Hi Deepak, Following your suggestion, I put exclusion of guava in topmost POM (under Spark home directly) as follows.
2227- </dependency> 2228- <dependency> 2229- <groupId>org.apache.hadoop</groupId> 2230: <artifactId>hadoop-common</artifactId> 2231- <version>3.2.1</version> 2232- <exclusions> 2233- <exclusion> 2234- <groupId>com.google.guava</groupId> 2235- <artifactId>guava</artifactId> 2236- </exclusion> 2237- </exclusions> 2238- </dependency> 2239- </dependencies> 2240- </dependencyManagement> I also set properties for spark.executor.userClassPathFirst=true and spark.driver.userClassPathFirst=true D:\apache\spark>mvn -Pyarn -Phadoop-3.2 -Dhadoop-version=3.2.1 -Dspark.executor.userClassPathFirst=true -Dspark.driver.userClassPathFirst=true -DskipTests clean package and rebuilt spark. But I got the same error when running spark-shell. [INFO] Reactor Summary for Spark Project Parent POM 3.0.0-SNAPSHOT: [INFO] [INFO] Spark Project Parent POM ........................... SUCCESS [ 25.092 s] [INFO] Spark Project Tags ................................. SUCCESS [ 22.093 s] [INFO] Spark Project Sketch ............................... SUCCESS [ 19.546 s] [INFO] Spark Project Local DB ............................. SUCCESS [ 10.468 s] [INFO] Spark Project Networking ........................... SUCCESS [ 17.733 s] [INFO] Spark Project Shuffle Streaming Service ............ SUCCESS [ 6.531 s] [INFO] Spark Project Unsafe ............................... SUCCESS [ 25.327 s] [INFO] Spark Project Launcher ............................. SUCCESS [ 27.264 s] [INFO] Spark Project Core ................................. SUCCESS [07:59 min] [INFO] Spark Project ML Local Library ..................... SUCCESS [01:39 min] [INFO] Spark Project GraphX ............................... SUCCESS [02:08 min] [INFO] Spark Project Streaming ............................ SUCCESS [02:56 min] [INFO] Spark Project Catalyst ............................. SUCCESS [08:55 min] [INFO] Spark Project SQL .................................. SUCCESS [12:33 min] [INFO] Spark Project ML Library ........................... SUCCESS [08:49 min] [INFO] Spark Project Tools ................................ SUCCESS [ 16.967 s] [INFO] Spark Project Hive ................................. SUCCESS [06:15 min] [INFO] Spark Project Graph API ............................ SUCCESS [ 10.219 s] [INFO] Spark Project Cypher ............................... SUCCESS [ 11.952 s] [INFO] Spark Project Graph ................................ SUCCESS [ 11.171 s] [INFO] Spark Project REPL ................................. SUCCESS [ 55.029 s] [INFO] Spark Project YARN Shuffle Service ................. SUCCESS [01:07 min] [INFO] Spark Project YARN ................................. SUCCESS [02:22 min] [INFO] Spark Project Assembly ............................. SUCCESS [ 21.483 s] [INFO] Kafka 0.10+ Token Provider for Streaming ........... SUCCESS [ 56.450 s] [INFO] Spark Integration for Kafka 0.10 ................... SUCCESS [01:21 min] [INFO] Kafka 0.10+ Source for Structured Streaming ........ SUCCESS [02:33 min] [INFO] Spark Project Examples ............................. SUCCESS [02:05 min] [INFO] Spark Integration for Kafka 0.10 Assembly .......... SUCCESS [ 30.780 s] [INFO] Spark Avro ......................................... SUCCESS [01:43 min] [INFO] ------------------------------------------------------------------------ [INFO] BUILD SUCCESS [INFO] ------------------------------------------------------------------------ [INFO] Total time: 01:08 h [INFO] Finished at: 2019-12-06T11:43:08-08:00 [INFO] ------------------------------------------------------------------------ D:\apache\spark>spark-shell 'spark-shell' is not recognized as an internal or external command, operable program or batch file. D:\apache\spark>cd bin D:\apache\spark\bin>spark-shell Exception in thread "main" java.lang.NoSuchMethodError: com.google.common.base.Preconditions.checkArgument(ZLjava/lang/String;Ljava/lang/Object;)V at org.apache.hadoop.conf.Configuration.set(Configuration.java:1357) at org.apache.hadoop.conf.Configuration.set(Configuration.java:1338) at org.apache.spark.deploy.SparkHadoopUtil$.org$apache$spark$deploy$SparkHadoopUtil$$appendS3AndSparkHadoopHiveConfigurations(SparkHadoopUtil.scala:456) at org.apache.spark.deploy.SparkHadoopUtil$.newConfiguration(SparkHadoopUtil.scala:427) at org.apache.spark.deploy.SparkSubmit.