SparkSQL+Hive+Hbase+Hbase集成不起作用

当我尝试连接配置单元表（正在使用）时出现错误 通过 Hbase 集成创建）在 Spark 中

我遵循的步骤：Hive表创建代码 :

CREATE TABLE test.sample(id string,name string) 
STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler' WITH     
SERDEPROPERTIES ("hbase.columns.mapping" = ":key,details:name")
TBLPROPERTIES ("hbase.table.name" = "sample");

描述测试；

 col_name data_type comment
 id string from deserializer
 name string from deserializer

使用以下命令启动 Spark shell：

spark-shell --master local[2] --driver-class-path /usr/local/hive/lib/hive-   
hbase-handler-1.2.1.jar:
/usr/local/hbase/lib/hbase-server-0.98.9-  
hadoop2.jar:/usr/local/hbase/lib/hbase-protocol-0.98.9-hadoo2.jar:
/usr/local/hbase/lib/hbase-hadoop2-compat-0.98.9-  
hadoop2.jar:/usr/local/hbase/lib/hbase-hadoop-compat-0.98.9-hadoop2.jar:
/usr/local/hbase/lib/hbase-client-0.98.9-   
hadoop2.jar:/usr/local/hbase/lib/hbase-common-0.98.9-hadoop2.jar:
/usr/local/hbase/lib/htrace-core-2.04.jar:/usr/local/hbase/lib/hbase-common-  
0.98.9-hadoop2-tests.jar:
/usr/local/hbase/lib/hbase-server-0.98.9-hadoop2-  
tests.jar:/usr/local/hive/lib/zookeeper-3.4.6.jar:/usr/local/hive/lib/guava-  
14.0.1.jar

在火花外壳中：

val sqlContext=new org.apache.spark.sql.hive.HiveContext(sc)

sqlContext.sql(“select count(*) from test.sample”).collect()

堆栈跟踪 :

堆栈 SQL 上下文可用作 sqlContext。

scala> sqlContext.sql("select count(*) from test.sample").collect()

16/09/02 04:49:28 INFO parse.ParseDriver: Parsing command: select count(*) from test.sample
16/09/02 04:49:35 INFO parse.ParseDriver: Parse Completed
16/09/02 04:49:40 INFO metastore.HiveMetaStore: 0: get_table : db=test tbl=sample
16/09/02 04:49:40 INFO HiveMetaStore.audit: ugi=hdfs    ip=unknown-ip-addr  cmd=get_table : db=test tbl=sample  
java.lang.NoClassDefFoundError: org/apache/hadoop/hbase/util/Bytes
    at org.apache.hadoop.hive.hbase.HBaseSerDe.parseColumnsMapping(HBaseSerDe.java:184)
    at org.apache.hadoop.hive.hbase.HBaseSerDeParameters.<init>(HBaseSerDeParameters.java:73)
    at org.apache.hadoop.hive.hbase.HBaseSerDe.initialize(HBaseSerDe.java:117)
    at org.apache.hadoop.hive.serde2.AbstractSerDe.initialize(AbstractSerDe.java:53)
    at org.apache.hadoop.hive.serde2.SerDeUtils.initializeSerDe(SerDeUtils.java:521)
    at org.apache.hadoop.hive.metastore.MetaStoreUtils.getDeserializer(MetaStoreUtils.java:391)
    at org.apache.hadoop.hive.ql.metadata.Table.getDeserializerFromMetaStore(Table.java:276)
    at org.apache.hadoop.hive.ql.metadata.Table.getDeserializer(Table.java:258)
    at org.apache.hadoop.hive.ql.metadata.Table.getCols(Table.java:605)
    at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$getTableOption$1$$anonfun$3.apply(ClientWrapper.scala:331)
    at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$getTableOption$1$$anonfun$3.apply(ClientWrapper.scala:326)
    at scala.Option.map(Option.scala:145)
    at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$getTableOption$1.apply(ClientWrapper.scala:326)
    at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$getTableOption$1.apply(ClientWrapper.scala:321)
    at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$withHiveState$1.apply(ClientWrapper.scala:279)
    at org.apache.spark.sql.hive.client.ClientWrapper.liftedTree1$1(ClientWrapper.scala:226)
    at org.apache.spark.sql.hive.client.ClientWrapper.retryLocked(ClientWrapper.scala:225)
    at org.apache.spark.sql.hive.client.ClientWrapper.withHiveState(ClientWrapper.scala:268)
    at org.apache.spark.sql.hive.client.ClientWrapper.getTableOption(ClientWrapper.scala:321)
    at org.apache.spark.sql.hive.client.ClientInterface$class.getTable(ClientInterface.scala:122)
    at org.apache.spark.sql.hive.client.ClientWrapper.getTable(ClientWrapper.scala:60)
    at org.apache.spark.sql.hive.HiveMetastoreCatalog.lookupRelation(HiveMetastoreCatalog.scala:384)
    at org.apache.spark.sql.hive.HiveContext$$anon$2.org$apache$spark$sql$catalyst$analysis$OverrideCatalog$$super$lookupRelation(HiveContext.scala:457)
    at org.apache.spark.sql.catalyst.analysis.OverrideCatalog$class.lookupRelation(Catalog.scala:161)
    at org.apache.spark.sql.hive.HiveContext$$anon$2.lookupRelation(HiveContext.scala:457)
    at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.getTable(Analyzer.scala:303)

我使用的是hadoop 2.6.0，spark 1.6.0，hive 1.2.1，hbase 0.98.9

我在 hadoop-env.sh 中添加了此设置

export HADOOP_CLASSPATH=$HADOOP_CLASSPATH:$HBASE_HOME/lib/*

有人可以提出任何解决方案吗

java.lang.NoClassDefFoundError: org/apache/hadoop/hbase/util/Bytes

因为类路径中没有与hbase相关的jar

 export HADOOP_CLASSPATH=$HADOOP_CLASSPATH: `hbase classpath`  

应该包含所有 hbase 相关的 jar 文件 或者看看我的answer https://stackoverflow.com/a/35550151/647053在这里使用--jars

Note :要验证类路径，您可以在驱动程序中添加以下代码以打印所有类路径资源

斯卡拉版本：

val cl = ClassLoader.getSystemClassLoader
    cl.asInstanceOf[java.net.URLClassLoader].getURLs.foreach(println)

java :

import java.net.URL;

import java.net.URLClassLoader;
...

   ClassLoader cl = ClassLoader.getSystemClassLoader();

        URL[] urls = ((URLClassLoader)cl).getURLs();

        for(URL url: urls) {
            System.out.println(url.getFile());
        }