Re: spark.lapply in SparkR: Error in writeBin(batch, con, endian = "big")

[Felix Cheung]

The reason your second example works is because of a closure capture behavior. 
It should be ok for a small amount of data.

You could also use SparkR:::broadcast but please keep in mind that is not 
public API we actively support.

Thank you for the information on formula - I will test that out. Please note 
that SparkR code is now at

https://github.com/apache/spark/tree/master/R
_
From: Cinquegrana, Piero 
<piero.cinquegr...@neustar.biz<mailto:piero.cinquegr...@neustar.biz>>
Sent: Thursday, August 25, 2016 6:08 AM
Subject: RE: spark.lapply in SparkR: Error in writeBin(batch, con, endian = 
"big")
To: <user@spark.apache.org<mailto:user@spark.apache.org>>, Felix Cheung 
<felixcheun...@hotmail.com<mailto:felixcheun...@hotmail.com>>


I tested both in local and cluster mode and the ‘<<-‘ seemed to work at least 
for small data. Or am I missing something? Is there a way for me to test? If 
that does not work, can I use something like this?

sc <- SparkR:::getSparkContext()
bcStack <- SparkR:::broadcast(sc,stack)

I realized that the error: Error in writeBin(batch, con, endian = "big")

Was due to an object within the ‘parameters’ list which was a R formula.

When the spark.lapply method calls the parallelize method, it splits the list 
and calls the SparkR:::writeRaw method, which tries to convert from formula to 
binary exploding the size of the object being passed.

https://github.com/amplab-extras/SparkR-pkg/blob/master/pkg/R/serialize.R

From: Felix Cheung [mailto:felixcheun...@hotmail.com]
Sent: Thursday, August 25, 2016 2:35 PM
To: Cinquegrana, Piero 
<piero.cinquegr...@neustar.biz<mailto:piero.cinquegr...@neustar.biz>>; 
user@spark.apache.org<mailto:user@spark.apache.org>
Subject: Re: spark.lapply in SparkR: Error in writeBin(batch, con, endian = 
"big")

Hmm <<-- wouldn't work in cluster mode. Are you running spark in local mode?

In any case, I tried running your earlier code and it worked for me on a 250MB 
csv:

scoreModel <- function(parameters){
   library(data.table) # I assume this should data.table
   dat <- data.frame(fread(“file.csv”))
   score(dat,parameters)
}
parameterList <- lapply(1:100, function(i) getParameters(i))
modelScores <- spark.lapply(parameterList, scoreModel)

Could you provide more information on your actual code?

_
From: Cinquegrana, Piero 
<piero.cinquegr...@neustar.biz<mailto:piero.cinquegr...@neustar.biz>>
Sent: Wednesday, August 24, 2016 10:37 AM
Subject: RE: spark.lapply in SparkR: Error in writeBin(batch, con, endian = 
"big")
To: Cinquegrana, Piero 
<piero.cinquegr...@neustar.biz<mailto:piero.cinquegr...@neustar.biz>>, Felix 
Cheung <felixcheun...@hotmail.com<mailto:felixcheun...@hotmail.com>>, 
<user@spark.apache.org<mailto:user@spark.apache.org>>



Hi Spark experts,

I was able to get around the broadcast issue by using a global assignment ‘<<-‘ 
instead of reading the data locally. However, I still get the following error:

Error in writeBin(batch, con, endian = "big") :
  attempting to add too many elements to raw vector


Pseudo code:

scoreModel <- function(parameters){
   library(score)
   score(dat,parameters)
}

dat <<- read.csv(‘file.csv’)
modelScores <- spark.lapply(parameterList, scoreModel)

From: Cinquegrana, Piero [mailto:piero.cinquegr...@neustar.biz]
Sent: Tuesday, August 23, 2016 2:39 PM
To: Felix Cheung 
<felixcheun...@hotmail.com<mailto:felixcheun...@hotmail.com>>;user@spark.apache.org<mailto:user@spark.apache.org>
Subject: RE: spark.lapply in SparkR: Error in writeBin(batch, con, endian = 
"big")

The output from score() is very small, just a float. The input, however, could 
be as big as several hundred MBs. I would like to broadcast the dataset to all 
executors.

