redis_scanner | save tool to scan redis | Key Value Database library
kandi X-RAY | redis_scanner Summary
kandi X-RAY | redis_scanner Summary
fast and save tool to scan redis or redis cluster to find big keys, delete keys, or dump keys. 扫描redis或者redis cluster, 安全而快速地找出大key, 删除key, dump出key的内容
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Top functions reviewed by kandi - BETA
- Parse the command options
- Example command line
- GetKeysValuesAndBytes gets all of the keys and values from the Redis server
- PrintKeyInfoAndValueIntoFileIntoFileNew is the same as PrintKeyIntoFileIntoFileNew .
- DeleteKeys deletes keys from the master
- ScanKeys returns a map of all keys from masters to master
- GetMasterAndLatestSlavesInfo returns a map of master and master slaves
- ScanKeysFromOneKeyFile scans all keys from one key file
- Check and set redis server
- CheckRedisInfo - check redis server information
redis_scanner Key Features
redis_scanner Examples and Code Snippets
Lines of Code : 73
License : No License
Copy-F
即使指定主库，默认也是从找到最新的从库来扫描key， 如果没有合适的从库来扫描，则报错。
-F则在没有合适的情况下， 使用主库来扫描
-H
redis ip地址
-P
redis 端口
-p
redis 密码
-af
redis地址文件。 一行一个地址， 地址格式为IP:port的形式， 可以指定多行多个地址。
redis_scanner支持两个地址指定方式， 一种是-af， 另一种是-H与-P
-kd
从-kd指定的目录读入要处理的KEY列表。 文件名必须为ta redis_scanner可以快速安全地分析出redis与redis cluster所有的big key，快速安全地删除匹配某个正则的所有KEY，
安全地dump出匹配某个正则的所有KEY的内容
支持redis版本4.0及之后的memory usage 与unlink功能来分析KEY的大小与删除KEY
redis_scanner解决了redis-cli --bigkeys抽样与list等复合类型的KEY不准确的问题， 也解决了现在某些同类型的工具速度慢的问题
1）生成csv格式的b Community Discussions
Trending Discussions on Key Value Database
QUESTION
I'm developing a Laravel application & started using Redis as a caching system. I'm thinking of caching the data of all of a specific model I have, as a user may make an API request that this model is involved in quite often. Would a valid solution be storing each model in a hash, where the field is that record's unique ID, and the values are just the unique model's data, or is this use case too complicated for a simple key value database like Redis? I"m also curious as to how I would create model instances from the hash, when I retrieve all the data from it. Replies are appreciated!
...ANSWER
Answered 2021-Jul-08 at 17:02Short answer: Yes, you can store a model, or collections, or basically anything in the key-value caching of Redis. As long as the key provided is unique and can be retraced. Redis could even be used as a primary database.
Long answer
Ultimately, I think it depends on the implementation. There is a lot of optimization that can be done before someone can/should consider caching all models. For "simple" records that involve large datasets, I would advise to first optimize your queries and code and check the results. Examples:
- Select only data you need, not entire models.
- Use the Database Query Builder for interacting with the database when targeting large records, rather than Eloquent (Eloquent is significantly slower due to the Active Record pattern).
- Consider using the
toBase()method. This retrieves all data but does not create the Eloquent model, saving precious resources. - Use tools like the Laravel debugbar to analyze and discover potential long query loads.
For large datasets that do not change often or optimization is not possible anymore: caching is the way to go!
There is no right answer here, but maybe this helps you on your way! There are plenty of packages that implement similar behaviour.
QUESTION
In many articles, I've read that compacted Kafka topics can be used as a database. However, when looking at the Kafka API, I cannot find methods that allow me to query a topic for a value based on a key.
So, can a compacted Kafka topic be used as a (high performance, read-only) key-value database?
In my architecture I want to feed a component with a compacted topic. And I'm wondering whether that component needs to have a replica of that topic in its local database, or whether it can use that compacted topic as a key value database instead.
...ANSWER
Answered 2020-Nov-25 at 01:12Compacted kafka topics themselves and basic Consumer/Producer kafka APIs are not suitable for a key-value database. They are, however, widely used as a backstore to persist KV Database/Cache data, i.e: in a write-through approach for instance. If you need to re-warmup your Cache for some reason, just replay the entire topic to repopulate.
In the Kafka world you have the Kafka Streams API which allows you to expose the state of your application, i.e: for your KV use case it could be the latest state of an order, by the means of queriable state stores. A state store is an abstraction of a KV Database and are actually implemented using a fast KV database called RocksDB which, in case of disaster, are fully recoverable because it's full data is persisted in a kafka topic, so it's quite resilient as to be a source of the data for your use case.
Imagine that this is your Kafka Streams Application architecture:
To be able to query these Kafka Streams state stores you need to bundle an HTTP Server and REST API in your Kafka Streams applications to query its local or remote state store (Kafka distributes/shards data across multiple partitions in a topic to enable parallel processing and high availability, and so does Kafka Streams). Because Kafka Streams API provides the metadata for you to know in which instance the key resides, you can surely query any instance and, if the key exists, a response can be returned regardless of the instance where the key lives.
With this approach, you can kill two birds in a shot:
- Do stateful stream processing at scale with Kafka Streams
- Expose its state to external clients in a KV Database query pattern style
All in a real-time, highly performant, distributed and resilient architecture.
The images were sourced from a wider article by Robert Schmid where you can find additional details and a prototype to implement queriable state stores with Kafka Streams.
Notable mention:
If you are not in the mood to implement all of this using the Kafka Streams API, take a look at ksqlDB from Confluent which provides an even higher level abstraction on top of Kafka Streams just using a cool and simple SQL dialect to achieve the same sort of use case using pull queries. If you want to prototype something really quickly, take a look at this answer by Robin Moffatt or even this blog post to get a grip on its simplicity.
While ksqlDB is not part of the Apache Kafka project, it's open-source, free and is built on top of the Kafka Streams API.
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