Гуава версия при использовании спарк-оболочки

apache-spark spark-cassandra-connector google-cloud-dataproc

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3 ответа

Я пытаюсь использовать разъем spark-cassandra через spark-shell на dataproc, однако я не могу подключиться к своему кластеру. Похоже, что существует несоответствие версий, поскольку путь к классам включает куда более старую версию гуавы откуда-то еще, даже когда я указываю правильную версию при запуске. Я подозреваю, что это, вероятно, вызвано всеми зависимостями Hadoop, помещенными в classpath по умолчанию.

Есть ли в любом случае, чтобы spark-shell использовал только правильную версию guava, не избавляясь от всех связанных с Hadoop jar-файлов dataproc?

Соответствующие данные:

Запускаем spark-shell, показывая правильную версию Guava: $ spark-shell --packages com.datastax.spark:spark-cassandra-connector_2.10:1.5.0-M3

:: loading settings :: url = jar:file:/usr/lib/spark/lib/spark-assembly-1.5.2-hadoop2.7.1.jar!/org/apache/ivy/core/settings/ivysettings.xml
com.datastax.spark#spark-cassandra-connector_2.10 added as a dependency
:: resolving dependencies :: org.apache.spark#spark-submit-parent;1.0
        confs: [default]
        found com.datastax.spark#spark-cassandra-connector_2.10;1.5.0-M3 in central
        found org.apache.cassandra#cassandra-clientutil;2.2.2 in central
        found com.datastax.cassandra#cassandra-driver-core;3.0.0-alpha4 in central
        found io.netty#netty-handler;4.0.27.Final in central
        found io.netty#netty-buffer;4.0.27.Final in central
        found io.netty#netty-common;4.0.27.Final in central
        found io.netty#netty-transport;4.0.27.Final in central
        found io.netty#netty-codec;4.0.27.Final in central
        found com.codahale.metrics#metrics-core;3.0.2 in central
        found org.slf4j#slf4j-api;1.7.5 in central
        found org.apache.commons#commons-lang3;3.3.2 in central
        found com.google.guava#guava;16.0.1 in central
        found org.joda#joda-convert;1.2 in central
        found joda-time#joda-time;2.3 in central
        found com.twitter#jsr166e;1.1.0 in central
        found org.scala-lang#scala-reflect;2.10.5 in central
:: resolution report :: resolve 502ms :: artifacts dl 10ms
        :: modules in use:
        com.codahale.metrics#metrics-core;3.0.2 from central in [default]
        com.datastax.cassandra#cassandra-driver-core;3.0.0-alpha4 from central in [default]
        com.datastax.spark#spark-cassandra-connector_2.10;1.5.0-M3 from central in [default]
        com.google.guava#guava;16.0.1 from central in [default]
        com.twitter#jsr166e;1.1.0 from central in [default]
        io.netty#netty-buffer;4.0.27.Final from central in [default]
        io.netty#netty-codec;4.0.27.Final from central in [default]
        io.netty#netty-common;4.0.27.Final from central in [default]
        io.netty#netty-handler;4.0.27.Final from central in [default]
        io.netty#netty-transport;4.0.27.Final from central in [default]
        joda-time#joda-time;2.3 from central in [default]
        org.apache.cassandra#cassandra-clientutil;2.2.2 from central in [default]
        org.apache.commons#commons-lang3;3.3.2 from central in [default]
        org.joda#joda-convert;1.2 from central in [default]
        org.scala-lang#scala-reflect;2.10.5 from central in [default]
        org.slf4j#slf4j-api;1.7.5 from central in [default]
        ---------------------------------------------------------------------
        |                  |            modules            ||   artifacts   |
        |       conf       | number| search|dwnlded|evicted|| number|dwnlded|
        ---------------------------------------------------------------------
        |      default     |   16  |   0   |   0   |   0   ||   16  |   0   |
        ---------------------------------------------------------------------
:: retrieving :: org.apache.spark#spark-submit-parent
        confs: [default]
        0 artifacts copied, 16 already retrieved (0kB/12ms)
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 1.5.2
      /_/

Using Scala version 2.10.4 (OpenJDK 64-Bit Server VM, Java 1.8.0_66-internal)
Type in expressions to have them evaluated.
Type :help for more information.
15/12/10 17:38:46 WARN org.apache.spark.metrics.MetricsSystem: Using default name DAGScheduler for source because spark.app.id is not set.
Spark context available as sc.

ivysettings.xml file not found in HIVE_HOME or HIVE_CONF_DIR,/etc/hive/conf.dist/ivysettings.xml will be used
ivysettings.xml file not found in HIVE_HOME or HIVE_CONF_DIR,/etc/hive/conf.dist/ivysettings.xml will be used
15/12/10 17:38:54 WARN org.apache.hadoop.util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
15/12/10 17:38:54 WARN org.apache.hadoop.hdfs.shortcircuit.DomainSocketFactory: The short-circuit local reads feature cannot be used because libhadoop cannot be loaded.
SQL context available as sqlContext.

