Comments (1)
MarioAriasGa
commented on May 9, 2024
There are two methods for loading HDTs; load (Creates Java arrays and copies the raw HDT), and map (Uses mmap from the OS underneath). Bitmaps are critical so they are always kept in memory, the rest of the data structures are just mapped and the operating system will load and keep in memory blocks (typically 4k bytes) using OS-specific policies. The more you use the HDT, the more memory you have, and the less other processess need the memory, the more data will be in RAM and faster will queries be.
If you can choose, the fastest would be having more RAM, falling back to SSD for huge datasets.
from hdt-java.
Related Issues (20)
- Can we make HDTCat work under windows? HOT 2
- Problem in hdtCat when compressing on small machine or many literals HOT 1
- Filter doesn't appear to be working with Jena interface HOT 4
- OPS indexing HOT 3
- Dependency org.apache.commons:commons-compress, leading to CVE problem HOT 1
- Increment HDT and index version to 3.0.0 HOT 6
- Release version 2.2 HOT 2
- Setup Github Action for Maven release HOT 18
- IllegalFormatException or IllegalArgumentException while reading RDF with B-Nodes in two-pass mode
- the ByteStringUtil.longestCommonPrefix(...) method isn't working between non ascii String and internal CharSequence
- Support query of multiple HDT files from CLI HOT 3
- Can't use Big version of the sequence HOT 1
- Fuseki integration seems broken since 3.0.0 HOT 4
- Byte strings aren't able to compare UTF32 strings
- Unsafe memory access HOT 2
- System.out.println() output HOT 5
- Question about Bitmap Triples Iterator ZFOQ implementation HOT 5
- Required array length 2147483639 + 11 is too large HOT 4
- Filtering issue HOT 3
- Problem loading wikidata: java.lang.OutOfMemoryError: Requested array size exceeds VM limit HOT 6
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