java-dirty | File-backed append-only object store | Key Value Database library

 by   mrwilson Java Version: 1.7 License: No License

kandi X-RAY | java-dirty Summary

kandi X-RAY | java-dirty Summary

java-dirty is a Java library typically used in Database, Key Value Database applications. java-dirty has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub, Maven.

File-backed append-only object store.
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            kandi-support Support

              java-dirty has a low active ecosystem.
              It has 113 star(s) with 17 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 3 open issues and 3 have been closed. On average issues are closed in 43 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of java-dirty is 1.7

            kandi-Quality Quality

              java-dirty has 0 bugs and 0 code smells.

            kandi-Security Security

              java-dirty has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              java-dirty code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              java-dirty does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              java-dirty releases are not available. You will need to build from source code and install.
              Deployable package is available in Maven.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              java-dirty saves you 391 person hours of effort in developing the same functionality from scratch.
              It has 930 lines of code, 80 functions and 21 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed java-dirty and discovered the below as its top functions. This is intended to give you an instant insight into java-dirty implemented functionality, and help decide if they suit your requirements.
            • Puts an object into this store
            • Returns types for the given class
            • Get the partition for the global insertion position
            • Returns an exception from the given supplier
            • Reads a 2m object from the store
            • Returns a stream consisting of the elements of this stream
            • Returns the size in bytes
            • Extract entry range
            • Returns the value at the given index or an empty Optional if there is no
            • Gets the read field
            • Extract an entry from the store
            • Returns an offset for the given class
            • Gets all primitive fields of the given class
            • Returns a stream starting at the specified index
            • Calculate the number of partitions needed for a given size
            • Observe a callback for the write operation
            • Reverse the stream
            • Read 2m objects from store
            • Setup the store
            • Setup
            • Resets the partition
            • Closes the channel
            • Starts the runner
            • Creates a file channel
            Get all kandi verified functions for this library.

            java-dirty Key Features

            No Key Features are available at this moment for java-dirty.

            java-dirty Examples and Code Snippets

            No Code Snippets are available at this moment for java-dirty.

            Community Discussions

            QUESTION

            Laravel how to "properly" store & retrieve models in a Redis hash
            Asked 2021-Jul-08 at 17:02

            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 17:02

            Short 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:

            1. Select only data you need, not entire models.
            2. 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).
            3. Consider using the toBase() method. This retrieves all data but does not create the Eloquent model, saving precious resources.
            4. 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.

            Source https://stackoverflow.com/questions/68305332

            QUESTION

            Can compacted Kafka topic be used as key-value database?
            Asked 2020-Nov-25 at 01:12

            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 01:12

            Compacted 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:

            1. Do stateful stream processing at scale with Kafka Streams
            2. 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.

            Source https://stackoverflow.com/questions/64996101

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install java-dirty

            You can download it from GitHub, Maven.
            You can use java-dirty like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the java-dirty component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            Support

            java-dirty will only persist primitive fields on objects. All primitive types are currently supported.
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            gh repo clone mrwilson/java-dirty

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            git@github.com:mrwilson/java-dirty.git

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