{"id":9644,"date":"2024-01-16T02:52:48","date_gmt":"2024-01-16T01:52:48","guid":{"rendered":"https:\/\/myoceane.fr\/?p=9644"},"modified":"2025-01-26T04:48:48","modified_gmt":"2025-01-26T03:48:48","slug":"gpu-native-rapids-udf-compilation-environment","status":"publish","type":"post","link":"https:\/\/myoceane.fr\/index.php\/gpu-native-rapids-udf-compilation-environment\/","title":{"rendered":"[GPU] Native Rapids UDF – Compilation Environment"},"content":{"rendered":"
<\/div>\n

\u4e0a\u4e00\u7bc7\u6211\u5011\u4ecb\u7d39\u4e86\u5982\u4f55\u5229\u7528 cudf C++ \u5275\u5efa\u81ea\u5df1\u53ef\u4ee5\u8dd1\u5728 GPU \u4e0a\u9762\u7684 UDF\uff0c\u672c\u7bc7\u6211\u5011\u60f3\u8981\u7d00\u9304\u5982\u4f55\u5229\u7528 Spark Rapids Examples \u63d0\u4f9b\u7684\u7de8\u8b6f\u74b0\u5883\u5efa\u9020\u51fa\u5c6c\u65bc\u81ea\u5df1\u7684 jar \u53ef\u4ee5\u8dd1\u5728\u6709 GPU \u7684 Spark \u53e2\u96c6\u904b\u7b97\u4e4b\u4e0a\u3002<\/p>\n

MAVEN Build and Deploy JAR<\/h4>\n

\u56e0\u70ba\u662f C++ \u7684\u7a0b\u5f0f\u78bc\uff0c\u8981\u5229\u7528 Spark Rapids Example \u7684 Github<\/a> \u63d0\u4f9b\u7684 Docker \u74b0\u5883\u505a\u7de8\u8b6f\uff0c\u5206\u6210\u4ee5\u4e0b\u5e7e\u500b\u6b65\u9a5f\uff1a<\/p>\n

    \n
  1. \u5275\u5efa\u51fa\u4e00\u500b\u5b89\u88dd CUDA \u74b0\u5883\u7684 Docker Image<\/li>\n
  2. \u5728\u6709 nvidia-docker \u7684\u865b\u64ec\u6a5f\u4e0a\u9762\u5229\u7528 Maven \u53bb\u7de8\u8b6f\uff1amvn clean package -Dudf-native-examples\uff0c\u9019\u4e00\u500b\u904e\u5be6\u4f5c\u9700\u8981\u5927\u7d04\u4e09\u500b\u5c0f\u6642<\/li>\n
  3. \u5c07\u7de8\u8b6f\u597d\u7684 jar \u6a94\u653e\u5165 \/home\/spark-current\/jars \u8cc7\u6599\u593e\u4e0b<\/li>\n
  4. \u91cd\u555f Spark Thrift Server<\/li>\n<\/ol>\n

    \u57f7\u884c\u4e0b\u53bb\u4e4b\u5f8c\uff0c\u99ac\u4e0a\u5c31\u9047\u5230\u4ee5\u4e0b\u7684\u932f\u8aa4\uff0c\u7a0d\u5fae\u67e5\u8a62\u4e86\u4e00\u4e0b\uff0c\u7406\u89e3\u662f\u56e0\u70ba\u74b0\u5883\u4e2d\u6c92\u6709\u5b89\u88dd CUDA \u7684\u95dc\u4fc2\u3002<\/p>\n\n\n

