You can now import zim files into YaCy by simply moving them
to the DATA/SURROGATE/IN folder. They will be fetched and after
parsing moved to DATA/SURROGATE/OUT.
There are exceptions where the parser is not able to identify the
original URL of the documents in the zim file. In that case the file
is simply ignored.
This commit also carries an important fix to the pdf parser and an
increase of the maximum parsing speed to 60000 PPM which should make it
possible to index up to 1000 files in one second.
This library was not prepared for large data because it was missing long
data types for pointers. I had to modify the code-base in a fundamental
way:
- Proof-Reading,
- unclustering,
- refactoring,
- naming adoption to https://wiki.openzim.org/wiki/ZIM_file_format,
- change of Exception handling,
- extension to more attributes as defined in spec (bugfix for mime type
loading)
- bugfix to long parsing (prevented reading of large files)
The code is furthermore very inefficient and requires more attention.
However the format is very useful for YaCy as there are numerous data
sources for ZIM-Files.
the raw format reader files with no integration in YaCy yet, which will
maybe follow as a next step. The zim file format is documented in
https://openzim.org and the reader code was taken from the archived,
non-maintained repository at https://github.com/openzim/zimreader-java
- fixes for bad equals() methods that had not been used by hash maps and therefore some classes did not work as objects in hash maps.
- this may also affect some cases where double-checks should have been, but did not work.
git-svn-id: https://svn.berlios.de/svnroot/repos/yacy/trunk@6495 6c8d7289-2bf4-0310-a012-ef5d649a1542
Michael Peter Christen