const coll = db[jsTestName()]; coll.drop(); const numDocs = 10000; let docs = []; let genres = [     "Drama" ,     "Comedy" ,     "Romance" , ]; for (let i = 0; i < numDocs; i++) {     const genre = genres[i % 10];     docs.push(\{_id: i, index: i % 1000, element: "fire" , genre: genre}); } assert .commandWorked(coll.insertMany(docs)); coll.createSearchIndex({     name: "facet-index" ,     definition: {         "mappings" : {             "dynamic" : false ,             "fields" : {                 "index" : \{ "type" : "number" },                 "genre" : \{ "type" : "stringFacet" }             }         }     } }); const countQuery = {     "$searchMeta" : {         "index" : "facet-index" ,         "range" : \{ "path" : "index" , "gte" : 100, "lt" : 9000},         "count" : \{ "type" : "total" }     } }; // Another collection for $lookup and $unionWith queries. const collBase = db.base; collBase.drop(); assert .commandWorked(collBase.insert(\{ "_id" : 100, "localField" : "cakes" , "weird" : false }));     //Test $searchMeta with $lookup.     let result = collBase.aggregate([\{$match: {_id: 100}},         {             $lookup: {                 from: coll.getName(),                 pipeline: [                     countQuery],                 as: "meta_facet"             }         }]).toArray(); //Test $searchMeta with $unionWith. let result = collBase.aggregate( [{ $unionWith: { coll: coll.getName(), pipeline: [ countQuery, ] } }]).toArray();