Examples with BeamSqlTable org.apache.beam.sdk.extensions.sql.meta.BeamSqlTable used on opensource projects

Example 31 with BeamSqlTable

use of org.apache.beam.sdk.extensions.sql.meta.BeamSqlTable in project beam by apache.

the class KafkaTableProvider method buildBeamSqlTable.

@Override
public BeamSqlTable buildBeamSqlTable(Table table) {
    Schema schema = table.getSchema();
    JSONObject properties = table.getProperties();
    Optional<ParsedLocation> parsedLocation = Optional.empty();
    if (!Strings.isNullOrEmpty(table.getLocation())) {
        parsedLocation = Optional.of(parseLocation(checkArgumentNotNull(table.getLocation())));
    }
    List<String> topics = mergeParam(parsedLocation.map(loc -> loc.topic), properties.getJSONArray("topics"));
    List<String> allBootstrapServers = mergeParam(parsedLocation.map(loc -> loc.brokerLocation), properties.getJSONArray("bootstrap_servers"));
    String bootstrapServers = String.join(",", allBootstrapServers);
    Optional<String> payloadFormat = properties.containsKey("format") ? Optional.of(properties.getString("format")) : Optional.empty();
    if (Schemas.isNestedSchema(schema)) {
        Optional<PayloadSerializer> serializer = payloadFormat.map(format -> PayloadSerializers.getSerializer(format, checkArgumentNotNull(schema.getField(PAYLOAD_FIELD).getType().getRowSchema()), properties.getInnerMap()));
        return new NestedPayloadKafkaTable(schema, bootstrapServers, topics, serializer);
    } else {
        /*
       * CSV is handled separately because multiple rows can be produced from a single message, which
       * adds complexity to payload extraction. It remains here and as the default because it is the
       * historical default, but it will not be extended to support attaching extended attributes to
       * rows.
       */
        if (payloadFormat.orElse("csv").equals("csv")) {
            return new BeamKafkaCSVTable(schema, bootstrapServers, topics);
        }
        PayloadSerializer serializer = PayloadSerializers.getSerializer(payloadFormat.get(), schema, properties.getInnerMap());
        return new PayloadSerializerKafkaTable(schema, bootstrapServers, topics, serializer);
    }
}