Readability changes to FAQ.rst
Work on grammar, spelling and typos.
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Richard Laager
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@@ -43,7 +43,7 @@ other filesystem) will write the damaged data to disk and be unable to
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automatically detect the corruption.
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Unfortunately, ECC memory is not always supported by consumer grade
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hardware. And even when it is ECC memory will be more expensive. For
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hardware. And even when it is, ECC memory will be more expensive. For
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home users the additional safety brought by ECC memory might not justify
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the cost. It's up to you to determine what level of protection your data
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requires.
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@@ -89,7 +89,7 @@ strongly discouraged in the Linux kernel. This is particularly true on
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32-bit architectures where the virtual address space is limited to 100M
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by default. Using the virtual address space on 64-bit Linux kernels is
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also discouraged but the address space is so much larger than physical
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memory it is less of an issue.
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memory that it is less of an issue.
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If you are bumping up against the virtual memory limit on a 32-bit
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system you will see the following message in your system logs. You can
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@@ -141,7 +141,7 @@ you.
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- Benefits: This method is easy for a quick test, the names are
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short, and they will be available on all Linux distributions.
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- Drawbacks: The names are not persistent and will change depending
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on what order they disks are detected in. Adding or removing
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on what order the disks are detected in. Adding or removing
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hardware for your system can easily cause the names to change. You
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would then need to remove the zpool.cache file and re-import the
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pool using the new names.
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@@ -157,7 +157,7 @@ you.
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- Benefits: Nice for small systems with a single disk controller.
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Because the names are persistent and guaranteed not to change, it
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doesn't matter how the disks are attached to the system. You can
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take them all out, randomly mixed them up on the desk, put them
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take them all out, randomly mix them up on the desk, put them
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back anywhere in the system and your pool will still be
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automatically imported correctly.
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- Drawbacks: Configuring redundancy groups based on physical
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@@ -392,7 +392,7 @@ Sending Large Blocks
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~~~~~~~~~~~~~~~~~~~~
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When sending incremental streams which contain large blocks (>128K) the
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``--large-block`` flag must be specified. Inconsist use of the flag
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``--large-block`` flag must be specified. Inconsistent use of the flag
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between incremental sends can result in files being incorrectly zeroed
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when they are received. Raw encrypted send/recvs automatically imply the
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``--large-block`` flag and are therefore unaffected.
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@@ -431,7 +431,7 @@ based on the underlying filesystem. As CEPH only officially
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supports/detects XFS and BTRFS, for all other filesystems it falls back
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to rather `limited "safe"
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values <https://github.com/ceph/ceph/blob/4fe7e2a458a1521839bc390c2e3233dd809ec3ac/src/common/config_opts.h#L1125-L1148>`__.
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On newer releases need for larger xattrs will prevent OSD's from even
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On newer releases, the need for larger xattrs will prevent OSD's from even
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starting.
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The officially recommended workaround (`see
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@@ -465,12 +465,12 @@ Other General Guidelines
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- Use a SLOG device, even with a separate CEPH journal device. For some
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workloads, skipping SLOG and setting ``logbias=throughput`` may be
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acceptable.
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- Use a high-quality SLOG/CEPH journal device, consumer based SSD, or
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- Use a high-quality SLOG/CEPH journal device. A consumer based SSD, or
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even NVMe WILL NOT DO (Samsung 830, 840, 850, etc) for a variety of
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reasons. CEPH will kill them quickly, on-top of the performance being
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quite low in this use. Generally recommended are [Intel DC S3610,
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quite low in this use. Generally recommended devices are [Intel DC S3610,
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S3700, S3710, P3600, P3700], or [Samsung SM853, SM863], or better.
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- If using an high quality SSD or NVMe device(as mentioned above), you
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- If using a high quality SSD or NVMe device (as mentioned above), you
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CAN share SLOG and CEPH Journal to good results on single device. A
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ratio of 4 HDDs to 1 SSD (Intel DC S3710 200GB), with each SSD
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partitioned (remember to align!) to 4x10GB (for ZIL/SLOG) + 4x20GB
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@@ -487,8 +487,8 @@ Performance Considerations
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To achieve good performance with your pool there are some easy best
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practices you should follow.
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- **Evenly balance your disk across controllers:** Often the limiting
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factor for performance is not the disk but the controller. By
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- **Evenly balance your disks across controllers:** Often the limiting
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factor for performance is not the disks but the controller. By
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balancing your disks evenly across controllers you can often improve
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throughput.
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- **Create your pool using whole disks:** When running zpool create use
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