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
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
|
#!/usr/bin/node
/* jshint esnext:true */
"use strict";
/*
* cruncher calculates global_point and player_point for stats.
* It listens to the queue `crunch` and expects a JSON with
* a string that is a `participant.api_id`.
* cruncher will update the sums of points
* and send a notification to web.
*/
const amqp = require("amqplib"),
Promise = require("bluebird"),
fs = Promise.promisifyAll(require("fs")),
winston = require("winston"),
loggly = require("winston-loggly-bulk"),
Seq = require("sequelize"),
sleep = require("sleep-promise");
const RABBITMQ_URI = process.env.RABBITMQ_URI,
DATABASE_URI = process.env.DATABASE_URI,
LOGGLY_TOKEN = process.env.LOGGLY_TOKEN,
// size of connection pool
MAXCONNS = parseInt(process.env.MAXCONNS) || 3,
// number of participants to calculate at once
BATCHSIZE = parseInt(process.env.BATCHSIZE) || 1000,
LOAD_TIMEOUT = parseInt(process.env.LOAD_TIMEOUT) || 5; // s
const logger = new (winston.Logger)({
transports: [
new (winston.transports.Console)({
timestamp: true,
colorize: true
})
]
});
// loggly integration
if (LOGGLY_TOKEN)
logger.add(winston.transports.Loggly, {
inputToken: LOGGLY_TOKEN,
subdomain: "kvahuja",
tags: ["backend", "cruncher"],
json: true
});
(async () => {
let seq, rabbit, ch;
// connect to rabbit & db
while (true) {
try {
seq = new Seq(DATABASE_URI, {
logging: false,
max: MAXCONNS
}),
rabbit = await amqp.connect(RABBITMQ_URI, { heartbeat: 320 }),
ch = await rabbit.createChannel();
await ch.assertQueue("crunch", {durable: true});
break;
} catch (err) {
logger.error("Error connecting", err);
await sleep(5000);
}
}
// load update SQL scripts; scripts use sequelize replacements
// for the `participant_api_id` array
const player_script = fs.readFileSync("crunch_player.sql", "utf8"),
global_script = fs.readFileSync("crunch_global.sql", "utf8");
// fill a buffer and execute an SQL on a bigger (> 1o) batch
const participants_player = new Set(),
participants_global = new Set(),
// store the msgs that should be ACKed
buffer = new Set();
let timeout = undefined;
// set maximum allowed number of unacked msgs
await ch.prefetch(BATCHSIZE);
ch.consume("crunch", (msg) => {
const api_id = msg.content.toString();
if (msg.properties.type == "global")
participants_global.add(api_id);
if (msg.properties.type == "player")
participants_player.add(api_id);
buffer.add(msg);
if (timeout == undefined) timeout = setTimeout(crunch, LOAD_TIMEOUT*1000);
if (buffer.size >= BATCHSIZE) crunch();
}, { noAck: false });
// execute the scripts
async function crunch() {
const profiler = logger.startTimer();
logger.info("crunching");
// prevent async issues
const api_ids_player = [...participants_player],
api_ids_global = [...participants_global],
msgs = new Set(buffer);
participants_global.clear();
participants_player.clear();
buffer.clear();
clearTimeout(timeout);
timeout = undefined;
if (api_ids_global.length > 0)
await seq.query(global_script, {
replacements: { participant_api_ids: api_ids_global },
type: seq.QueryTypes.UPSERT
});
if (api_ids_player.length > 0)
await seq.query(player_script, {
replacements: { participant_api_ids: api_ids_player },
type: seq.QueryTypes.UPSERT
});
// ack
await Promise.map(msgs, async (m) => await ch.ack(m));
// notify web
// TODO notify for player too
await ch.publish("amq.topic", "global", new Buffer("points_update"));
profiler.done("crunched", { size: msgs.size });
}
})();
process.on("unhandledRejection", function(reason, promise) {
logger.error(reason);
});
|