ElasticSearch scroll分页查询

from size

from + size不能大于10000, 适用小数据量的查询，总量大于10000时这种方法就不适用了。

scroll_id分页查询

通过游标的方式查，无查询上限，实际是一种分页机制。

from elasticsearch import Elasticsearch


class MyElastic:
    def __init__(self):
        self.es = Elasticsearch(['192.168.199.32'], http_auth=('elastic', 'passwd'), port=9200)

    def query_by_ScrollId(self, index, body):
        with open('es_query_answer.txt', 'w') as fw:

            res = self.es.search(index=index, doc_type='_doc', scroll='5m', timeout='1m', size=1000, body=body)
            total = res["hits"]["total"]['value']
            print(f'符合Query的记录总数：{total}, 使用scroll分页查：')

            cur_length = len(res['hits']['hits'])
            for x in res['hits']['hits']:
                fw.write(x['_source']['name'])
                fw.write('
')
            print('当前：', cur_length)

            # 通过游标scroll_id查出全部数据
            scroll_id = res["_scroll_id"]
            for i in range(int(total / 1000)+1):  # scroll分页, 每次size=1000
                res = self.es.scroll(scroll_id=scroll_id, scroll='5m')

                for x in res['hits']['hits']:  # 写入文件
                    fw.write(x['_source']['name'])
                    fw.write('
')
                cur_length += 1000
                print('当前：', cur_length)



es = MyElastic()

body = {  # match: 匹配name包含xxx的数据
    "_source": ["tld.subdomain", "tld.domain", 'name'],  # 选取字段
    "query": {
        "match": {
            "name": '.xyz'
        }
    }
}
es.query_by_ScrollId('fdns_a_2020-05', body)