Stack Trace при выполнении начального соединения:

java.io.IOException: Failed to open native connection to Cassandra at {10.240.0.7}:9042
    at com.datastax.spark.connector.cql.CassandraConnector$.com$datastax$spark$connector$cql$CassandraConnector$$createSession(CassandraConnector.scala:162)
    at com.datastax.spark.connector.cql.CassandraConnector$$anonfun$2.apply(CassandraConnector.scala:148)
    at com.datastax.spark.connector.cql.CassandraConnector$$anonfun$2.apply(CassandraConnector.scala:148)
    at com.datastax.spark.connector.cql.RefCountedCache.createNewValueAndKeys(RefCountedCache.scala:31)
    at com.datastax.spark.connector.cql.RefCountedCache.acquire(RefCountedCache.scala:56)
    at com.datastax.spark.connector.cql.CassandraConnector.openSession(CassandraConnector.scala:81)
    at com.datastax.spark.connector.cql.CassandraConnector.withSessionDo(CassandraConnector.scala:109)
    at com.datastax.spark.connector.cql.CassandraConnector.withClusterDo(CassandraConnector.scala:120)
    at com.datastax.spark.connector.cql.Schema$.fromCassandra(Schema.scala:249)
    at com.datastax.spark.connector.rdd.CassandraTableRowReaderProvider$class.tableDef(CassandraTableRowReaderProvider.scala:51)
    at com.datastax.spark.connector.rdd.CassandraTableScanRDD.tableDef$lzycompute(CassandraTableScanRDD.scala:59)
    at com.datastax.spark.connector.rdd.CassandraTableScanRDD.tableDef(CassandraTableScanRDD.scala:59)
    at com.datastax.spark.connector.rdd.CassandraTableRowReaderProvider$class.verify(CassandraTableRowReaderProvider.scala:146)
    at com.datastax.spark.connector.rdd.CassandraTableScanRDD.verify(CassandraTableScanRDD.scala:59)
    at com.datastax.spark.connector.rdd.CassandraTableScanRDD.getPartitions(CassandraTableScanRDD.scala:143)
    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
    at scala.Option.getOrElse(Option.scala:120)
    at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:1921)
    at org.apache.spark.rdd.RDD.count(RDD.scala:1125)
    at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:34)
    at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:45)
    at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:47)
    at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:49)
    at $iwC$$iwC$$iwC$$iwC.<init>(<console>:51)
    at $iwC$$iwC$$iwC.<init>(<console>:53)
    at $iwC$$iwC.<init>(<console>:55)
    at $iwC.<init>(<console>:57)
    at <init>(<console>:59)
    at .<init>(<console>:63)
    at .<clinit>(<console>)
    at .<init>(<console>:7)
    at .<clinit>(<console>)
    at $print(<console>)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:497)
    at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
    at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340)
    at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
    at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
    at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
    at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$pasteCommand(SparkILoop.scala:825)
    at org.apache.spark.repl.SparkILoop$$anonfun$standardCommands$8.apply(SparkILoop.scala:345)
    at org.apache.spark.repl.SparkILoop$$anonfun$standardCommands$8.apply(SparkILoop.scala:345)
    at scala.tools.nsc.interpreter.LoopCommands$LoopCommand$$anonfun$nullary$1.apply(LoopCommands.scala:65)
    at scala.tools.nsc.interpreter.LoopCommands$LoopCommand$$anonfun$nullary$1.apply(LoopCommands.scala:65)
    at scala.tools.nsc.interpreter.LoopCommands$NullaryCmd.apply(LoopCommands.scala:76)
    at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:809)
    at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657)
    at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665)
    at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$loop(SparkILoop.scala:670)
    at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:997)
    at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
    at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
    at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
    at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
    at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
    at org.apache.spark.repl.Main$.main(Main.scala:31)
    at org.apache.spark.repl.Main.main(Main.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:497)
    at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:674)
    at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
    at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.NoSuchMethodError: com.google.common.util.concurrent.Futures.withFallback(Lcom/google/common/util/concurrent/ListenableFuture;Lcom/google/common/util/concurrent/FutureFallback;Ljava/util/concurrent/Executor;)Lcom/google/common/util/concurrent/Listenab
leFuture;
        at com.datastax.driver.core.Connection.initAsync(Connection.java:178)
        at com.datastax.driver.core.Connection$Factory.open(Connection.java:742)
        at com.datastax.driver.core.ControlConnection.tryConnect(ControlConnection.java:240)
        at com.datastax.driver.core.ControlConnection.reconnectInternal(ControlConnection.java:187)
        at com.datastax.driver.core.ControlConnection.connect(ControlConnection.java:79)
        at com.datastax.driver.core.Cluster$Manager.init(Cluster.java:1393)
        at com.datastax.driver.core.Cluster.getMetadata(Cluster.java:402)
        at com.datastax.spark.connector.cql.CassandraConnector$.com$datastax$spark$connector$cql$CassandraConnector$$createSession(CassandraConnector.scala:155)
        ... 70 more
Автор: SikhNerd Источник Размещён: 17.07.2019 10:59

