MySQL怎么实现批量推送数据到Mongo

import pymongo 
import mysql.connector

mysql_conn = mysql.connector.connect( host="localhost", user="yourusername", password="yourpassword", database="yourdatabase" )

mongo_client = pymongo.MongoClient("mongodb://localhost:27017/") mongo_db = mongo_client["mydatabase"] mongo_collection = mongo_db["mycollection"]

mongo_collection.create_index([("myfield", pymongo.ASCENDING)])

bulk_data = [] bulk_count = 0

mysql_cursor = mysql_conn.cursor() mysql_cursor.execute("SELECT * FROM mytable")

for row in mysql_cursor: # 将一条记录转换成你的MongoDB文档，然后将其添加到缓冲列表。 
doc = { "myfield": row[0], "anotherfield": row[1], "yetanotherfield": row[2] } bulk_data.append(doc) bulk_count += 1

# 如果我们达到了10000，请在集合中批量插入缓冲数据。
if bulk_count == 10000:
    mongo_collection.insert_many(bulk_data)
    # 重置计数器并清除缓冲数据列表
    bulk_count = 0
    bulk_data.clear()

if bulk_count > 0: mongo_collection.insert_many(bulk_data)

import pymongo
import mysql.connector
# 连接MySQL数据库
mysql_conn = mysql.connector.connect(
  host="localhost",
  user="yourusername",
  password="yourpassword",
  database="yourdatabase"
)
# 连接MongoDB数据库
mongo_client = pymongo.MongoClient("mongodb://localhost:27017/")
mongo_db = mongo_client["mydatabase"]
mongo_collection = mongo_db["mycollection"]
# 在MongoDB中为指定集合创建索引
mongo_collection.create_index([("myfield", pymongo.ASCENDING)])
# 缓冲列表和计数器以在每10000行处理后进行批处理
bulk_data = []
bulk_count = 0
# 创建游标对象并从MySQL数据库检索数据
mysql_cursor = mysql_conn.cursor()
mysql_cursor.execute("SELECT * FROM mytable")
# 遍历结果集并处理每个行。
for row in mysql_cursor:
    # 将一条记录转换成你的MongoDB文档，然后将其添加到缓冲列表。
    doc = {
        "myfield": row[0],
        "anotherfield": row[1],
        "yetanotherfield": row[2]
    }
    bulk_data.append(doc)
    bulk_count += 1
    # 如果我们达到了10000，请在集合中批量插入缓冲数据。
    if bulk_count == 10000:
        mongo_collection.insert_many(bulk_data)
        # 重置计数器并清除缓冲数据列表
        bulk_count = 0
        bulk_data.clear()
# 处理剩余的行，如果有任何事情需要处理。
if bulk_count > 0:
    mongo_collection.insert_many(bulk_data)
# 关闭MySQL连接。
mysql_conn.close()