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我正在寻找适合以通用方式收集实时传感器数据流 的可嵌入 Java 库。我计划使用它来开发一个“集线器”应用程序，用于报告多个不同的传感器流，在基于 JVM 的服务器上运行(也将为此使用 Clojure)。
它需要具备的关键东西:
有什么适合您推荐的资料吗？
最佳答案
<强>1。循环数据库 ( wikipedia )
RRDtool (acronym for round-robin database tool) aims to handle time-series data like network bandwidth, temperatures, CPU load, etc. The data are stored in a round-robin database (circular buffer), thus the system storage footprint remains constant over time.
这种方法/数据库格式被广泛使用，足够稳定和简单。开箱即用，它可以生成漂亮的图:
有 Java 实现 -- RRD4J :
RRD4J is a high performance data logging and graphing system for time series data, implementing RRDTool's functionality in Java. It follows much of the same logic and uses the same data sources, archive types and definitions as RRDTool does. Open Source under Apache 2.0 License.
更新
忘记提及 Clojure RRD API ( examples )。
<强>2。对于一些实时数据的实验，我建议考虑 Perst
它体积小、速度快且足够可靠，但在 GPLv3 下分发。 Perst 提供了几种索引算法:
最后一个很符合你的需求。
<强>3。 Neo4J与 Relationship indexes
A good example where this approach pays dividends is in time series data, where we have readings represented as a relationship per occurrence.
<强>4。 Oracle Berkeley DB Java Edition
Oracle Berkeley DB Java Edition is an open source, embeddable, transactional storage engine written entirely in Java. It takes full advantage of the Java environment to simplify development and deployment. The architecture of Oracle Berkeley DB Java Edition supports very high performance and concurrency for both read-intensive and write-intensive workloads.
建议
尝试RRD4J :
关于用于传感器数据收集的基于 Java 的库，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/14765053/