close #289

blog/documents.py

@@ -13,13 +13,12 @@
 from elasticsearch_dsl.connections import connections
 import time
 from blog.models import Article, Category, Tag
-from elasticsearch_dsl import Document, Date, Integer, Keyword, Text, Object, Boolean
+from elasticsearch_dsl import Document, Date, Integer, Long, Keyword, Text, Object, Boolean
 
 from django.conf import settings
 
 ELASTICSEARCH_ENABLED = hasattr(settings, 'ELASTICSEARCH_DSL')
 
-
 if ELASTICSEARCH_ENABLED:
     connections.create_connection(
         hosts=[settings.ELASTICSEARCH_DSL['default']['hosts']])
@@ -27,7 +26,7 @@ if ELASTICSEARCH_ENABLED:
 
 class ElapsedTimeDocument(Document):
     url = Text()
-    time_taken = Integer()
+    time_taken = Long()
     log_datetime = Date()
     type = Text(analyzer='ik_max_word')
     useragent = Text()
@@ -101,8 +100,7 @@ class ArticleDocument(Document):
 class ArticleDocumentManager():
 
     def __init__(self):
-        pass
-        # ArticleDocument.init()
+        self.create_index()
 
     def create_index(self):
         ArticleDocument.init()

docs/es.md

@@ -0,0 +1,28 @@
+# 集成Elasticsearch
+如果你已经有了`Elasticsearch`环境，那么可以将搜索从`Whoosh`换成`Elasticsearch`，集成方式也很简单，
+首先需要注意如下几点:
+1. 你的`Elasticsearch`支持`ik`中文分词
+2. 你的`Elasticsearch`版本>=7.3.0
+
+接下来在`settings.py`做如下改动即可：
+- 增加es链接，如下所示：
+```python
+ELASTICSEARCH_DSL = {
+    'default': {
+        'hosts': '127.0.0.1:9200'
+    },
+}
+```
+- 修改`HAYSTACK`配置：
+```python
+HAYSTACK_CONNECTIONS = {
+    'default': {
+        'ENGINE': 'DjangoBlog.elasticsearch_backend.ElasticSearchEngine',
+    },
+}
+```
+然后终端执行:
+```shell script
+./manage.py build_index
+```
+这将会在你的es中创建两个索引，分别是`blog`和`performance`，其中`blog`索引就是搜索所使用的，而`performance`会记录每个请求的响应时间，以供将来优化使用。