streaming.dsl.load.batch.MLSQLAPIExplain.scala Maven / Gradle / Ivy
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* 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,
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package streaming.dsl.load.batch
import net.csdn.ServiceFramwork
import net.csdn.api.controller.APIDescAC
import net.csdn.common.settings.Settings
import net.sf.json.{JSONArray, JSONObject}
import org.apache.spark.sql.{DataFrame, SparkSession}
import scala.collection.JavaConversions._
/**
* 2018-11-30 WilliamZhu([email protected])
*/
class MLSQLAPIExplain(sparkSession: SparkSession) extends SelfExplain {
override def isMatch: Boolean = false
override def explain: DataFrame = {
val items = JSONArray.fromObject(APIDescAC.openAPIs(ServiceFramwork.injector.getInstance(classOf[Settings]))).
flatMap(f => f.asInstanceOf[JSONObject].getJSONArray("actions").map(m => JSONObject.fromObject(m).toString))
val rows = sparkSession.sparkContext.parallelize(items, 1)
sparkSession.read.json(rows)
}
}