mapperparsing在djanghaystack中使用elasticsearch执行rebuild_index时出现异常

Question

我用的是java 1.7.0_95，Django 1.8.4，Python 3.4.0，Django Rest Framework 3.1.3，ElasticSearch 2.3.1，pyelasticsearch 1.4和{}

每次尝试执行python manage.py rebuild_index时，elasticsearch都会遇到一个错误。这是错误：

MapperParsingException[Root mapping definition has unsupported parameters:  [_boost : {null_value=1.0, name=boost}]]
        at org.elasticsearch.index.mapper.DocumentMapperParser.checkNoRemainingFields(DocumentMapperParser.java:171)
        at org.elasticsearch.index.mapper.DocumentMapperParser.parse(DocumentMapperParser.java:159)
        at org.elasticsearch.index.mapper.DocumentMapperParser.parse(DocumentMapperParser.java:99)
        at org.elasticsearch.index.mapper.MapperService.parse(MapperService.java:498)
        at org.elasticsearch.cluster.metadata.MetaDataMappingService$PutMappingExecutor.applyRequest(MetaDataMappingService.java:257)
        at org.elasticsearch.cluster.metadata.MetaDataMappingService$PutMappingExecutor.execute(MetaDataMappingService.java:230)
        at org.elasticsearch.cluster.service.InternalClusterService.runTasksForExecutor(InternalClusterService.java:468)
        at org.elasticsearch.cluster.service.InternalClusterService$UpdateTask.run(InternalClusterService.java:772)
        at org.elasticsearch.common.util.concurrent.PrioritizedEsThreadPoolExecutor$TieBreakingPrioritizedRunnable.runAndClean(PrioritizedEsThreadPoolExecutor.java:231)
        at org.elasticsearch.common.util.concurrent.PrioritizedEsThreadPoolExecutor$TieBreakingPrioritizedRunnable.run(PrioritizedEsThreadPoolExecutor.java:194)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
        at java.lang.Thread.run(Thread.java:745)

以下是我的配置：

^{pr2}$

Answer 1

存在一个相关的django-haystack问题来删除boost参数，ElasticSearch>；=2中不再支持该参数：

• Remove boost which is now unsupported

在此更改之前，django-haystack在ElasticSearch后端的映射中使用了_boost参数。对主分支进行了更改。此时此刻你可以做一些事情：

• 直接从github安装django-haystack的开发版本：

  pip install -e git+https://github.com/toastdriven/django-haystack.git@master#egg=django-haystack
  

• 将ElasticSearch降级到最新的稳定版本，然后再升级到第二个，我认为是^{}

另外，以下是相关讨论：

• Django haystack LocationField created as string instead of geo_point in elasticsearch