blob: ff9d8e6bbbe60f8e9d6b9d07e3b3f697b6babb4e [file] [log] [blame]
/*
* Description : Tests whether a keyword index is applied to optimize a selection query using the similarity-jaccard-check function on lists.
* Tests that the optimizer rule correctly drills through the let clauses.
* The index should be applied.
* Success : Yes
*/
drop dataverse test if exists;
create dataverse test;
use dataverse test;
create type AddressType as closed {
number: int32,
street: string,
city: string
}
create type CustomerType as closed {
cid: int32,
name: string,
age: int32?,
address: AddressType?,
interests: [string],
children: [ { name: string, age: int32? } ]
}
create dataset Customers(CustomerType) partitioned by key cid;
load dataset Customers
using "edu.uci.ics.asterix.external.dataset.adapter.NCFileSystemAdapter"
(("path"="nc1://data/semistructured/co1k_olist/customer.adm"),("format"="adm"));
create index interests_index on Customers(interests) type keyword;
write output to nc1:"rttest/inverted-index-complex_olist-jaccard-check-let.adm";
for $c in dataset('Customers')
let $jacc := similarity-jaccard-check($c.interests, ["databases", "computers", "wine"], 0.7f)
where $jacc[0]
return $c