Cómo resolver el problema de dependencia de Guava al enviar Uber Jar a Google Dataproc

Question

May 11, 2017, 11:05 AM

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

Cómo resolver el problema de dependencia de Guava al enviar Uber Jar a Google Dataproc

Estoy usando el complemento de sombra maven para compilar Uber jar para enviarlo como un trabajo al clúster de google dataproc. Google ha instalado Apache Spark 2.0.2 Apache Hadoop 2.7.3 en su clúster.

Apache spark 2.0.2 usa 14.0.1 de com.google.guava y apache hadoop 2.7.3 usa 11.0.2, ambos ya deberían estar en el classpath.

<plugin>
            <groupId>org.apache.maven.plugins</groupId>
            <artifactId>maven-shade-plugin</artifactId>
            <version>3.0.0</version>
            <executions>
                <execution>
                    <phase>package</phase>
                    <goals>
                        <goal>shade</goal>
                    </goals>
                    <configuration>
                    <!--  
                        <artifactSet>
                            <includes>
                                <include>com.google.guava:guava:jar:19.0</include>
                            </includes>
                        </artifactSet>
                    -->
                        <artifactSet>
                            <excludes>
                                <exclude>com.google.guava:guava:*</exclude>                                 
                            </excludes>
                        </artifactSet>
                    </configuration>
                </execution>
            </executions>
        </plugin>

Cuando incluyo guayaba 16.0.1 jar en el complemento de sombra, obtengo esta excepción:

Exception in thread "main" java.io.IOException: Failed to open native connection to Cassandra at {10.148.0.3}:9042
at com.datastax.spark.connector.cql.CassandraConnector$.com$datastax$spark$connector$cql$CassandraConnector$createSession(CassandraConnector.scala:163)
at com.datastax.spark.connector.cql.CassandraConnector$anonfun$3.apply(CassandraConnector.scala:149)
at com.datastax.spark.connector.cql.CassandraConnector$anonfun$3.apply(CassandraConnector.scala:149)
at com.datastax.spark.connector.cql.RefCountedCache.createNewValueAndKeys(RefCountedCache.scala:31)
at com.datastax.spark.connector.cql.RefCountedCache.acquire(RefCountedCache.scala:56)
at com.datastax.spark.connector.cql.CassandraConnector.openSession(CassandraConnector.scala:82)
at com.datastax.spark.connector.cql.CassandraConnector.withSessionDo(CassandraConnector.scala:110)
at com.datastax.spark.connector.cql.CassandraConnector.withClusterDo(CassandraConnector.scala:121)
at com.datastax.spark.connector.cql.Schema$.fromCassandra(Schema.scala:322)
at com.datastax.spark.connector.cql.Schema$.tableFromCassandra(Schema.scala:342)
at com.datastax.spark.connector.rdd.CassandraTableRowReaderProvider$class.tableDef(CassandraTableRowReaderProvider.scala:50)
at com.datastax.spark.connector.rdd.CassandraTableScanRDD.tableDef$lzycompute(CassandraTableScanRDD.scala:60)
at com.datastax.spark.connector.rdd.CassandraTableScanRDD.tableDef(CassandraTableScanRDD.scala:60)
at com.datastax.spark.connector.rdd.CassandraTableRowReaderProvider$class.verify(CassandraTableRowReaderProvider.scala:137)
at com.datastax.spark.connector.rdd.CassandraTableScanRDD.verify(CassandraTableScanRDD.scala:60)
at com.datastax.spark.connector.rdd.CassandraTableScanRDD.getPartitions(CassandraTableScanRDD.scala:232)
at org.apache.spark.rdd.RDD$anonfun$partitions$2.apply(RDD.scala:248)
at org.apache.spark.rdd.RDD$anonfun$partitions$2.apply(RDD.scala:246)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:246)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1913)
at org.apache.spark.rdd.RDD.count(RDD.scala:1134)
at com.test.scala.CreateVirtualTable$.main(CreateVirtualTable.scala:47)
at com.test.scala.CreateVirtualTable.main(CreateVirtualTable.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:736)
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$.main(SparkSubmit.scala:124)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.NoSuchMethodError: com.google.common.util.concurrent.Futures.withFallback(Lcom/google/common/util/concurrent/ListenableFuture;Lcom/google/common/util/concurrent/FutureFallback;Ljava/util/concurrent/Executor;)Lcom/google/common/util/concurrent/ListenableFuture;
at com.datastax.driver.core.Connection.initAsync(Connection.java:177)
at com.datastax.driver.core.Connection$Factory.open(Connection.java:731)
at com.datastax.driver.core.ControlConnection.tryConnect(ControlConnection.java:251)
at com.datastax.driver.core.ControlConnection.reconnectInternal(ControlConnection.java:199)
at com.datastax.driver.core.ControlConnection.connect(ControlConnection.java:77)
at com.datastax.driver.core.Cluster$Manager.init(Cluster.java:1414)
at com.datastax.driver.core.Cluster.getMetadata(Cluster.java:393)
at com.datastax.spark.connector.cql.CassandraConnector$.com$datastax$spark$connector$cql$CassandraConnector$createSession(CassandraConnector.scala:156)

