blob: 8f8f014d89f8a04106be85197d856c26229fb7e3 [file] [log] [blame]
/*
* Description : Tests whether a keyword index is applied to optimize a selection query using the similarity-jaccard-check function on word tokens.
* 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 DBLPType as closed {
id: int32,
dblpid: string,
title: string,
authors: string,
misc: string
}
create dataset DBLP(DBLPType) partitioned by key id;
create index keyword_index on DBLP(title) type keyword;
write output to nc1:"rttest/inverted-index-complex_word-jaccard-check-multi-let.adm";
// This test is complex because we have three assigns to drill into.
for $paper in dataset('DBLP')
let $paper_tokens := word-tokens($paper.title)
let $query_tokens := word-tokens("Transactions for Cooperative Environments")
let $jacc := similarity-jaccard-check($paper_tokens, $query_tokens, 0.8f)
where $jacc[0]
return {"Paper": $paper_tokens, "Query": $query_tokens }