| use dataverse tpch; |
| |
| for $t3 in ( |
| for $t2 in ( |
| for $l in dataset('LineItem') |
| where $l.l_shipdate >= '1994-01-01' and $l.l_shipdate < '1995-01-01' |
| group by $l_partkey:=$l.l_partkey, $l_suppkey:=$l.l_suppkey with $l |
| return { |
| "l_partkey": $l_partkey, |
| "l_suppkey": $l_suppkey, |
| "sum_quantity": 0.5 * sum(for $i in $l return $i.l_quantity) |
| } |
| ) |
| for $pst1 in ( |
| for $ps in dataset('Partsupp') |
| for $t1 in ( |
| for $p in dataset('Part') |
| where like($p.p_name, 'forest%') |
| distinct by $p.p_partkey |
| return { "p_partkey": $p.p_partkey } |
| ) |
| where $ps.ps_partkey = $t1.p_partkey |
| return { |
| "ps_suppkey": $ps.ps_suppkey, |
| "ps_partkey": $ps.ps_partkey, |
| "ps_availqty": $ps.ps_availqty |
| } |
| ) |
| where $pst1.ps_partkey = $t2.l_partkey and $pst1.ps_suppkey = $t2.l_suppkey |
| and $pst1.ps_availqty > $t2.sum_quantity |
| distinct by $pst1.ps_suppkey |
| return { "ps_suppkey": $pst1.ps_suppkey } |
| ) |
| for $t4 in ( |
| for $n in dataset('Nation') |
| for $s in dataset('Supplier') |
| where $s.s_nationkey = $n.n_nationkey and $n.n_name = 'CANADA' |
| return { |
| "s_name": $s.s_name, |
| "s_address": $s.s_address, |
| "s_suppkey": $s.s_suppkey |
| } |
| ) |
| where $t3.ps_suppkey = $t4.s_suppkey |
| order by $t4.s_name |
| return { |
| "s_name": $t4.s_name, |
| "s_address": $t4.s_address |
| } |
| |