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

/*
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 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
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 *
 *   http://www.apache.org/licenses/LICENSE-2.0
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/*
 * Description    : Fuzzy joins two datasets, DBLP and CSX, based on ~= using Jaccard of their titles' 3-gram tokens.
 *                  DBLP has a 3-gram index on title, 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;
set import-private-functions 'true';

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) primary key id;

create dataset CSX(CSXType) primary key id;

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

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

set simfunction 'jaccard';
set simthreshold '0.5f';

for $a in dataset('DBLP')
for $b in dataset('CSX')
where gram-tokens($a.title, 3, false) ~= gram-tokens($b.title, 3, false) and $a.id < $b.id
return {"atitle": $a.title, "btitle": $b.title}