summaryrefslogtreecommitdiff
path: root/jstests/concurrency/fsm_workloads/yield_geo_near.js
blob: 324c384636ea11668da69a3326fbfd5b2e537cc4 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
'use strict';

/*
 * yield_geo_near.js (extends yield.js)
 *
 * Intersperse geo $near queries with updates and deletes of documents they may match.
 */
load('jstests/concurrency/fsm_libs/extend_workload.js');  // for extendWorkload
load('jstests/concurrency/fsm_workloads/yield.js');  // for $config

var $config = extendWorkload(
    $config,
    function($config, $super) {

        /*
         * Use geo $near query to find points near the origin. Note this should be done using the
         * geoNear command, rather than a $near query, as the $near query doesn't work in a sharded
         * environment. Unfortunately this means we cannot batch the request.
         */
        $config.states.query = function geoNear(db, collName) {
            // This distance gets about 80 docs around the origin. There is one doc inserted
            // every 1m^2 and the area scanned by a 5m radius is PI*(5m)^2 ~ 79.
            var maxDistance = 5;

            var res = db.runCommand({geoNear: collName, near: [0, 0], maxDistance: maxDistance});
            assertWhenOwnColl.commandWorked(res);  // Could fail if more than 1 2d index.
            assertWhenOwnColl(function verifyResults() {
                var results = res.results;
                var prevDoc = {
                    dis: 0
                };  // distance should never be less than 0
                for (var i = 0; i < results.length; i++) {
                    var doc = results[i];
                    assertAlways.lte(NumberInt(doc.dis), maxDistance);  // satisfies query
                    assertAlways.lte(prevDoc.dis, doc.dis);  // returned in the correct order
                    prevDoc = doc;
                }
            });
        };

        $config.data.genUpdateDoc = function genUpdateDoc() {
            var P = Math.floor(Math.sqrt(this.nDocs));

            // Move the point to another location within the PxP grid.
            var newX = Random.randInt(P) - P / 2;
            var newY = Random.randInt(P) - P / 2;
            return {
                $set: {geo: [newX, newY]}
            };
        };

        $config.data.getIndexSpec = function getIndexSpec() {
            return {
                geo: '2d'
            };
        };

        $config.data.getReplaceSpec = function getReplaceSpec(i, coords) {
            return {
                _id: i,
                geo: coords
            };
        };

        /*
         * Insert some docs in geo form and make a 2d index.
         */
        $config.setup = function setup(db, collName, cluster) {
            $super.setup.apply(this, arguments);

            var P = Math.floor(Math.sqrt(this.nDocs));
            var i = 0;
            // Set up some points to query (in a PxP grid around 0,0).
            var bulk = db[collName].initializeUnorderedBulkOp();
            for (var x = 0; x < P; x++) {
                for (var y = 0; y < P; y++) {
                    var coords = [x - P / 2, y - P / 2];
                    bulk.find({_id: i}).upsert().replaceOne(this.getReplaceSpec(i, coords));
                    i++;
                }
            }
            assertAlways.writeOK(bulk.execute());
            assertAlways.commandWorked(db[collName].ensureIndex(this.getIndexSpec()));
        };

        return $config;
    });