Spark Scala : Unable to import sqlContext.implicits._ - scala

Question

I tried the below code and cannot import sqlContext.implicits._ - it throws an error (in the Scala IDE), unable to build the code:
value implicits is not a member of org.apache.spark.sql.SQLContext
Do I need to add any dependencies in pom.xml?
Spark version 1.5.2
package com.Spark.ConnectToHadoop
import org.apache.spark.SparkConf
import org.apache.spark.SparkConf
import org.apache.spark._
import org.apache.spark.sql._
import org.apache.spark.sql.hive.HiveContext
import org.apache.spark.sql.SQLContext
import org.apache.spark.rdd.RDD
//import groovy.sql.Sql.CreateStatementCommand
//import org.apache.spark.SparkConf
object CountWords {
def main(args:Array[String]){
val objConf = new SparkConf().setAppName("Spark Connection").setMaster("spark://IP:7077")
var sc = new SparkContext(objConf)
val objHiveContext = new HiveContext(sc)
objHiveContext.sql("USE test")
var rdd= objHiveContext.sql("select * from Table1")
val options=Map("path" -> "hdfs://URL/apps/hive/warehouse/test.db/TableName")
//val sqlContext = new org.apache.spark.sql.SQLContext(sc)
val sqlContext = new SQLContext(sc)
import sqlContext.implicits._ //Error
val dataframe = rdd.toDF()
dataframe.write.format("orc").options(options).mode(SaveMode.Overwrite).saveAsTable("TableName")
}
}
My pom.xml file is as follows
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>com.Sudhir.Maven1</groupId>
<artifactId>SparkDemo</artifactId>
<version>0.0.1-SNAPSHOT</version>
<packaging>jar</packaging>
<name>SparkDemo</name>
<url>http://maven.apache.org</url>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
</properties>
<dependencies>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.10</artifactId>
<version>1.5.2</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.10</artifactId>
<version>1.0.0</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-mllib_2.10</artifactId>
<version>1.5.2</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming_2.10</artifactId>
<version>0.9.1</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-hive_2.10</artifactId>
<version>1.2.1</version>
</dependency>
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-jdbc</artifactId>
<version>1.2.1</version>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>3.8.1</version>
<scope>test</scope>
</dependency>
</dependencies>
</project>

Answer 1

first create
val sqlContext = new org.apache.spark.sql.SQLContext(sc)
now we have sqlContext w.r.t sc (this will be available automatically when we launch spark-shell)
now,
import sqlContext.implicits._

Answer 2

With the release of Spark 2.0.0 (July 26, 2016) one should now use the following:
import spark.implicits._ // spark = SparkSession.builder().getOrCreate()
https://databricks.com/blog/2016/08/15/how-to-use-sparksession-in-apache-spark-2-0.html

Answer 3

You use an old version of Spark-SQL. Change it to:
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.10</artifactId>
<version>1.5.2</version>
</dependency>

Answer 4

For someone using sbt to build, update the library versions to
libraryDependencies ++= Seq(
"org.apache.spark" % "spark-core_2.12" % "2.4.6" % "provided",
"org.apache.spark" % "spark-sql_2.12" % "2.4.6" % "provided"
)
And then import SqlImplicits as below.
val spark = SparkSession.builder()
.appName("appName")
.getOrCreate()
import spark.sqlContext.implicits._;

Answer 5

You can also use
<properties>
<spark.version>2.2.0</spark.version>
</properties>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.11</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.11</artifactId>
<version>${spark.version}</version>
</dependency>