Comments (3)
Ok. It seems, common implementation issues. Dbm2 have same space occupation and perfomance.
On my data TreeMap a bit better on write in dbm3. But read in dbm2 still faster on 20-30%
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Hi,
in short TreeMap has more advanced implementation in JDBM. For example it uses delta key compression which could explain smaller size.
Secondly I changed lot of parameters (page size, node size) and I did not do 'calibration' yet. So hash tree may be slower bcos its sizes are wrongly set.
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BTree is much faster with linear inserts. HTree is faster with random access. So work as designed.
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Related Issues (20)
- Not Serializable Exception HOT 1
- Corruption of index files (double get and IndexOutOfBounds errors) HOT 8
- Found setting where I lose part of a List value 'silently' HOT 1
- DB.defrag(false) ALWAYS increases the size of i.0 file HOT 1
- java.lang.OutOfMemoryError: Map failed HOT 3
- I'm confused about the record, slot, page, physical and logical list. Is there any document?
- Not working with JDK11
- BTree.java is a b plus tree or b tree?
- is someway to repair corrupt data file ? HOT 1
- JDBM and Scala HOT 5
- TreeMap#size() returns wrong values after rollback
- DBMaker#openFile should take a "File" as argument HOT 1
- Support serializing/deserializing Hadoop keys and values HOT 1
- java.lang.OutOfMemoryError: Map failed HOT 2
- NPE on Array deserialization
- floorEntry on BTreeMap behaves incorrectly on border cases
- Null retrieval of inserted keys HOT 1
- Unable to add an element to the beginning of a list HOT 1
- Does not work with JodaTime
- deserialization of HashSet fails HOT 2
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