Duplicate calendar items

all of a sudden (probably after this latest release), i am getting duplicate calendar items in my iphone on certain events. from what i can tell, if i create an event in ical and sync the iphone, the event is put on the phone correctly. if i then edit the event in ical and re-sync, it puts a duplicate event with the new information on the iphone, instead of just updating the event. it's highly annoying and i don't remember it ever being like this. anyone know how to fix this??

I had this problem months ago on my iPod Touch (roughly when this dormant thread was started, before the 2.0 update, I think). With that update, it went away, but has recently resurfaced, perhaps with the 2.1 update or perhaps since then. I didn't notice the resurfacing of the problem until this morning, but that doesn't necessarily mean anything.
The symptoms: When I create a calendar event in iCal, it syncs properly to my iPod. When I create a calendar event on the iPod, it does not sync to iCal. When I modify or delete an iCal-created event on my iPod, the event is not modified in iCal, and the original event is copied from iCal to the iPod, so I wind up with duplicate events (or the deleted event reappears).
This morning, I overwrote all calendar data on my iPod, to no avail. When I first had the problem months ago, I reset the sync history and then reset the whole iPod, also to no avail; I haven't tried those more drastic steps recently.
Is anyone else still/again having similar problems? Any solutions besides telling Apple and waiting for a fix?

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    Edited version (it won't let me edit)
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    I have a btree consisting of keys (a 4 byte integer) - and data (a 8 byte integer).
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    What's the expert opinion on this subject?
    Vincent
    Message was edited by:
    user552628

    Hi,
    The special thing about it is that with a given key,
    there can be a LOT of associated data, thousands to
    tens of thousands. To illustrate, a btree with a 8192
    byte page size has 3 levels, 0 overflow pages and
    35208 duplicate pages!
    In other words, my keys have a large "fan-out". Note
    that I wrote "can", since some keys only have a few
    dozen or so associated data items.
    So I configure the b-tree for DB_DUPSORT. The default
    lexical ordering with set_dup_compare is OK, so I
    don't touch that. I'm getting the data items sorted
    as a bonus, but I don't need that in my application.
    However, I'm seeing very poor "put (DB_NODUPDATA)
    performance", due to a lot of disk read operations.In general, the performance would slowly decreases when there are a lot of duplicates associated with a key. For the Btree access method lookups and inserts have a O(log n) complexity (which implies that the search time is dependent on the number of keys stored in the underlying db tree). When doing put's with DB_NODUPDATA leaf pages have to be searched in order to determine whether the data is not a duplicate. Thus, giving the fact that for each given key (in most of the cases) there is a large number of data items associated (up to thousands, tens of thousands) an impressive amount of pages have to be brought into the cache to check against the duplicate criteria.
    Of course, the problem of sizing the cache and databases's pages arises here. Your size setting for these measures should tend to large values, this way the cache would be fit to accommodate large pages (in which hundreds of records should be hosted).
    Setting the cache and the page size to their ideal values is a process of experimenting.
    http://www.oracle.com/technology/documentation/berkeley-db/db/ref/am_conf/pagesize.html
    http://www.oracle.com/technology/documentation/berkeley-db/db/ref/am_conf/cachesize.html
    While there may be a lot of reasons for this anomaly,
    I suspect BDB spends a lot of time tracking down
    duplicate data items.
    I wonder if in my case it would be more efficient to
    have a b-tree with as key the combined (4 byte
    integer, 8 byte integer) and a zero-length or
    1-length dummy data (in case zero-length is not an
    option). Indeed, these should be the best alternative, but testing must be done first. Try this approach and provide us with feedback.
    You can have records with a zero-length data portion.
    Also, you could provide more information on whether or not you're using an environment, if so, how did you configure it etc. Have you thought of using multiple threads to load the data ?
    Another possibility would be to just add all the
    data integers as a single big giant data blob item
    associated with a single (unique) key. But maybe this
    is just doing what BDB does... and would probably
    exchange "duplicate pages" for "overflow pages"This is a terrible approach since bringing an overflow page into the cache is more time consuming than bringing a regular page, and thus performance penalty results. Also, processing the entire collection of keys and data implies more work from a programming point of view.
    Or, the slowdown is a BTREE thing and I could use a
    hash table instead. In fact, what I don't know is how
    duplicate pages influence insertion speed. But the
    BDB source code indicates that in contrast to BTREE
    the duplicate search in a hash table is LINEAR (!!!)
    which is a no-no (from hash_dup.c):The Hash access method has, as you observed, a linear search (and thus a search time and lookup time proportional to the number of items in the buckets, O(1)). Combined with the fact that you don't want duplicate data than hash using the hash access method may not improve performance.
    This is a performance/tunning problem and it involves a lot of resources from our part to investigate. If you have a support contract with Oracle, then please don't hesitate to put up your issue on Metalink or indicate that you want this issue to be taken in private, and we will create an SR for you.
    Regards,
    Andrei

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