#  拉取镜像到本地仓库

#  docker image pull delron/elasticsearch-ik:2.4.6-1.0

由于pull拉取会比较慢, 可以将百度网盘中的elasticsearch-ik-2.4.6_docker.tar文件传到虚拟机中

然后导入镜像:

docker load -i elasticsearch-ik-2.4.6_docker.tar

# 查看本地仓库是否有这个镜像

docker images

或docker image ls

# 在xshell中使用rz命令将elasticsearch.zip文件传到虚拟机的家目录中

＃然后在家目录中解压

unzip elasticsearch.zip

cd ~/elasticsearch/config

# network.host: 172.18.168.123

network.host: 0.0.0.0

#

# Set a custom port for HTTP:

#

http.port: 8002

# 根据拉取到本地的镜像创建容器，需要将/home/bd/elasticsearch/config配置文件所在目录修改为你自己的路径

docker run -dti --network=host --name=elasticsearch -v /home/pyvip/elasticsearch/config:/usr/share/elasticsearch/config delron/elasticsearch-ik:2.4.6-1.0

# 查看是否创建成功

docker container ls -a

# 如果STATUS为Up则创建容器成功

CONTAINER ID        IMAGE                               COMMAND                  CREATED             STATUS              PORTS               NAMES

b254fe1ee0eb        delron/elasticsearch-ik:2.4.6-1.0   "/docker-entrypoint.…"   3 days ago          Up 3 days                               elasticsearch

# 运行如下命令，如果有显示则elasticsearch配置成功

curl 127.0.0.1:8002

# 进入项目虚拟环境

workon myblog_env

pip install django-haystack

pip install elasticsearch==2.4.1

INSTALLED_APPS = [

    'haystack',

]

ELASTICSEARCH_DSL = {

    'default': {

        'hosts': '127.0.0.1:8002'

    },

}

# Haystack

HAYSTACK_CONNECTIONS = {

    'default': {

        'ENGINE': 'haystack.backends.elasticsearch_backend.ElasticsearchSearchEngine',

        'URL': 'http://127.0.0.1:8002/',  # 此处为elasticsearch运行的服务器ip地址，端口号默认为9200

        'INDEX_NAME': 'dj_pre_class',  # 指定elasticsearch建立的索引库的名称

    },

}

# 设置每页显示的数据量

HAYSTACK_SEARCH_RESULTS_PER_PAGE = 5

# 当数据库改变时，会自动更新索引

HAYSTACK_SIGNAL_PROCESSOR = 'haystack.signals.RealtimeSignalProcessor'

# 在apps/news/search_indexes.py中创建如下类：（名称固定为search_indexes.py）

from haystack import indexes

# from haystack import site

from .models import News

class NewsIndex(indexes.SearchIndex, indexes.Indexable):

    """

    News索引数据模型类

    """

    text = indexes.CharField(document=True, use_template=True)

    id = indexes.IntegerField(model_attr='id')

    title = indexes.CharField(model_attr='title')

    digest = indexes.CharField(model_attr='digest')

    content = indexes.CharField(model_attr='content')

    image_url = indexes.CharField(model_attr='image_url')

    # comments = indexes.IntegerField(model_attr='comments')

    def get_model(self):

        """返回建立索引的模型类

        """

        return News

    def index_queryset(self, using=None):

        """返回要建立索引的数据查询集

        """

        return self.get_model().objects.filter(is_delete=False, tag_id=1)

from haystack.views import SearchView as _SearchView

class SearchView(_SearchView):

    # 模版文件

    template = 'news/search.html'

    # 重写响应方式，如果请求参数q为空，返回模型News的热门新闻数据，否则根据参数q搜索相关数据

    def create_response(self):

        kw = self.request.GET.get('q', '')

        if not kw:

            show_all = True

            hot_news = models.HotNews.objects.select_related('news'). \

                only('news__title', 'news__image_url', 'news__id'). \

                filter(is_delete=False).order_by('priority', '-news__clicks')

            paginator = Paginator(hot_news, settings.HAYSTACK_SEARCH_RESULTS_PER_PAGE)

            try:

                page = paginator.page(int(self.request.GET.get('page', 1)))

            except PageNotAnInteger:

                # 如果参数page的数据类型不是整型，则返回第一页数据

                page = paginator.page(1)

            except EmptyPage:

                # 用户访问的页数大于实际页数，则返回最后一页的数据

                page = paginator.page(paginator.num_pages)

            return render(self.request, self.template, locals())

        else:

            show_all = False

            qs = super(SearchView, self).create_response()

            return qs

# 创建templates/search/indexes/news/news_text.txt文件（文件名为：应用名_text.txt）

{{ object.title }}
{{ object.digest }}
{{ object.content }}

# 在虚拟机中执行如下命令，生成索引

python manage.py rebuild_index