When i use the following import statement in my Scala program, I am getting an error.error screen
Did i made any mistake with adding the libraryDependencies. For graphx.lib , is there any specific libraryDependencies to add.
import org.apache.spark.graphx.lib.ShortestPaths
Always add inline your config files - it is tricky to find the link to your image
You mix spark library versions - always use one version of library
Try:
val sparkVersion = "2.2.0"
libraryDependencies in ThisBuild ++= Seq(
"org.apache.spark" %% "spark-graphx" % sparkVersion,
"org.apache.spark" %% "spark-sql" % sparkVersion
)
Related
I was trying to download spark-core and spark-sql in the build.sbt file:
name := "spark Test App"
version := "0.1"
organization := "sura.organization"
scalaVersion := "2.11.8"
val sparkVersion := "2.3.1"
libraryDependencies ++= Seq(
"org.apache.spark" %% "spark-core" % sparkVersion,
"org.apache.spark" %% "spark-sql" % sparkVersion)
When I was running sbt package, I was getting an error as
/build.sbt]:7: '=' expected.
I was not able to find the error, please help me.
The problem is in this line
val sparkVersion := "2.3.1"
It should be
val sparkVersion = "2.3.1"
Also, you should mark these depenedencies as Provided, because you only need them for compile and local execution (e.g. tests). But in production you will deploy your jar to an Spark cluster, which (obviously) already includes them.
libraryDependencies ++= Seq(
"org.apache.spark" %% "spark-core" % sparkVersion % Provided,
"org.apache.spark" %% "spark-sql" % sparkVersion % Provided
)
PS: Make sure you use the same Spark and Scala versions as your deploy cluster.
BTW, If you need to include other dependencies (e.g. the Mongo Spark connector) you should take a look at sbt-assembly, but be aware that you will need to exclude the Scala standard library from the assembly jar.
I am not able to import spark mllib libraries in Intellij for Spark scala project. I am getting a resolution exception.
Below is my sbt.build
name := "ML_Spark"
version := "0.1"
scalaVersion := "2.11.12"
libraryDependencies += "org.apache.spark" %% "spark-core" % "2.2.1"
libraryDependencies += "org.apache.spark" %% "spark-sql" % "2.2.1"
libraryDependencies += "org.apache.spark" %% "spark-mllib" % "2.2.1" % "runtime"
I tried to copy/paste the same build.sbt file you provided and i got the following error :
[error] [/Users/pc/testsbt/build.sbt]:3: ';' expected but string literal found.
Actually, the build.sbt is invalid :
intellij error
Having the version and the Scala version in different lines solved the problem for me :
name := "ML_Spark"
version := "0.1"
scalaVersion := "2.11.12"
libraryDependencies += "org.apache.spark" %% "spark-core" % "2.2.1"
libraryDependencies += "org.apache.spark" %% "spark-sql" % "2.2.1"
libraryDependencies += "org.apache.spark" %% "spark-mllib" % "2.2.1" % "runtime"
I am not sure that this is the problem you're facing (can you please share the exception you had ?), it might be a problem with the repositories you specified under the .sbt folder in your home directory.
I have met the same problem before. To solve it, I just used the compiled version of mllib instead of the runtime one. Here is my conf:
name := "SparkDemo"
version := "0.1"
scalaVersion := "2.11.12"
// https://mvnrepository.com/artifact/org.apache.spark/spark-core
libraryDependencies += "org.apache.spark" %% "spark-core" % "2.3.0"
// https://mvnrepository.com/artifact/org.apache.spark/spark-mllib
libraryDependencies += "org.apache.spark" %% "spark-mllib" % "2.3.0"
I had a similar issue, but I found a workaround. Namely, you have to add the spark-mllib jar file to your project manually. Indeed, despite my build.sbt file was
name := "example_project"
version := "0.1"
scalaVersion := "2.12.10"
libraryDependencies ++= Seq(
"org.apache.spark" %% "spark-core" % "3.0.0",
"org.apache.spark" %% "spark-sql" % "3.0.0",
"org.apache.spark" %% "spark-mllib" % "3.0.0" % "runtime"
)
I wasn't able to import the spark library with
import org.apache.spark.sql._
import org.apache.spark.sql.types._
import org.apache.spark.ml._
The solution that worked for me was to add the jar file manually. Specifically,
Download the jar file of the ml library you need (e.g. for spark 3 use https://mvnrepository.com/artifact/org.apache.spark/spark-mllib_2.12/3.0.0 ).
Follow this link to add the jar file to your intelliJ project: Correct way to add external jars (lib/*.jar) to an IntelliJ IDEA project
Add also the mlib-local jar (https://mvnrepository.com/artifact/org.apache.spark/spark-mllib-local)
If, for some reason, you compile again the build.sbt you need to re-import the jar file again.
I am trying to get Apache Spark working with IntelliJ. I have created an SBT project in IntelliJ and done the following:
1. Gone to File -> Project Structure -> Libraries
2. Clicked the '+' in the middle section, clicked Maven, clicked Download Library from Maven Repository, typed text 'spark-core' and org.apache.spark:spark-core_2.11:2.2.0, which is the latest version of Spark available
I downloaded the jar files and the source code into ./lib in the project folder
3. The Spark library is now showing in the list of libraries
4. Then I right-clicked on org.apache.spark:spark-core_2.11:2.2.0 and clicked Add to Project and Add to Modules
Now when I click on Modules on the left, and then my main project folder, and then Dependencies tab on the right I can see the external library as a Maven library, but after clicking Apply, re-building the project and re-starting IntelliJ, it will not show as an external library in the project. Therefore I can't access the Spark API commands.
