| /* |
| * Description : Fuzzy joins two datasets, DBLP and CSX, based on ~= using edit distance 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 CSX(authors) type ngram(3); |
| |
| write output to nc1:"rttest/inverted-index-join-noeqjoin_ngram-fuzzyeq-edit-distance.adm"; |
| |
| set simfunction 'edit-distance'; |
| set simthreshold '3'; |
| |
| for $a in dataset('DBLP') |
| for $b in dataset('CSX') |
| where $a.authors ~= $b.authors and $a.id < $b.id |
| return {"aauthors": $a.authors, "bauthors": $b.authors} |