| /* |
| * 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.amaterasu.framework.spark.runner.pyspark |
| |
| import java.util |
| import java.util.concurrent.{LinkedBlockingQueue, TimeUnit} |
| |
| |
| class PySparkExecutionQueue { |
| |
| val queue = new LinkedBlockingQueue[(String, String, util.Map[String, String])]() |
| |
| def getNext(): (String, String, util.Map[String, String]) = { |
| |
| // if the queue is idle for an hour it will return null which |
| // terminates the python execution, need to revisit |
| queue.poll(1, TimeUnit.HOURS) |
| |
| } |
| |
| def setForExec(line: (String, String, util.Map[String, String])) = { |
| |
| queue.put(line) |
| |
| } |
| |
| } |
