稳定的Django-Haystack +弹性搜索设置

问题描述

我想知道Django-Haystack + elasticsearch + pyelasticsearch / elasticsearch-py的最佳组合是什么。我在Ubuntu 12.04机器上部署了使用干草堆2.1.1-dev + elasticsearch 1.1.1 + elasticsearch-py 1.0的设置。我尝试使用Haystack 2.1.0（最新的稳定版本）与弹性搜索1.1.1和pyelasticsearch 0.6.1，但它不断给我一个错误，说Django-Haystack取决于pyelasticsearch;所以我切换到2.1.1-dev的，这美丽的工作。

但现在我想部署一个Django应用程序到一个CentOS 6.5的机器的一个实例（草垛2.1 .1开发+ elasticsearch 1.1.1 + elasticsearch-PY 1.0），和我得到同样的pyelasticsearch相关性错误。

这是谁的人有任何提示或提示。部署至CentOS将不胜感激

解决方案

得到它的工作，似乎是一个SELinux的误差，固定有：

 ＃setenforce 0 
  

有关参考，我们有这些包安装在的virtualenv：

  -e GIT中：//github.com/toastdriven /django-haystack.git@366e7489169d460d36ac4d942c22c0e97e58c26b#egg=django_haystack-master 
 elasticsearch == 1.0.0 
  

和弹性搜索-1.1.1-1.noarch通过yum在CentOS 6上

编辑：更广泛的修复不会广泛禁用SELinux：

 ＃setsebool -P httpd_can_network_connect on 
  

I'm wondering what the best combination of Django-Haystack + elasticsearch + pyelasticsearch/elasticsearch-py is. I've deployed a setup using Haystack 2.1.1-dev + elasticsearch 1.1.1 + elasticsearch-py 1.0 on an Ubuntu 12.04 machine. I tried using Haystack 2.1.0 (latest stable release) with elasticsearch 1.1.1 and pyelasticsearch 0.6.1, but it kept throwing me an error saying Django-Haystack depends on pyelasticsearch; so I switched to 2.1.1-dev, which worked beautifully.

But now I'm trying deploy an instance of a Django app to a CentOS 6.5 machine (Haystack 2.1.1-dev + elasticsearch 1.1.1 + elasticsearch-py 1.0), and I'm getting the same pyelasticsearch dependency error.

Any hints or tips from someone who has deployed to CentOS would be much appreciated.

解决方案

Got it working, seemed to be a SELinux error, fixed with:

# setenforce 0

For reference, we have these packages installed in a virtualenv:

-e git://github.com/toastdriven/django-haystack.git@366e7489169d460d36ac4d942c22c0e97e58c26b#egg=django_haystack-master
elasticsearch==1.0.0

And elasticsearch-1.1.1-1.noarch through yum on CentOS 6

Edit: The more general fix that doesn't broadly disable SELinux:

# setsebool -P httpd_can_network_connect on

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