Remove stdx::unordered_multimap and multiset. Custom hashers to stdx::unordered_map are not trusted by default, we will rehash the produced hash with absl again to ensure we have a good hash function.
270 lines
8.8 KiB
JavaScript
270 lines
8.8 KiB
JavaScript
// @tags: [
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// # Cannot implicitly shard accessed collections because of following errmsg: A single
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// # update/delete on a sharded collection must contain an exact match on _id or contain the shard
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// # key.
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// assumes_unsharded_collection,
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// # This test attempts to perform write operations and get index usage statistics using the
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// # $indexStats stage. The former operation must be routed to the primary in a replica set,
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// # whereas the latter may be routed to a secondary.
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// assumes_read_preference_unchanged,
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// does_not_support_stepdowns,
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// requires_non_retryable_writes,
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// ]
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(function() {
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"use strict";
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load("jstests/libs/analyze_plan.js");
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var colName = "jstests_index_stats";
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var col = db[colName];
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col.drop();
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var getUsageCount = function(indexName, collection) {
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collection = collection || col;
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var cursor = collection.aggregate([{$indexStats: {}}]);
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while (cursor.hasNext()) {
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var doc = cursor.next();
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if (doc.name === indexName) {
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return doc.accesses.ops;
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}
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}
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return undefined;
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};
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var getIndexKey = function(indexName) {
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var cursor = col.aggregate([{$indexStats: {}}]);
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while (cursor.hasNext()) {
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var doc = cursor.next();
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if (doc.name === indexName) {
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return doc.key;
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}
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}
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return undefined;
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};
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var getIndexNamesForWinningPlan = function(explain) {
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var indexNameList = [];
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var winningStages = getPlanStages(explain.queryPlanner.winningPlan, "IXSCAN");
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for (var i = 0; i < winningStages.length; ++i) {
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indexNameList.push(winningStages[i].indexName);
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}
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return indexNameList;
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};
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assert.writeOK(col.insert({a: 1, b: 1, c: 1}));
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assert.writeOK(col.insert({a: 2, b: 2, c: 2}));
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assert.writeOK(col.insert({a: 3, b: 3, c: 3}));
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//
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// Confirm no index stats object exists prior to index creation.
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//
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col.findOne({a: 1});
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assert.eq(undefined, getUsageCount("a_1"));
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//
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// Create indexes.
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//
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assert.commandWorked(col.createIndex({a: 1}, {name: "a_1"}));
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assert.commandWorked(col.createIndex({b: 1, c: 1}, {name: "b_1_c_1"}));
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var countA = 0; // Tracks expected index access for "a_1".
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var countB = 0; // Tracks expected index access for "b_1_c_1".
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//
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// Confirm a stats object exists post index creation (with 0 count).
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//
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assert.eq(countA, getUsageCount("a_1"));
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assert.eq({a: 1}, getIndexKey("a_1"));
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//
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// Confirm index stats tick on find().
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//
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col.findOne({a: 1});
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countA++;
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assert.eq(countA, getUsageCount("a_1"));
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//
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// Confirm index stats tick on findAndModify() update.
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//
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var res =
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db.runCommand({findAndModify: colName, query: {a: 1}, update: {$set: {d: 1}}, 'new': true});
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assert.commandWorked(res);
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countA++;
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assert.eq(countA, getUsageCount("a_1"));
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//
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// Confirm index stats tick on findAndModify() delete.
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//
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res = db.runCommand({findAndModify: colName, query: {a: 2}, remove: true});
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assert.commandWorked(res);
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countA++;
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assert.eq(countA, getUsageCount("a_1"));
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assert.writeOK(col.insert(res.value));
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//
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// Confirm $and operation ticks indexes for winning plan, but not rejected plans.
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//
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// We cannot use explain() to determine which indexes would be used for this query, since
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// 1) explain() will not bump the access counters
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// 2) explain() always runs the multi planner, and the multi planner may choose a different
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// index each run. We therefore run the query, and check that only one of the indexes has its
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// counter bumped (assuming we never choose an index intersection plan).
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const results = col.find({a: 2, b: 2}).itcount();
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if (countA + 1 == getUsageCount("a_1")) {
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// Plan using index A was chosen. Index B should not have been used (assuming no index
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// intersection plans are used).
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countA++;
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} else {
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// Plan using index B was chosen. Index A should not have been used (assuming no index
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// intersection plans are used).
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assert.eq(++countB, getUsageCount("b_1_c_1"));
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}
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assert.eq(countA, getUsageCount("a_1"));
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assert.eq(countB, getUsageCount("b_1_c_1"));
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assert.eq(0, getUsageCount("_id_"));
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//
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// Confirm index stats tick on distinct().
