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mongo.spec.ts
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import anytest, { TestFn } from "ava";
import { DateTime } from "luxon";
import { v4 } from "uuid";
import { Queue, QueueDoc } from "../../src/index.js";
import { suites } from "./driver.suite.js";
import { Context } from "./driver.types.js";
import { Worker } from "../../src/worker.js";
import { MongoDriver } from "../../src/driver/mongo.js";
// test suite only runs if a mongo uri is set
const ENABLED = process.env.MONGO_URI ? true : false;
// localize test fn w/ type
const test = anytest as TestFn<Context<MongoDriver>>;
// interface for additional mongo jobs
type StringJob = string;
/**
* Set up the Mongo Driver and connect, making it available for all tests
* before() manages the connection, while beforeEach() creates a unique driver
* and sets up any additional testing infrastructure such as t.context.insert()
* and t.context.dump() for analysis
*
* The before() should set up createDriver() and end()
*/
(ENABLED ? test.before : test.before.skip)(async (t) => {
t.context.createDriver = async (options) => {
return Promise.resolve(
new MongoDriver(process.env.MONGO_URI, {
schema: "test",
table: v4(),
...(options ?? {}),
})
);
};
const d = await t.context.createDriver();
const s = await d.getSchema();
await s.dropDatabase();
});
/** Before every test, set up the driver instance and insert/dump methods */
test.beforeEach(async (t) => {
t.context.setDriver = async (d) => {
t.context.insert = async (doc) => {
const col = await d.getTable();
await col.insertOne(doc);
};
t.context.dump = async () => {
const col = await d.getTable();
return await col.find().toArray();
};
t.context.driver = d;
await d.ready();
};
const driver = await t.context.createDriver();
await t.context.setDriver(driver);
});
/** BEGIN TEST SUITE */
for (const s of suites<MongoDriver>()) {
(ENABLED ? test : test.skip)(s.title, s.test);
}
/** END TEST SUITE */
/*
* Test multiple job variants against an index that could be null/undefined
* expected to fail for B, C, D on duplicate key
* ensures that any unique indexes are non-sparse
* ref: https://www.mongodb.com/docs/manual/core/index-sparse/#sparse-and-unique-properties
* "An index that is both sparse and unique prevents collection from having
* documents with duplicate values for a field but allows multiple documents
* that omit the key."
*/
(ENABLED ? test : test.skip)(
"mongo - deleted:undefined is indexed",
async (t) => {
const ref = v4();
const jobA: QueueDoc = {
ref,
ack: null,
// deleted: omitted field, meaning sparse would allow multiple ommitted
visible: DateTime.now().plus({ seconds: 30 }).toJSDate(),
attempts: {
tries: 4,
max: 3,
retryStrategy: {
type: "fixed",
amount: 5,
},
},
repeat: {
count: 0,
last: DateTime.now().minus({ days: 1 }).toJSDate(),
every: {
type: "duration",
value: "P1D",
},
},
payload: Queue.encodePayload("ack-job-dlq"),
};
const jobB: QueueDoc = {
ref,
ack: null,
// deleted: omited. Should still be caught as a duplicate
visible: DateTime.now().plus({ hours: 1 }).toJSDate(),
attempts: {
tries: 0,
max: 3,
retryStrategy: {
type: "fixed",
amount: 5,
},
},
repeat: {
count: 0,
last: DateTime.now().plus({ hours: 1 }).toJSDate(),
every: {
type: "duration",
value: "P1D",
},
},
payload: Queue.encodePayload("new-value"),
};
const jobC: QueueDoc = {
ref,
ack: null,
deleted: null, // Should still be caught as a duplicate
visible: DateTime.now().plus({ hours: 1 }).toJSDate(),
attempts: {
tries: 0,
max: 3,
retryStrategy: {
type: "fixed",
amount: 5,
},
},
repeat: {
count: 0,
last: DateTime.now().plus({ hours: 1 }).toJSDate(),
every: {
type: "duration",
value: "P1D",
},
},
payload: Queue.encodePayload("new-value"),
};
const jobD: QueueDoc = {
ref,
ack: null,
deleted: undefined, // Should still be caught as a duplicate
visible: DateTime.now().plus({ hours: 1 }).toJSDate(),
attempts: {
tries: 0,
max: 3,
retryStrategy: {
type: "fixed",
amount: 5,
},
},
repeat: {
count: 0,
last: DateTime.now().plus({ hours: 1 }).toJSDate(),
every: {
type: "duration",
value: "P1D",
},
},
payload: Queue.encodePayload("new-value"),
};
const col = await t.context.driver.getTable();
await col.insertOne(jobA);
await t.throwsAsync(col.insertOne(jobB));
await t.throwsAsync(col.insertOne(jobC));
await t.throwsAsync(col.insertOne(jobD));
// after process, there should be only one job with ref in the future
const docs = await col
.find({
ref,
})
.toArray();
t.is(docs.length, 1);
}
);
// Makes sure the oplog is used to minimize polling load
