ES-es-ElasticSearch:打破默认取回10条，scroll连续取回

import random
import json
import datetime
import time
from pymongo import MongoClient
from pymongo import MongoClient, ASCENDING, UpdateOne, InsertOne, DeleteOne, ReplaceOne
from pymongo.errors import BulkWriteError
from io import BytesIO
import pymysql.cursors
from bson.objectid import ObjectId
from bson import json_util as jsonb
from elasticsearch import Elasticsearch
from elasticsearch.helpers import bulk
from elasticsearch import helpers


import logging

# 默认的日志级别设置为WARNING（日志级别等级CRITICAL > ERROR > WARNING > INFO > DEBUG > NOTSET）
logging.basicConfig(level=logging.DEBUG,
                    format="%(asctime)s %(name)s [line:%(lineno)d] %(levelname)s %(message)s",
                    datefmt='%a, %d %b %Y %H:%M:%S',
                    filename="/root/backend/db/cront.log",
                    filemode="a")

dddd = MongoClient('120.133.26.118:20002', username='xwk', password='495vvFul015dV0cV')
mongo_post = MongoClient('dds-2ze197183eba5c941.mongodb.rds.aliyuncs.com:3717', username='root', password='lyp82nLF')
es = Elasticsearch(['es-cn-xxxx.elasticsearch.aliyuncs.com'], http_auth=('elastic', 'xxxx'), port=9200, timeout=50000)


# 要加定时任务
def delete_es_posts():

    current_start = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time()))
    logging.info("delete posts ok start-%s"%(current_start))
    print("start:", current_start)
    # {"index": {"max_result_window": 1000000}}

    query_body = {
        "query": {
            "match_all": {}
        }
    }

    # 返回条数有限，默认10条,单次处理
    # _searched = es.search(index="goodlook", doc_type="post", body=query_body)
    # for hit in _searched['hits']['hits']:
    #     # print(hit)
    #     print("---------------------------------------------------------------")
    #     post_id = hit.get("_id")
    #     one_post = mongo_post['admin']['post'].find_one({"_id": ObjectId("%s"%(post_id))})
    #     print("es_post_id, one_post:", post_id, one_post)
    #     if one_post is None:
    #         del_ret = es.delete(index="goodlook", doc_type="post", id=post_id)
    #         print("delete es post:", post_id)
    #         print("delete es status:", del_ret.get("result"))
    #         print("---------------------------------------------------------------")

    # 采用scroll方法返回，返回条数不受限制
    # clear_scroll default = True
    _searched = helpers.scan(
        client=es,
        query=query_body,
        scroll='10m',
        index='goodlook',
        doc_type='post',
        timeout='10m',
        size=2000,
        clear_scroll=True
    )

    for search in _searched:
        # print(search)
        # {'_index': 'goodlook', '_type': 'post', '_id': '5c83779c8443a458eba30749', '_score': None,
        # '_source': {'color': [], 'items': [], 'scene': 'show', 'year': '2019', 'season': '春夏',
        # 'show_name_en': 'Spring 2019 Menswear', 'show_name_cn': '2019春夏男装系列'}, 'sort': [11206]}

        post_id = search.get("_id")
        one_post = mongo_post['admin']['post'].find_one({"_id": ObjectId("%s"%(post_id))})
        print("es_post_id, one_post:", post_id, one_post)
        if one_post is None:
            del_ret = es.delete(index="goodlook", doc_type="post", id=post_id)
            print("delete es post:", post_id)
            print("delete es status:", del_ret.get("result"))
            print("---------------------------------------------------------------")

    current_end = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time()))
    logging.info("delete posts ok over-%s" % (current_end))
    print("end:", current_end)
    print("sustained time:", current_end-current_start)

delete_es_posts()

from elasticsearch import Elasticsearch
from elasticsearch.helpers import bulk
from elasticsearch import helpers
query_body = {
    "query": {
        "match_all": {}
    }
}
es = Elasticsearch(['es-cn-xxxx.elasticsearch.aliyuncs.com'], http_auth=('elastic', 'xxxx'), port=9200, timeout=50000)
_searched = helpers.scan(
    client=es,
    query=query_body,
    scroll='10m',
    index='goodlook',
    doc_type='post',
    timeout='10m',
    size=2000,
    clear_scroll=True
)

for search in _searched:
    pass