@Test
public void testAvroScheme() {
byte[] byteArray = {
12, 109, 121, 112, 105, 112, 101, 14, 116, 101, 115, 116, 105, 110, 103, -96, 1, 4, 4, 105,
100, 18, 10, 115, 99, 111, 114, 101, -56, 1, 0, 8, 14, 115, 117, 98, 106, 101, 99, 116, 16,
114, 101, 108, 105, 103, 105, 111, 110, 16, 108, 97, 115, 116, 110, 97, 109, 101, 10, 115,
116, 97, 109, 109, 18, 102, 105, 114, 115, 116, 110, 97, 109, 101, 14, 114, 111, 115, 97, 110,
110, 101, 8, 100, 97, 116, 101, 20, 50, 48, 49, 52, 45, 49, 48, 45, 50, 50, 0, 0
};
try {
SpecificDatumReader<InsertMutation> reader =
new SpecificDatumReader<>(InsertMutation.getClassSchema());
Decoder decoder = DecoderFactory.get().binaryDecoder(byteArray, null);
InsertMutation insertMutation = reader.read(null, decoder);
LOG.info("ENTRY: " + insertMutation.toString());
LOG.info("DATABASE NAME: " + insertMutation.getDatabase());
assertEquals("mypipe", insertMutation.getDatabase().toString());
LOG.info("TABLE NAME: " + insertMutation.getTable());
assertEquals("testing", insertMutation.getTable().toString());
LOG.info("ID: " + AvroSchemaUtils.getIntegerValueByKey(insertMutation.getIntegers(), "id"));
assertEquals(
9, (int) AvroSchemaUtils.getIntegerValueByKey(insertMutation.getIntegers(), "id"));
LOG.info(
"FIRST NAME: "
+ AvroSchemaUtils.getStringValueByKey(insertMutation.getStrings(), "firstname"));
assertEquals(
"rosanne", AvroSchemaUtils.getStringValueByKey(insertMutation.getStrings(), "firstname"));
LOG.info(
"LAST NAME: "
+ AvroSchemaUtils.getStringValueByKey(insertMutation.getStrings(), "lastname"));
assertEquals(
"stamm", AvroSchemaUtils.getStringValueByKey(insertMutation.getStrings(), "lastname"));
LOG.info(
"SUBJECT: "
+ AvroSchemaUtils.getStringValueByKey(insertMutation.getStrings(), "subject"));
assertEquals(
"religion", AvroSchemaUtils.getStringValueByKey(insertMutation.getStrings(), "subject"));
LOG.info(
"SCORE: " + AvroSchemaUtils.getIntegerValueByKey(insertMutation.getIntegers(), "score"));
assertEquals(
100, (int) AvroSchemaUtils.getIntegerValueByKey(insertMutation.getIntegers(), "score"));
LOG.info("DATE: " + AvroSchemaUtils.getStringValueByKey(insertMutation.getStrings(), "date"));
assertEquals(
"2014-10-22", AvroSchemaUtils.getStringValueByKey(insertMutation.getStrings(), "date"));
} catch (IOException e) {
e.printStackTrace();
}
}
@Override
public int run(InputStream stdin, PrintStream out, PrintStream err, List<String> args)
throws Exception {
if (args.size() != 2) {
err.println("Expected 2 arguments: schema binary_data_file");
err.println("Use '-' as binary_data_file for stdin.");
return 1;
}
Schema schema = Schema.parse(args.get(0));
InputStream input;
boolean needsClosing;
if (args.get(1).equals("-")) {
input = stdin;
needsClosing = false;
} else {
input = new FileInputStream(args.get(1));
needsClosing = true;
}
try {
DatumReader<Object> reader = new GenericDatumReader<Object>(schema);
Object datum = reader.read(null, DecoderFactory.get().binaryDecoder(input, null));
DatumWriter<Object> writer = new GenericDatumWriter<Object>(schema);
JsonGenerator g = new JsonFactory().createJsonGenerator(out, JsonEncoding.UTF8);
g.useDefaultPrettyPrinter();
writer.write(datum, EncoderFactory.get().jsonEncoder(schema, g));
g.flush();
out.println();
out.flush();
} finally {
if (needsClosing) {
input.close();
}
}
return 0;
}
/**
* Create a deep copy of an Avro value.
