Java CachedSchemaRegistryClient类代码示例

import io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient; //导入依赖的package包/类
@Override public KafkaProducer configureKafkaProducer(Properties producerProps) {
  String schemaRegistryUrl;
  Integer identityMapCapacity;

  if (producerProps.containsKey(KAFKA_SCHEMA_REGISTRY_URL_FIELD)) {
    schemaRegistryUrl = (String) producerProps.get(KAFKA_SCHEMA_REGISTRY_URL_FIELD);
  }
  else {
    throw new IllegalArgumentException("Field " + KAFKA_SCHEMA_REGISTRY_URL_FIELD + " required.");
  }

  if (producerProps.containsKey(KAFKA_SCHEMA_REGISTRY_IDENTITY_MAP_CAPACITY_FIELD)) {
    identityMapCapacity = (Integer) producerProps.get(KAFKA_SCHEMA_REGISTRY_IDENTITY_MAP_CAPACITY_FIELD);
  }
  else {
    identityMapCapacity = 100;
  }

  CachedSchemaRegistryClient client = new CachedSchemaRegistryClient(schemaRegistryUrl, identityMapCapacity);
  KafkaAvroSerializer serializer = new KafkaAvroSerializer(client);
  return new KafkaProducer<Object, Object>(producerProps, serializer, serializer);
}
 

import io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient; //导入依赖的package包/类
/**
 * AvroSchemaHelper constructor. DataFactory settings should be passed in for parsing.
 * @param settings DataFactory settings.
 */
public AvroSchemaHelper(DataFactory.Settings settings) {
  final List<String> schemaRepoUrls = settings.getConfig(SCHEMA_REPO_URLS_KEY);
  final Object schemaSource = settings.getConfig(SCHEMA_SOURCE_KEY);
  final boolean registerSchema = settings.getConfig(REGISTER_SCHEMA_KEY);
  final boolean schemaFromRegistry =
      schemaSource == DestinationAvroSchemaSource.REGISTRY ||
      schemaSource == OriginAvroSchemaSource.REGISTRY;

  // KafkaTargetConfig passes schema repo URLs in SCHEMA_REPO_URLS_KEY regardless of whether they are
  // for schema source or schema registration, since the two are mutually exclusive
  if ((schemaFromRegistry || registerSchema) && !schemaRepoUrls.isEmpty()) {
    registryClient = new CachedSchemaRegistryClient(schemaRepoUrls, 1000);
  } else {
    registryClient = null;
  }

  // Small cache to avoid going to Schema repository all the time
  schemaIdCache = CacheBuilder.newBuilder()
    .maximumSize(100)
    .build();
}
 

import io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient; //导入依赖的package包/类
@Override
public String deserialize(byte[] message) {
    if (kafkaAvroDecoder == null) {
        SchemaRegistryClient schemaRegistry = new CachedSchemaRegistryClient(this.schemaRegistryUrl, this.identityMapCapacity);
        this.kafkaAvroDecoder = new KafkaAvroDecoder(schemaRegistry);
    }
    return this.kafkaAvroDecoder.fromBytes(message).toString();
}
 

import io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient; //导入依赖的package包/类
public KafkaRegistry() {
    super();
    
    // get properties
    PropertyManagement properties = PropertyManagement.getProperties();
    targetURL = properties.getProperty(KafkaPublisherPropertyValues.KAFKA_REGISTRY_URL, "http://localhost:8081");
    maxSchemas = properties.asInt(KafkaPublisherPropertyValues.KAFKA_REGISTRY_MAX_SCHEMAS, "1000");
    magic_byte = (byte)(properties.asInt(KafkaPublisherPropertyValues.KAFKA_REGISTRY_MAGIC_BYTE, "0"));
    idSize = properties.asInt(KafkaPublisherPropertyValues.KAFKA_REGISTRY_ID_SIZE, "4");
    
    client = new CachedSchemaRegistryClient(targetURL, maxSchemas);    
}
 

import io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient; //导入依赖的package包/类
@Override
public void configure(Map<String, String> properties) {
  SchemaRegistrySchemaRetrieverConfig config =
      new SchemaRegistrySchemaRetrieverConfig(properties);
  schemaRegistryClient =
      new CachedSchemaRegistryClient(config.getString(config.LOCATION_CONFIG), 0);
  avroData = new AvroData(config.getInt(config.AVRO_DATA_CACHE_SIZE_CONFIG));
}
 

import io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient; //导入依赖的package包/类
public AvroProducer(KsqlConfig ksqlConfig) {
  if (ksqlConfig.getString(KsqlConfig.SCHEMA_REGISTRY_URL_PROPERTY) == null) {
    throw new KsqlException("Schema registry url is not set.");
  }
  this.ksqlConfig = ksqlConfig;
  this.schemaRegistryClient = new CachedSchemaRegistryClient(ksqlConfig.getString(KsqlConfig
                                                                                      .SCHEMA_REGISTRY_URL_PROPERTY), 100);
}
 

import io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient; //导入依赖的package包/类
public SecorSchemaRegistryClient(SecorConfig config) {
    try {
        Properties props = new Properties();
        props.put("schema.registry.url", config.getSchemaRegistryUrl());
        schemaRegistryClient = new CachedSchemaRegistryClient(config.getSchemaRegistryUrl(), 30);
        init(config);
    } catch (Exception e){
        LOG.error("Error initalizing schema registry", e);
        throw new RuntimeException(e);
    }
}
 

import io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient; //导入依赖的package包/类
public ConfluentKafkaSchemaRegistry(Properties props) {
  this(props, new CachedSchemaRegistryClient(props.getProperty(KAFKA_SCHEMA_REGISTRY_URL),
      Integer.parseInt(props.getProperty(CONFLUENT_MAX_SCHEMAS_PER_SUBJECT, String.valueOf(Integer.MAX_VALUE)))));
}
 

import io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient; //导入依赖的package包/类
public KsqlEngine(final KsqlConfig ksqlConfig, final KafkaTopicClient topicClient) {

    this(ksqlConfig, topicClient, new CachedSchemaRegistryClient((String) ksqlConfig.get(KsqlConfig.SCHEMA_REGISTRY_URL_PROPERTY), 1000));
  }