We opened a thread for voting yesterday, so please participate!

 

-Matt Cheah

 

From: Yue Li <yue...@memverge.com>
Date: Thursday, June 13, 2019 at 7:22 PM
To: Saisai Shao <sai.sai.s...@gmail.com>, Imran Rashid <iras...@apache.org>
Cc: Matt Cheah <mch...@palantir.com>, "Yifei Huang (PD)" <yif...@palantir.com>, 
Mridul Muralidharan <mri...@gmail.com>, Bo Yang <b...@uber.com>, Ilan Filonenko 
<i...@cornell.edu>, Imran Rashid <iras...@cloudera.com>, Justin Uang 
<ju...@palantir.com>, Liang Tang <lat...@linkedin.com>, Marcelo Vanzin 
<van...@cloudera.com>, Matei Zaharia <matei.zaha...@gmail.com>, Min Shen 
<ms...@linkedin.com>, Reynold Xin <r...@databricks.com>, Ryan Blue 
<rb...@netflix.com>, Vinoo Ganesh <vgan...@palantir.com>, Will Manning 
<wmann...@palantir.com>, "b...@fb.com" <b...@fb.com>, "dev@spark.apache.org" 
<dev@spark.apache.org>, "fel...@uber.com" <fel...@uber.com>, 
"f...@linkedin.com" <f...@linkedin.com>, "tgraves...@gmail.com" 
<tgraves...@gmail.com>, "yez...@linkedin.com" <yez...@linkedin.com>, Cedric 
Zhuang <cedric.zhu...@memverge.com>
Subject: Re: [DISCUSS][SPARK-25299] SPIP: Shuffle storage API

 

+ Cedric, who is our lead developer of Splash shuffle manager at MemVerge. 

 

Fully agreed with Saisai. Thanks!

 

Best, 

 

Yue

 

From: Saisai Shao <sai.sai.s...@gmail.com>
Date: Thursday, June 13, 2019 at 2:52 PM
To: Imran Rashid <iras...@apache.org>
Cc: Matt Cheah <mch...@palantir.com>, "Yifei Huang (PD)" <yif...@palantir.com>, 
Mridul Muralidharan <mri...@gmail.com>, Bo Yang <b...@uber.com>, Ilan Filonenko 
<i...@cornell.edu>, Imran Rashid <iras...@cloudera.com>, Justin Uang 
<ju...@palantir.com>, Liang Tang <lat...@linkedin.com>, Marcelo Vanzin 
<van...@cloudera.com>, Matei Zaharia <matei.zaha...@gmail.com>, Min Shen 
<ms...@linkedin.com>, Reynold Xin <r...@databricks.com>, Ryan Blue 
<rb...@netflix.com>, Vinoo Ganesh <vgan...@palantir.com>, Will Manning 
<wmann...@palantir.com>, "b...@fb.com" <b...@fb.com>, "dev@spark.apache.org" 
<dev@spark.apache.org>, "fel...@uber.com" <fel...@uber.com>, 
"f...@linkedin.com" <f...@linkedin.com>, "tgraves...@gmail.com" 
<tgraves...@gmail.com>, "yez...@linkedin.com" <yez...@linkedin.com>, Yue Li 
<yue...@memverge.com>
Subject: Re: [DISCUSS][SPARK-25299] SPIP: Shuffle storage API

 

I think maybe we could start a vote on this SPIP.  

 

This has been discussed for a while, and the current doc is pretty complete as 
for now. Also we saw lots of demands in the community about building their own 
shuffle storage.

 

Thanks

Saisai 

 

Imran Rashid <iras...@apache.org> 于2019年6月11日周二 上午3:27写道:

I would be happy to shepherd this.

 

On Wed, Jun 5, 2019 at 7:33 PM Matt Cheah <mch...@palantir.com> wrote:

Hi everyone,

 

I wanted to pick this back up again. The discussion has quieted down both on 
this thread and on the document.

 

We made a few revisions to the document to hopefully make it easier to read and 
to clarify our criteria for success in the project. Some of the APIs have also 
been adjusted based on further discussion and things we’ve learned.

 

I was hoping to discuss what our next steps could be here. Specifically,
Would any PMC be willing to become the shepherd for this SPIP?
Is there any more feedback regarding this proposal?
What would we need to do to take this to a voting phase and to begin proposing 
our work against upstream Spark?
 

Thanks,

 

-Matt Cheah

 

From: "Yifei Huang (PD)" <yif...@palantir.com>
Date: Monday, May 13, 2019 at 1:04 PM
To: Mridul Muralidharan <mri...@gmail.com>
Cc: Bo Yang <b...@uber.com>, Ilan Filonenko <i...@cornell.edu>, Imran Rashid 
<iras...@cloudera.com>, Justin Uang <ju...@palantir.com>, Liang Tang 
<lat...@linkedin.com>, Marcelo Vanzin <van...@cloudera.com>, Matei Zaharia 
<matei.zaha...@gmail.com>, Matt Cheah <mch...@palantir.com>, Min Shen 
<ms...@linkedin.com>, Reynold Xin <r...@databricks.com>, Ryan Blue 
<rb...@netflix.com>, Vinoo Ganesh <vgan...@palantir.com>, Will Manning 
<wmann...@palantir.com>, "b...@fb.com" <b...@fb.com>, "dev@spark.apache.org" 
<dev@spark.apache.org>, "fel...@uber.com" <fel...@uber.com>, 
"f...@linkedin.com" <f...@linkedin.com>, "tgraves...@gmail.com" 
<tgraves...@gmail.com>, "yez...@linkedin.com" <yez...@linkedin.com>, 
"yue...@memverge.com" <yue...@memverge.com>
Subject: Re: [DISCUSS][SPARK-25299] SPIP: Shuffle storage API