Thanks,
Piero

From: Felix Cheung [mailto:felixcheun...@hotmail.com]
Sent: Monday, August 22, 2016 10:48 PM
To: Cinquegrana, Piero 
<piero.cinquegr...@neustar.biz<mailto:piero.cinquegr...@neustar.biz>>;user@spark.apache.org<mailto:user@spark.apache.org>
Subject: Re: spark.lapply in SparkR: Error in writeBin(batch, con, endian = 
"big")

How big is the output from score()?

Also could you elaborate on what you want to broadcast?


On Mon, Aug 22, 2016 at 11:58 AM -0700, "Cinquegrana, Piero" 
<piero.cinquegr...@neustar.biz<mailto:piero.cinquegr...@neustar.biz>> wrote:
Hello,

I am using the new R API in SparkR spark.lapply (spark 2.0). I am defining a 
complex function to be run across executors and I have to send the entire 
dataset, but there is not (that I could find) a way to broadcast the variable 
in SparkR. I am thus reading the dataset in each executor from disk, but I 
getting t

RE: spark.lapply in SparkR: Error in writeBin(batch, con, endian = "big")

[Cinquegrana, Piero]

I tested both in local and cluster mode and the '<<-' seemed to work at least 
for small data. Or am I missing something? Is there a way for me to test? If 
that does not work, can I use something like this?

sc <- SparkR:::getSparkContext()
bcStack <- SparkR:::broadcast(sc,stack)

I realized that the error: Error in writeBin(batch, con, endian = "big")

Was due to an object within the 'parameters' list which was a R formula.

When the spark.lapply method calls the parallelize method, it splits the list 
and calls the SparkR:::writeRaw method, which tries to convert from formula to 
binary exploding the size of the object being passed.

https://github.com/amplab-extras/SparkR-pkg/blob/master/pkg/R/serialize.R

From: Felix Cheung [mailto:felixcheun...@hotmail.com]
Sent: Thursday, August 25, 2016 2:35 PM
To: Cinquegrana, Piero <piero.cinquegr...@neustar.biz>; user@spark.apache.org
Subject: Re: spark.lapply in SparkR: Error in writeBin(batch, con, endian = 
"big")

Hmm <<-- wouldn't work in cluster mode. Are you running spark in local mode?

In any case, I tried running your earlier code and it worked for me on a 250MB 
csv:

scoreModel <- function(parameters){
   library(data.table) # I assume this should data.table
   dat <- data.frame(fread("file.csv"))
   score(dat,parameters)
}
parameterList <- lapply(1:100, function(i) getParameters(i))
modelScores <- spark.lapply(parameterList, scoreModel)

Could you provide more information on your actual code?

_
From: Cinquegrana, Piero 
<piero.cinquegr...@neustar.biz<mailto:piero.cinquegr...@neustar.biz>>
Sent: Wednesday, August 24, 2016 10:37 AM
Subject: RE: spark.lapply in SparkR: Error in writeBin(batch, con, endian = 
"big")
To: Cinquegrana, Piero 
<piero.cinquegr...@neustar.biz<mailto:piero.cinquegr...@neustar.biz>>, Felix 
Cheung <felixcheun...@hotmail.com<mailto:felixcheun...@hotmail.com>>, 
<user@spark.apache.org<mailto:user@spark.apache.org>>



Hi Spark experts,

I was able to get around the broadcast issue by using a global assignment '<<-' 
instead of reading the data locally. However, I still get the following error:

Error in writeBin(batch, con, endian = "big") :
  attempting to add too many elements to raw vector


Pseudo code:

scoreModel <- function(parameters){
   library(score)
   score(dat,parameters)
}

dat <<- read.csv('file.csv')
modelScores <- spark.lapply(parameterList, scoreModel)

From: Cinquegrana, Piero [mailto:piero.cinquegr...@neustar.biz]
Sent: Tuesday, August 23, 2016 2:39 PM
To: Felix Cheung <felixcheun...@hotmail.com<mailto:felixcheun...@hotmail.com>>; 
user@spark.apache.org<mailto:user@spark.apache.org>
Subject: RE: spark.lapply in SparkR: Error in writeBin(batch, con, endian = 
"big")

The output from score() is very small, just a float. The input, however, could 
be as big as several hundred MBs. I would like to broadcast the dataset to all 
executors.

