Prevent Search version history returning checked out results

Hello all,
I'm working on a Java application that uses the Content DB API.
As part of the application, the user can search for documents, including searching old versions of documents. To do this I have used the SEARCH_VERSION_HISTORY option on SearchManager.
For each result I compare its ID with all the versions of that document, and with the latest version of the document. However, sometimes I am getting a result returned for a document that is neither the latest version nor any previous version.
This appears to happen when a document is checked out. For example, say I have a document a.txt, which displays two versions if I display version history in the standard Content DB interface. I then check out this document. When I search for this I will get:
a.txt (Version 1)
a.txt (Version 2)
a.txt (Checked out version, which isn't returned in the list of versions for that document ID, doesn't have a version number and is not listed as the latest version)
This is inconsistent with what is displayed through the standard Content DB interface.
How can I detect the checked out results so that I can remove them from my search results? Any help would be greatly appreciated,
Thanks,
Alex.

Hi,
You're not doing anything wrong. It's just that the results are skewed due to the large number of on page duplicates for the target key. You'll see that if you play a little with the page size, set a DbBtreeCompare and a DbDupCompare, write a variable length data portion, you'll probably get different results each time you inspect the key range statistics. This a consequence of the way keys are distributed on pages and the structure of the btree (you can look over the "__bam_key_range" method in "btree/bt_stat.c"). Note that the values you get are estimates, and are strongly influenced by the factors mentioned.
If you want to get the real values you'll have to iterate the entire database using a cursor and call the "count" method on each key to determine the number of data items associated with that key. This way, you can determine also the number of key/data pairs in the database by adding the duplicates of each key.
Regards,
Andrei

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