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https://issues.apache.org/jira/browse/SPARK-43843?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17726988#comment-17726988
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Bruce Robbins commented on SPARK-43843:
---------------------------------------
Nevermind, I had an old {{spark-avro_2.12-3.5.0-SNAPSHOT.jar}} laying about in
my {{work}} directory which the find in my {{--jars}} value found first.
> Saving an AVRO file with Scala 2.13 results in NoClassDefFoundError
> -------------------------------------------------------------------
>
> Key: SPARK-43843
> URL: https://issues.apache.org/jira/browse/SPARK-43843
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.5.0
> Environment: Scala version 2.13.8 (Java HotSpot(TM) 64-Bit Server VM,
> Java 11.0.12)
> Reporter: Bruce Robbins
> Priority: Major
>
> I launched spark-shell as so:
> {noformat}
> bin/spark-shell --driver-memory 8g --jars `find . -name "spark-avro*.jar" |
> grep -v test | head -1`
> {noformat}
> I got the below error trying to create an AVRO file:
> {noformat}
> scala> val df = Seq((1, 2), (3, 4)).toDF("a", "b")
> val df = Seq((1, 2), (3, 4)).toDF("a", "b")
> val df: org.apache.spark.sql.DataFrame = [a: int, b: int]
> scala> df.write.mode("overwrite").format("avro").save("avro_file")
> df.write.mode("overwrite").format("avro").save("avro_file")
> java.lang.NoClassDefFoundError: scala/collection/immutable/StringOps
> at
> org.apache.spark.sql.avro.AvroFileFormat.supportFieldName(AvroFileFormat.scala:160)
> at
> org.apache.spark.sql.execution.datasources.DataSourceUtils$.$anonfun$checkFieldNames$1(DataSourceUtils.scala:75)
> at
> org.apache.spark.sql.execution.datasources.DataSourceUtils$.$anonfun$checkFieldNames$1$adapted(DataSourceUtils.scala:74)
> at scala.collection.IterableOnceOps.foreach(IterableOnce.scala:563)
> at scala.collection.IterableOnceOps.foreach$(IterableOnce.scala:561)
> at org.apache.spark.sql.types.StructType.foreach(StructType.scala:105)
> at
> org.apache.spark.sql.execution.datasources.DataSourceUtils$.checkFieldNames(DataSourceUtils.scala:74)
> at
> org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:120)
> ...
> scala>
> {noformat}
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