Examples with TypedSchemaRepository org.schemarepo.api.TypedSchemaRepository used on opensource projects

Example 1 with TypedSchemaRepository

use of org.schemarepo.api.TypedSchemaRepository in project druid by druid-io.

the class AvroStreamInputFormatTest method testParse.

@Test
public void testParse() throws SchemaValidationException, IOException {
    Repository repository = new InMemoryRepository(null);
    AvroStreamInputFormat inputFormat = new AvroStreamInputFormat(flattenSpec, new SchemaRepoBasedAvroBytesDecoder<>(new Avro1124SubjectAndIdConverter(TOPIC), repository), false, false);
    NestedInputFormat inputFormat2 = jsonMapper.readValue(jsonMapper.writeValueAsString(inputFormat), NestedInputFormat.class);
    repository = ((SchemaRepoBasedAvroBytesDecoder) ((AvroStreamInputFormat) inputFormat2).getAvroBytesDecoder()).getSchemaRepository();
    // prepare data
    GenericRecord someAvroDatum = buildSomeAvroDatum();
    // encode schema id
    Avro1124SubjectAndIdConverter converter = new Avro1124SubjectAndIdConverter(TOPIC);
    TypedSchemaRepository<Integer, Schema, String> repositoryClient = new TypedSchemaRepository<>(repository, new IntegerConverter(), new AvroSchemaConverter(), new IdentityConverter());
    Integer id = repositoryClient.registerSchema(TOPIC, SomeAvroDatum.getClassSchema());
    ByteBuffer byteBuffer = ByteBuffer.allocate(4);
    converter.putSubjectAndId(id, byteBuffer);
    ByteArrayOutputStream out = new ByteArrayOutputStream();
    out.write(byteBuffer.array());
    // encode data
    DatumWriter<GenericRecord> writer = new SpecificDatumWriter<>(someAvroDatum.getSchema());
    // write avro datum to bytes
    writer.write(someAvroDatum, EncoderFactory.get().directBinaryEncoder(out, null));
    final ByteEntity entity = new ByteEntity(ByteBuffer.wrap(out.toByteArray()));
    InputRow inputRow = inputFormat2.createReader(new InputRowSchema(timestampSpec, dimensionsSpec, null), entity, null).read().next();
    assertInputRowCorrect(inputRow, DIMENSIONS, false);
}

Example 2 with TypedSchemaRepository

use of org.schemarepo.api.TypedSchemaRepository in project druid by druid-io.

the class AvroStreamInputRowParserTest method testParse.

@Test
public void testParse() throws SchemaValidationException, IOException {
    // serde test
    Repository repository = new InMemoryRepository(null);
    AvroStreamInputRowParser parser = new AvroStreamInputRowParser(PARSE_SPEC, new SchemaRepoBasedAvroBytesDecoder<String, Integer>(new Avro1124SubjectAndIdConverter(TOPIC), repository));
    ByteBufferInputRowParser parser2 = jsonMapper.readValue(jsonMapper.writeValueAsString(parser), ByteBufferInputRowParser.class);
    repository = ((SchemaRepoBasedAvroBytesDecoder) ((AvroStreamInputRowParser) parser2).getAvroBytesDecoder()).getSchemaRepository();
    // prepare data
    GenericRecord someAvroDatum = buildSomeAvroDatum();
    // encode schema id
    Avro1124SubjectAndIdConverter converter = new Avro1124SubjectAndIdConverter(TOPIC);
    TypedSchemaRepository<Integer, Schema, String> repositoryClient = new TypedSchemaRepository<Integer, Schema, String>(repository, new IntegerConverter(), new AvroSchemaConverter(), new IdentityConverter());
    Integer id = repositoryClient.registerSchema(TOPIC, SomeAvroDatum.getClassSchema());
    ByteBuffer byteBuffer = ByteBuffer.allocate(4);
    converter.putSubjectAndId(TOPIC, id, byteBuffer);
    ByteArrayOutputStream out = new ByteArrayOutputStream();
    out.write(byteBuffer.array());
    // encode data
    DatumWriter<GenericRecord> writer = new GenericDatumWriter<GenericRecord>(someAvroDatum.getSchema());
    // write avro datum to bytes
    writer.write(someAvroDatum, EncoderFactory.get().directBinaryEncoder(out, null));
    InputRow inputRow = parser2.parse(ByteBuffer.wrap(out.toByteArray()));
    assertInputRowCorrect(inputRow);
}

Example 3 with TypedSchemaRepository

use of org.schemarepo.api.TypedSchemaRepository in project druid by druid-io.

the class AvroStreamInputRowParserTest method testParseSchemaless.