*
* @param source The value to be copied
* @return The deep copy of the value
*/
@Override
public T deepCopy(T source) {
if (source == null) {
return null;
}
if (datumReader == null) {
datumReader = createDatumReader(conf);
}
if (datumWriter == null) {
datumWriter = createDatumWriter(conf);
}
ByteArrayOutputStream byteOutStream = new ByteArrayOutputStream();
binaryEncoder = EncoderFactory.get().binaryEncoder(byteOutStream, binaryEncoder);
T target = createCopyTarget();
try {
datumWriter.write(source, binaryEncoder);
binaryEncoder.flush();
binaryDecoder =
DecoderFactory.get().binaryDecoder(byteOutStream.toByteArray(), binaryDecoder);
return datumReader.read(target, binaryDecoder);
} catch (Exception e) {
throw new CrunchRuntimeException("Error while deep copying avro value " + source, e);
}
}
// It is assumed that record has following format.
// byte 1 : version, static 0x1
// byte 2-5 : int schemaId
// remaining bytes would have avro data
@Override
public GenericRecord parse(ByteBuffer bytes) {
if (bytes.remaining() < 5) {
throw new ParseException("record must have at least 5 bytes carrying version and schemaId");
}
byte version = bytes.get();
if (version != V1) {
throw new ParseException("found record of arbitrary version [%s]", version);
}
int schemaId = bytes.getInt();
Schema schemaObj = schemaObjs.get(schemaId);
if (schemaObj == null) {
throw new ParseException("Failed to find schema for id [%s]", schemaId);
}
try {
DatumReader<GenericRecord> reader = new GenericDatumReader<GenericRecord>(schemaObj);
ByteBufferInputStream inputStream =
new ByteBufferInputStream(Collections.singletonList(bytes));
return reader.read(null, DecoderFactory.get().binaryDecoder(inputStream, null));
} catch (Exception e) {
throw new ParseException(e, "Fail to decode avro message with schemaId [%s].", schemaId);
}
}
public Record fromStream(
final InputStream stream, @Nullable final Set<URI> propertiesToDeserialize)
throws IOException {
final Decoder decoder = DecoderFactory.get().directBinaryDecoder(stream, null);
final DatumReader<GenericRecord> reader = new GenericDatumReader<GenericRecord>(Schemas.NODE);
final GenericRecord generic = reader.read(null, decoder);
return decodeRecord(generic, propertiesToDeserialize);
}
public static void checkBinaryJson(String json) throws Exception {
Object node = Json.parseJson(json);
ByteArrayOutputStream out = new ByteArrayOutputStream();
DatumWriter<Object> writer = new Json.ObjectWriter();
Encoder encoder = EncoderFactory.get().binaryEncoder(out, null);
encoder = EncoderFactory.get().validatingEncoder(Json.SCHEMA, encoder);
writer.write(node, encoder);
encoder.flush();
byte[] bytes = out.toByteArray();
DatumReader<Object> reader = new Json.ObjectReader();
Decoder decoder = DecoderFactory.get().binaryDecoder(bytes, null);
decoder = DecoderFactory.get().validatingDecoder(Json.SCHEMA, decoder);
Object decoded = reader.read(null, decoder);
assertEquals("Decoded json does not match.", Json.toString(node), Json.toString(decoded));
}
@Override
public void deserialize(byte[] data, LuceneWorksBuilder hydrator) {
final ByteArrayInputStream inputStream = new ByteArrayInputStream(data);
final int majorVersion = inputStream.read();
final int minorVersion = inputStream.read();
final Protocol protocol = protocols.getProtocol(majorVersion, minorVersion);
Decoder decoder = DecoderFactory.get().binaryDecoder(inputStream, null);
GenericDatumReader<GenericRecord> reader =
