使用 SHC 从 HBase 读取数据时出错

如何解决使用 SHC 从 HBase 读取数据时出错

我是 Spark 的新手,想从 HBase 表读取/写入数据。我跟着这个 article 并在读取数据时遇到错误。

版本: 火花:2.4.7; HBase:1.4.13; 斯卡拉:2.11.12

命令:

spark-shell --jars /usr/lib/hbase/shc/core/target/shc-core-1.1.3-2.4-s_2.11.jar,/usr/lib/hbase/lib/htrace-core4-4.1.0-incubating.jar,/usr/lib/hbase/hbase-client.jar,/usr/lib/hbase/hbase-common.jar,/usr/lib/hbase/hbase-server.jar,/usr/lib/hbase/hbase-protocol.jar,/usr/lib/hbase/lib/htrace-core4-4.1.0-incubating.jar

错误:java.lang.NoClassDefFoundError: org/apache/hadoop/hbase/client/TableDescriptor

Error Screenshot

我还在 cloudera 上尝试了其他 blogsarticles,但每次都卡在同样的错误上。

我使用的版本或其他版本之间是否存在兼容性问题?

更新 #1

通过升级 hbase-client、hbase-server、hbase-protocol 版本,我能够解决上述错误。还必须在命令中包含 hbase-shaded-miscellaneous 和 hbase-protocol-shaded。

更新命令:

spark-shell --jars /usr/lib/hbase/shc/core/target/shc-core-1.1.3-2.4-s_2.11.jar,/usr/lib/hbase/hbase-client-2.4.0.jar,/usr/lib/hbase/hbase-common-2.4.0.jar,/usr/lib/hbase/hbase-server-2.4.0.jar,/usr/lib/hbase/hbase-protocol-2.4.0.jar,/usr/lib/hbase/hbase-shaded-miscellaneous-2.2.1.jar,/usr/lib/hbase/hbase-protocol-shaded-2.4.0.jar

现在我收到另一个错误:

