前提：索引和搜索都會加Factory
1. 如果是StandardTokenizerFactory 那么查詢時，synonyms.txt只能配置單個詞或者類似 植物 》 動物 但不能 ” 英雄 》植物“ 因為StandardTokenizerFactory 中文，默認就是字字分開，直接控制匹配度就行，要詞分的話就用ik。
2. 當然對於WhitespaceTokenizerFactory ，那么” 英雄 》植物“ 是完全沒有問題的（分詞應該也沒有問題哈）！！
3. 對於stopwords.txt 例如里面加一個“一”，那么搜索時都會將它忽略！！
4. 詳解：
# blank lines and lines starting with pound are comments. #Explicit mappings match any token sequence on the LHS of "=>" #and replace with all alternatives on the RHS. These types of mappings #ignore the expand parameter in the schema. #Examples: #----------------------------------------------------------------------- #some test synonym mappings unlikely to appear in real input text aaafoo => aaabar bbbfoo => bbbfoo bbbbar cccfoo => cccbar cccbaz fooaaa,baraaa,bazaaa # Some synonym groups specific to this example GB,gib,gigabyte,gigabytes MB,mib,megabyte,megabytes Television, Televisions, TV, TVs #notice we use "gib" instead of "GiB" so any WordDelimiterFilter coming #after us won't split it into two words. 飛利浦刮胡刀,飛利浦剃須刀 # Synonym mappings can be used for spelling correction too pixima => pixma a\,a => b\,b