asterixdb/asterix-app/src/test/resources/optimizerts/queries_sqlpp/open-index-enforced/inverted-index-join/ngram-fuzzyeq-edit-distance_05.sqlpp

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */
/*
 * Description    : Fuzzy joins two datasets, DBLP and CSX, based on ~= using edit distance of their authors.
 *                  DBLP has a 3-gram enforced open index on authors, and we *do not* expect the join to be transformed
 *                  into an indexed nested-loop join, because CSX does not declare an enforced open index on field authors.
 * Success        : Yes
 */

drop  dataverse test if exists;
create  dataverse test;

use test;


create type test.DBLPType as
{
  id : int32,
  dblpid : string,
  title : string,
  misc : string
}

create type test.CSXType as
{
  id : int32,
  csxid : string,
  title : string,
  misc : string
}

create  dataset DBLP(DBLPType) primary key id;

create  dataset CSX(CSXType) primary key id;

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

write output to asterix_nc1:"rttest/inverted-index-join_ngram-fuzzyeq-edit-distance_01.adm"
set `simfunction` `edit-distance`;

set `simthreshold` `3`;

select element {'arec':a,'brec':b}
from  DBLP as a,
      CSX as b
where ((a.authors ~= b.authors) and (a.id < b.id))
;