I have been using hashes in redis with initial configuration hash-max-ziplist-entries 512
I needed to be with in this limit for saving memory. The initial encoding was a ziplist.
Without attention, I added some more keys to my keys. Their encoding changed to hashtable now.
I changed the redis configuration hash-max-ziplist-entries to accommodate more elements. But the encoding of elements is not reflecting this change in config.
I tested on my laptop, after restarting the server the encodings changed.
Is there any other way to change without bringing the server down?
The restart causes the dataset to be loaded from persistence, a process that rebuilds all the internal data structures. To avoid a restart, you can use DUMP & RESTORE on each individual key that you want to rebuilt.
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We are using redis server in production with 6 GB data size, Initially
we thought redis can be used as memory cache only, If it restarts then we can repopulate from the persistants data store with minimal downtime.
Now we realized that re-population of data from persistence store is not a good idea at all, It is causing major service downtime.
We want to evaluate redis persistant option by using RDB and AOF combination.We tried taking RDB snapshot once in a hour and committing to the AOF file with one second interval in test environments. AOF file is growing too big in test environment only. We tried to analyze the AOF file content and noticed that lot of keys we don't want to persist to the disk, We need them only in redis memory.
Is there any way to stop logging certain type of keys (block list keys) while logging to the AOF file
Generally, Redis does not provide a way to exclude certain types of keys from persistency. If you need some keys to persist to disk and others not to, you should use two independent Redis instances - one for each type and configure their persistency settings approriately. Divide and conquer.
Note: it is possible, however, to control what gets persisted in AOF inside the context if a Lua script - see the "Selective replication of commands" section of EVAL's documentation. That said, besides the consistency risks, it would be too much of a hassle to use this approach for what you need imo.
If we enable the AppendFileOnly in the redis.conf file, every operation which changes the redis database is loggged in that file.
Now, Suppose Redis has used all the memory allocated to it in the "maxmemory" direcive in the redis.conf file.
To store more data., it starts removing data by any one of the behaviours(volatile-lru, allkeys-lru etc.) specified in the redis.conf file.
Suppose some data gets removed from the main memory, But its log will still be there in the AppendOnlyFile(correct me if I am wrong). Can we get that data back using this AppendOnlyFile ?
Simply, I want to ask that if there is any way we can get that removed data back in the main memory ? Like Can we store that data into disk memory and load that data in the main memory when required.
I got this answer from google groups. I'm sharing it.
----->
Eviction of keys is recorded in the AOF as explicit DEL commands, so when
the file is replayed fully consistency is maintained.
The AOF is used only to recover the dataset after a restart, and is not
used by Redis for serving data. If the key still exists in it (with a
subsequent eviction DEL), the only way to "recover" it is by manually
editing the AOF to remove the respective deletion and restarting the
server.
-----> Another answer for this
The AOF, as its name suggests, is a file that's appended to. It's not a database that Redis searches through and deletes the creation record when a deletion record is encountered. In my opinion, that would be too much work for too little gain.
As mentioned previously, a configuration that re-writes the AOF (see the BGREWRITEAOF command as one example) will erase any keys from the AOF that had been deleted, and now you can't recover those keys from the AOF file. The AOF is not the best medium for recovering deleted keys. It's intended as a way to recover the database as it existed before a crash - without any deleted keys.
If you want to be able to recover data after it was deleted, you need a different kind of backup. More likely a snapshot (RDB) file that's been archived with the date/time that it was saved. If you learn that you need to recover data, select the snapshot file from a time you know the key existed, load it into a separate Redis instance, and retrieve the key with RESTORE or GET or similar commands. As has been mentioned, it's possible to parse the RDB or AOF file contents to extract data from them without loading the file into a running Redis instance. The downside to this approach is that such tools are separate from the Redis code and may not always understand changes to the data format of the files the way the Redis server does. You decide which approach will work with the level of speed and reliability you want.
But its log will still be there in the AppendOnlyFile(correct me if I am wrong). Can we get that data back using this AppendOnlyFile ?
NO, you CANNOT get the data back. When Redis evicts a key, it also appends a delete command to AOF. After rewriting the AOF, anything about the evicted key will be removed.
if there is any way we can get that removed data back in the main memory ? Like Can we store that data into disk memory and load that data in the main memory when required.
NO, you CANNOT do that. You have to take another durable data store (e.g. Mysql, Mongodb) for saving data to disk, and use Redis as cache.
Requirement - That our application processes files containing records and we have to maintain the log for the records in every file. The log file could easily be 100 MB at times in size.
Solution - Since database operation would be very heavy, so we wanted to go for in-memory cache. Write the logs for a particular file into a redis key (key might be the unique file name itself). Later when the user wants to see the log file, application should be able to read the contents from the cache using the unique key file name and write its content into a file which the user can see/download.
Question - Is this a good idea that, we keep appending the logs for a particular file to the same key and later when we have to write to the file, we read from the key and write the contents to the file? Basically the value of the redis key would always be string and its size might run into 100 MBs in size. Will there be any problems because of this?
You can achieve with redis easily, but don't forget that redis is in-memory store (make sure you don't run out of RAM). Ask yourself why you want to go for in-memory store over normal disk operations while dealing with files. If you feel like more frequent read operations happens and accessing time is crucial go ahead with redis.
Regarding size - 100MB is not a problem, in redis string can hold upto 512MB & List, Set, Hashes can hold >4billion records
I prefer MongoDB(which is a disk-based document store) for this kind of operations over redis.
Consider looking at this link to know when redis is awesome.
What will happen to my redis data if no expiry is set and no DEL command is used.
Will it be removed after some default time ?
One more,
How redis stores data, is it in any file format ? because I can access data even after restarting the computer. So which files are created by redis and where ?
Thanks.
Redis is a in-memory data store meaning all your data is kept in RAM (ie. volatile). So theoritically your data will live as long as you don't turn the power off.
However, it also provides persistence in two modes:
RDB mode which takes snapshots of your dataset and saves them to the disk in a file called dump.drb. This is the default mode.
AOF mode which records every write operation executed by the server in an Append-Only file and then replays it thus reconstructing the original data.
Redis persistence is very good explained here and here by the creator of Redis himself.
I'm building a Redis db which consumes nearly all of my machines memory. If Redis startes to save to disc while heavy inserting is going on, the memory consumption is more or less doubled (as described in the documentation). This leads to terrible performance in my case.
I would like to force Redis to not to store any data while I'm inserting and would trigger the save manually afterwards. That should solve my problem, but however I configure the "save" setting, at some point in time Redis starts to save to disc. Any hint how to prevent Redis from doing so?
You can disable saving by commenting all the "save" lines" in your redis.conf.
Alternately, if you don't want to edit any .conf files, run Redis with:
redis-server --save ""
As per example config (search for save):
It is also possible to remove all the previously configured save
points by adding a save directive with a single empty string argument
like in the following example:
save ""
I would also suggest looking at Persistence only slaves (Master / Slave replication) (Have the slaves persist data instead of master)
Take a look at this LINK