Tag Archives: ZIL

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.

Some handy tricks for working with ZFS

Last Update: 2022-04-16 14:50 Irish time

Adding a RAM drive as SLOG (ZIL)

I came with this solution when one of my 4U60 Servers had two slots broken. You’ll not use this in Production, as SLOG loses its function, but I managed to use one $40K USD broken Server and to demonstrate that the Speed of the SLOG device (ZFS Intented Log or ZIL device) sets the constraints for the writing speed.

The ZFS DRAID config I was using required 60 drives, basically 58 14TB Spinning drives and 2 SSD for the SLOG ZIL. As I only had 58 slots I came with this idea.

This trick can be very useful if you have a box full of Spinning drives, and when sharing by iSCSI zvols you get disconnected in the iSCSI Initiator side. This is typical when ZFS has only Spinning drives and it has no SLOG drives (dedicated fast devices for the ZIL, ZFS INTENDED LOG)

Create a single Ramdrive of 10GB of RAM:

modprobe brd rd_nr=1 rd_size=10485760 max_part=0

Confirm ram0 device exists now:

ls /dev/ram*

Confirm that the pool is imported:

zpool list

Add to the pool:

zpool add carles-N58-C3-D16-P2-S4 log ram0

In the case that you want to have two ram devices as SLOG devices, in mirror.

zpool add carles-N58-C3-D16-P2-S4 log mirror <partition/drive 1> <partition/drive 2>

It is interesting to know that you can work with partitions instead of drives. So for this test we could have partitioned ram0 with 2 partitions and make it work in mirror. You’ll see how much faster the iSCSI communication goes over the network. The writing speed of the ZIL SLOG device is the constrain for ingesting Data from the Network to the Server.

Creating a partition bigger than 2TiB

Master Boot Record (MBR) based partitioning is limited to 2TiB however GUID Partition Table (GPT) has a limit of 8 ZiB.

That’s something very simply, but make you lose time if you’re partitioning big iSCSI Shares, or ZFS Zvols, so here is the trick:

[root@CTRLA-18 ~]# cat /etc/redhat-release 
 Red Hat Enterprise Linux Server release 7.6 (Maipo)
 [root@CTRLA-18 ~]# parted /dev/zvol/N58-C19-D2-P1-S1/vol54854gb 
 GNU Parted 3.1
 Using /dev/zd0
 Welcome to GNU Parted! Type 'help' to view a list of commands.
 (parted) mklabel gpt
 Warning: The existing disk label on /dev/zd0 will be destroyed and all data on this disk will be lost. Do you want to continue?
 Yes/No? y                                                                 
 (parted) print                                                            
 Model: Unknown (unknown)
 Disk /dev/zd0: 58.9TB
 Sector size (logical/physical): 512B/65536B
 Partition Table: gpt
 Disk Flags: 
 Number  Start  End  Size  File system  Name  Flags
 (parted) mkpart primary 0GB 58.9TB                                        
 (parted) print                                                            
 Model: Unknown (unknown)
 Disk /dev/zd0: 58.9TB
 Sector size (logical/physical): 512B/65536B
 Partition Table: gpt
 Disk Flags: 
 Number  Start   End     Size    File system  Name     Flags
  1      1049kB  58.9TB  58.9TB               primary
 (parted) quit                                                             
 Information: You may need to update /etc/fstab.
 [root@CTRLA-18 ~]# mkfs                                                   
 mkfs         mkfs.btrfs   mkfs.cramfs  mkfs.ext2    mkfs.ext3    mkfs.ext4    mkfs.minix   mkfs.xfs     
 [root@CTRLA-18 ~]# mkfs.ext4 /dev/zvol/N58-C19-D2-P1-S1/vol54854gb
 mke2fs 1.42.9 (28-Dec-2013)
....
[root@CTRLA-18 ~]# mount /dev/zvol/N58-C19-D2-P1-S1/vol54854gb /Data
[root@CTRLA-18 ~]# df -h
 Filesystem             Size  Used Avail Use% Mounted on
 /dev/mapper/rhel-root   50G  2.5G   48G   5% /
 devtmpfs               126G     0  126G   0% /dev
 tmpfs                  126G     0  126G   0% /dev/shm
 tmpfs                  126G  1.1G  125G   1% /run
 tmpfs                  126G     0  126G   0% /sys/fs/cgroup
 /dev/sdp1             1014M  151M  864M  15% /boot
 /dev/mapper/rhel-home   65G   33M   65G   1% /home
 logs                    49G  349M   48G   1% /logs
 mysql                  9.7G  128K  9.7G   1% /mysql
 tmpfs                   26G     0   26G   0% /run/user/0
 /dev/zd0                54T   20K   51T   1% /Data