new GenericDatumReader<>(protocol.getType("Message"));
GenericRecord result;
try {
result = reader.read(null, decoder);
} catch (IOException e) {
throw log.unableToDeserializeAvroStream(e);
}
classReferences = asListOfString(result, "classReferences");
final List<GenericRecord> operations = asListOfGenericRecords(result, "operations");
final ConversionContext conversionContext = new ContextualExceptionBridgeHelper();
for (GenericRecord operation : operations) {
String schema = operation.getSchema().getName();
if ("OptimizeAll".equals(schema)) {
hydrator.addOptimizeAll();
} else if ("PurgeAll".equals(schema)) {
hydrator.addPurgeAllLuceneWork(asClass(operation, "class"));
} else if ("Flush".equals(schema)) {
hydrator.addFlush();
} else if ("Delete".equals(schema)) {
processId(operation, hydrator);
hydrator.addDeleteLuceneWork(asClass(operation, "class"), conversionContext);
} else if ("DeleteByQuery".equals(schema)) {
String entityClassName = asClass(operation, "class");
int queryKey = asInt(operation, "key");
DeleteByQuerySupport.StringToQueryMapper mapper =
DeleteByQuerySupport.getStringToQueryMapper(queryKey);
List<Utf8> stringList = asListOfString(operation, "query");
String[] query = new String[stringList.size()];
for (int i = 0; i < stringList.size(); ++i) {
query[i] = stringList.get(i).toString();
}
hydrator.addDeleteByQueryLuceneWork(entityClassName, mapper.fromString(query));
} else if ("Add".equals(schema)) {
buildLuceneDocument(asGenericRecord(operation, "document"), hydrator);
Map<String, String> analyzers = getAnalyzers(operation);
processId(operation, hydrator);
hydrator.addAddLuceneWork(asClass(operation, "class"), analyzers, conversionContext);
} else if ("Update".equals(schema)) {
buildLuceneDocument(asGenericRecord(operation, "document"), hydrator);
Map<String, String> analyzers = getAnalyzers(operation);
processId(operation, hydrator);
hydrator.addUpdateLuceneWork(asClass(operation, "class"), analyzers, conversionContext);
} else {
throw log.cannotDeserializeOperation(schema);
}
}
}
@Test(expected = AvroTypeException.class)
public void testNoDefaultField() throws Exception {
Schema expected =
Schema.parse(
"{\"type\":\"record\", \"name\":\"Foo\", \"fields\":"
+ "[{\"name\":\"f\", \"type\": \"string\"}]}");
DatumReader<Object> in = new GenericDatumReader<Object>(ACTUAL, expected);
in.read(null, DecoderFactory.get().binaryDecoder(new ByteArrayInputStream(new byte[0]), null));
}
/**
* Create a new Event Reader
*
* @param in
* @throws IOException
*/
@SuppressWarnings("deprecation")
public EventReader(DataInputStream in) throws IOException {
this.in = in;
this.version = in.readLine();
if (!EventWriter.VERSION.equals(version)) {
throw new IOException("Incompatible event log version: " + version);
}
this.schema = Schema.parse(in.readLine());
this.reader = new SpecificDatumReader(schema);
this.decoder = DecoderFactory.get().jsonDecoder(schema, in);
}
public URI expandURI(final byte[] bytes) {
Preconditions.checkNotNull(bytes);
try {
final InputStream stream = new ByteArrayInputStream(bytes);
final Decoder decoder = DecoderFactory.get().directBinaryDecoder(stream, null);
final DatumReader<Object> reader =
new GenericDatumReader<Object>(Schemas.COMPRESSED_IDENTIFIER);
final Object generic = reader.read(null, decoder);
return (URI) decodeNode(generic);
} catch (final IOException ex) {
throw new Error("Unexpected exception (!): " + ex.getMessage(), ex);
