[jira] [Commented] (SPARK-26146) CSV wouln't be ingested in Spark 2.4.0 with Scala 2.12
[
https://issues.apache.org/jira/browse/SPARK-26146?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16782759#comment-16782759
]
Sean Owen commented on SPARK-26146:
---
Wait a sec, here's the explanation:
https://issues.apache.org/jira/browse/SPARK-26583
This is why the dependency graph is different; it was fixed after 2.4.0.
Making Spark a provided dependency is the right practice anyway (going to add
docs about that) and might also work around this.
> 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 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}
>
> UTF-8
> 1.8
> 2.11
> 2.4.0
> {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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[jira] [Commented] (SPARK-26146) CSV wouln't be ingested in Spark 2.4.0 with Scala 2.12
[
https://issues.apache.org/jira/browse/SPARK-26146?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16782526#comment-16782526
]
Sean Owen commented on SPARK-26146:
---
It's possible, even likely, that the dependency is transitive. In this case:
{code}
[INFO] net.jgp.books:spark-chapter01:jar:1.0.0-SNAPSHOT
[INFO] +- org.apache.spark:spark-core_2.11:jar:2.4.0:compile
[INFO] | +- org.apache.avro:avro:jar:1.8.2:compile
[INFO] | | +- org.codehaus.jackson:jackson-core-asl:jar:1.9.13:compile
[INFO] | | +- org.codehaus.jackson:jackson-mapper-asl:jar:1.9.13:compile
[INFO] | | +- com.thoughtworks.paranamer:paranamer:jar:2.7:compile
{code}
Here's what I'm confused about: Spark has depended on paranamer 2.8 since 2.3.0:
https://github.com/apache/spark/blob/v2.4.0/pom.xml#L185
{code}
[INFO] +- org.apache.spark:spark-core_2.12:jar:3.0.0-SNAPSHOT:compile
[INFO] | +- com.thoughtworks.paranamer:paranamer:jar:2.8:runtime
[INFO] | +- org.apache.avro:avro:jar:1.8.2:compile
[INFO] | | +- org.codehaus.jackson:jackson-core-asl:jar
{code}
My only guess right now is that this is due to the arcance scoping rules for
transitive dependencies in Maven. paranamer is a runtime dependency. Here,
Spark is given as a compile-time dependency. It should be 'provided'. That
doesn't change what Maven reports (weird still) but might solve the problem.
Spark itself really does have 2.8. You can see it in
https://search.maven.org/artifact/org.apache.spark/spark-parent_2.12/2.4.0/pom
I think this is still probably a weird issue between the code here and Maven.
> 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 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}
>
> UTF-8
> 1.8
> 2.11
> 2.4.0
> {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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[jira] [Commented] (SPARK-26146) CSV wouln't be ingested in Spark 2.4.0 with Scala 2.12
[
https://issues.apache.org/jira/browse/SPARK-26146?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16782519#comment-16782519
]
Michael Heuer commented on SPARK-26146:
---
[~srowen] Hey, wait a minute, the full example from the original submitter
appears to be in github here
[https://github.com/jgperrin/net.jgp.books.spark.ch01]
This example has no explicit dependency on paranamer, and neither does Disq for
that matter
[https://github.com/disq-bio/disq/blob/5760a80b3322c537226a876e0df4f7710188f7b2/pom.xml]
This is not the first instance I've seen (and reported) where Spark itself has
dependencies that conflict or otherwise are not compatible with each other, and
those do not manifest themselves at test scope in Spark CI, only when an
external project has a compile scope dependency on Spark jars.
> 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 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}
>
> UTF-8
> 1.8
> 2.11
> 2.4.0
> {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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[jira] [Commented] (SPARK-26146) CSV wouln't be ingested in Spark 2.4.0 with Scala 2.12
[
https://issues.apache.org/jira/browse/SPARK-26146?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16782522#comment-16782522
]
Michael Heuer commented on SPARK-26146:
---
It appears that this is a duplicate of SPARK-26583 and will be resolved in
2.4.1.
> 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 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}
>
> UTF-8
> 1.8
> 2.11
> 2.4.0
> {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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[jira] [Commented] (SPARK-26146) CSV wouln't be ingested in Spark 2.4.0 with Scala 2.12
[
https://issues.apache.org/jira/browse/SPARK-26146?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16772054#comment-16772054
]
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 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}
>
> UTF-8
> 1.8
> 2.11
> 2.4.0
> {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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[jira] [Commented] (SPARK-26146) CSV wouln't be ingested in Spark 2.4.0 with Scala 2.12
[
https://issues.apache.org/jira/browse/SPARK-26146?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16699238#comment-16699238
]
Hyukjin Kwon commented on SPARK-26146:
--
Would you mind if I ask to make a reproducer with spark-shell if possible?
should be easier to reproduce and many people could try and investigate.
> 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 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}
>
> UTF-8
> 1.8
> 2.11
> 2.4.0
> {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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[jira] [Commented] (SPARK-26146) CSV wouln't be ingested in Spark 2.4.0 with Scala 2.12
[
https://issues.apache.org/jira/browse/SPARK-26146?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16697533#comment-16697533
]
Anders Eriksson commented on SPARK-26146:
-
I also run into this bug. I too could avoid it by reverting from Scala version
2.12 to 2.11.
> 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 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}
>
> UTF-8
> 1.8
> 2.11
> 2.4.0
> {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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