global: ES refactoring in aggregations #6
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nharraud
reviewed
Jul 18, 2017
invenio_stats/tasks.py
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| _source=aggregation_data) | ||
| yield tobeindexed | ||
| self.agg_query = Search(using=self.client, | ||
| index='events-stats-file-download').\ |
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hard coded event name in the index.
nharraud
reviewed
Jul 18, 2017
| self.agg_query.aggs.bucket('per_{}'.format(self.aggregation_interval), | ||
| 'date_histogram', | ||
| field='timestamp', | ||
| interval=self.aggregation_interval) |
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How does this scale with many files? The result would be huge if you ask a year with aggregation_interval='day'
* FIXES the querying in the aggregation tasks to use elasticsearch date range, and aggregate over yearly, monthly or daily intervals Signed-off-by: Dinos Kousidis <konstantinos.kousidis@cern.ch>
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date range, and aggregate over yearly, monthly or daily intervals