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/*
* 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.spark.sql.execution.command.timeseries
import java.sql.Timestamp
import org.apache.carbondata.core.preagg.TimeSeriesUDF
/**
* Time series udf class
*/
class TimeSeriesFunction extends ((Timestamp, String) => Timestamp) with Serializable{
override def apply(v1: Timestamp, v2: String): Timestamp = {
TimeSeriesUDF.INSTANCE.applyUDF(v1, v2)
}
}