... 32 more
17/05/10 09:07:36 INFO

Y si excluyo Guava 16.0.1, arroja esta excepción

Exception in thread "main" java.lang.NoClassDefFoundError: com/google/common/reflect/TypeParameter
at com.datastax.driver.core.SanityChecks.checkGuava(SanityChecks.java:50)
at com.datastax.driver.core.SanityChecks.check(SanityChecks.java:36)
at com.datastax.driver.core.Cluster.<clinit>(Cluster.java:67)
at com.datastax.spark.connector.cql.DefaultConnectionFactory$.clusterBuilder(CassandraConnectionFactory.scala:35)
at com.datastax.spark.connector.cql.DefaultConnectionFactory$.createCluster(CassandraConnectionFactory.scala:92)
at com.datastax.spark.connector.cql.CassandraConnector$.com$datastax$spark$connector$cql$CassandraConnector$createSession(CassandraConnector.scala:154)
at com.datastax.spark.connector.cql.CassandraConnector$anonfun$3.apply(CassandraConnector.scala:149)
at com.datastax.spark.connector.cql.CassandraConnector$anonfun$3.apply(CassandraConnector.scala:149)
at com.datastax.spark.connector.cql.RefCountedCache.createNewValueAndKeys(RefCountedCache.scala:31)
at com.datastax.spark.connector.cql.RefCountedCache.acquire(RefCountedCache.scala:56)
at com.datastax.spark.connector.cql.CassandraConnector.openSession(CassandraConnector.scala:82)
at com.datastax.spark.connector.cql.CassandraConnector.withSessionDo(CassandraConnector.scala:110)
at com.datastax.spark.connector.cql.CassandraConnector.withClusterDo(CassandraConnector.scala:121)
at com.datastax.spark.connector.cql.Schema$.fromCassandra(Schema.scala:322)
at com.datastax.spark.connector.cql.Schema$.tableFromCassandra(Schema.scala:342)
at com.datastax.spark.connector.rdd.CassandraTableRowReaderProvider$class.tableDef(CassandraTableRowReaderProvider.scala:50)
at com.datastax.spark.connector.rdd.CassandraTableScanRDD.tableDef$lzycompute(CassandraTableScanRDD.scala:60)
at com.datastax.spark.connector.rdd.CassandraTableScanRDD.tableDef(CassandraTableScanRDD.scala:60)
at com.datastax.spark.connector.rdd.CassandraTableRowReaderProvider$class.verify(CassandraTableRowReaderProvider.scala:137)
at com.datastax.spark.connector.rdd.CassandraTableScanRDD.verify(CassandraTableScanRDD.scala:60)
at com.datastax.spark.connector.rdd.CassandraTableScanRDD.getPartitions(CassandraTableScanRDD.scala:232)
at org.apache.spark.rdd.RDD$anonfun$partitions$2.apply(RDD.scala:248)
at org.apache.spark.rdd.RDD$anonfun$partitions$2.apply(RDD.scala:246)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:246)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1913)
at org.apache.spark.rdd.RDD.count(RDD.scala:1134)
at com.test.scala.CreateVirtualTable$.main(CreateVirtualTable.scala:47)
at com.test.scala.CreateVirtualTable.main(CreateVirtualTable.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:736)
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.ClassNotFoundException: com.google.common.reflect.TypeParameter
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
... 38 more
17/05/11 08:24:00 INFO org.spark_project.jetty.server.ServerConnector: Stopped ServerConnector@edc6a5d{HTTP/1.1}{0.0.0.0:4040}
17/05/11 08:24:00 INFO com.datastax.spark.connector.util.SerialShutdownHooks: Successfully executed shutdown hook: Clearing session cache for C* connector

Entonces, ¿cuál puede ser el problema aquí? ¿classloader en dataproc está eligiendo guava 11.0.2 de hadoop? como guava 11.0.2 no tiene la clase com / google / common / reflect / TypeParameter. Todos los desarrolladores de google dataproc que vean esta etiqueta, por favor, ayuden.