根据Flink

Question

由于Flink支持Hadoop FileSystem抽象，并且有一个GCS connector-库在Google Cloud Storage之上实现。

如何使用此存储库中的代码创建Flink文件源？

Answer 1

要实现这一目标，您需要：

1. Install and configure Flink群集上的GCS连接器。
2. 将Hadoop和Flink依赖项（包括HDFS connector）添加到您的项目中：

   <dependency>
       <groupId>org.apache.flink</groupId>
       <artifactId>flink-scala_2.11</artifactId>
       <version>${flink.version}</version>
       <scope>provided</scope>
   </dependency>
   <dependency>
       <groupId>org.apache.flink</groupId>
       <artifactId>flink-connector-filesystem_2.11</artifactId>
       <version>${flink.version}</version>
   </dependency>
   <dependency>
       <groupId>org.apache.flink</groupId>
       <artifactId>flink-hadoop-compatibility_2.11</artifactId>
       <version>${flink.version}</version>
   </dependency>
   <dependency>
       <groupId>org.apache.hadoop</groupId>
       <artifactId>hadoop-common</artifactId>
       <version>${hadoop.version}</version>
       <scope>provided</scope>
   </dependency>
   <dependency>
       <groupId>org.apache.hadoop</groupId>
       <artifactId>hadoop-mapreduce-client-core</artifactId>
       <version>${hadoop.version}</version>
       <scope>provided</scope>
   </dependency>
   

3. Use it创建具有GCS路径的数据源：

   import org.apache.flink.api.java.DataSet;
   import org.apache.flink.api.java.ExecutionEnvironment;
   import org.apache.flink.api.java.tuple.Tuple2;
   import org.apache.flink.hadoopcompatibility.HadoopInputs;
   import org.apache.hadoop.io.LongWritable;
   import org.apache.hadoop.io.Text;
   import org.apache.hadoop.mapred.TextInputFormat;
   
   ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
   
   DataSet<Tuple2<LongWritable, Text>> input =
       env.createInput(
           HadoopInputs.readHadoopFile(
               new TextInputFormat(), LongWritable.class, Text.class, "gs://bucket/path/some*pattern/"));