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The following example uses modified_load_id 261358. The resulting XML batches will be in /tmp and will be prefixed with TEST. The logging output may be different depending on your logging configuration.
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aext --loadid=261358 --root=/tmp --prefix=TEST ## ## the results in /tmp ## ls -l /tmp/TEST*.xml -rw-r--r-- 1 root root 56626271 Apr 6 03:52 /tmp/TEST.00000001-00000001.00000500.001491465129.xml -rw-r--r-- 1 root root 68733642 Apr 6 03:52 /tmp/TEST.00000002-00000501.00001000.001491465129.xml -rw-r--r-- 1 root root 91214345 Apr 6 03:52 /tmp/TEST.00000003-00001001.00001500.001491465129.xml -rw-r--r-- 1 root root 91201427 Apr 6 03:52 /tmp/TEST.00000004-00001501.00002000.001491465129.xml -rw-r--r-- 1 root root 79966094 Apr 6 03:52 /tmp/TEST.00000005-00002001.00002500.001491465129.xml -rw-r--r-- 1 root root 86552704 Apr 6 03:52 /tmp/TEST.00000006-00002501.00003000.001491465129.xml -rw-r--r-- 1 root root 35221625 Apr 6 03:52 /tmp/TEST.00000007-00003001.00003500.001491465129.xml -rw-r--r-- 1 root root 68582397 Apr 6 03:52 /tmp/TEST.00000008-00003501.00004000.001491465129.xml -rw-r--r-- 1 root root 80311992 Apr 6 03:52 /tmp/TEST.00000009-00004001.00004500.001491465129.xml -rw-r--r-- 1 root root 17395649 Apr 6 03:52 /tmp/TEST.00000010-00004501.00004613.001491465129.xml |
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Finally, extract the documents into a predicable path structure in the current directory.
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aext --table=mySchema.t_load_261358 --archive ## ## abbreviated listing ## ./JP ./JP/B2 ./JP/B2/000H07 ./JP/B2/000H07/11 ./JP/B2/000H07/11/02 ./JP/B2/000H07/11/02/83 ./JP/B2/000H07/11/02/83/JP-H07110283-B2.xml ./JP/B2/000H07/11/56 ./JP/B2/000H07/11/56/83 ./JP/B2/000H07/11/56/83/JP-H07115683-B2.xml etc ... |
Extracting Using SQL
This example will take takes the raw SQL used to populate the private table in the example above, and use uses it directly as a parameter to to aext.
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aext --sqlq="SELECT t.publication_id from xml.t_patent_document_values as t where t.modified_load_id=261358" \
--archive \
--root=/tmp |
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If the optional CLAIMS Direct SOLR instance is installed, the power of SOLR can be used to search, filter, and extract documents. This example will simply pull pulls the same set of documents as above using SOLR query syntax.
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Extracting Using a Custom Database Function
The following example will describe describes a use-case in which only CPC classifications are of interest. It will make makes use of a custom extract function created in a private schema.
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