we shade guava in our fat jar/assembly jar/application jar
On Tue, May 8, 2018 at 12:31 PM, Marcelo Vanzin <van...@cloudera.com> wrote:
> Using a custom Guava version with Spark is not that simple. Spark
> shades Guava, but a lot of libraries Spark uses do not - the main one
> being all of the Hadoop ones, and they need a quite old Guava.
>
> So you have two options: shade/relocate Guava in your application, or
> use spark.{driver|executor}.userClassPath first.
>
> There really isn't anything easier until we get shaded Hadoop client
> libraries...
>
> On Tue, May 8, 2018 at 8:44 AM, Stephen Boesch <java...@gmail.com> wrote:
> >
> > I downgraded to spark 2.0.1 and it fixed that particular runtime
> exception:
> > but then a similar one appears when saving to parquet:
> >
> > An SOF question on this was created a month ago and today further
> details
> > plus an open bounty were added to it:
> >
> > https://stackoverflow.com/questions/49713485/spark-
> error-with-google-guava-library-java-lang-nosuchmethoderror-com-google-c
> >
> > The new but similar exception is shown below:
> >
> > The hack to downgrade to 2.0.1 does help - i.e. execution proceeds
> further :
> > but then when writing out to parquet the above error does happen.
> >
> > 8/05/07 11:26:11 ERROR Executor: Exception in task 0.0 in stage 2741.0
> (TID
> > 2618)
> > java.lang.NoSuchMethodError:
> > com.google.common.cache.CacheBuilder.build(Lcom/google/common/cache/
> CacheLoader;)Lcom/google/common/cache/LoadingCache;
> > at
> > org.apache.hadoop.io.compress.CodecPool.createCache(CodecPool.java:62)
> > at org.apache.hadoop.io.compress.CodecPool.<clinit>(CodecPool.
> java:74)
> > at
> > org.apache.parquet.hadoop.CodecFactory$BytesCompressor.<
> init>(CodecFactory.java:92)
> > at
> > org.apache.parquet.hadoop.CodecFactory.getCompressor(
> CodecFactory.java:169)
> > at
> > org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(
> ParquetOutputFormat.java:303)
> > at
> > org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(
> ParquetOutputFormat.java:262)
> > at
> > org.apache.spark.sql.execution.datasources.parquet.
> ParquetOutputWriter.<init>(ParquetFileFormat.scala:562)
> > at
> > org.apache.spark.sql.execution.datasources.parquet.
> ParquetFileFormat$$anon$1.newInstance(ParquetFileFormat.scala:139)
> > at
> > org.apache.spark.sql.execution.datasources.BaseWriterContainer.
> newOutputWriter(WriterContainer.scala:131)
> > at
> > org.apache.spark.sql.execution.datasources.DefaultWriterContainer.
> writeRows(WriterContainer.scala:247)
> > at
> > org.apache.spark.sql.execution.datasources.
> InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$
> apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143)
> > at
> > org.apache.spark.sql.execution.datasources.
> InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$
> apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143)
> > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.
> scala:70)
> > at org.apache.spark.scheduler.Task.run(Task.scala:86)
> > at org.apache.spark.executor.Executor$TaskRunner.run(
> Executor.scala:274)
> > at
> > java.util.concurrent.ThreadPoolExecutor.runWorker(
> ThreadPoolExecutor.java:1149)
> > at
> > java.util.concurrent.ThreadPoolExecutor$Worker.run(
> ThreadPoolExecutor.java:6
> >
> >
> >
> > 2018-05-07 10:30 GMT-07:00 Stephen Boesch <java...@gmail.com>:
> >>
> >> I am intermittently running into guava dependency issues across mutiple
> >> spark projects. I have tried maven shade / relocate but it does not
> resolve
> >> the issues.
> >>
> >> The current project is extremely simple: *no* additional dependencies
> >> beyond scala, spark, and scalatest - yet the issues remain (and yes mvn
> >> clean was re-applied).
> >>
> >> Is there a reliable approach to handling the versioning for guava within
> >> spark dependency projects?
> >>
> >>
> >> [INFO]
> >> ------------------------------------------------------------
> ------------
> >> [INFO] Building ccapps_final 1.0-SNAPSHOT
> >> [INFO]
> >> ------------------------------------------------------------
> ------------
> >> [INFO]
> >> [INFO] --- exec-maven-plugin:1.6.0:java (default-cli) @ ccapps_final ---
> >> 18/05/07 10:24:00 WARN NativeCodeLoader: Unable to load native-hadoop
> >> library for your platform... using builtin-java classes where applicable
> >> [WARNING]
> >> java.lang.NoSuchMethodError:
> >> com.google.common.cache.CacheBuilder.refreshAfterWrite(JLjava/util/
> concurrent/TimeUnit;)Lcom/google/common/cache/CacheBuilder;
> >> at org.apache.hadoop.security.Groups.<init>(Groups.java:96)
> >> at org.apache.hadoop.security.Groups.<init>(Groups.java:73)
> >> at
> >> org.apache.hadoop.security.Groups.getUserToGroupsMappingService(
> Groups.java:293)
> >> at
> >> org.apache.hadoop.security.UserGroupInformation.initialize(
> UserGroupInformation.java:283)
> >> at
> >> org.apache.hadoop.security.UserGroupInformation.ensureInitialized(
> UserGroupInformation.java:260)
> >> at
> >> org.apache.hadoop.security.UserGroupInformation.loginUserFromSubject(
> UserGroupInformation.java:789)
> >> at
> >> org.apache.hadoop.security.UserGroupInformation.getLoginUser(
> UserGroupInformation.java:774)
> >> at
> >> org.apache.hadoop.security.UserGroupInformation.getCurrentUser(
> UserGroupInformation.java:647)
> >> at
> >> org.apache.spark.util.Utils$$anonfun$getCurrentUserName$1.
> apply(Utils.scala:2424)
> >> at
> >> org.apache.spark.util.Utils$$anonfun$getCurrentUserName$1.
> apply(Utils.scala:2424)
> >> at scala.Option.getOrElse(Option.scala:121)
> >> at org.apache.spark.util.Utils$.getCurrentUserName(Utils.scala:2424)
> >> at org.apache.spark.SparkContext.<init>(SparkContext.scala:295)
> >> at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2516)
> >> at
> >> org.apache.spark.sql.SparkSession$Builder$$anonfun$
> 6.apply(SparkSession.scala:918)
> >> at
> >> org.apache.spark.sql.SparkSession$Builder$$anonfun$
> 6.apply(SparkSession.scala:910)
> >> at scala.Option.getOrElse(Option.scala:121)
> >> at
> >> org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.
> scala:910)
> >> at luisvictorsteve.SlackSentiment$.getSpark(SlackSentiment.scala:10)
> >> at luisvictorsteve.SlackSentiment$.main(SlackSentiment.scala:16)
> >> at luisvictorsteve.SlackSentiment.main(SlackSentiment.scala)
> >> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> >> at
> >> sun.reflect.NativeMethodAccessorImpl.invoke(
> NativeMethodAccessorImpl.java:62)
> >> at
> >> sun.reflect.DelegatingMethodAccessorImpl.invoke(
> DelegatingMethodAccessorImpl.java:43)
> >> at java.lang.reflect.Method.invoke(Method.java:498)
> >> at org.codehaus.mojo.exec.ExecJavaMojo$1.run(ExecJavaMojo.java:282)
> >> at java.lang.Thread.run(Thread.java:748)
> >> [INFO]
> >> ------------------------------------------------------------
> ------------
> >
> >
>
>
>
> --
> Marcelo
>
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