I am trying to run basic spark streaming example on my machine using IntelliJ, but I am unable to resolve the dependency issues.
Please help me in fixing it.
name := "demoSpark"
version := "1.0"
scalaVersion := "2.11.8"
libraryDependencies ++= Seq("org.apache.spark"% "spark-core_2.11"%"2.1.0",
"org.apache.spark" % "spark-sql_2.10" % "2.1.0",
"org.apache.spark" % "spark-streaming_2.11" % "2.1.0",
"org.apache.spark" % "spark-mllib_2.10" % "2.1.0"
)
At the very least, all the dependencies must use the same version of Scala, not a mix of 2.10 and 2.11. You can use %% symbol in sbt to ensure the right version is selected (the one you specified in scalaVersion).
libraryDependencies ++= Seq(
"org.apache.spark" %% "spark-core" % "2.1.0",
"org.apache.spark" %% "spark-sql" % "2.1.0",
"org.apache.spark" %% "spark-streaming" % "2.1.0",
"org.apache.spark" %% "spark-mllib" % "2.1.0"
)
Related
Checking the logs is usually helpful. When you use:
libraryDependencies += "org.apache.spark" %% "spark-core" % "3.1.2"
you will find a repo link:
not found: https://repo1.maven.org/maven2/org/apache/spark/spark-core_2.13/3.1.2/spark-core_2.13-3.1.2.pom
Here you can see that you can't reach the exact dir because of %% always tries to find itself but can't reach.
Use % only and try to give the manual path like this added the postfix to spark_sql.
libraryDependencies += "org.apache.spark" % "spark-sql_2.12" % "3.1.2" % "provided"
libraryDependencies += "org.apache.spark" % "spark-core_2.12" % "3.1.2" % "provided"
According to JxD’s own response:
Here, you can see that you can't reach the exact dir because of %%.
Use % only and try to give the manual path like this added as the postfix to spark_sql dependency.
libraryDependencies += "org.apache.spark" % "spark-sql_2.12" % "3.1.2" % "provided"
libraryDependencies += "org.apache.spark" % "spark-core_2.12" % "3.1.2" % "provided"
I cannot create a new scala project in IntelliJ. It does not recognize the scala syntax. For example, in the below code
libraryDependencies ++= Seq(
"org.apache.spark" %% "spark-core" % sparkVersion,
"org.apache.spark" %% "spark-sql" % sparkVersion,
)
It does not recognize the word Seq. THis is my assembly file
addSbtPlugin("com.eed3si9n" % "sbt-assembly" % "0.12.0")
My build.properties is
sbt.version=0.13.16
I am trying to use cloudera scalats library for time series forecasting but unable to dowload the library using sbt.
Below is build.sbt file. I can see maven repo has 0.4.0 disted version, so not sure what wrong I am doing.
Can anyone please help me to know what wrong I am doing with sbt file?
import sbt.complete.Parsers._
scalaVersion := "2.11.8"
name := "Forecast Stock Price using Spark TimeSeries library"
val sparkVersion = "1.5.2"
//resolvers ++= Seq("Cloudera Repository" at "https://repository.cloudera.com/artifactory/cloudera-repos/")
libraryDependencies ++= Seq(
"org.apache.spark" %% "spark-core" % sparkVersion withSources(),
"org.apache.spark" %% "spark-streaming" % sparkVersion withSources(),
"org.apache.spark" %% "spark-sql" % sparkVersion withSources(),
"org.apache.spark" %% "spark-hive" % sparkVersion withSources(),
"org.apache.spark" %% "spark-streaming-twitter" % sparkVersion withSources(),
"org.apache.spark" %% "spark-mllib" % sparkVersion withSources(),
"com.databricks" %% "spark-csv" % "1.3.0" withSources(),
"com.cloudera.sparkts" %% "sparkts" % "0.4.0"
)
Change
"com.cloudera.sparkts" %% "sparkts" % "0.4.0"
to
"com.cloudera.sparkts" % "sparkts" % "0.4.0"
sparkts is only distributed for Scala 2.11; it does not encode the Scala version in the artifact name.
spark depends on an old version of guava.
i build my spark project with sbt assembly, excluding spark using provided, and including the latest version of guava.
However, when running sbt-assembly, the guava dependency is excluded also from the jar.
my build.sbt:
libraryDependencies ++= Seq(
"org.apache.spark" %% "spark-core" % sparkVersion % "provided",
"org.apache.spark" %% "spark-sql" % sparkVersion % "provided",
"org.apache.spark" %% "spark-mllib" % sparkVersion % "provided",
"com.google.guava" % "guava" % "11.0"
)
if i remove the % "provided", then both spark and guava is included.
so, how can i exclude spark and include guava?
You are looking for shading options. See here but basically you need to add shading instructions. Something like this:
assemblyShadeRules in assembly := Seq(
ShadeRule.rename("com.google.guava.**" -> "my_conf.#1")
.inLibrary("com.google.guava" % "config" % "11.0")
.inProject
)
There is also the corresponding maven-shade-plugin for those who prefer maven.
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"
)