| drop dataverse events if exists; |
| create dataverse events; |
| use dataverse events; |
| |
| |
| create type AddressType as closed { |
| street: string, |
| city: string, |
| zip: string |
| //, latlong: point |
| } |
| |
| create type EventType as closed { |
| name: string, |
| location: AddressType ?, |
| organizers: {{ |
| { |
| name: string, |
| role: string |
| } |
| }}, |
| sponsoring_sigs: [ |
| { |
| sig_name: string, |
| chapter_name: string |
| } |
| ], |
| interest_keywords: {{string}}, |
| price: double?, |
| start_time: datetime, |
| end_time: datetime |
| } |
| |
| |
| create nodegroup group1 if not exists on nc1, nc2; |
| |
| create dataset Event(EventType) partitioned by key name on group1; |
| |
| write output to nc1:"/tmp/q2.adm"; |
| |
| for $event in dataset('Event') |
| for $sponsor in $event.sponsoring_sigs |
| let $es := { "event": $event, "sponsor": $sponsor } |
| group by $sig_name := $sponsor.sig_name with $es |
| let $sig_sponsorship_count := count($es) |
| let $by_chapter := |
| for $e in $es |
| group by $chapter_name := $e.sponsor.chapter_name with $e |
| return { "chapter_name": $chapter_name, "escount" : count($e) } |
| order by $sig_sponsorship_count desc |
| limit 5 |
| return { "sig_name": $sig_name, "total_count": $sig_sponsorship_count, "chapter_breakdown": $by_chapter } |