Maven包不存在

Question

我一直在尝试使用Maven的Cloudera发行版5.4.0重新编译一个使用Hadoop和Spark的应用程序，执行mvn clean package命令，并且我不断收到以下错误：

  

[ERROR]   /.../src/main/java/org/apache/sysml/runtime/instructions/spark/functions/SparkListener.java:[35,33]   包org.apache.spark.ui.scope不存在

这些是 pom.xml 文件的相关部分，包含属性，依赖项和存储库。

<properties>
    <hadoop.version>2.6.0-cdh5.4.0</hadoop.version>
            <spark.version>1.3.0-cdh5.4.0</spark.version>
    <antlr.version>4.3</antlr.version>

    <!-- OS-specific JVM arguments for running integration tests -->
    <integrationTestExtraJVMArgs />
</properties>
<dependencies>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-core_2.10</artifactId>
        <version>${spark.version}</version>
        <scope>compile</scope>
    </dependency>

    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-mllib_2.10</artifactId>
        <version>${spark.version}</version>
        <scope>provided</scope>
    </dependency>

            <dependency>
                    <groupId>org.apache.spark</groupId>
                    <artifactId>spark-assembly_2.10</artifactId>
                    <version>${spark.version}</version>
                    <scope>provided</scope>
            </dependency>

            <dependency>
                    <groupId>org.apache.spark</groupId>
                    <artifactId>spark-yarn_2.10</artifactId>
                    <version>${spark.version}</version>
                    <scope>provided</scope>
            </dependency>

    <!-- To support dataframe in mlcontext -->
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-sql_2.10</artifactId>
        <version>${spark.version}</version>
        <scope>provided</scope>
    </dependency>

    <!-- Adding Gauva version 14.0.1 to workaround conflict between spark and hadoop dependency -->
    <dependency>
        <groupId>com.google.guava</groupId>
        <artifactId>guava</artifactId>
        <version>14.0.1</version>
    </dependency>

    <dependency>
        <groupId>org.apache.hadoop</groupId>
        <artifactId>hadoop-common</artifactId>
        <version>${hadoop.version}</version>
        <scope>provided</scope>
        <exclusions>
            <exclusion>
                <groupId>javax.servlet</groupId>
                <artifactId>servlet-api</artifactId>
            </exclusion>
        </exclusions>
    </dependency>
    <dependency>
        <groupId>org.apache.hadoop</groupId>
        <artifactId>hadoop-hdfs</artifactId>
        <version>${hadoop.version}</version>
        <scope>provided</scope>
        <exclusions>
            <exclusion>
                <groupId>javax.servlet</groupId>
                <artifactId>servlet-api</artifactId>
            </exclusion>
        </exclusions>
    </dependency>
    <dependency>
        <groupId>org.apache.hadoop</groupId>
        <artifactId>hadoop-client</artifactId>
        <version>${hadoop.version}</version>
        <scope>provided</scope>
        <exclusions>
            <exclusion>
                <groupId>javax.servlet</groupId>
                <artifactId>servlet-api</artifactId>
            </exclusion>
        </exclusions>
    </dependency>
    <dependency>
        <groupId>org.apache.hadoop</groupId>
        <artifactId>hadoop-mapreduce-client-app</artifactId>
        <version>${hadoop.version}</version>
        <scope>provided</scope>
        <exclusions>
            <exclusion>
                <groupId>javax.servlet</groupId>
                <artifactId>servlet-api</artifactId>
            </exclusion>
        </exclusions>
    </dependency>
    <dependency>
        <groupId>org.apache.hadoop</groupId>
        <artifactId>hadoop-mapreduce-client-jobclient</artifactId>
        <version>${hadoop.version}</version>
        <scope>provided</scope>
        <exclusions>
            <exclusion>
                <groupId>javax.servlet</groupId>
                <artifactId>servlet-api</artifactId>
            </exclusion>
        </exclusions>
    </dependency>
    <dependency>
        <groupId>commons-logging</groupId>
        <artifactId>commons-logging</artifactId>
        <version>1.1.1</version>
        <scope>provided</scope>
    </dependency>
    <dependency>
        <groupId>org.apache.commons</groupId>
        <artifactId>commons-math3</artifactId>
        <version>3.1.1</version>
        <scope>provided</scope>
    </dependency>

