| /* |
| * 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.spark.sql.udf |
| |
| import java.util.concurrent.TimeUnit |
| import java.util.concurrent.atomic.AtomicReference |
| |
| import org.apache.kylin.guava30.shaded.common.cache.{Cache, CacheBuilder, RemovalListener, RemovalNotification} |
| import org.apache.kylin.metadata.datatype.DataType |
| import org.apache.spark.internal.Logging |
| import org.apache.spark.sql.{FunctionEntity, KapFunctions, SparkSession} |
| |
| class UdfManager(sparkSession: SparkSession) extends Logging { |
| private var udfCache: Cache[String, String] = _ |
| |
| KapFunctions.builtin.foreach { case FunctionEntity(name, info, builder) => |
| sparkSession.sessionState.functionRegistry.registerFunction(name, info, builder) |
| } |
| udfCache = CacheBuilder.newBuilder |
| .maximumSize(100) |
| .expireAfterWrite(1, TimeUnit.HOURS) |
| .removalListener(new RemovalListener[String, String]() { |
| override def onRemoval(notification: RemovalNotification[String, String]): Unit = { |
| val func = notification.getKey |
| logInfo(s"remove function $func") |
| } |
| }) |
| .build |
| .asInstanceOf[Cache[String, String]] |
| |
| def destory(): Unit = { |
| udfCache.cleanUp() |
| } |
| |
| def doRegister(dataType: DataType, funcName: String): String = { |
| val name = genKey(dataType, funcName) |
| val cacheFunc = udfCache.getIfPresent(name) |
| if (cacheFunc == null) { |
| sparkSession.udf.register(name, new SparderAggFun(funcName, dataType)) |
| udfCache.put(name, "") |
| } |
| name |
| } |
| |
| def genKey(dataType: DataType, funcName: String): String = { |
| dataType.toString |
| .replace("(", "_") |
| .replace(")", "_") |
| .replace(",", "_") + funcName |
| } |
| |
| } |
| |
| object UdfManager { |
| |
| private val defaultManager = new AtomicReference[UdfManager] |
| private val defaultSparkSession: AtomicReference[SparkSession] = |
| new AtomicReference[SparkSession] |
| |
| def create(sparkSession: SparkSession): Unit = { |
| val manager = new UdfManager(sparkSession) |
| defaultManager.set(manager) |
| defaultSparkSession.set(sparkSession) |
| } |
| |
| def register(dataType: DataType, func: String): String = { |
| defaultManager.get().doRegister(dataType, func) |
| } |
| |
| def register(sparkSession: SparkSession, func: FunctionEntity): Unit = { |
| sparkSession.sessionState.functionRegistry.registerFunction(func.name, |
| func.info, func.builder) |
| } |
| |
| } |