| /* |
| * 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, Customers and Customers2, based on the edit-distance function of their names. |
| * Customers has a 3-gram index on name, and we expect the join to be transformed into an indexed nested-loop join. |
| * Success : Yes |
| */ |
| |
| use test; |
| |
| |
| select element {'arec':a,'brec':b} |
| from Customers as a, |
| Customers2 as b |
| where ((test.`edit-distance`(a.name,b.name) <= 4) and (a.cid < b.cid)) |
| order by a.cid,b.cid |
| ; |
