asterix-app/src/test/resources/optimizerts/queries/rtree-index-join/spatial-self-intersect-point.aql

/*
 * 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    : Self-joins on a dataset on the intersection of a point attribute.
 *                  The dataset 'TweetMessages' has an RTree index, and we expect the
 *                  join to be transformed into an indexed nested-loop join.
 * Success        : Yes
 */

drop dataverse test if exists;
create dataverse test;
use dataverse test;

create type TwitterUserType as closed {
    screen-name: string,
    lang: string,
    friends-count: int64,
    statuses-count: int64,
    name: string,
    followers-count: int64
}

create type TweetMessageType as closed {
    tweetid: int64,
        user: TwitterUserType,
        sender-location: point,
    send-time: datetime,
        referred-topics: {{ string }},
    message-text: string,
    countA: int64,
    countB: int64
}

create dataset TweetMessages(TweetMessageType)
primary key tweetid;

create index twmSndLocIx on TweetMessages(sender-location) type rtree;
create index msgCountAIx on TweetMessages(countA) type btree;
create index msgCountBIx on TweetMessages(countB) type btree;
create index msgTextIx on TweetMessages(message-text) type keyword;

write output to asterix_nc1:"rttest/index-join_rtree-spatial-self-intersect-point.adm";

for $t1 in dataset('TweetMessages')
for $t2 in dataset('TweetMessages')
let $n :=  create-circle($t1.sender-location, 0.5)
where spatial-intersect($t2.sender-location, $n)
order by $t2.tweetid
return {"tweetid2":$t2.tweetid, "loc2":$t2.sender-location};