apache-spark - 由于数据类型不匹配“SerializeFromObject”，Spark FlatMapGroupsWithStateFunction 抛出无法解析“named_struct()”

Question

我在我的火花流应用程序中使用 FlatMapGroupsWithStateFunction。

 FlatMapGroupsWithStateFunction<String, Row, SessionInfo, SessionUpdate> idstateUpdateFunction =
  new FlatMapGroupsWithStateFunction<String, Row, SessionInfo, SessionUpdate>() {.....}

会话更新类如下；

  public static class SessionUpdate implements Serializable {

private static final long serialVersionUID = -3858977319192658483L;

private String instanceId;

private ArrayList<GenericRowWithSchema> milestones = new ArrayList<GenericRowWithSchema>();

private Timestamp processingTimeoutTimestamp;

public SessionUpdate() { 
  super();
}

public SessionUpdate(String instanceId, ArrayList<GenericRowWithSchema> milestones, Timestamp processingTimeoutTimestamp) {
  super();
  this.instanceId = instanceId;
  this.milestones = milestones;
  this.processingTimeoutTimestamp = processingTimeoutTimestamp;
}

public String getInstanceId() {
  return instanceId;
}

public void setInstanceId(String instanceId) {
  this.instanceId = instanceId;
}

public ArrayList<GenericRowWithSchema> getMilestones() {
  return milestones;
}

public void setMilestones(ArrayList<GenericRowWithSchema> milestones) {
  this.milestones = milestones;
}

public Timestamp getProcessingTimeoutTimestamp() {
  return processingTimeoutTimestamp;
}

public void setProcessingTimeoutTimestamp(Timestamp processingTimeoutTimestamp) {
  this.processingTimeoutTimestamp = processingTimeoutTimestamp;
}

}

在将以下内容添加到类中后，我得到了如下所述的异常；

private ArrayList<GenericRowWithSchema> milestones = new ArrayList<GenericRowWithSchema>();

例外：

ERROR  cannot resolve 'named_struct()' due to data type mismatch: input to function named_struct requires at least one argument;;

'SerializeFromObject [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, assertnotnull(input[0, oracle.insight.spark.event_processor.EventProcessor$SessionUpdate, true]).getInstanceId, true, false) AS instanceId#62, mapobjects(MapObjects_loopValue2, MapObjects_loopIsNull2, ObjectType(class org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema), if (isnull(lambdavariable(MapObjects_loopValue2, MapObjects_loopIsNull2, ObjectType(class org.apache.spark.sql. catalyst.expressions.GenericRowWithSchema), true))) null else named_struct(), assertnotnull(input[0, oracle.insight.spark.event_processor.EventProcessor$SessionUpdate, true]).getMilestones, None) AS 里程碑#63, staticinvoke(类 org.apache.spark.sql.catalyst.util.DateTimeUtils$, TimestampType, fromJavaTimestamp, assertnotnull(input[0, oracle.insight.spark.event_processor.EventProcessor$SessionUpdate, true]).getProcessingTimeoutTimestamp, true, false) AS processingTimeoutTimestamp#64] +- FlatMapGroupsWithState , cast(value#54 as string).toString, createexternalrow(EventTime#23.toString, InstanceID# 24.toString、Model#25.toString、Milestone#26.toString、Region#27.toString、SalesOrganization#28.toString、ProductName#29.toString、ReasonForQuoteReject#30.toString、ReasonforRejectionBy#31.toString、OpportunityAmount#32。 toJavaBigDecimal, Discount#33.toJavaBigDecimal, TotalQuoteAmount#34.toJavaBigDecimal, NetQuoteAmount#35.toJavaBigDecimal, ApprovedDiscount#36.toJavaBigDecimal, TotalOrderAmount#37.toJavaBigDecimal, StructField(EventTime,StringType,true), StructField(InstanceID,StringType,true), StructField(Model,StringType,true), StructField(里程碑,StringType,true), StructField(Region,StringType,true), StructField(SalesOrganization,StringType,true), StructField(ProductName,StringType,true), StructField(ReasonForQuoteReject,StringType,true), StructField(ReasonforRejectionBy,StringType,true), ... 还有 6 个字段), [ value#54], [EventTime#23, InstanceID#24, Model#25, Milestone#26, Region#27, SalesOrganization#28, ProductName#29, ReasonForQuoteReject#30, ReasonforRejectionBy#31, OpportunityAmount#32, Discount#33, TotalQuoteAmount#34，NetQuoteAmount#35，ApprovedDiscount#36，TotalOrderAmount#37]，obj#61：oracle.insight.spark.event_processor.EventProcessor$SessionUpdate，类[instanceId[0]：字符串，里程碑[0]：数组>， processingTimeoutTimestamp[0]: 时间戳], Append, false, ProcessingTimeTimeoutStringType,true), StructField(ReasonforRejectionBy,StringType,true), ... 还有 6 个字段), [value#54], [EventTime#23, InstanceID#24, Model#25, Milestone#26, Region#27, SalesOrganization #28，ProductName#29，ReasonForQuoteReject#30，ReasonForRejectionBy#31，OpportunityAmount#32，Discount#33，TotalQuoteAmount#34，NetQuoteAmount#35，ApprovedDiscount#36，TotalOrderAmount#37]，obj#61：oracle.insight.spark。 event_processor.EventProcessor$SessionUpdate, 类[instanceId[0]: 字符串, 里程碑[0]: 数组>, processingTimeoutTimestamp[0]: 时间戳], Append, false, ProcessingTimeTimeoutStringType,true), StructField(ReasonforRejectionBy,StringType,true), ... 还有 6 个字段), [value#54], [EventTime#23, InstanceID#24, Model#25, Milestone#26, Region#27, SalesOrganization #28，ProductName#29，ReasonForQuoteReject#30，ReasonForRejectionBy#31，OpportunityAmount#32，Discount#33，TotalQuoteAmount#34，NetQuoteAmount#35，ApprovedDiscount#36，TotalOrderAmount#37]，obj#61：oracle.insight.spark。 event_processor.EventProcessor$SessionUpdate, 类[instanceId[0]: 字符串, 里程碑[0]: 数组>, processingTimeoutTimestamp[0]: 时间戳], Append, false, ProcessingTimeTimeoutDiscount#33，TotalQuoteAmount#34，NetQuoteAmount#35，ApprovedDiscount#36，TotalOrderAmount#37]，obj#61：oracle.insight.spark.event_processor.EventProcessor$SessionUpdate，类[instanceId[0]：字符串，里程碑[0] : array>, processingTimeoutTimestamp[0]: timestamp], Append, false, ProcessingTimeTimeoutDiscount#33，TotalQuoteAmount#34，NetQuoteAmount#35，ApprovedDiscount#36，TotalOrderAmount#37]，obj#61：oracle.insight.spark.event_processor.EventProcessor$SessionUpdate，类[instanceId[0]：字符串，里程碑[0] : array>, processingTimeoutTimestamp[0]: timestamp], Append, false, ProcessingTimeTimeout

任何线索为什么我会得到这个异常？

谢谢。

标签： apache-sparkapache-spark-sqlspark-streaming