Maven Intellij无法识别sparksession sparkcontext sqlcontext-Spark版本2.4.4

我正在用spark和scala在Intellij中创建Maven项目。但Intellij未能识别sparksession、sparkcontext和sqlcontext。随附图片

错误：无法解析符号getsqlcontext 错误：无法解析符号getSparkContaxt

我对POM的理解是项目对象模型，或者POM是Maven中的基本工作单元。它是一个XML文件，包含有关项目的信息和Maven用于构建项目的配置详细信息

我是否需要更改POM属性或依赖项中的某些内容

我的POM文件看起来像这样

<?xml version="1.0" encoding="UTF-8"?>
<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.IPM</groupId>
    <artifactId>lambda</artifactId>
    <packaging>pom</packaging>
    <version>1.0-SNAPSHOT</version>
    <modules>
        <module>spark-lambda</module>
    </modules>

    <properties>
        <spark.version>2.4.4</spark.version>
        <chill.version>0.7.2</chill.version>
        <algebird.version>0.11.0</algebird.version>
        <kafka.clients.version>0.8.2.1</kafka.clients.version>
        <avro.version>1.7.7</avro.version>
        <spark-cassandra-connector.version>1.6.1</spark-cassandra-connector.version>
        <cassandra-driver-core.version>3.0.1</cassandra-driver-core.version>
        <nscala-time.version>2.6.0</nscala-time.version>
    </properties>

    <dependencies>
        <dependency>
            <groupId>com.typesafe</groupId>
            <artifactId>config</artifactId>
            <version>1.3.0</version>
        </dependency>

        <dependency>
            <groupId>com.datastax.spark</groupId>
            <artifactId>spark-cassandra-connector_2.11</artifactId>
            <version>${spark-cassandra-connector.version}</version>
        </dependency>
        <dependency>
            <groupId>com.datastax.cassandra</groupId>
            <artifactId>cassandra-driver-core</artifactId>
            <version>${cassandra-driver-core.version}</version>
        </dependency>

        <dependency>
            <groupId>com.github.nscala-time</groupId>
            <artifactId>nscala-time_2.11</artifactId>
            <version>${nscala-time.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka-clients</artifactId>
            <version>${kafka.clients.version}</version>
        </dependency>
        <dependency>
            <groupId>org.slf4j</groupId>
            <artifactId>slf4j-api</artifactId>
            <version>1.7.7</version>
        </dependency>

        <dependency>
            <groupId>com.twitter</groupId>
            <artifactId>chill_2.11</artifactId>
            <version>${chill.version}</version>
        </dependency>
        <dependency>
            <groupId>com.twitter</groupId>
            <artifactId>chill-avro_2.11</artifactId>
            <version>${chill.version}</version>
        </dependency>
        <dependency>
            <groupId>com.twitter</groupId>
            <artifactId>algebird-core_2.11</artifactId>
            <version>${algebird.version}</version>
        </dependency>


        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.11</artifactId>
            <version>${spark.version}</version>
            <scope>compile</scope>
            <!-- provided -->
        </dependency>

        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka_2.11</artifactId>
            <version>${kafka.clients.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-streaming_2.11</artifactId>
            <version>${spark.version}</version>
            <scope>compile</scope>
            <!-- provided -->
        </dependency>

        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-sql_2.11</artifactId>
            <version>${spark.version}</version>
            <scope>compile</scope>
            <!-- provided -->
        </dependency>


        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-mllib_2.11</artifactId>
            <version>${spark.version}</version>
            <scope>compile</scope>
            <!-- provided -->
        </dependency>

        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-hive_2.11</artifactId>
            <version>${spark.version}</version>
            <scope>compile</scope>
            <!-- provided -->
        </dependency>

        <dependency>
            <groupId>joda-time</groupId>
            <artifactId>joda-time</artifactId>
            <version>2.8.1</version>
        </dependency>

        <dependency>
            <groupId>org.joda</groupId>
            <artifactId>joda-convert</artifactId>
            <version>1.7</version>
        </dependency>
    </dependencies>
    <build>
        <sourceDirectory>src/main/scala</sourceDirectory>
        <plugins>
            <plugin>
                <groupId>net.alchim31.maven</groupId>
                <artifactId>scala-maven-plugin</artifactId>
                <version>3.1.6</version>
                <executions>
                    <execution>
                        <phase>compile</phase>
                        <goals>
                            <goal>compile</goal>
                            <goal>testCompile</goal>
                        </goals>
                    </execution>
                </executions>
            </plugin>

            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-shade-plugin</artifactId>
                <version>2.3</version>
                <executions>
                    <execution>
                        <phase>package</phase>
                        <goals>
                            <goal>shade</goal>
                        </goals>
                        <configuration>
                            <shadedArtifactAttached>true</shadedArtifactAttached>
                            <filters>
                                <filter>
                                    <artifact>*:*</artifact>
                                    <excludes>
                                        <exclude>META-INF/*.SF</exclude>
                                        <exclude>META-INF/*.DSA</exclude>
                                        <exclude>META-INF/*.RSA</exclude>
                                    </excludes>
                                </filter>
                            </filters>
                            <artifactSet>
                                <includes>
                                    <include>*:*</include>
                                </includes>
                            </artifactSet>
                            <transformers>
                                <transformer
                                        implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
                                    <resource>reference.conf</resource>
                                </transformer>
                            </transformers>
                        </configuration>
                    </execution>
                </executions>
            </plugin>

        </plugins>
    </build>




</project>

4.0.0
com.IPM
Spark中没有此类函数，您需要正确创建上下文，如下所示（如下所示）：

def main（args:Array[String]）：单位={
val sc=新的SparkContext（）
val spark=SparkSession.builder（）.config（sc.getConf.getOrCreate（））
导入spark.implicits_
...
}

第二，您的依赖项不正确-您正在使用Spark Cassandra Connector 1.6.1，它是为Spark 1.6设计的，而您正在尝试使用Spark 2.4.4

您需要使用Spark Cassandra Connector 2.5.0（最新版本）-它与Spark 2.4兼容，并且还具有

您还需要删除此依赖项：

<dependency>
   <groupId>com.datastax.cassandra</groupId>
   <artifactId>cassandra-driver-core</artifactId>
   <version>${cassandra-driver-core.version}</version>
</dependency>


com.datasax.cassandra
使用Kafka+Spark+Cassandra的方法。
Spark中没有此类函数，您需要正确创建上下文，如下所示（如下所示）：

def main（args:Array[String]）：单位={
val sc=新的SparkContext（）
val spark=SparkSession.builder（）.config（sc.getConf.getOrCreate（））
导入spark.implicits_
...
}

第二，您的依赖项不正确-您正在使用Spark Cassandra Connector 1.6.1，它是为Spark 1.6设计的，而您正在尝试使用Spark 2.4.4

您需要使用Spark Cassandra Connector 2.5.0（最新版本）-它与Spark 2.4兼容，并且还具有

您还需要删除此依赖项：

<dependency>
   <groupId>com.datastax.cassandra</groupId>
   <artifactId>cassandra-driver-core</artifactId>
   <version>${cassandra-driver-core.version}</version>
</dependency>


com.datasax.cassandra
使用Kafka+Spark+Cassandra的可能性。
你有太多的依赖项，imho。从小处做起。抓取东西-它的工作项目。。。只需克隆repo，从中复制Pom.xml，稍微调整版本以使用SCC 2.5.0您有太多的依赖项，imho。从小处做起。抓取东西-它的工作项目。。。只需克隆repo，从中复制Pom.xml，稍微调整版本以使用SCC2.5.0