SAP Hana Vora：无法创建vora表

时间：2016-05-04 11:12:19

标签： sap hana vora

我正尝试在具有1个管理节点，1个主节点，2个工作节点和1个跳转框节点的5节点集群上使用Ambari 2.2在HDP 2.3上安装SAP HANA Vora。 安装完所有Vora服务后，我试图验证我的安装。 根据SAP HANA Vora文档，我需要从spark-sql创建一个vora表（使用com.sap.spark.vora的表），但是我得到了Exception。堆栈跟踪如下。

scala> import org.apache.spark.sql.SapSQLContext
import org.apache.spark.sql.SapSQLContext

scala> val vc = new SapSQLContext(sc)
16/05/04 06:54:32 INFO SapSQLContext: SapSQLContext [version: 1.2.33] created
vc: org.apache.spark.sql.SapSQLContext = org.apache.spark.sql.SapSQLContext@69e4e90b

scala> val testsql = """
     | CREATE TABLE table001 (a1 double, a2 int, a3 string)
     | USING com.sap.spark.vora
     | OPTIONS (tablename "table001", paths "/user/vora/test.csv")"""
testsql: String =
"
CREATE TABLE table001 (a1 double, a2 int, a3 string)
USING com.sap.spark.vora
OPTIONS (tablename "table001", paths "/user/vora/test.csv")"

scala> vc.sql(testsql)
OperationException{statusCode=500, statusMessage='Internal Server Error', statusContent='No cluster leader'}
        at com.ecwid.consul.v1.health.HealthConsulClient.getHealthServices(HealthConsulClient.java:96)
        at com.ecwid.consul.v1.health.HealthConsulClient.getHealthServices(HealthConsulClient.java:80)
        at com.ecwid.consul.v1.ConsulClient.getHealthServices(ConsulClient.java:324)
        at com.sap.spark.vora.discovery.ConsulDiscoveryClient$ConsulDiscoveryClient.lookupService(ConsulDiscoveryClient.scala:45)
        at com.sap.spark.vora.config.VoraConfiguration$.apply(VoraConfiguration.scala:37)
        at com.sap.spark.vora.DefaultSource.buildConfiguration(DefaultSource.scala:403)
        at com.sap.spark.vora.DefaultSource.createRelation(DefaultSource.scala:149)
        at org.apache.spark.sql.execution.datasources.CreateTableUsingTemporaryAwareCommand.resolveDataSource(CreateTableUsingTemporaryAwareCommand.scala:73)
        at org.apache.spark.sql.execution.datasources.CreateTableUsingTemporaryAwareCommand.run(CreateTableUsingTemporaryAwareCommand.scala:31)
        at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:57)
        at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:57)
        at org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:69)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:140)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:138)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
        at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:138)
        at org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:933)
        at org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:933)
        at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:144)
        at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:129)
        at org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:51)
        at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:725)
        at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:27)
        at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:32)
        at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:34)
        at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:36)
        at $iwC$$iwC$$iwC$$iwC.<init>(<console>:38)
        at $iwC$$iwC$$iwC.<init>(<console>:40)
        at $iwC$$iwC.<init>(<console>:42)
        at $iwC.<init>(<console>:44)
        at <init>(<console>:46)
        at .<init>(<console>:50)
        at .<clinit>(<console>)
        at .<init>(<console>:7)
        at .<clinit>(<console>)
        at $print(<console>)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:497)
        at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
        at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340)
        at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
        at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
        at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
        at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
        at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
        at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
        at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657)
        at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665)
        at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$loop(SparkILoop.scala:670)
        at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:997)
        at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
        at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
        at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
        at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
        at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
        at org.apache.spark.repl.Main$.main(Main.scala:31)
        at org.apache.spark.repl.Main.main(Main.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:497)
        at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:685)
        at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
        at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

请帮我解决这个问题...

1 个答案:

答案 0 :(得分：0)

错误消息No cluster leader表示Vora Discovery Service未正常运行。您需要3个不同节点上的最少3个发现服务器和所有其他节点上的发现客户端（从不在同一节点上运行客户端和服务器;它们是互斥的，因为它们使用相同的端口8500）。发现服务器将在他们自己之间选出一个领导者 - 根据消息，这一步骤没有发生。可能的原因是＆lt; 3台服务器正常运行。

要解决此问题，请至少运行3个Discovery Server。假设您有1个主服务器和2个工作服务器，您可能希望在3个节点中的每个节点上运行Discovery服务器（运行Discovery Server的节点上没有Discovery Clients）。跳转框应该有一个Discovery Clinet。有关问题排查，请参阅Vora Installation and Administration Guide和Troubleshooting Blog（如何？' - ＆gt;如何检查Vora发现服务的状态？）

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