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
|
/**
* Tests that a time-series collection rejects documents with invalid timeField values
*/
(function() {
"use strict";
load("jstests/core/timeseries/libs/timeseries.js");
const conn = MongoRunner.runMongod();
if (!TimeseriesTest.timeseriesCollectionsEnabled(conn)) {
jsTestLog("Skipping test because the time-series collection feature flag is disabled");
MongoRunner.stopMongod(conn);
return;
}
const dbName = jsTestName();
const testDB = conn.getDB(dbName);
assert.commandWorked(testDB.dropDatabase());
const coll = testDB.getCollection('t');
const bucketsColl = testDB.getCollection('system.buckets.' + coll.getName());
coll.drop();
const timeFieldName = 'time';
const metaFieldName = 'meta';
assert.commandWorked(testDB.createCollection(
coll.getName(), {timeseries: {timeField: timeFieldName, metaField: metaFieldName}}));
assert.contains(bucketsColl.getName(), testDB.getCollectionNames());
// first test a good doc just in case
const goodDocs = [
{
_id: 0,
time: ISODate("2020-11-26T00:00:00.000Z"),
meta: "A",
data: true,
},
{
_id: 1,
time: ISODate("2020-11-27T00:00:00.000Z"),
meta: "A",
data: true,
}
];
assert.commandWorked(coll.insert(goodDocs[0]));
assert.eq(1, coll.count());
assert.docEq(coll.find().toArray(), [goodDocs[0]]);
// now make sure we reject if timeField is missing or isn't a valid BSON datetime
let mixedDocs = [{meta: "B", data: true}, goodDocs[1], {time: "invalid", meta: "B", data: false}];
assert.commandFailedWithCode(coll.insert(mixedDocs, {ordered: false}), ErrorCodes.BadValue);
assert.eq(coll.count(), 2);
assert.docEq(coll.find().toArray(), goodDocs);
assert.eq(null, coll.findOne({meta: mixedDocs[0].meta}));
assert.eq(null, coll.findOne({meta: mixedDocs[2].meta}));
MongoRunner.stopMongod(conn);
})();
|
