1、首先需要明确MongoDB与kingbase的对应关系,collection相当于table,filed相当于字段,根据这个对应关系创建表;
此次迁移的MongoDB里的数据字段是:_id(自动生成的objectid),image(转成二进制存储的文档)
所以在金仓里创建表 create table admin(id varchar,image bytea);
2、安装Python环境,由于是内网环境,没有yum源,需要从能连接互联网的环境下载好相应的安装包
Python:3.9.0版本
用到以下这些包
import pymongo
import ksycopg2
import concurrent.futures
from ksycopg2 import pool
import logging
from urllib.parse import quote_plus
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pip download pymongo -d pymongo_packages --下载pymongo库
pip3 install --no-index --find-links=. pymongo --安装pymongo库
金仓的Python驱动可以到金仓官网下载,需要找和Python对应的版本
以下是Python脚本内容:
import pymongo import psycopg2 import concurrent.futures from psycopg2 import pool import logging from urllib.parse import quote_plus import os # 初始化日志记录 logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s', datefmt='%Y-%m-%d %H:%M:%S') # MongoDB设置 username='admin' password='SCJGscjg@123' host='10.253.228.41' port='27017' encoded_username = quote_plus(username) encoded_password = quote_plus(password) uri = f"mongodb://{encoded_username}:{encoded_password}@{host}:{port}/" mongo_client = pymongo.MongoClient(uri) mongo_db = mongo_client['admin'] mongo_collection = mongo_db['admin'] # 连接池设置 kb_pool = psycopg2.pool.ThreadedConnectionPool( minconn=1, maxconn=20, host="10.253.228.110", database="mongo", user="system", password="1", port="54322" ) # 偏移量存储文件 OFFSET_FILE = 'offset.txt' def read_offset(): if os.path.exists(OFFSET_FILE): with open(OFFSET_FILE, 'r') as f: return int(f.read().strip()) return 0 def write_offset(offset): with open(OFFSET_FILE, 'w') as f: f.write(str(offset)) def batch_insert(mongo_data): kb_conn = None try: kb_conn = kb_pool.getconn() with kb_conn.cursor() as kb_cursor: for data in mongo_data: id_value = data['_id'] image_data = data['image'] insert_query = "INSERT INTO dzzzwj(id, image) VALUES (%s, %s)" kb_cursor.execute(insert_query, (id_value, image_data)) kb_conn.commit() return True except Exception as e: logging.error(f"批量插入错误: {e}") return False finally: if kb_conn: kb_pool.putconn(kb_conn) def main(): batch_size = 80 offset = read_offset() executor = concurrent.futures.ThreadPoolExecutor(max_workers=8) try: while True: mongo_data = list(mongo_collection.find().skip(offset).limit(batch_size)) if not mongo_data: break future = executor.submit(batch_insert, mongo_data) future.add_done_callback(lambda f, offset=offset: ( logging.info(f"Batch completed with offset {offset}") if f.result() else logging.error(f"Batch failed with offset {offset}"), write_offset(offset + batch_size) if f.result() else None )) offset += batch_size if future.result() else 0 except Exception as e: logging.error(f"主循环错误: {e}") finally: executor.shutdown(wait=True) mongo_client.close() kb_pool.closeall() logging.info("资源已清理完毕。") if __name__ == "__main__": main()
这段代码思路:
(1)连接MongoDB和kingbase数据;
(2)因为MongoDB数据量比较大,并且需要断点续传,索引用了分页和排序;
(3)数据成功插入金仓数据库后,增加偏移量,并且将当前偏移量记录在offset.txt里面,以便脚本停了,可以再重启接着迁数据;
因为二进制数据从MongoDB和金仓数据查询出来的内容看着不一样,所以下面的代码是计算两边数据md5值对比的简单代码
import pymongo import ksycopg2 import base64 import hashlib def compute_hash(data): return hashlib.md5(data).hexdigest() mongo_client = pymongo.MongoClient('mongodb://127.0.0.1:27017/') mongo_db = mongo_client['admin'] mongo_collection = mongo_db['mongodb'] database = "test" user = "system" password = "1" host = "127.0.0.1" port = "54322" conn = ksycopg2.connect(database=database, user=user, password=password, host=host, port=port) cursor = conn.cursor() mongo_data = mongo_collection.find() print(mongo_data) # 插入到 kingbase for data in mongo_data: id_value = data['_id'] image_data = data['image'] #image_data = base64.b64encode(base64_data).decode('utf-8') image_data_byte = image_data if isinstance(image_data, bytes): mongo_hash = compute_hash(image_data_byte) print(mongo_hash) #image_data = base64.b64encode(base64_data).decode('utf-8') if id_value and image_data: insert_query = "INSERT INTO zzwj(_id, image) VALUES (%s, %s)" cursor.execute(insert_query, (id_value, image_data)) # 提交事务 conn.commit() cursor.execute("select _id, image from zzwj") rows = cursor.fetchall() for row in rows: _id = row[0] image_byte = row[1] pg_hash = compute_hash(image_byte) print(pg_hash) # 关闭连接 cursor.close() conn.close() mongo_client.close()