| /* |
| * 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.streaming |
| |
| import scala.util.Try |
| |
| import org.apache.spark.rdd.RDD |
| import org.apache.spark.sql._ |
| import org.apache.spark.streaming.dstream.InputDStream |
| |
| import org.apache.griffin.measure.context.TimeRange |
| import org.apache.griffin.measure.datasource.cache.StreamingCacheClient |
| import org.apache.griffin.measure.datasource.connector.DataConnector |
| |
| trait StreamingDataConnector extends DataConnector { |
| |
| type K |
| type V |
| type OUT |
| |
| protected def stream(): Try[InputDStream[OUT]] |
| |
| // transform rdd to dataframe |
| def transform(rdd: RDD[OUT]): Option[DataFrame] |
| |
| // streaming data connector cannot directly read data frame |
| def data(ms: Long): (Option[DataFrame], TimeRange) = (None, TimeRange.emptyTimeRange) |
| |
| val streamingCacheClientOpt: Option[StreamingCacheClient] |
| |
| } |