Error: org.json4s.jackson.JsonMethods$.parse(Lorg/json4s/JsonInput;Z)Lorg/json4s/JsonAST$JValue;     at org.apache.spark.sql.types.DataType$.fromJson(DataType.scala:113)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$org$apache$spark$sql$execution$datasources$parquet$ParquetFileFormat$$deserializeSchemaString$3.apply(ParquetFileFormat.scala:648)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$org$apache$spark$sql$execution$datasources$parquet$ParquetFileFormat$$deserializeSchemaString$3.apply(ParquetFileFormat.scala:648)     at scala.util.Try$.apply(Try.scala:192)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$.org$apache$spark$sql$execution$datasources$parquet$ParquetFileFormat$$deserializeSchemaString(ParquetFileFormat.scala:648)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$readSchemaFromFooter$1.apply(ParquetFileFormat.scala:641)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$readSchemaFromFooter$1.apply(ParquetFileFormat.scala:641)     at scala.Option.flatMap(Option.scala:171)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$.readSchemaFromFooter(ParquetFileFormat.scala:641)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$9.apply(ParquetFileFormat.scala:599)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$9.apply(ParquetFileFormat.scala:581)     at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:800)     at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:800)     at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)     at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)     at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)     at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)     at org.apache.spark.scheduler.Task.run(Task.scala:109)     at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)     at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)     at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)     at java.lang.Thread.run(Unknown Source) 18/11/05 10:05:45 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, localhost, executor driver): java.lang.NoSuchMethodError: org.json4s.jackson.JsonMethods$.parse(Lorg/json4s/JsonInput;Z)Lorg/json4s/JsonAST$JValue;     at org.apache.spark.sql.types.DataType$.fromJson(DataType.scala:113)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$org$apache$spark$sql$execution$datasources$parquet$ParquetFileFormat$$deserializeSchemaString$3.apply(ParquetFileFormat.scala:648)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$org$apache$spark$sql$execution$datasources$parquet$ParquetFileFormat$$deserializeSchemaString$3.apply(ParquetFileFormat.scala:648)     at scala.util.Try$.apply(Try.scala:192)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$.org$apache$spark$sql$execution$datasources$parquet$ParquetFileFormat$$deserializeSchemaString(ParquetFileFormat.scala:648)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$readSchemaFromFooter$1.apply(ParquetFileFormat.scala:641)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$readSchemaFromFooter$1.apply(ParquetFileFormat.scala:641)     at scala.Option.flatMap(Option.scala:171)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$.readSchemaFromFooter(ParquetFileFormat.scala:641)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$9.apply(ParquetFileFormat.scala:599)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$9.apply(ParquetFileFormat.scala:581)     at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:800)     at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:800)     at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)     at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)     at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)     at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)     at org.apache.spark.scheduler.Task.run(Task.scala:109)     at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)     at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)     at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)     at java.lang.Thread.run(Unknown Source)

18/11/05 10:05:45 ERROR TaskSetManager: Task 0 in stage 0.0 failed 1 times; aborting job Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost, executor driver): java.lang.NoSuchMethodError: org.json4s.jackson.JsonMethods$.parse(Lorg/json4s/JsonInput;Z)Lorg/json4s/JsonAST$JValue;     at org.apache.spark.sql.types.DataType$.fromJson(DataType.scala:113)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$org$apache$spark$sql$execution$datasources$parquet$ParquetFileFormat$$deserializeSchemaString$3.apply(ParquetFileFormat.scala:648)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$org$apache$spark$sql$execution$datasources$parquet$ParquetFileFormat$$deserializeSchemaString$3.apply(ParquetFileFormat.scala:648)     at scala.util.Try$.apply(Try.scala:192)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$.org$apache$spark$sql$execution$datasources$parquet$ParquetFileFormat$$deserializeSchemaString(ParquetFileFormat.scala:648)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$readSchemaFromFooter$1.apply(ParquetFileFormat.scala:641)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$readSchemaFromFooter$1.apply(ParquetFileFormat.scala:641)     at scala.Option.flatMap(Option.scala:171)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$.readSchemaFromFooter(ParquetFileFormat.scala:641)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$9.apply(ParquetFileFormat.scala:599)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$9.apply(ParquetFileFormat.scala:581)     at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:800)     at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:800)     at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)     at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)     at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)     at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)     at org.apache.spark.scheduler.Task.run(Task.scala:109)     at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)     at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)     at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)     at java.lang.Thread.run(Unknown Source)

