org.datasyslab.geosparksql.UDF.UdfRegistrator.scala Maven / Gradle / Ivy
/*
* FILE: UdfRegistrator.scala
* Copyright (c) 2015 - 2018 GeoSpark Development Team
*
* MIT License
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*
*/
package org.datasyslab.geosparksql.UDF
import org.apache.spark.sql.catalyst.analysis.FunctionRegistry
import org.apache.spark.sql.{SQLContext, SparkSession}
object UdfRegistrator {
def registerAll(sqlContext: SQLContext): Unit = {
registerAll(sqlContext.sparkSession)
}
def registerAll(sparkSession: SparkSession): Unit = {
Catalog.expressions.foreach(f=>FunctionRegistry.builtin.registerFunction(f.getClass.getSimpleName.dropRight(1),f))
Catalog.aggregateExpressions.foreach(f=>sparkSession.udf.register(f.getClass.getSimpleName,f))
}
def dropAll(sparkSession: SparkSession): Unit = {
Catalog.expressions.foreach(f=>FunctionRegistry.builtin.dropFunction(f.getClass.getSimpleName.dropRight(1)))
Catalog.aggregateExpressions.foreach(f=>FunctionRegistry.builtin.dropFunction((f.getClass.getSimpleName)))
}
}