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https://issues.apache.org/jira/browse/SPARK-16548?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16811206#comment-16811206
]
Bijith Kumar commented on SPARK-16548:
--------------------------------------
[~cloud_fan] I am getting the same Exception in Spark 2.3.2. Wondering why
would that happen since this is fixed in 2.3.0
{code:java}
java.io.CharConversionException: Invalid UTF-32 character 0x4d89aa(above
10ffff) at char #63, byte #255) 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.JacksonParser$$anonfun$parse$2.apply(JacksonParser.scala:350)
at
org.apache.spark.sql.catalyst.json.JacksonParser$$anonfun$parse$2.apply(JacksonParser.scala:347)
at org.apache.spark.util.Utils$.tryWithResource(Utils.scala:2589) at
org.apache.spark.sql.catalyst.json.JacksonParser.parse(JacksonParser.scala:347)
at
org.apache.spark.sql.execution.datasources.json.TextInputJsonDataSource$$anonfun$3.apply(JsonDataSource.scala:128)
at
org.apache.spark.sql.execution.datasources.json.TextInputJsonDataSource$$anonfun$3.apply(JsonDataSource.scala:128)
at
org.apache.spark.sql.execution.datasources.FailureSafeParser.parse(FailureSafeParser.scala:61)
at
org.apache.spark.sql.execution.datasources.json.TextInputJsonDataSource$$anonfun$readFile$2.apply(JsonDataSource.scala:132)
at
org.apache.spark.sql.execution.datasources.json.TextInputJsonDataSource$$anonfun$readFile$2.apply(JsonDataSource.scala:132)
at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) at
scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) at
scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:109)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source) at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:614)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at
scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at
scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at
scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:439) at
org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:191)
at
org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:63)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:109) at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345) at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
{code}
> java.io.CharConversionException: Invalid UTF-32 character prevents me from
> querying my data
> --------------------------------------------------------------------------------------------
>
> Key: SPARK-16548
> URL: https://issues.apache.org/jira/browse/SPARK-16548
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.1
> Reporter: Egor Pahomov
> Priority: Minor
> Fix For: 2.2.0, 2.3.0
>
>
> Basically, when I query my json data I get
> {code}
> java.io.CharConversionException: Invalid UTF-32 character 0x7b2265(above
> 10ffff) at char #192, byte #771)
> 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:1855)
> at
> com.fasterxml.jackson.core.json.ReaderBasedJsonParser.nextToken(ReaderBasedJsonParser.java:571)
> at
> org.apache.spark.sql.catalyst.expressions.GetJsonObject$$anonfun$eval$2$$anonfun$4.apply(jsonExpressions.scala:142)
> {code}
> I do not like it. If you can not process one json among 100500 please return
> null, do not fail everything. I have dirty one line fix, and I understand how
> I can make it more reasonable. What is our position - what behaviour we wanna
> get?
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