Tag Archives: IOC

Adding a RAMDISK as SLOG ZIL to ZFS

If you use ZFS with spinning drives and you share iSCSI, you will need to use a SLOG device for ZIL otherwise you’ll see your iSCSI connections interrupted.

What is a ZIL?

  • ZIL: Acronym for ZFS Intended Log. Logs synchronous operations to disk
  • SLOG: Acronym for (S)eperate (LOG) Device

In ZFS Data is first written and stored in-memory, then it’s flushed to drives. This can take 10 seconds normally, a bit more in certain occasions.

So without SLOG it can happen that if a power loss occurs, you may loss the last 10 seconds of Data submitted.

The SLOG device brings security that if there is a power loss, after remounting the pool, the information in the SLOG, acknowledged to iSCSI clients, is not lost and flushed to the Hard drives conforming the pool. Basically this device keeps the writings that come from network and flushes to the Hard drives and then clears this data from the SLOG.

The SLOG also allows ZFS to sort how the transactions will be written, to do in a more efficient way.

Normally I’m describing configurations with a fast device for SLOG ZIL, like one or a pair of NVMe drive or SAS SSD, most commonly in mirror a pool of 12 HDD drives or more SAS preferentially, maybe SATA, with 14TB or more each.

As the SLOG device will persist your Data if there is a power off, and submit to the pool the accepted transactions, it is clear that you cannot spare yourself from having a SLOG ZIL device (or better a mirror). It is needed to bring security when remotely writing.

But what happens if we have a kind of business where we don’t care about that the last 10 seconds writings may be lost? (ZFS will never get corrupted due to its kinda journal system), just because we are filling a Server the fastest possible, migrating from another, or because we are running workouts that can be retaken is some data is lost… do we really need to have the speed constrain of an SSD?. Examples are a Hadoop node, or a SETI@Home client. Tasks will be resumed if something failed.

Or maybe you fill your servers with sync=always, so writing it’s safe, and then you use them only for read, or for a Statics Internet Caches (CDNs like Akamai, Cloudfare…) or you use it for storing Backups, write once read many. You don’t really need the constraint speed of a ZIL running at 800 MB/s.

Let me put in another way, we have 2 NIC 100Gbps, in bonding, so 200Gbps (equivalent to (25GB/s Gigabytes per second), 90 HDD drives that can work in parallel up to 250 MB/s each (22.5GB/s) and our Server has a pair or SAS SSD ZIL in mirror, that writes at 900 MB/s (Megabytes per second, so 0.9 GB/s), so our bottleneck or constraint is the SLOG ZIL.

Adding one RAMDISK, or better two RAMDISKs in mirror, we can get to much more highers speeds. I cannot tell you how much, but in my tests with regular configurations (8D+3P) I was achieving more than 2 GB (Gigabytes) per second sustained of Data to the pool. Take in count that the speed writing to the pool does not only depend on the speed on the ZIL, and the speed of the HDD spinning drives (slow, between 100 and 250 MB/s), but also about the config of the pool (number of vdevs, distributions of data and parity drives) and the throughput of your IOC (Input Output Controller), and the number of them.

Live real scenarios use to be more in the line of having 2x10GbpE cards, combined in bonding making 20Gbps, so being able to transmit 2.5GB/s. So to get the max speed of our Network this Ramdrive will do it. Also NVMe devices used as ZIL will do it.

The problem with the NVMe is that they are connected to the PCI Express bus, and so they are not hot swap. If one dies, you cannot replace without stopping the Server.

The problem with the SSD is that they are not made for writing, they will die, so you need at least a mirror and for heavy IO I strongly recommend you to go with Enterprise grade SAS SSD drives. Those are made to last.

SSD Enterprise grade are double price versus one common SSD, but that peace of mind and extra lasting is worth it. And you don’t need a very big device, only has to hold 10 seconds of Data at max speed. So if you can ingest Data through the Network at 20 Gbps (2.5GB/s) you only need approximately 25 GB of space of the SLOG. 50 GB if you want to be more than safe.

