Speed of the FW 800 HD

Hi !
How big is the difference between external HD (FW800) if RPM is 5400 or 7200.
If the machine is PowerBook G4 1.25 GHz, does it make any difference if the RPM of the HD is 5400 or 7200?
If it is portable HD which takes the power for the device from the firewire port, does it make difference if RPM is lower or higher?

<syriana voice> It's complicated</syriana voice>
From a practical standpoint, how a drive will work for you depends on the codec of the material you are editing and the number of streams you need to run simultaneously.
For example, DV runs at ~3.6MB/s, an absurdly low data rate. I used to capture DV material on my old Powerbook G4's internal 5400rpm drive when I had a Canon camera that wouldn't work with any other device on the same bus. I could go ahead and do a simple cuts only 1 stream edit with just the system drive. If I hooked up my 5400 rpm G-tech fw 400 mini, I could run a couple of streams while editing on the go. All very neat and no 7200 rpm drives in sight.
There are really five things you need to weigh when purchasing drives -
A. the connection protocol. A drive connected through FW400 will have a considerably lower throughput than the same drive connected through the system bus. If you are looking for the best bang for the buck, internal drives are the best way to go. In descending order of connection speed, I rank connection speed this way: Internal, esata, fw800, fw400. Note, I don't include usb2 as a viable protocol as they are not isochronous - that is they can not control the bus and send an uninterrupted data stream.
B. the drive cache. Drives with larger caches can load data in such a way that the pipeline never goes empty. This sometimes is more meaningful when you read/write lots of smaller files.
C. the rotational speed. The faster the disk rotation, the more rapidly the sectors come back under the read head. This doesn't necessarily translate into more throughput unless the drive sector system and read heads have been optimized for each other.
D. data distribution optimization. Most drives slow as they fill. External drives that are designed for A/V work slow less dramatically than drives designed as general backup devices.
E. RAID devices. Given you are distributing the Read/Write efforts over 2 or more drives, the speed of the individual drive becomes somewhat less important.
Have fun.
x

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    "seconds to run."
    Using the two stop clocks, I was able to see that the Get-Mailbox of all mailboxes took ~9 minutes. That isn’t lightning fast, but it isn’t unreasonable.
    The issue comes in where the Foreach loop with the Get-MailboxStatistics took ~53 minutes, and I am sure some of the mailbox data was cached on the servers from my various tests so it would probably take even longer with a cold
    run.
    I did some digging around and I really couldn’t find anything on how to speed up the Get-MailboxStatistics, and the only thing I found was this link:
    http://social.technet.microsoft.com/Forums/en-US/winserverpowershell/thread/9ceefddd-7a59-44ec-8fc0-8de244acb58b
    However I am not clear on how moving the Get-MailboxStatistics into the Get-Mailbox syntax (which is odd to me in general) would speed things up if I still have to have a foreach loop to process the data a little bit and add the
    users to a datatable. That discussion also made think the foreach loop itself is slowing things down but unclear as to how/why if that is true. 
    Can someone help share some ideas on how to speed up this process? I think there are some other things I could try but I can’t think of them.
    Thank you in advance.

    I think it's impossible to speed up the Get-MailboxStatistics when it is being called for each and every mailbox individually.
    I read somewhere in other posts people were having better performance by calling the cmdlet against an entire database or server so I gave it a shot with this code:
    $DAGS = "EXCHDAG1"
    # Start tracking the time this script takes to run.
    $StopWatch = New-Object System.Diagnostics.Stopwatch
    $StopWatch.Start()
    $MailboxStatistics = New-Object System.Data.DataTable “MailboxStatistics”
    $MailboxStatistics.Columns.Add("TotalitemSize",[String]) | Out-Null
    $MailboxStatistics.Columns.Add("ItemCount",[String]) | Out-Null
    $MailboxStatistics.Columns.Add("LastLogonTime",[String]) | Out-Null
    $MailboxStatistics.Columns.Add("LastLogoffTime",[String]) | Out-Null
    $MailboxStatistics.Columns.Add("MailboxGUID",[String]) | Out-Null
    $MailboxStatistics.PrimaryKey = $MailboxStatistics.Columns["MailboxGUID"]
    ForEach ($DAGServer in (Get-DatabaseAvailabilityGroup $DAGS).Servers) {
    ForEach ($MailboxStats in (Get-MailboxStatistics -Server $DAGServer.Name | Where {$_.DisconnectDate -eq $Null})) {
    $NewMBXStatsDTRow = $MailboxStatistics.NewRow()
    $NewMBXStatsDTRow.TotalitemSize = $MailboxStats.TotalItemSize
    $NewMBXStatsDTRow.ItemCount = $MailboxStats.ItemCount
    $NewMBXStatsDTRow.LastLogonTime = $MailboxStats.LastLogonTime
    $NewMBXStatsDTRow.LastLogoffTime = $MailboxStats.LastLogoffTime
    $NewMBXStatsDTRow.MailboxGUID = $MailboxStats.MailboxGuid.ToString()
    $MailboxStatistics.Rows.Add($NewMBXStatsDTRow)
    $StopWatch.Stop()
    $ElapsedTime = $StopWatch.Elapsed
    Write-Host "The script took" $ElapsedTime.Hours "hours," $ElapsedTime.Minutes "minutes, and" $ElapsedTime.Seconds `
    "seconds to run."
    Here are the results in speed:
    The script took 0 hours, 3 minutes, and 13 seconds to run.
    So yeah... ~3 minutes versus ~1 hour, I would say that's an improvement.
    Now I will go back to my script and as I process each mailbox I will pull it's statistics information out of the DataTable using its GUID with:
    If ($MailboxStats = $MailboxStatistics.Rows.Find($Mailbox.MailboxGUID)) {
    # Insert mailbox statistics processing here using the $MailboxStats variable with "." extensions.
    } Else {
    # Mailbox statistics weren't found so go grab them individually as a backup mechanism for scenarios when a user's mailbox got moved out of the DAG to a non-DAG database for whatever reason.
    It's a little silly that I have to extract the information out of each DAG server and put it in an in-memory table just to speed this process up, but clearly there is overhead with the Get-MailboxStatistics cmdlet and grabbing more mailboxes at once helps
    negate this issue.
    I'm going to mark my own response as an answer because I don't think anyone else is going to come up with something better than what I put together.

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