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使用Elasticsearch 存储数据的时候，每个单独的索引，或者一个类型的索引都可能有些自己特殊的属性，这样我们就要使用template了 通过指定指定的模版名字，来定义这个类型的索引多少个分片和副本，哪些字段不需要分词等等 使用*可以模糊匹配索引.
例如： business-* 可以匹配到 business-2017.05.01
{ "order": 0, "template": "test-business-*", "settings": { "index": { "routing": { "allocation": { "require": { "box_type": "hot" } } }, "refresh_interval": "3s", "analysis": { "filter": { "camel_filter": { "split_on_numerics": "false", "type": "word_delimiter", "stem_english_possessive": "false", "generate_number_parts": "false", "protected_words": [ "iPhone", "WiFi" ] } }, "analyzer": { "camel_analyzer": { "filter": [ "camel_filter", "lowercase" ], "char_filter": [ "html_strip" ], "type": "custom", "tokenizer": "ik_smart" } }, "tokenizer": { "my_tokenizer": { "type": "whitespace", "enable_lowercase": "false" } } }, "number_of_shards": "30", "number_of_replicas": "0" } }, "mappings": { "_default_": { "dynamic_templates": [ { "message_field": { "mapping": { "analyzer": "camel_analyzer", "index": "analyzed", "omit_norms": true, "type": "string" }, "match_mapping_type": "string", "match": "message" } }, { "logid_field": { "mapping": { "type": "long" }, "match_mapping_type": "string", "match": "logid" } }, { "string_fields": { "mapping": { "index": "not_analyzed", "omit_norms": true, "type": "string", "fields": { "raw": { "ignore_above": 256, "index": "not_analyzed", "type": "string" } } }, "match_mapping_type": "string", "match": "*" } } ], "_all": { "omit_norms": true, "enabled": true }, "properties": { "geoip": { "dynamic": true, "type": "object", "properties": { "location": { "type": "geo_point" } } }, "@version": { "index": "not_analyzed", "type": "string" } } } }, "aliases": {}} { "order": 0, "template": "test-webaccess-*", "settings": { "index": { "routing": { "allocation": { "require": { "box_type": "hot" } } }, "refresh_interval": "3s", "analysis": { "analyzer": { "ik": { "type": "custom", "tokenizer": "ik_smart" } } }, "number_of_shards": "20", "number_of_replicas": "0" } }, "mappings": { "_default_": { "dynamic_templates": [ { "message_field": { "mapping": { "analyzer": "ik", "index": "analyzed", "omit_norms": true, "type": "string" }, "match_mapping_type": "string", "match": "message" } }, { "bytes_field": { "mapping": { "type": "long" }, "match_mapping_type": "string", "match": "bytes" } }, { "string_fields": { "mapping": { "index": "not_analyzed", "omit_norms": true, "type": "string", "fields": { "raw": { "ignore_above": 256, "index": "not_analyzed", "type": "string" } } }, "match_mapping_type": "string", "match": "*" } } ], "_all": { "omit_norms": true, "enabled": true }, "properties": { "geoip": { "dynamic": true, "type": "object", "properties": { "location": { "type": "geo_point" } } }, "@version": { "index": "not_analyzed", "type": "string" } } } }, "aliases": {}}