java.io.IOException: java.lang.reflect.UndeclaredThrowableException
  at org.apache.hadoop.hbase.client.ConnectionFactory.createConnection(ConnectionFactory.java:232)
  at org.apache.hadoop.hbase.client.ConnectionFactory.createConnection(ConnectionFactory.java:128)
  at org.apache.spark.sql.execution.datasources.hbase.HBaseConnectionCache$$anonfun$getConnection$1.apply(HBaseConnectionCache.scala:144)
  at org.apache.spark.sql.execution.datasources.hbase.HBaseConnectionCache$$anonfun$getConnection$1.apply(HBaseConnectionCache.scala:144)
  at org.apache.spark.sql.execution.datasources.hbase.HBaseConnectionCache$$anonfun$1.apply(HBaseConnectionCache.scala:135)
  at org.apache.spark.sql.execution.datasources.hbase.HBaseConnectionCache$$anonfun$1.apply(HBaseConnectionCache.scala:133)
  at scala.collection.mutable.HashMap.getOrElseUpdate(HashMap.scala:79)
  at org.apache.spark.sql.execution.datasources.hbase.HBaseConnectionCache$.getConnection(HBaseConnectionCache.scala:133)
  at org.apache.spark.sql.execution.datasources.hbase.HBaseConnectionCache$.getConnection(HBaseConnectionCache.scala:144)
  at org.apache.spark.sql.execution.datasources.hbase.RegionResource.init(HBaseResources.scala:96)
  at org.apache.spark.sql.execution.datasources.hbase.ReferencedResource$class.liftedTree1$1(HBaseResources.scala:60)
  at org.apache.spark.sql.execution.datasources.hbase.ReferencedResource$class.acquire(HBaseResources.scala:57)
  at org.apache.spark.sql.execution.datasources.hbase.RegionResource.acquire(HBaseResources.scala:91)
  at org.apache.spark.sql.execution.datasources.hbase.ReferencedResource$class.releaseOnException(HBaseResources.scala:77)
  at org.apache.spark.sql.execution.datasources.hbase.RegionResource.releaseOnException(HBaseResources.scala:91)
  at org.apache.spark.sql.execution.datasources.hbase.RegionResource.<init>(HBaseResources.scala:111)
  at org.apache.spark.sql.execution.datasources.hbase.HBaseTableScanRDD.getPartitions(HBaseTableScan.scala:66)
  at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:273)
  at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:269)
  at scala.Option.getOrElse(Option.scala:121)
  at org.apache.spark.rdd.RDD.partitions(RDD.scala:269)
  at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
  at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:273)
  at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:269)
  at scala.Option.getOrElse(Option.scala:121)
  at org.apache.spark.rdd.RDD.partitions(RDD.scala:269)
  at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
  at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:273)
  at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:269)
  at scala.Option.getOrElse(Option.scala:121)
  at org.apache.spark.rdd.RDD.partitions(RDD.scala:269)
  at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
  at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:273)
  at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:269)
  at scala.Option.getOrElse(Option.scala:121)
  at org.apache.spark.rdd.RDD.partitions(RDD.scala:269)
  at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
  at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:273)
  at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:269)
  at scala.Option.getOrElse(Option.scala:121)
  at org.apache.spark.rdd.RDD.partitions(RDD.scala:269)
  at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:384)
  at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38)
  at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:3416)
  at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2553)
  at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2553)
  at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3391)
  at org.apache.spark.sql.execution.SQLExecution$.org$apache$spark$sql$execution$SQLExecution$$executeQuery$1(SQLExecution.scala:83)
  at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1$$anonfun$apply$1.apply(SQLExecution.scala:94)
  at org.apache.spark.sql.execution.QueryExecutionMetrics$.withMetrics(QueryExecutionMetrics.scala:141)
  at org.apache.spark.sql.execution.SQLExecution$.org$apache$spark$sql$execution$SQLExecution$$withMetrics(SQLExecution.scala:178)
  at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:93)
  at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:200)
  at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:92)
  at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$withAction(Dataset.scala:3390)
  at org.apache.spark.sql.Dataset.head(Dataset.scala:2553)
  at org.apache.spark.sql.Dataset.take(Dataset.scala:2767)
  at org.apache.spark.sql.Dataset.getRows(Dataset.scala:256)
  at org.apache.spark.sql.Dataset.showString(Dataset.scala:293)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:754)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:713)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:722)
  ... 55 elided
Caused by: java.lang.reflect.UndeclaredThrowableException: java.lang.reflect.InvocationTargetException: java.lang.NoClassDefFoundError: org/apache/hbase/thirdparty/com/google/protobuf/RpcController
  at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1944)
  at org.apache.hadoop.hbase.security.User$SecureHadoopUser.runAs(User.java:347)
  at org.apache.hadoop.hbase.client.ConnectionFactory.createConnection(ConnectionFactory.java:228)
  ... 116 more
Caused by: java.lang.reflect.InvocationTargetException: java.lang.NoClassDefFoundError: org/apache/hbase/thirdparty/com/google/protobuf/RpcController
  at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
  at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
  at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
  at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
  at org.apache.hadoop.hbase.client.ConnectionFactory.lambda$createConnection$0(ConnectionFactory.java:230)
  at java.security.AccessController.doPrivileged(Native Method)
  at javax.security.auth.Subject.doAs(Subject.java:422)
  at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1926)
  ... 118 more
Caused by: java.lang.NoClassDefFoundError: org/apache/hbase/thirdparty/com/google/protobuf/RpcController
  at java.lang.ClassLoader.defineClass1(Native Method)
  at java.lang.ClassLoader.defineClass(ClassLoader.java:756)
  at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142)
  at java.net.URLClassLoader.defineClass(URLClassLoader.java:468)
  at java.net.URLClassLoader.access$100(URLClassLoader.java:74)
  at java.net.URLClassLoader$1.run(URLClassLoader.java:369)
  at java.net.URLClassLoader$1.run(URLClassLoader.java:363)
  at java.security.AccessController.doPrivileged(Native Method)
  at java.net.URLClassLoader.findClass(URLClassLoader.java:362)
  at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
  at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
  at org.apache.hadoop.hbase.client.ConnectionImplementation.<init>(ConnectionImplementation.java:286)
  ... 126 more
Caused by: java.lang.ClassNotFoundException: org.apache.hbase.thirdparty.com.google.protobuf.RpcController
  at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
  at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
  at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
  ... 138 more

我哪里出错了?

