什么是版本库火花支持的SparkSession

Question

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()

代码绒球.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创建代码火花，我在库SparkSql中找不到SparkSession。所以 iam 无法运行代码火花。我质疑在库Spark中找到SparkSession的版本是什么。我给代码pom.xml。

谢谢。

Answer 1

你需要核心和SQL工件

<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> 

Answer 2

你需要Spark

2.0才能使用SparkSession。目前，它在Maven中央快照存储库中可用：

groupId = org.apache.spark
artifactId = spark-core_2.11
version = 2.0.0-SNAPSHOT

必须为其他 Spark 项目指定相同的版本。请注意，2.0仍处于测试阶段，预计在大约一个月内稳定，AFAIK。

更新。或者，您可以使用Spark 2.0的Cloudera分支：

groupId = org.apache.spark
artifactId = spark-core_2.11
version = 2.0.0-cloudera1-SNAPSHOT

Cloudera 存储库必须在 Maven 存储库列表中指定：

<repository>
   <id>cloudera</id>
   <url>https://repository.cloudera.com/artifactory/cloudera-repos/</url>
</repository>