Elasticsearch:默认模板不检测日期
Elasticsearch : Default template does not detect date
我有一个默认模板,看起来像
PUT /_template/abtemp
{
"template": "abt*",
"settings": {
"index.refresh_interval": "5s",
"number_of_shards": 5,
"number_of_replicas": 1,
"index.codec": "best_compression"
},
"mappings": {
"_default_": {
"_all": {
"enabled": false
},
"_source": {
"enabled": true
},
"dynamic_templates": [
{
"message_field": {
"match": "message",
"match_mapping_type": "string",
"mapping": {
"type": "string",
"index": "analyzed",
"omit_norms": true,
"fielddata": {
"format": "disabled"
}
}
}
},
{
"string_fields": {
"match": "*",
"match_mapping_type": "string",
"mapping": {
"type": "string",
"index": "analyzed",
"omit_norms": true,
"fielddata": {
"format": "disabled"
},
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed",
"ignore_above": 256
}
}
}
}
}
]
}
}
}
这里的想法是这样的
- 将模板应用到名称匹配
abt*
的所有索引
- 仅分析名为
message
的字符串字段。所有其他字符串字段将为 not_analyzed
并且将具有相应的 .raw
字段
现在我尝试将一些数据索引到其中作为
curl -s -XPOST hostName:port/indexName/_bulk --data-binary @myFile.json
这是文件
{ "index" : { "_index" : "abtclm3","_type" : "test"} }
{ "FIELD1":1, "FIELD2":"2015-11-18 15:32:18"", "FIELD3":"MATTHEWS", "FIELD4":"GARY", "FIELD5":"", "FIELD6":"STARMX", "FIELD7":"AL", "FIELD8":"05/15/2010 11:30", "FIELD9":"05/19/2010 7:00", "FIELD10":"05/19/2010 23:00", "FIELD11":3275, "FIELD12":"LC", "FIELD13":"WIN", "FIELD14":"05/15/2010 11:30", "FIELD15":"LC", "FIELD16":"POTUS", "FIELD17":"WH", "FIELD18":"S GROUNDS", "FIELD19":"OFFICE", "FIELD20":"VISITORS", "FIELD21":"STATE ARRIVAL - MEXICO**", "FIELD22":"08/27/2010 07:00:00 AM +0000", "FIELD23":"MATTHEWS", "FIELD24":"GARY", "FIELD25":"", "FIELD26":"STARMX", "FIELD27":"AL", "FIELD28":"05/15/2010 11:30", "FIELD29":"05/19/2010 7:00", "FIELD30":"05/19/2010 23:00", "FIELD31":3275, "FIELD32":"LC", "FIELD33":"WIN", "FIELD34":"05/15/2010 11:30", "FIELD35":"LC", "FIELD36":"POTUS", "FIELD37":"WH", "FIELD38":"S GROUNDS", "FIELD39":"OFFICE", "FIELD40":"VISITORS", "FIELD41":"STATE ARRIVAL - MEXICO**", "FIELD42":"08/27/2010 07:00:00 AM +0000" }
请注意,有一些字段(例如 FIELD2
)应归类为 date
。此外,FIELD31
应归类为 long
。所以索引发生了,当我查看数据时,我看到数字已被正确分类,但其他所有内容都已放在 string
下。我如何确保具有时间戳的字段被分类为 date
s?
那里有很多日期格式。您需要这样的模板:
{
"template": "abt*",
"settings": {
"index.refresh_interval": "5s",
"number_of_shards": 5,
"number_of_replicas": 1,
"index.codec": "best_compression"
},
"mappings": {
"_default_": {
"dynamic_date_formats":["dateOptionalTime||yyyy-mm-dd HH:mm:ss||mm/dd/yyyy HH:mm||mm/dd/yyyy HH:mm:ss aa ZZ"],
"_all": {
"enabled": false
},
"_source": {
"enabled": true
},
"dynamic_templates": [
{
"message_field": {
"match": "message",
"match_mapping_type": "string",
"mapping": {
"type": "string",
"index": "analyzed",
"omit_norms": true,
"fielddata": {
"format": "disabled"
}
}
}
},
{
"dates": {
"match": "*",
"match_mapping_type": "date",
"mapping": {
"type": "date",
"format": "dateOptionalTime||yyyy-mm-dd HH:mm:ss||mm/dd/yyyy HH:mm||mm/dd/yyyy HH:mm:ss aa ZZ"
}
}
},
{
"string_fields": {
"match": "*",
"match_mapping_type": "string",
"mapping": {
"type": "string",
"index": "analyzed",
"omit_norms": true,
"fielddata": {
"format": "disabled"
},
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed",
"ignore_above": 256
}
}
}
}
}
]
}
}
}
这可能没有涵盖您那里的所有格式,您需要添加其余的格式。这个想法是在 dynamic_date_formats
下指定它们,由 ||
分隔,然后在 date
字段本身的 format
字段下指定它们。
要了解您需要做什么来定义它们,请参阅 this section of the documentation for builtin formats and this piece of documentation 以了解您计划使用的任何自定义格式。