Ответы (3)


7 плюса

Решение

К сожалению, зависимость Hadoop от Guava 11 (в которой не упоминается метод Futures.withFallback) является давней проблемой, и действительно Hadoop 2.7.1 все еще зависит от Guava 11 .

Ядро Spark использует Guava 14, как можно видеть здесь, но это можно обойти, затеняя Guava внутри сборки Spark:

$ jar tf /usr/lib/spark/lib/spark-assembly.jar | grep concurrent.Futures
org/spark-project/guava/util/concurrent/Futures$1.class
org/spark-project/guava/util/concurrent/Futures$2.class
org/spark-project/guava/util/concurrent/Futures$3.class
org/spark-project/guava/util/concurrent/Futures$4.class
org/spark-project/guava/util/concurrent/Futures$5.class
org/spark-project/guava/util/concurrent/Futures$6.class
org/spark-project/guava/util/concurrent/Futures$ChainingListenableFuture$1.class
org/spark-project/guava/util/concurrent/Futures$ChainingListenableFuture.class
org/spark-project/guava/util/concurrent/Futures$CombinedFuture$1.class
org/spark-project/guava/util/concurrent/Futures$CombinedFuture$2.class
org/spark-project/guava/util/concurrent/Futures$CombinedFuture.class
org/spark-project/guava/util/concurrent/Futures$FallbackFuture$1$1.class
org/spark-project/guava/util/concurrent/Futures$FallbackFuture$1.class
org/spark-project/guava/util/concurrent/Futures$FallbackFuture.class
org/spark-project/guava/util/concurrent/Futures$FutureCombiner.class
org/spark-project/guava/util/concurrent/Futures$ImmediateCancelledFuture.class
org/spark-project/guava/util/concurrent/Futures$ImmediateFailedCheckedFuture.class
org/spark-project/guava/util/concurrent/Futures$ImmediateFailedFuture.class
org/spark-project/guava/util/concurrent/Futures$ImmediateFuture.class
org/spark-project/guava/util/concurrent/Futures$ImmediateSuccessfulCheckedFuture.class
org/spark-project/guava/util/concurrent/Futures$ImmediateSuccessfulFuture.class
org/spark-project/guava/util/concurrent/Futures$MappingCheckedFuture.class
org/spark-project/guava/util/concurrent/Futures.class

