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/*
 * Copyright 2011-2023 GatlingCorp (https://gatling.io)
 *
 * 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 io.gatling.jdbc.feeder

import java.sql.DriverManager
import java.sql.ResultSet.{ CONCUR_READ_ONLY, TYPE_FORWARD_ONLY }

import scala.annotation.tailrec
import scala.util.Using

import io.gatling.core.feeder.Record

object JdbcFeederSource {
  def apply(url: String, username: String, password: String, sql: String): Vector[Record[Any]] =
    Using.resource(DriverManager.getConnection(url, username, password)) { connection =>
      val preparedStatement = connection.prepareStatement(sql, TYPE_FORWARD_ONLY, CONCUR_READ_ONLY)
      val resultSet = preparedStatement.executeQuery
      val metadata = resultSet.getMetaData
      val columnCount = metadata.getColumnCount

      val columnLabels = for (i <- 1 to columnCount) yield metadata.getColumnLabel(i)

      @SuppressWarnings(Array("org.wartremover.warts.SeqApply"))
      def computeRecord: Record[Any] =
        (1 to columnCount).view.map(i => columnLabels(i - 1) -> resultSet.getObject(i)).to(Map)

      @tailrec
      def loadRec(records: Vector[Record[Any]]): Vector[Record[Any]] =
        if (!resultSet.next) records
        else loadRec(records :+ computeRecord)

      loadRec(Vector.empty)
    }
}




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