![]() As such, a subsequent operation won’t need to read from hard disk and will be substantially faster. If this has already been done recently, some or all of the blocks are likely to already be in L2 cache. If you only read the filenames in the directory, and you don’t attempt to stat any associated metadata, then this requires a relatively small amount of I/O to pull the names from the meta-tree and should be fairly fast. However, ff all you’re trying to do is list the filenames, it actually makes that operation much slower. READDIRPLUS is useful if the client is going to need the metadata. ![]() When it comes to NFS, the behavior is going to partially depend on whether the client is doing READDIRPLUS operations vs READDIR. To reduce the directory enumeration time, where possible divide the files up into multiple subdirectories. Note: The Lincount job will also include snapshot revisions of LINs in its count.Īlternatively, if another treewalk job has run against the directory you wish to know the count for, you might be in luck.Īt any rate, hundreds of thousands of files is a large number to store in one directory. The "LINs traversed" metric indicates that 1722 files and directories were found. To view results, run the following command from the CLI: # isi job reports view Note: The number in square brackets is the job ID. The output from this will be along the lines of “Added job ”. The following syntax can be used to kick off the Lincount job from the OneFS CLI: # isi job start lincount The job itself runs by default at the LOW priority and is the fastest method of determining object count on OneFS, assuming no other job has run to completion. The LIN count is essentially equivalent to the total file and directory count on a cluster. Lincount (relatively) quickly scans the filesystem and returns the total count of LINs (logical inodes).
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