SparkSql - 连接查询执行抛出 'object is not an instance of declaring class'

Question

我正在 SparkSession 上执行抛出 Object is not an instance of declaring class 的查询，下面是

之后的代码

Dataset<Row> results = spark.sql("SELECT t1.someCol FROM table1 t1 join table2 t2 on t1.someCol=t2.someCol");
    results.count();

异常发生在方法 count() 期间

我还观察到查询是否简单 select col from table1，运行正常但上面的连接查询会导致错误。

我正在使用 Spark 2.1 并在下面创建 SparkSession

SparkSession.builder().appName("Spark SQL").config(mysparkConf).getOrCreate();

更多堆栈跟踪如下：-

Driver stacktrace:
    at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1435)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage.apply(DAGScheduler.scala:1423)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage.apply(DAGScheduler.scala:1422)
    at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
    at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1422)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed.apply(DAGScheduler.scala:802)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed.apply(DAGScheduler.scala:802)
    at scala.Option.foreach(Option.scala:257)
    at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:802)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1650)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1605)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1594)
    at org.apache.spark.util.EventLoop$$anon.run(EventLoop.scala:48)
    at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:1918)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:1931)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:1944)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:1958)
    at org.apache.spark.rdd.RDD$$anonfun$collect.apply(RDD.scala:935)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
    at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
    at org.apache.spark.rdd.RDD.collect(RDD.scala:934)
    at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:275)
    at org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute.apply(Dataset.scala:2371)
    at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57)
    at org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2765)
    at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$execute(Dataset.scala:2370)
    at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collect(Dataset.scala:2377)
    at org.apache.spark.sql.Dataset$$anonfun$count.apply(Dataset.scala:2405)
    at org.apache.spark.sql.Dataset$$anonfun$count.apply(Dataset.scala:2404)
    at org.apache.spark.sql.Dataset.withCallback(Dataset.scala:2778)
    at org.apache.spark.sql.Dataset.count(Dataset.scala:2404)
    at com.citi.eq.ioi.engine.OrderMatchingEngine.main(OrderMatchingEngine.java:85)
Caused by: java.lang.IllegalArgumentException: object is not an instance of declaring class
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at org.apache.spark.sql.SQLContext$$anonfun$beansToRows$$anonfun$apply.apply(SQLContext.scala:1113)
    at org.apache.spark.sql.SQLContext$$anonfun$beansToRows$$anonfun$apply.apply(SQLContext.scala:1113)

Answer 1

当您没有特定于域的类型时，请勿使用数据集。而是使用 DataFrame，即数据集的无类型视图。

A Dataset is a strongly typed collection of domain-specific objects that can be transformed in parallel using functional or relational operations. Each Dataset also has an untyped view called a DataFrame, which is a Dataset of Row.

你可以参考这个： https://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.sql.Dataset

SparkSql - 连接查询执行抛出 'object is not an instance of declaring class'

SparkSql - Join Query execution throws 'object is not an instance of declaring class'

apache-spark

apache-spark-sql

apache-spark-dataset

spark-structured-streaming