//***** Test to conduct a join between datasets belonging to different dataverses*****//

drop dataverse test1 if exists;
drop dataverse test2 if exists;

create dataverse test1;
create dataverse test2;

create type test1.AddressType as open {
  number: int32,
  street: string,
  city: string
};

create type test1.CustomerType as closed {
  cid: int32,
  name: string,
  cashBack: int32,
  age: int32?,
  address: AddressType?,
  lastorder: {
    oid: int32,
    total: float
  }
};

create dataset test1.Customers(CustomerType)
primary key cid;


create type test2.OrderType as open {
  oid: int32,
  cid: int32,
  orderstatus: string,
  orderpriority: string,
  clerk: string,
  total: float,
  items: [int32]
}

create dataset test2.Orders(OrderType)
primary key oid;


load dataset test1.Customers
using "edu.uci.ics.asterix.external.dataset.adapter.NCFileSystemAdapter"
(("path"="nc1://data/nontagged/customerData.json"),
("format"="adm"));

load dataset test2.Orders
using "edu.uci.ics.asterix.external.dataset.adapter.NCFileSystemAdapter"
(("path"="nc1://data/nontagged/orderData.json"),("format"="adm"));

write output to nc1:"rttest/cross-dataverse_join_across_dataverses.adm";

for $c in dataset('test1.Customers')
for $o in dataset('test2.Orders')
where $c.cid = $o.cid
order by $c.name, $o.total
return {"cust_name":$c.name, "cust_age": $c.age, "order_total":$o.total, "orderList":[$o.oid, $o.cid], "orderList":{{$o.oid, $o.cid}}}