ES数据导出至EXCEL

Posted 2023-03-25

参考技术A ES Version: 7.10.0

Excel保存格式类似Chrome插件elasticvue的查询展示格式，脚本如下:
需安装两个包 pip install elasticsearch pandas

[ES]Python查询ES导出数据为Excel

版本

elasticsearch==5.5.0
python==3.7

说明

用python查询es上存储的状态数据，将查询到的数据用pandas处理成excel

code

# -*- coding: utf-8 -*-
# @Time    : 2019/7/22 10:41
# @Author  : Skyell Wang
# @FileName: es_data_get.py

from elasticsearch import Elasticsearch
import pandas as pd
import os


def elastic_data(vin):
    """
  
    :param vin:
    :return:
    """
    # 连接es集群
    es = Elasticsearch(["ip"],
                       http_auth=('elastic', 'password'),
                       port=9200)

    # 根据特定条件获取数据
    body = 
        "query": 
            "term": 
                "vin": vin
            
        
    

    # 取出vin odometer
    para = 
        "_source": "vin,odometer"
    
    # 获取数据
    query = es.search(index=ddfsdfd', doc_type='dfsf',
                      size=1000, body=body, params=para)
    results = query['hits']['hits']

    # 判断数据是否为空
    if results == []:
        print('vin数据不存在', vin)

    else:
        try:
            # 存储逻辑：如果总里程数据存储，则正常存储，否则置为'null'
            if 'odometer' not in results[0]['_source']:
                results[0]['_source']['odometer'] = 0
                print(results[0]['_source'])
            else:
                print(results[0]['_source'])
        except NameError as e:
            print(e)
        return results[0]['_source']


if __name__ == "__main__":

    path = "E:\\MyCode\\ML_InAction\\data_analysis\\data_do"
    gc5_vin = "GC5_vin.csv"
    gc5_vin_path = os.path.join(path, gc5_vin)
    excel_file_name = 'GC5_data.xlsx'
    excel_path = os.path.join(path, excel_file_name)
    # 获取csv文件中固定列（vehicle_identifier）
    df_data = pd.read_csv(gc5_vin_path, usecols=['vehicle_identifier'])

    vin_data_list = []
    for i in range(len(df_data)):
        data_gc5 = elastic_data(df_data['vehicle_identifier'][i])
        # 判断是否为字典类型，如果是则存入list中
        is_dict = isinstance(data_gc5, dict)
        if is_dict:
            vin_data_list.append(data_gc5)
    # 转成dateframe类型,并存入excel
    vin_data_df = pd.DataFrame(vin_data_list)
    vin_data_df.to_excel(excel_path, index=False)
    print("任务已完成！")

python查询ES方法