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//
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res = db.runCommand({distinct: colName, key: "b", query: {b: 1}});
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assert.commandWorked(res);
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countB++;
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assert.eq(countB, getUsageCount("b_1_c_1"));
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//
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// Confirm index stats tick on aggregate w/ match.
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//
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res = db.runCommand({aggregate: colName, pipeline: [{$match: {b: 1}}], cursor: {}});
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assert.commandWorked(res);
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countB++;
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assert.eq(countB, getUsageCount("b_1_c_1"));
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//
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// Confirm index stats tick on mapReduce with query.
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//
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res = db.runCommand({
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mapReduce: colName,
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map: function() {
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emit(this.b, this.c);
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},
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reduce: function(key, val) {
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return val;
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},
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query: {b: 2},
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out: {inline: true}
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});
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assert.commandWorked(res);
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countB++;
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assert.eq(countB, getUsageCount("b_1_c_1"));
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//
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// Confirm index stats tick on update().
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//
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assert.writeOK(col.update({a: 2}, {$set: {d: 2}}));
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countA++;
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assert.eq(countA, getUsageCount("a_1"));
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//
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// Confirm index stats tick on remove().
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//
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assert.writeOK(col.remove({a: 2}));
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countA++;
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assert.eq(countA, getUsageCount("a_1"));
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//
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// Confirm multiple index $or operation ticks all involved indexes.
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//
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col.findOne({$or: [{a: 1}, {b: 1, c: 1}]});
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countA++;
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countB++;
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assert.eq(countA, getUsageCount("a_1"));
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assert.eq(countB, getUsageCount("b_1_c_1"));
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//
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// Confirm index stats object does not exist post index drop.
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//
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assert.commandWorked(col.dropIndex("b_1_c_1"));
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countB = 0;
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assert.eq(undefined, getUsageCount("b_1_c_1"));
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//
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// Confirm index stats object exists with count 0 once index is recreated.
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//
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assert.commandWorked(col.createIndex({b: 1, c: 1}, {name: "b_1_c_1"}));
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assert.eq(countB, getUsageCount("b_1_c_1"));
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//
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// Confirm that retrieval fails if $indexStats is not in the first pipeline position.
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//
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assert.throws(function() {
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col.aggregate([{$match: {}}, {$indexStats: {}}]);
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});
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//
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// Confirm index use is recorded for $lookup.
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//
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const foreignCollection = db[colName + "_foreign"];
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foreignCollection.drop();
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assert.writeOK(foreignCollection.insert([{_id: 0}, {_id: 1}, {_id: 2}]));
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col.drop();
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assert.writeOK(col.insert([{_id: 0, foreignId: 1}, {_id: 1, foreignId: 2}]));
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assert.eq(0, getUsageCount("_id_"));
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assert.eq(2,
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col.aggregate([
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{$match: {_id: {$in: [0, 1]}}},
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{
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$lookup: {
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from: foreignCollection.getName(),
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localField: 'foreignId',
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foreignField: '_id',
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as: 'results'
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}
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}
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])
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.itcount());
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assert.eq(1, getUsageCount("_id_", col), "Expected aggregation to use _id index");
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assert.eq(2,
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getUsageCount("_id_", foreignCollection),
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"Expected each lookup to be tracked as an index use");
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//
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// Confirm index use is recorded for $graphLookup.
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//
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foreignCollection.drop();
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assert.writeOK(foreignCollection.insert([
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{_id: 0, connectedTo: 1},
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{_id: 1, connectedTo: "X"},
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{_id: 2, connectedTo: 3},
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{_id: 3, connectedTo: "Y"}, // Be sure to use a different value here to make sure
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// $graphLookup doesn't cache the query.
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]));
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col.drop();
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assert.writeOK(col.insert([{_id: 0, foreignId: 0}, {_id: 1, foreignId: 2}]));
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assert.eq(0, getUsageCount("_id_"));
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assert.eq(2,
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col.aggregate([
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{$match: {_id: {$in: [0, 1]}}},
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{
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$graphLookup: {
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from: foreignCollection.getName(),
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startWith: '$foreignId',
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connectToField: '_id',
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connectFromField: 'connectedTo',
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as: 'results'
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}
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}
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])
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.itcount());
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assert.eq(1, getUsageCount("_id_", col), "Expected aggregation to use _id index");
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assert.eq(2 * 3,
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getUsageCount("_id_", foreignCollection),
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"Expected each of two graph searches to issue 3 queries, each using the _id index");
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})();
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