Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16867
Thanks a lot for comments. I refined accordingly : )
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Github user jinxing64 commented on the issue:
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@mridulm
Thanks a lot for comments. I refined accordingly. (btw time complexity of
the `rebalance` in `MedianHeap`is O(1)).
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Github user jinxing64 commented on the issue:
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@mridulm
Thanks a lot for your comments. I did a test with `TreeSet` previously with
100k tasks. I calculate the time spent on insertion. The results are: 372ms,
362ms, 458ms, 429ms, 363ms
Github user jinxing64 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16867#discussion_r104344524
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/TaskSetManager.scala ---
@@ -754,7 +743,6 @@ private[spark] class TaskSetManager
Github user jinxing64 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16867#discussion_r104344529
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/TaskSetManager.scala ---
@@ -754,7 +743,6 @@ private[spark] class TaskSetManager
Github user jinxing64 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16867#discussion_r104344274
--- Diff:
core/src/main/scala/org/apache/spark/util/collection/MedianHeap.scala ---
@@ -0,0 +1,94 @@
+/*
+ * Licensed to the Apache Software
Github user jinxing64 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16867#discussion_r104344072
--- Diff:
core/src/test/scala/org/apache/spark/util/collection/MedianHeapSuite.scala ---
@@ -0,0 +1,78 @@
+/*
+ * Licensed to the Apache Software
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16867
@squito
Yes, some of machine learning jobs which do cartesian product in my cluster
have over than 100k tasks in the `TaskSetManager`.
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Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16867
@kayousterhout @squito
Thanks a lot for your comments, really helpful :)
I really think median heap is a good idea. `slice` is `O(n)` and is not
most efficient.
I'm
Github user jinxing64 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17133#discussion_r104273530
--- Diff: core/src/main/scala/org/apache/spark/scheduler/TaskInfo.scala ---
@@ -75,6 +75,8 @@ class TaskInfo(
}
private[spark] def
Github user jinxing64 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17133#discussion_r104161512
--- Diff: core/src/main/scala/org/apache/spark/scheduler/TaskInfo.scala ---
@@ -75,6 +75,8 @@ class TaskInfo(
}
private[spark] def
Github user jinxing64 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17133#discussion_r104066996
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/TaskSetManager.scala ---
@@ -695,7 +695,8 @@ private[spark] class TaskSetManager(
def
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/17133
I found this when do https://github.com/apache/spark/pull/17112, which is
for measuring the approach I proposed in
https://github.com/apache/spark/pull/16867.
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GitHub user jinxing64 opened a pull request:
https://github.com/apache/spark/pull/17133
[SPARK-19793] Use clock.getTimeMillis when mark task as finished in
TaskSetManager.
## What changes were proposed in this pull request?
TaskSetManager is now using
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/17111
@kayousterhout
Thanks for merging.
(btw, I made some measurements for
https://github.com/apache/spark/pull/16867 SPARK-16929, please take a look when
you have time :) )
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Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16867
I added a measurement for this pr in #17112 . Results are as below,
newAlgorithm indicates whether we use `TreeSet` to get the median duration or
not. And `time cost` is the time used when get
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/17112
The unit test "Measurement for SPARK-16929." added is the measurement.
In TaskSetManagerSuite.scala line 1049, if `newAlgorithm=true`,
`successfulTaskIdsSet `will be used to get
GitHub user jinxing64 opened a pull request:
https://github.com/apache/spark/pull/17112
Measurement for SPARK-16929.
## What changes were proposed in this pull request?
This pr doesn't target for merging. It's a measurement for
https://github.com/apache/spark/
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/17111
@squito
Thanks a lot :)
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Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16867
@kayousterhout @squito
It's great to open a new jira for this change. Please take a look at
https://github.com/apache/spark/pull/17111.
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cc @kayousterhout @squito
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GitHub user jinxing64 opened a pull request:
https://github.com/apache/spark/pull/17111
[SPARK-19777] Scan runningTasksSet when check speculatable tasks in Tâ¦
â¦askSetManager.
## What changes were proposed in this pull request?
When check speculatable tasks in
Github user jinxing64 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16867#discussion_r103391138
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/TaskSetManager.scala ---
@@ -911,14 +916,14 @@ private[spark] class TaskSetManager
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16989
@squito
I've uploaded a design doc to jira, please take a look when you have time :)
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Github user jinxing64 commented on the issue:
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@squito
Thanks a lot for your comments : )
>When check speculatable tasks in TaskSetManager, current code scan all
task infos and sort durations of successful tasks in O(NlogN) t
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16989
@squito
Thanks a lot for your comments : )
Yes, There must be a design doc for discussing. I will prepare and post a
pdf to jira.
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Github user jinxing64 closed the pull request at:
https://github.com/apache/spark/pull/16901
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@kayousterhout
I'll close since this functionality is already tested.
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@kayousterhout @squito
Would you mind to take a look at this when have time ?
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Github user jinxing64 commented on the issue:
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@srowen @vanzin
Thanks a lot for the work on this ~
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Github user jinxing64 commented on the issue:
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@vanzin @squito
Would you mind to take a look at this when have time ?