Driver stacktrace:     at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1602)     at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1590)     at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1589)     at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)     at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)     at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1589)     at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)     at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)     at scala.Option.foreach(Option.scala:257)     at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:831)     at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1823)     at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1772)     at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1761)     at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)     at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:642)     at org.apache.spark.SparkContext.runJob(SparkContext.scala:2034)     at org.apache.spark.SparkContext.runJob(SparkContext.scala:2055)     at org.apache.spark.SparkContext.runJob(SparkContext.scala:2074)     at org.apache.spark.SparkContext.runJob(SparkContext.scala:2099)     at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:939)     at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)     at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)     at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)     at org.apache.spark.rdd.RDD.collect(RDD.scala:938)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$.mergeSchemasInParallel(ParquetFileFormat.scala:611)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat.inferSchema(ParquetFileFormat.scala:241)     at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$8.apply(DataSource.scala:202)     at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$8.apply(DataSource.scala:202)     at scala.Option.orElse(Option.scala:289)     at org.apache.spark.sql.execution.datasources.DataSource.getOrInferFileFormatSchema(DataSource.scala:201)     at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:392)     at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:239)     at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:227)     at org.apache.spark.sql.DataFrameReader.parquet(DataFrameReader.scala:622)     at org.apache.spark.sql.DataFrameReader.parquet(DataFrameReader.scala:606)     at com.sykj.case_predict.model.TimeSeriesARIMA.getForcastValue(TimeSeriesARIMA.scala:46)     at com.sykj.case_predict.model.TimeSeriesARIMA$.main(TimeSeriesARIMA.scala:171)     at com.sykj.case_predict.model.TimeSeriesARIMA.main(TimeSeriesARIMA.scala) Caused by: java.lang.NoSuchMethodError: org.json4s.jackson.JsonMethods$.parse(Lorg/json4s/JsonInput;Z)Lorg/json4s/JsonAST$JValue;     at org.apache.spark.sql.types.DataType$.fromJson(DataType.scala:113)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$org$apache$spark$sql$execution$datasources$parquet$ParquetFileFormat$$deserializeSchemaString$3.apply(ParquetFileFormat.scala:648)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$org$apache$spark$sql$execution$datasources$parquet$ParquetFileFormat$$deserializeSchemaString$3.apply(ParquetFileFormat.scala:648)     at scala.util.Try$.apply(Try.scala:192)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$.org$apache$spark$sql$execution$datasources$parquet$ParquetFileFormat$$deserializeSchemaString(ParquetFileFormat.scala:648)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$readSchemaFromFooter$1.apply(ParquetFileFormat.scala:641)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$readSchemaFromFooter$1.apply(ParquetFileFormat.scala:641)     at scala.Option.flatMap(Option.scala:171)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$.readSchemaFromFooter(ParquetFileFormat.scala:641)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$9.apply(ParquetFileFormat.scala:599)     at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$9.apply(ParquetFileFormat.scala:581)     at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:800)     at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:800)     at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)     at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)     at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)     at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)     at org.apache.spark.scheduler.Task.run(Task.scala:109)     at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)     at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)     at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)     at java.lang.Thread.run(Unknown Source)

原因：Spark框架裡面已經有json4s包，我用Eclipse遠端除錯，自己的pom.xml檔案引入的json4s包版本與Spark裡面的版本不匹配，把自己的版本改為Spark框架引用的版本就可以了。【針對Spark2.2.0】

    <!-- https://mvnrepository.com/artifact/org.json4s/json4s-jackson -->     <dependency>         <groupId>org.json4s</groupId>         <artifactId>json4s-jackson_2.11</artifactId>         <version>3.2.11</version>     </dependency>     <!-- https://mvnrepository.com/artifact/org.json4s/json4s-native -->     <dependency>         <groupId>org.json4s</groupId>         <artifactId>json4s-native_2.11</artifactId>         <version>3.2.11</version>     </dependency>   </dependencies>