    <dependency>
        <groupId>log4j</groupId>
        <artifactId>log4j</artifactId>
        <version>1.2.15</version>
        <scope>provided</scope>
        <exclusions>
            <exclusion>
                <groupId>com.sun.jmx</groupId>
                <artifactId>jmxri</artifactId>
            </exclusion>
            <exclusion>
                <groupId>com.sun.jdmk</groupId>
                <artifactId>jmxtools</artifactId>
            </exclusion>
            <exclusion>
                <groupId>javax.jms</groupId>
                <artifactId>jms</artifactId>
            </exclusion>
        </exclusions>
    </dependency>

    <dependency>
        <groupId>net.sf.opencsv</groupId>
        <artifactId>opencsv</artifactId>
        <version>1.8</version>
        <scope>provided</scope>
    </dependency>

    <dependency>
        <groupId>org.apache.wink</groupId>
        <artifactId>wink-json4j</artifactId>
        <version>1.4</version>
    </dependency>

    <dependency>
        <groupId>junit</groupId>
        <artifactId>junit</artifactId>
        <version>4.11</version>
        <scope>provided</scope>
    </dependency>

    <dependency>
        <groupId>stax</groupId>
        <artifactId>stax-api</artifactId>
        <version>1.0.1</version>
        <scope>provided</scope>
    </dependency>
    <dependency>
        <groupId>commons-collections</groupId>
        <artifactId>commons-collections</artifactId>
        <version>3.2.1</version>
        <scope>provided</scope>
    </dependency>

    <dependency>
        <groupId>org.antlr</groupId>
        <artifactId>antlr4</artifactId>
        <version>${antlr.version}</version>
        <scope>provided</scope>
        <exclusions>
            <exclusion>
                <artifactId>antlr-runtime</artifactId>
                <groupId>org.antlr</groupId>
            </exclusion>
        </exclusions>
    </dependency>
    <dependency>
        <groupId>org.antlr</groupId>
        <artifactId>antlr4-runtime</artifactId>
        <version>${antlr.version}</version>
    </dependency>

    <!-- Libraries for yarn integration -->
    <dependency>
        <groupId>org.apache.hadoop</groupId>
        <artifactId>hadoop-yarn-api</artifactId>
        <version>${hadoop.version}</version>
        <scope>provided</scope>
    </dependency>

    <dependency>
        <groupId>org.apache.hadoop</groupId>
        <artifactId>hadoop-yarn-common</artifactId>
        <version>${hadoop.version}</version>
        <scope>provided</scope>
        <exclusions>
            <exclusion>
                <groupId>javax.servlet</groupId>
                <artifactId>servlet-api</artifactId>
            </exclusion>
        </exclusions>
    </dependency>

    <dependency>
        <groupId>org.apache.hadoop</groupId>
        <artifactId>hadoop-yarn-client</artifactId>
        <version>${hadoop.version}</version>
        <scope>provided</scope>
    </dependency>

    <dependency>
        <groupId>org.apache.hadoop</groupId>
        <artifactId>hadoop-mapreduce-client-common</artifactId>
        <version>${hadoop.version}</version>
        <scope>provided</scope>
    </dependency>

</dependencies>

    <repositories>
            <repository>
                    <id>cloudera</id>
                    <url>https://repository.cloudera.com/artifactory/cloudera-repos</url>
                    <releases>
                        <enabled>true</enabled>
                    </releases>
                    <snapshots>
                        <enabled>false</enabled>
                    </snapshots>
            </repository>
    </repositories>

显然，包含依赖性spark-core应该包括 org.apache.spark.ui.scope 包。 有谁知道这个问题的原因是什么以及如何解决它？

谢谢！