Kibana: Kibana 4 - Courier Fetch:5 个碎片中的 X 个失败

创建于 2015-05-27  ·  3评论  ·  资料来源: elastic/kibana

你好,

我在使用 Kibana 4.0.2(Build 6004)查看 Netflow 数据时遇到问题。 单击“发现”选项卡时收到的错误消息是一个黄色横幅,内容如下:

Courier Fetch: 5 of 5 shards failed.

然而,我可以使用 Kibana 3 查看这些数据,这让我相信这是 Kibana 4 查询 Elasticsearch 的一个错误(或更改)。

我还应该提到,如果我让 Elasticsearch 为该索引动态创建映射,我可以在 Kibana 4 中查看这些数据,但我想使用自定义映射以便对其进行优化。 我在下面包含了我尝试使用的映射,我看不出它有什么问题。 Netflow 数据包含的数字大于"type": "long"可以处理的数字,因此我需要对某些字段使用"type": "string"

要求

curl -XPOST http://fqdn.omitted.com:5601/elasticsearch/_msearch?timeout=0&ignore_unavailable=true&preference=1432705287095

请求有效载荷

{
  "index": "customindex-*",
  "ignore_unavailable": true
}\n
{
  "size": 500,
  "sort": {
    "@timestamp": "desc"
  },
  "highlight": {
    "pre_tags": [
      "@kibana-highlighted-field@"
    ],
    "post_tags": [
      "@/kibana-highlighted-field@"
    ],
    "fields": {
      "*": {}
    }
  },
  "aggs": {
    "2": {
      "date_histogram": {
        "field": "@timestamp",
        "interval": "30s",
        "pre_zone": "-07:00",
        "pre_zone_adjust_large_interval": true,
        "min_doc_count": 0,
        "extended_bounds": {
          "min": 1432704390127,
          "max": 1432705290128
        }
      }
    }
  },
  "query": {
    "filtered": {
      "query": {
        "match_all": {}
      },
      "filter": {
        "bool": {
          "must": [
            {
              "range": {
                "@timestamp": {
                  "gte": 1432704390134,
                  "lte": 1432705290134
                }
              }
            }
          ],
          "must_not": []
        }
      }
    }
  },
  "fields": [
    "*",
    "_source"
  ],
  "script_fields": {},
  "fielddata_fields": [
    "@timestamp"
  ]
}

