前提：索引和搜索都会加Factory
1. 如果是StandardTokenizerFactory 那么查询时，synonyms.txt只能配置单个词或者类似 植物 》 动物 但不能 ” 英雄 》植物“ 因为StandardTokenizerFactory 中文，默认就是字字分开，直接控制匹配度就行，要词分的话就用ik。
2. 当然对于WhitespaceTokenizerFactory ，那么” 英雄 》植物“ 是完全没有问题的（分词应该也没有问题哈）！！
3. 对于stopwords.txt 例如里面加一个“一”，那么搜索时都会将它忽略！！
4. 详解：
# 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. 飞利浦刮胡刀,飞利浦剃须刀 # Synonym mappings can be used for spelling correction too pixima => pixma a\,a => b\,b