}
}
public static void checkBlockingBinary(
Schema schema, Object datum, DatumWriter<Object> writer, DatumReader<Object> reader)
throws IOException {
ByteArrayOutputStream out = new ByteArrayOutputStream();
writer.setSchema(schema);
Encoder encoder = EncoderFactory.get().blockingBinaryEncoder(out, null);
writer.write(datum, encoder);
encoder.flush();
byte[] data = out.toByteArray();
reader.setSchema(schema);
Object decoded = reader.read(null, DecoderFactory.get().binaryDecoder(data, null));
assertEquals("Decoded data does not match.", datum, decoded);
}
private static void checkDefault(String schemaJson, String defaultJson, Object defaultValue)
throws Exception {
String recordJson =
"{\"type\":\"record\", \"name\":\"Foo\", \"fields\":[{\"name\":\"f\", "
+ "\"type\":"
+ schemaJson
+ ", "
+ "\"default\":"
+ defaultJson
+ "}]}";
Schema expected = Schema.parse(recordJson);
DatumReader<Object> in = new GenericDatumReader<Object>(ACTUAL, expected);
GenericData.Record record =
(GenericData.Record) in.read(null, DecoderFactory.get().binaryDecoder(new byte[0], null));
assertEquals("Wrong default.", defaultValue, record.get("f"));
assertEquals("Wrong toString", expected, Schema.parse(expected.toString()));
}
private static void checkJson(Schema schema, Object datum, String json) throws Exception {
ByteArrayOutputStream out = new ByteArrayOutputStream();
Encoder encoder = EncoderFactory.get().jsonEncoder(schema, out);
DatumWriter<Object> writer = new GenericDatumWriter<Object>();
writer.setSchema(schema);
writer.write(datum, encoder);
encoder.flush();
byte[] data = out.toByteArray();
String encoded = new String(data, "UTF-8");
assertEquals("Encoded data does not match.", json, encoded);
DatumReader<Object> reader = new GenericDatumReader<Object>();
reader.setSchema(schema);
Object decoded =
reader.read(null, DecoderFactory.get().jsonDecoder(schema, new ByteArrayInputStream(data)));
assertEquals("Decoded data does not match.", datum, decoded);
}
private void parseTopics() {
if (state.getProperty(TOPIC_LIST) != null) {
byte[] data = base64.decodeBase64(state.getProperty(TOPIC_LIST));
BinaryDecoder decoder = DecoderFactory.get().binaryDecoder(data, null);
SpecificDatumReader<Topic> avroReader = new SpecificDatumReader<>(Topic.class);
try { // NOSONAR
Topic decodedTopic;
while (!decoder.isEnd()) {
decodedTopic = avroReader.read(null, decoder);
LOG.debug("Loaded {}", decodedTopic);
topicMap.put(decodedTopic.getId(), decodedTopic);
}
} catch (Exception e) {
LOG.error("Unexpected exception occurred while reading information from decoder", e);
}
} else {
LOG.info("No topic list found in state");
}
}
private static void checkJson(
Schema schema, Object datum, DatumWriter<Object> writer, DatumReader<Object> reader)
throws IOException {
ByteArrayOutputStream out = new ByteArrayOutputStream();
Encoder encoder = EncoderFactory.get().jsonEncoder(schema, out);
writer.setSchema(schema);
writer.write(datum, encoder);
writer.write(datum, encoder);
encoder.flush();
byte[] data = out.toByteArray();
reader.setSchema(schema);
Decoder decoder = DecoderFactory.get().jsonDecoder(schema, new ByteArrayInputStream(data));
Object decoded = reader.read(null, decoder);
assertEquals("Decoded data does not match.", datum, decoded);
decoded = reader.read(decoded, decoder);
assertEquals("Decoded data does not match.", datum, decoded);
}
@Test
public void testEnumMismatch() throws Exception {