@Test
public void testParseSchemaless() throws SchemaValidationException, IOException {
    // serde test
    Repository repository = new InMemoryRepository(null);
    AvroStreamInputRowParser parser = new AvroStreamInputRowParser(PARSE_SPEC_SCHEMALESS, new SchemaRepoBasedAvroBytesDecoder<>(new Avro1124SubjectAndIdConverter(TOPIC), repository), false, false);
    ByteBufferInputRowParser parser2 = jsonMapper.readValue(jsonMapper.writeValueAsString(parser), ByteBufferInputRowParser.class);
    repository = ((SchemaRepoBasedAvroBytesDecoder) ((AvroStreamInputRowParser) parser2).getAvroBytesDecoder()).getSchemaRepository();
    // prepare data
    GenericRecord someAvroDatum = buildSomeAvroDatum();
    // encode schema id
    Avro1124SubjectAndIdConverter converter = new Avro1124SubjectAndIdConverter(TOPIC);
    TypedSchemaRepository<Integer, Schema, String> repositoryClient = new TypedSchemaRepository<>(repository, new IntegerConverter(), new AvroSchemaConverter(), new IdentityConverter());
    Integer id = repositoryClient.registerSchema(TOPIC, SomeAvroDatum.getClassSchema());
    ByteBuffer byteBuffer = ByteBuffer.allocate(4);
    converter.putSubjectAndId(id, byteBuffer);
    try (ByteArrayOutputStream out = new ByteArrayOutputStream()) {
        out.write(byteBuffer.array());
        // encode data
        DatumWriter<GenericRecord> writer = new SpecificDatumWriter<>(someAvroDatum.getSchema());
        // write avro datum to bytes
        writer.write(someAvroDatum, EncoderFactory.get().directBinaryEncoder(out, null));
        InputRow inputRow = parser2.parseBatch(ByteBuffer.wrap(out.toByteArray())).get(0);
        assertInputRowCorrect(inputRow, DIMENSIONS_SCHEMALESS, false);
    }
}

Example 4 with TypedSchemaRepository

use of org.schemarepo.api.TypedSchemaRepository in project druid by druid-io.

the class AvroStreamInputRowParserTest method testParse.

@Test
public void testParse() throws SchemaValidationException, IOException {
    // serde test
    Repository repository = new InMemoryRepository(null);
    AvroStreamInputRowParser parser = new AvroStreamInputRowParser(PARSE_SPEC, new SchemaRepoBasedAvroBytesDecoder<>(new Avro1124SubjectAndIdConverter(TOPIC), repository), false, false);
    ByteBufferInputRowParser parser2 = jsonMapper.readValue(jsonMapper.writeValueAsString(parser), ByteBufferInputRowParser.class);
    repository = ((SchemaRepoBasedAvroBytesDecoder) ((AvroStreamInputRowParser) parser2).getAvroBytesDecoder()).getSchemaRepository();
    // prepare data
    GenericRecord someAvroDatum = buildSomeAvroDatum();
    // encode schema id
    Avro1124SubjectAndIdConverter converter = new Avro1124SubjectAndIdConverter(TOPIC);
    TypedSchemaRepository<Integer, Schema, String> repositoryClient = new TypedSchemaRepository<>(repository, new IntegerConverter(), new AvroSchemaConverter(), new IdentityConverter());
    Integer id = repositoryClient.registerSchema(TOPIC, SomeAvroDatum.getClassSchema());
    ByteBuffer byteBuffer = ByteBuffer.allocate(4);
    converter.putSubjectAndId(id, byteBuffer);
    ByteArrayOutputStream out = new ByteArrayOutputStream();
    out.write(byteBuffer.array());
    // encode data
    DatumWriter<GenericRecord> writer = new SpecificDatumWriter<>(someAvroDatum.getSchema());
    // write avro datum to bytes
    writer.write(someAvroDatum, EncoderFactory.get().directBinaryEncoder(out, null));
    InputRow inputRow = parser2.parseBatch(ByteBuffer.wrap(out.toByteArray())).get(0);
    assertInputRowCorrect(inputRow, DIMENSIONS, false);
}

Example 5 with TypedSchemaRepository

use of org.schemarepo.api.TypedSchemaRepository in project druid by druid-io.

the class AvroStreamInputFormatTest method testParseSchemaless.

@Test
public void testParseSchemaless() throws SchemaValidationException, IOException {
    Repository repository = new InMemoryRepository(null);
    AvroStreamInputFormat inputFormat = new AvroStreamInputFormat(flattenSpec, new SchemaRepoBasedAvroBytesDecoder<>(new Avro1124SubjectAndIdConverter(TOPIC), repository), false, false);
    NestedInputFormat inputFormat2 = jsonMapper.readValue(jsonMapper.writeValueAsString(inputFormat), NestedInputFormat.class);
    repository = ((SchemaRepoBasedAvroBytesDecoder) ((AvroStreamInputFormat) inputFormat2).getAvroBytesDecoder()).getSchemaRepository();
    // prepare data
    GenericRecord someAvroDatum = buildSomeAvroDatum();
    // encode schema id
    Avro1124SubjectAndIdConverter converter = new Avro1124SubjectAndIdConverter(TOPIC);
    TypedSchemaRepository<Integer, Schema, String> repositoryClient = new TypedSchemaRepository<>(repository, new IntegerConverter(), new AvroSchemaConverter(), new IdentityConverter());
    Integer id = repositoryClient.registerSchema(TOPIC, SomeAvroDatum.getClassSchema());
    ByteBuffer byteBuffer = ByteBuffer.allocate(4);
    converter.putSubjectAndId(id, byteBuffer);
    try (ByteArrayOutputStream out = new ByteArrayOutputStream()) {
        out.write(byteBuffer.array());
        // encode data
        DatumWriter<GenericRecord> writer = new SpecificDatumWriter<>(someAvroDatum.getSchema());
        // write avro datum to bytes
        writer.write(someAvroDatum, EncoderFactory.get().directBinaryEncoder(out, null));
        final ByteEntity entity = new ByteEntity(ByteBuffer.wrap(out.toByteArray()));
        InputRow inputRow = inputFormat2.createReader(new InputRowSchema(timestampSpec, DimensionsSpec.EMPTY, null), entity, null).read().next();
        assertInputRowCorrect(inputRow, DIMENSIONS_SCHEMALESS, false);
    }
}