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GitHub user jinxing64 opened a pull request:
https://github.com/apache/spark/pull/16989
[SPARK-19659] Fetch big blocks to disk when shuffle-read.
## What changes were proposed in this pull request?
Currently the whole block is fetched into memory(off heap by default) when
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16790
Both `askSync` and `askWithRetry` are blocking, the only difference is the
"retry"(default is 3 times) when the rpc is failed. Callers of this method do
not necessarily rely on t
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16790
https://github.com/apache/spark/pull/16690#discussion_r101616883 causes the
build to produce lots of deprecation warnings.
@srowen @vanzin How do you think about this ?
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Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16690
@srowen
How do you think about https://github.com/apache/spark/pull/16790?
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Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16620
@kayousterhout @squito @markhamstra
Thanks for all of your work for this patch. Really appreciate your help : )
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Github user jinxing64 commented on the issue:
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Yes, refined : )
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Github user jinxing64 commented on the issue:
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@squito
Thanks a lot. I've refined the comment, please take another look.
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Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16901
@squito
Thanks a lot for your comments. I've refined the comment.
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Github user jinxing64 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16901#discussion_r100968529
--- Diff:
core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala ---
@@ -2161,6 +2161,48 @@ class DAGSchedulerSuite extends SparkFunSuite
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16901
@kayousterhout
I've refined accordingly. Sorry for the stupid mistake I made. Please take
another look at this : )
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Github user jinxing64 commented on the issue:
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@kayousterhout
I've refined accordingly, please take another look : )
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Github user jinxing64 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16620#discussion_r100953546
--- Diff:
core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala ---
@@ -2161,6 +2161,58 @@ class DAGSchedulerSuite extends SparkFunSuite
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16620
@kayousterhout
Thanks a lot for the clear explanation. It makes great sense to me and help
me understand the logic a lot. Also I think the way of testing is very good and
make the code very
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16901
@kayousterhout @squito @markhamstra
As mentioned in #16620 , I think it might make sense to make this pr.
Please take a look. If you think it is too trivial, I will close.
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GitHub user jinxing64 opened a pull request:
https://github.com/apache/spark/pull/16901
[SPARK-19565] Improve DAGScheduler tests.
## What changes were proposed in this pull request?
This is related to #16620.
When fetch failed, stage will be resubmitted. There can be
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16876
@kayousterhout
It's great to give a definition of `pendingPartitions` in `ShuffleMapStage`.
May I ask a question and make my understanding about `pendingPartitions`
clear ? It
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16831
@kayousterhout Thanks a lot. Sorry for this and I'll be careful in the
future.
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Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16876
It's great to have pendingPartitions in ShuffleMapStage.
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GitHub user jinxing64 opened a pull request:
https://github.com/apache/spark/pull/16867
[SPARK-16929] Improve performance when check speculatable tasks.
## What changes were proposed in this pull request?
When check speculatable tasks in `TaskSetManager`, current code scan
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16831
@squito
Many thanks for your help. You are so kind person : )
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Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16831
@kayousterhout thanks a lot.
I'm not sure how to start the unit test automatically, do I have the right
to do that?
BTW, may I ask a question, what is the proper way to run the unit
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16620
@markhamstra @squito @kayousterhout
It would be great if you can give more comments about above and I can
continue working on this : )
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Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16620
As @squito mentioned:
>Before this, the DAGScheduler didn't really know anything about
taskSetManagers. (In its current form, this pr uses a "leaked" handle via
rootPool.get
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16620
@kayousterhout @squito @markhamstra
Thanks a lot for reviewing this pr thus far. I do think the approach, which
throws away task results from earlier attempts that were running on executors
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16831
@kayousterhout
Thanks a lot for review. I've already refined.
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@squito
Thanks a lot for review.
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Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16831
@kayousterhout @squito
This is originally raised by @squito when review
https://github.com/apache/spark/pull/16620. Sorry for my eager to make this
small pr.
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GitHub user jinxing64 opened a pull request:
https://github.com/apache/spark/pull/16831
[SPARK-19263] Fix race in SchedulerIntegrationSuite.
## What changes were proposed in this pull request?
All the process of offering resource and generating `TaskDescription`
should be
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16620
@kayousterhout @squito @markhamstra
Thanks a lot for for the comments. I've already refined accordingly.
I still have one concern:
> If this is a correct description, Iâ
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16738
@kayousterhout
Thanks a lot again : )
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Github user jinxing64 commented on the issue:
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@kayousterhout
Thanks a lot for helping this pr thus far. I think the proposal is quite
clear. I've already refined. Please take another look.
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Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16620
@squito
Thanks a lot for helping this PR thus far.
I've added unit test in `DAGSchedulerSuite`, but not sure if it is exactly
what you suggest.
I created a `mockTaskSchedule
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16738
Thanks a lot for the comments. Actually Im still not sure how to change
this log or even just remove it. I just think the log is confusing. It is
printed out every FetchFailed. Please give some
Github user jinxing64 closed the pull request at:
https://github.com/apache/spark/pull/16808
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GitHub user jinxing64 opened a pull request:
https://github.com/apache/spark/pull/16808
[SPARK-19461] Remove some unused imports.