Schema actual = Schema.parse("{\"type\":\"enum\",\"name\":\"E\",\"symbols\":[\"X\",\"Y\"]}");
Schema expected = Schema.parse("{\"type\":\"enum\",\"name\":\"E\",\"symbols\":[\"Y\",\"Z\"]}");
ByteArrayOutputStream out = new ByteArrayOutputStream();
DatumWriter<Object> writer = new GenericDatumWriter<Object>(actual);
Encoder encoder = EncoderFactory.get().directBinaryEncoder(out, null);
writer.write(new GenericData.EnumSymbol(actual, "Y"), encoder);
writer.write(new GenericData.EnumSymbol(actual, "X"), encoder);
encoder.flush();
byte[] data = out.toByteArray();
Decoder decoder = DecoderFactory.get().binaryDecoder(data, null);
DatumReader<String> in = new GenericDatumReader<String>(actual, expected);
assertEquals("Wrong value", new GenericData.EnumSymbol(expected, "Y"), in.read(null, decoder));
try {
in.read(null, decoder);
fail("Should have thrown exception.");
} catch (AvroTypeException e) {
// expected
}
}
public void serializeGeneric() throws IOException {
// Create a datum to serialize.
Schema schema = new Schema.Parser().parse(getClass().getResourceAsStream("/MyPair.avsc"));
GenericRecord datum = new GenericData.Record(schema);
datum.put("left", new Utf8("dog"));
datum.put("right", new Utf8("cat"));
// Serialize it.
ByteArrayOutputStream out = new ByteArrayOutputStream();
DatumWriter<GenericRecord> writer = new GenericDatumWriter<GenericRecord>(schema);
Encoder encoder = EncoderFactory.get().binaryEncoder(out, null);
writer.write(datum, encoder);
encoder.flush();
out.close();
System.out.println("Serialization: " + out);
// Deserialize it.
DatumReader<GenericRecord> reader = new GenericDatumReader<GenericRecord>(schema);
BinaryDecoder decoder = DecoderFactory.get().binaryDecoder(out.toByteArray(), null);
GenericRecord result = reader.read(null, decoder);
System.out.printf("Left: %s, Right: %s\n", result.get("left"), result.get("right"));
}
@Test
public void experimentWithAvro() throws Exception {
String root = "org/hibernate/search/remote/codex/avro/v1_1/";
parseSchema(root + "attribute/TokenTrackingAttribute.avro", "attribute/TokenTrackingAttribute");
parseSchema(root + "attribute/CharTermAttribute.avro", "attribute/CharTermAttribute");
parseSchema(root + "attribute/PayloadAttribute.avro", "attribute/PayloadAttribute");
parseSchema(root + "attribute/KeywordAttribute.avro", "attribute/KeywordAttribute");
parseSchema(
root + "attribute/PositionIncrementAttribute.avro", "attribute/PositionIncrementAttribute");
parseSchema(root + "attribute/FlagsAttribute.avro", "attribute/FlagsAttribute");
parseSchema(root + "attribute/TypeAttribute.avro", "attribute/TypeAttribute");
parseSchema(root + "attribute/OffsetAttribute.avro", "attribute/OffsetAttribute");
parseSchema(root + "field/TermVector.avro", "field/TermVector");
parseSchema(root + "field/Index.avro", "field/Index");
parseSchema(root + "field/Store.avro", "field/Store");
parseSchema(root + "field/TokenStreamField.avro", "field/TokenStreamField");
parseSchema(root + "field/ReaderField.avro", "field/ReaderField");
parseSchema(root + "field/StringField.avro", "field/StringField");
parseSchema(root + "field/BinaryField.avro", "field/BinaryField");
parseSchema(root + "field/NumericIntField.avro", "field/NumericIntField");
parseSchema(root + "field/NumericLongField.avro", "field/NumericLongField");
parseSchema(root + "field/NumericFloatField.avro", "field/NumericFloatField");
