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https://issues.apache.org/jira/browse/JENA-178?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13171560#comment-13171560
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Damian Steer commented on JENA-178:
-----------------------------------

I've also found that the BufferingWriter is using Bytes.toByteBuffer() on each 
write. This allocates then deallocates a char encoder from a pool, which 
appears to be relatively expensive. Perhaps BufferingWriter should buffer 
characters, then convert just before writing?
                
> SPARQL Results serialization is slow for some formats with large result sets
> ----------------------------------------------------------------------------
>
>                 Key: JENA-178
>                 URL: https://issues.apache.org/jira/browse/JENA-178
>             Project: Jena
>          Issue Type: Bug
>          Components: ARQ
>    Affects Versions: ARQ 2.8.9
>         Environment: Windows 7 Enterprise 64 bit
>            Reporter: Rob Vesse
>         Attachments: Jena178.java, TestArqSerializerPerformance.java, 
> XMLOutputSAX.java, XMLOutputStAX.java
>
>
> The SPARQL XML and JSON Result formats are very slow when the result set is 
> large.  This is surprising to me since both formats are relatively simple and 
> should lend themselves to fairly fast streaming serialization and parsing.
> The following are observed performance figures comparing SPARQL XML, SPARQL 
> JSON and SPARQL TSV results format.  This is the averaged time over 5 runs to 
> retrieve the first 50,000 triples from the dataset with a simple SELECT * 
> WHERE { ?s ?p ?o } LIMIT 50000 via a HTTP request to Fuseki and iterate over 
> the results on the client.
> SPARQL XML = 15.25 seconds
> SPARQL JSON = 10.9 seconds
> SPARQL TSV = 0.54 seconds
> Now obviously TSV is way simpler to serialize and parse than XML/JSON but 
> these serializers and parsers should not be 20-30 times slower IMO
> Also for comparison note that doing an equivalent CONSTRUCT { ?s ?p ?p } 
> WHERE { ?s ?p ?o } LIMIT 50000 takes only about 2s and that is using RDF/XML 
> serialization which I would have expected to be slower because RDF/XML is 
> more complex to generate than either SPARQL XML/JSON results.  I haven't 
> dived into the code in detail to investigate why this is slow yet but do the 
> Jena team have any thoughts on this?

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