Difference between multivalued field and tokenized field
For example I have several tags per document. I can 

 - index them as single text string spliting by space uisng WhiteSpaceTokenizer. (example "tag1 tag2 tag3")
 - add them separatly to single field name multiple times using KeywordAnalyzer (
example `
doc.addField("tags1", "tag1"); 
doc.addField("tags", "tag2");
doc.addField("tags", "tag23)`
)

Both approaches will work. The question is how different will be scoring for those types of indexing? (i.e. field normalization factor, tf/idf count, field length calucaltion, slope factor etc)
 
Difference between multivalued field and tokenized field
===

For example I have several tags per document. I can 

 - index them as single text string spliting by space uisng WhiteSpaceTokenizer. (example "tag1 tag2 tag3")
 - add them separatly to single field name multiple times using KeywordAnalyzer (
example `
doc.addField("tags1", "tag1"); 
doc.addField("tags", "tag2");
doc.addField("tags", "tag23)`
)

Both approaches will work. The question is how different will be scoring for those types of indexing? (i.e. field normalization factor, tf/idf count, field length calucaltion, slope factor etc)
 