forked from D-Net/dnet-hadoop
39 lines
1.9 KiB
SQL
39 lines
1.9 KiB
SQL
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--- Extra tables, mostly used by indicators
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create table ${stats_db_name}.result_projectcount as
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select r.id, count(distinct p.id) as count
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from ${stats_db_name}.result r
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left outer join ${stats_db_name}.result_projects rp on rp.id=r.id
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left outer join ${stats_db_name}.project p on p.id=rp.project
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group by r.id;
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create table ${stats_db_name}.result_fundercount as
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select r.id, count(distinct p.funder) as count
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from ${stats_db_name}.result r
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left outer join ${stats_db_name}.result_projects rp on rp.id=r.id
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left outer join ${stats_db_name}.project p on p.id=rp.project
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group by r.id;
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create table ${stats_db_name}.project_resultcount as
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with rcount as (
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select p.id as pid, count(distinct r.id) as `count`, r.type as type
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from ${stats_db_name}.project p
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left outer join ${stats_db_name}.result_projects rp on rp.project=p.id
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left outer join ${stats_db_name}.result r on r.id=rp.id
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group by r.type, p.id )
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select rcount.pid, sum(case when rcount.type='publication' then rcount.count else 0 end) as publications,
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sum(case when rcount.type='dataset' then rcount.count else 0 end) as datasets,
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sum(case when rcount.type='software' then rcount.count else 0 end) as software,
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sum(case when rcount.type='other' then rcount.count else 0 end) as other
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from rcount
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group by rcount.pid;
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create view ${stats_db_name}.rndexpenditure as select * from stats_ext.rndexpediture;
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ANALYZE TABLE ${stats_db_name}.result_projectcount COMPUTE STATISTICS;
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ANALYZE TABLE ${stats_db_name}.result_projectcount COMPUTE STATISTICS FOR COLUMNS;
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ANALYZE TABLE ${stats_db_name}.result_fundercount COMPUTE STATISTICS;
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ANALYZE TABLE ${stats_db_name}.result_fundercount COMPUTE STATISTICS FOR COLUMNS;
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ANALYZE TABLE ${stats_db_name}.project_resultcount COMPUTE STATISTICS;
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ANALYZE TABLE ${stats_db_name}.project_resultcount COMPUTE STATISTICS FOR COLUMNS; |