| /* |
| 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.step.write |
| |
| import org.apache.griffin.measure.configuration.enums._ |
| import org.apache.griffin.measure.context.DQContext |
| import org.apache.griffin.measure.step.builder.ConstantColumns |
| import org.apache.griffin.measure.utils.JsonUtil |
| import org.apache.griffin.measure.utils.ParamUtil._ |
| |
| /** |
| * write metrics into context metric wrapper |
| */ |
| case class MetricWriteStep(name: String, |
| inputName: String, |
| flattenType: FlattenType, |
| writeTimestampOpt: Option[Long] = None |
| ) extends WriteStep { |
| |
| val emptyMetricMap = Map[Long, Map[String, Any]]() |
| val emptyMap = Map[String, Any]() |
| |
| def execute(context: DQContext): Boolean = { |
| val timestamp = writeTimestampOpt.getOrElse(context.contextId.timestamp) |
| |
| // get metric list from data frame |
| val metricMaps: Seq[Map[String, Any]] = getMetricMaps(context) |
| |
| // get timestamp and normalize metric |
| val writeMode = writeTimestampOpt.map(_ => SimpleMode).getOrElse(context.writeMode) |
| val timestampMetricMap: Map[Long, Map[String, Any]] = writeMode match { |
| |
| case SimpleMode => |
| val metrics: Map[String, Any] = flattenMetric(metricMaps, name, flattenType) |
| emptyMetricMap + (timestamp -> metrics) |
| |
| case TimestampMode => |
| val tmstMetrics = metricMaps.map { metric => |
| val tmst = metric.getLong(ConstantColumns.tmst, timestamp) |
| val pureMetric = metric.removeKeys(ConstantColumns.columns) |
| (tmst, pureMetric) |
| } |
| tmstMetrics.groupBy(_._1).map { pair => |
| val (k, v) = pair |
| val maps = v.map(_._2) |
| val mtc = flattenMetric(maps, name, flattenType) |
| (k, mtc) |
| } |
| } |
| |
| // write to metric wrapper |
| timestampMetricMap.foreach { pair => |
| val (timestamp, v) = pair |
| context.metricWrapper.insertMetric(timestamp, v) |
| } |
| |
| true |
| } |
| |
| private def getMetricMaps(context: DQContext): Seq[Map[String, Any]] = { |
| try { |
| val pdf = context.sparkSession.table(s"`${inputName}`") |
| val records = pdf.toJSON.collect() |
| if (records.size > 0) { |
| records.flatMap { rec => |
| try { |
| val value = JsonUtil.toAnyMap(rec) |
| Some(value) |
| } catch { |
| case e: Throwable => None |
| } |
| }.toSeq |
| } else Nil |
| } catch { |
| case e: Throwable => |
| error(s"get metric ${name} fails", e) |
| Nil |
| } |
| } |
| |
| private def flattenMetric(metrics: Seq[Map[String, Any]], name: String, flattenType: FlattenType |
| ): Map[String, Any] = { |
| flattenType match { |
| case EntriesFlattenType => metrics.headOption.getOrElse(emptyMap) |
| case ArrayFlattenType => Map[String, Any]((name -> metrics)) |
| case MapFlattenType => |
| val v = metrics.headOption.getOrElse(emptyMap) |
| Map[String, Any]((name -> v)) |
| case _ => |
| if (metrics.size > 1) Map[String, Any]((name -> metrics)) |
| else metrics.headOption.getOrElse(emptyMap) |
| } |
| } |
| |
| } |