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A cluster computing system for processing large-scale spatial data: SQL API for Spark 3.3.

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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.sedona.sql.parser

import org.apache.spark.sql.catalyst.parser.SqlBaseParser._
import org.apache.spark.sql.execution.SparkSqlAstBuilder
import org.apache.spark.sql.sedona_sql.UDT.GeometryUDT
import org.apache.spark.sql.types.DataType

class SedonaSqlAstBuilder extends SparkSqlAstBuilder {

  /**
   * Override the method to handle the geometry data type
   * @param ctx
   * @return
   */
  override def visitPrimitiveDataType(ctx: PrimitiveDataTypeContext): DataType = {
    ctx.getText.toUpperCase() match {
      case "GEOMETRY" => GeometryUDT
      case _ => super.visitPrimitiveDataType(ctx)
    }
  }
}