数据处理神器Elasticsearch_Pipeline：原理、配置与实战指南

from datetime import datetime
from elasticsearch import Elasticsearch
 
# 假设Elasticsearch服务器地址为localhost:9200
es = Elasticsearch("localhost:9200")
 
# 创建或更新索引模板
def create_or_update_index_template(name, index_patterns, template_settings):
    body = {
        "index_patterns": index_patterns,
        "settings": template_settings,
        "mappings": {
            "dynamic_templates": [
                {
                    "strings": {
                        "match_mapping_type": "string",
                        "mapping": {
                            "type": "text",
                            "fields": {
                                "keyword": {
                                    "type": "keyword",
                                    "ignore_above": 256
                                }
                            }
                        }
                    }
                }
            ]
        }
    }
    es.indices.put_template(name=name, body=body, create=True)
 
# 创建或更新pipeline
def create_or_update_ingest_pipeline(name, pipeline_definition):
    body = {
        "description": "Custom pipeline for data enrichment",
        "processors": pipeline_definition
    }
    es.ingest.put_pipeline(id=name, body=body, if_exists="update")
 
# 使用pipeline处理数据
def index_document_with_pipeline(index, document_id, document_data, pipeline_name):
    es.index(index=index, id=document_id, body=document_data, pipeline=pipeline_name)
 
# 示例：使用上述函数
template_name = "data_enrichment_template"
index_pattern = "data_enrichment-*"
index_settings = {
    "number_of_shards": 1,
    "number_of_replicas": 0
}
 
create_or_update_index_template(template_name, index_pattern, index_settings)
 
pipeline_name = "data_enrichment_pipeline"
pipeline_definition = [
    {
        "set": {
            "field": "timestamp",
            "value": datetime.now().strftime("%Y-%m-%dT%H:%M:%S")
        }
    },
    # 可以添加更多处理器
]
 
create_or_update_ingest_pipeline(pipeline_name, pipeline_definition)
 
index_name = "data_enrichment-2023.01.01"
document_id = "document1"
document_data = {
    "content": "Sample document for data enrichment"