blob: 3f025ed843b6f1e1e8266116bc48e626509c21f6 [file] [log] [blame]
/*
* Description : Fuzzy joins two datasets, Customers and Customers2, based on the edit-distance function of their interest lists.
* Customers has a keyword index on interests, 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 AddressType as open {
number: int32,
street: string,
city: string
}
create type CustomerType as open {
cid: int32,
name: string,
age: int32?,
address: AddressType?,
interests: [string],
children: [ { name: string, age: int32? } ]
}
create dataset Customers(CustomerType) partitioned by key cid;
create dataset Customers2(CustomerType) partitioned by key cid;
load dataset Customers
using "edu.uci.ics.asterix.external.dataset.adapter.NCFileSystemAdapter"
(("path"="nc1://data/semistructured/co1k_olist/customer.adm"),("format"="adm"));
load dataset Customers2
using "edu.uci.ics.asterix.external.dataset.adapter.NCFileSystemAdapter"
(("path"="nc1://data/semistructured/co1k_olist/customer.adm"),("format"="adm"));
create index interests_index on Customers(interests) type keyword;
write output to nc1:"rttest/inverted-index-join-noeqjoin_olist-edit-distance.adm";
for $a in dataset('Customers')
for $b in dataset('Customers2')
where len($a.interests) > 2 and len($b.interests) > 2 and edit-distance($a.interests, $b.interests) <= 1 and $a.cid < $b.cid
order by $a.cid, $b.cid
return { "a": $a.interests, "b": $b.interests }