/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you 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 org.apache.paimon.spark.sources

import org.apache.paimon.options.Options
import org.apache.paimon.spark.{InsertInto, Overwrite}
import org.apache.paimon.spark.commands.{SchemaHelper, WriteIntoPaimonTable}
import org.apache.paimon.table.FileStoreTable

import org.apache.spark.sql.{DataFrame, PaimonUtils, SQLContext}
import org.apache.spark.sql.execution.streaming.Sink
import org.apache.spark.sql.sources.AlwaysTrue
import org.apache.spark.sql.streaming.OutputMode

class PaimonSink(
    sqlContext: SQLContext,
    override val originTable: FileStoreTable,
    partitionColumns: Seq[String],
    outputMode: OutputMode,
    options: Options)
  extends Sink
  with SchemaHelper {

  override def addBatch(batchId: Long, data: DataFrame): Unit = {
    val saveMode = if (outputMode == OutputMode.Complete()) {
      Overwrite(Some(AlwaysTrue))
    } else {
      InsertInto
    }
    partitionColumns.foreach(println)
    val newData = PaimonUtils.createNewDataFrame(data)
    WriteIntoPaimonTable(originTable, saveMode, newData, options).run(sqlContext.sparkSession)
  }
}