回复

{
  "responses": [
    {
      "took": 44,
      "timed_out": false,
      "_shards": {
        "total": 5,
        "successful": 0,
        "failed": 5,
        "failures": [
          {
            "index": "customindex-2015.05.27",
            "shard": 0,
            "status": 500,
            "reason": "RemoteTransportException[[fqdn.omitted.com][inet[/192.168.1.110:9300]][indices:data/read/search[phase/fetch/id]]]; nested: ElasticsearchIllegalStateException[No matching token for number_type [BIG_INTEGER]]; "
          },
          {
            "index": "customindex-2015.05.27",
            "shard": 1,
            "status": 500,
            "reason": "RemoteTransportException[[fqdn.omitted.com][inet[/192.168.1.110:9300]][indices:data/read/search[phase/fetch/id]]]; nested: ElasticsearchIllegalStateException[No matching token for number_type [BIG_INTEGER]]; "
          },
          {
            "index": "customindex-2015.05.27",
            "shard": 2,
            "status": 500,
            "reason": "RemoteTransportException[[fqdn.omitted.com][inet[/192.168.1.110:9300]][indices:data/read/search[phase/fetch/id]]]; nested: ElasticsearchIllegalStateException[No matching token for number_type [BIG_INTEGER]]; "
          },
          {
            "index": "customindex-2015.05.27",
            "shard": 3,
            "status": 500,
            "reason": "RemoteTransportException[[fqdn.omitted.com][inet[/192.168.112.177:9300]][indices:data/read/search[phase/fetch/id]]]; nested: ElasticsearchIllegalStateException[No matching token for number_type [BIG_INTEGER]]; "
          },
          {
            "index": "customindex-2015.05.27",
            "shard": 4,
            "status": 500,
            "reason": "RemoteTransportException[[fqdn.omitted.com][inet[/192.168.1.110:9300]][indices:data/read/search[phase/fetch/id]]]; nested: ElasticsearchIllegalStateException[No matching token for number_type [BIG_INTEGER]]; "
          }
        ]
      },
      "hits": {
        "total": 86519,
        "max_score": null,
        "hits": []
      },
      "aggregations": {
        "2": {
          "buckets": [
            {
              "key_as_string": "2015-05-27T05:16:30.000Z",
              "key": 1432703790000,
              "doc_count": 0
            },
            {
              "key_as_string": "2015-05-27T05:17:00.000Z",
              "key": 1432703820000,
              "doc_count": 0
            },
            {
              "key_as_string": "2015-05-27T05:17:30.000Z",
              "key": 1432703850000,
              "doc_count": 0
            },
            {
              "key_as_string": "2015-05-27T05:18:00.000Z",
              "key": 1432703880000,
              "doc_count": 0
            },
            {
              "key_as_string": "2015-05-27T05:18:30.000Z",
              "key": 1432703910000,
              "doc_count": 0
            },
            {
              "key_as_string": "2015-05-27T05:19:00.000Z",
              "key": 1432703940000,
              "doc_count": 0
            },
            {
              "key_as_string": "2015-05-27T05:19:30.000Z",
              "key": 1432703970000,
              "doc_count": 0
            },
            {
              "key_as_string": "2015-05-27T05:20:00.000Z",
              "key": 1432704000000,
              "doc_count": 0
            },
            {
              "key_as_string": "2015-05-27T05:20:30.000Z",
              "key": 1432704030000,
              "doc_count": 0
            },
            {
              "key_as_string": "2015-05-27T05:21:00.000Z",
              "key": 1432704060000,
              "doc_count": 0
            },
            {
              "key_as_string": "2015-05-27T05:21:30.000Z",
              "key": 1432704090000,
              "doc_count": 0
            },
            {
              "key_as_string": "2015-05-27T05:22:00.000Z",
              "key": 1432704120000,
              "doc_count": 0
            },
            {
              "key_as_string": "2015-05-27T05:22:30.000Z",
              "key": 1432704150000,
              "doc_count": 0
            },
            {
              "key_as_string": "2015-05-27T05:23:00.000Z",
              "key": 1432704180000,
              "doc_count": 0
            },
            {
              "key_as_string": "2015-05-27T05:23:30.000Z",
              "key": 1432704210000,
              "doc_count": 0
            },
            {
              "key_as_string": "2015-05-27T05:24:00.000Z",
              "key": 1432704240000,
              "doc_count": 0
            },
            {
              "key_as_string": "2015-05-27T05:24:30.000Z",
              "key": 1432704270000,
              "doc_count": 0
            },
            {
              "key_as_string": "2015-05-27T05:25:00.000Z",
              "key": 1432704300000,
              "doc_count": 0
            },
            {
              "key_as_string": "2015-05-27T05:25:30.000Z",
              "key": 1432704330000,
              "doc_count": 0
            },
            {
              "key_as_string": "2015-05-27T05:26:00.000Z",
              "key": 1432704360000,
              "doc_count": 0
            },
            {
              "key_as_string": "2015-05-27T05:26:30.000Z",
              "key": 1432704390000,
              "doc_count": 4209
            },
            {
              "key_as_string": "2015-05-27T05:27:00.000Z",
              "key": 1432704420000,
              "doc_count": 7270
            },
            {
              "key_as_string": "2015-05-27T05:27:30.000Z",
              "key": 1432704450000,
              "doc_count": 6646
            },
            {
              "key_as_string": "2015-05-27T05:28:00.000Z",
              "key": 1432704480000,
              "doc_count": 7181
            },
            {
              "key_as_string": "2015-05-27T05:28:30.000Z",
              "key": 1432704510000,
              "doc_count": 6612
            },
            {
              "key_as_string": "2015-05-27T05:29:00.000Z",
              "key": 1432704540000,
              "doc_count": 6753
            },
            {
              "key_as_string": "2015-05-27T05:29:30.000Z",
              "key": 1432704570000,
              "doc_count": 6509
            },
            {
              "key_as_string": "2015-05-27T05:30:00.000Z",
              "key": 1432704600000,
              "doc_count": 10295
            },
            {
              "key_as_string": "2015-05-27T05:30:30.000Z",
              "key": 1432704630000,
              "doc_count": 13073
            },
            {
              "key_as_string": "2015-05-27T05:31:00.000Z",
              "key": 1432704660000,
              "doc_count": 14627
            },
            {
              "key_as_string": "2015-05-27T05:31:30.000Z",
              "key": 1432704690000,
              "doc_count": 3344
            }
          ]
        }
      }
    }
  ]
}

