I have been using redis a lot lately, and really am loving it. I am mostly familiar with persistence (rdb and aof). I do have one concern. I would like to be able to selectively "archive" some of my data to disk (or cheaper storage) once it is no longer important. I don't really want to delete it because it might be valuable at some point.
All of my keys are named id_<id>_<someattribute>. So when I am done with id 4, I want to "archive" all all keys that match id_4_*. I can view them quite easily in with the command line, but I can't do anything with them, persay. I have quite a bit of data (very large bitmaps) associated with this data set, and frankly I can't afford the space once the id is no longer relevant or important.
If this were mysql, I would have my different tables and would very easily just dump it to a .sql file and then drop the table. The actual .sql file isn't directly useful to me, but I could reimport the data if/when I need it. Or maybe I have to mysql database and I want to move one table to another database. Are there redis corollaries to these processes? Is there someway to make an rdb or aof file that is a subset of the data?
Any help or input on this matter would be appreciated! Thanks!
#Hoseong Hwang recently asked what I did, so I'm posting what I ended up doing.
It was really quite simple, actually. I was benefited by the fact that my key space is segmented out by different users. All of my keys were of the structure user_<USERID>_<OTHERVALUES>. My archival needs were on a user basis, some user's data was no longer needed to be kept in redis.
So, I started up another instance of redis-server, on another port locally (6380?) or another machine, it makes no difference. Then, I wrote a short script that basically just called KEYS user_<USERID>_* (I understand the blocking nature of KEYS, my key space is so small it didn't matter, you can use SCAN if that is an issue for you.) Then, for each key, I MIGRATED them to that new redis-server instance. After they were all done. I did a SAVE to ensure that the rdb file for that instance was up to date. And now I have that rdb, which is just the content that I wanted to archive. I then terminated that temporary redis-server and the memory was reclaimed.
Now, keep that rdb file somewhere for cheap, safe keeping. And if you ever needed it again, doing the reverse of my process above to get those keys back into your main redis-server would be fairly straightforward.
Instead of trying to extract data from a live Redis instance for archiving purpose, my suggestion would be to extract the data from a dump file.
Run a bgsave command to generate a dump, and then use redis-rdb-tools to extract the keys you are interested in - you can easily get the result as a json file.
See https://github.com/sripathikrishnan/redis-rdb-tools
You can keep the json data in flat files, or try to store them into a relational database or a document store if you need them to be indexed for retrieval purpose.
A few suggestions for you...
I would like to be able to selectively "archive" some of my data to
disk (or cheaper storage) once it is no longer important. I don't
really want to delete it because it might be valuable at some point.
If such data is that valuable, use a traditional database for storage. Despite redis supporting snap-shotting to disk and AOF logs, you should view it as mostly volatile storage. The primary use case for redis is reducing latency, not persistence of valuable data.
So when I am done with id 4, I want to "archive" all all keys that
match id_4_*
What constitutes done? You need to ask yourself this question; does it mean after 1 day the data can fall out of redis? If so, just use TTL and expiration to let redis remove the object from memory. If you need it again, fall back to the database and pull the object back into redis. That first client will take the hit of pulling from the db, but subsequent requests will be cached. If done means something not associated with a specific duration, then you'll have to remove items from redis manually to conserve memory space.
If this were mysql, I would have my different tables and would very
easily just dump it to a .sql file and then drop the table. The actual
.sql file isn't directly useful to me, but I could reimport the data
if/when I need it.
We do the same at my firm. Important data is imported into redis from rdbms executed as on-demand job. We don't drop tables, we just selectively import data from the database into redis; nothing wrong with that.
Is there someway to make an rdb or aof file that is a subset of the
data?
I don't believe there is a way to do selective archiving; it's either all or none.
IMO, spend more time playing with redis. I highly recommend leveraging out-of-box features instead of reinventing and/or over-engineering solutions to suit your needs.
Hope that helps!...
Related
I have used Redis before in many projects, usually as a temporary cache, or to share small pieces of data between different subsystems. you get the idea. But now, I'm building a service that mainly revolves around the concept of a key-value store and needs super-fast data retrieval, so I'm using Redis. And because of this, all my data would be on Redis (it's not just a temporary cache or something of that sort). So I'm wondering, is this OK or should I take backups to another more "stable" database like MongoDB or MySQL?
Note that I'm not talking about the usual periodic backups. I would do that regardless of what database I end up using.
I have multiple servers that all store set members in a shared Redis cache. When the cache fills up, I need to persist the data to disk to free up RAM. I then plan to parse the dumped data such that I will be able to combine all of the values that belong to a given key in MongoDB.
My first plan was to have each server process attempt an sadd operation. If the request fails because Redis has reached maxmemory, I planned to query for each of my set keys, and write each to disk.
However, I am wondering if there is a way to use one of the inbuilt persistence methods in Redis to write the Redis data to disk and delete the key/value pairs after writing. If this is possible I could just parse the rdb dump and work with the data in that fashion. I'd be grateful for any help others can offer on this question.
Redis' persistence is meant to be used for whatever's in the RAM. Put differently, you can't persist what ain't in RAM.
To answer your question: no, you can't use persistence to "offload" data from RAM.
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.
Good day!
Suppose we have a redis-master and several slaves. The master goal is to store all data while slaves are used for quering data for users. Hovewer quering is a bit complex and some temporary data needs to be stored. And also I want to cache the query result for a couple of minutes.
How should I configure replication to save temporary data and caches?
Redis slaves have optional support to accept writes, however you have to understand a few limitations of writable slaves before to use them, since they have non trivial issues.
Keys created on the slaves will not support expires. Actually in recent versions of Redis they appear to work but are actually leaked instead of expired, until the next time you resynchronize the slave with the master from scratch or issue FLUSHALL or alike. There are deep reasons for this issue... it is currently not clear if we'll deprecate writable slaves at all, find a solution, or deny expires for writable slaves.
You may want, anyway, to use a different Redis numerical DB (SELECT command) in order to store your intermediate data (you may use MULTI/.../MOVE/EXEC transaction in order to generate your intermediate results in the currently selected DB where data belongs, and MOVE the keys off to some other DB, so it will be clear if keys are accumulating and you can FLUSHDB from time to time).
The keys you create on your slave are volatile, they may go away in any moment when the master will resynchronize with the slave. Does not look like an issue for you since if they key is no longer there, you could recompute, but care should be take,
If you elect this slave into a master you have additional keys inside.
So there are definitely things to take in mind in this setup, however it is doable in some way. However you may want to consider alternative strategies.
Lua scripts on the slave side in order to filter your data inside Lua. Not as fast as Redis C commands often.
Precomputation of data directly in the actual data set in order to make your queries possible just using read only commands.
MIGRATE in order to migrate interesting keys from a slave to an instance (another master) designed specifically to perform post-computations.
Hard to tell what's the best strategy without in-depth analysis of the actual use case / problem, but I hope this general guidelines help.