小贝子编程

为什么 Spark 在使用数据帧时报告"java.net.URISyntaxException: Relative path in absolute URI"？



我在Windows机器上本地运行Spark。我能够成功地启动spark shell，并读取文本文件作为rdd。我还能够跟随关于这个主题的各种在线教程，并能够在rdd上执行各种操作。

然而，当我试图将RDD转换为数据帧时，我得到了一个错误。这就是我正在做的:

val sqlContext = new org.apache.spark.sql.SQLContext(sc)
import sqlContext.implicits._
//convert rdd to df
val df = rddFile.toDF()

这段代码生成一长串错误消息，这些消息似乎与下面的消息有关:

Caused by: java.lang.IllegalArgumentException: java.net.URISyntaxException: Relative path in absolute URI: file:C:/Users/spark/spark-warehouse
        at org.apache.hadoop.fs.Path.initialize(Path.java:205)
        at org.apache.hadoop.fs.Path.<init>(Path.java:171)
        at org.apache.hadoop.hive.metastore.Warehouse.getWhRoot(Warehouse.java:159)
        at org.apache.hadoop.hive.metastore.Warehouse.getDefaultDatabasePath(Warehouse.java:177)
        at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.createDefaultDB_core(HiveMetaStore.java:600)
        at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.createDefaultDB(HiveMetaStore.java:620)
        at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.init(HiveMetaStore.java:461)
        at org.apache.hadoop.hive.metastore.RetryingHMSHandler.<init>(RetryingHMSHandler.java:66)
        at org.apache.hadoop.hive.metastore.RetryingHMSHandler.getProxy(RetryingHMSHandler.java:72)
        at org.apache.hadoop.hive.metastore.HiveMetaStore.newRetryingHMSHandler(HiveMetaStore.java:5762)
        at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.<init>(HiveMetaStoreClient.java:199)
        at org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient.<init>(SessionHiveMetaStoreClient.java:74)
        ... 85 more
Caused by: java.net.URISyntaxException: Relative path in absolute URI: file:C:/Users/spark/spark-warehouse
        at java.net.URI.checkPath(URI.java:1823)
        at java.net.URI.<init>(URI.java:745)
        at org.apache.hadoop.fs.Path.initialize(Path.java:202)
        ... 96 more

随后是整个堆栈跟踪。

16/08/16 12:36:20 WARN ObjectStore: Failed to get database default, returning NoSuchObjectException
16/08/16 12:36:20 WARN Hive: Failed to access metastore. This class should not accessed in runtime.
org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient
        at org.apache.hadoop.hive.ql.metadata.Hive.getAllDatabases(Hive.java:1236)
        at org.apache.hadoop.hive.ql.metadata.Hive.reloadFunctions(Hive.java:174)
        at org.apache.hadoop.hive.ql.metadata.Hive.<clinit>(Hive.java:166)
        at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:503)
        at org.apache.spark.sql.hive.client.HiveClientImpl.<init>(HiveClientImpl.scala:171)
        at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
        at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
        at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
        at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
        at org.apache.spark.sql.hive.client.IsolatedClientLoader.createClient(IsolatedClientLoader.scala:258)
        at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:359)
        at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:263)
        at org.apache.spark.sql.hive.HiveSharedState.metadataHive$lzycompute(HiveSharedState.scala:39)
        at org.apache.spark.sql.hive.HiveSharedState.metadataHive(HiveSharedState.scala:38)
        at org.apache.spark.sql.hive.HiveSharedState.externalCatalog$lzycompute(HiveSharedState.scala:46)
        at org.apache.spark.sql.hive.HiveSharedState.externalCatalog(HiveSharedState.scala:45)
        at org.apache.spark.sql.hive.HiveSessionState.catalog$lzycompute(HiveSessionState.scala:50)
        at org.apache.spark.sql.hive.HiveSessionState.catalog(HiveSessionState.scala:48)
        at org.apache.spark.sql.hive.HiveSessionState$$anon$1.<init>(HiveSessionState.scala:63)
        at org.apache.spark.sql.hive.HiveSessionState.analyzer$lzycompute(HiveSessionState.scala:63)
        at org.apache.spark.sql.hive.HiveSessionState.analyzer(HiveSessionState.scala:62)
        at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:49)
        at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:64)
        at org.apache.spark.sql.SparkSession.baseRelationToDataFrame(SparkSession.scala:382)
        at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:143)
        at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:401)
        at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:342)
        at $line14.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(<console>:24)
        at $line14.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(<console>:29)
        at $line14.$read$$iw$$iw$$iw$$iw$$iw$$iw.<init>(<console>:31)
        at $line14.$read$$iw$$iw$$iw$$iw$$iw.<init>(<console>:33)
        at $line14.$read$$iw$$iw$$iw$$iw.<init>(<console>:35)
        at $line14.$read$$iw$$iw$$iw.<init>(<console>:37)
        at $line14.$read$$iw$$iw.<init>(<console>:39)
        at $line14.$read$$iw.<init>(<console>:41)
        at $line14.$read.<init>(<console>:43)
        at $line14.$read$.<init>(<console>:47)
        at $line14.$read$.<clinit>(<console>)
        at $line14.$eval$.$print$lzycompute(<console>:7)
        at $line14.$eval$.$print(<console>:6)
        at $line14.$eval.$print(<console>)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:786)
        at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1047)
        at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:638)
        at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:637)
        at scala.reflect.internal.util.ScalaClassLoader$class.asContext(ScalaClassLoader.scala:31)
        at scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:19)
        at scala.tools.nsc.interpreter.IMain$WrappedRequest.loadAndRunReq(IMain.scala:637)
        at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:569)
        at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:565)
        at scala.tools.nsc.interpreter.ILoop.interpretStartingWith(ILoop.scala:807)
        at scala.tools.nsc.interpreter.ILoop.command(ILoop.scala:681)
        at scala.tools.nsc.interpreter.ILoop.processLine(ILoop.scala:395)
        at scala.tools.nsc.interpreter.ILoop.loop(ILoop.scala:415)
        at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply$mcZ$sp(ILoop.scala:923)
        at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)
        at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)
        at scala.reflect.internal.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:97)
        at scala.tools.nsc.interpreter.ILoop.process(ILoop.scala:909)
        at org.apache.spark.repl.Main$.doMain(Main.scala:68)
        at org.apache.spark.repl.Main$.main(Main.scala:51)
        at org.apache.spark.repl.Main.main(Main.scala)
        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.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:729)
        at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:185)
        at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:210)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:124)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient
        at org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1523)
        at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.<init>(RetryingMetaStoreClient.java:86)
        at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:132)
        at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:104)
        at org.apache.hadoop.hive.ql.metadata.Hive.createMetaStoreClient(Hive.java:3005)
        at org.apache.hadoop.hive.ql.metadata.Hive.getMSC(Hive.java:3024)
        at org.apache.hadoop.hive.ql.metadata.Hive.getAllDatabases(Hive.java:1234)
        ... 74 more
Caused by: java.lang.reflect.InvocationTargetException
        at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
        at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
        at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
        at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
        at org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1521)
        ... 80 more
Caused by: java.lang.IllegalArgumentException: java.net.URISyntaxException: Relative path in absolute URI: file:C:/Users/spark/spark-warehouse
        at org.apache.hadoop.fs.Path.initialize(Path.java:205)
        at org.apache.hadoop.fs.Path.<init>(Path.java:171)
        at org.apache.hadoop.hive.metastore.Warehouse.getWhRoot(Warehouse.java:159)
        at org.apache.hadoop.hive.metastore.Warehouse.getDefaultDatabasePath(Warehouse.java:177)
        at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.createDefaultDB_core(HiveMetaStore.java:600)
        at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.createDefaultDB(HiveMetaStore.java:620)
        at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.init(HiveMetaStore.java:461)
        at org.apache.hadoop.hive.metastore.RetryingHMSHandler.<init>(RetryingHMSHandler.java:66)
        at org.apache.hadoop.hive.metastore.RetryingHMSHandler.getProxy(RetryingHMSHandler.java:72)
        at org.apache.hadoop.hive.metastore.HiveMetaStore.newRetryingHMSHandler(HiveMetaStore.java:5762)
        at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.<init>(HiveMetaStoreClient.java:199)
        at org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient.<init>(SessionHiveMetaStoreClient.java:74)
        ... 85 more
Caused by: java.net.URISyntaxException: Relative path in absolute URI: file:C:/Users/spark/spark-warehouse
        at java.net.URI.checkPath(URI.java:1823)
        at java.net.URI.<init>(URI.java:745)
        at org.apache.hadoop.fs.Path.initialize(Path.java:202)
        ... 96 more

