On 16/06/17 10:51, Pranith Kumar Karampuri wrote:


On Fri, Jun 16, 2017 at 12:02 PM, Xavier Hernandez
<xhernan...@datalab.es <mailto:xhernan...@datalab.es>> wrote:

    On 15/06/17 11:50, Pranith Kumar Karampuri wrote:



        On Thu, Jun 15, 2017 at 11:51 AM, Ashish Pandey
        <aspan...@redhat.com <mailto:aspan...@redhat.com>
        <mailto:aspan...@redhat.com <mailto:aspan...@redhat.com>>> wrote:

            Hi All,

            We have been facing some issues in disperse (EC) volume.
            We know that currently EC is not good for random IO as it
        requires
            READ-MODIFY-WRITE fop
            cycle if an offset and offset+length falls in the middle of
        strip size.

            Unfortunately, it could also happen with sequential writes.
            Consider an EC volume with configuration  4+2. The stripe
        size for
            this would be 512 * 4 = 2048. That is, 2048 bytes of user data
            stored in one stripe.
            Let's say 2048 + 512 = 2560 bytes are already written on this
            volume. 512 Bytes would be in second stripe.
            Now, if there are sequential writes with offset 2560 and of
        size 1
            Byte, we have to read the whole stripe, encode it with 1
        Byte and
            then again have to write it back.
            Next, write with offset 2561 and size of 1 Byte will again
            READ-MODIFY-WRITE the whole stripe. This is causing bad
        performance.

            There are some tools and scenario's where such kind of load is
            coming and users are not aware of that.
            Example: fio and zip

            Solution:
            One possible solution to deal with this issue is to keep
        last stripe
            in memory.
            This way, we need not to read it again and we can save READ fop
            going over the network.
            Considering the above example, we have to keep last 2048 bytes
            (maximum)  in memory per file. This should not be a big
            deal as we already keep some data like xattr's and size info in
            memory and based on that we take decisions.

            Please provide your thoughts on this and also if you have
        any other
            solution.


        Just adding more details.
        The stripe will be in memory only when lock on the inode is active.


    I think that's ok.

        One
        thing we are yet to decide on is: do we want to read the stripe
        everytime we get the lock or just after an extending write is
        performed.
        I am thinking keeping the stripe in memory just after an
        extending write
        is better as it doesn't involve extra network operation.


    I wouldn't read the last stripe unconditionally every time we lock
    the inode. There's no benefit at all on random writes (in fact it's
    worse) and a sequential write will issue the read anyway when
    needed. The only difference is a small delay for the first operation
    after a lock.


Yes, perfect.



    What I would do is to keep the last stripe of every write (we can
    consider to do it per fd), even if it's not the last stripe of the
    file (to also optimize sequential rewrites).


Ah! good point. But if we remember it per fd, one fd's cached data can
be over-written by another fd on the disk so we need to also do cache
invalidation.

We only cache data if we have the inodelk, so all related fd's must be from the same client, and we'll control all its writes so cache invalidation in this case is pretty easy.

There exists the possibility to have two fd's from the same client writing to the same region. To control this we would need some range checking in the writes, but all this is local, so it's easy to control it.

Anyway, this is probably not a common case, so we could start by caching only the last stripe of the last write, ignoring the fd.

May be implementation should consider this possibility.
Yet to think about how to do this. But it is a good point. We should
consider this.

Maybe we could keep a list of cached stripes sorted by offset in the inode (if the maximum number of entries is small, we could keep the list not sorted). Each fd should store the offset of the last write. Cached stripes should have a ref counter just to account for the case that two fd's point to the same offset.

When a new write arrives, we check the offset stored in the fd and see if it corresponds to a sequential write. If so, we look at the inode list to find the cached stripe, otherwise we can release the cached stripe.

We can limit the number of cached entries and release the least recently used when we reach some maximum.




    One thing I've observed is that a 'dd' with block size of 1MB gets
    split into multiple 128KB blocks that are sent in parallel and not
    necessarily processed in the sequential order. This means that big
    block sizes won't benefit much from this optimization since they
    will be seen as partially non-sequential writes. Anyway the change
    won't hurt.


In this case as per the solution we won't cache anything right? Because
we didn't request anything from the disk. We will only keep the data in
cache if it is not aligned write which is at the current EOF. At least
that is what I had in mind.

Suppose we are writing multiple 1MB blocks at offset 1. If each write is split into 8 blocks of 128KB, all writes will be not aligned, and can be received in any order. Suppose that the first write happens to be at offset 128K + 1. We don't have anything cached, so we read the needed stripes and cache the last one. Now the next write is at offset 1. In this case we won't get any benefit from the previous write, since the stripe we need is not cached. However the write from the user point of view is sequential.

It won't hurt but it won't take all benefits from the new caching mechanism.

As a mitigating factor, we could consider to extend the previous solution I've explained to allow caching multiple stripes per fd. A small number like 8 would be enough.

Xavi




    Xavi





            ---
            Ashish



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        --
        Pranith





--
Pranith

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