The Analyze of elasticsearch (analytical process)

_analyze is a very useful Elasticsearch API that can help you analyze how each field or a analyzer/tokenizer analyzes and indexes a text.
Returns the result field meaning: token is a word that is actually stored in the index position indicates the number of occurrences of the Start_offset and End_offset in the original text, where the word occupies the original text.
1, the default analyzer get/_analyze?
{"Analyzer": "Standard",   "text": "Bed before the Moon Light"} {  "tokens": [    {      "token": "Bed",       "Start_offset": 0,   &NB Sp   "End_offset": 1,       "type": "<IDEOGRAPHIC>",       "position": 0   &nbs P },     {      "token": "Pre",       "Start_offset": 1,       "end_of" Fset ": 2,      " type ":" <IDEOGRAPHIC> ",      " position ": 1    },   & nbsp {      "token": "Ming",       "Start_offset": 2,       "End_offset": 3,       "type": "<IDEOGRAPHIC>"       "position": 2    },     {  &NBsp   "token": "Month",       "Start_offset": 3,       "End_offset": 4,       "T Ype ": <IDEOGRAPHIC>"       "position": 3    },     {      Tok En ": Light"       "Start_offset": 4,       "End_offset": 5,       "type": "< Ideographic> ",      " position ": 4    }  } 2, you can also use the specified analyzer to analyze using Whitspace get/_anal
Yze?


{  "analyzer": "Whitespace",   "text": "Bright Moonlight Before Bed"} {  "tokens": [    {      "token": "Pre-bed",       "Start_offset": 0,   &N Bsp   "End_offset": 2,       "type": "word",       "position": 0    },   &N Bsp {      "token": "Moon Light",       "Start_offset": 3,       "End_offset": 6, &NBSP ;     "type": "word",       "PositioN ": 1    }  } 3, using IK Analyzer get/tystock/_analyze?
{  "Analyzer": "Ik_max_word",   "text": "Bright Moonlight Before Bed"}  {  "tokens": [    {      "token": "The bright Moonlight before the bed",       "Start_offset": 0,       "End_offset": 5,       "type": "Cn_word",       "position": 0    } ,     {      "token": "Bed before",       "Start_offset": 0,       "end_of" Fset ": 2      " type ":" Cn_word ",      " position ": 1    },     {&nbs P     "token": "Moon Light",       "Start_offset": 2,       "End_offset": 5,       "type": "Cn_word"       "position": 2    },     {      "token" : "Moon",       "Start_offset": 2,       "End_offset": 4,       "type": "Cn_wor D ",   &NBSP   "position": 3    },     {      "token": "Ming",       "START_OFFSE" T ": 2,      " End_offset ": 3,      " type ":" Cn_word ",      " position ": 4 &N Bsp   },     {      "token": "Moonlight",       "Start_offset": 3,       "End_offset": 5       "type": "Cn_word",       "position": 5    },   &NBSP ; {      "token": "Month",       "Start_offset": 3,       "End_offset": 4,       "type": "Cn_word",       "position": 6    },     {      "token": "Light"       "Start_offset": 4,       "End_offset": 5,       "type": "
Cn_char ",      " position ": 7    }  ] 4, using phonetic Analyzer Get/tystock/_analyze?
{  "analyzer": "Pinyin",  "text": "Bed before the Moon Light"} {  "tokens": [    {      "token": "Chuang",     &NBSP ; "Start_offset": 0,       "End_offset": 1,       "type": "word",       Positi On ": 0    },     {     " token ":" Cqmyg ",      " Start_offset ": 0, &NB Sp     "End_offset": 5,       "type": "word",       "position": 0    }, &N Bsp   {      "token": "Qian",       "Start_offset": 1,       "End_offset": 2,       "type": "word",       "position": 1    },     {       "token": "Ming",       "Start_offset": 2,       "End_offset": 3,      
"Type": "word"       "position": 2    },     {      "token": "Yue",       "Start_offset": 3,       "End_offset": 4,       "type": "word",       "Position": 3    },     {      "token": "Guang",       "Start_offset" : 4,       "End_offset": 5,       "type": "word",       "position": 4  
  }  ]}