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PHP implements open source Storm distributed computing

Jun 18, 2023 pm 11:04 PM
php Distributed Computing storm

With the continuous expansion of Internet business, the demand for data processing is getting higher and higher. Traditional stand-alone computing can no longer meet the current needs. Distributed computing has been widely used because of its horizontal expansion capabilities. The Storm distributed computing framework based on the Java language is widely used in the field of distributed real-time computing. However, for some small projects or individuals, deploying and using the Java environment is relatively complicated. Therefore, this article will use the PHP language to implement it. Open source Storm distributed computing.

  1. Introduction to Storm

Storm is a free, open source, distributed real-time computing system developed by Twitter and open sourced in September 2013. Storm has the following advantages:

(1) Fault tolerance: Storm’s architecture is based on zookeeper and Nimbus components, which can automatically detect component failures and restart, reducing the possibility of system problems due to single point failures. Performance;

(2) Scalability: Storm uses a flow-based model for calculation, which can theoretically be infinitely expanded to meet computing needs of different scales;

(3) Efficiency: Storm has efficient processing capabilities and low latency, which can meet the needs of real-time computing.

  1. The necessity of PHP to implement Storm distributed computing

Although Storm has powerful functions and excellent performance, the deployment and use of Storm require the support of the Java environment , For some small projects or individuals, there is still a certain threshold for deploying and using the Java environment, causing certain difficulties.

As a widely used Web language, PHP is relatively simple to deploy and use, and can easily build Web servers and develop Web applications. Therefore, if Storm distributed computing can be implemented in the PHP environment, This can reduce development costs and improve development efficiency.

  1. How to implement Storm distributed computing in PHP

To implement Storm distributed computing in a PHP environment, you need to implement the following two functions:

( 1) Message passing mechanism: Storm uses Tuple for data transmission, so the Tuple delivery mechanism needs to be implemented;

(2) Distributed computing: Spout (data source) and Bolt (data processor) components need to be implemented Calculation logic, as well as the construction and execution of Topology (process).

In response to the above two points, this article proposes the following implementation plan:

(1) Message passing mechanism

The PHP language itself does not support the Tuple delivery mechanism, so some implemented using third-party components. Currently popular components include ZeroMQ and Apache Thrift. Just choose one of them.

(2) Distributed computing

The calculation logic for Spout, Bolt and Topology can be implemented using PHP language. The specific implementation is as follows:

(i) Spout: The data source in Storm is responsible for reading data from external systems and encapsulating it into Tuple. You can use PHP for development, send requests to external data sources through third-party components and obtain data, then encapsulate the obtained data into Tuple, and then send it to the processor through components such as ZeroMQ or Apache Thrift.

(ii) Bolt: The data processor is responsible for processing data in Storm and issuing new Tuples to the downstream. You can use PHP for development, process the Tuple after receiving it, and encapsulate the processing result into a new Tuple, and then send it to the next processor or final processor through components such as ZeroMQ or Apache Thrift.

(iii) Topology: The process controller is responsible for assembling Spouts and Bolts in Storm and controlling data flow. PHP can be used for development to implement the topology of Spout and Bolt, and perform process control, including scheduled Tuple emission, Tuple grouping and sorting, fault recovery, etc.

  1. Conclusion

PHP's implementation of Storm distributed computing can reduce development costs and improve development efficiency, and provides a way for small projects or individuals who need to implement distributed real-time computing New options. Although the PHP language itself has relatively weak support for distributed computing, by using third-party components, the message passing mechanism can be implemented, and by writing PHP code to implement the calculation logic of Spout, Bolt and Topology, Storm distributed computing can be easily implemented .

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