1、安裝lmdb

2、Ubuntu 系統命令：pip install lmdb

3、運行代碼：combine_lmdb.py

#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Sun Aug 12 17:50:48 2018
@author: Sarah
"""

import lmdb
env1 = lmdb.open("/home/www/www_python/dataset/train_001_lmdb")
env2 = lmdb.open("/home/www/www_python/dataset/train_002_lmdb")

txn1 = env1.begin()
txn2 = env2.begin()

database1 = txn1.cursor()
database2 = txn2.cursor()


env3 = lmdb.open("/home/www/www_python/dataset/train_result_lmdb", map_size=int(1e12))
txn3 = env3.begin(write=True)
print(env3.stat()) 

count =0
for (key, value) in database1:
    # 將數據放到結果數據庫事務中
    txn3.put(key, value)
    count += 1
    if(count % 1000 == 0):
        # 將數據寫入數據庫，必須的，否則數據不會寫入到數據庫中
        txn3.commit()
        count = 0
        txn3 = env3.begin(write=True)
if(count % 1000 != 0):
    txn3.commit()
    count = 0
    txn3 = env3.begin(write=True)

for (key, value) in database2:
    txn3.put(key, value)
    if(count % 1000 == 0):
        txn3.commit()
        count = 0
        txn3= env3.begin(write=True)
if(count % 1000 != 0):
    txn3.commit()
    count = 0
    txn_3 = env3.begin(write=True)

#查詢合並前後的lmdb的數據，確認合並成功
print txn1.stat()[‘entries‘]
print txn2.stat()[‘entries‘]
print txn3.stat()[‘entries‘]
print("success")

caffe中兩個lmdb的合並 [python]