Thanks,
Piero

From: Felix Cheung [mailto:felixcheun...@hotmail.com]
Sent: Monday, August 22, 2016 10:48 PM
To: Cinquegrana, Piero 
<piero.cinquegr...@neustar.biz<mailto:piero.cinquegr...@neustar.biz>>;user@spark.apache.org<mailto:user@spark.apache.org>
Subject: Re: spark.lapply in SparkR: Error in writeBin(batch, con, endian = 
"big")

How big is the output from score()?

Also could you elaborate on what you want to broadcast?


On Mon, Aug 22, 2016 at 11:58 AM -0700, "Cinquegrana, Piero" 
<piero.cinquegr...@neustar.biz<mailto:piero.cinquegr...@neustar.biz>> wrote:
Hello,

I am using the new R API in SparkR spark.lapply (spark 2.0). I am defining a 
complex function to be run across executors and I have to send the entire 
dataset, but there is not (that I could find) a way to broadcast the variable 
in SparkR. I am thus reading the dataset in each executor from disk, but I 
getting the following error:

Error in writeBin(batch, con, endian = "big") :
  attempting to add too many elements to raw vector

Any idea why this is happening?

Pseudo code:

scoreModel <- function(parameters){
   library(read.table)
   dat <- data.frame(fread("file.csv"))
   score(dat,parameters)
}

parameterList <- lapply(1:numModels, function(i) getParameters(i))

modelScores <- spark.lapply(parameterList, scoreModel)


Piero Cinquegrana
MarketShare: A Neustar Solution /Data Science
Mobile:+39.329.17.62.539/www.neustar.biz<http://www.neustar.biz/>
Reduceyour environmental footprint. Print only if necessary.
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Re: spark.lapply in SparkR: Error in writeBin(batch, con, endian = "big")

[Felix Cheung]

Hmm <<-- wouldn't work in cluster mode. Are you running spark in local mode?

In any case, I tried running your earlier code and it worked for me on a 250MB 
csv:

scoreModel <- function(parameters){
   library(data.table) # I assume this should data.table
   dat <- data.frame(fread(“file.csv”))
   score(dat,parameters)
}
parameterList <- lapply(1:100, function(i) getParameters(i))
modelScores <- spark.lapply(parameterList, scoreModel)

Could you provide more information on your actual code?

_
From: Cinquegrana, Piero 
<piero.cinquegr...@neustar.biz<mailto:piero.cinquegr...@neustar.biz>>
Sent: Wednesday, August 24, 2016 10:37 AM
Subject: RE: spark.lapply in SparkR: Error in writeBin(batch, con, endian = 
"big")
To: Cinquegrana, Piero 
<piero.cinquegr...@neustar.biz<mailto:piero.cinquegr...@neustar.biz>>, Felix 
Cheung <felixcheun...@hotmail.com<mailto:felixcheun...@hotmail.com>>, 
<user@spark.apache.org<mailto:user@spark.apache.org>>


Hi Spark experts,

I was able to get around the broadcast issue by using a global assignment ‘<<-‘ 
instead of reading the data locally. However, I still get the following error:

Error in writeBin(batch, con, endian = "big") :
  attempting to add too many elements to raw vector


Pseudo code:

scoreModel <- function(parameters){
   library(score)
   score(dat,parameters)
}

dat <<- read.csv(‘file.csv’)
modelScores <- spark.lapply(parameterList, scoreModel)

From: Cinquegrana, Piero [mailto:piero.cinquegr...@neustar.biz]
Sent: Tuesday, August 23, 2016 2:39 PM
To: Felix Cheung <felixcheun...@hotmail.com<mailto:felixcheun...@hotmail.com>>; 
user@spark.apache.org<mailto:user@spark.apache.org>
Subject: RE: spark.lapply in SparkR: Error in writeBin(batch, con, endian = 
"big")

The output from score() is very small, just a float. The input, however, could 
be as big as several hundred MBs. I would like to broadcast the dataset to all 
executors.