这是Windows上Spark 2.0中的Spark -15565问题，有一个简单的解决方案(似乎是Spark代码库的一部分，可能很快会以2.0.2或2.1.0的形式发布)。

Spark 2.0.0中的解决方案是将spark.sql.warehouse.dir设置为某个正确引用的目录，例如使用///(三重斜杠)的file:///c:/Spark/spark-2.0.0-bin-hadoop2.7/spark-warehouse。

用--conf参数启动spark-shell，如下所示:

spark-shell --conf spark.sql.warehouse.dir=file:///c:/tmp/spark-warehouse

或者在您的Spark应用程序中使用新的流畅构建器模式创建SparkSession，如下所示:

import org.apache.spark.sql.SparkSession
SparkSession spark = SparkSession
  .builder()
  .config("spark.sql.warehouse.dir", "file:///c:/tmp/spark-warehouse")
  .getOrCreate()

或者用以下内容创建conf/spark-defaults.conf:

spark.sql.warehouse.dir file:///c:/tmp/spark-warehouse

我也得到了这个错误。在我的例子中，我正在写一个字符为":"例如:/tmp/dattaset_10:23:11。然后spark感到困惑，因为认为:是路径的一部分(如C:)。

解决方案就是从文件名

中删除:字符。

如果你想在代码中修复它而不触及现有代码，也可以从系统属性传递它，这样之后的spark初始化就不会改变。

System.setProperty(
    "spark.sql.warehouse.dir", 
    s"file:///${System.getProperty("user.dir")}/spark-warehouse"
    .replaceAll("\\", "/")
)

注意，这里使用的是当前的工作目录，它可以被替换为"c:/tmp/"，或者任何你想要spark-warehouse目录的地方。

只需设置config("spark.sql.warehouse. "dir"、"文件:///tmp/spark-warehouse")。

不需要包含"C:/"。

Spark驱动会自动在/tmp/Spark -warehouse目录下创建一个文件夹。如果是windows，它将在"C:/"下。"C:"驱动器将无法工作，如果主驱动器不是本地的windows。

我设置spark.sql.warehouse.dir属性来修复我现有代码中的错误

System.setProperty("spark.sql.warehouse.dir", "file:///C:/spark-warehouse");
下面是代码片段 
System.setProperty("hadoop.home.dir", "c:/winutil/");
System.setProperty("spark.sql.warehouse.dir", "file:///C:/spark-warehouse");
val conf = new SparkConf().setAppName("test").setMaster("local[*]")
val sc = new SparkContext(conf)
val lines = sc.textFile("C:/user.txt")

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