Also you can use partitions instead of complete devices for the SLOG (like for the ZFS pool, where you can add complete drives, or partitions).

If you write locally, and you have 4 IOC’s capable of delivering 8 GB/s each, and you write to a Dataset to the pool, and not to a ZVOL which are slow by nature, you can get astonishing combined speed writing to the drives. If you are migrating a Server to another new, where you can resume if power goes down, then it’s safe to disable sync (set async) while this process runs, and turn sync on when going live to production. If you use async you don’t need to use a SLOG.

4 IOC’s able to deliver 8 GB/s are enough to provide sustained speed to 90 HDD SAS drives. 90x200MB/s=18GB/s required at max speed or 90x250MB/s=22.5GB/s.

The HDD drives provide different speeds in the inner and in the outer areas of the drive, so normally those drives up to 8TB perform between 100 and 200 MB/s, and the drives from 10TB SAS to 14TB SAS perform between 145 and 250 MB/s. I cannot tell about the 16 TB as I’ve not tested them.

The instructions to set a Ramdrive and to assign to a pool are like this:

#!/usr/bin/env bash
RAM_GB=1
RAM_DRIVE_SIZE_IN_BYTES=$((RAM_GB*1048576))

if [[ $(id -u) -ne 0 ]] ; then
    echo "Please run as root"
    exit 1
fi

modprobe brd rd_nr=1 rd_size=${RAM_DRIVE_SIZE_IN_BYTES} max_part=0

echo "Use it like: zpool add carlespool log ram0"

If you created more than one Ramdisk you can add a mirror for the slog to the pool with:

zpool add carlespool log mirror /dev/ram0 /dev/ram1

You can partition the Ramdrive and add a partition but we want to add the whole ram device.

Obviously you cannot put other things to that Ramdisk (like the Metadata) as you need persistence for that.

In any case, please, avoid JBODs loaded of big HDD drives with low bandwidth micro SATA like 3Gbps per channel to the Server, and RAID. The bandwidth is too low. Your rebuilds will take forever.

With ZFS you’ll resilver (rebuild) only the actual data, not the whole drive.

The Ethernet standards group announces a new 800 GbE specification

Here is the link to the new: https://www.pcgamer.com/amp/the-ethernet-standards-group-developed-a-new-speed-so-fast-it-had-to-change-its-name/

This is a great new for scaling performance in the Data Centers. For routers, switches…

And this makes me think about all the Architects that are using Memcached and Redis in different Servers, in Networks of 1Gbps and makes me want to share with you what a nonsense, is often, that.

So the idea of having Memcache or Redis is just to cache the queries and unload the Database from those queries.

But 1Gbps is equivalent to 125MB (Megabytes) per second.

Local RAM Memory in Servers can perform at 24GB and more (24,000,000 Megabytes) per second, even more.

A PCIE NVMe drive at 3.5GB per second.

A local SSD drive without RAID 550 MB/s.

A SSD in the Cloud, varies a lot on the provider, number of drives, etc… but I’ve seen between 200 MB/s and 2.5GB/s aggregated in RAID.

In fact I have worked with Servers equipped with several IO Controllers, that were delivering 24GB/s of throughput writing or reading to HDD spinning drives.

If you’re in the Cloud. Instead of having 2 Load Balancers, 100 Front Web servers, with a cluster of 5 Redis with huge amount of RAM, and 1 MySQL Master and 1 Slave, all communicating at 1Gbps, probably you’ll get a better performance having the 2 LBs, and 11 Front Web with some more memory and having the Redis instance in the same machine and saving the money of that many small Front and from the 5 huge dedicated Redis.

The same applies if you’re using Docker or K8s.

Even if you just cache the queries to drive, speed will be better than sending everything through 1 Gbps.

This will matter for you if your site is really under heavy load. Most of the sites just query the MySQL Server using 1 Gbps lines, or 2 Gbps in bonding, and that’s enough.