模板和映射

{
  "template": "customindex-*",
  "settings": {
    "index.refresh_integererval": "5s",
    "index.number_of_shards": "5"
  },
  "mappings": {
    "_default_": {
      "_all": {
        "enabled": false
      }
    },
    "netflow": {
      "properties": {
        "@timestamp": {
          "type": "date",
          "format": "dateOptionalTime"
        },
        "@version": {
          "type": "string"
        },
        "host": {
          "type": "string"
        },
        "netflow": {
          "properties": {
            "flow_seq_num": {
              "type": "long"
            },
            "flowset_id": {
              "type": "long"
            },
            "nf_f_conn_id": {
              "type": "long"
            },
            "nf_f_dst_addr_ipv4": {
              "type": "string",
              "index": "not_analyzed"
            },
            "nf_f_dst_intf_id": {
              "type": "long"
            },
            "nf_f_dst_port": {
              "type": "long"
            },
            "nf_f_egress_acl_id": {
              "type": "string",
              "index": "not_analyzed"
            },
            "nf_f_event_time_msec": {
              "type": "string",
              "index": "not_analyzed"
            },
            "nf_f_flow_create_time_msec": {
              "type": "string",
              "index": "not_analyzed"
            },
            "nf_f_fwd_flow_delta_bytes": {
              "type": "string",
              "index": "not_analyzed"
            },
            "nf_f_rev_flow_delta_bytes": {
              "type": "string",
              "index": "not_analyzed"
            },
            "nf_f_flow_bytes": {
              "type": "long"
            },
            "nf_f_fw_event": {
              "type": "long"
            },
            "nf_f_fw_ext_event": {
              "type": "long"
            },
            "nf_f_icmp_code": {
              "type": "long"
            },
            "nf_f_icmp_type": {
              "type": "long"
            },
            "nf_f_icmp_type_ipv6": {
              "type": "string",
              "index": "not_analyzed"
            },
            "nf_f_icmp_code_ipv6": {
              "type": "string",
              "index": "not_analyzed"
            },
            "nf_f_ingress_acl_id": {
              "type": "string",
              "index": "not_analyzed"
            },
            "nf_f_protocol": {
              "type": "long"
            },
            "nf_f_src_addr_ipv4": {
              "type": "string",
              "index": "not_analyzed"
            },
            "nf_f_src_intf_id": {
              "type": "long"
            },
            "nf_f_src_port": {
              "type": "long"
            },
            "nf_f_username": {
              "type": "string"
            },
            "nf_f_xlate_dst_addr_ipv4": {
              "type": "string"
            },
            "nf_f_xlate_dst_port": {
              "type": "long"
            },
            "nf_f_xlate_src_addr_ipv4": {
              "type": "string",
              "index": "not_analyzed"
            },
            "nf_f_xlate_src_port": {
              "type": "long"
            },
            "version": {
              "type": "long"
            }
          }
        },
        "type": {
          "type": "string"
        }
      }
    }
  }
}

最有用的评论

我仍然对 kibana 5.4 有同样的问题

所有3条评论

这似乎是一个弹性搜索问题:

ElasticsearchIllegalStateException[No matching token for number_type [BIG_INTEGER]]; 

正如您所指出的,您索引的数字太大了,elasticsearch 无法处理。 您需要将任何已索引的数据重新索引为字符串,并注意您将无法对它们进行聚合。 如果您需要帮助,请跳转到http://discuss.elastic.co

完成

仍然让我失望的是,我能够使用 Kibana 3 查看数据。有人在这个问题线程中提到了同样的事情。

我仍然对 kibana 5.4 有同样的问题

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