ZFS is unable to use a disk

Some times, after creating many pools ZFS may be unable to create a new pool using a drive that is perfectly fine. In this situation, the ideal is wipe the first areas of it, or all of it if you want. If it’s an SSD that is very fast:

dd if=/dev/zero of=/dev/sdc bs=1M status=progress

The status=progress will show a nice progress bar.

Filling a half Petabyte pool as fast as possible

To fill a 60 drives pool composed by 10TB or 14TB spinning drives, so more than half PB, in order to test with real data, you can use this trick:

First, write to the Dataset directly, that’s way much more faster than using zvols.

Secondly, disable the ZIL, set sync=disabled.

Third, use a file in memory to avoid the paytime of reading the file from disk.

Fourth, increase the recordsize to 1M for faster filling (in my experience).

You can use this script of mine that does everything for you, normally you would like to run it inside an screen session, and create a Dataset called Data. The script will mount it in /Data (zfs set mountpoint=/data YOURPOOL/Data):

#!/usr/bin/env bash
# Created by Carles Mateo
FILE_ORIGINAL="/run/urandom.1GB"
FILE_PATTERN="/Data/urandom.1GB-clone."
# POOL="N56-C5-D8-P3-S1"
POOL="N58-C3-D16-P3-S1"
# The starting number, if you interrupt the filling process, you can update it just by updating this number to match the last partially written file
i_COPYING_INITIAL_NUMBER=1
# For 75% of 10TB (3x(16+3)+1 has 421TiB, so 75% of 421TiB or 431,104GiB is 323,328) use 323328
# i_COPYING_FINAL_NUMBER=323328
# For 75% of 10TB, 5x(8+3)+1 ZFS sees 352TiB, so 75% use 270336
# For 75% of 14TB, 3x(16+3)+1, use 453120
i_COPYING_FINAL_NUMBER=453120

# Creating an array that will hold the speed of the latest 1 minute
a_i_LATEST_SPEEDS=(0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0)
i_POINTER_SPEEDS=0
i_COUNTER_SPEEDS=-1
i_ITEMS_KEPT_SPEEDS=60
i_AVG_SPEED=0
i_FILES_TO_BE_COPIED=$((i_COPYING_FINAL_NUMBER-i_COPYING_INITIAL_NUMBER))

get_average_speed () {
# Calculates the Average Speed
   i_AVG_SPEED=0
   for i_index in {0..59..1}
       do
           i_SPEED=$((a_i_LATEST_SPEEDS[i_index]))
           i_AVG_SPEED=$((i_AVG_SPEED + i_SPEED))
       done
   i_AVG_SPEED=$((i_AVG_SPEED/((i_COUNTER_SPEEDS)+1)))
}


echo "Bash version ${BASH_VERSION}..."

