要在Amazon Elasticsearch Service上使用Elasticsearch Circle Ingest Processor,您需要执行以下步骤:
aws es create-elasticsearch-domain --domain-name my-elastic-domain --elasticsearch-version 7.10
pip install elasticsearch
from elasticsearch import Elasticsearch, RequestsHttpConnection
from requests_aws4auth import AWS4Auth
host = 'your-amazon-es-endpoint' # Amazon ES集群的端点
region = 'your-aws-region' # AWS区域
credentials = boto3.Session().get_credentials()
awsauth = AWS4Auth(credentials.access_key, credentials.secret_key, region, 'es', session_token=credentials.token)
es = Elasticsearch(
hosts=[{'host': host, 'port': 443}],
http_auth=awsauth,
use_ssl=True,
verify_certs=True,
connection_class=RequestsHttpConnection
)
pipeline_config = {
"description": "Circle processor pipeline",
"processors": [
{
"circle": {
"field": "location",
"target_field": "circle",
"shape_type": "geo_shape",
"operation": "circle",
"radius": "100km"
}
}
]
}
response = es.ingest.put_pipeline(id='circle_pipeline', body=pipeline_config)
print(response)
上述代码创建了一个名为circle_pipeline的Circle Ingest Processor配置,并将其应用于在location字段上。它将创建一个新的circle字段,其中包含以location字段为中心的100公里半径的圆形区域。
document = {
"location": {
"lat": 40.7128,
"lon": -74.0060
}
}
response = es.index(index='my-index', id=1, body=document, pipeline='circle_pipeline')
print(response)
上述代码将一个文档插入到名为my-index的索引中,并在插入过程中应用circle_pipeline。
请注意,上述代码示例中的一些参数,例如Amazon ES端点、AWS区域和索引名称需要根据您自己的设置进行调整。此外,您还需要确保您的AWS凭证具有适当的权限来访问Amazon ES和执行Circle Ingest Processor操作。
以上是在Amazon Elasticsearch Service上使用Elasticsearch Circle Ingest Processor的解决方案,包含了Python代码示例。希望对您有所帮助!