cloud.dataflow.sdk.runners.BlockingDataflowPipelineRunner  - Job finished with status FAILED
458755 [main] INFO  com.<removed>.cdf.job.AbstractCloudDataFlowJob  - com.google.cloud.dataflow.sdk.runners.BlockingDataflowPipelineRunner$PipelineJobState@27a7ef08
458755 [main] INFO  com.<removed>.cdf.job.AbstractCloudDataFlowJob  - Cleaning up after <removed> job. At the moment nothing to do.
Disconnected from the target VM, address: '127.0.0.1:57739', transport: 'socket'

1087[main]INFO com.google.cloud.dataflow.sdk.runners.DataflowPipelineRunner-在数据流服务上执行管道，这将对谷歌计算引擎使用和其他谷歌云服务产生计费影响。
1103[main]INFO com.google.cloud.dataflow.sdk.util.PackageUtil-将79个文件从PipelineOptions.filesToStage上载到GCS，以准备在云中执行。
43086[main]INFO com.google.cloud.dataflow.sdk.util.PackageUtil-上传PipelineOptions.filesToStage完成：新上传2个文件，缓存77个文件
数据流SDK版本：0.3.150326
57718[main]INFO com.google.cloud.dataflow.sdk.runners.DataflowPipelineRunner-要访问数据流监控控制台，请导航到https://console.developers.google.com/project/gdfp-7414/dataflow/job/2015-04-02_21_26_53-11930390736602232537
提交作业：2015-04-02_21_26_53-11930390736602232537
2015-04-03T04:26:54.710Z:（3a5437c7f9c6e33f）：将GroupByKey操作扩展为可优化的部件。
2015-04-03T04:26:54.714Z:（3a5437c7f9c6e8dd）：用自动调谐信息注释图形。
2015-04-03T04:26:55.436Z:（3a5437c7f9c6e85b）：融合相邻ParDo、读取、写入和展平操作
2015-04-03T04:26:55.453Z:（3a5437c7f9c6efad）：将消费者对BQ的非规范化写入融合为事件非规范化
2015-04-03T04:26:55.455Z:（3a5437c7f9c6e54b）：将消费者事件非规范化融合为从BQ读取的事件
2015-04-03T04:26:55.457Z:（3a5437c7f9c6eae9）：将消费者未映射到BQ的写入融合到事件非规范化
2015-04-03T04:26:55.504Z:（3a5437c7f9c6e67d）：将步骤资源设置和拆卸添加到工作流图中。
2015-04-03T04:26:55.525Z:（971aceaf96c03b86）：启动输入发电机。
2015-04-03T04:26:55.546Z:（ea598353613cc1d3）：添加工作流开始和停止步骤。
2015-04-03T04:26:55.548Z:（ea598353613ccd39）：分配阶段ID。
2015-04-03T04:26:56.017Z:S07:（fb31ac3e5c3be05a）：执行操作权重因子
2015-04-03T04:26:56.024Z:S09：（ee7049b2bfe3f48c）：正在执行的操作名称
2015-04-03T04:26:56.037Z:（3a5437c7f9c6e293）：启动工作池设置。
2015-04-03T04:26:56.042Z:（3a5437c7f9c6edcf）：开始5名工人。。。
2015-04-03T04:26:56.047Z:S01:（a25730bd9d25e5ed）：执行操作浏览器映射
2015-04-03T04:26:56.049Z:S11:（fb31ac3e5c3beb06）：执行操作网站VH
2015-04-03T04:26:56.051Z:（30eb1307dfc8372f）：值“Name_Community.out”具体化。
2015-04-03T04:26:56.065Z:（52e655ceeab44257）：值“权重因子.输出”具体化。
2015-04-03T04:26:56.072Z:S03:（c024e27994951718）：执行操作OS_映射
2015-04-03T04:26:56.076Z:S10:（a3947955b25f3830）：执行操作AsiteTable3/CreatePCollectionView
2015-04-03T04:26:56.087Z:（4c9eb5a54721c4f7）：值“websiteVH.out”具体化。
2015-04-03T04:26:56.094Z:S05:（52e655ceeab4458a）：执行SA1_地区地铁运营
2015-04-03T04:26:56.103Z:S08:（c024e279949513f4）：执行操作AsiteTable2/CreatePCollectionView
2015-04-03T04:26:56.106Z:（4c9eb5a54721cd78）：值“AsIterable3/CreatePCollectionView.out”具体化。
2015-04-03T04:26:56.107Z:（58b58f637f29b69a）：值“OS_mapping.out”具体化。
2015-04-03T04:26:56.115Z:（f0587ec8b1f9f69f）：值“Browser_mapping.out”具体化。
2015-04-03T04:26:56.126Z:（a277f34c719a133）：值“SA1_区域_Metro.out”具体化。
2015-04-03T04:26:56.127Z:S12:（c024e279949510d0）：执行操作AsiteLabel4/CreatePCollectionView
2015-04-03T04:26:56.132Z:S04:（52e655ceeab44adf）：执行操作AsIterable6/CreatePCollectionView
2015-04-03T04:26:56.136Z:（f0587ec8b1f9fd86）：值“AsIterable2/CreatePCollectionView.out”具体化。
2015-04-03T04:26:56.141Z:S02：（eb97fca639a2101b）：执行操作AsiteTable5/CreatePCollectionView
2015-04-03T04:26:56.151Z:S06:（8cc6100045f0af9b）：执行操作AsIterable/CreatePCollectionView
2015-04-03T04:26:56.159Z:（6da6e59d099e8c60）：值“AsIterable4/CreatePCollectionView.out”具体化。
2015-04-03T04:26:56.163Z:（4c9eb5a54721c5f9）：值“AsIterable6/CreatePCollectionView.out”具体化。
2015-04-03T04:26:56.173Z:（a3947955b25f3701）：值“AsIterable5/CreatePCollectionView.out”具体化。
2015-04-03T04:26:56.178Z:（58b58f637f29b853）：值“AsIterable/CreatePCollectionView.out”具体化。
2015-04-03T04:26:56.199Z:S13:（8cc6100045f0ac67）：执行从BQ读取的操作事件+事件反规范化+反规范化写入BQ+未映射写入BQ
2015-04-03T04:26:56.653Z:（6153D34CD276BE2A0）：自动缩放：为作业/工作流启用/wf-2015-04-02_21_26_53-11930390736602232537
2015-04-03T04:30:31.754Z:（A94B4F45105C934）：自动缩放：将工作池大小从5调整为10。
2015-04-03T04:31:01.754Z:（A94B4F45105C38E）：自动缩放：将工作池大小从10调整为8。
2015-04-03T04:31:02.363Z:（d0f58ccaf368cf1f）：工作流失败。原因：（539037ea87656484）：无法在不丢失活动随机数据的情况下缩小大小。旧尺寸=10，新尺寸=8。
2015-04-03T04:31:02.396Z:（7f503ea3d5c37a55）：停止输入发生器。
2015-04-03T04:31:02.411Z:（58b58f637f29ba9f）：清理。
2015-04-03T04:31:02.442Z:（58b58f637f29bc58）：拆除未决资源。。。
2015-04-03T04:31:02.447Z:（58b58f637f29be11）：开始工人池拆卸。
2015-04-03T04:31:02.453Z:（58b58f637f29b05d）：停止w