// all other times, we'll a 1ms poll to move through tests as fast as possible
// this test is marked serial because nobody else can be using the oplog while
// we test this functionality or else we'd see a race condition
(ENABLED ? test.serial : test.skip)(
"Leverages the oplog to minimize polling",
async (t) => {
const queue = new Queue<StringJob>(t.context.driver, v4());
const p = new Promise<void>((resolve) => {
queue.process(
async (job, api) => {
t.is(job, "oplog");
await api.ack();
t.pass();
resolve();
},
{
concurrency: 1,
pollInterval: 40,
}
);
});
t.timeout(15000, "Max wait time exceeded");
await queue.enqueue({
payload: "oplog",
});
await p; // wait for finish
}
);
(ENABLED ? test : test.skip)(
"Enqueueing an existing ref replaces it",
async (t) => {
const driver = await t.context.createDriver();
const queue = new Queue<StringJob>(driver, v4());
const ref = v4();
const col = await driver.getTable();
// place an existing value into the collection
// expiring some time in the future
await col.insertOne({
ref,
visible: DateTime.now().plus({ seconds: 999 }).toJSDate(),
ack: undefined,
attempts: {
tries: 0,
max: 999,
retryStrategy: {
type: "fixed",
amount: 5,
},
},
repeat: {
count: 0,
},
payload: Queue.encodePayload("old-value"),
});
// add job which should replace the existing job with its new value by ref
await queue.enqueue({ ref, payload: "new-value" });
// query and confirm
const doc = await col.findOne({ ref });
t.true(doc?.payload === Queue.encodePayload("new-value"));
}
);
(ENABLED ? test : test.skip)(
"Creating a 'next' job fails quietly if a future job exists",
async (t) => {
const driver = await t.context.createDriver();
const queue = new Queue<StringJob>(driver, v4());
const ref = v4();
const col = await driver.getTable();
// all indexes must be loaded for test
await queue.ready();
// place an existing value into the collection
// expiring some time in the future
await col.insertOne({
ref,
visible: DateTime.now().plus({ months: 3 }).toJSDate(),
ack: undefined,
attempts: {
tries: 0,
max: 999,
retryStrategy: {
type: "fixed",
amount: 5,
},
},
repeat: {
count: 0,
},
payload: Queue.encodePayload("new-value"),
});
// perform a "createNext" operation which should fail silently
await driver.createNext({
ref,
visible: DateTime.now().minus({ seconds: 100 }).toJSDate(),
ack: v4(),
attempts: {
tries: 0,
max: 999,
retryStrategy: {
type: "fixed",
amount: 5,
},
},
repeat: {
count: 4,
last: DateTime.now().toJSDate(),
every: {
type: "duration",
value: "PT1M",
},
},
payload: Queue.encodePayload("recur-value"),
});
// check result
const docs = await col
.find({
ref,
deleted: null,
visible: {
$gte: new Date(),
},
})
.toArray();
t.is(docs.length, 1);
t.is(docs[0].payload, Queue.encodePayload("new-value"));
}
);
// job A - ack + destined for dead letter queue, visible now
// job B - added fresh via external interface
//
// expected: When job A is handled by the worker, it opts for
// the dead letter queue. createNext failing with a duplicate
// conflict does not abort the entire transaction
(ENABLED ? test : test.skip)(
"job A in ack + DLQ, job B added fresh",
async (t) => {
const ref = v4();
const jobA: QueueDoc = {
ref,
ack: v4(),
visible: DateTime.now().plus({ seconds: 30 }).toJSDate(),
attempts: {
tries: 4,
max: 3,
retryStrategy: {
type: "fixed",
amount: 5,
},
},
repeat: {
count: 0,
last: DateTime.now().minus({ days: 1 }).toJSDate(),
every: {
type: "duration",
value: "P1D",
},
},
payload: Queue.encodePayload("ack-job-dlq"),
};
const jobB: QueueDoc = {
ref,
ack: undefined,
visible: DateTime.now().plus({ hours: 1 }).toJSDate(),
attempts: {
tries: 0,
max: 3,
retryStrategy: {
type: "fixed",
amount: 5,
},
},
repeat: {
count: 0,
last: DateTime.now().plus({ hours: 1 }).toJSDate(),
every: {
type: "duration",
value: "P1D",
},
},
payload: Queue.encodePayload("new-value"),
};
const name = v4();
const driver = await t.context.createDriver();
const queue = new Queue<StringJob>(driver, name);
const col = await driver.getTable();
await col.insertOne(jobA);
await col.insertOne(jobB);
const w = new Worker<StringJob>({
doc: {
...jobA,
},
driver,
name,
payload: Queue.decodePayload(jobA.payload),
handler: async (job, api) => {
await api.ack();
},
emitter: queue.events,
visibility: 30,
});
// make sure indexes are built, then test
await queue.ready();
await w.processOne();
// after process, there should be only one job with ref in the future
const docs = await col
.find({
ref,
deleted: null,
visible: {
$gte: new Date(),
},
})
.toArray();
t.is(docs.length, 1);
t.is(docs[0].payload, Queue.encodePayload("new-value"));
}
);