版权声明:本文内容由互联网用户自发贡献,该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 dio@foxmail.com 举报,一经查实,本站将立刻删除。

相关推荐


使用本地python环境可以成功执行 import pandas as pd import matplotlib.pyplot as plt # 设置字体 plt.rcParams[&#39;font.sans-serif&#39;] = [&#39;SimHei&#39;] # 能正确显示负号 p
错误1:Request method ‘DELETE‘ not supported 错误还原:controller层有一个接口,访问该接口时报错:Request method ‘DELETE‘ not supported 错误原因:没有接收到前端传入的参数,修改为如下 参考 错误2:cannot r
错误1:启动docker镜像时报错:Error response from daemon: driver failed programming external connectivity on endpoint quirky_allen 解决方法:重启docker -&gt; systemctl r
错误1:private field ‘xxx‘ is never assigned 按Altʾnter快捷键,选择第2项 参考:https://blog.csdn.net/shi_hong_fei_hei/article/details/88814070 错误2:启动时报错,不能找到主启动类 #
报错如下,通过源不能下载,最后警告pip需升级版本 Requirement already satisfied: pip in c:\users\ychen\appdata\local\programs\python\python310\lib\site-packages (22.0.4) Coll
错误1:maven打包报错 错误还原:使用maven打包项目时报错如下 [ERROR] Failed to execute goal org.apache.maven.plugins:maven-resources-plugin:3.2.0:resources (default-resources)
错误1:服务调用时报错 服务消费者模块assess通过openFeign调用服务提供者模块hires 如下为服务提供者模块hires的控制层接口 @RestController @RequestMapping(&quot;/hires&quot;) public class FeignControl
错误1:运行项目后报如下错误 解决方案 报错2:Failed to execute goal org.apache.maven.plugins:maven-compiler-plugin:3.8.1:compile (default-compile) on project sb 解决方案:在pom.
参考 错误原因 过滤器或拦截器在生效时,redisTemplate还没有注入 解决方案:在注入容器时就生效 @Component //项目运行时就注入Spring容器 public class RedisBean { @Resource private RedisTemplate&lt;String
使用vite构建项目报错 C:\Users\ychen\work&gt;npm init @vitejs/app @vitejs/create-app is deprecated, use npm init vite instead C:\Users\ychen\AppData\Local\npm-
参考1 参考2 解决方案 # 点击安装源 协议选择 http:// 路径填写 mirrors.aliyun.com/centos/8.3.2011/BaseOS/x86_64/os URL类型 软件库URL 其他路径 # 版本 7 mirrors.aliyun.com/centos/7/os/x86
报错1 [root@slave1 data_mocker]# kafka-console-consumer.sh --bootstrap-server slave1:9092 --topic topic_db [2023-12-19 18:31:12,770] WARN [Consumer clie
错误1 # 重写数据 hive (edu)&gt; insert overwrite table dwd_trade_cart_add_inc &gt; select data.id, &gt; data.user_id, &gt; data.course_id, &gt; date_format(
错误1 hive (edu)&gt; insert into huanhuan values(1,&#39;haoge&#39;); Query ID = root_20240110071417_fe1517ad-3607-41f4-bdcf-d00b98ac443e Total jobs = 1
报错1:执行到如下就不执行了,没有显示Successfully registered new MBean. [root@slave1 bin]# /usr/local/software/flume-1.9.0/bin/flume-ng agent -n a1 -c /usr/local/softwa
虚拟及没有启动任何服务器查看jps会显示jps,如果没有显示任何东西 [root@slave2 ~]# jps 9647 Jps 解决方案 # 进入/tmp查看 [root@slave1 dfs]# cd /tmp [root@slave1 tmp]# ll 总用量 48 drwxr-xr-x. 2
报错1 hive&gt; show databases; OK Failed with exception java.io.IOException:java.lang.RuntimeException: Error in configuring object Time taken: 0.474 se
报错1 [root@localhost ~]# vim -bash: vim: 未找到命令 安装vim yum -y install vim* # 查看是否安装成功 [root@hadoop01 hadoop]# rpm -qa |grep vim vim-X11-7.4.629-8.el7_9.x
修改hadoop配置 vi /usr/local/software/hadoop-2.9.2/etc/hadoop/yarn-site.xml # 添加如下 &lt;configuration&gt; &lt;property&gt; &lt;name&gt;yarn.nodemanager.res