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Posted to issues@spark.apache.org by "Bijith Kumar (JIRA)" <ji...@apache.org> on 2019/04/05 19:49:00 UTC
[jira] [Commented] (SPARK-16548) java.io.CharConversionException:
Invalid UTF-32 character prevents me from querying my data
[ 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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