Java Code Examples for org.apache.flink.api.java.DataSet#write()
The following examples show how to use
org.apache.flink.api.java.DataSet#write() .
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Example 1
Source File: AvroOutputFormatITCase.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
@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.class); avroOutputFormat.setCodec(Codec.SNAPPY); // FLINK-4771: use a codec avroOutputFormat.setSchema(User.SCHEMA$); //FLINK-3304: Ensure the OF is properly serializing the schema specificUser.write(avroOutputFormat, outputPath1); //output the data with AvroOutputFormat for reflect user type DataSet<ReflectiveUser> reflectiveUser = specificUser.map(new ConvertToReflective()); reflectiveUser.write(new AvroOutputFormat<>(ReflectiveUser.class), outputPath2); env.execute(); }
Example 2
Source File: AvroOutputFormatITCase.java From flink with Apache License 2.0 | 6 votes |
@Override protected void testProgram() throws Exception { ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); DataSet<Tuple3<String, Integer, String>> input = env.readCsvFile(inputPath) .fieldDelimiter("|") .types(String.class, Integer.class, String.class); //output the data with AvroOutputFormat for specific user type DataSet<User> specificUser = input.map(new ConvertToUser()); AvroOutputFormat<User> avroOutputFormat = new AvroOutputFormat<>(User.class); avroOutputFormat.setCodec(Codec.SNAPPY); // FLINK-4771: use a codec avroOutputFormat.setSchema(User.SCHEMA$); //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.class), outputPath2); env.execute(); }
Example 3
Source File: AvroOutputFormatITCase.java From flink with Apache License 2.0 | 6 votes |
@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.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.class), outputPath2); env.execute(); }
Example 4
Source File: DataSetSerializer.java From toolbox with Apache License 2.0 | 5 votes |
public static <T> void serializeDataSet(DataSet<T> dataSet, String pathFile){ DataSet<byte[]> tmp = dataSet.map(new RichMapFunction<T, byte[]>() { @Override public byte[] map(T value) throws Exception { return Serialization.serializeObject(value); } }); tmp.write(new SerializedOutputFormat(), pathFile, FileSystem.WriteMode.OVERWRITE); }
Example 5
Source File: Prepare.java From flink-perf with Apache License 2.0 | 5 votes |
public static void main(final String[] args) throws Exception { // set up the execution environment final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); DataSet<String> text = env.readTextFile(args[0]); DataSet<AvroLineitem> avro = text.map(new AvroLineItemMapper()); avro.write(new AvroOutputFormat<AvroLineitem>(AvroLineitem.class), args[1]); env.execute("Lineitem Text 2 Avro converter"); }