| /* |
| * 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.datasource.connector.batch |
| |
| import org.apache.spark.sql.{DataFrame, SparkSession} |
| |
| import org.apache.griffin.measure.configuration.dqdefinition.DataConnectorParam |
| import org.apache.griffin.measure.context.TimeRange |
| import org.apache.griffin.measure.datasource.TimestampStorage |
| import org.apache.griffin.measure.utils.HdfsUtil |
| import org.apache.griffin.measure.utils.ParamUtil._ |
| |
| /** |
| * batch data connector for avro file |
| */ |
| case class AvroBatchDataConnector( |
| @transient sparkSession: SparkSession, |
| dcParam: DataConnectorParam, |
| timestampStorage: TimestampStorage) |
| extends BatchDataConnector { |
| |
| val config: Map[String, Any] = dcParam.getConfig |
| |
| val FilePath = "file.path" |
| val FileName = "file.name" |
| |
| val filePath: String = config.getString(FilePath, "") |
| val fileName: String = config.getString(FileName, "") |
| |
| val concreteFileFullPath: String = if (pathPrefix()) filePath else fileName |
| |
| private def pathPrefix(): Boolean = { |
| filePath.nonEmpty |
| } |
| |
| private def fileExist(): Boolean = { |
| HdfsUtil.existPath(concreteFileFullPath) |
| } |
| |
| def data(ms: Long): (Option[DataFrame], TimeRange) = { |
| assert(fileExist(), s"Avro file $concreteFileFullPath is not exists!") |
| val dfOpt = { |
| val df = sparkSession.read.format("com.databricks.spark.avro").load(concreteFileFullPath) |
| val dfOpt = Some(df) |
| val preDfOpt = preProcess(dfOpt, ms) |
| preDfOpt |
| } |
| val tmsts = readTmst(ms) |
| (dfOpt, TimeRange(ms, tmsts)) |
| } |
| |
| } |