什么是版本库spark支持SparkSession

问题描述

使用SparkSession代码Spark。

Code Spark with SparkSession.

   import org.apache.spark.SparkConf
   import org.apache.spark.SparkContext

   val conf = SparkSession.builder
  .master("local")
  .appName("testing")
  .enableHiveSupport()  // <- enable Hive support.
  .getOrCreate()

代码pom.xml

Code pom.xml

<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.cms.spark</groupId>
    <artifactId>cms-spark</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>cms-spark</name>

    <pluginRepositories>
        <pluginRepository>
            <id>scala-tools.org</id>
            <name>Scala-tools Maven2 Repository</name>
            <url>http://scala-tools.org/repo-releases</url>
        </pluginRepository>
    </pluginRepositories>

    <dependencies>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.10</artifactId>
            <version>1.6.0</version>
        </dependency>

        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-sql_2.10</artifactId>
            <version>1.6.0</version>
        </dependency>

        <dependency>
            <groupId>com.databricks</groupId>
            <artifactId>spark-csv_2.10</artifactId>
            <version>1.4.0</version>
        </dependency>

        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-hive_2.10</artifactId>
            <version>1.5.2</version>
        </dependency>

        <dependency>
            <groupId>org.jsoup</groupId>
            <artifactId>jsoup</artifactId>
            <version>1.8.3</version>
        </dependency>

    </dependencies>

    <build>
        <plugins>
            <plugin>
                <artifactId>maven-assembly-plugin</artifactId>
                <version>2.5.3</version>
                <configuration>
                    <descriptorRefs>
                        <descriptorRef>jar-with-dependencies</descriptorRef>
                    </descriptorRefs>
                </configuration>
                <executions>
                    <execution>
                        <id>make-assembly</id> <!-- this is used for inheritance merges -->
                        <phase>install</phase> <!-- bind to the packaging phase -->
                        <goals>
                            <goal>single</goal>
                        </goals>
                    </execution>
                </executions>
            </plugin>
        </plugins>

    </build>
</project>

我有一些问题。我使用SparkSession创建代码spark，iam在SparkSql库中找不到SparkSession。所以iam不能运行代码spark。 Iam问什么是在Spark库中查找SparkSession的版本。我给代码pom.xml。

I have some problem. I create code spark with SparkSession, iam get trouble SparkSession not find in library SparkSql. So iam can't run code spark. Iam question what is version to find SparkSession in library Spark. I give code pom.xml.

谢谢。

Thanks.

推荐答案

/ p>

you need both core and SQL artifacts

<repositories>
    <repository>
        <id>cloudera</id>
        <url>https://repository.cloudera.com/artifactory/cloudera-repos/</url>
    </repository>
</repositories>
<dependencies>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-core_2.11</artifactId>
        <version>2.0.0-cloudera1-SNAPSHOT</version>
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-sql_2.11</artifactId>
        <version>2.0.0-cloudera1-SNAPSHOT</version>
    </dependency>
</dependencies>

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