parseSchema(root + "field/NumericDoubleField.avro", "field/NumericDoubleField");
parseSchema(root + "field/CustomFieldable.avro", "field/CustomFieldable");
parseSchema(root + "Document.avro", "Document");
parseSchema(root + "operation/Id.avro", "operation/Id");
parseSchema(root + "operation/OptimizeAll.avro", "operation/OptimizeAll");
parseSchema(root + "operation/PurgeAll.avro", "operation/PurgeAll");
parseSchema(root + "operation/Flush.avro", "operation/Flush");
parseSchema(root + "operation/Delete.avro", "operation/Delete");
parseSchema(root + "operation/Add.avro", "operation/Add");
parseSchema(root + "operation/Update.avro", "operation/Update");
parseSchema(root + "Message.avro", "Message");
String filename = root + "Works.avpr";
Protocol protocol = parseProtocol(filename, "Works");
final Schema termVectorSchema = protocol.getType("TermVector");
final Schema indexSchema = protocol.getType("Index");
final Schema storeSchema = protocol.getType("Store");
final Schema tokenTrackingAttribute = protocol.getType("TokenTrackingAttribute");
final Schema tokenStreamSchema = protocol.getType("TokenStreamField");
final Schema readerSchema = protocol.getType("ReaderField");
final Schema stringSchema = protocol.getType("StringField");
final Schema binarySchema = protocol.getType("BinaryField");
final Schema intFieldSchema = protocol.getType("NumericIntField");
final Schema longFieldSchema = protocol.getType("NumericLongField");
final Schema floatFieldSchema = protocol.getType("NumericFloatField");
final Schema doubleFieldSchema = protocol.getType("NumericDoubleField");
final Schema custonFieldableSchema = protocol.getType("CustomFieldable");
final Schema documentSchema = protocol.getType("Document");
final Schema idSchema = protocol.getType("Id");
final Schema optimizeAllSchema = protocol.getType("OptimizeAll");
final Schema purgeAllSchema = protocol.getType("PurgeAll");
final Schema flushSchema = protocol.getType("Flush");
final Schema deleteSchema = protocol.getType("Delete");
final Schema addSchema = protocol.getType("Add");
final Schema updateSchema = protocol.getType("Update");
Schema messageSchema = protocol.getType("Message");
final ByteArrayOutputStream out = new ByteArrayOutputStream();
GenericDatumWriter<GenericRecord> writer = new GenericDatumWriter<GenericRecord>(messageSchema);
Encoder encoder = EncoderFactory.get().directBinaryEncoder(out, null);
byte[] serializableSample = new byte[10];
for (int i = 0; i < 10; i++) {
serializableSample[i] = (byte) i;
}
List<String> classReferences = new ArrayList<String>();
classReferences.add(AvroTest.class.getName());
List<GenericRecord> fieldables = new ArrayList<GenericRecord>(1);
// custom fieldable
GenericRecord customFieldable = new GenericData.Record(custonFieldableSchema);
customFieldable.put("instance", ByteBuffer.wrap(serializableSample));
fieldables.add(customFieldable);
// numeric fields
GenericRecord numericField = createNumeric(intFieldSchema);
numericField.put("value", 3);
fieldables.add(numericField);
numericField = createNumeric(longFieldSchema);
numericField.put("value", 3l);
fieldables.add(numericField);
numericField = createNumeric(floatFieldSchema);
numericField.put("value", 2.3f);
fieldables.add(numericField);
numericField = createNumeric(doubleFieldSchema);
numericField.put("value", 2.3d);
fieldables.add(numericField);
// fields
GenericRecord field = createField(binarySchema);
field.put("offset", 0);
field.put("length", 10);