我有一个默认模板,看起来像
PUT /_template/abtemp
{
"template": "abt*",
"settings": {
"index.refresh_interval": "5s",
"number_of_shards": 5,
"number_of_replicas": 1,
"index.codec": "best_compression"
},
"mappings": {
"_default_": {
"_all": {
"enabled": false
},
"_source": {
"enabled": true
},
"dynamic_templates": [
{
"message_field": {
"match": "message",
"match_mapping_type": "string",
"mapping": {
"type": "string",
"index": "analyzed",
"omit_norms": true,
"fielddata": {
"format": "disabled"
}
}
}
},
{
"string_fields": {
"match": "*",
"match_mapping_type": "string",
"mapping": {
"type": "string",
"index": "analyzed",
"omit_norms": true,
"fielddata": {
"format": "disabled"
},
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed",
"ignore_above": 256
}
}
}
}
}
]
}
}
}
这里的想法是这样的
- 将模板应用到名称匹配
abt*
的所有索引
- 仅分析名为
message
的字符串字段。所有其他字符串字段将为not_analyzed
并且将具有相应的.raw
字段
现在我尝试将一些数据索引到其中作为
curl -s -XPOST hostName:port/indexName/_bulk --data-binary @myFile.json
这是文件
{ "index" : { "_index" : "abtclm3","_type" : "test"} }
{ "FIELD1":1, "FIELD2":"2015-11-18 15:32:18"", "FIELD3":"MATTHEWS", "FIELD4":"GARY", "FIELD5":"", "FIELD6":"STARMX", "FIELD7":"AL", "FIELD8":"05/15/2010 11:30", "FIELD9":"05/19/2010 7:00", "FIELD10":"05/19/2010 23:00", "FIELD11":3275, "FIELD12":"LC", "FIELD13":"WIN", "FIELD14":"05/15/2010 11:30", "FIELD15":"LC", "FIELD16":"POTUS", "FIELD17":"WH", "FIELD18":"S GROUNDS", "FIELD19":"OFFICE", "FIELD20":"VISITORS", "FIELD21":"STATE ARRIVAL - MEXICO**", "FIELD22":"08/27/2010 07:00:00 AM +0000", "FIELD23":"MATTHEWS", "FIELD24":"GARY", "FIELD25":"", "FIELD26":"STARMX", "FIELD27":"AL", "FIELD28":"05/15/2010 11:30", "FIELD29":"05/19/2010 7:00", "FIELD30":"05/19/2010 23:00", "FIELD31":3275, "FIELD32":"LC", "FIELD33":"WIN", "FIELD34":"05/15/2010 11:30", "FIELD35":"LC", "FIELD36":"POTUS", "FIELD37":"WH", "FIELD38":"S GROUNDS", "FIELD39":"OFFICE", "FIELD40":"VISITORS", "FIELD41":"STATE ARRIVAL - MEXICO**", "FIELD42":"08/27/2010 07:00:00 AM +0000" }
请注意,有一些字段(例如 FIELD2
)应归类为 date
。此外,FIELD31
应归类为 long
。所以索引发生了,当我查看数据时,我看到数字已被正确分类,但其他所有内容都已放在 string
下。我如何确保具有时间戳的字段被分类为 date
s?
那里有很多日期格式。您需要这样的模板:
{
"template": "abt*",
"settings": {
"index.refresh_interval": "5s",
"number_of_shards": 5,
"number_of_replicas": 1,
"index.codec": "best_compression"
},
"mappings": {
"_default_": {
"dynamic_date_formats":["dateOptionalTime||yyyy-mm-dd HH:mm:ss||mm/dd/yyyy HH:mm||mm/dd/yyyy HH:mm:ss aa ZZ"],
"_all": {
"enabled": false
},
"_source": {
"enabled": true
},
"dynamic_templates": [
{
"message_field": {
"match": "message",
"match_mapping_type": "string",
"mapping": {
"type": "string",
"index": "analyzed",
"omit_norms": true,
"fielddata": {
"format": "disabled"
}
}
}
},
{
"dates": {
"match": "*",
"match_mapping_type": "date",
"mapping": {
"type": "date",
"format": "dateOptionalTime||yyyy-mm-dd HH:mm:ss||mm/dd/yyyy HH:mm||mm/dd/yyyy HH:mm:ss aa ZZ"
}
}
},
{
"string_fields": {
"match": "*",
"match_mapping_type": "string",
"mapping": {
"type": "string",
"index": "analyzed",
"omit_norms": true,
"fielddata": {
"format": "disabled"
},
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed",
"ignore_above": 256
}
}
}
}
}
]
}
}
}
这可能没有涵盖您那里的所有格式,您需要添加其余的格式。这个想法是在 dynamic_date_formats
下指定它们,由 ||
分隔,然后在 date
字段本身的 format
字段下指定它们。
要了解您需要做什么来定义它们,请参阅 this section of the documentation for builtin formats and this piece of documentation 以了解您计划使用的任何自定义格式。