 

Hi Mridul - thanks for taking the time to give us feedback! Thoughts on the 
points that you mentioned:

 

The API is meant to work with the existing SortShuffleManager algorithm. There 
aren't strict requirements on how other ShuffleManager implementations must 
behave, so it seems impractical to design an API that could also satisfy those 
unknown requirements. However, we do believe that the API is rather generic, 
using OutputStreams for writes and InputStreams for reads, and indexing the 
data by a shuffleId-mapId-reduceId combo, so if other shuffle algorithms treat 
the data in the same chunks and want an interface for storage, then they can 
also use this API from within their implementation.

 

About speculative execution, we originally made the assumption that each 
shuffle task is deterministic, which meant that even if a later mapper overrode 
a previous committed mapper's value, it's still the same contents. Having 
searched some tickets and reading 
https://github.com/apache/spark/pull/22112/files [github.com] more carefully, I 
think there are problems with our original thought if the writer writes all 
attempts of a task to the same location. One example is if the writer 
implementation writes each partition to the remote host in a sequence of 
chunks. In such a situation, a reducer might read data half written by the 
original task and half written by the running speculative task, which will not 
be the correct contents if the mapper output is unordered. Therefore, writes by 
a single mapper might have to be transactioned, which is not clear from the 
API, and seems rather complex to reason about, so we shouldn't expect this from 
the implementer.

 

However, this doesn't affect the fundamentals of the API since we only need to 
add an additional attemptId to the storage data index (which can be stored 
within the MapStatus) to solve the problem of concurrent writes. This would 
also make it more clear that the writer should use attempt ID as an index to 
ensure that writes from speculative tasks don't interfere with one another (we 
can add that to the API docs as well).

 

From: Mridul Muralidharan <mri...@gmail.com>
Date: Wednesday, May 8, 2019 at 8:18 PM
To: "Yifei Huang (PD)" <yif...@palantir.com>
Cc: Bo Yang <b...@uber.com>, Ilan Filonenko <i...@cornell.edu>, Imran Rashid 
<iras...@cloudera.com>, Justin Uang <ju...@palantir.com>, Liang Tang 
<lat...@linkedin.com>, Marcelo Vanzin <van...@cloudera.com>, Matei Zaharia 
<matei.zaha...@gmail.com>, Matt Cheah <mch...@palantir.com>, Min Shen 
<ms...@linkedin.com>, Reynold Xin <r...@databricks.com>, Ryan Blue 
<rb...@netflix.com>, Vinoo Ganesh <vgan...@palantir.com>, Will Manning 
<wmann...@palantir.com>, "b...@fb.com" <b...@fb.com>, "dev@spark.apache.org" 
<dev@spark.apache.org>, "fel...@uber.com" <fel...@uber.com>, 
"f...@linkedin.com" <f...@linkedin.com>, "tgraves...@gmail.com" 
<tgraves...@gmail.com>, "yez...@linkedin.com" <yez...@linkedin.com>, 
"yue...@memverge.com" <yue...@memverge.com>
Subject: Re: [DISCUSS][SPARK-25299] SPIP: Shuffle storage API

 

 

Unfortunately I do not have bandwidth to do a detailed review, but a few things 
come to mind after a quick read:

 

- While it might be tactically beneficial to align with existing 
implementation, a clean design which does not tie into existing shuffle 
implementation would be preferable (if it can be done without over 
engineering). Shuffle implementation can change and there are custom 
implementations and experiments which differ quite a bit from what comes with 
Apache Spark.

 

 

- Please keep speculative execution in mind while designing the interfaces: in 
spark, implicitly due to task scheduler logic, you won’t have conflicts at an 
executor for (shuffleId, mapId) and (shuffleId, mapId, reducerId) tuple.

When you externalize it, there can be conflict : passing a way to distinguish 
different tasks for same partition would be necessary for nontrivial 
implementations.

 

 

This would be a welcome and much needed enhancement to spark- looking forward 
to its progress !

 

 

Regards,

Mridul

 

 

 

On Wed, May 8, 2019 at 11:24 AM Yifei Huang (PD) <yif...@palantir.com> wrote:

Hi everyone,

For the past several months, we have been working on an API for pluggable 
storage of shuffle data. In this SPIP, we describe the proposed API, its 
implications, and how it fits into other work being done in the Spark shuffle 
space. If you're interested in Spark shuffle, and especially if you have done 
some work in this area already, please take a look at the SPIP and give us your 
thoughts and feedback.

Jira Ticket: https://issues.apache.org/jira/browse/SPARK-25299 
[issues.apache.org]
SPIP: 
https://docs.google.com/document/d/1d6egnL6WHOwWZe8MWv3m8n4PToNacdx7n_0iMSWwhCQ/edit
 [docs.google.com]

Thank you!

Yifei Huang and Matt Cheah

 

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