为此，您需要：
在flink群集上安装并配置gcs连接器。
将hadoop和flink依赖项（包括hdfs连接器）添加到项目中：

<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>

使用它创建具有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/"));