$anonfun$prepareSubmitEnvironment$2(SparkSubmit.scala:342) at org.apache.spark.deploy.SparkSubmit$$Lambda$132/1985836631.apply(Unknown Source) at scala.Option.getOrElse(Option.scala:189) at org.apache.spark.deploy.SparkSubmit.prepareSubmitEnvironment(SparkSubmit.scala:342) at org.apache.spark.deploy.SparkSubmit.org $apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:871) at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180) at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203) at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90) at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1007) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1016) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) Before building spark, I went to my local Maven repo and removed guava at all. But after building, I found the same versions of guava have been downloaded. D:\mavenrepo\com\google\guava\guava>ls 14.0.1 16.0.1 18.0 19.0 On Thu, Dec 5, 2019 at 5:12 PM Deepak Vohra <dvohr...@yahoo.com> wrote: > Just to clarify, excluding Hadoop provided guava in pom.xml is an > alternative to using an Uber jar, which is a more involved process. > > On Thursday, December 5, 2019, 10:37:39 p.m. UTC, Ping Liu < > pingpinga...@gmail.com> wrote: > > > Hi Sean, > > Thanks for your response! > > Sorry, I didn't mention that "build/mvn ..." doesn't work. So I did go to > Spark home directory and ran mvn from there. Following is my build and > running result. The source code was just updated yesterday. I guess the > POM should specify newer Guava library somehow. > > Thanks Sean. > > Ping > > [INFO] Reactor Summary for Spark Project Parent POM 3.0.0-SNAPSHOT: > [INFO] > [INFO] Spark Project Parent POM ........................... SUCCESS [ > 14.794 s] > [INFO] Spark Project Tags ................................. SUCCESS [ > 18.233 s] > [INFO] Spark Project Sketch ............................... SUCCESS [ > 20.077 s] > [INFO] Spark Project Local DB ............................. SUCCESS [ > 7.846 s] > [INFO] Spark Project Networking ........................... SUCCESS [ > 14.906 s] > [INFO] Spark Project Shuffle Streaming Service ............ SUCCESS [ > 6.267 s] > [INFO] Spark Project Unsafe ............................... SUCCESS [ > 31.710 s] > [INFO] Spark Project Launcher ............................. SUCCESS [ > 10.227 s] > [INFO] Spark Project Core ................................. SUCCESS [08:03 > min] > [INFO] Spark Project ML Local Library ..................... SUCCESS [01:51 > min] > [INFO] Spark Project GraphX ............................... SUCCESS [02:20 > min] > [INFO] Spark Project Streaming ............................ SUCCESS [03:16 > min] > [INFO] Spark Project Catalyst ............................. SUCCESS [08:45 > min] > [INFO] Spark Project SQL .................................. SUCCESS [12:12 > min] > [INFO] Spark Project ML Library ........................... SUCCESS [ > 16:28 h] > [INFO] Spark Project Tools ................................ SUCCESS [ > 23.602 s] > [INFO] Spark Project Hive ................................. SUCCESS [07:50 > min] > [INFO] Spark Project Graph API ............................ SUCCESS [ > 8.734 s] > [INFO] Spark Project Cypher ............................... SUCCESS [ > 12.420 s] > [INFO] Spark Project Graph ................................ SUCCESS [ > 10.186 s] > [INFO] Spark Project REPL ................................. SUCCESS [01:03 > min] > [INFO] Spark Project YARN Shuffle Service ................. SUCCESS [01:19 > min] > [INFO] Spark Project YARN ................................. SUCCESS [02:19 > min] > [INFO] Spark Project Assembly ............................. SUCCESS [ > 18.912 s] > [INFO] Kafka 0.10+ Token Provider for Streaming ........... SUCCESS [ > 57.925 s] > [INFO] Spark Integration for Kafka 0.10 ................... SUCCESS [01:20 > min] > [INFO] Kafka 0.10+ Source for Structured Streaming ........ SUCCESS [02:26 > min] > [INFO] Spark Project Examples ............................. SUCCESS [02:00 > min] > [INFO] Spark Integration for Kafka 0.10 Assembly .......... SUCCESS [ > 28.354 s] > [INFO] Spark Avro ......................................... SUCCESS [01:44 > min] > [INFO] > ------------------------------------------------------------------------ > [INFO] BUILD SUCCESS > [INFO] > ------------------------------------------------------------------------ > [INFO] Total time: 17:30 h > [INFO] Finished at: 2019-12-05T12:20:01-08:00 > [INFO] > ------------------------------------------------------------------------ > > D:\apache\spark>cd bin > > D:\apache\spark\bin>ls > beeline load-spark-env.cmd run-example spark-shell > spark-sql2.cmd sparkR.cmd > beeline.cmd load-spark-env.sh run-example.cmd > spark-shell.cmd spark-submit