[
https://issues.apache.org/jira/browse/HIVE-21910?focusedWorklogId=269225&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-269225
]
ASF GitHub Bot logged work on HIVE-21910:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 28/Jun/19 12:31
Start Date: 28/Jun/19 12:31
Worklog Time Spent: 10m
Work Description: pvary commented on pull request #690: HIVE-21910:
Multiple target location generation in HostAffinitySplitLocationProvider
URL: https://github.com/apache/hive/pull/690#discussion_r298573326
##########
File path:
ql/src/java/org/apache/hadoop/hive/ql/exec/tez/HostAffinitySplitLocationProvider.java
##########
@@ -72,11 +78,17 @@ public HostAffinitySplitLocationProvider(List<String>
knownLocations) {
FileSplit fsplit = (FileSplit) split;
String splitDesc = "Split at " + fsplit.getPath() + " with offset= " +
fsplit.getStart()
+ ", length=" + fsplit.getLength();
- List<String> preferredLocations = preferLocations(fsplit);
- String location =
- preferredLocations.get(determineLocation(preferredLocations,
fsplit.getPath().toString(),
- fsplit.getStart(), splitDesc));
- return (location != null) ? new String[] { location } : null;
+ List<String> preferredLocations = new ArrayList<>(preferLocations(fsplit));
+ List<String> finalLocations = new ArrayList<>(numberOfLocations);
+ // Generate new preferred locations until we need more, or we do not have
any preferred
+ // location left
+ while (finalLocations.size() < numberOfLocations &&
preferredLocations.size() > 0) {
+ String nextLocation =
preferredLocations.get(determineLocation(preferredLocations,
+ fsplit.getPath().toString(), fsplit.getStart(), splitDesc));
+ finalLocations.add(nextLocation);
+ preferredLocations.remove(nextLocation);
Review comment:
I did some measurements for the split generation with this code:
`
@Test (timeout = 5000000)
public void testOrcSplitsBasic() throws IOException {
HostAffinitySplitLocationProvider locationProvider = new
HostAffinitySplitLocationProvider(executorLocations, true, 1);
InputSplit os1 = createMockFileSplit(true, "path1", 0, 1000, new String[]
{locations.get(0), locations.get(1), locations.get(2), locations.get(3)});
long start = System.nanoTime();
for(int i=0;i<100000;i++) {
locationProvider.getLocations(os1);
}
LOG.error("TIME: " + (System.nanoTime()-start)/1000000);
}
`
I got the following results:
Original code (~6100ms for 100k requests):
- 5859
- 6511
- 6813
- 5721
- 5663
New code with 1 location (~5823ms for 100k requests):
- 5877
- 5621
- 5613
- 5883
- 6120
New code with 2 locations (~6579ms for 100k request):
- 6433
- 6825
- 6574
- 6444
- 6621
I do not see why the new code should be faster, so this means probably high
variation for the data. Generating 2 locations instead of 1 seems like a 10%
overhead. Since this is 0.006ms per request this seems reasonable for me.
What is your opinion?
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Issue Time Tracking
-------------------
Worklog Id: (was: 269225)
Time Spent: 1.5h (was: 1h 20m)
> Multiple target location generation in HostAffinitySplitLocationProvider
> ------------------------------------------------------------------------
>
> Key: HIVE-21910
> URL: https://issues.apache.org/jira/browse/HIVE-21910
> Project: Hive
> Issue Type: Sub-task
> Components: llap
> Reporter: Peter Vary
> Assignee: Peter Vary
> Priority: Major
> Labels: pull-request-available
> Attachments: HIVE-21910.patch
>
> Time Spent: 1.5h
> Remaining Estimate: 0h
>
> We need to generate multiple target locations by
> HostAffinitySplitLocationProvider, so we will have deterministic fallback
> nodes in case the target node is disabled
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