java-ee – 在两个节点上导致相同弹性搜索查询的不同搜索结果的

我有一个双节点弹性搜索设置,其中一个节点上的相同搜索查询导致不同于另一个节点的结果,我想找出原因.细节：

>相同的文档(相同的内容和ID)在两个节点上具有不同的分数,从而导致不同的排序顺序.
>它是可重现的：我可以删除整个索引并从数据库重建它,但结果仍然不同.
>在java ee war中嵌入了两个es节点.在每个部署中,索引都是从数据库重建的.
>最初发现问题时,hits.total会导致同一查询的结果在两个节点上有所不同.删除并重建索引后,它们是相同的.
>我现在的解决方法是按照建议here使用preferences=_local.
>到目前为止,我在日志中找不到任何有趣的错误.

_cluster /状态：

{
    "cluster_name": "elasticsearch.abc","version": 330,"master_node": "HexGKOoHSxqRaMmwduCVIA","blocks": {},"nodes": {
        "rUZDrUfMR1-RWcy4t0YQNw": {
            "name": "Owl","transport_address": "inet[/10.123.123.123:9303]","attributes": {}
        },"HexGKOoHSxqRaMmwduCVIA": {
            "name": "Bloodlust II","transport_address": "inet[/10.123.123.124:9303]","attributes": {}
        }
    },"metadata": {
        "templates": {},"indices": {
            "abc": {
                "state": "open","settings": {
                    "index": {
                        "creation_date": "1432297566361","uuid": "LKx6Ro9CRXq6JZ9a29jWeA","analysis": {
                            "filter": {
                                "substring": {
                                    "type": "nGram","min_gram": "1","max_gram": "50"
                                }
                            },"analyzer": {
                                "str_index_analyzer": {
                                    "filter": [
                                        "lowercase","substring"
                                    ],"tokenizer": "keyword"
                                },"str_search_analyzer": {
                                    "filter": [
                                        "lowercase"
                                    ],"tokenizer": "keyword"
                                }
                            }
                        },"number_of_replicas": "1","number_of_shards": "5","version": {
                            "created": "1050099"
                        }
                    }
                },"mappings": {
                    "some_mapping": {
                        ...
                    }
                    ...
                },"aliases": []
            }
        }
    },"routing_table": {
        "indices": {
            "abc": {
                "shards": {
                    "0": [
                        {
                            "state": "STARTED","primary": true,"node": "HexGKOoHSxqRaMmwduCVIA","relocating_node": null,"shard": 0,"index": "abc"
                        },{
                            "state": "STARTED","primary": false,"node": "rUZDrUfMR1-RWcy4t0YQNw","index": "abc"
                        }
                    ],"1": [
                        {
                            "state": "STARTED","shard": 1,"2": [
                        {
                            "state": "STARTED","shard": 2,"3": [
                        {
                            "state": "STARTED","shard": 3,"4": [
                        {
                            "state": "STARTED","shard": 4,"index": "abc"
                        }
                    ]
                }
            }
        }
    },"routing_nodes": {
        "unassigned": [],"nodes": {
            "HexGKOoHSxqRaMmwduCVIA": [
                {
                    "state": "STARTED","index": "abc"
                },{
                    "state": "STARTED","index": "abc"
                }
            ],"rUZDrUfMR1-RWcy4t0YQNw": [
                {
                    "state": "STARTED","index": "abc"
                }
            ]
        }
    },"allocations": []
}

_cluster /健康

{
    "cluster_name": "elasticsearch.abc","status": "green","timed_out": false,"number_of_nodes": 2,"number_of_data_nodes": 2,"active_primary_shards": 5,"active_shards": 10,"relocating_shards": 0,"initializing_shards": 0,"unassigned_shards": 0,"number_of_pending_tasks": 0
}

