[
https://issues.apache.org/jira/browse/HIVE-21823?focusedWorklogId=254237&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-254237
]
ASF GitHub Bot logged work on HIVE-21823:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 05/Jun/19 07:54
Start Date: 05/Jun/19 07:54
Worklog Time Spent: 10m
Work Description: pvary commented on pull request #660: HIVE-21823: New
metrics to get the average queue length / free executor number for a given time
window
URL: https://github.com/apache/hive/pull/660#discussion_r290618110
##########
File path:
llap-server/src/java/org/apache/hadoop/hive/llap/metrics/LlapDaemonExecutorMetrics.java
##########
@@ -397,4 +425,106 @@ public JvmMetrics getJvmMetrics() {
public String getName() {
return name;
}
+
+ /**
+ * Generate time aware average for data points.
+ * For example if we have 3s when the queue size is 1, and 1s when the queue
size is 2 then the
+ * calculated average should be (3*1+1*2)/4 = 1.25.
+ */
+ @VisibleForTesting
+ static class TimedAverageMetrics {
+ private final int windowDataSize;
+ private final long windowTimeSize;
+ private final Data[] data;
+ private int nextPos = 0;
+
+ /**
+ * Creates and initializes the metrics object.
+ * @param windowDataSize The maximum number of samples stored
+ * @param windowTimeSize The time window used to generate the average in
nanoseconds
+ */
+ TimedAverageMetrics(int windowDataSize, long windowTimeSize) {
+ this(windowDataSize, windowTimeSize, System.nanoTime());
+ }
+
+ @VisibleForTesting
+ TimedAverageMetrics(int windowDataSize, long windowTimeSize,
+ long defaultTime) {
+ assert(windowDataSize > 0);
+ this.windowDataSize = windowDataSize;
+ this.windowTimeSize = windowTimeSize;
+ this.data = new Data[windowDataSize];
+ Arrays.setAll(data, i -> new Data(defaultTime, 0L));
+ }
+
+ /**
+ * Adds a new sample value to the metrics.
+ * @param value The new sample value
+ */
+ public synchronized void add(long value) {
+ add(System.nanoTime(), value);
+ }
+
+ /**
+ * Calculates the average for the last windowTimeSize window.
+ * @return The average
+ */
+ public synchronized long value() {
+ return value(System.nanoTime());
+ }
+
+ @VisibleForTesting
+ void add(long time, long value) {
+ data[nextPos].nanoTime = time;
+ data[nextPos].value = value;
+ nextPos++;
+ if (nextPos == windowDataSize) {
+ nextPos = 0;
+ }
+ }
+
+ @VisibleForTesting
+ long value(long time) {
+ // We expect that the data time positions are strictly increasing and
the time is greater than
+ // any of the data position time. This is ensured by using
System.nanoTime().
+ long sum = 0L;
+ long lastTime = time;
+ long minTime = lastTime - windowTimeSize;
+ int pos = nextPos - 1;
+ boolean firstRound = true;
+ while (firstRound || pos != nextPos - 1) {
Review comment:
Yeah... tried to add the last part in the loop, and forget to revert to the
do while :D
Done.
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
Issue Time Tracking
-------------------
Worklog Id: (was: 254237)
Time Spent: 1h 20m (was: 1h 10m)
> New metrics to get the average queue length / free executor number for a
> given time window
> ------------------------------------------------------------------------------------------
>
> Key: HIVE-21823
> URL: https://issues.apache.org/jira/browse/HIVE-21823
> Project: Hive
> Issue Type: Sub-task
> Components: llap
> Reporter: Peter Vary
> Assignee: Peter Vary
> Priority: Major
> Labels: pull-request-available
> Attachments: HIVE-21823.patch
>
> Time Spent: 1h 20m
> Remaining Estimate: 0h
>
> We need to calculate the average queue size / free executor size for a window
> to have good data for making routing decisions.
> Interesting things to consider:
> * The time gap between arriving request can be different, so simple average
> is not enough to have correct data
> * We need to have 2 parameters
> ** Time window length
> ** Maximum data point numbers - so we will not collect "infinite" amount of
> data at high load
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
