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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-6136) Docker client library introduces Guava 17.0, which causes runtime binary incompatibilities
Date Tue, 11 Aug 2015 10:04:46 GMT

    [ https://issues.apache.org/jira/browse/SPARK-6136?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14681561#comment-14681561
] 

Apache Spark commented on SPARK-6136:
-------------------------------------

User 'yjshen' has created a pull request for this issue:
https://github.com/apache/spark/pull/8101

> Docker client library introduces Guava 17.0, which causes runtime binary incompatibilities
> ------------------------------------------------------------------------------------------
>
>                 Key: SPARK-6136
>                 URL: https://issues.apache.org/jira/browse/SPARK-6136
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.3.0
>            Reporter: Cheng Lian
>            Assignee: Cheng Lian
>             Fix For: 1.3.0
>
>
> Integration test suites in the JDBC data source ({{MySQLIntegration}} and {{PostgresIntegration}})
depend on docker-client 2.7.5, which transitively depends on Guava 17.0. Unfortunately, Guava
17.0 is causing runtime binary incompatibility issues when Spark is compiled against Hadoop
2.4.
> {code}
> $ ./build/sbt -Pyarn,hadoop-2.4,hive,hive-0.12.0,scala-2.10 -Dhadoop.version=2.4.1
> ...
> > sql/test-only *.ParquetDataSourceOffIOSuite
> ...
> [info] ParquetDataSourceOffIOSuite:
> [info] Exception encountered when attempting to run a suite with class name: org.apache.spark.sql.parquet.ParquetDataSourceOffIOSuite
*** ABORTED *** (134 milliseconds)
> [info]   java.lang.IllegalAccessError: tried to access method com.google.common.base.Stopwatch.<init>()V
from class org.apache.hadoop.mapreduce.lib.input.FileInputFormat
> [info]   at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.listStatus(FileInputFormat.java:261)
> [info]   at parquet.hadoop.ParquetInputFormat.listStatus(ParquetInputFormat.java:277)
> [info]   at org.apache.spark.sql.parquet.FilteringParquetRowInputFormat.getSplits(ParquetTableOperations.scala:437)
> [info]   at org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:95)
> [info]   at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
> [info]   at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
> [info]   at scala.Option.getOrElse(Option.scala:120)
> [info]   at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
> [info]   at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
> [info]   at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
> [info]   at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
> [info]   at scala.Option.getOrElse(Option.scala:120)
> [info]   at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
> [info]   at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
> [info]   at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
> [info]   at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
> [info]   at scala.Option.getOrElse(Option.scala:120)
> [info]   at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
> [info]   at org.apache.spark.SparkContext.runJob(SparkContext.scala:1525)
> [info]   at org.apache.spark.rdd.RDD.collect(RDD.scala:813)
> [info]   at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:83)
> [info]   at org.apache.spark.sql.DataFrame.collect(DataFrame.scala:797)
> [info]   at org.apache.spark.sql.QueryTest$.checkAnswer(QueryTest.scala:115)
> [info]   at org.apache.spark.sql.QueryTest.checkAnswer(QueryTest.scala:60)
> [info]   at org.apache.spark.sql.parquet.ParquetIOSuiteBase$$anonfun$checkParquetFile$1.apply(ParquetIOSuite.scala:76)
> [info]   at org.apache.spark.sql.parquet.ParquetIOSuiteBase$$anonfun$checkParquetFile$1.apply(ParquetIOSuite.scala:76)
> [info]   at org.apache.spark.sql.parquet.ParquetTest$$anonfun$withParquetDataFrame$1.apply(ParquetTest.scala:105)
> [info]   at org.apache.spark.sql.parquet.ParquetTest$$anonfun$withParquetDataFrame$1.apply(ParquetTest.scala:105)
> [info]   at org.apache.spark.sql.parquet.ParquetTest$$anonfun$withParquetFile$1.apply(ParquetTest.scala:94)
> [info]   at org.apache.spark.sql.parquet.ParquetTest$$anonfun$withParquetFile$1.apply(ParquetTest.scala:92)
> [info]   at org.apache.spark.sql.parquet.ParquetTest$class.withTempPath(ParquetTest.scala:71)
> [info]   at org.apache.spark.sql.parquet.ParquetIOSuiteBase.withTempPath(ParquetIOSuite.scala:67)
> [info]   at org.apache.spark.sql.parquet.ParquetTest$class.withParquetFile(ParquetTest.scala:92)
