public DynamicTableSink createDynamicTableSink()

in flink-connector-kafka/src/main/java/org/apache/flink/streaming/connectors/kafka/table/UpsertKafkaDynamicTableFactory.java [172:223]
42 lines of code
1 McCabe index (conditional complexity)

    public DynamicTableSink createDynamicTableSink(Context context) {
        FactoryUtil.TableFactoryHelper helper =
                FactoryUtil.createTableFactoryHelper(
                        this, autoCompleteSchemaRegistrySubject(context));

        final ReadableConfig tableOptions = helper.getOptions();

        EncodingFormat<SerializationSchema<RowData>> keyEncodingFormat =
                helper.discoverEncodingFormat(SerializationFormatFactory.class, KEY_FORMAT);
        EncodingFormat<SerializationSchema<RowData>> valueEncodingFormat =
                helper.discoverEncodingFormat(SerializationFormatFactory.class, VALUE_FORMAT);

        // Validate the option data type.
        helper.validateExcept(PROPERTIES_PREFIX);
        validateSink(
                tableOptions,
                keyEncodingFormat,
                valueEncodingFormat,
                context.getPrimaryKeyIndexes());
        KafkaConnectorOptionsUtil.validateDeliveryGuarantee(tableOptions);

        Tuple2<int[], int[]> keyValueProjections =
                createKeyValueProjections(context.getCatalogTable());
        final String keyPrefix = tableOptions.getOptional(KEY_FIELDS_PREFIX).orElse(null);
        final Properties properties = getKafkaProperties(context.getCatalogTable().getOptions());

        Integer parallelism = tableOptions.get(SINK_PARALLELISM);

        int batchSize = tableOptions.get(SINK_BUFFER_FLUSH_MAX_ROWS);
        Duration batchInterval = tableOptions.get(SINK_BUFFER_FLUSH_INTERVAL);
        SinkBufferFlushMode flushMode =
                new SinkBufferFlushMode(batchSize, batchInterval.toMillis());

        // use {@link org.apache.kafka.clients.producer.internals.DefaultPartitioner}.
        // it will use hash partition if key is set else in round-robin behaviour.
        return new KafkaDynamicSink(
                context.getPhysicalRowDataType(),
                context.getPhysicalRowDataType(),
                keyEncodingFormat,
                new EncodingFormatWrapper(valueEncodingFormat),
                keyValueProjections.f0,
                keyValueProjections.f1,
                keyPrefix,
                tableOptions.get(TOPIC).get(0),
                properties,
                null,
                tableOptions.get(DELIVERY_GUARANTEE),
                true,
                flushMode,
                parallelism,
                tableOptions.get(TRANSACTIONAL_ID_PREFIX));
    }