Why does my iPhoto Library say 32gb when there's only one photo in it?

I am trying to figure out why my MacBook Air is running out of space, and am finding out that Photostream isn't photos in the cloud, it's photos in the cloud that it stores on my different computers hard drives or storage. So, I turned off Photostream, and deleted the pics as Disk Inventory X is telling me that my iPhoto Library is taking up 32.7gb of storage, despite there only being one picture in there that is no special picture. I deleted all the rest. There is ONE picture in the whole iPhoto Library, I deleted all the rest! What is taking up 32gb of my HD???

Have you rebooted since the deletions. That will empty a number of caches and may restore the freed up space. Also open the iPhoto Library package with the Finder as shown in this screenshot
locate the iPod Photo Cache folder and delete its contents. Make no other changes to the contents of the iPHoto LIbrary Package.
OT

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Hi,,
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no idea
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You can use the DB_SET flag which will look for an exact key match. If
you use it with the DB_MULTIPLE_KEY flag, it will return multiple keys
after the point it gets a match. If you can post here how all your
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records tagged by timestamp. The most common query is to get the
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I'm leveraging duplicate keys to implement a nested mapping:
{oid -> {timestamp -> data}}
I'm using a hash access method for mapping object ids to a collection
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implemented as duplicate records for the oid key, where each record is
an 8-byte inverse timestamp concatenated with the data. The inverse
timestamps are constructed in such a way that they sort
lexicographically in inverse chronological order. So there are
basically 3 kinds of query:
A. Get the most recent data for an object id.
B. Get the data for an object id and timestamp.
C. Get the most recent data for an object id who's timestamp is before
a given timestamp.
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a given inverse time stamp". Of course, after such a range search,
I'd have to check whether the inverse time stamp matches.
For query C, I really want to do a range search on the inverse time
stamp prefixes. This cannot be modelled as a like query.
I could model this instead as {oid+timestamp -> data}, but then I'd
have to use the btree access method, and I don't expect that to scale
as I'll have hundreds of millions of objects.
We tried using BDB as a back end for our database (ZODB) several years
ago and it didn't scale well. I think there were 2 reasons for
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databases. Second, we used too many tables. This time, I'm hoping that
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scalability. We'll see. :)
If you want to start
on a key partial match you should use the DB_SET_RANGE flag instead of
the DB_SET flag.I don't want to do a key partial match.
Indeed, with DB_GET_BOTH_RANGE you can do partial
matches in the duplicate data set and this should be used only if you
look for duplicate data sets.I can't know ahead of time whether there will be duplicates for an
object. So, that means I have to potentially do the query 2 ways,
which is quite inconvenient.
As you saw, the flags you can use with cursor.get are described in
detailed here.But it wasn't at all clear from the documentation that
DB_GET_BOTH_RANGE wouldn't work unless there were duplicates. As I
mentioned earlier, I think if this was documented more clearly and
especially of there was an example of how one would work around the
behavior, someone would figure out that behavior wasn't very useful.
What you should know is that the usual piece of
information after which the flags are accessing the records, is the
key. What I advice you is to look over Secondary indexes and Foreign
key indexes, as you may need them in implementing your queries.I don't see how secondary indexes help in this situation.
BDB is
used as the storage engine underneath RDBMS. In fact, BDB was the
first "generic data storage library" implemented underneath MySQL. As
such, BDB has API calls and access methods that can support any RDBMS
query. However, since BDB is just a storage engine, your application
has to provide the code that accesses the data store with an
appropriate sequence of steps that will implement the behavior that
you want.Yup.
Sometimes you may find it unsatisfying, but it may be more
efficient than you think.Sure, I just think the notion that DB_GET_BOTH_RANGE should fail if
the number of records for a key is 1 is rather silly. It's hard for me
to imagine that it would be less efficient to handle the non duplicate
case. It is certainly less efficient to handle this at the application
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queries. Hopefully, BDB's cache will mitigate this.
Thanks again for digging into this.
Jim

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