    Driver stacktrace:\n06:11:29.150 INFO  DAGScheduler - Job 5 failed: run at AccessController.java:0, took 2.944054 s\n06:11:29.152 INFO  DAGScheduler - Asked to cancel job group 8f2e33b9-f530-4c03-93d5-df4832ac6ce4\n06:11:29.152 ERROR SparkExecuteStatementOperation - Error executing query with 8f2e33b9-f530-4c03-93d5-df4832ac6ce4, currentState RUNNING, \norg.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 9.0 failed 4 times, most recent failure: Lost task 0.3 in stage 9.0 (TID 108) (10.0.0.10 executor 0): java.lang.UnsatisfiedLinkError: \/tmp\/atgxnativeudfjni6117543534348807468.so: libcudart.so.12: cannot open shared object file: No such file or directory\n\tat java.lang.ClassLoader$NativeLibrary.load(Native Method)\n\tat java.lang.ClassLoader.loadLibrary0(ClassLoader.java:1934)\n\tat java.lang.ClassLoader.loadLibrary(ClassLoader.java:1817)\n\tat java.lang.Runtime.load0(Runtime.java:782)\n\tat java.lang.System.load(System.java:1100)\n\tat ai.rapids.cudf.NativeDepsLoader.loadDep(NativeDepsLoader.java:187)\n\tat ai.rapids.cudf.NativeDepsLoader.loadDep(NativeDepsLoader.java:182)\n\tat ai.rapids.cudf.NativeDepsLoader.loadNativeDeps(NativeDepsLoader.java:129)\n\tat com.atgenomix.seqslab.piper.plugin.atgenomix.udf.hive.AtgxNativeUDFLoader.ensureLoaded(AtgxNativeUDFLoader.java:14)\n\tat com.atgenomix.seqslab.piper.plugin.atgenomix.udf.hive.RetrieveRsID.evaluateColumnar(RetrieveRsID.java:71)\n\tat com.nvidia.spark.rapids.GpuUserDefinedFunction.$anonfun$columnarEval$4(GpuUserDefinedFunction.scala:61)\n\tat com.nvidia.spark.rapids.Arm$.withResource(Arm.scala:29)\n\tat com.nvidia.spark.rapids.GpuUserDefinedFunction.$anonfun$columnarEval$2(GpuUserDefinedFunction.scala:59)\n\tat com.nvidia.spark.rapids.Arm$.withResource(Arm.scala:47)\n\tat com.nvidia.spark.rapids.GpuUserDefinedFunction.columnarEval(GpuUserDefinedFunction.scala:57)\n\tat com.nvidia.spark.rapids.GpuUserDefinedFunction.columnarEval$(GpuUserDefinedFunction.scala:55)\n\tat org.apache.spark.sql.hive.rapids.GpuHiveGenericUDF.columnarEval(hiveUDFs.scala:60)\n\tat com.nvidia.spark.rapids.RapidsPluginImplicits$ReallyAGpuExpression.columnarEval(implicits.scala:34)\n\tat com.nvidia.spark.rapids.GpuAlias.columnarEval(namedExpressions.scala:110)\n\tat com.nvidia.spark.rapids.RapidsPluginImplicits$ReallyAGpuExpression.columnarEval(implicits.scala:34)\n\tat com.nvidia.spark.rapids.GpuProjectExec$.$anonfun$project$1(basicPhysicalOperators.scala:111)\n\tat com.nvidia.spark.rapids.RapidsPluginImplicits$MapsSafely.$anonfun$safeMap$1(implicits.scala:220)\n\tat com.nvidia.spark.rapids.RapidsPluginImplicits$MapsSafely.$anonfun$safeMap$1$adapted(implicits.scala:217)\n\tat scala.collection.immutable.List.foreach(List.scala:431)\n\tat com.nvidia.spark.rapids.RapidsPluginImplicits$MapsSafely.safeMap(implicits.scala:217)\n\tat com.nvidia.spark.rapids.RapidsPluginImplicits$AutoCloseableProducingSeq.safeMap(implicits.scala:252)\n\tat com.nvidia.spark.rapids.GpuProjectExec$.project(basicPhysicalOperators.scala:111)\n\tat com.nvidia.spark.rapids.GpuTieredProject.$anonfun$project$2(basicPhysicalOperators.scala:612)\n\tat com.nvidia.spark.rapids.Arm$.withResource(Arm.scala:29)\n\tat com.nvidia.spark.rapids.GpuTieredProject.recurse$2(basicPhysicalOperators.scala:611)\n\tat com.nvidia.spark.rapids.GpuTieredProject.project(basicPhysicalOperators.scala:624)\n\tat com.nvidia.spark.rapids.GpuTieredProject.$anonfun$projectWithRetrySingleBatchInternal$5(basicPhysicalOperators.scala:560)\n\tat com.nvidia.spark.rapids.RmmRapidsRetryIterator$.withRestoreOnRetry(RmmRapidsRetryIterator.scala:268)\n\tat com.nvidia.spark.rapids.GpuTieredProject.$anonfun$projectWithRetrySingleBatchInternal$4(basicPhysicalOperators.scala:560)\n\tat com.nvidia.spark.rapids.Arm$.withResource(Arm.scala:29)\n\tat com.nvidia.spark.rapids.GpuTieredProject.$anonfun$projectWithRetrySingleBatchInternal$3(basicPhysicalOperators.scala:558)\n\tat com.nvidia.spark.rapids.RmmRapidsRetryIterator$NoInputSpliterator.next(RmmRapidsRetryIterator.scala:377)\n\tat com.nvidia.spark.rapids.RmmRapidsRetryIterator$RmmRapidsRetryIterator.next(RmmRapidsRetryIterator.scala:569)\n\tat com.nvidia.spark.rapids.RmmRapidsRetryIterator$RmmRapidsRetryAutoCloseableIterator.next(RmmRapidsRetryIterator.scala:495)\n\tat com.nvidia.spark.rapids.RmmRapidsRetryIterator$.drainSingleWithVerification(RmmRapidsRetryIterator.scala:287)\n\tat com.nvidia.spark.rapids.RmmRapidsRetryIterator$.withRetryNoSplit(RmmRapidsRetryIterator.scala:185)\n\tat com.nvidia.spark.rapids.GpuTieredProject.