【发布时间】:2019-04-25 14:16:32
【问题描述】:
我按照在Beam documentation中写入AVRO文件的例子。但它在p.run().waitUntilFinish() 步骤给了我一个错误Caused by: java.io.NotSerializableException: org.apache.avro.Schema$RecordSchema。但是,如果我从 AVRO 文件中读取并将其写入另一个 AVRO 输出,则它可以正常工作。我的目标是从任意输入源编写 AVRO 文件。有没有人见过类似的问题?你是怎么解决的?
public class WriteAvro {
public interface CsvToAvroOptions extends PipelineOptions {
@Description("Path of the file to read from")
@Default.String("test.avro")
String getInputFile();
void setInputFile(String value);
}
static void run(CsvToAvroOptions options) throws IOException {
final Schema schema = new Schema.Parser().parse(Resources.getResource("person.avsc").openStream());
Pipeline p = Pipeline.create(options);
// This works fine
// PCollection<GenericRecord> input = p.apply(AvroIO.readGenericRecords(schema).from(options.getInputFile()));
// This doesn't work
PCollection<GenericRecord> input =
p.apply("ReadLines", TextIO.read().from(options.getInputFile()))
.apply(ParDo.of(new DoFn<String, GenericRecord>() {
@ProcessElement
public void processElement(ProcessContext c) {
GenericRecord record = new GenericData.Record(schema);
record.put("name", "John Doe");
record.put("age", 42);
record.put("siblingnames", Lists.newArrayList("Jimmy", "Jane"));
c.output(record);
}
}))
.setCoder(AvroCoder.of(GenericRecord.class, schema));
input.apply(AvroIO.writeGenericRecords(schema).to("prefix"));
p.run().waitUntilFinish();
}
public static void main(String[] args) throws IOException {
CsvToAvroOptions options =
PipelineOptionsFactory.fromArgs(args).withValidation().as(CsvToAvroOptions.class);
run(options);
}
}
- Beam 版本:2.11.0
- 亚军:直接亚军
【问题讨论】:
标签: java google-cloud-dataflow apache-beam avro