what's important:
* if task code ran, it exits with 0. this code is regardless of (error, result)
* when it exited cleanly, we will get the values from the database
* if task timed out, the box code kills it and it has a flag tracking timedOut. we can
ignore exit code in this case.
* if task code was stopped, box code will send SIGTERM which ideally it will handle and end with 70.
* if task code crashed and it caught the exception, it will return 50
* if task code crashed and node nuked us, it will exit with 1
* if task code was killed with some unhandleabe signal, taskworker.sh will return the signal (9=SIGKILL)
Currently, the update/apptask/fullbackup/platformstart take a
global lock and cannot run in parallel. This causes situations
where when a user tries to trigger an apptask, it says "waiting for
backup to finish..." etc
The solution is to let them run in parallel. We need a lock at the
app level as app operations running in parallel would be bad (tm).
In addition, the update task needs a lock just for the update part.
We also need multi-process locks. Running tasks as processes is core
to our "kill" strategy.
Various inter process locks were explored:
* node's IPC mechanism with process.send(). But this only works for direct node.js
children. taskworker is run via sudo and the IPC does not work.
* File lock using O_EXCL. Basic ideas to create lock files. While file creation
can be done atomically, it becomes complicated to clean up lock files when
the tasks crash. We need a way to know what locks were held by the crashing task.
flock and friends are not built-into node.js
* sqlite/redis were options but introduce additional deps
* Settled on MySQL based locking. Initial plan was to have row locks
or table locks. Each row is a kind of lock. While implementing, it was found that
we need many types of locks (and not just update lock and app locks). For example,
we need locks for each task type, so that only one task type is active at a time.
* Instead of rows, we can just lock table and have a json blob in it. This hit a road
block that LOCK TABLE is per session and our db layer cannot handle this easily! i.e
when issing two db.query() it might use two different connections from the pool. We have to
expose the connection, release connection etc.
* Next idea was atomic blob update of the blob checking if old blob was same. This approach,
was finally refined into a version field.
Phew!
the happy eyeballs implementation in node is buggy. ipv4 and ipv6 connections
are made in parallel and whichever responds first is chosen. when there is no
ipv6 (immediately errors with ENETUNREACH/EHOSTUNREACH) and when ipv4 is > 250ms,
the code erroneously times out.
see also https://github.com/nodejs/node/issues/54359
reproduction for those servers:
const options = {
hostname: 'www.cloudron.io', port: 80, path: '/', method: 'HEAD',
// family: 4, // uncomment to make it work
};
const req = require('http').request(options, (res) => {
console.log('statusCode:', res.statusCode);
res.on('data', () => {}); // drain
});
req.on('socket', (socket) => console.log('Socket assigned to request', socket););
req.on('error', (e) => console.error(e));
req.end();
