这里的planner是org.apache.spark.sql.execution.SparkPlanner这个类,而这个类继承自org.apache.spark.sql.catalyst.planning.QueryPlanner,plan()方法也是在父类QueryPlanner中实现的。和RuleExecution类似,QueryPlanner中有一个返回Seq[GenericStrategy[PhysicalPlan]]的方法:def strategies: Seq[GenericStrategy[PhysicalPlan...
at org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$transformExpressionsDown$1.apply(QueryPlan.scala:258) at org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpression$1(QueryPlan.scala:279) at org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan...
Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 3 in stage 3.0 failed 1 times, most recent failure: Lost task 3.0 in stage 3.0 (TID 9, localhost, executor driver): java.lang.ClassCastException: org.apache.spark.sql.catalyst.expressions.Gen...
#> at org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpression$1(QueryPlan.scala:104) #> at org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$1(QueryPlan.scala:116) #> at org.apache.spark.sql.catalyst.plan...
at org.apache.spark.MapOutputTracker$.validateStatus(MapOutputTracker.scala:1701) at org.apache.spark.MapOutputTracker$.$anonfun$convertMapStatuses$10(MapOutputTracker.scala:1648) at org.apache.spark.MapOutputTracker$.$anonfun$convertMapStatuses$10$adapted(MapOutputTracker.scala:1647) ...
The logical plan is implemented by every operation leaf (algebraic or language construct) in Spark SQL, as DISTINCT (org.apache.spark.sql.catalyst.plans.logical.Distinct), JOIN (org.apache.spark.sql.catalyst.plans.logical.Join) or WHE...
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:103) at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:107) at org.apache.spark.sql.execution.SQLExecution$.withTracker(SQLExecution....
at org.apache.spark.sql.catalyst.analysis.Analyzer$$anonfun$executeAndCheck$1.apply(Analyzer.scala:108)at org.apache.spark.sql.catalyst.analysis.Analyzer$$anonfun$executeAndCheck$1.apply(Analyzer.scala:105)at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.markInAnalyzer(AnalysisHelper....
在EMR集群上按小时跑的spark sql 任务有时会失败,在driver端的日志中可以看到报错: org.apache.spark.sql.catalyst.errors.package$TreeNodeException: execute, tree 对应的yarn上的application的日志中可以看到在executor将创建的信息(执行步骤、广播变量)不断的发给driver ...
org.apache.spark.sql.catalyst.analysis.UnresolvedException 是Apache Spark SQL 中常见的一种异常,通常表示在解析 SQL 查询或 DataFrame 操作时,某些部分无法被正确解析或识别。完整的错误信息通常会包含更详细的描述,比如哪个具体的表达式或函数调用导致了问题。 2. 理解org.apache.spark.sql.catalyst.analysis.Unresolv...