我已经安装了hadoop 2.5.2和hbase 1.0.1.1（彼此兼容）。但是在hadoop代码中我试图在hbase表中添加columnfamily。
我的代码是
Configuration hbaseConfiguration = HBaseConfiguration.create();
Job hbaseImportJob = new Job(hbaseConfiguration, "FileToHBase");
HBaseAdmin hbaseAdmin = new HBaseAdmin(hbaseConfiguration);
if (!hbaseAdmin.tableExists(Config_values.tableName)) {
TableName tableName1 = TableName.valueOf("tableName");
HTableDescriptor hTableDescriptor = new HTableDescriptor(tableName1);
HColumnDescriptor hColumnDescriptor1 = new HColumnDescriptor("columnFamily1");
hTableDescriptor.addFamily(hColumnDescriptor1);
hbaseAdmin.createTable(hTableDescriptor);
}
我收到此错误
java.lang.NoSuchMethodError：线程中的异常＆＃34; main＆＃34; java.lang.NoSuchMethodError： org.apache.hadoop.hbase.HTableDescriptor.addFamily（Lorg /阿帕奇/ hadoop的/ HBase的/ HColumnDescriptor;）V 在com.atm_ex.atm_ex.Profiles.profiles（Profiles.java:177）at com.atm_ex.atm_ex.App.main（App.java:28）at sun.reflect.NativeMethodAccessorImpl.invoke0（Native Method）at sun.reflect.NativeMethodAccessorImpl.invoke（NativeMethodAccessorImpl.java:57） 在 sun.reflect.DelegatingMethodAccessorImpl.invoke（DelegatingMethodAccessorImpl.java:43） 在java.lang.reflect.Method.invoke（Method.java:606）at org.apache.hadoop.util.RunJar.main（RunJar.java:212）
答案 0 :(得分：1)
出于安全原因，您应该使用相同版本的hbase来编译和运行jar。当你运行mvn clean package -DskipTests = true时，请确保你的hbase pom依赖与你的cdh hbase匹配，而不是版本，但是它包含的方法相同，cdh可能不会遵循apache orign。也许你可以尝试在它的网站上使用支持cdh的pom（maven存储库）。
<name>c-cdh-maven-dep</name>
<!--- you need try both -->
<url>https://repository.cloudera.com/artifactory/cloudera-repos/</url>
<!--- i have tried this and it works well -->
<!-- <url>http://maven.apache.org</url> -->
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
</properties>
<!-- <repositories> <repository> <id>cloudera</id> <url>https://repository.cloudera.com/artifactory/cloudera-repos/</url>
</repository> </repositories> -->
<dependencies>
<!-- <dependency> <groupId>junit</groupId> <artifactId>junit</artifactId>
<version>3.8.1</version> <scope>test</scope> </dependency> -->
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>2.6.0-cdh5.7.0</version>
</dependency>
<!-- <dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-hdfs</artifactId>
<version>2.6.0-cdh5.7.0</version>
</dependency> -->
<!-- <dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-maven-plugins</artifactId>
<version>2.6.0-cdh5.7.0</version>
</dependency> -->
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-client</artifactId>
<version>1.2.0-cdh5.7.0</version>
</dependency>
<!-- <dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-client</artifactId>
<version>1.2.0</version>
</dependency> -->
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-hadoop2-compat</artifactId>
<version>1.2.0</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.10</artifactId>
<version>1.5.1</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.10</artifactId>
<version>1.5.1</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-hive_2.10</artifactId>
<version>1.5.1</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming_2.10</artifactId>
<version>1.5.1</version>
</dependency>
<!-- hadoop dependency start -->
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>2.6.0</version>
</dependency>
<!-- Hadoop dep end -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-kafka_2.10</artifactId>
<version>1.5.1</version>
</dependency>
<!-- spark dep end -->
<dependency>
<groupId>org.clojure</groupId>
<artifactId>clojure</artifactId>
<version>1.6.0</version>
</dependency>
<dependency>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
<version>11.0.2</version>
</dependency>
<dependency>
<groupId>com.google.protobuf</groupId>
<artifactId>protobuf-java</artifactId>
<version>2.5.0</version>
</dependency>
<dependency>
<groupId>io.netty</groupId>
<artifactId>netty</artifactId>
<version>3.6.6.Final</version>
</dependency>
<dependency>
<groupId>org.apache.zookeeper</groupId>
<artifactId>zookeeper</artifactId>
<version>3.4.5</version>
</dependency>
<dependency>
<groupId>org.cloudera.htrace</groupId>
<artifactId>htrace-core</artifactId>
<version>2.01</version>
</dependency>
<!-- <dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase</artifactId>
<version>2.0.0-SNAPSHOT</version>
<type>pom</type>
</dependency> -->
<!-- hbase dep start -->
<!-- https://mvnrepository.com/artifact/org.apache.hbase/hbase -->
<!-- <dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase</artifactId>
<version>1.2.0</version>
<type>pom</type>
</dependency> -->
<!-- <dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-common</artifactId>
<version>1.0.0</version>
</dependency> -->
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-server</artifactId>
<version>1.2.0</version>
</dependency>
答案 1 :(得分：0)
HBase相关的jar文件必须包含在MapReduce作业中。查看this Cloudera博客了解更多详情。
答案 2 :(得分：0)
我也遇到过这样的错误！但在另一种情况下：我使用hbase-0.98编译我的jar，尽管我使用hbase-1.0.1.1运行它。
最后我发现在hbase-0.98中，方法签名是
，但是在hbase-1.0.1.1中它是
有不同的！
出于安全原因，您应该使用相同版本的hbase来编译和运行jar。