blob: f79e10f2b617d64da0ed28b3f86e849bcdc78a4c [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;
load dataset DBLP
using "edu.uci.ics.asterix.external.dataset.adapter.NCFileSystemAdapter"
(("path"="nc1://data/dblp-small/dblp-small-id.txt"),("format"="delimited-text"),("delimiter"=":")) pre-sorted;
create index keyword_index on DBLP(title) type keyword;
write output to nc1:"rttest/inverted-index-complex_word-jaccard-check-let.adm";
for $o in dataset('DBLP')
let $jacc := similarity-jaccard-check(word-tokens($o.title), word-tokens("Transactions for Cooperative Environments"), 0.5f)
where $jacc[0]
return $o