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[英]Type mismatch: cannot convert from Iterator<String> in Java Spark
[英]Spark Type mismatch: cannot convert from DataFrame to Dataset<Row>
我收到一个奇怪的错误消息
Type mismatch: cannot convert from DataFrame to Dataset<Row>
当我尝试从此处实现示例代码时。
这是给我错误的行。
Dataset<Row> verDF = spark.createDataFrame(uList, User.class);
我还在这里查看了Spark的文档,该文档给出了相同的示例。 但是我不确定为什么我的情况不起作用。
这是我的imports
:
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.function.Function;
import org.apache.spark.graphx.*;
import org.apache.spark.graphx.lib.*;
import org.apache.spark.rdd.RDD;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Row;
import org.apache.spark.storage.StorageLevel;
import org.graphframes.GraphFrame;
import scala.Tuple2;
import scala.collection.Iterator;
import scala.collection.immutable.Map;
import scala.collection.immutable.Seq;
以下是相关的依赖项:
<repositories>
<repository>
<id>cloudera</id>
<url>https://repository.cloudera.com/artifactory/cloudera-repos/</url>
</repository>
<repository>
<id>SparkPackagesRepo</id>
<url>http://dl.bintray.com/spark-packages/maven</url>
</repository>
</repositories>
<dependencies>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>${hadoop.version}</version>
</dependency>
<dependency>
<groupId>graphframes</groupId>
<artifactId>graphframes</artifactId>
<version>0.2.0-spark2.0-s_2.11</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.10</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.10</artifactId>
<version>${spark.version}</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-mllib_2.10 -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-mllib_2.10</artifactId>
<version>1.3.0</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-graphx_2.10 -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-graphx_2.10</artifactId>
<version>2.1.0</version>
</dependency>
</dependencies>
解决了问题。 我使用了以下依赖关系,并使用了SparkSession
实例来创建数据SparkSession
。
<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>
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