[ https://issues.apache.org/jira/browse/SPARK-32081?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-32081. ---------------------------------- Resolution: Cannot Reproduce > facing Invalid UTF-32 character v2.4.5 running pyspark > ------------------------------------------------------ > > Key: SPARK-32081 > URL: https://issues.apache.org/jira/browse/SPARK-32081 > Project: Spark > Issue Type: Bug > Components: EC2 > Affects Versions: 2.4.5 > Reporter: Yaniv Kempler > Priority: Major > > 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) -- This message was sent by 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