1 介绍

es数据导出到csv文件，暂时不考虑效率问题，仅谈实现方式。

2 python3

def connect_elk():
    client = Elasticsearch(hosts='http://192.168.56.20:9200',
                           http_auth=("elastic", "elastic密码"),
                           # 在做任何操作之前，先进行嗅探
                           # sniff_on_start=True,
                           # 节点没有响应时，进行刷新，重新连接
                           sniff_on_connection_fail=True,
                           # 每 60 秒刷新一次
                           sniffer_timeout=60
                           )
    return client

from elasticsearch import Elasticsearch
import csv

# 获取es数据库
from common.util_es import connect_elk

es = connect_elk()

'''
    查询所有数据并导出
'''
index = 'blog_rate'
body = {}
item = ["r_id", "a_id"]

# body = {
#     "query": {
#         "match": {"name": "张三"},
#     }
# }

def ExportCsv(index, body,item):
    query = es.search(index=index, body=body, scroll='5m', size=1000)
    # es查询出的结果第一页
    results = query['hits']['hits']
    # es查询出的结果总量
    total = query['hits']['total']["value"]
    # 游标用于输出es查询出的所有结果
    scroll_id = query['_scroll_id']

    for i in range(0, int(total / 100) + 1):
        # scroll参数必须指定否则会报错
        query_scroll = es.scroll(scroll_id=scroll_id, scroll='5m')['hits']['hits']
        results += query_scroll

    with open('./' + index + '.csv', 'w', newline='', encoding="utf_8_sig") as flow:
        csv_writer = csv.writer(flow)
        for res in results:
            csvrow1 = []
            for i in item:
                csvrow1.append(res["_source"][i])
            csv_writer.writerow(csvrow1)
    print('done!')

参考地址：
https://blog.csdn.net/github_27244019/article/details/115351640

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