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/*
* Description : Fuzzy self joins a dataset, Customers, based on the edit-distance function of its interest lists.
* Customers has a keyword index on interests, and we expect the join to be transformed into an indexed nested-loop join.
* We test the inlining of variables that enable the select to be pushed into the join for subsequent optimization with an index.
* 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 test;
create type test.AddressType as
closed {
number : int32,
street : string,
city : string
}
create type test.CustomerTypetmp as
closed {
cid : int32,
name : string,
age : int32?,
address : AddressType?,
interests : [string],
children : [{
name : string,
age : int32?
}
]
}
create type test.CustomerType as
closed {
nested : CustomerTypetmp
}
create dataset Customers(CustomerType) primary key nested.cid;
create dataset Customers2(CustomerType) primary key nested.cid;
create index interests_index on Customers (nested.interests) type keyword;
write output to asterix_nc1:"rttest/inverted-index-join-noeqjoin_olist-edit-distance-inline.adm"
select element {'ainterests':a.nested.interests,'binterests':b.nested.interests,'ed':ed}
from Customers as a,
Customers as b
with ed as test.`edit-distance`(a.nested.interests,b.nested.interests)
where ((ed <= 2) and (a.nested.cid < b.nested.cid))
;