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https://issues.apache.org/jira/browse/SPARK-26146?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16772054#comment-16772054
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Michael Heuer commented on SPARK-26146:
---------------------------------------
Another possible reproducing case
[https://github.com/disq-bio/disq/pull/88]
> CSV wouln't be ingested in Spark 2.4.0 with Scala 2.12
> ------------------------------------------------------
>
> Key: SPARK-26146
> URL: https://issues.apache.org/jira/browse/SPARK-26146
> Project: Spark
> Issue Type: Bug
> Components: Input/Output
> Affects Versions: 2.4.0
> Reporter: Jean Georges Perrin
> Priority: Major
>
> Ingestion of a CSV file seems to fail with Spark v2.4.0 and Scala v2.12,
> where it works ok with Scala v2.11.
> When running a simple CSV ingestion like:{{ }}
> {code:java}
> // Creates a session on a local master
> SparkSession spark = SparkSession.builder()
> .appName("CSV to Dataset")
> .master("local")
> .getOrCreate();
> // Reads a CSV file with header, called books.csv, stores it in a
> dataframe
> Dataset<Row> df = spark.read().format("csv")
> .option("header", "true")
> .load("data/books.csv");
> {code}
> With Scala 2.12, I get:
> {code:java}
> Exception in thread "main" java.lang.ArrayIndexOutOfBoundsException: 10582
> at
> com.thoughtworks.paranamer.BytecodeReadingParanamer$ClassReader.accept(BytecodeReadingParanamer.java:563)
> at
> com.thoughtworks.paranamer.BytecodeReadingParanamer$ClassReader.access$200(BytecodeReadingParanamer.java:338)
> at
> com.thoughtworks.paranamer.BytecodeReadingParanamer.lookupParameterNames(BytecodeReadingParanamer.java:103)
> at
> com.thoughtworks.paranamer.CachingParanamer.lookupParameterNames(CachingParanamer.java:90)
> at
> com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.getCtorParams(BeanIntrospector.scala:44)
> at
> com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.$anonfun$apply$1(BeanIntrospector.scala:58)
> at
> com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.$anonfun$apply$1$adapted(BeanIntrospector.scala:58)
> at
> scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:240)
> ...
> at
> net.jgp.books.sparkWithJava.ch01.CsvToDataframeApp.start(CsvToDataframeApp.java:37)
> at
> net.jgp.books.sparkWithJava.ch01.CsvToDataframeApp.main(CsvToDataframeApp.java:21)
> {code}
> Where it works pretty smoothly if I switch back to 2.11.
> Full example available at
> [https://github.com/jgperrin/net.jgp.books.sparkWithJava.ch01.] You can
> modify pom.xml to change easily the Scala version in the property section:
> {code:java}
> <properties>
> <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
> <java.version>1.8</java.version>
> <scala.version>2.11</scala.version>
> <spark.version>2.4.0</spark.version>
> </properties>{code}
>
> (ps. It's my first bug submission, so I hope I did not mess too much, be
> tolerant if I did)
>
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