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fio基础13

sync_file_range=str:valUsesync_file_range()forevery'val'numberofwriteoperations.Fiowilltrackrangeofwritesthathavehappenedsincethelastsync_file_range()call.'str'cancurrentlybeoneormoreof:wait_beforeSYNC_FILE_RANGE_WAIT_BEFOREwriteSYNC_FILE_RANGE_WRITEwait_afterSYNC_FILE_RANGE_WAIT_AFTERSoifyoudosync_file_range=wait_before,write:8,fiowoulduseSYNC_FILE_RANGE_WAIT_BEFORE|SYNC_FILE_RANGE_WRITEforevery8writes.Alsoseethesync_file_range(2)manpage.ThisoptionisLinuxspecific.overwrite=boolIftrue,writestoafilewillalwaysoverwriteexistingdata.Ifthefiledoesn't already exist, it will be created before the write phase begins. If the file exists and is large enough for the specified write phase, nothing will be done. end_fsync=bool If true, fsync file contents when a write stage has completed. fsync_on_close=bool If true, fio will fsync() a dirty file on close. This differs from end_fsync in that it will happen on every file close, not just at the end of the job. rwmixread=int How large a percentage of the mix should be reads. rwmixwrite=int How large a percentage of the mix should be writes. If both rwmixread and rwmixwrite is given and the values do not add up to 100%, the latter of the two will be used to override the first. This may interfere with a given rate setting, if fio is asked to limit reads or writes to a certain rate. If that is the case, then the distribution may be skewed. random_distribution=str:float By default, fio will use a completely uniform random distribution when asked to perform random IO. Sometimes it is useful to skew the distribution in specific ways, ensuring that some parts of the data is more hot than others. fio includes the following distribution models: random Uniform random distribution zipf Zipf distribution pareto Pareto distribution When using a zipf or pareto distribution, an input value is also needed to define the access pattern. For zipf, this is the zipf theta. For pareto, it'stheparetopower.Fioincludesatestprogram,genzipf,thatcanbeusedvi

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