private static final String json = "{" + "\"name\":\"Frank\"," + "\"age\":\"47\"" + "}";
private static final Schema schema1 = new Schema.Parser().parse("{ \"type\":\"record\", \"namespace\":\"foo\", \"name\":\"Person\", \"fields\":[ { \"name\":\"name\", \"type\":\"string\" }, { \"name\":\"age\", \"type\":\"string\" } ] }");
private static final Schema schema2 = new Schema.Parser().setValidate(true).parse("{ \"type\":\"record\", \"namespace\":\"foo\", \"name\":\"Person\", \"fields\":[ { \"name\":\"name\", \"type\":\"string\" }, { \"name\":\"age\", \"type\":\"int\" } ] }");
1)如果我们要使用schema1在json上方进行验证,则应该说为真
2)如果我们要使用schema2在json上方进行验证,则由于“ age”字段根据模式为int,因此应该说为false,但在json中为字符串
public static boolean validateJson(byte[] data, Schema schema) throws Exception {
InputStream input = new ByteArrayInputStream(data);
DataInputStream din = new DataInputStream(input);
GenericDatumReader<Object> reader = null;
Object datum = null;
BinaryDecoder binaryDecoder =
DecoderFactory.get().binaryDecoder(input, null);
try {
reader = new GenericDatumReader<Object>(schema);
DatumWriter<Object> writer = new GenericDatumWriter<Object>(schema);
Decoder decoder = DecoderFactory.get().binaryDecoder(input, null);
reader.read(din, decoder);
return true;
} catch (AvroTypeException e) {
System.out.println(e.getMessage());
return false;
}
}
public static byte[] jsonToAvro(String json, Schema schema) throws IOException {
DatumReader<Object> reader = new GenericDatumReader<>(schema);
GenericDatumWriter<Object> writer = new GenericDatumWriter<>(schema);
ByteArrayOutputStream output = new ByteArrayOutputStream();
Decoder decoder = DecoderFactory.get().jsonDecoder(schema, json);
Encoder encoder = EncoderFactory.get().binaryEncoder(output, null);
Object datum = reader.read(null, decoder);
writer.write(datum, encoder);
encoder.flush();
return output.toByteArray();
}