$ javap -cp /usr/lib/spark/lib/spark-assembly.jar org.spark-project.guava.util.concurrent.Futures
Compiled from "Futures.java"
public final class org.spark-project.guava.util.concurrent.Futures {
  public static <V, X extends java.lang.Exception> org.spark-project.guava.util.concurrent.CheckedFuture<V, X> makeChecked(org.spark-project.guava.util.concurrent.ListenableFuture<V>, com.google.common.base.Function<java.lang.Exception, X>);
  public static <V> org.spark-project.guava.util.concurrent.ListenableFuture<V> immediateFuture(V);
  public static <V, X extends java.lang.Exception> org.spark-project.guava.util.concurrent.CheckedFuture<V, X> immediateCheckedFuture(V);
  public static <V> org.spark-project.guava.util.concurrent.ListenableFuture<V> immediateFailedFuture(java.lang.Throwable);
  public static <V> org.spark-project.guava.util.concurrent.ListenableFuture<V> immediateCancelledFuture();
  public static <V, X extends java.lang.Exception> org.spark-project.guava.util.concurrent.CheckedFuture<V, X> immediateFailedCheckedFuture(X);
  public static <V> org.spark-project.guava.util.concurrent.ListenableFuture<V> withFallback(org.spark-project.guava.util.concurrent.ListenableFuture<? extends V>, org.spark-project.guava.util.concurrent.FutureFallback<? extends V>);
  public static <V> org.spark-project.guava.util.concurrent.ListenableFuture<V> withFallback(org.spark-project.guava.util.concurrent.ListenableFuture<? extends V>, org.spark-project.guava.util.concurrent.FutureFallback<? extends V>, java.util.concurrent.Executor);
  public static <I, O> org.spark-project.guava.util.concurrent.ListenableFuture<O> transform(org.spark-project.guava.util.concurrent.ListenableFuture<I>, org.spark-project.guava.util.concurrent.AsyncFunction<? super I, ? extends O>);
  public static <I, O> org.spark-project.guava.util.concurrent.ListenableFuture<O> transform(org.spark-project.guava.util.concurrent.ListenableFuture<I>, org.spark-project.guava.util.concurrent.AsyncFunction<? super I, ? extends O>, java.util.concurrent.Executor);
  public static <I, O> org.spark-project.guava.util.concurrent.ListenableFuture<O> transform(org.spark-project.guava.util.concurrent.ListenableFuture<I>, com.google.common.base.Function<? super I, ? extends O>);
  public static <I, O> org.spark-project.guava.util.concurrent.ListenableFuture<O> transform(org.spark-project.guava.util.concurrent.ListenableFuture<I>, com.google.common.base.Function<? super I, ? extends O>, java.util.concurrent.Executor);
  public static <I, O> java.util.concurrent.Future<O> lazyTransform(java.util.concurrent.Future<I>, com.google.common.base.Function<? super I, ? extends O>);
  public static <V> org.spark-project.guava.util.concurrent.ListenableFuture<V> dereference(org.spark-project.guava.util.concurrent.ListenableFuture<? extends org.spark-project.guava.util.concurrent.ListenableFuture<? extends V>>);
  public static <V> org.spark-project.guava.util.concurrent.ListenableFuture<java.util.List<V>> allAsList(org.spark-project.guava.util.concurrent.ListenableFuture<? extends V>...);
  public static <V> org.spark-project.guava.util.concurrent.ListenableFuture<java.util.List<V>> allAsList(java.lang.Iterable<? extends org.spark-project.guava.util.concurrent.ListenableFuture<? extends V>>);
  public static <V> org.spark-project.guava.util.concurrent.ListenableFuture<java.util.List<V>> successfulAsList(org.spark-project.guava.util.concurrent.ListenableFuture<? extends V>...);
  public static <V> org.spark-project.guava.util.concurrent.ListenableFuture<java.util.List<V>> successfulAsList(java.lang.Iterable<? extends org.spark-project.guava.util.concurrent.ListenableFuture<? extends V>>);
  public static <V> void addCallback(org.spark-project.guava.util.concurrent.ListenableFuture<V>, org.spark-project.guava.util.concurrent.FutureCallback<? super V>);
  public static <V> void addCallback(org.spark-project.guava.util.concurrent.ListenableFuture<V>, org.spark-project.guava.util.concurrent.FutureCallback<? super V>, java.util.concurrent.Executor);
  public static <V, X extends java.lang.Exception> V get(java.util.concurrent.Future<V>, java.lang.Class<X>) throws X;
  public static <V, X extends java.lang.Exception> V get(java.util.concurrent.Future<V>, long, java.util.concurrent.TimeUnit, java.lang.Class<X>) throws X;
  public static <V> V getUnchecked(java.util.concurrent.Future<V>);
  static {};
}

Вы можете следовать инструкциям здесь https://arjon.es/2015/making-hadoop-2.6-spark-cassandra-driver-play-nice-together/, чтобы также сделать затенение себя во время компиляции. С помощью spark-shell вы можете избежать некоторых изменений, spark.driver.extraClassPathкак упомянуто здесь , хотя столкновения могут продолжать возникать в различных точках.

Автор: Dennis Huo Размещён: 10.12.2015 07:31

0 плюса

У меня была та же проблема с запуском Spark в Eclipse после попытки загрузить Google GWT. Загрузите файл jar и укажите его в пути сборки в Eclipse или ClassPath где-либо еще -> http://www.java2s.com/Code/Jar/g/Downloadguava150rc1jar.htm

Автор: nikk Размещён: 21.07.2016 05:28

0 плюса

В случае, если вы используете gradle для создания толстой банки, вы можете использовать relocateв shadowJar:

shadowJar{
  zip64 true
  mergeServiceFiles()

  relocate 'com.google', 'hidden.google'
}
Автор: Pirooz Размещён: 28.08.2017 09:24
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