field.put("value", ByteBuffer.wrap(serializableSample));
fieldables.add(field);
field = createField(stringSchema);
field.put("value", stringSchema.getName());
field.put("store", "YES");
field.put("index", "ANALYZED");
field.put("termVector", "WITH_OFFSETS");
fieldables.add(field);
field = createField(tokenStreamSchema);
List<List<Object>> tokens = new ArrayList<List<Object>>();
List<Object> attrs = new ArrayList<Object>();
tokens.add(attrs);
GenericData.Record attr = new GenericData.Record(tokenTrackingAttribute);
List<Integer> positions = new ArrayList<Integer>();
positions.add(1);
positions.add(2);
positions.add(3);
positions.add(4);
attr.put("positions", positions);
attrs.add(attr);
attrs.add(ByteBuffer.wrap(serializableSample));
field.put("value", tokens);
field.put("termVector", "WITH_OFFSETS");
fieldables.add(field);
field = createField(readerSchema);
field.put("value", ByteBuffer.wrap(serializableSample));
field.put("termVector", "WITH_OFFSETS");
fieldables.add(field);
GenericRecord doc = new GenericData.Record(documentSchema);
doc.put("boost", 2.3f);
doc.put("fieldables", fieldables);
GenericRecord add = new GenericData.Record(addSchema);
add.put("class", classReferences.indexOf(AvroTest.class.getName()));
GenericRecord id = new GenericData.Record(idSchema);
id.put("value", ByteBuffer.wrap(serializableSample));
add.put("id", id);
add.put("document", doc);
Map<String, String> analyzers = new HashMap<String, String>();
analyzers.put("name", "ngram");
analyzers.put("description", "porter");
add.put("fieldToAnalyzerMap", analyzers);
GenericRecord delete = new GenericData.Record(deleteSchema);
delete.put("class", classReferences.indexOf(AvroTest.class.getName()));
id = new GenericData.Record(idSchema);
id.put("value", new Long(30));
delete.put("id", id);
GenericRecord purgeAll = new GenericData.Record(purgeAllSchema);
purgeAll.put("class", classReferences.indexOf(AvroTest.class.getName()));
GenericRecord optimizeAll = new GenericData.Record(optimizeAllSchema);
GenericRecord flush = new GenericData.Record(flushSchema);
List<GenericRecord> operations = new ArrayList<GenericRecord>(1);
operations.add(purgeAll);
operations.add(optimizeAll);
operations.add(flush);
operations.add(delete);
operations.add(add);
GenericRecord message = new GenericData.Record(messageSchema);
message.put("classReferences", classReferences);
message.put("operations", operations);
writer.write(message, encoder);
encoder.flush();
ByteArrayInputStream inputStream = new ByteArrayInputStream(out.toByteArray());
Decoder decoder = DecoderFactory.get().binaryDecoder(inputStream, null);
GenericDatumReader<GenericRecord> reader = new GenericDatumReader<GenericRecord>(messageSchema);
while (true) {
try {
GenericRecord result = reader.read(null, decoder);
System.out.println(result);
assertThat(result).isNotNull();
// operations
assertThat(result.get("operations")).isNotNull().isInstanceOf(List.class);
List<?> ops = (List<?>) result.get("operations");
assertThat(ops).hasSize(5);
// Flush
assertThat(ops.get(2)).isInstanceOf(GenericRecord.class);
GenericRecord flushOp = (GenericRecord) ops.get(2);
assertThat(flushOp.getSchema().getName()).isEqualTo("Flush");
// Delete
assertThat(ops.get(3)).isInstanceOf(GenericRecord.class);
GenericRecord deleteOp = (GenericRecord) ops.get(3);
assertThat(deleteOp.getSchema().getName()).isEqualTo("Delete");
Object actual = ((GenericRecord) deleteOp.get("id")).get("value");
