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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.spark.util.logging
import java.text.SimpleDateFormat
import java.util.Calendar
import org.apache.spark.internal.Logging
/**
* Defines the policy based on which [[org.apache.spark.util.logging.RollingFileAppender]] will
* generate rolling files.
*/
private[spark] trait RollingPolicy {
/** Whether rollover should be initiated at this moment */
def shouldRollover(bytesToBeWritten: Long): Boolean
/** Notify that rollover has occurred */
def rolledOver()
/** Notify that bytes have been written */
def bytesWritten(bytes: Long)
/** Get the desired name of the rollover file */
def generateRolledOverFileSuffix(): String
}
/**
* Defines a [[org.apache.spark.util.logging.RollingPolicy]] by which files will be rolled
* over at a fixed interval.
*/
private[spark] class TimeBasedRollingPolicy(
var rolloverIntervalMillis: Long,
rollingFileSuffixPattern: String,
checkIntervalConstraint: Boolean = true // set to false while testing
) extends RollingPolicy with Logging {
import TimeBasedRollingPolicy._
if (checkIntervalConstraint && rolloverIntervalMillis < MINIMUM_INTERVAL_SECONDS * 1000L) {
logWarning(s"Rolling interval [${rolloverIntervalMillis/1000L} seconds] is too small. " +
s"Setting the interval to the acceptable minimum of $MINIMUM_INTERVAL_SECONDS seconds.")
rolloverIntervalMillis = MINIMUM_INTERVAL_SECONDS * 1000L
}
@volatile private var nextRolloverTime = calculateNextRolloverTime()
private val formatter = new SimpleDateFormat(rollingFileSuffixPattern)
/** Should rollover if current time has exceeded next rollover time */
def shouldRollover(bytesToBeWritten: Long): Boolean = {
System.currentTimeMillis > nextRolloverTime
}
/** Rollover has occurred, so find the next time to rollover */
def rolledOver() {
nextRolloverTime = calculateNextRolloverTime()
logDebug(s"Current time: ${System.currentTimeMillis}, next rollover time: " + nextRolloverTime)
}
def bytesWritten(bytes: Long) { } // nothing to do
private def calculateNextRolloverTime(): Long = {
val now = System.currentTimeMillis()
val targetTime = (
math.ceil(now.toDouble / rolloverIntervalMillis) * rolloverIntervalMillis
).toLong
logDebug(s"Next rollover time is $targetTime")
targetTime
}
def generateRolledOverFileSuffix(): String = {
formatter.format(Calendar.getInstance.getTime)
}
}
private[spark] object TimeBasedRollingPolicy {
val MINIMUM_INTERVAL_SECONDS = 60L // 1 minute
}
/**
* Defines a [[org.apache.spark.util.logging.RollingPolicy]] by which files will be rolled
* over after reaching a particular size.
*/
private[spark] class SizeBasedRollingPolicy(
var rolloverSizeBytes: Long,
checkSizeConstraint: Boolean = true // set to false while testing
) extends RollingPolicy with Logging {
import SizeBasedRollingPolicy._
if (checkSizeConstraint && rolloverSizeBytes < MINIMUM_SIZE_BYTES) {
logWarning(s"Rolling size [$rolloverSizeBytes bytes] is too small. " +
s"Setting the size to the acceptable minimum of $MINIMUM_SIZE_BYTES bytes.")
rolloverSizeBytes = MINIMUM_SIZE_BYTES
}
@volatile private var bytesWrittenSinceRollover = 0L
val formatter = new SimpleDateFormat("--yyyy-MM-dd--HH-mm-ss--SSSS")
/** Should rollover if the next set of bytes is going to exceed the size limit */
def shouldRollover(bytesToBeWritten: Long): Boolean = {
logInfo(s"$bytesToBeWritten + $bytesWrittenSinceRollover > $rolloverSizeBytes")
bytesToBeWritten + bytesWrittenSinceRollover > rolloverSizeBytes
}
/** Rollover has occurred, so reset the counter */
def rolledOver() {
bytesWrittenSinceRollover = 0
}
/** Increment the bytes that have been written in the current file */
def bytesWritten(bytes: Long) {
bytesWrittenSinceRollover += bytes
}
/** Get the desired name of the rollover file */
def generateRolledOverFileSuffix(): String = {
formatter.format(Calendar.getInstance.getTime)
}
}
private[spark] object SizeBasedRollingPolicy {
val MINIMUM_SIZE_BYTES = RollingFileAppender.DEFAULT_BUFFER_SIZE * 10
}
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