sparkR2.cmd > docker-image-tool.sh pyspark spark-class > spark-shell2.cmd spark-submit.cmd > find-spark-home pyspark.cmd spark-class.cmd spark-sql > spark-submit2.cmd > find-spark-home.cmd pyspark2.cmd spark-class2.cmd spark-sql.cmd > sparkR > > D:\apache\spark\bin>spark-shell > Exception in thread "main" java.lang.NoSuchMethodError: > com.google.common.base.Preconditions.checkArgument(ZLjava/lang/String;Ljava/lang/Object;)V > at > org.apache.hadoop.conf.Configuration.set(Configuration.java:1357) > at > org.apache.hadoop.conf.Configuration.set(Configuration.java:1338) > at > org.apache.spark.deploy.SparkHadoopUtil$.org$apache$spark$deploy$SparkHadoopUtil$$appendS3AndSparkHadoopHiveConfigurations(SparkHadoopUtil.scala:456) > at > org.apache.spark.deploy.SparkHadoopUtil$.newConfiguration(SparkHadoopUtil.scala:427) > at > org.apache.spark.deploy.SparkSubmit.$anonfun$prepareSubmitEnvironment$2(SparkSubmit.scala:342) > at > org.apache.spark.deploy.SparkSubmit$$Lambda$132/817978763.apply(Unknown > Source) > at scala.Option.getOrElse(Option.scala:189) > at > org.apache.spark.deploy.SparkSubmit.prepareSubmitEnvironment(SparkSubmit.scala:342) > at org.apache.spark.deploy.SparkSubmit.org > $apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:871) > at > org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180) > at > org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203) > at > org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90) > at > org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1007) > at > org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1016) > at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) > > D:\apache\spark\bin> > > On Thu, Dec 5, 2019 at 1:33 PM Sean Owen <sro...@gmail.com> wrote: > > What was the build error? you didn't say. Are you sure it succeeded? > Try running from the Spark home dir, not bin. > I know we do run Windows tests and it appears to pass tests, etc. > > On Thu, Dec 5, 2019 at 3:28 PM Ping Liu <pingpinga...@gmail.com> wrote: > > > > Hello, > > > > I understand Spark is preferably built on Linux. But I have a Windows > machine with a slow Virtual Box for Linux. So I wish I am able to build > and run Spark code on Windows environment. > > > > Unfortunately, > > > > # Apache Hadoop 2.6.X > > ./build/mvn -Pyarn -DskipTests clean package > > > > # Apache Hadoop 2.7.X and later > > ./build/mvn -Pyarn -Phadoop-2.7 -Dhadoop.version=2.7.3 -DskipTests clean > package > > > > > > Both are listed on > http://spark.apache.org/docs/latest/building-spark.html#specifying-the-hadoop-version-and-enabling-yarn > > > > But neither works for me (I stay directly under spark root directory and > run "mvn -Pyarn -Phadoop-2.7 -Dhadoop.version=2.7.3 -DskipTests clean > package" > > > > and > > > > Then I tried "mvn -Pyarn -Phadoop-3.2 -Dhadoop.version=3.2.1 -DskipTests > clean package" > > > > Now build works. But when I run spark-shell. I got the following error. > > > > D:\apache\spark\bin>spark-shell > > Exception in thread "main" java.lang.NoSuchMethodError: > com.google.common.base.Preconditions.checkArgument(ZLjava/lang/String;Ljava/lang/Object;)V > > at > org.apache.hadoop.conf.Configuration.set(Configuration.java:1357) > > at > org.apache.hadoop.conf.Configuration.set(Configuration.java:1338) > > at > org.apache.spark.deploy.SparkHadoopUtil$.org$apache$spark$deploy$SparkHadoopUtil$$appendS3AndSparkHadoopHiveConfigurations(SparkHadoopUtil.scala:456) > > at > org.apache.spark.deploy.SparkHadoopUtil$.newConfiguration(SparkHadoopUtil.scala:427) > > at > org.apache.spark.deploy.SparkSubmit.$anonfun$prepareSubmitEnvironment$2(SparkSubmit.scala:342) > > at > org.apache.spark.deploy.SparkSubmit$$Lambda$132/817978763.apply(Unknown > Source) > > at scala.Option.getOrElse(Option.scala:189) > > at > org.apache.spark.deploy.SparkSubmit.prepareSubmitEnvironment(SparkSubmit.scala:342) > > at org.apache.spark.deploy.SparkSubmit.org > $apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:871) > > at > org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180) > > at > org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203) > > at > org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90) > > at > org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1007) > > at > org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1016) > > at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) > > > > > > Has anyone experienced building and running Spark source code > successfully on Windows? Could you please share your experience? > > > > Thanks a lot! > > > > Ping > > > >