forked from D-Net/dnet-hadoop
20 lines
1.3 KiB
SQL
20 lines
1.3 KiB
SQL
DROP TABLE IF EXISTS ${stats_db_name}.project;
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CREATE TABLE ${stats_db_name}.project stored as parquet as
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SELECT p.id , p.acronym, p.title, p.funder, p.funding_lvl0, p.funding_lvl1, p.funding_lvl2, p.ec39, p.type, p.startdate, p.enddate, p.start_year, p.end_year, p.duration,
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CASE WHEN prr1.id IS NULL THEN 'no' ELSE 'yes' END as haspubs,
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CASE WHEN prr1.id IS NULL THEN 0 ELSE prr1.np END as numpubs,
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CASE WHEN prr2.id IS NULL THEN 0 ELSE prr2.daysForlastPub END as daysforlastpub,
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CASE WHEN prr2.id IS NULL THEN 0 ELSE prr2.dp END as delayedpubs,
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p.callidentifier, p.code
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FROM ${stats_db_name}.project_tmp p
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LEFT JOIN (SELECT pr.id, count(distinct pr.result) AS np
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FROM ${stats_db_name}.project_results pr INNER JOIN ${stats_db_name}.result r ON pr.result=r.id
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WHERE r.type='publication'
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GROUP BY pr.id) AS prr1 on prr1.id = p.id
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LEFT JOIN (SELECT pp.id, max(datediff(to_date(r.date), to_date(pp.enddate)) ) as daysForlastPub , count(distinct r.id) as dp
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FROM ${stats_db_name}.project_tmp pp, ${stats_db_name}.project_results pr, ${stats_db_name}.result r
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WHERE pp.id=pr.id AND pr.result=r.id AND r.type='publication' AND datediff(to_date(r.date), to_date(pp.enddate)) > 0
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GROUP BY pp.id) AS prr2
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on prr2.id = p.id;
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