assertThat(actual).isInstanceOf(Long.class);
assertThat(actual).isEqualTo(Long.valueOf(30));
// Add
assertThat(ops.get(4)).isInstanceOf(GenericRecord.class);
GenericRecord addOp = (GenericRecord) ops.get(4);
assertThat(addOp.getSchema().getName()).isEqualTo("Add");
actual = ((GenericRecord) addOp.get("id")).get("value");
assertThat(actual).isInstanceOf(ByteBuffer.class);
ByteBuffer bb = (ByteBuffer) actual;
assertThat(bb.hasArray()).isTrue();
byte[] copy = new byte[bb.remaining()];
bb.get(copy);
assertThat(serializableSample).isEqualTo(copy);
// fieldToAnalyzerMap
assertThat(addOp.get("fieldToAnalyzerMap")).isInstanceOf(Map.class);
assertThat((Map) addOp.get("fieldToAnalyzerMap")).hasSize(2);
// document
assertThat(addOp.get("document")).isNotNull();
GenericRecord document = (GenericRecord) addOp.get("document");
assertThat(document.get("boost")).isEqualTo(2.3f);
// numeric fields
assertThat(document.get("fieldables")).isNotNull().isInstanceOf(List.class);
List<?> fields = (List<?>) document.get("fieldables");
assertThat(fields).hasSize(9); // custom + 4 numerics + 4 fields
field = (GenericRecord) fields.get(0);
assertThat(field.getSchema().getName()).isEqualTo("CustomFieldable");
field = (GenericRecord) fields.get(1);
assertThat(field.getSchema().getName()).isEqualTo("NumericIntField");
assertThat(field.get("value")).isEqualTo(3);
assertNumericField(field);
field = (GenericRecord) fields.get(2);
assertThat(field.getSchema().getName()).isEqualTo("NumericLongField");
assertThat(field.get("value")).isEqualTo(3l);
assertNumericField(field);
field = (GenericRecord) fields.get(3);
assertThat(field.getSchema().getName()).isEqualTo("NumericFloatField");
assertThat(field.get("value")).isEqualTo(2.3f);
assertNumericField(field);
field = (GenericRecord) fields.get(4);
assertThat(field.getSchema().getName()).isEqualTo("NumericDoubleField");
assertThat(field.get("value")).isEqualTo(2.3d);
assertNumericField(field);
// fields
field = (GenericRecord) fields.get(5);
assertThat(field.getSchema().getName()).isEqualTo("BinaryField");
assertThat(field.get("value")).isInstanceOf(ByteBuffer.class);
assertField(field);
field = (GenericRecord) fields.get(6);
assertThat(field.getSchema().getName()).isEqualTo("StringField");
assertThat(field.get("value")).isInstanceOf(Utf8.class);
assertTermVector(field);
assertIndexAndStore(field);
assertField(field);
field = (GenericRecord) fields.get(7);
assertThat(field.getSchema().getName()).isEqualTo("TokenStreamField");
assertThat(field.get("value")).isInstanceOf(List.class);
List<List<Object>> l1 = (List<List<Object>>) field.get("value");
assertThat(l1.get(0)).as("Wrong attribute impl list").hasSize(2);
Object object = l1.get(0).get(0);
assertThat(object).isNotNull();
assertTermVector(field);
assertField(field);
field = (GenericRecord) fields.get(8);
assertThat(field.getSchema().getName()).isEqualTo("ReaderField");
assertThat(field.get("value")).isInstanceOf(ByteBuffer.class);
assertTermVector(field);
assertField(field);
} catch (EOFException eof) {
break;
} catch (Exception ex) {
ex.printStackTrace();
throw ex;
}
}
}
public Object fromStream(final InputStream stream) throws IOException {
final Decoder decoder = DecoderFactory.get().directBinaryDecoder(stream, null);
final DatumReader<Object> reader = new GenericDatumReader<Object>(Schemas.NODE);
final Object generic = reader.read(null, decoder);
return decodeNode(generic);
}