Hi,

I am now able to upload the JSON document obtained from Perceval to
ElasticSearch and then query it again to get the results. Below is my
output:-

----------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------

>>> es_result = es.search(index="messages",
doc_type="summary",body={"query":{"match":{"from": "Konrad Rzeszutek Wilk <
konrad.w...@oracle.com>"}}})

>>> print(es_result)

{'took': 13, 'timed_out': False, '_shards': {'total': 5, 'successful': 5,
'failed': 0}, 'hits': {'total': 48, 'max_score': 9.135099, 'hits':
[{'_index': 'messages', '_type': 'summary', '_id': 'AVtR-Nw_GwYUfHJIT4Q4',
'_score': 9.135099, '_source': {'from': 'Konrad Rzeszutek Wilk <
konrad.w...@oracle.com>', 'subject': 'Re: [xen-tct] Roadmap for
QEMU-traditional', 'date': '2014-04-18T17:01:08-04:00'}}, {'_index':
'messages', '_type': 'summary', '_id': 'AVtSJjdrGwYUfHJIT4SE', '_score':
9.135099, '_source': {'from': 'Konrad Rzeszutek Wilk <konrad.w...@oracle.com>',
'subject': 'Re: [xen-tct] [AGENDA] Monthly Xen.org Technical Call (April
9)', 'date': '2014-04-09T09:45:26-04:00'}}, {'_index': 'messages', '_type':
'summary', '_id': 'AVtSJjgkGwYUfHJIT4SZ', '_score': 9.135099, '_source':
{'from': 'Konrad Rzeszutek Wilk <konrad.w...@oracle.com>', 'subject': 'Re:
[xen-tct] Roadmap for QEMU-traditional', 'date':
'2014-04-18T10:01:42-04:00'}}, {'_index': 'messages', '_type': 'summary',
'_id': 'AVtSJjgtGwYUfHJIT4Sa', '_score': 9.135099, '_source': {'from':
'Konrad Rzeszutek Wilk <konrad.w...@oracle.com>', 'subject': 'Re: [xen-tct]
Roadmap for QEMU-traditional', 'date': '2014-04-18T10:01:42-04:00'}},
{'_index': 'messages', '_type': 'summary', '_id': 'AVtSJjhRGwYUfHJIT4Se',
'_score': 9.135099, '_source': {'from': 'Konrad Rzeszutek Wilk <
konrad.w...@oracle.com>', 'subject': 'Re: [xen-tct] Roadmap for
QEMU-traditional', 'date': '2014-04-18T17:01:08-04:00'}}, {'_index':
'messages', '_type': 'summary', '_id': 'AVtSNDuSGwYUfHJIT4S_', '_score':
9.135099, '_source': {'from': 'Konrad Rzeszutek Wilk <konrad.w...@oracle.com>',
'subject': 'Re: [xen-tct] Roadmap for QEMU-traditional', 'date':
'2014-04-18T10:01:42-04:00'}}, {'_index': 'messages', '_type': 'summary',
'_id': 'AVtSNNd8GwYUfHJIT4TI', '_score': 9.135099, '_source': {'from':
'Konrad Rzeszutek Wilk <konrad.w...@oracle.com>', 'subject': 'Re: [xen-tct]
[AGENDA] Monthly Xen.org Technical Call (April 9)', 'date':
'2014-04-09T09:45:26-04:00'}}, {'_index': 'messages', '_type': 'summary',
'_id': 'AVtSIzL-GwYUfHJIT4RE', '_score': 9.05406, '_source': {'from':
'Konrad Rzeszutek Wilk <konrad.w...@oracle.com>', 'subject': 'Re: [xen-tct]
[AGENDA] Monthly Xen.org Technical Call (April 9)', 'date':
'2014-04-09T09:45:26-04:00'}}, {'_index': 'messages', '_type': 'summary',
'_id': 'AVtR9q9ZGwYUfHJIT4QU', '_score': 9.05406, '_source': {'from':
'Konrad Rzeszutek Wilk <konrad.w...@oracle.com>', 'subject': 'Re: [xen-tct]
Roadmap for QEMU-traditional', 'date': '2014-04-18T10:01:42-04:00'}},
{'_index': 'messages', '_type': 'summary', '_id': 'AVtR9q-JGwYUfHJIT4QZ',
'_score': 9.05406, '_source': {'from': 'Konrad Rzeszutek Wilk <
konrad.w...@oracle.com>', 'subject': 'Re: [xen-tct] Roadmap for
QEMU-traditional', 'date': '2014-04-18T17:01:08-04:00'}}]}}

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I am still working on parsing of the arguments. Also, how do I proceed
next? I will have to annotate the threads and then upload it again to
ElasticSearch with the messageIDs? What is the algorithm to be used?


thanks

Vaishnavi
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