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+// Licensed under the Apache License, Version 2.0 (the "License"); you may not
+// use this file except in compliance with the License. You may obtain a copy of
+// the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+// WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+// License for the specific language governing permissions and limitations under
+// the License.
+
+couchTests.reduce = function(debug) {
+ var db = new CouchDB("test_suite_db", {"X-Couch-Full-Commit":"false"});
+ db.deleteDb();
+ db.createDb();
+ if (debug) debugger;
+ var numDocs = 500
+ var docs = makeDocs(1,numDocs + 1);
+ db.bulkSave(docs);
+ var summate = function(N) {return (N+1)*N/2;};
+
+ var map = function (doc) {
+ emit(doc.integer, doc.integer);
+ emit(doc.integer, doc.integer)};
+ var reduce = function (keys, values) { return sum(values); };
+ var result = db.query(map, reduce);
+ T(result.rows[0].value == 2*summate(numDocs));
+
+ result = db.query(map, reduce, {startkey: 4, endkey: 4});
+ T(result.rows[0].value == 8);
+
+ result = db.query(map, reduce, {startkey: 4, endkey: 5});
+ T(result.rows[0].value == 18);
+
+ result = db.query(map, reduce, {startkey: 4, endkey: 6});
+ T(result.rows[0].value == 30);
+
+ result = db.query(map, reduce, {group:true, limit:3});
+ T(result.rows[0].value == 2);
+ T(result.rows[1].value == 4);
+ T(result.rows[2].value == 6);
+
+ for(var i=1; i<numDocs/2; i+=30) {
+ result = db.query(map, reduce, {startkey: i, endkey: numDocs - i});
+ T(result.rows[0].value == 2*(summate(numDocs-i) - summate(i-1)));
+ }
+
+ db.deleteDb();
+ db.createDb();
+
+ for(var i=1; i <= 5; i++) {
+
+ for(var j=0; j < 10; j++) {
+ // these docs are in the order of the keys collation, for clarity
+ var docs = [];
+ docs.push({keys:["a"]});
+ docs.push({keys:["a"]});
+ docs.push({keys:["a", "b"]});
+ docs.push({keys:["a", "b"]});
+ docs.push({keys:["a", "b", "c"]});
+ docs.push({keys:["a", "b", "d"]});
+ docs.push({keys:["a", "c", "d"]});
+ docs.push({keys:["d"]});
+ docs.push({keys:["d", "a"]});
+ docs.push({keys:["d", "b"]});
+ docs.push({keys:["d", "c"]});
+ db.bulkSave(docs);
+ T(db.info().doc_count == ((i - 1) * 10 * 11) + ((j + 1) * 11));
+ }
+
+ map = function (doc) {emit(doc.keys, 1)};
+ reduce = function (keys, values) { return sum(values); };
+
+ var results = db.query(map, reduce, {group:true});
+
+ //group by exact key match
+ T(equals(results.rows[0], {key:["a"],value:20*i}));
+ T(equals(results.rows[1], {key:["a","b"],value:20*i}));
+ T(equals(results.rows[2], {key:["a", "b", "c"],value:10*i}));
+ T(equals(results.rows[3], {key:["a", "b", "d"],value:10*i}));
+
+ // test to make sure group reduce and limit params provide valid json
+ var results = db.query(map, reduce, {group: true, limit: 2});
+ T(equals(results.rows[0], {key: ["a"], value: 20*i}));
+ T(equals(results.rows.length, 2));
+
+ //group by the first element in the key array
+ var results = db.query(map, reduce, {group_level:1});
+ T(equals(results.rows[0], {key:["a"],value:70*i}));
+ T(equals(results.rows[1], {key:["d"],value:40*i}));
+
+ //group by the first 2 elements in the key array
+ var results = db.query(map, reduce, {group_level:2});
+ T(equals(results.rows[0], {key:["a"],value:20*i}));
+ T(equals(results.rows[1], {key:["a","b"],value:40*i}));
+ T(equals(results.rows[2], {key:["a","c"],value:10*i}));
+ T(equals(results.rows[3], {key:["d"],value:10*i}));
+ T(equals(results.rows[4], {key:["d","a"],value:10*i}));
+ T(equals(results.rows[5], {key:["d","b"],value:10*i}));
+ T(equals(results.rows[6], {key:["d","c"],value:10*i}));
+ }
+
+ // now test out more complex reductions that need to use the combine option.
+
+ db.deleteDb();
+ db.createDb();
+
+
+ var map = function (doc) {emit(doc.val, doc.val)};
+ var reduceCombine = function (keys, values, rereduce) {
+ // This computes the standard deviation of the mapped results
+ var stdDeviation=0.0;
+ var count=0;
+ var total=0.0;
+ var sqrTotal=0.0;
+
+ if (!rereduce) {
+ // This is the reduce phase, we are reducing over emitted values from
+ // the map functions.
+ for(var i in values) {
+ total = total + values[i];
+ sqrTotal = sqrTotal + (values[i] * values[i]);
+ }
+ count = values.length;
+ }
+ else {
+ // This is the rereduce phase, we are re-reducing previosuly
+ // reduced values.
+ for(var i in values) {
+ count = count + values[i].count;
+ total = total + values[i].total;
+ sqrTotal = sqrTotal + values[i].sqrTotal;
+ }
+ }
+
+ var variance = (sqrTotal - ((total * total)/count)) / count;
+ stdDeviation = Math.sqrt(variance);
+
+ // the reduce result. It contains enough information to be rereduced
+ // with other reduce results.
+ return {"stdDeviation":stdDeviation,"count":count,
+ "total":total,"sqrTotal":sqrTotal};
+ };
+
+ // Save a bunch a docs.
+
+ for(var i=0; i < 10; i++) {
+ var docs = [];
+ docs.push({val:10});
+ docs.push({val:20});
+ docs.push({val:30});
+ docs.push({val:40});
+ docs.push({val:50});
+ docs.push({val:60});
+ docs.push({val:70});
+ docs.push({val:80});
+ docs.push({val:90});
+ docs.push({val:100});
+ db.bulkSave(docs);
+ }
+
+ var results = db.query(map, reduceCombine);
+
+ var difference = results.rows[0].value.stdDeviation - 28.722813232690143;
+ // account for floating point rounding error
+ T(Math.abs(difference) < 0.0000000001);
+
+};