java - 弹簧靴 | 为多个文件提供文件路径时，Spark.read 失败

问题描述

在 Win10 中，在 IntelliJ 中，此路径（“C:/hive/Orders_[0-9]*.csv”）在作为独立 java spark 作业运行时效果很好。但不能作为 Spring Boot 火花工作。似乎 spring boot 没有检测到本机文件系统。不知道如何解决这个问题。

Dataset<Row> DF1 = spark
                .read().format("csv")
                .option("header", "true")
                .option("delimiter", "\t")
                .load("C:/hive/Orders_[0-9]*.csv");

错误：

Error starting ApplicationContext. To display the auto-configuration report re-run your application with 'debug' enabled.
2019-09-04 21:59:27.701 ERROR [omni-ods-migration,,,] 8216 --- [           main] o.s.boot.SpringApplication               : Application startup failed

org.springframework.beans.factory.BeanCreationException: Error creating bean with name 'odsMigrationService': Invocation of init method failed; nested exception is java.lang.UnsatisfiedLinkError: org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(Ljava/lang/String;I)Z
    at org.springframework.beans.factory.annotation.InitDestroyAnnotationBeanPostProcessor.postProcessBeforeInitialization(InitDestroyAnnotationBeanPostProcessor.java:137)
    at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.applyBeanPostProcessorsBeforeInitialization(AbstractAutowireCapableBeanFactory.java:409)
    at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.initializeBean(AbstractAutowireCapableBeanFactory.java:1620)
    at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.doCreateBean(AbstractAutowireCapableBeanFactory.java:555)
    at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.createBean(AbstractAutowireCapableBeanFactory.java:483)
    at org.springframework.beans.factory.support.AbstractBeanFactory$1.getObject(AbstractBeanFactory.java:306)
    at org.springframework.beans.factory.support.DefaultSingletonBeanRegistry.getSingleton(DefaultSingletonBeanRegistry.java:230)
    at org.springframework.beans.factory.support.AbstractBeanFactory.doGetBean(AbstractBeanFactory.java:302)
    at org.springframework.beans.factory.support.AbstractBeanFactory.getBean(AbstractBeanFactory.java:197)
    at org.springframework.beans.factory.support.DefaultListableBeanFactory.preInstantiateSingletons(DefaultListableBeanFactory.java:761)
    at org.springframework.context.support.AbstractApplicationContext.finishBeanFactoryInitialization(AbstractApplicationContext.java:867)
    at org.springframework.context.support.AbstractApplicationContext.refresh(AbstractApplicationContext.java:543)
    at org.springframework.boot.SpringApplication.refresh(SpringApplication.java:693)
    at org.springframework.boot.SpringApplication.refreshContext(SpringApplication.java:360)
    at org.springframework.boot.SpringApplication.run(SpringApplication.java:303)
    at org.springframework.boot.builder.SpringApplicationBuilder.run(SpringApplicationBuilder.java:134)
    at com.jcpenney.ods.OdsMigration.main(OdsMigration.java:20)
Caused by: java.lang.UnsatisfiedLinkError: org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(Ljava/lang/String;I)Z
    at org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(Native Method)
    at org.apache.hadoop.io.nativeio.NativeIO$Windows.access(NativeIO.java:645)
    at org.apache.hadoop.fs.FileUtil.canRead(FileUtil.java:1230)
    at org.apache.hadoop.fs.FileUtil.list(FileUtil.java:1435)
    at org.apache.hadoop.fs.RawLocalFileSystem.listStatus(RawLocalFileSystem.java:493)
    at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:1868)
    at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:1910)
    at org.apache.hadoop.fs.ChecksumFileSystem.listStatus(ChecksumFileSystem.java:678)
    at org.apache.hadoop.fs.Globber.listStatus(Globber.java:77)
    at org.apache.hadoop.fs.Globber.doGlob(Globber.java:235)
    at org.apache.hadoop.fs.Globber.glob(Globber.java:149)
    at org.apache.hadoop.fs.FileSystem.globStatus(FileSystem.java:2016)
    at org.apache.spark.deploy.SparkHadoopUtil.globPath(SparkHadoopUtil.scala:241)
    at org.apache.spark.deploy.SparkHadoopUtil.globPathIfNecessary(SparkHadoopUtil.scala:247)
    at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$12.apply(DataSource.scala:383)
    at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$12.apply(DataSource.scala:379)
    at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
    at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
    at scala.collection.immutable.List.foreach(List.scala:392)
    at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
    at scala.collection.immutable.List.flatMap(List.scala:355)
    at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:379)
    at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:149)
    at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:132)
    at com.jcpenney.ods.service.OdsMigrationService.readHfsFile(OdsMigrationService.java:588)
    at com.jcpenney.ods.service.OdsMigrationService.processOrders(OdsMigrationService.java:334)
    at com.jcpenney.ods.service.OdsMigrationService.run(OdsMigrationService.java:129)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at org.springframework.beans.factory.annotation.InitDestroyAnnotationBeanPostProcessor$LifecycleElement.invoke(InitDestroyAnnotationBeanPostProcessor.java:366)
    at org.springframework.beans.factory.annotation.InitDestroyAnnotationBeanPostProcessor$LifecycleMetadata.invokeInitMethods(InitDestroyAnnotationBeanPostProcessor.java:311)
    at org.springframework.beans.factory.annotation.InitDestroyAnnotationBeanPostProcessor.postProcessBeforeInitialization(InitDestroyAnnotationBeanPostProcessor.java:134)
    ... 16 common frames omitted

下面的代码在 Spring Boot 中也能很好地工作，当路径以准确的文件名给出时。

Dataset<Row> DF1 = spark
                .read().format("csv")
                .option("header", "true")
                .option("delimiter", "\t")
                .load("C:/hive/Orders_000001.csv");

如何解决这个问题？

标签： javaspring-bootapache-spark

这是一个可能的解决方案

从https://github.com/steveloughran/winutils下载适用于 Windows 的 Hadoop 文件
提取文件（例如 C:\hadoop）。确保目录结构与此类似C:\hadoop\bin\winutils.exe
将环境变量设置HADOOP_HOME为C:\hadoop
将 Hadoop 添加到 Path 环境变量：%HADOOP_HOME%\bin
复制hadoop.dll到Windows\System32（可能不需要）
重启系统
特定于 Spring Boot：将其添加到 main 方法中：System.setProperty ("hadoop.home.dir", "C:/hadoop/" ); System.load ("C:/hadoop/bin/hadoop.dll");

参考：

java - 弹簧靴 | 为多个文件提供文件路径时，Spark.read 失败

问题描述

解决方案

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