注解方式
@DefaultSchema(JavaFieldSchema.class)
public class Address {
public final String city;
public final String street;
public final int pincode;
@SchemaCreate
public Address(String city, String street, int pincode) {
super();
this.city = city;
this.street = street;
this.pincode = pincode;
}
}
Avro IO读取文件时,自动推断出Schema信息
通过Row.withSchema设置Schema
Schema appSchema = Schema.builder().addStringField("string1").addInt32Field("int1").build();
Row row1 = Row.withSchema(appSchema).addValues("aaa,bbb", 1).build();
Row row2 = Row.withSchema(appSchema).addValues("ccc,ddd", 2).build();
Row row3 = Row.withSchema(appSchema).addValues("ddd,eee", 3).build();
PCollection<Row> inputTable =
PBegin.in(p).apply(Create.of(row1, row2, row3).withRowSchema(appSchema));
通过PCollection.setSchema/PCollection.setRowSchema设置Schema
Pipeline p = Pipeline.create(options);
PCollection<Object> objs = p.apply(new CustomSource());
Schema type = Schema.builder().addInt32Field("c1").addStringField("c2").addDoubleField("c3").build();
PCollectionTuple.of(new TupleTag<>("somedata"), objs).apply(SqlTransform.query("SELECT c1 FROM somedata")).setSchema(type, SerializableFunctions.identity(), SerializableFunctions.identity());
p.run().waitUntilFinish();
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通过AvroUtils.schemaCoder设置Schema
private static PCollection<GenericRecord> inferSchema(
PCollection<GenericRecord> input, org.apache.avro.Schema schema) {
org.apache.beam.sdk.schemas.Schema beamSchema = AvroUtils.toBeamSchema(schema);
if (!input.hasSchema()) {
input.setCoder(AvroUtils.schemaCoder(schema));
}
return input;
}