2018-11-10 13:26:39 +00:00
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SELECT q.timestamp, q.hotness,
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2018-11-10 12:45:48 +00:00
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(LEAST(COUNT(a.*), 10) * (q.up_votes - q.down_votes) / 5.0 + SUM(a.up_votes - a.down_votes)) /
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(GREATEST(DATE_PART('day', q.timestamp - qq.createddate) * 24 +
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2018-11-10 13:22:14 +00:00
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DATE_PART('hour', q.timestamp - qq.createddate) + 1, 6) ^ 1.4) *
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CASE q.site WHEN 'workplace' THEN 0.55 WHEN 'softwareengineering' THEN 0.55 WHEN 'stackoverflow' THEN 0.2 ELSE 1 END
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AS calculated_hotness,
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q.hotness / (
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(LEAST(COUNT(a.*), 10) * (q.up_votes - q.down_votes) / 5.0 + SUM(a.up_votes - a.down_votes)) /
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(GREATEST(DATE_PART('day', q.timestamp - qq.createddate) * 24 +
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DATE_PART('hour', q.timestamp - qq.createddate) + 1, 6) ^ 1.4) *
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CASE q.site WHEN 'workplace' THEN 0.55 WHEN 'softwareengineering' THEN 0.55 WHEN 'stackoverflow' THEN 0.2 ELSE 1 END)
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AS calculated_traffic_factor,
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2018-11-10 12:45:48 +00:00
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2018-11-10 13:22:14 +00:00
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q.views, s.visits AS traffic
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2018-11-10 12:45:48 +00:00
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FROM snapshots AS q INNER JOIN questions AS qq
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ON q.site = qq.site AND q.question = qq.id
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INNER JOIN sites AS s ON q.site = s.name
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INNER JOIN snapshots_answers AS a
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ON q.site = a.site AND q.question = a.question AND q.timestamp = a.timestamp
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2018-11-10 13:26:39 +00:00
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WHERE q.site = 'history' AND q.question = 49243
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2018-11-10 12:45:48 +00:00
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GROUP BY q.site, q.question, q.timestamp, qq.createddate, s.visits
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2018-11-10 13:26:39 +00:00
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ORDER BY q.timestamp DESC
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