【发布时间】：2016-09-02 05:59:14
【问题描述】：
当我尝试连接配置单元表时出现错误（正在 在 spark 中通过 HbaseIntegration 创建）
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$.getTable(Analyzer.scala:303)
我正在使用 hadoop 2.6.0、spark 1.6.0、hive 1.2.1、hbase 0.98.9
我在 hadoop-env.sh 中添加了这个设置
export HADOOP_CLASSPATH=$HADOOP_CLASSPATH:$HBASE_HOME/lib/*
可以请一些机构提出任何解决方案
【问题讨论】：
-
java.lang.NoClassDefFoundError: org/apache/hadoop/hbase/util/Bytes，检查你的类路径 -
感谢 Alexander 的回复，我添加了 classpath，exportSPARK_HOME=/usr/local/spark export PATH=$PATH:$SPARK_HOME/bin:$SPARK_HOME/sbin export SPARK_CLASSPATH=$SPARK_HOME/lib :$HBASE_HOME/lib:$HIVE_HOME/lib 你能告诉我我做的有什么错误吗？
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我是spark新手。现在我可以通过SparkSQL查询Hive托管表。但是我不知道如何通过SparkSQL查询Hive的HbaseStorage Handler表。请指导我。谢谢亚历山大。
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对不起，我不知道HBase，如果您对Hbas有疑问，请尝试在Google上搜索或提出新问题以获得帮助！
-
谢谢亚历山大，您的回复。
标签： hadoop apache-spark hive hbase apache-spark-sql