asterix-app/src/test/resources/optimizerts/queries/inverted-index-join-noeqjoin/ngram-edit-distance.aql

/*
 * Description    : Fuzzy joins two datasets, DBLP and CSX, based on the edit-distance function of their authors.
 *                  DBLP has a 3-gram index on authors, and we expect the join to be transformed into an indexed nested-loop join.
 *                  We expect the top-level equi join introduced because of surrogate optimization to be removed, since it is not necessary. 
 * 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 type CSXType as closed {
  id: int32, 
  csxid: string,
  title: string,
  authors: string,
  misc: string
}

create dataset DBLP(DBLPType) partitioned by key id;

create dataset CSX(CSXType) partitioned by key id;

create index ngram_index on DBLP(authors) type ngram(3);

write output to nc1:"rttest/inverted-index-join-noeqjoin_ngram-edit-distance.adm";

for $a in dataset('DBLP')
for $b in dataset('CSX')
where edit-distance($a.authors, $b.authors) < 3 and $a.id < $b.id
return {"aauthors": $a.authors, "bauthors": $b.authors}