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/*
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.starrocks.connector.flink;

import com.starrocks.connector.flink.row.sink.StarRocksGenericRowTransformer;
import com.starrocks.connector.flink.row.sink.StarRocksIRowTransformer;
import com.starrocks.connector.flink.row.sink.StarRocksSinkRowBuilder;
import com.starrocks.connector.flink.table.sink.SinkFunctionFactory;
import com.starrocks.connector.flink.table.sink.StarRocksSinkOptions;
import org.apache.flink.streaming.api.functions.sink.SinkFunction;
import org.apache.flink.table.api.TableSchema;

public class StarRocksSink {

    /**
     * Create a StarRocks DataStream sink.
     * 

* Note: the objects passed to the return sink can be processed in batch and retried. * Therefore, objects can not be {@link org.apache.flink.api.common.ExecutionConfig#enableObjectReuse() reused}. *

* * @param flinkTableSchema TableSchema of the all columns with DataType * @param sinkOptions StarRocksSinkOptions as the document listed, such as jdbc-url, load-url, batch size and maximum retries * @param rowDataTransformer StarRocksSinkRowBuilder which would be used to transform the upstream record. * @param type of data in {@link org.apache.flink.streaming.runtime.streamrecord.StreamRecord StreamRecord}. * @return SinkFunction SinkFunction that could be add to a stream. */ public static SinkFunction sink( TableSchema flinkTableSchema, StarRocksSinkOptions sinkOptions, StarRocksSinkRowBuilder rowDataTransformer) { StarRocksIRowTransformer rowTransformer = new StarRocksGenericRowTransformer<>(rowDataTransformer); return SinkFunctionFactory.createSinkFunction(sinkOptions, flinkTableSchema, rowTransformer); } /** * Create a StarRocks DataStream sink, stream elements could only be String. *

* Note: the objects passed to the return sink can be processed in batch and retried. * Therefore, objects can not be {@link org.apache.flink.api.common.ExecutionConfig#enableObjectReuse() reused}. *

* * @param sinkOptions StarRocksSinkOptions as the document listed, such as jdbc-url, load-url, batch size and maximum retries * @return SinkFunction SinkFunction that could be add to a stream. */ public static SinkFunction sink(StarRocksSinkOptions sinkOptions) { return SinkFunctionFactory.createSinkFunction(sinkOptions); } private StarRocksSink() {} }




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