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
---------------------------------------------------------------------
To unsubscribe e-mail: user-unsubscr...@spark.apache.org
