问题
Since Flink supports the Hadoop FileSystem abstraction, and there's a GCS connector - library that implements it on top of Google Cloud Storage.
How do I create a Flink file source using the code in this repo?
回答1:
To achieve this you need to:
- Install and configure GCS connector on your Flink cluster.
- Add Hadoop and Flink dependencies (including HDFS connector) to your project:
<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>
Use it to create data source with GCS path:
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/"));
来源:https://stackoverflow.com/questions/55612471/consume-gcs-files-based-on-pattern-from-flink