1、增加数据

1.1 单条数据插入

示例代码：

from redis import StrictRedis
import time

try:
    start = time.time()
    s = StrictRedis.from_url('redis://192.168.124.49/1')
    for i in range(100000):
        s.set(f"name_{i}", f"dgw_{i}")
    print("耗时：", time.time() - start)
except Exception as e:
    print(e)

运行结果：

1.2 使用管道批量插入（10）

示例代码：

from redis import StrictRedis
import time

try:
    start = time.time()
    s = StrictRedis.from_url('redis://192.168.124.49/1')
    pipe = s.pipeline()
    for i in range(100000):
        pipe.set(f"name_{i}", f"dgw_{i}")
        if i % 10 == 0:
            pipe.execute()
    # 防止i不是整数倍时管道内部分命令不执行
    pipe.execute()
    print("耗时：", time.time() - start)
except Exception as e:
    print(e)

运行结果：

1.3 使用管道批量插入（50）

示例代码：

from redis import StrictRedis
import time

try:
    start = time.time()
    s = StrictRedis.from_url('redis://192.168.124.49/1')
    pipe = s.pipeline()
    for i in range(100000):
        pipe.set(f"name_{i}", f"dgw_{i}")
        if i % 50 == 0:
            pipe.execute()
    # 防止i不是整数倍时管道内部分命令不执行
    pipe.execute()
    print("耗时：", time.time() - start)
except Exception as e:
    print(e)

运行结果：

1.4 使用管道批量插入（100）

示例代码：

from redis import StrictRedis
import time

try:
    start = time.time()
    s = StrictRedis.from_url('redis://192.168.124.49/1')
    pipe = s.pipeline()
    for i in range(100000):
        pipe.set(f"name_{i}", f"dgw_{i}")
        if i % 100 == 0:
            pipe.execute()
    # 防止i不是整数倍时管道内部分命令不执行
    pipe.execute()
    print("耗时：", time.time() - start)
except Exception as e:
    print(e)

运行结果：

1.5 使用管道批量插入（1000）

示例代码：

from redis import StrictRedis
import time

try:
    start = time.time()
    s = StrictRedis.from_url('redis://192.168.124.49/1')
    pipe = s.pipeline()
    for i in range(100000):
        pipe.set(f"name_{i}", f"dgw_{i}")
        if i % 1000 == 0:
            pipe.execute()
    # 防止i不是整数倍时管道内部分命令不执行
    pipe.execute()
    print("耗时：", time.time() - start)
except Exception as e:
    print(e)

运行结果：

2、删除数据

2.1 单条数据删除

示例代码：

from redis import StrictRedis
import time

try:
    start = time.time()
    s = StrictRedis.from_url('redis://192.168.124.49/1')
    count = 0
    for key in s.scan_iter():
        print(key)
        count += 1
        s.delete(key)
    print(count)
    print("耗时：", time.time() - start)
except Exception as e:
    print(e)

运行结果：

2.2 使用管道批量删除数据

示例代码：

from redis import StrictRedis
import time

try:
    start = time.time()
    s = StrictRedis.from_url('redis://192.168.124.49/1')
    pipe = s.pipeline()
    count = 0
    for key in s.scan_iter(count=1000):
        print(key)
        count += 1
        pipe.delete(key)
        if count % 1000 == 0:
            pipe.execute()
    # 防止i不是整数倍时管道内部分命令不执行
    pipe.execute()
    print(count)
    print("耗时：", time.time() - start)
except Exception as e:
    print(e)

运行结果：

注意： 代码中的scan_iter()中的count的大小也会影响速度效率，pipeline批量的操作的大小也是影响速度效率的一个原因。具体数值设置多少根据实际情况而定，一般设置1000就好。