diff --git a/asterix-app/src/test/resources/optimizerts/queries/inverted-index-join/ngram-edit-distance-contains.aql b/asterix-app/src/test/resources/optimizerts/queries/inverted-index-join/ngram-edit-distance-contains.aql
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+++ b/asterix-app/src/test/resources/optimizerts/queries/inverted-index-join/ngram-edit-distance-contains.aql
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+/*
+ * Description    : Fuzzy joins two datasets, DBLP and CSX, based on the edit-distance-contains function 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.
+ * 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) primary key id;
+
+create dataset CSX(CSXType) primary key id;
+
+create index ngram_index on DBLP(authors) type ngram(3);
+
+write output to nc1:"rttest/inverted-index-join_ngram-edit-distance-contains.adm";
+
+for $a in dataset('DBLP')
+for $b in dataset('CSX')
+where edit-distance-contains($a.authors, $b.authors, 3)[0] and $a.id < $b.id
+return {"arec": $a, "brec": $b }
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