Yes. That was the main reason I wanted to update from 2.6.0. Being able to
examine the Json CAS, it took about half an hour to track down the problem.
If I had to hunt blind, it would have taken forever. I had already profiled
all the code for real and potential memory leaks, but this was one that
didn't show up.
Thanks / Dan
-----Original Message-----
From: Marshall Schor [mailto:msa@schor.com]
Sent: Wednesday, January 13, 2016 2:27 PM
To: user@uima.apache.org
Subject: Re: CAS serializationWithCompression
Great! Glad to see some use is being made of JSON :-).
-Marshall
On 1/13/2016 2:05 PM, D. Heinze wrote:
> Found the problem by serializing the CAS to Json. The CAS sofaText
> was acting like a pushdown stack and accumulating the full text of
> each successive document due to an input stream and buffer not getting
> properly closed/cleared between iterations.
>
> Thanks / Dan
>
> -----Original Message-----
> From: D. Heinze [mailto:dheinze@gnoetics.com]
> Sent: Tuesday, January 12, 2016 2:13 PM
> To: user@uima.apache.org
> Subject: RE: CAS serializationWithCompression
>
> Thanks Marshall. Will do. I just completed upgrading from UIMA 2.6.0
> to
> 2.8.1 just to make sure there were no issues there. Will now get back
> to the CAS serialization issue. Yes, I've been trying to think of
> where there could be retained junk that is getting added back into the
> CAS with each iteration.
>
> -Dan
>
> -----Original Message-----
> From: Marshall Schor [mailto:msa@schor.com]
> Sent: Tuesday, January 12, 2016 11:56 AM
> To: user@uima.apache.org
> Subject: Re: CAS serializationWithCompression
>
> hmmm, seems like unusual behavior.
>
> It would help a lot to diagnose this if you could construct a small
> test case - one which perhaps creates a cas, fills it with a bit of
> data, does the compressed serialization, resets the cas, and loops and
> see if that produces "expanding" serializations.
>
> -- if it does, please post the test case to a Jira and we'll
> diagnose / fix this :-)
>
> -- if it doesn't, then you have to get closer to your actual use
> case and iterate until you see what it is that you last added that
> starts making it serialize ever-expanding instances. That will be a big
clue, I think.
>
> -Marshall
>
> On 1/12/2016 10:54 AM, D. Heinze wrote:
>> The CAS.size() starts as larger than the serializedWithCompression
>> version, but eventually the serializedWithCompression version grows
>> to be larger than the CAS.size().
>> The overall process is:
>> * Create a new CAS
>> * Read in an xml document and store the structure and content in the cas.
>> * Tokenize and parse the document and store that info in the cas.
>> * Run a number of lexical engines and ConceptMapper engines on the
>> data and store that info in the cas
>> * Produce an xml document with the content of the original input
>> document marked up with the analysis results and both write that out
>> to a file and also store it in the cas
>> * serializeWithCompression to a FileOutputStream
>> * cas.reset()
>> * iterate on the next input document
>> All the work other than creating and cas.reset() is done using the JCas.
>> Even though the output CASes keep getting larger, they seem to
>> deserialize just fine and are usable.
>> Thanks/Dan
>>
>> -----Original Message-----
>> From: Richard Eckart de Castilho [mailto:rec@apache.org]
>> Sent: Tuesday, January 12, 2016 2:45 AM
>> To: user@uima.apache.org
>> Subject: Re: CAS serializationWithCompression
>>
>> Is the CAS.size() larger than the serialized version or smaller?
>> What are you actually doing to the CAS? Just
>> serializing/deserializing a couple of times in a row, or do you actually
add feature structures?
>> The sample code you show doesn't give any hint about where the CAS
>> comes from and what is being done with it.
>>
>> -- Richard
>>
>>> On 12.01.2016, at 03:06, D. Heinze <dheinze@gnoetics.com> wrote:
>>>
>>> I'm having a problem with CAS serializationWithCompression. I am
>>> processing a few million text document on an IBM P8 with 16 physical
>>> SMTP 8 cpus, 200GB RAM, Ubuntu 14.04.3 LTS and IBM Java 1.8.
>>>
>>> I run 55 UIMA pipelines concurrently. I'm using UIMA 2.6.0.
>>>
>>> I use serializeWithCompression to save the final state of the
>>> processing on each document to a file for later processing.
>>>
>>> However, the size of the serialized CAS just keeps growing. The
>>> size of the CAS is stable, but the serialized CASes just keep
>>> getting bigger. I even went to creating a new CAS for each process
>>> instead of using cas.reset(). I have also tried writing the
>>> serialized CAS to a byte array output stream first and then to a
>>> file, but it is the serializeWithCompression that caused the size
>>> problem not writing the
>> file.
>>> Here's what the code looks like. Flushing or not flushing does not
>>> make a difference. Closing or not closing the file output strem
>>> does not make a difference (other than leaking memory). I've also
>>> tried doing serializeWithCompression with type filtering. Wanted to
>>> try using a Marker, but cannot see how to do that. The problem
>>> exists regardless of doing 1 or
>>> 55 pipelines concurrently.
>>>
>>>
>>>
>>> File fout = new File(documentPath);
>>>
>>> fos = new FileOutputStream(fout);
>>>
>>>
>>> org.apache.uima.cas.impl.Serialization.serializeWithCompression(
>>> cas, fos);
>>>
>>> fos.flush();
>>>
>>> fos.close();
>>>
>>> logger.info( "serializedCas size " + cas.size() + " ToFile "
>>> + documentPath);
>>>
>>>
>>>
>>> Suggestions will be appreciated.
>>>
>>>
>>>
>>> Thanks / Dan
>>>
>>>
>>>
>
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