blob: b3e813d9aab2c078440de1236dc8cc8ee987be37 [file] [log] [blame]
/*
* 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.griffin.measure.step.builder.udf
import org.apache.spark.sql.SparkSession
object GriffinUDFAgent {
def register(sparkSession: SparkSession): Unit = {
GriffinUDFs.register(sparkSession)
GriffinUDAggFs.register(sparkSession)
}
}
/**
* user defined functions extension
*/
object GriffinUDFs {
def register(sparkSession: SparkSession): Unit = {
sparkSession.udf.register("index_of", indexOf _)
sparkSession.udf.register("matches", matches _)
sparkSession.udf.register("reg_replace", regReplace _)
}
private def indexOf(arr: Seq[String], v: String) = {
arr.indexOf(v)
}
private def matches(s: String, regex: String) = {
s.matches(regex)
}
private def regReplace(s: String, regex: String, replacement: String) = {
s.replaceAll(regex, replacement)
}
}
/**
* aggregation functions extension
*/
object GriffinUDAggFs {
def register(sparkSession: SparkSession): Unit = {
}
}