/*
 * 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.jdbc

import org.apache.spark.sql.types._


private object MsSqlServerDialect extends JdbcDialect {

  override def canHandle(url: String): Boolean = url.startsWith("jdbc:sqlserver")

  override def getCatalystType(
      sqlType: Int, typeName: String, size: Int, md: MetadataBuilder): Option[DataType] = {
    if (typeName.contains("datetimeoffset")) {
      // String is recommend by Microsoft SQL Server for datetimeoffset types in non-MS clients
      Option(StringType)
    } else {
      None
    }
  }

  override def getJDBCType(dt: DataType): Option[JdbcType] = dt match {
    case TimestampType => Some(JdbcType("DATETIME", java.sql.Types.TIMESTAMP))
    case StringType => Some(JdbcType("NVARCHAR(MAX)", java.sql.Types.NVARCHAR))
    case BooleanType => Some(JdbcType("BIT", java.sql.Types.BIT))
    case _ => None
  }

  override def isCascadingTruncateTable(): Option[Boolean] = Some(false)
}
