Bug: facing Invalid UTF-32 character v2.4.5 running pyspark
Status: Resolved | Priority: Major | Resolution: Cannot Reproduce
Created: 24/Jun/20 05:14
Affects Version/s: 2.4.5

facing Invalid UTF-32 character while reading json files

 

Py4JJavaError Traceback (most recent call last) <timed exec> in <module> ~/.local/lib/python3.6/site-packages/pyspark/sql/readwriter.py in json(self, path, schema, primitivesAsString, prefersDecimal, allowComments, allowUnquotedFieldNames, allowSingleQuotes, allowNumericLeadingZero, allowBackslashEscapingAnyCharacter, mode, columnNameOfCorruptRecord, dateFormat, timestampFormat, multiLine, allowUnquotedControlChars, lineSep, samplingRatio, dropFieldIfAllNull, encoding)  284 keyed._bypass_serializer = True  285 jrdd = keyed._jrdd.map(self._spark._jvm.BytesToString()) --> 286 return self._df(self._jreader.json(jrdd))  287 else:  288 raise TypeError("path can be only string, list or RDD") ~/.local/lib/python3.6/site-packages/py4j/java_gateway.py in __call__(self, *args)  1255 answer = self.gateway_client.send_command(command)  1256 return_value = get_return_value( -> 1257 answer, self.gateway_client, self.target_id, self.name)  1258  1259 for temp_arg in temp_args: ~/.local/lib/python3.6/site-packages/pyspark/sql/utils.py in deco(*a, **kw)  61 def deco(*a, **kw):  62 try: ---> 63 return f(*a, **kw)  64 except py4j.protocol.Py4JJavaError as e:  65 s = e.java_exception.toString() ~/.local/lib/python3.6/site-packages/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)  326 raise Py4JJavaError(  327 "An error occurred while calling \{0}{1}\{2}.\n". --> 328 format(target_id, ".", name), value)  329 else:  330 raise Py4JError( Py4JJavaError: An error occurred while calling o67.json. : org.apache.spark.SparkException: Job aborted due to stage failure: Task 546 in stage 0.0 failed 4 times, most recent failure: Lost task 546.3 in stage 0.0 (TID 642, 172.31.30.196, executor 1): java.io.CharConversionException: Invalid UTF-32 character 0x1000000(above 10ffff) at char #206, byte #827) at com.fasterxml.jackson.core.io.UTF32Reader.reportInvalid(UTF32Reader.java:189) at com.fasterxml.jackson.core.io.UTF32Reader.read(UTF32Reader.java:150) at com.fasterxml.jackson.core.json.ReaderBasedJsonParser.loadMore(ReaderBasedJsonParser.java:153) at com.fasterxml.jackson.core.json.ReaderBasedJsonParser._skipWSOrEnd(ReaderBasedJsonParser.java:2017) at com.fasterxml.jackson.core.json.ReaderBasedJsonParser.nextToken(ReaderBasedJsonParser.java:577) at org.apache.spark.sql.catalyst.json.JsonInferSchema$$anonfun$1$$anonfun$apply$1$$anonfun$apply$3.apply(JsonInferSchema.scala:56) at org.apache.spark.sql.catalyst.json.JsonInferSchema$$anonfun$1$$anonfun$apply$1$$anonfun$apply$3.apply(JsonInferSchema.scala:55) at org.apache.spark.util.Utils$.tryWithResource(Utils.scala:2543) at org.apache.spark.sql.catalyst.json.JsonInferSchema$$anonfun$1$$anonfun$apply$1.apply(JsonInferSchema.scala:55) at org.apache.spark.sql.catalyst.json.JsonInferSchema$$anonfun$1$$anonfun$apply$1.apply(JsonInferSchema.scala:53) at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:435) at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:441) at scala.collection.Iterator$class.foreach(Iterator.scala:891) at scala.collection.AbstractIterator.foreach(Iterator.scala:1334) at scala.collection.TraversableOnce$class.reduceLeft(TraversableOnce.scala:185) at scala.collection.AbstractIterator.reduceLeft(Iterator.scala:1334) at scala.collection.TraversableOnce$class.reduceLeftOption(TraversableOnce.scala:203) at scala.collection.AbstractIterator.reduceLeftOption(Iterator.scala:1334) at scala.collection.TraversableOnce$class.reduceOption(TraversableOnce.scala:210) at scala.collection.AbstractIterator.reduceOption(Iterator.scala:1334) at org.apache.spark.sql.catalyst.json.JsonInferSchema$$anonfun$1.apply(JsonInferSchema.scala:70) at org.apache.spark.sql.catalyst.json.JsonInferSchema$$anonfun$1.apply(JsonInferSchema.scala:50) at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:823) at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:823) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346) at org.apache.spark.rdd.RDD.iterator(RDD.scala:310) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:123) at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) at