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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,
* 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.sink
import org.apache.spark.rdd.RDD
import org.apache.griffin.measure.utils.JsonUtil
import org.apache.griffin.measure.utils.ParamUtil._
/**
* sink metric and record to console, for debug
*/
case class ConsoleSink(config: Map[String, Any], metricName: String, timeStamp: Long)
extends Sink {
val block: Boolean = true
val MaxLogLines = "max.log.lines"
val maxLogLines: Int = config.getInt(MaxLogLines, 100)
def available(): Boolean = true
def start(msg: String): Unit = {
println(s"[$timeStamp] $metricName start: $msg")
}
def finish(): Unit = {
println(s"[$timeStamp] $metricName finish")
}
def log(rt: Long, msg: String): Unit = {
println(s"[$timeStamp] $rt: $msg")
}
def sinkRecords(records: RDD[String], name: String): Unit = {
// println(s"${metricName} [${timeStamp}] records: ")
// try {
// val recordCount = records.count
// val count = if (maxLogLines < 0) recordCount else scala.math.min(maxLogLines, recordCount)
// val maxCount = count.toInt
// if (maxCount > 0) {
// val recordsArray = records.take(maxCount)
// recordsArray.foreach(println)
// }
// } catch {
// case e: Throwable => error(e.getMessage)
// }
}
def sinkRecords(records: Iterable[String], name: String): Unit = {
// println(s"${metricName} [${timeStamp}] records: ")
// try {
// val recordCount = records.size
// val count = if (maxLogLines < 0) recordCount else scala.math.min(maxLogLines, recordCount)
// if (count > 0) {
// records.foreach(println)
// }
// } catch {
// case e: Throwable => error(e.getMessage)
// }
}
def sinkMetrics(metrics: Map[String, Any]): Unit = {
println(s"$metricName [$timeStamp] metrics: ")
val json = JsonUtil.toJson(metrics)
println(json)
}
}