ElasticSearch 不识别日期类型，显示为字符串类型
ElasticSearch not recognizing date type, shown as String type
ElasticSearch 版本：6.3
映射定义：
ES_DOCTYPE = {
"properties": {
"UsageEndDate": {"type": "date", "format": "YYYY-MM-dd HH:mm:ss"},
"UsageStartDate": {"type": "date", "format": "YYYY-MM-dd HH:mm:ss"}
}
}
json数据：
{
'UsageEndDate': '2018-08-01 02:00:00',
'UsageStartDate': '2018-08-01 01:00:00'
}
{
'UsageEndDate': '2018-08-02 02:00:00',
'UsageStartDate': '2018-08-02 01:00:00'
}
创建索引：
es.index(index="test", doc_type='test', body=ES_DOCTYPE)
发送数据：
helpers.streaming_bulk(es, documents(), index="test", doc_type='test', chunk_size=1000)
嗨，我做了我的工作 google 搜索，但也许关键字太笼统了，所以我没有得到太多。
我看了文档，ES应该可以自动找到日期格式，但即使我添加了映射定义，那些UsageStartDate或UsageEndDate在我查看时仍然显示为string他们在 Kibana。
有什么我遗漏的吗？
非常感谢:)
According to the docs ElasticSearch 通过以下方式与 date 协同工作。在内部，它将它们存储为一个长数字，表示自纪元以来的毫秒数。对于输出日期将始终呈现为字符串。
引自文档：
JSON doesn’t have a date datatype, so dates in Elasticsearch can either be:
- strings containing formatted dates, e.g. "2015-01-01" or "2015/01/01
12:10:30".
- a long number representing milliseconds-since-the-epoch.
- an integer representing seconds-since-the-epoch.
Internally, dates are
converted to UTC (if the time-zone is specified) and stored
as a long number representing milliseconds-since-the-epoch.
Queries on dates are internally converted to range queries on this
long representation, and the result of aggregations and stored fields
is converted back to a string depending on the date format that is
associated with the field.
我自己想出来了，
dynamicTemplate = {
"properties": {
"UsageEndDate": {"type": "date", "format": "YYYY-MM-dd HH:mm:ss"},
"UsageStartDate": {"type": "date", "format": "YYYY-MM-dd HH:mm:ss"}
}, "dynamic_templates": [
{
"notanalyzed": {
"match": "*",
"match_mapping_type": "string",
"mapping": {
"type": "string",
"index": "not_analyzed"
}
}
}
]
}
并先定义映射，然后将数据发送到ElasticSearch
es.indices.put_mapping(index="test", doc_type='test', body={'test': dynamicTemplate})
es.index(index='test-index', doc_type='tweet', body=ES_DOCTYPE)
ElasticSearch 版本：6.3
映射定义：
ES_DOCTYPE = {
"properties": {
"UsageEndDate": {"type": "date", "format": "YYYY-MM-dd HH:mm:ss"},
"UsageStartDate": {"type": "date", "format": "YYYY-MM-dd HH:mm:ss"}
}
}
json数据：
{
'UsageEndDate': '2018-08-01 02:00:00',
'UsageStartDate': '2018-08-01 01:00:00'
}
{
'UsageEndDate': '2018-08-02 02:00:00',
'UsageStartDate': '2018-08-02 01:00:00'
}
创建索引：
es.index(index="test", doc_type='test', body=ES_DOCTYPE)
发送数据：
helpers.streaming_bulk(es, documents(), index="test", doc_type='test', chunk_size=1000)
嗨，我做了我的工作 google 搜索，但也许关键字太笼统了，所以我没有得到太多。
我看了文档，ES应该可以自动找到日期格式，但即使我添加了映射定义，那些UsageStartDate或UsageEndDate在我查看时仍然显示为string他们在 Kibana。
有什么我遗漏的吗？
非常感谢:)
According to the docs ElasticSearch 通过以下方式与 date 协同工作。在内部，它将它们存储为一个长数字，表示自纪元以来的毫秒数。对于输出日期将始终呈现为字符串。
引自文档：
JSON doesn’t have a date datatype, so dates in Elasticsearch can either be:
- strings containing formatted dates, e.g. "2015-01-01" or "2015/01/01 12:10:30".
- a long number representing milliseconds-since-the-epoch.
- an integer representing seconds-since-the-epoch.
Internally, dates are converted to UTC (if the time-zone is specified) and stored as a long number representing milliseconds-since-the-epoch.
Queries on dates are internally converted to range queries on this long representation, and the result of aggregations and stored fields is converted back to a string depending on the date format that is associated with the field.
我自己想出来了，
dynamicTemplate = {
"properties": {
"UsageEndDate": {"type": "date", "format": "YYYY-MM-dd HH:mm:ss"},
"UsageStartDate": {"type": "date", "format": "YYYY-MM-dd HH:mm:ss"}
}, "dynamic_templates": [
{
"notanalyzed": {
"match": "*",
"match_mapping_type": "string",
"mapping": {
"type": "string",
"index": "not_analyzed"
}
}
}
]
}
并先定义映射，然后将数据发送到ElasticSearch
es.indices.put_mapping(index="test", doc_type='test', body={'test': dynamicTemplate})
es.index(index='test-index', doc_type='tweet', body=ES_DOCTYPE)