## What changes were proposed in this pull request?
Remove some unused imports in `CoarseGrainedSchedulerBackend` and
`YarnSchedulerBackend
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16738
I just changed the log message, but not sure if it clear enough.
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Github user jinxing64 closed the pull request at:
https://github.com/apache/spark/pull/16807
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GitHub user jinxing64 reopened a pull request:
https://github.com/apache/spark/pull/16738
[SPARK-19398] Change one misleading log in TaskSetManager.
## What changes were proposed in this pull request?
Log below is misleading:
```
if (successful(index
GitHub user jinxing64 opened a pull request:
https://github.com/apache/spark/pull/16807
[SPARK-19398] Change one misleading log in TaskSetManager.
## What changes were proposed in this pull request?
Log below is misleading:
```
if (successful(index
Github user jinxing64 closed the pull request at:
https://github.com/apache/spark/pull/16738
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GitHub user jinxing64 opened a pull request:
https://github.com/apache/spark/pull/16790
[SPARK-19450] Replace askWithRetry with askSync.
## What changes were proposed in this pull request?
`askSync` is already added in `RpcEndpointRef` (see SPARK-19347 and
https
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16738
@kayousterhout
Would you please give a look at this ? It's great if you could help review
this : )
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Github user jinxing64 commented on the issue:
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@squito
Would you please take another look at this? Please give some advice if
possible and I can continue working on this : )
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Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16779
Thanks a lot for reviewing this.
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Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16779
@zsxwing
Thanks a lot for reviewing this. Not sure why the test doesn't start
automatically.
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Github user jinxing64 closed the pull request at:
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Github user jinxing64 commented on the issue:
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Thanks a lot for looking into this~ @zsxwing
You are right. My understanding about this is incorrect.
`CoarseGrainedSchedulerBackend: DriverEndpoint` is a `ThreadSafeRpcEndpoint`,
thus
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16738
@srowen
Thanks a lot. I'll refine : )
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GitHub user jinxing64 opened a pull request:
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[SPARK-19438] Both reading and updating executorDataMap should be guarded
by CoarseGrainedSchedulerBackend.this.synchronized when handle RegisterExecutor.
## What changes were proposed in this
GitHub user jinxing64 opened a pull request:
https://github.com/apache/spark/pull/16779
[SPARK-19437] Rectify spark executor id in HeartbeatReceiverSuite.
## What changes were proposed in this pull request?
The current code in `HeartbeatReceiverSuite`, executorId is set as
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16690
Thanks a lot for reviewing this PR~
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Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16738
@srowen @jasonmoore2k
Thanks a lot for reviewing this PR~
>Should successful and tasksSuccessful renamed to be completed and
tasksCompleted?
How do you think about ab
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16690
@vanzin
Thanks a lot for helping this PR~ I've already refined~
Please take another look~
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Github user jinxing64 commented on the issue:
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@squito
Thanks a lot for keep reviewing this~ Your comments are very helpful ~
Thank you so much for your help ~~
-when we encounter the condition where there are no pending
Github user jinxing64 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16620#discussion_r98819685
--- Diff: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
---
@@ -1212,8 +1223,9 @@ class DAGScheduler
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16690
I feel very sorry if this is disturbing : )
@vanzin Thanks a lot for continuing reviewing this and I'll be more patient
: )
Sorry again~~
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Github user jinxing64 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16620#discussion_r98488916
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/TaskSetManager.scala ---
@@ -718,6 +703,21 @@ private[spark] class TaskSetManager
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16620
@squito
ping for review~~
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Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16690
@vanzin
ping for review
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Github user jinxing64 commented on the issue:
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Should `successful` and `tasksSuccessful` renamed to be `completed` and
`tasksCompleted`?which I think make more sense.
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GitHub user jinxing64 opened a pull request:
https://github.com/apache/spark/pull/16738
[SPARK-19398] remove one misleading log in TaskSetManager.
## What changes were proposed in this pull request?
Log below is misleading:
```
if (successful(index
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16690
@vanzin @zsxwing
ping for review~
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@squito
Could you please take another look at this ? : )
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Github user jinxing64 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16620#discussion_r98043010
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/TaskSetManager.scala ---
@@ -718,6 +703,21 @@ private[spark] class TaskSetManager
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16620
Fail to pass unit test. I will keep working on this.
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Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16620
>hmm, this is a nuisance. I don't see any good way to get rid of this sleep
... but now that I think about it, why can't you do this in DAGSchedulerSuite?
it seems like this ca
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16620
@squito
Thanks a lot for your comments, they are very helpful. I've already refined
the code, please take another look : )
When handle `Success` of `ShuffleMapTask`, what I wa
GitHub user jinxing64 opened a pull request:
https://github.com/apache/spark/pull/16690
[SPARK-19347] ReceiverSupervisorImpl can add block to ReceiverTracker
multiple times because of askWithRetry.
## What changes were proposed in this pull request?
`ReceiverSupervisorImpl
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16620
@markhamstra
Thanks a lot for your comment, I've already refined, please take another
look ~
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