#3 If your code is dependent on other projects you will need to package everything together in order to distribute over a Spark cluster.
In your example below I don’t see much of an advantage by building a package. > On Mar 5, 2016, at 12:32 AM, Ted Yu <[email protected]> wrote: > > Answers to first two questions are 'yes' > > Not clear on what the 3rd question is asking. > > On Fri, Mar 4, 2016 at 4:28 PM, Mich Talebzadeh <[email protected] > <mailto:[email protected]>> wrote: > Thanks now all working. Also select from tmp tables are part of sqlContext > not HiveContext > > This is the final code that works in blue > > > Couple of questions if I may > > This works pretty effortless in spark-shell. Is this because $CLASSPATH > already includes all the needed jars? > The import section. That imports the needed classes. So basically import > org.apache.spark.sql.functions._ imports all the methods of Class functions? > What is the reason why we should use sbt to build custom jars from a spark > code as opposed to running the code against spark shell in a file? Any > particular use case for it? > > import org.apache.spark.SparkContext > import org.apache.spark.SparkConf > import org.apache.spark.sql.Row > import org.apache.spark.sql.hive.HiveContext > import org.apache.spark.sql.types._ > import org.apache.spark.sql.SQLContext > import org.apache.spark.sql.functions._ > // > object Sequence { > def main(args: Array[String]) { > val conf = new > SparkConf().setAppName("Sequence").setMaster("local[*]").set("spark.driver.allowMultipleContexts", > "true") > val sc = new SparkContext(conf) > // Note that this should be done only after an instance of > org.apache.spark.sql.SQLContext is created. It should be written as: > val sqlContext= new org.apache.spark.sql.SQLContext(sc) > import sqlContext.implicits._ > val HiveContext = new org.apache.spark.sql.hive.HiveContext(sc) > val a = Seq(("Mich",20), ("Christian", 18), ("James",13), ("Richard",16)) > // Sort option 1 using tempTable > val b = a.toDF("Name","score").registerTempTable("tmp") > sqlContext.sql("select Name,score from tmp order by score desc").show > // Sort option 2 with FP > a.toDF("Name","score").sort(desc("score")).show > } > } > > Dr Mich Talebzadeh > > LinkedIn > https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw > > <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw> > > http://talebzadehmich.wordpress.com <http://talebzadehmich.wordpress.com/> > > > On 4 March 2016 at 23:58, Chandeep Singh <[email protected] > <mailto:[email protected]>> wrote: > That is because an instance of org.apache.spark.sql.SQLContext doesn’t exist > in the current context and is required before you can use any of its implicit > methods. > > As Ted mentioned importing org.apache.spark.sql.functions._ will take care of > the below error. > > >> On Mar 4, 2016, at 11:35 PM, Mich Talebzadeh <[email protected] >> <mailto:[email protected]>> wrote: >> >> thanks. It is like war of attrition. I always thought that you add import >> before the class itself not within the class? w3hat is the reason for it >> please? >> >> this is my code >> >> import org.apache.spark.SparkContext >> import org.apache.spark.SparkConf >> import org.apache.spark.sql.Row >> import org.apache.spark.sql.hive.HiveContext >> import org.apache.spark.sql.types._ >> import org.apache.spark.sql.SQLContext >> // >> object Sequence { >> def main(args: Array[String]) { >> val conf = new >> SparkConf().setAppName("Sequence").setMaster("local[*]").set("spark.driver.allowMultipleContexts", >> "true") >> val sc = new SparkContext(conf) >> // Note that this should be done only after an instance of >> org.apache.spark.sql.SQLContext is created. It should be written as: >> val sqlContext= new org.apache.spark.sql.SQLContext(sc) >> import sqlContext.implicits._ >> val HiveContext = new org.apache.spark.sql.hive.HiveContext(sc) >> val a = Seq(("Mich",20), ("Christian", 18), ("James",13), ("Richard",16)) >> // Sort option 1 using tempTable >> val b = a.toDF("Name","score").registerTempTable("tmp") >> HiveContext.sql("select Name,score from tmp order by score desc").show >> // Sort option 2 with FP >> a.toDF("Name","score").sort(desc("score")).show >> } >> } >> >> And now the last failure is in >> >> info] [SUCCESSFUL ] org.scala-lang#jline;2.10.5!jline.jar (104ms) >> [info] Done updating. >> [info] Compiling 1 Scala source to >> /home/hduser/dba/bin/scala/Sequence/target/scala-2.10/classes... >> [info] 'compiler-interface' not yet compiled for Scala 2.10.5. Compiling... >> [info] Compilation completed in 15.779 s >> [error] >> /home/hduser/dba/bin/scala/Sequence/src/main/scala/Sequence.scala:21: not >> found: value desc >> [error] a.toDF("Name","score").sort(desc("score")).show >> [error] ^ >> [error] one error found >> [error] (compile:compileIncremental) Compilation failed >> >> >> Dr Mich Talebzadeh >> >> LinkedIn >> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw >> >> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw> >> >> http://talebzadehmich.wordpress.com <http://talebzadehmich.wordpress.com/> >> >> >> On 4 March 2016 at 23:25, Chandeep Singh <[email protected] >> <mailto:[email protected]>> wrote: >> This is what you need: >> >> val sc = new SparkContext(sparkConf) >> val sqlContext = new org.apache.spark.sql.SQLContext(sc) >> import sqlContext.implicits._ >> >>> On Mar 4, 2016, at 11:03 PM, Mich Talebzadeh <[email protected] >>> <mailto:[email protected]>> wrote: >>> >>> Hi Ted, >>> >>> This is my code >>> >>> import org.apache.spark.SparkConf >>> import org.apache.spark.sql.Row >>> import org.apache.spark.sql.hive.HiveContext >>> import org.apache.spark.sql.types._ >>> import org.apache.spark.sql.SQLContext >>> // >>> object Sequence { >>> def main(args: Array[String]) { >>> val conf = new >>> SparkConf().setAppName("Sequence").setMaster("local[*]").set("spark.driver.allowMultipleContexts", >>> "true") >>> val sc = new SparkContext(conf) >>> val sqlContext = new org.apache.spark.sql.SQLContext(sc) >>> val HiveContext = new org.apache.spark.sql.hive.HiveContext(sc) >>> val a = Seq(("Mich",20), ("Christian", 18), ("James",13), ("Richard",16)) >>> // Sort option 1 using tempTable >>> val b = a.toDF("Name","score").registerTempTable("tmp") >>> sql("select Name,score from tmp order by score desc").show >>> // Sort option 2 with FP >>> a.toDF("Name","score").sort(desc("score")).show >>> } >>> } >>> >>> And the error I am getting now is >>> >>> [info] downloading >>> https://repo1.maven.org/maven2/org/scala-lang/jline/2.10.5/jline-2.10.5.jar >>> <https://repo1.maven.org/maven2/org/scala-lang/jline/2.10.5/jline-2.10.5.jar> >>> ... >>> [info] [SUCCESSFUL ] org.scala-lang#jline;2.10.5!jline.jar (103ms) >>> [info] Done updating. >>> [info] Compiling 1 Scala source to >>> /home/hduser/dba/bin/scala/Sequence/target/scala-2.10/classes... >>> [info] 'compiler-interface' not yet compiled for Scala 2.10.5. Compiling... >>> [info] Compilation completed in 12.462 s >>> [error] >>> /home/hduser/dba/bin/scala/Sequence/src/main/scala/Sequence.scala:16: value >>> toDF is not a member of Seq[(String, Int)] >>> [error] val b = a.toDF("Name","score").registerTempTable("tmp") >>> [error] ^ >>> [error] >>> /home/hduser/dba/bin/scala/Sequence/src/main/scala/Sequence.scala:17: not >>> found: value sql >>> [error] sql("select Name,score from tmp order by score desc").show >>> [error] ^ >>> [error] >>> /home/hduser/dba/bin/scala/Sequence/src/main/scala/Sequence.scala:19: value >>> toDF is not a member of Seq[(String, Int)] >>> [error] a.toDF("Name","score").sort(desc("score")).show >>> [error] ^ >>> [error] three errors found >>> [error] (compile:compileIncremental) Compilation failed >>> [error] Total time: 88 s, completed Mar 4, 2016 11:12:46 PM >>> >>> >>> Dr Mich Talebzadeh >>> >>> LinkedIn >>> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw >>> >>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw> >>> >>> http://talebzadehmich.wordpress.com <http://talebzadehmich.wordpress.com/> >>> >>> >>> On 4 March 2016 at 22:52, Ted Yu <[email protected] >>> <mailto:[email protected]>> wrote: >>> Can you show your code snippet ? >>> Here is an example: >>> >>> val sqlContext = new SQLContext(sc) >>> import sqlContext.implicits._ >>> >>> On Fri, Mar 4, 2016 at 1:55 PM, Mich Talebzadeh <[email protected] >>> <mailto:[email protected]>> wrote: >>> Hi Ted, >>> >>> I am getting the following error after adding that import >>> >>> [error] >>> /home/hduser/dba/bin/scala/Sequence/src/main/scala/Sequence.scala:5: not >>> found: object sqlContext >>> [error] import sqlContext.implicits._ >>> [error] ^ >>> [error] >>> /home/hduser/dba/bin/scala/Sequence/src/main/scala/Sequence.scala:15: value >>> toDF is not a member of Seq[(String, Int)] >>> >>> >>> Dr Mich Talebzadeh >>> >>> LinkedIn >>> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw >>> >>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw> >>> >>> http://talebzadehmich.wordpress.com <http://talebzadehmich.wordpress.com/> >>> >>> >>> On 4 March 2016 at 21:39, Ted Yu <[email protected] >>> <mailto:[email protected]>> wrote: >>> Can you add the following into your code ? >>> import sqlContext.implicits._ >>> >>> On Fri, Mar 4, 2016 at 1:14 PM, Mich Talebzadeh <[email protected] >>> <mailto:[email protected]>> wrote: >>> Hi, >>> >>> I have a simple Scala program as below >>> >>> import org.apache.spark.SparkContext >>> import org.apache.spark.SparkContext._ >>> import org.apache.spark.SparkConf >>> import org.apache.spark.sql.SQLContext >>> object Sequence { >>> def main(args: Array[String]) { >>> val conf = new SparkConf().setAppName("Sequence") >>> val sc = new SparkContext(conf) >>> val sqlContext = new org.apache.spark.sql.SQLContext(sc) >>> val HiveContext = new org.apache.spark.sql.hive.HiveContext(sc) >>> val a = Seq(("Mich",20), ("Christian", 18), ("James",13), ("Richard",16)) >>> // Sort option 1 using tempTable >>> val b = a.toDF("Name","score").registerTempTable("tmp") >>> sql("select Name,score from tmp order by score desc").show >>> // Sort option 2 with FP >>> a.toDF("Name","score").sort(desc("score")).show >>> } >>> } >>> >>> I build this using sbt tool as below >>> >>> cat sequence.sbt >>> name := "Sequence" >>> version := "1.0" >>> scalaVersion := "2.10.5" >>> libraryDependencies += "org.apache.spark" %% "spark-core" % "1.5.0" >>> libraryDependencies += "org.apache.spark" %% "spark-sql" % "1.0.0" >>> libraryDependencies += "org.apache.spark" %% "spark-hive" % "1.5.0" >>> >>> >>> But it fails compilation as below >>> >>> [info] Compilation completed in 12.366 s >>> [error] >>> /home/hduser/dba/bin/scala/Sequence/src/main/scala/Sequence.scala:15: value >>> toDF is not a member of Seq[(String, Int)] >>> [error] val b = a.toDF("Name","score").registerTempTable("tmp") >>> [error] ^ >>> [error] >>> /home/hduser/dba/bin/scala/Sequence/src/main/scala/Sequence.scala:16: not >>> found: value sql >>> [error] sql("select Name,score from tmp order by score desc").show >>> [error] ^ >>> [error] >>> /home/hduser/dba/bin/scala/Sequence/src/main/scala/Sequence.scala:18: value >>> toDF is not a member of Seq[(String, Int)] >>> [error] a.toDF("Name","score").sort(desc("score")).show >>> [error] ^ >>> [error] three errors found >>> [error] (compile:compileIncremental) Compilation failed >>> [error] Total time: 95 s, completed Mar 4, 2016 9:06:40 PM >>> >>> I think I am missing some dependencies here >>> >>> >>> I have a simple >>> Dr Mich Talebzadeh >>> >>> LinkedIn >>> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw >>> >>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw> >>> >>> http://talebzadehmich.wordpress.com <http://talebzadehmich.wordpress.com/> >>> >>> >>> >>> >>> >> >> > > >
