python elasticsearch客户端在创建索引期间设置映射
声明：本页面是StackOverFlow热门问题的中英对照翻译，遵循CC BY-SA 4.0协议，如果您需要使用它，必须同样遵循CC BY-SA许可，注明原文地址和作者信息，同时你必须将它归于原作者（不是我）：StackOverFlow
原文地址: http://stackoverflow.com/questions/31635828/
Warning: these are provided under cc-by-sa 4.0 license. You are free to use/share it, But you must attribute it to the original authors (not me):
StackOverFlow
python elasticsearch client set mappings during create index
提问by
I can set mappings of index being created in curl command like this:
我可以像这样设置在 curl 命令中创建的索引的映射：
{
"mappings":{
"logs_june":{
"_timestamp":{
"enabled":"true"
},
"properties":{
"logdate":{
"type":"date",
"format":"dd/MM/yyy HH:mm:ss"
}
}
}
}
}
But I need to create that index with elasticsearch client in python and set mappings.. what is the way ? I tried somethings below but not work:
但是我需要在 python 中使用 elasticsearch 客户端创建该索引并设置映射..是什么方式？我在下面尝试了一些但不起作用：
self.elastic_con = Elasticsearch([host], verify_certs=True)
self.elastic_con.indices.create(index="accesslog", ignore=400)
params = "{\"mappings\":{\"logs_june\":{\"_timestamp\": {\"enabled\": \"true\"},\"properties\":{\"logdate\":{\"type\":\"date\",\"format\":\"dd/MM/yyy HH:mm:ss\"}}}}}"
self.elastic_con.indices.put_mapping(index="accesslog",body=params)
采纳答案by Val
You can simply add the mapping in the createcall like this:
您可以简单地在create调用中添加映射，如下所示：
from elasticsearch import Elasticsearch
self.elastic_con = Elasticsearch([host], verify_certs=True)
mapping = '''
{
"mappings":{
"logs_june":{
"_timestamp":{
"enabled":"true"
},
"properties":{
"logdate":{
"type":"date",
"format":"dd/MM/yyy HH:mm:ss"
}
}
}
}
}'''
self.elastic_con.indices.create(index='test-index', ignore=400, body=mapping)
回答by Elzor
Well, there is easier way to do this with general python syntax:
好吧，有一种更简单的方法可以使用通用的 python 语法来做到这一点：
from elasticsearch import Elasticsearch
# conntect es
es = Elasticsearch([{'host': config.elastic_host, 'port': config.elastic_port}])
# delete index if exists
if es.indices.exists(config.elastic_urls_index):
es.indices.delete(index=config.elastic_urls_index)
# index settings
settings = {
"settings": {
"number_of_shards": 1,
"number_of_replicas": 0
},
"mappings": {
"urls": {
"properties": {
"url": {
"type": "string"
}
}
}
}
}
# create index
es.indices.create(index=config.elastic_urls_index, ignore=400, body=settings)
回答by James Murty
The Python API client can be a tricky to work with and it often requires you to provide the inner portions of JSON spec documentations to keyword arguments.
Python API 客户端使用起来可能很棘手，它通常需要您将 JSON 规范文档的内部部分提供给关键字参数。
For the put_mappingmethod, instead of providing it the full "mappings" JSON document you must give it the document_typeparameter and only the innerportion of the "mappings" document like so:
对于该put_mapping方法，您必须为其提供document_type参数和“映射”文档的内部部分，而不是为其提供完整的“映射”JSON 文档，如下所示：
self.client.indices.put_mapping(
index="accesslog",
doc_type="logs_june",
body={
"_timestamp": {
"enabled":"true"
},
"properties": {
"logdate": {
"type":"date",
"format":"dd/MM/yyy HH:mm:ss"
}
}
}
)
回答by Pari Rajaram
Another python client sample of how to raise field limit through create index
如何通过创建索引提高字段限制的另一个 python 客户端示例
from elasticsearch import Elasticsearch
es = Elasticsearch([{'host': config.elastic_host, 'port':
config.elastic_port}])
settings = {
'settings': {
'index.mapping.total_fields.limit': 100000
}
}
es.indices.create(index='myindex', body=settings)