What am I doing wrong please? I've looked at all the documentation on IntelliJ and a hundred other sources but can't find the answer.
Also, do I also need to include the following text in the build.SBT file, as well as specifying Apache Spark as an external library dependency? I assume that I need to EITHER include the code in the build.SBT file, OR add Spark as an external dependency manually, but not both.
I included this code in my build.SBT file:
name := "Spark_example"
version := "1.0"
scalaVersion := "2.12.3"
val sparkVersion = "2.0.0"
libraryDependencies ++= Seq(
"org.apache.spark" %% "spark-core" % sparkVersion,
"org.apache.spark" %% "spark-streaming" % sparkVersion,
"org.apache.spark" %% "spark-sql" % sparkVersion
)
I get an error: sbt.ResolveException: unresolved dependency: org.apache.spark#spark-core_2.12;2.2.0: not found
Please help! Thanks
Spark does not have builds for Scala version 2.12.x. So set the Scala version to 2.11.x
scalaVersion := "2.11.8"
val sparkVersion = "2.0.0"
libraryDependencies ++= Seq(
"org.apache.spark" %% "spark-core" % sparkVersion,
"org.apache.spark" %% "spark-streaming" % sparkVersion,
"org.apache.spark" %% "spark-sql" % sparkVersion
)
name := "Test"
version := "0.1"
scalaVersion := "2.11.7"
libraryDependencies += "org.apache.spark" %% "spark-core" % "2.2.0.2.6.4.0-91"
libraryDependencies += "org.apache.spark" %% "spark-sql" % "2.2.0.2.6.4.0-91"
libraryDependencies += "org.apache.spark" %% "spark-hive" % "2.2.0.2.6.4.0-91" % "provided"
libraryDependencies += "org.apache.spark" %% "spark-mllib" % "2.2.0.2.6.4.0-91" % "runtime"
libraryDependencies += "org.apache.spark" %% "spark-streaming" % "2.2.0.2.6.4.0-91" % "provided"
libraryDependencies += "org.apache.spark" %% "spark-hive-thriftserver" % "2.2.0.2.6.4.0-91" % "provided"
I am trying to compile and create a jar for Spark kinesis stream scala application provided by spark itself in the given link.
Kinesis word count sample
Following is my sbt file, It has all the dependencies and its compiling fine for simple programs.
name := "stream parser"
version := "1.0"
val sparkVersion = "2.0.2"
libraryDependencies ++= Seq(
"org.apache.spark" %% "spark-core" % sparkVersion % "provided",
"org.apache.spark" %% "spark-streaming" % sparkVersion % "provided",
"org.apache.spark" %% "spark-sql" % sparkVersion % "provided",
"org.apache.spark" %% "spark-streaming-kinesis-asl" % sparkVersion % "provided"
)
But the kinesis sample throwing following error while compiling in my Ubuntu system.
trait Logging in package internal cannot be accessed in package org.apache.spark.internal
[error] object KinesisWordCountASL extends Logging {
[error] ^
Logging class import
import org.apache.spark.internal.Logging
Any Idea what could be the problem ?
According to spark repo 2.0 and above Logging class is included in package org.apache.spark.internal spark In previous releases it is in package org.apache.spark I'd suggest run your example setting up spark 2.0.0 or later. Or make changes according usage of appropiate libraries.
Same example with build.sbt is compiling without any issues
scalaVersion := "2.10.6"
libraryDependencies ++= Seq(
"org.apache.spark" %% "spark-core" % "2.0.2",
"org.apache.spark" %% "spark-sql" % "2.0.2",
"org.apache.spark" %% "spark-streaming" % "2.0.2",
"org.apache.spark" %% "spark-streaming-kinesis-asl" % "2.0.2",
"com.amazonaws" % "amazon-kinesis-producer" % "0.10.2"
)
I'm trying to build a very simple scala standalone app using the Mllib, but I get the following error when trying to bulid the program:
Object Mllib is not a member of package org.apache.spark
Then, I realized that I have to add Mllib as dependency as follow :
version := "1"
scalaVersion :="2.10.4"
libraryDependencies ++= Seq(
"org.apache.spark" %% "spark-core" % "1.1.0",
"org.apache.spark" %% "spark-mllib" % "1.1.0"
)
But, here I got an error that says :
unresolved dependency spark-core_2.10.4;1.1.1 : not found
so I had to modify it to
"org.apache.spark" % "spark-core_2.10" % "1.1.1",
But there is still an error that says :
unresolved dependency spark-mllib;1.1.1 : not found
Anyone knows how to add dependency of Mllib in .sbt file?
As #lmm pointed out, you can instead include the libraries as:
libraryDependencies ++= Seq(
"org.apache.spark" % "spark-core_2.10" % "1.1.0",
"org.apache.spark" % "spark-mllib_2.10" % "1.1.0"
)
In sbt %% includes the scala version, and you are building with scala version 2.10.4 whereas the Spark artifacts are published against 2.10 in general.
It should be noted that if you are going to make an assembly jar to deploy your application you may wish to mark spark-core as provided e.g.
libraryDependencies ++= Seq(
"org.apache.spark" % "spark-core_2.10" % "1.1.0" % "provided",
"org.apache.spark" % "spark-mllib_2.10" % "1.1.0"
)
Since the spark-core package will be in the path on executor anyways.
Here is another way to add the dependency to your build.sbt file if you're using the Databricks sbt-spark-package plugin:
sparkComponents ++= Seq("sql","hive", "mllib")