Thanks,
Piero

From: Felix Cheung [mailto:felixcheun...@hotmail.com]
Sent: Monday, August 22, 2016 10:48 PM
To: Cinquegrana, Piero 
<piero.cinquegr...@neustar.biz<mailto:piero.cinquegr...@neustar.biz>>;user@spark.apache.org<mailto:user@spark.apache.org>
Subject: Re: spark.lapply in SparkR: Error in writeBin(batch, con, endian = 
"big")

How big is the output from score()?

Also could you elaborate on what you want to broadcast?


On Mon, Aug 22, 2016 at 11:58 AM -0700, "Cinquegrana, Piero" 
<piero.cinquegr...@neustar.biz<mailto:piero.cinquegr...@neustar.biz>> wrote:
Hello,

I am using the new R API in SparkR spark.lapply (spark 2.0). I am defining a 
complex function to be run across executors and I have to send the entire 
dataset, but there is not (that I could find) a way to broadcast the variable 
in SparkR. I am thus reading the dataset in each executor from disk, but I 
getting the following error:

Error in writeBin(batch, con, endian = "big") :
  attempting to add too many elements to raw vector

Any idea why this is happening?

Pseudo code:

scoreModel <- function(parameters){
   library(read.table)
   dat <- data.frame(fread(“file.csv”))
   score(dat,parameters)
}

parameterList <- lapply(1:numModels, function(i) getParameters(i))

modelScores <- spark.lapply(parameterList, scoreModel)


Piero Cinquegrana
MarketShare: A Neustar Solution /Data Science
Mobile:+39.329.17.62.539/www.neustar.biz<http://www.neustar.biz/>
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RE: spark.lapply in SparkR: Error in writeBin(batch, con, endian = "big")

[Cinquegrana, Piero]

Hi Spark experts,

I was able to get around the broadcast issue by using a global assignment '<<-' 
instead of reading the data locally. However, I still get the following error:

Error in writeBin(batch, con, endian = "big") :
  attempting to add too many elements to raw vector


Pseudo code:

scoreModel <- function(parameters){
   library(score)
   score(dat,parameters)
}

dat <<- read.csv('file.csv')
modelScores <- spark.lapply(parameterList, scoreModel)

From: Cinquegrana, Piero [mailto:piero.cinquegr...@neustar.biz]
Sent: Tuesday, August 23, 2016 2:39 PM
To: Felix Cheung <felixcheun...@hotmail.com>; user@spark.apache.org
Subject: RE: spark.lapply in SparkR: Error in writeBin(batch, con, endian = 
"big")

The output from score() is very small, just a float. The input, however, could 
be as big as several hundred MBs. I would like to broadcast the dataset to all 
executors.

Thanks,
Piero

From: Felix Cheung [mailto:felixcheun...@hotmail.com]
Sent: Monday, August 22, 2016 10:48 PM
To: Cinquegrana, Piero 
<piero.cinquegr...@neustar.biz<mailto:piero.cinquegr...@neustar.biz>>; 
user@spark.apache.org<mailto:user@spark.apache.org>
Subject: Re: spark.lapply in SparkR: Error in writeBin(batch, con, endian = 
"big")

How big is the output from score()?

Also could you elaborate on what you want to broadcast?


