/*
 * 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

import org.apache.spark.sql.catalyst.expressions.Attribute
import org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils
import org.apache.spark.sql.jdbc.JdbcDialect
import org.apache.spark.sql.types.StructType
import org.apache.spark.sql.util.SchemaUtils

import java.sql.{Connection, ResultSet}

/**
 * Utils on schema for Spark 3.3.
 */
object HoodieSpark33SchemaUtils extends HoodieSchemaUtils {
  override def checkColumnNameDuplication(columnNames: Seq[String],
                                          colType: String,
                                          caseSensitiveAnalysis: Boolean): Unit = {
    SchemaUtils.checkColumnNameDuplication(columnNames, colType, caseSensitiveAnalysis)
  }

  override def toAttributes(struct: StructType): Seq[Attribute] = {
    struct.toAttributes
  }

  override def getSchema(conn: Connection,
                         resultSet: ResultSet,
                         dialect: JdbcDialect,
                         alwaysNullable: Boolean = false,
                         isTimestampNTZ: Boolean = false): StructType = {
    JdbcUtils.getSchema(resultSet, dialect, alwaysNullable)
  }
}