_cluster /统计

{
    "timestamp": 1432312770877,"cluster_name": "elasticsearch.abc","indices": {
        "count": 1,"shards": {
            "total": 10,"primaries": 5,"replication": 1,"index": {
                "shards": {
                    "min": 10,"max": 10,"avg": 10
                },"primaries": {
                    "min": 5,"max": 5,"avg": 5
                },"replication": {
                    "min": 1,"max": 1,"avg": 1
                }
            }
        },"docs": {
            "count": 19965,"deleted": 4
        },"store": {
            "size_in_bytes": 399318082,"throttle_time_in_millis": 0
        },"fielddata": {
            "memory_size_in_bytes": 60772,"evictions": 0
        },"filter_cache": {
            "memory_size_in_bytes": 15284,"id_cache": {
            "memory_size_in_bytes": 0
        },"completion": {
            "size_in_bytes": 0
        },"segments": {
            "count": 68,"memory_in_bytes": 10079288,"index_writer_memory_in_bytes": 0,"index_writer_max_memory_in_bytes": 5120000,"version_map_memory_in_bytes": 0,"fixed_bit_set_memory_in_bytes": 0
        },"percolate": {
            "total": 0,"time_in_millis": 0,"current": 0,"memory_size_in_bytes": -1,"memory_size": "-1b","queries": 0
        }
    },"nodes": {
        "count": {
            "total": 2,"master_only": 0,"data_only": 0,"master_data": 2,"client": 0
        },"versions": [
            "1.5.0"
        ],"os": {
            "available_processors": 8,"mem": {
                "total_in_bytes": 0
            },"cpu": []
        },"process": {
            "cpu": {
                "percent": 0
            },"open_file_descriptors": {
                "min": 649,"max": 654,"avg": 651
            }
        },"jvm": {
            "max_uptime_in_millis": 2718272183,"versions": [
                {
                    "version": "1.7.0_40","vm_name": "Java HotSpot(TM) 64-Bit Server VM","vm_version": "24.0-b56","vm_vendor": "Oracle Corporation","count": 2
                }
            ],"mem": {
                "heap_used_in_bytes": 2665186528,"heap_max_in_bytes": 4060086272
            },"threads": 670
        },"fs": {
            "total_in_bytes": 631353901056,"free_in_bytes": 209591468032,"available_in_bytes": 209591468032
        },"plugins": []
    }
}

示例查询：

/_search?from=22&size=1
{
  "query": {
    "bool": {
      "should": [{
        "match": {
          "address.city": {
            "query": "Bremen","boost": 2
          }
        }
      }],"must": [{
        "match": {
          "type": "L"
        }
      }]
    }
  }
}

对第一个请求的响应

{
  "took": 30,"_shards": {
    "total": 5,"successful": 5,"failed": 0
  },"hits": {
    "total": 19543,"max_score": 6.407021,"hits": [{
      "_index": "abc","_type": "xyz","_id": "ABC123","_score": 5.8341036,"_source": {
        ...
      }
    }]
  }
}

对第二个请求的响应

{
"took": 27,"failed": 0
},"hits": [
        {
            "_index": "abc","_id": "FGH12343","_source": {
                ...
            }
        }
    ]
}

}

可能是什么原因导致我如何确保不同节点的结果相同？

按要求解释查询：search / abc / mytype / _search？from = 0& size = 1& search_type = dfs_query_then_fetch& explain =

{
  "query": {
    "bool": {
      "should": [{
        "match": {
          "address.city": {
            "query": "Karlsruhe","boost": 2
          }
        }
      }]
    }
  }
}

对第一个请求的响应

{
    "took": 5,"_shards": {
        "total": 5,"failed": 0
    },"hits": {
        "total": 41,"max_score": 7.211497,"hits": [
            {
                "_shard": 0,"_node": "rUZDrUfMR1-RWcy4t0YQNw","_index": "abc","_type": "mytype","_id": "abc123","_score": 7.211497,"_source": {...
                },"_explanation": {
                    "value": 7.211497,"description": "weight(address.city:karlsruhe^2.0 in 1598) [PerFieldSimilarity],result of:","details": [
                        {
                            "value": 7.211497,"description": "fieldWeight in 1598,product of:","details": [
                                {
                                    "value": 1,"description": "tf(freq=1.0),with freq of:","details": [
                                        {
                                            "value": 1,"description": "termFreq=1.0"
                                        }
                                    ]
                                },{
                                    "value": 7.211497,"description": "idf(docFreq=46,maxDocs=23427)"
                                },{
                                    "value": 1,"description": "fieldNorm(doc=1598)"
                                }
                            ]
                        }
                    ]
                }
            }
        ]
    }
}

对第二个请求的响应

{
    "took": 6,"max_score": 7.194322,"_score": 7.194322,"_explanation": {
                    "value": 7.194322,"details": [
                        {
                            "value": 7.194322,{
                                    "value": 7.194322,"description": "idf(docFreq=48,maxDocs=24008)"
                                },"description": "fieldNorm(doc=1598)"
                                }
                            ]
                        }
                    ]
                }
            }
        ]
    }
}