On Mon, Aug 22, 2016 at 11:58 AM -0700, "Cinquegrana, Piero" 
<piero.cinquegr...@neustar.biz<mailto:piero.cinquegr...@neustar.biz>> wrote:
Hello,

I am using the new R API in SparkR spark.lapply (spark 2.0). I am defining a 
complex function to be run across executors and I have to send the entire 
dataset, but there is not (that I could find) a way to broadcast the variable 
in SparkR. I am thus reading the dataset in each executor from disk, but I 
getting the following error:

Error in writeBin(batch, con, endian = "big") :
  attempting to add too many elements to raw vector

Any idea why this is happening?

Pseudo code:

scoreModel <- function(parameters){
   library(read.table)
   dat <- data.frame(fread("file.csv"))
   score(dat,parameters)
}

parameterList <- lapply(1:numModels, function(i) getParameters(i))

modelScores <- spark.lapply(parameterList, scoreModel)


Piero Cinquegrana
MarketShare: A Neustar Solution / Data Science
Mobile: +39.329.17.62.539 / www.neustar.biz<http://www.neustar.biz/>
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MarketShare: A Neustar Solution / Data Science
Mobile: +39.329.17.62.539 / www.neustar.biz<http://www.neustar.biz/>
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RE: spark.lapply in SparkR: Error in writeBin(batch, con, endian = "big")

[Cinquegrana, Piero]

The output from score() is very small, just a float. The input, however, could 
be as big as several hundred MBs. I would like to broadcast the dataset to all 
executors.

Thanks,
Piero

From: Felix Cheung [mailto:felixcheun...@hotmail.com]
Sent: Monday, August 22, 2016 10:48 PM
To: Cinquegrana, Piero <piero.cinquegr...@neustar.biz>; user@spark.apache.org
Subject: Re: spark.lapply in SparkR: Error in writeBin(batch, con, endian = 
"big")

How big is the output from score()?

Also could you elaborate on what you want to broadcast?



On Mon, Aug 22, 2016 at 11:58 AM -0700, "Cinquegrana, Piero" 
<piero.cinquegr...@neustar.biz<mailto:piero.cinquegr...@neustar.biz>> wrote:
Hello,

I am using the new R API in SparkR spark.lapply (spark 2.0). I am defining a 
complex function to be run across executors and I have to send the entire 
dataset, but there is not (that I could find) a way to broadcast the variable 
in SparkR. I am thus reading the dataset in each executor from disk, but I 
getting the following error:

Error in writeBin(batch, con, endian = "big") :
  attempting to add too many elements to raw vector

Any idea why this is happening?

Pseudo code:

scoreModel <- function(parameters){
   library(read.table)
   dat <- data.frame(fread("file.csv"))
   score(dat,parameters)
}

parameterList <- lapply(1:numModels, function(i) getParameters(i))

modelScores <- spark.lapply(parameterList, scoreModel)


Piero Cinquegrana
MarketShare: A Neustar Solution / Data Science
Mobile: +39.329.17.62.539 / www.neustar.biz<http://www.neustar.biz/>
Reduce your environmental footprint. Print only if necessary.
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Re: spark.lapply in SparkR: Error in writeBin(batch, con, endian = "big")

[Felix Cheung]

How big is the output from score()?

Also could you elaborate on what you want to broadcast?





On Mon, Aug 22, 2016 at 11:58 AM -0700, "Cinquegrana, Piero" 
> wrote:

Hello,

I am using the new R API in SparkR spark.lapply (spark 2.0). I am defining a 
complex function to be run across executors and I have to send the entire 
dataset, but there is not (that I could find) a way to broadcast the variable 
in SparkR. I am thus reading the dataset in each executor from disk, but I 
getting the following error:

Error in writeBin(batch, con, endian = "big") :
  attempting to add too many elements to raw vector

Any idea why this is happening?

Pseudo code:

scoreModel <- function(parameters){
   library(read.table)
   dat <- data.frame(fread("file.csv"))
   score(dat,parameters)
}

parameterList <- lapply(1:numModels, function(i) getParameters(i))

modelScores <- spark.lapply(parameterList, scoreModel)


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