$anonfun$projectWithRetrySingleBatchInternal$1(basicPhysicalOperators.scala:558)\n\tat com.nvidia.spark.rapids.Arm$.withResource(Arm.scala:38)\n\tat com.nvidia.spark.rapids.GpuTieredProject.projectWithRetrySingleBatchInternal(basicPhysicalOperators.scala:555)\n\tat com.nvidia.spark.rapids.GpuTieredProject.projectAndCloseWithRetrySingleBatch(basicPhysicalOperators.scala:594)\n\tat com.nvidia.spark.rapids.GpuProjectExec.$anonfun$internalDoExecuteColumnar$2(basicPhysicalOperators.scala:385)\n\tat com.nvidia.spark.rapids.Arm$.withResource(Arm.scala:29)\n\tat com.nvidia.spark.rapids.GpuProjectExec.$anonfun$internalDoExecuteColumnar$1(basicPhysicalOperators.scala:381)\n\tat scala.collection.Iterator$$anon$10.next(Iterator.scala:461)\n\tat com.nvidia.spark.rapids.ColumnarToRowIterator.$anonfun$fetchNextBatch$3(GpuColumnarToRowExec.scala:287)\n\tat com.nvidia.spark.rapids.Arm$.withResource(Arm.scala:29)\n\tat com.nvidia.spark.rapids.ColumnarToRowIterator.fetchNextBatch(GpuColumnarToRowExec.scala:284)\n\tat com.nvidia.spark.rapids.ColumnarToRowIterator.loadNextBatch(GpuColumnarToRowExec.scala:257)\n\tat com.nvidia.spark.rapids.ColumnarToRowIterator.hasNext(GpuColumnarToRowExec.scala:301)\n\tat scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)\n\tat org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:364)\n\tat org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:890)\n\tat org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:890)\n\tat org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)\n\tat org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)\n\tat org.apache.spark.rdd.RDD.iterator(RDD.scala:329)\n\tat org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)\n\tat org.apache.spark.scheduler.Task.run(Task.scala:136)\n\tat org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548)\n\tat org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504)\n\tat org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551)\n\tat java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\n\tat java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\n\tat java.lang.Thread.run(Thread.java:750)\n<\/code><\/pre>\n\n\n
    \u89e3\u6c7a\u65b9\u6cd5\u5c31\u662f\u57f7\u884c\u4ee5\u4e0b\u7684\u5b89\u88dd CUDA \u7684\u7a0b\u5f0f\u78bc\uff0c\u4ee5\u4e0b\u53c3\u8003\u9023\u7d50<\/a>\u3002<\/p>\n\n\n
    wget https:\/\/developer.download.nvidia.com\/compute\/cuda\/repos\/$distro\/$arch\/cuda-keyring_1.0-1_all.deb\nsudo dpkg -i cuda-keyring_1.0-1_all.deb\nsudo apt update\nsudo apt install -y cuda\nnvcc --version<\/code><\/pre>\n\n\n
    Note: \u6839\u64da\u53c3\u8003\u9023\u7d50<\/a>\uff0c\u7b2c\u4e00\u6b65\u4e2d\u7684 $distro\/$arch \u8981\u6839\u64da\u90e8\u7f72\u7684 VM \u4f86\u9078\u64c7\uff0c\u4f8b\u5982 <\/strong>ubuntu2004\/x86_64<\/p>","protected":false},"excerpt":{"rendered":"
    \u4e0a\u4e00\u7bc7\u6211\u5011\u4ecb\u7d39\u4e86\u5982\u4f55\u5229\u7528 cudf C++ \u5275\u5efa\u81ea\u5df1\u53ef\u4ee5\u8dd1\u5728 GPU \u4e0a\u9762\u7684 UDF\uff0c\u672c\u7bc7\u6211\u5011\u60f3\u8981\u7d00\u9304\u5982\u4f55\u5229\u7528 Spark Rapids Examples \u63d0\u4f9b\u7684\u7de8\u8b6f\u74b0\u5883\u5efa\u9020\u51fa\u5c6c\u65bc\u81ea\u5df1\u7684 jar \u53ef\u4ee5\u8dd1\u5728\u6709 GPU \u7684 Spark \u53e2\u96c6\u904b\u7b97\u4e4b\u4e0a\u3002<\/p>\n","protected":false},"author":1,"featured_media":8700,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1761,14],"tags":[1762],"class_list":["post-9644","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-gpu","category-it-technology","tag-native-rapids-udf"],"yoast_head":"\n[GPU] Native Rapids UDF - Compilation Environment - \u60f3\u65b9\u6d89\u6cd5 - \u91cf\u74f6\u5916\u7684\u5929\u7a7a M-Y-Oceane<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/myoceane.fr\/index.php\/gpu-native-rapids-udf-compilation-environment\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[GPU] Native Rapids UDF - 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