Hi all
My data looks like:
Document 1
code, title, content, type, language, date, ...
Document 2
code, title, content, type, language, date, ...
...
Document n
code, title, content, type, language, date, ...
Now all document types share the same fields, but in a future we
need to add more document types with specific fields. I allways sort
documents by date. I have 200.000 new documents each day and 130
million documents. The janaury index size is 4.2Gb (the data size is
about 10Gb).
I was wondering how to index the new document types.
Option 1: One index for each document type. Each index will have its
fields.
Problem: I will have to perfom a search for each index, and sort
results by date.
Option 2: One big index containing all fields. A field could be
empty if the field is not applicable for that document type.
Option 3: One big index containing all common fields, and adding and
extra field named metadata. Inside this field I will add all specific
fields (field1:value1 field2:value2).
Comments, pros and contras will be appreciated. I don't know exactly
the diference between option 2 and option 3.
Thanks
Albert
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