echo "Disabling sync in the pool $POOL for faster speed"
zfs set sync=disabled $POOL
echo "Maximizing performance with recordsize"
zfs set recordsize=1M ${POOL}
zfs set recordsize=1M ${POOL}/Data
echo "Mounting the Dataset Data"
zfs set mountpoint=/Data ${POOL}/Data
zfs mount ${POOL}/Data

echo "Checking if file ${FILE_ORIGINAL} exists..."
if [[ -f ${FILE_ORIGINAL} ]]; then
    ls -al ${FILE_ORIGINAL}
    sha1sum ${FILE_ORIGINAL}
else
    echo "Generating file..."
    dd if=/dev/urandom of=${FILE_ORIGINAL} bs=1M count=1024 status=progress
fi

echo "Starting filling process..."
echo "We are going to copy ${i_FILES_TO_BE_COPIED} , starting from: ${i_COPYING_INITIAL_NUMBER} to: ${i_COPYING_FINAL_NUMBER}"

for ((i_NUMBER=${i_COPYING_INITIAL_NUMBER}; i_NUMBER<=${i_COPYING_FINAL_NUMBER}; i_NUMBER++));
    do
        s_datetime_ini=$(($(date +%s%N)/1000000))
        DATE_NOW=`date '+%Y-%m-%d_%H-%M-%S'`
        echo "${DATE_NOW} Copying ${FILE_ORIGINAL} to ${FILE_PATTERN}${i_NUMBER}"
        cp ${FILE_ORIGINAL} ${FILE_PATTERN}${i_NUMBER}
        s_datetime_end=$(($(date +%s%N)/1000000))
        MILLISECONDS=$(expr "$s_datetime_end" - "$s_datetime_ini")
        if [[ ${MILLISECONDS} -lt 1 ]]; then
            BANDWIDTH_MBS="Unknown (too fast)"
            # That sould not happen, but if did, we don't account crazy speeds
        else
            BANDWIDTH_MBS=$((1000*1024/MILLISECONDS))
            # Make sure the Array space has been allocated
            if [[ ${i_POINTER_SPEEDS} -gt ${i_COUNTER_SPEEDS} ]]; then
                # Add item to the Array the first times only
                a_i_LATEST_SPEEDS[i_POINTER_SPEEDS]=${BANDWIDTH_MBS}
                i_COUNTER_SPEEDS=$((i_COUNTER_SPEEDS+1))
            else
                a_i_LATEST_SPEEDS[i_POINTER_SPEEDS]=${BANDWIDTH_MBS}
            fi
            i_POINTER_SPEEDS=$((i_POINTER_SPEEDS+1))
            if [[ ${i_POINTER_SPEEDS} -ge ${i_ITEMS_KEPT_SPEEDS} ]]; then
                i_POINTER_SPEEDS=0
            fi
            get_average_speed
        fi
        i_FILES_TO_BE_COPIED=$((i_FILES_TO_BE_COPIED-1))
        i_REMAINING_TIME=$((1024*i_FILES_TO_BE_COPIED/i_AVG_SPEED))
        i_REMAINING_HOURS=$((i_REMAINING_TIME/3600))
        echo "File cloned in ${MILLISECONDS} milliseconds at ${BANDWIDTH_MBS} MB/s"
        echo "Avg. Speed: ${i_AVG_SPEED} MB/s Remaining Files: ${i_FILES_TO_BE_COPIED} Remaining seconds: ${i_REMAINING_TIME} s. (${i_REMAINING_HOURS} h.)"
    done

echo "Enabling sync=always"
zfs set sync=always ${POOL}
echo "Setting back recordsize to 128K"
zfs set recordsize=128K ${POOL}
zfs set recordsize=128K ${POOL}/Data
echo "Unmounting /Data"
zfs set mountpoint=none ${POOL}/Data

Creating a Sparse file that you can partition or create a loopback on it

I know, your laptop has 512GB of M.2 SSD or NVMe, so that’s it.

Well, you can create a sparse file much more bigger than your capacity, and use 0 bytes of it at all.

For example:

truncate -s 1600GB file_disk0.img

If the files are stored in / then you can add a loop device:

sudo losetup -f /file_disk0.img

I do with the 5 I created.

Then you can check that they exist with:

lsblk

or

cat /proc/partitions

The loop devices will appear under /dev/ now.

