Thanks Deepak! Yes, I want to try it with Docker. But my AWS account ran out of free period. Is there a shared EC2 for Spark that we can use for free?
Ping On Monday, December 9, 2019, Deepak Vohra <dvohr...@yahoo.com> wrote: > Haven't tested but the general procedure is to exclude all guava dependencies that are not needed. The hadoop-common depedency does not have a dependency on guava according to Maven Repository: org.apache.hadoop » hadoop-common > > Maven Repository: org.apache.hadoop » hadoop-common > > Apache Spark 2.4 has dependency on guava 14. > If a Docker image for Cloudera Hadoop is used Spark is may be installed on Docker for Windows. > For Docker on Windows on EC2 refer Getting Started with Docker for Windows - Developer.com > > Getting Started with Docker for Windows - Developer.com > > Docker for Windows makes it feasible to run a Docker daemon on Windows Server 2016. Learn to harness its power. > > > Conflicting versions is not an issue if Docker is used. > "Apache Spark applications usually have a complex set of required software dependencies. Spark applications may require specific versions of these dependencies (such as Pyspark and R) on the Spark executor hosts, sometimes with conflicting versions." > Running Spark in Docker Containers on YARN > > Running Spark in Docker Containers on YARN > > > > > > On Monday, December 9, 2019, 08:37:47 p.m. UTC, Ping Liu < pingpinga...@gmail.com> wrote: > > Hi Deepak, > I tried it. Unfortunately, it still doesn't work. 28.1-jre isn't downloaded for somehow. I'll try something else. Thank you very much for your help! > Ping > > On Fri, Dec 6, 2019 at 5:28 PM Deepak Vohra <dvohr...@yahoo.com> wrote: > > As multiple guava versions are found exclude guava from all the dependecies it could have been downloaded with. And explicitly add a recent guava version. > <dependency> > <groupId>org.apache.hadoop</groupId> > <artifactId>hadoop-common</artifactId> > <version>3.2.1</version> > <exclusions> > <exclusion> > <groupId>com.google.guava</groupId> > <artifactId>guava</artifactId> > </exclusion> > </exclusions> > </dependency> > <dependency> > <groupId>com.google.guava</groupId> > <artifactId>guava</artifactId> > <version>28.1-jre</version> > </dependency> > </dependencies> > </dependencyManagement> > > On Friday, December 6, 2019, 10:12:55 p.m. UTC, Ping Liu < pingpinga...@gmail.com> wrote: > > 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 >> >