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the object directly from the pool, And by reference counting way to share, so that the system stores a large number of values, but also to some extent save memory and improve performance, this parameter value n settings need to modify the source code a line of macro definition redis_shared_integers, the value is 10000 by default, Can be modified according to their own needs, modified and re-compiled on it. The p
result in higher data security, i.e. data persistence. There are 3 synchronization policies available in Redis, that is, synchronization per second, synchronization per modification, and unsynchronized. In fact, synchronization per second is also done asynchronously, and its efficiency is very high, the difference is that once the system is down, then the data will be lost in a second. Each time we modify
Redis is a memory database that supports persistence. That is to say, redis often needs to synchronize data in the memory to the disk to ensure persistence. Redis supports two persistence Methods: snapshotting (snapshot) and appen
large. What are the advantages of aof?
1). This mechanism can result in higher data security, i.e. data persistence. There are 3 synchronization policies available in Redis, that is, synchronization per second, synchronization per modification, and unsynchronized. In fact, synchronization per second is also done asynchronously, and its efficiency is very high, the difference is that once the system is dow
recovery. Because we can easily compress a single file and transfer it to other storage media. 3). maximize performance. For redis service processes, the only thing it needs to do at the beginning of persistence is to Fork sub-processes, and then the sub-processes will complete the persistence work, in this way, the
, 60 seconds are flushed to disk
The Redis Rdb file does not break because its write operation is performed in a new process.When a new Rdb file is generated, the Redis-generated subprocess writes the data to a temporary file, and then renames the temporary file to an Rdb file by means of an atomic rename system call.In this way, Redis's RDB files are always av
(most important)Save the 1 //take a snapshot within 900 seconds if 1 keys are modifiedSave - Ten //take a snapshot within 300 seconds if 10 keys are modifiedSave - 10000 //take a snapshot within 60 seconds if 10,000 keys are modifiedBecause Redis reads the RDB file on the disk at boot time to achieve data recovery. Thus achieving persistence, there are several drawbacks to asking a disk dump snapshot like
cannot tolerate such losses, requiring redis to proactively require the system to synchronize cached content to the hard disk after writing to the AoF file.In Redis we can set the timing of synchronization with the Appendfsync parameter:# Appendfsync Alwaysappendfsync everysec# Appendfsync NoBy default, Redis takes the everysec rule, which is to perform a synchr
Redis is an in-memory database that supports persistence, which means that Redis often needs to synchronize in-memory data to disk to ensure persistence. Redis supports two persistence modes, one is snapshotting (snapshot) is the
1 What is persistentRedis is an in-memory database that loses power and transfers data. Persistence is the conversion of memory data to hard disk data.Of course, you can also drive to memory (the concept of backup, save, restore). 2 How to achieveTwo methods: snapshot Mode (RDB) + log mode (AOF)Fast + Maximize Redis performance + convenience: RDB modeMore durable: aof modeRecommendation: Use both of these m
What persistence mechanisms are provided by Redis:
1). RDB Persistence:
This mechanism is to write a snapshot of an in-memory dataset to disk at a specified time interval.
2). AoF Persistence:
This mechanism will log every write that the server processes, read the file in the Redi
Redis is a distributed NoSQL database system oriented to "Key-value" type data, which has the advantages of high performance, persistent storage, and adapting to the highly concurrent application scenarios. Although it started late, but the development is very rapid.In recent days, Redis's author wrote in his blog, he saw all the discussion of Redis, the misunderstanding of
1. Preface
Redis has recently been used in projects to cache, allowing data to be shared between multiple business processes. Since Redis data is stored in memory, if no persistence is configured, the data is lost after the Redis reboot, so you need to turn on Redis
In general, data persistence stores data on disks to ensure that data is not lost due to factors such as power outages. Redis often needs to synchronize data in the memory to the disk to ensure persistence. Redis supports two persistence Methods: Snapshotting (snapshot) and
Introduction to Data persistence in Redis
It is currently used in two cases
1. Use as a database;
2. Use as a cache server.
The high performance of Redis is largely due to the fact that it stores data in memory, but the data is lost when the Redis restarts or when the machine is accidentally restarted. In order to kee
subprocess (the actual work of creating RDB files is actually done by the Rdbsave function, save and Bgsave will call this function, just the way it is invoked), The Bgsave command will also be rejected during Bgsave, as is the case with the rejection of Save, where two bgsave also compete, and the bgrewriteaof command is deferred until Bgsave executes.
Redis does not have a special RDB file Load command,
Redis persistence CacheRedis persistent cache:
I. snapsho (snapshot method-"binary file)
① Periodically generate snapshots
② Generate snapshots quantitatively
Observe the settings of the SNAPSHOTTING setting module in the redis configuration file. We can find that
I have explained the meaning of the save command. Now let me talk about it again, that is:
Save? 90
the Rdb file (written in bgsave) #若将下述的三条命令都注释掉, Rdbsave 1 # is not allowed At least one key changed after 900s save #300s后至少有10个key发生了变化save 10000 #60s后至少有10000个key发生了变化 # When the background RDB process exports a snapshot (part of the Key-value) to an RDB file (that is, when the last background save failed), #redis主进程是否还接受向数据库写数据 # This way will let the user know that an error occurred while
all monitoring in the connection.Ii. The mechanism of persistenceRedis is an in-memory database that supports persistence, which means that Redis often needs to synchronize the in-memory data to the hard disk to ensure persistence. Redis supports two types of persistence sc
second, disaster recovery simulation
Since persistent data is used for data recovery after a reboot, it is very necessary to perform such a disaster recovery simulation. It is said that if the data is to be persisted and stability is to be ensured, half of the physical memory is recommended to be left blank. Because at the time of the snapshot, the sub-processes that fork out the dump operation will occupy the same memory as the parent process, the real copy-on-write, the performance impact and
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