Impala JDBC连接问题在火花集群模式下

Question

Impala JDBC连接在集群模式下运行SPARK作业时的异常下方。Spark Job创建了Hive Table，并且使用JDBC进行Impala Table无效/刷新。同一工作在Spark客户端模式下成功执行。

java.sql.SQLException: [Simba][ImpalaJDBCDriver](500164) Error initialized or created transport for authentication: [Simba][ImpalaJDBCDriver](500169) Unable to connect to server: GSS initiate failed. at om.cloudera.hivecommon.api.HiveServer2ClientFactory.createTransport(Unknown Source)
    at com.cloudera.hivecommon.api.HiveServer2ClientFactory.createClient(Unknown Source)
    at com.cloudera.hivecommon.core.HiveJDBCCommonConnection.connect(Unknown Source)
    at com.cloudera.impala.core.ImpalaJDBCConnection.connect(Unknown Source)
    at com.cloudera.jdbc.common.BaseConnectionFactory.doConnect(Unknown Source)
    at com.cloudera.jdbc.common.AbstractDriver.connect(Unknown Source)
    at java.sql.DriverManager.getConnection(DriverManager.java:664)
    at java.sql.DriverManager.getConnection(DriverManager.java:270)

Answer 1

  protected def getImpalaConnection(impalaJdbcDriver: String, impalaJdbcUrl: String): Connection = {
if (impalaJdbcDriver.length() == 0) return null
try {
  Class.forName(impalaJdbcDriver).newInstance
  UserGroupInformation.getLoginUser.doAs(
    new PrivilegedAction[Connection] {
      override def run(): Connection = DriverManager.getConnection(impalaJdbcUrl)
    }
  )
} catch {
  case e: Exception => {
    println(e.toString() + " --> " + e.getStackTraceString)
    throw e
  }
} }
val   impalaJdbcDriver = "com.cloudera.impala.jdbc41.Driver"
val impalaJdbcUrl = "jdbc:impala://<Impala_Host>:21050/default;AuthMech=1;SSL=1;KrbRealm=HOST.COM;KrbHostFQDN=_HOST;KrbServiceName=impala;REQUEST_POOL=xyz"
println("Start impala connection")
val impalaConnection = getImpalaConnection(impalaJdbcDriver,impalaJdbcUrl)

val result = impalaConnection.createStatement.executeQuery(s"SELECT COUNT(1) FROM testTable")
println("End impala connection")

建立厚罐，并在下面使用给定的Spark提交命令。您可以传递其他参数，例如文件，如有需要。

火花提交命令：

spark-submit --master yarn-cluster --keytab /home/testuser/testuser.keytab --principal [e-mail]  --queue xyz--class com.dim.UpdateImpala

按照您的Spark版本进行更改

spark1：usergroupinformation.getLoginuser

for spark2：usergroupinformation.getCurrentuser