For some tests I did this in a Virtual Box Virtual Machine:

root@ansiblemaster:/home/carles# truncate -s 1GB /file_disk0.img
root@ansiblemaster:/home/carles# truncate -s 1GB /file_disk1.img
root@ansiblemaster:/home/carles# truncate -s 1GB /file_disk2.img
root@ansiblemaster:/home/carles# sudo losetup -f /file_disk0.img
root@ansiblemaster:/home/carles# sudo losetup -f /file_disk1.img
root@ansiblemaster:/home/carles# sudo losetup -f /file_disk2.img
root@ansiblemaster:/home/carles# lsblk
NAME                      MAJ:MIN RM   SIZE RO TYPE MOUNTPOINT
loop0                       7:0    0  61.9M  1 loop /snap/core20/1270
loop1                       7:1    0  94.5M  1 loop /snap/go/9028
loop2                       7:2    0  61.9M  1 loop /snap/core20/1328
loop3                       7:3    0    15M  1 loop /snap/aws-cli/130
loop4                       7:4    0  55.5M  1 loop /snap/core18/2344
loop5                       7:5    0 110.8M  1 loop /snap/core/12725
loop6                       7:6    0  55.5M  1 loop /snap/core18/2284
loop7                       7:7    0  67.8M  1 loop /snap/lxd/22753
loop8                       7:8    0  67.2M  1 loop /snap/lxd/21835
loop9                       7:9    0  38.7M  1 loop /snap/postgresql10/47
loop10                      7:10   0  43.6M  1 loop /snap/snapd/14978
loop11                      7:11   0    12M  1 loop /snap/slcli/2072
loop12                      7:12   0 254.4M  1 loop /snap/google-cloud-sdk/226
loop13                      7:13   0 293.2M  1 loop /snap/google-cloud-sdk/234
loop14                      7:14   0  43.6M  1 loop /snap/snapd/15177
loop15                      7:15   0  12.3M  1 loop /snap/slcli/2111
loop16                      7:16   0  99.4M  1 loop /snap/go/9415
loop17                      7:17   0 953.7M  0 loop 
loop18                      7:18   0 953.7M  0 loop 
loop19                      7:19   0 953.7M  0 loop 
sda                         8:0    0    20G  0 disk 
├─sda1                      8:1    0     1M  0 part 
├─sda2                      8:2    0     1G  0 part /boot
└─sda3                      8:3    0    19G  0 part 
  └─ubuntu--vg-ubuntu--lv 253:0    0    19G  0 lvm  /
sr0                        11:0    1  1024M  0 rom  
root@ansiblemaster:/home/carles# cat /proc/partitions 
major minor  #blocks  name

   7        0      63392 loop0
   7        1      96796 loop1
   7        2      63396 loop2
   7        3      15324 loop3
   7        4      56848 loop4
   7        5     113456 loop5
   7        6      56840 loop6
   7        7      69440 loop7
  11        0    1048575 sr0
   8        0   20971520 sda
   8        1       1024 sda1
   8        2    1048576 sda2
   8        3   19919872 sda3
 253        0   19918848 dm-0
   7        8      68856 loop8
   7        9      39632 loop9
   7       10      44632 loop10
   7       11      12244 loop11
   7       12     260484 loop12
   7       13     300224 loop13
   7       14      44676 loop14
   7       15      12584 loop15
   7       16     101792 loop16
   7       17     976562 loop17
   7       18     976562 loop18
   7       19     976562 loop19

Finally I create a ZFS pool:

root@ansiblemaster:/home/carles# zpool create zfspool raidz loop17 loop18 loop19
root@ansiblemaster:/home/carles# zpool status
  pool: zfspool
 state: ONLINE
  scan: none requested
config:

	NAME        STATE     READ WRITE CKSUM
	zfspool     ONLINE       0     0     0
	  raidz1-0  ONLINE       0     0     0
	    loop17  ONLINE       0     0     0
	    loop18  ONLINE       0     0     0
	    loop19  ONLINE       0     0     0

errors: No known data errors