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@download should process SPARQL results in a streaming way #3

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ziorufus opened this issue Feb 11, 2015 · 0 comments
Open

@download should process SPARQL results in a streaming way #3

ziorufus opened this issue Feb 11, 2015 · 0 comments
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@ziorufus
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When downloading from Virtuoso, the full response is buffered by HttpClient / Sesame leading to OutOfMemory if a large amount of data is fetched.
Solving the issue will require revising Sesame HTTPClient class. Considered the number of dependencies imported by that class and its limited use in RDFpro, it is better to reimplement SPARQL IO directly in DownloadProcessor and UploadProcessor (possibly importing SPARQL XML parser from Sesame).

@ziorufus ziorufus added the bug label Feb 11, 2015
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