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ONTAP FlexCache write-back use cases

Contributors netapp-dbagwell elliott-ecton elliottecton

These are write profiles best suited for a write-back-enabled FlexCache. You should test your workload to see if write-back or write-around provides the best performance.

Note Write-back is not a replacement for write-around. Although write-back is designed with write-heavy workloads, write-around is still the better choice for many workloads.

Target workloads

File size

File size is less important than the number of writes issued between the OPEN and CLOSE calls for a file. Small files inherently have fewer WRITE calls, making them less ideal for write-back. Large files might have more writes between OPEN and CLOSE calls, but this isn't guaranteed.

Refer to the FlexCache write-back guidelines page for the most current recommendations regarding max file size.

Write size

When writing from a client, other modifying NAS calls are involved other than write calls. These include, but are not limited to:

  • CREATE

  • OPEN

  • CLOSE

  • SETATTR

  • SET_INFO

SETATTR and SET_INFO calls that set mtime, atime, ctime, owner, group, or size are processed at the cache. The rest of these calls must be processed at the origin and trigger a write-back of any dirty data accumulated at the write-back-enabled cache for the file being operated on. IO to the file will be quiesced until the write-back is complete.

Knowing that these calls must traverse the WAN helps you to identify workloads suited for write-back. Generally, the more writes that can be done between OPEN and CLOSE calls without one of the other calls listed above being issued, the better the performance gain write-back provides.

Read-after-write

Read-after-write workloads have historically performed poorly at FlexCache. This is due to the write-around mode of operation before 9.15.1. The WRITE call to the file has to be committed at the origin, and the subsequent READ call would have to pull the data back to the cache. This results in both operations incurring the penalty of the WAN. Therefore, read-after-write workloads are discouraged for FlexCache in write-around mode. With the introduction of write-back in 9.15.1, data is now committed at the cache, and can immediately be read from the cache, eliminating the WAN penalty. If your workload includes read-after-write at FlexCache volumes, you should configure the cache to operate in write-back mode.

Tip If read-after-write is a critical part of your workload, you should configure your cache to operate in write-back mode.
Write-after-write

When a file accumulates dirty data in a cache, the cache asynchronously writes the data back to the origin. This naturally leads to times when the client closes the file with dirty data still waiting to be flushed back to origin. If another open or write comes in for the file that was just closed and still has dirty data, the write will be suspended until all the dirty data has been flushed to origin.

Latency considerations

When FlexCache operates in write-back mode, it becomes more beneficial to NAS clients as latency increases. There is a point, however, at which the overhead of write-back outweighs the advantages gained in low-latency environments. In some NetApp tests, write-back benefits started around a minimum latency between cache and origin of 8ms. This latency varies with workload, so be sure to test to know your workload's point-of-return.

The following graph shows the point-of-return for write-back in NetApp lab tests. The x axis is the file-size, and the y axis is the elapsed time. The test used NFSv3, mounting with an rsize and wsize of 256KB, and 64ms of WAN latency. This test was performed using a small ONTAP Select instance for both the cache and origin, and a single threaded-write operation. Your results might vary.

Point of Return
Important Write-back should not be used for intracluster caching. Intracluster caching occurs when the origin and cache are in the same cluster.