本文整理汇总了Java中org.apache.flink.api.java.DataSet.write方法的典型用法代码示例。如果您正苦于以下问题:Java DataSet.write方法的具体用法?Java DataSet.write怎么用?Java DataSet.write使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类org.apache.flink.api.java.DataSet
的用法示例。
在下文中一共展示了DataSet.write方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: testProgram
import org.apache.flink.api.java.DataSet; //导入方法依赖的package包/类
@Override
protected void testProgram() throws Exception {
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Tuple3<String, Integer, String>> input = env.readCsvFile(inputPath)
.fieldDelimiter("|")
.types(String.class, Integer.class, String.class);
//output the data with AvroOutputFormat for specific user type
DataSet<User> specificUser = input.map(new ConvertToUser());
AvroOutputFormat<User> avroOutputFormat = new AvroOutputFormat<User>(User.class);
avroOutputFormat.setCodec(AvroOutputFormat.Codec.SNAPPY); // FLINK-4771: use a codec
avroOutputFormat.setSchema(User.SCHEMA$); //FLINK-3304: Ensure the OF is properly serializing the schema
specificUser.write(avroOutputFormat, outputPath1);
//output the data with AvroOutputFormat for reflect user type
DataSet<ReflectiveUser> reflectiveUser = specificUser.map(new ConvertToReflective());
reflectiveUser.write(new AvroOutputFormat<ReflectiveUser>(ReflectiveUser.class), outputPath2);
env.execute();
}
示例2: testProgram
import org.apache.flink.api.java.DataSet; //导入方法依赖的package包/类
@Override
protected void testProgram() throws Exception {
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Tuple3<String, Integer, String>> input = env.readCsvFile(inputPath)
.fieldDelimiter("|")
.types(String.class, Integer.class, String.class);
//output the data with AvroOutputFormat for specific user type
DataSet<User> specificUser = input.map(new ConvertToUser());
AvroOutputFormat<User> avroOutputFormat = new AvroOutputFormat<User>(User.class);
avroOutputFormat.setCodec(Codec.SNAPPY); // FLINK-4771: use a codec
avroOutputFormat.setSchema(User.SCHEMA$); //FLINK-3304: Ensure the OF is properly serializing the schema
specificUser.write(avroOutputFormat, outputPath1);
//output the data with AvroOutputFormat for reflect user type
DataSet<ReflectiveUser> reflectiveUser = specificUser.map(new ConvertToReflective());
reflectiveUser.write(new AvroOutputFormat<ReflectiveUser>(ReflectiveUser.class), outputPath2);
env.execute();
}