HELP! Powerbook G4 running extremely slowly!

Hi all,
First off, some stats about the computer:
Powerbook G4 15", 1.33 GHz, 256 Mb DDR SDRAM, running on OSX 10.3.9 (Panther--yes, I got it a few years ago!) and with 3.5 Gb left of my 60 Gb hardrive.
Now the symptoms:
I notice that my computer takes extremely long to start up. Additionally, I can barely run two applications concurrently without getting a busy cursor, a frozen computer, or worse, the black screen of death ("You must restart your computer"). Any seemingly simple task(s), especially uploading music files, watching videos on the internet, downloading podcasts, take forever to load. It also tends to warm up quickly and make whirring noises.
Any solutions on how to fix it? I'm definitely open to buying/installing hardware (I've already replaced the bottom case myself) since I don't have the money to just get a new computer. Do I need more memory? Should I just get a bigger hard drive? Is there something else I need to do?

Hi,
There are thousands of websites, dealers and brands of external hard drives to choose from. LaCie by NEC have a long standing affiliation with Macs, although, there are many more. The same goes for RAM, however, your choice of RAM is critical. Ive always suggested going with the original Samsung RAM, but other quality brands include Crucial and Kensington. I've attached a link to one site (Small Dog Electronics) to give you an idea of what you are looking at.
http://www.smalldog.com/category/x/x/x/Storageand_Backup|External_Hard_Drives|ByConnection|FireWire
Onyx - I'd suggest running Onyx now, before you do anything else. Run 'Automation'. I usually de-select the font cache cos I have many fonts installed and clearing the font cache causes me to have to run Font Fusion to re-activate all my fonts again, which is a time consuming pain in the bart.

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    Occasionally, this simple query runs over 20 minutes (I don't think we've ever seen it run to completion on these occurrences, and I've certainly seen it take over 3 hours before we killed it, for a run where it would normally complete in 2 or 3 minutes), which we've now come to recognise as it "being stuck". The execution path it takes is the same as when it runs normally, there are no unusual wait events, and no unusual wait times. All in all, it looks "normal" except for the fact that it's taking forever (tongue-in-cheek!) to run. When we kill and rerun, the execution time returns to normal. (We've sent system state dumps to Oracle to be analyzed, and they came back with "The database is doing stuff, can't see anything wrong")
    We've never been able to come up with any explanation before, but the same run has failed consistently for the last three days, so I managed to wangle a DBA to help me investigate it further.
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    I understand from this link: http://asktom.oracle.com/pls/asktom/f?p=100:11:0::::P11_QUESTION_ID:44798632736844 about how Selects may generate REDO, but I don't see why UNDO would possibly be generated by a select. Does anyone know of a situation where a select would end up looking through UNDO, even though no inserts/updates/deletes had taken place on the table/index it was looking at?
    Also, does the theory that having to look through the UNDO (currently UNDO ts is 50000MB, in case that's relevant) causing queries to take an extremely long time hold water? We're on 10.2.0.3
    Message was edited by:
    Boneist
    Ok, having carried on searching t'internet, I can see that it's maybe Delayed Block Cleanout that's causing the UNDO to be referenced. Even taking that into account, I can't see why going back to the UNDO to be told to commit the change to disk could slow the query down that much? What waits would this show up as, if any?

    Since you're on 10.2 and I understand that you use
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    be returned. So if the old statistics do not fit the
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    do you encounter parse issues?Yes, that query runs as part of a procedure and uses bind variables (well, pl/sql variables!). We are aware that because of the histograms that get produced, the stats are not as good as we'd like. I'm wondering if analyzing the partition would be the best way to go, only that means analysing the entire partition, not just the subpartition, I guess? But if other inserts are taking place at the same time, having several analyzes taking place won't help the speed of inserting, or won't it matter?
    Do you have the "default" 10g statistics gathering
    job active? This could also explain why you get
    different execution plans at different execution
    times. If the job determines that the statistics of
    some of your partitions are stale then it will
    attempt to gather statistics even if you already have
    statistics imported/generated.No, we turned that off. The stats do not change when we rerun the query - we guess there is some sort of contention taking place, possibly when reading from the UNDO, although I would expect that to show up in the waits - it doesn't appear to though.
    Data loads can load anything from 200 rows to
    20million rows into the table, with most of therows
    ending up in the Default subpartition. Most of the
    runs that load a larger set of rows have been setup
    to add into one of the other 4 subpartitions.
    I'm not sure about above description. Do most of the
    rows end up in the default subpartition (most rows in
    default partition) or do the larger sets load into
    the other 4 ones... (most rows in the non-default
    partitions)?Sorry, I mean that the loads that load say 20million + rows at a time have a specified subpartition to go into (defined via some config. We had to make up a "partition key" in order to do this as there is nothing in the data that lends itself to the subpartition list, unfortunately - the process determines which subpartition to load to/extract from via a config table), but this applies to not many of the runs. So, the majority of the runs (with fewer rows) go into the default partition.
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    Time     IO Cost     CPU Cost     Cardinality     Bytes     Cost     Plan
                             6     SELECT STATEMENT  ALL_ROWS                    
    4 1     4 4     4 82,406     4 1     4 20     4 6          4 HASH UNIQUE                 
    3 1     3 4     3 28,686     3 1     3 20     3 5               3 PARTITION RANGE SINGLE  Partition #: 2            
    2 1     2 4     2 28,686     2 1     2 20     2 5                    2 PARTITION LIST SINGLE  Partition #: 3       
    1 1     1 4     1 28,686     1 1     1 20     1 5                         1 INDEX RANGE SCAN INDEX TAB_A_IDX Access Predicates: "RUN_ID"=:B3 AND "COB_DATE"=:B2 AND "PARTITION_KEY"=:B1  Partition #: 3 
    How do you perform your INSERTs? Are overlapping
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    Direct-path inserts as far I know create "clean"
    blocks that do not need a delayed block cleanout.We insert using a select from an external table - there's a parallel hint in there, but I think that is often ignored (at least, I've never seen any hint of sessions running in parallel when looking at the session browser, and I've seen it happen in one of our dev databases, so...). As mentioned above, rows could get inserted into different partitions, although the majority of runs load into the default subpartition. In practise, I don't think more than 3 or 4 loads take place at the same time.
    If you loading and querying different partitions then
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    You should check at least two important things:
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    normal executions?
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    generated) for the normal and slow ones in order to
    see and compare the amount of work that they
    generate, and to find out how much redo your query
    potentially generated due to delayed block cleanout.It's difficult to do a direct comparison that's exact, due to other work going on in the database, and the abnormal query taking far longer than normal, but here is the ASH comparison between a normal run (1st) and our abnormal run (2nd) (both taken over 90 mins, and the first run may well include other runs that use the same query in the results):
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                  Time                / Exec             (DB Time)    / Exec                                 / Exec
    SQL Id        1st  2nd   Diff    1st     2nd         1st  2nd    1st    2nd      1st       2nd          1st  2nd         Multiple Plans   SQL Text
    gpgaxqgnssnvt 3.54 15.76 12.23   223,751 1,720,297   0.00 0.00   11,127 49,095   42,333.00 176,565.00   2.67 4.00        No               SELECT DISTINCT VALUE_CURRENCY...

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    One thing to realize is that the "Webprocess" consuming mass qualities of CPU will come and go depending on the pages you are browsing. It shouldn't do that high CPU constantly only periodically. Some simple pages will take very little, very complex pages with lots of images and flash and ads and other misc stuff can make the CPU usage soar. But that's hard/impossible to predict, so just keep an eye on it and you'll get a feel for pages you might want to avoid and pages that are no big deal to process.
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