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| 1 | +# -*- coding: utf-8 -*- |
| 2 | +# @Time : 2020/7/30 15:04 |
| 3 | +# @Author : xiaolu |
| 4 | +# @FileName: 001-创建库并插入数据.py |
| 5 | +# @Software: PyCharm |
| 6 | +from elasticsearch import Elasticsearch |
| 7 | + |
| 8 | + |
| 9 | +es = Elasticsearch() |
| 10 | + |
| 11 | +# result = es.indices.delete(index='point_type', ignore=[400, 404]) # 删除索引(库) |
| 12 | +# exit() |
| 13 | + |
| 14 | + |
| 15 | +mapping = { |
| 16 | + "settings": { |
| 17 | + "analysis": { |
| 18 | + "filter": { |
| 19 | + "jieba_stop": { |
| 20 | + "type": "stop", |
| 21 | + "stopwords_path": "stopwords/stopwords.txt" |
| 22 | + }, |
| 23 | + "jieba_synonym": { |
| 24 | + "type": "synonym", |
| 25 | + "synonyms_path": "synonyms/synonyms.txt" |
| 26 | + }, |
| 27 | + "my_shingle_filter": { |
| 28 | + "type": "shingle", |
| 29 | + "min_shingle_size": 2, |
| 30 | + "max_shingle_size": 2, |
| 31 | + "output_unigrams": False |
| 32 | + } |
| 33 | + }, |
| 34 | + "analyzer": { |
| 35 | + "word_ans": { |
| 36 | + "tokenizer": "jieba_search", # 采用结巴分词 |
| 37 | + "filter": "jieba_stop" # 采用结巴停用词过滤 |
| 38 | + }, |
| 39 | + "char_ana": { |
| 40 | + "tokenizer": "standard", # 对于字符 采用标准的分词方式 就是按字分割 |
| 41 | + "filter": "jieba_stop" # 也采用jieba停用词过滤 |
| 42 | + }, |
| 43 | + "char_bigram_ana": { |
| 44 | + "type": "custom", |
| 45 | + "tokenizer": "standard", |
| 46 | + "filter": [ |
| 47 | + "jieba_stop", |
| 48 | + "my_shingle_filter" |
| 49 | + ] |
| 50 | + }, |
| 51 | + "word_bigram_ana": { |
| 52 | + "type": "custom", |
| 53 | + "tokenizer": "jieba_search", |
| 54 | + "filter": [ |
| 55 | + "jieba_stop", |
| 56 | + "my_shingle_filter" |
| 57 | + ] |
| 58 | + } |
| 59 | + } |
| 60 | + } |
| 61 | + }, |
| 62 | + "mappings": { |
| 63 | + "properties": { |
| 64 | + "title": { |
| 65 | + "type": "keyword" |
| 66 | + }, |
| 67 | + "author": { |
| 68 | + "type": "keyword" |
| 69 | + }, |
| 70 | + "dynasty": { |
| 71 | + "type": "keyword" |
| 72 | + }, |
| 73 | + "words": { |
| 74 | + "type": "integer" |
| 75 | + }, |
| 76 | + "content": { |
| 77 | + "analyzer": "word_ana", |
| 78 | + "search_analyzer": "word_ana", |
| 79 | + "type": "text" |
| 80 | + } |
| 81 | + } |
| 82 | + } |
| 83 | +} |
| 84 | +# 相当于将content入库时,会进行分词,然后采用jieba的停用词过滤方式。 当通过内容去查找时,也是先将问题分词,然后停用词过滤,在进行匹配。 |
| 85 | + |
| 86 | +# es.indices.create(index='point_type', body=mapping) |
| 87 | + |
| 88 | +# 然后插入数据 |
| 89 | +data = [ |
| 90 | + { |
| 91 | + "title": "静夜思", |
| 92 | + "author": "李白", |
| 93 | + "dynasty": "唐", |
| 94 | + "words": "20", |
| 95 | + "content": "床前明月光,疑是地上霜。举头望明月,低头思故乡。" |
| 96 | + }, |
| 97 | + |
| 98 | + { |
| 99 | + "title": "观沧海", |
| 100 | + "author": "曹操", |
| 101 | + "dynasty": "东汉末年", |
| 102 | + "words": "56", |
| 103 | + "content": "东临碣石,以观沧海。水何澹澹,山岛竦峙。树木丛生,百草丰茂。秋风萧瑟,洪波涌起。日月之行,若出其中。星汉灿烂,若出其里。幸甚至哉,歌以咏志。" |
| 104 | + }, |
| 105 | + |
| 106 | + { |
| 107 | + "title": "咏鹅", |
| 108 | + "author": "骆宾王", |
| 109 | + "dynasty": "唐", |
| 110 | + "words": "18", |
| 111 | + "content": "鹅鹅鹅,曲项向天歌。白毛浮绿水,红掌拨清波。" |
| 112 | + }, |
| 113 | + |
| 114 | + { |
| 115 | + "title": "将进酒", |
| 116 | + "author": "陈陶", |
| 117 | + "dynasty": "唐", |
| 118 | + "words": "14", |
| 119 | + "content": "银鸭金鹅言待谁,隋家岳渎皇家有" |
| 120 | + }, |
| 121 | + |
| 122 | + { |
| 123 | + "title": "春雪", |
| 124 | + "author": "白居易", |
| 125 | + "dynasty": "唐", |
| 126 | + "words": "10", |
| 127 | + "content": "大似落鹅毛,密如飘玉屑" |
| 128 | + } |
| 129 | +] |
| 130 | +for d in data: |
| 131 | + es.index(index='point_type', body=d) |
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