java.base/java.lang.Thread.run(Thread.java:834) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1891) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1879) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1878) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1878) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:927) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:927) at scala.Option.foreach(Option.scala:257) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:927) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2112) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2061) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2050) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:738) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2061) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2158) at org.apache.spark.sql.catalyst.json.JsonInferSchema$.infer(JsonInferSchema.scala:83) at org.apache.spark.sql.execution.datasources.json.TextInputJsonDataSource$$anonfun$inferFromDataset$1.apply(JsonDataSource.scala:109) at org.apache.spark.sql.execution.datasources.json.TextInputJsonDataSource$$anonfun$inferFromDataset$1.apply(JsonDataSource.scala:109) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:127) at org.apache.spark.sql.execution.datasources.json.TextInputJsonDataSource$.inferFromDataset(JsonDataSource.scala:108) at org.apache.spark.sql.DataFrameReader$$anonfun$2.apply(DataFrameReader.scala:440) at org.apache.spark.sql.DataFrameReader$$anonfun$2.apply(DataFrameReader.scala:440) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.sql.DataFrameReader.json(DataFrameReader.scala:439) at org.apache.spark.sql.DataFrameReader.json(DataFrameReader.scala:420) at org.apache.spark.sql.DataFrameReader.json(DataFrameReader.scala:406) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at py4j.Gateway.invoke(Gateway.java:282) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:238) at java.lang.Thread.run(Thread.java:748) Caused by: java.io.CharConversionException: Invalid UTF-32 character 0x1000000(above 10ffff) at char #206, byte #827) at com.fasterxml.jackson.core.io.UTF32Reader.reportInvalid(UTF32Reader.java:189) at com.fasterxml.jackson.core.io.UTF32Reader.read(UTF32Reader.java:150) at com.fasterxml.jackson.core.json.ReaderBasedJsonParser.loadMore(ReaderBasedJsonParser.java:153) at com.fasterxml.jackson.core.json.ReaderBasedJsonParser._skipWSOrEnd(ReaderBasedJsonParser.java:2017) at com.fasterxml.jackson.core.json.ReaderBasedJsonParser.nextToken(ReaderBasedJsonParser.java:577) at org.apache.spark.sql.catalyst.json.JsonInferSchema$$anonfun$1$$anonfun$apply$1$$anonfun$apply$3.apply(JsonInferSchema.scala:56) at org.apache.spark.sql.catalyst.json.JsonInferSchema$$anonfun$1$$anonfun$apply$1$$anonfun$apply$3.apply(JsonInferSchema.scala:55) at org.apache.spark.util.Utils$.tryWithResource(Utils.scala:2543) at org.apache.spark.sql.catalyst.json.JsonInferSchema$$anonfun$1$$anonfun$apply$1.apply(JsonInferSchema.scala:55) at org.apache.spark.sql.catalyst.json.JsonInferSchema$$anonfun$1$$anonfun$apply$1.apply(JsonInferSchema.scala:53) at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:435) at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:441) at scala.collection.Iterator$class.foreach(Iterator.scala:891) at scala.collection.AbstractIterator.foreach(Iterator.scala:1334) at scala.collection.TraversableOnce$class.reduceLeft(TraversableOnce.scala:185) at scala.collection.AbstractIterator.reduceLeft(Iterator.scala:1334) at scala.collection.TraversableOnce$class.reduceLeftOption(TraversableOnce.scala:203) at scala.collection.AbstractIterator.reduceLeftOption(Iterator.scala:1334) at scala.collection.TraversableOnce$class.reduceOption(TraversableOnce.scala:210) at scala.collection.AbstractIterator.reduceOption(Iterator.scala:1334) at org.apache.spark.sql.catalyst.json.JsonInferSchema$$anonfun$1.apply(JsonInferSchema.scala:70) at org.apache.spark.sql.catalyst.json.JsonInferSchema$$anonfun$1.apply(JsonInferSchema.scala:50) at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:823) at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:823) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346) at org.apache.spark.rdd.RDD.iterator(RDD.scala:310) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:123) at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) at java.lang.Thread.run(Thread.java:834)