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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.ParserInterface
import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
import org.apache.spark.sql.execution.SparkSqlParser
class SedonaSqlParser(delegate: ParserInterface) extends SparkSqlParser {
// The parser builder for the Sedona SQL AST
val parserBuilder = new SedonaSqlAstBuilder
/**
* Parse the SQL text and return the logical plan.
* @param sqlText
* @return
*/
override def parsePlan(sqlText: String): LogicalPlan =
try {
parse(sqlText) { parser =>
parserBuilder.visit(parser.singleStatement()) match {
case plan: LogicalPlan => plan
case _ =>
delegate.parsePlan(sqlText)
}
}
} catch {
case _: Exception =>
delegate.parsePlan(sqlText)
}
}
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