我正在尝试使用apache flink进行流处理，学习streamingfilesink教程。
书中提到，我可以指定我的avropojo对象，并将流保存到一个带有avro模式的parquet文件中，保存到本地fs中。
看起来是这样的：

val sink: StreamingFileSink[String] = StreamingFileSink
  .forBulkFormat(
    new Path("/base/path"), 
    ParquetAvroWriters.forSpecificRecord(classOf[AvroPojo]))
  .build()

在我添加后（测试了1.9和1.8，在1.9中我使用了flink-parquet\ 2.11）

<dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-parquet</artifactId>
            <version>${flink.version}</version>
        </dependency>

然后我可以成功地使用parquetavrowriter，但编译时会出现缺少parquetavrowriter的错误。

Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/flink/formats/parquet/avro/ParquetAvroWriters

所以我得加上 parquet 。
那就告诉我：

Caused by: java.lang.ClassNotFoundException: org.apache.hadoop.conf.Configuration

更新：
pom.xml文件

<dependencies>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-streaming-java_${scala.compat}</artifactId>
            <version>${flink.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-streaming-scala_${scala.compat}</artifactId>
            <version>${flink.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-runtime-web_${scala.compat}</artifactId>
            <version>${flink.version}</version>
        </dependency>

        <dependency>
            <groupId>org.elasticsearch</groupId>
            <artifactId>elasticsearch</artifactId>
            <version>6.7.0</version>
            <scope>compile</scope>
        </dependency>

        <dependency>
            <groupId>org.elasticsearch.client</groupId>
            <artifactId>transport</artifactId>
            <version>6.7.0</version>
        </dependency>

        <dependency>
            <groupId>joda-time</groupId>
            <artifactId>joda-time</artifactId>
            <version>2.7</version>
        </dependency>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-avro</artifactId>
            <version>${flink.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-parquet_${scala.compat}</artifactId>
            <version>${flink.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.parquet</groupId>
            <artifactId>parquet-avro</artifactId>
            <version>1.10.0</version>
        </dependency>

        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-client</artifactId>
            <version>2.6.5</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.pulsar/pulsar-common -->
        <dependency>
            <groupId>org.apache.pulsar</groupId>
            <artifactId>pulsar-common</artifactId>
            <version>2.4.1</version>
        </dependency>

        <dependency>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>log4j-api</artifactId>
            <version>2.6.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>log4j-core</artifactId>
            <version>2.6.1</version>
        </dependency>

问题1。如果没有配置hadoop，我如何编译这段代码？或者使用parquet和avro在本地fs中保存数据的其他方法？