我正在使用JBoss 6.1,我得到了一个带有注释方法的安全EJB @RolesAllowed("Admin").我试图用Arquillian测试这个方法.
我已经@Before在测试中成功完成了EJB日志,但是,它无法调用该方法.从TRACE日志中,我可以看到主体和角色是正确的(在这种情况下,'myuser'和'Admin'),但安全EJB的方法信息是错误的(requiredRoles为空).
TRACE [org.jboss.security.plugins.authorization.JBossAuthorizationContext] Control flag for entry:org.jboss.security.authorization.config.AuthorizationModuleEntry{org.jboss.security.authorization.modules.DelegatingAuthorizationModule:{}REQUIRED}is:[REQUIRED]
TRACE [org.jboss.security.authorization.modules.ejb.EJBPolicyModuleDelegate] method=public au.com.domain.DTOObject au.com.ejb.SecureServiceBean.save(au.com.domain.DTOObject), interface=Local, requiredRoles=Roles()
TRACE [org.jboss.security.authorization.modules.ejb.EJBPolicyModuleDelegate] Exception:Insufficient method permissions, principal=myuser, ejbName=SecureServiceBean, method=save, interface=Local, requiredRoles=Roles(), principalRoles=Roles(Admin,)
我能够在同一个EJB中成功调用一个方法@PermitAll.
我已经查找了关于安全EJB的Arquillian文档,但找不到任何文档.
非常感谢您的帮助.
- 林
我正在使用 Spark 2.2.0 进行数据处理。我正在使用 Dataframe.join 将 2 个数据帧连接在一起，但是我遇到了这个堆栈跟踪：
18/03/29 11:27:06 INFO YarnAllocator: Driver requested a total number of 0 executor(s).
18/03/29 11:27:09 ERROR FileFormatWriter: Aborting job null.
org.apache.spark.SparkException: Exception thrown in awaitResult:
at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:205)
at org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.doExecuteBroadcast(BroadcastExchangeExec.scala:123)
at org.apache.spark.sql.execution.InputAdapter.doExecuteBroadcast(WholeStageCodegenExec.scala:248)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeBroadcast$1.apply(SparkPlan.scala:127)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeBroadcast$1.apply(SparkPlan.scala:127)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:138)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:135)
at org.apache.spark.sql.execution.SparkPlan.executeBroadcast(SparkPlan.scala:126)
at org.apache.spark.sql.execution.joins.BroadcastHashJoinExec.prepareBroadcast(BroadcastHashJoinExec.scala:98)
at org.apache.spark.sql.execution.joins.BroadcastHashJoinExec.codegenInner(BroadcastHashJoinExec.scala:197)
at org.apache.spark.sql.execution.joins.BroadcastHashJoinExec.doConsume(BroadcastHashJoinExec.scala:82)
at org.apache.spark.sql.execution.CodegenSupport$class.consume(WholeStageCodegenExec.scala:155)
...........
Caused by: org.apache.spark.SparkException: Cannot broadcast the table that is larger than 8GB: 10 GB
at org.apache.spark.sql.execution.exchange.BroadcastExchangeExec$$anonfun$relationFuture$1$$anonfun$apply$1.apply(BroadcastExchangeExec.scala:86)
at org.apache.spark.sql.execution.exchange.BroadcastExchangeExec$$anonfun$relationFuture$1$$anonfun$apply$1.apply(BroadcastExchangeExec.scala:73)
at org.apache.spark.sql.execution.SQLExecution$.withExecutionId(SQLExecution.scala:103)
at …