> [info]   at org.apache.spark.sql.parquet.ParquetIOSuiteBase.withParquetFile(ParquetIOSuite.scala:67)
> [info]   at org.apache.spark.sql.parquet.ParquetTest$class.withParquetDataFrame(ParquetTest.scala:105)
> [info]   at org.apache.spark.sql.parquet.ParquetIOSuiteBase.withParquetDataFrame(ParquetIOSuite.scala:67)
> [info]   at org.apache.spark.sql.parquet.ParquetIOSuiteBase.checkParquetFile(ParquetIOSuite.scala:76)
> [info]   at org.apache.spark.sql.parquet.ParquetIOSuiteBase$$anonfun$1.apply$mcV$sp(ParquetIOSuite.scala:83)
> [info]   at org.apache.spark.sql.parquet.ParquetIOSuiteBase$$anonfun$1.apply(ParquetIOSuite.scala:79)
> [info]   at org.apache.spark.sql.parquet.ParquetIOSuiteBase$$anonfun$1.apply(ParquetIOSuite.scala:79)
> [info]   at org.scalatest.Transformer$$anonfun$apply$1.apply$mcV$sp(Transformer.scala:22)
> [info]   at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85)
> [info]   at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
> [info]   at org.scalatest.Transformer.apply(Transformer.scala:22)
> [info]   at org.scalatest.Transformer.apply(Transformer.scala:20)
> [info]   at org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:166)
> [info]   at org.scalatest.Suite$class.withFixture(Suite.scala:1122)
> [info]   at org.scalatest.FunSuite.withFixture(FunSuite.scala:1555)
> [info]   at org.scalatest.FunSuiteLike$class.invokeWithFixture$1(FunSuiteLike.scala:163)
> [info]   at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:175)
> [info]   at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:175)
> [info]   at org.scalatest.SuperEngine.runTestImpl(Engine.scala:306)
> [info]   at org.scalatest.FunSuiteLike$class.runTest(FunSuiteLike.scala:175)
> [info]   at org.scalatest.FunSuite.runTest(FunSuite.scala:1555)
> [info]   at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:208)
> [info]   at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:208)
> [info]   at org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:413)
> [info]   at org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:401)
> [info]   at scala.collection.immutable.List.foreach(List.scala:318)
> [info]   at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:401)
> [info]   at org.scalatest.SuperEngine.org$scalatest$SuperEngine$$runTestsInBranch(Engine.scala:396)
> [info]   at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:483)
> [info]   at org.scalatest.FunSuiteLike$class.runTests(FunSuiteLike.scala:208)
> [info]   at org.scalatest.FunSuite.runTests(FunSuite.scala:1555)
> [info]   at org.scalatest.Suite$class.run(Suite.scala:1424)
> [info]   at org.scalatest.FunSuite.org$scalatest$FunSuiteLike$$super$run(FunSuite.scala:1555)
> [info]   at org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:212)
> [info]   at org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:212)
> [info]   at org.scalatest.SuperEngine.runImpl(Engine.scala:545)
> [info]   at org.scalatest.FunSuiteLike$class.run(FunSuiteLike.scala:212)
> [info]   at org.apache.spark.sql.parquet.ParquetDataSourceOffIOSuite.org$scalatest$BeforeAndAfterAll$$super$run(ParquetIOSuite.scala:346)
> [info]   at org.scalatest.BeforeAndAfterAll$class.liftedTree1$1(BeforeAndAfterAll.scala:257)
> [info]   at org.scalatest.BeforeAndAfterAll$class.run(BeforeAndAfterAll.scala:256)
> [info]   at org.apache.spark.sql.parquet.ParquetDataSourceOffIOSuite.run(ParquetIOSuite.scala:346)
> [info]   at org.scalatest.tools.Framework.org$scalatest$tools$Framework$$runSuite(Framework.scala:462)
> [info]   at org.scalatest.tools.Framework$ScalaTestTask.execute(Framework.scala:671)
> [info]   at sbt.ForkMain$Run$2.call(ForkMain.java:294)
> [info]   at sbt.ForkMain$Run$2.call(ForkMain.java:284)
> [info]   at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> [info]   at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> [info]   at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> [info]   at java.lang.Thread.run(Thread.java:745)
> {code}
> This is because the default constructor of {{Stopwatch}} is no longer public in Guava
17.0.
> Compiling Spark against Hive 0.12.0 also introduces other types of runtime binary incompatibility
issue.
> Considering {{MySQLIntegration}} and {{PostgresIntegration}} are ignored right now, I'd
suggest moving them from the Spark project to the [Spark integration tests||https://github.com/databricks/spark-integration-tests]
project.



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