| /* |
| * 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.frameworks.spark.runtime |
| |
| import org.apache.amaterasu.common.logging.Logging |
| import org.apache.amaterasu.common.runtime.Environment |
| import org.apache.spark.SparkContext |
| import org.apache.spark.sql.{DataFrame, Dataset, Encoder, SparkSession} |
| |
| object AmaContext extends Logging { |
| |
| var spark: SparkSession = _ |
| var sc: SparkContext = _ |
| var jobId: String = _ |
| var env: Environment = _ |
| |
| def init(spark: SparkSession, |
| jobId: String, |
| env: Environment): Unit = { |
| |
| AmaContext.spark = spark |
| AmaContext.sc = spark.sparkContext |
| AmaContext.jobId = jobId |
| AmaContext.env = env |
| |
| } |
| |
| def getDataFrame(actionName: String, dfName: String, format: String = "parquet"): DataFrame = { |
| spark.read.format(format).load(s"${env.getWorkingDir}/$jobId/$actionName/$dfName") |
| } |
| |
| def getDataset[T: Encoder](actionName: String, dfName: String, format: String = "parquet"): Dataset[T] = { |
| getDataFrame(actionName, dfName, format).as[T] |
| } |
| |
| } |