项目是和邮件相关，需要索引邮件的一些属性。Lucene的版本是：Lucene-2.1.0，并且还魔改了Lucene源码,所以现在升级Lucene是个问题。最后领导决定尝试elasticsearch(ES)。目前索引的存储结构是按收件日期的月份存储，也就是收件日期在同一个月的邮件放在同一个索引下，索引名称就是年份和月份（如：201810）。
ES索引模板
因为索引的邮件属性是一定的，所以每个索引的结构也就是一定的。
PUT _template/index_template
{
"index_patterns": ["*"],
"settings": {
"index": {
"number_of_shards": 1,
"number_of_replicas": 1,
"mapping.coerce": false,
"refresh_interval": "30s",
"analysis": {
"analyzer": {
"default": {
"type": "standard",
"stopwords": "_english_",
"filter": ["lowercase"]
}
},
"normalizer": {
"custom_normalizer": {
"type": "custom",
"char_filter": [],
"filter": ["lowercase", "asciifolding"]
}
}
}
}
},
"mappings": {
"_doc": {
"dynamic": false,
"_source": {
"excludes": ["from_name", "from_domain", "to_name", "to_domain", "subject_sort", "content", "attachment", "combinatorial"]
},
"_field_names": {
"enabled": false
},
"properties": {
"host": {
"type": "keyword",
"doc_values": false,
"normalizer": "custom_normalizer"
},
"message_id": {
"type": "keyword",
"doc_values": false,
"normalizer": "custom_normalizer"
},
"from": {
"type": "keyword",
"normalizer": "custom_normalizer",
"copy_to": ["combinatorial"]
},
"from_name": {
"type": "keyword",
"doc_values": false,
"normalizer": "custom_normalizer",
"copy_to": ["combinatorial"]
},
"from_domain": {
"type": "keyword",
"doc_values": false,
"normalizer": "custom_normalizer"
},
"to": {
"type": "keyword",
"normalizer": "custom_normalizer",
"copy_to": ["combinatorial"]
},
"to_name": {
"type": "keyword",
"doc_values": false,
"normalizer": "custom_normalizer",
"copy_to": ["combinatorial"]
},
"to_domain": {
"type": "keyword",
"doc_values": false,
"normalizer": "custom_normalizer"
},
"subject": {
"type": "text",
"norms": false,
"copy_to": ["subject_sort", "combinatorial"]
},
"subject_sort": {
"type": "keyword",
"normalizer": "custom_normalizer"
},
"content": {
"type": "text",
"norms": false,
"copy_to": ["combinatorial"]
},
"attachment": {
"type": "text",
"norms": false,
"copy_to": ["combinatorial"]
},
"attachment_name": {
"type": "keyword",
"doc_values": false,
"normalizer": "custom_normalizer"
},
"attachment_size": {
"type": "long",
"doc_values": false
},
"combinatorial": {
"type": "text",
"norms": false
},
"date": {
"type": "long"
},
"size": {
"type": "long"
}
}
}
}
}