uima-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Richard Eckart de Castilho <eck...@ukp.informatik.tu-darmstadt.de>
Subject CAS serialization performance: XMI vs. Java serialization
Date Wed, 15 Aug 2012 08:09:29 GMT

I am looking for a way to improve loading times in an application, so I did a little experiment
with binary CAS serialization to see if it was superior to XMI serialization. For serialization
I used the CASCompleteSerializer to serialize the type-system and heaps into the same file
using Java object serialization - at least that is what I understood it should do. To read
in these files, I would deserialize the CASCompleteSerializer and initialize a CAS from it
using CASImpl.reinit().

96.400 files

plain text (uncompressed)      :                 581.865.593 Byte
binary (serialized java, gzip) : 0:47:02.835   3.555.449.597 Byte 
xmi (gzip)                     : 1:20:31.535   4.712.633.769 Byte

So binary takes about 60% of the time xmi serialization would need and uses about 75% of the
I didn't do reading experiment yet, but I suppose the improvement should be on a similar level,
if not better.

I am also not sure yet about the draw-backs of binary serialization and in which scenarios
they apply. The draw-backs I saw so far are:

- Type-system is stored redudantly in every output file.
- The type system configured with CASImpl.reinit() may be different from the one which was
used to initialize the pipeline, CAS-based annotators relying on typeSystemInit() may not
be configured with the correct types - this is a hypothesis I didn't test.
- Serialized Java objects may become due to refactoring within the UIMA framework. However,
there is yet another binary CAS serialization in UIMA which uses the DataOutputStream and
may be more stable.

Did anybody ever use any form of binary CAS serialization outside Vinci/UIMA-AS?


-- Richard

Richard Eckart de Castilho
Technical Lead
Ubiquitous Knowledge Processing Lab (UKP-TUD) 
FB 20 Computer Science Department      
Technische Universit├Ąt Darmstadt 
Hochschulstr. 10, D-64289 Darmstadt, Germany 
phone [+49] (0)6151 16-7477, fax -5455, room S2/02/B117
Web Research at TU Darmstadt (WeRC) www.werc.tu-darmstadt.de

View raw message