How to implement real-time logistics tracking function of data in MongoDB

How to implement real-time logistics tracking function of data in MongoDB

Logistics tracking is an important link in supply chain management. By tracking the location and status of goods in real time, we can Help enterprises accurately grasp the flow of goods and improve logistics efficiency. In actual logistics management, MongoDB, as an efficient non-relational database, can provide good support for real-time logistics tracking. This article will introduce how to implement the real-time logistics tracking function of data in MongoDB and provide specific code examples.

1. Data model design

In MongoDB, we can design a collection to store logistics information. Each logistics information can include attributes such as cargo ID, starting point, destination point, estimated arrival time, actual arrival time, etc. At the same time, a unique tracking code (Tracking Code) can be added to each logistics information to identify the logistics information. In this way, we can query and track logistics information through the tracking code.

The following is an example logistics information document structure:

{
"_id": ObjectId("5f8d07ea0c78f7a8e4070b68"),
"trackingCode": "ABC123",
"cargoId": "C01",
"origin": "Shanghai",
"destination": "Beijing",
"estimatedArrivalTime": ISODate("2020-10-20T10:00:00Z "),
"actualArrivalTime": ISODate("2020-10-19T11:30:00Z"),
"status": "Delivered"
}

2. Real-time data Update

In order to realize the real-time logistics tracking function, we need to update the logistics information in MongoDB in real time. A common implementation is to use MongoDB's Change Streams feature. Through Change Streams, we can monitor changes in collections and obtain updated data in real time.

The following is an example Change Streams code:

const { MongoClient } = require('mongodb');

async function trackLogistics() {
const uri = "mongodb://localhost:27017";
const client = new MongoClient(uri);

try {

await client.connect();

const pipeline = [
  { $match: { 'fullDocument.status': 'Delivered' } }
];

const changeStream = client.db('logistics').collection('shipments')
  .watch(pipeline);

changeStream.on('change', (change) => {
  const trackingCode = change.fullDocument.trackingCode;
  const status = change.fullDocument.status;

  console.log(`物流追踪码：${trackingCode}，状态：${status}`);
});

await new Promise((resolve) => setTimeout(resolve, Infinity));

} finally {

await client.close();

}
}

trackLogistics().catch(console.error);

The above code monitors changes in logistics information and filters out logistics information with a status of "Delivered". Whenever a new logistics information status is updated to "Delivered", the tracking code and status will be printed. In this way, we can track changes in logistics information in real time.

3. Logistics information query

In addition to the real-time tracking function, we can also query specific logistics information based on the tracking code. The following is an example query code:

const { MongoClient } = require('mongodb');

async function queryLogistics(trackingCode) {
const uri = "mongodb:// localhost:27017";
const client = new MongoClient(uri);

try {

await client.connect();

const logistics = client.db('logistics').collection('shipments');

const result = await logistics.findOne({ trackingCode });

console.log(result);

} finally {

await client.close();

}
}

queryLogistics('ABC123').catch(console.error);

By calling the queryLogistics function and passing in the tracking code, we can query the logistics information corresponding to the tracking code.

Through the above code examples, we can implement the real-time logistics tracking function of data in MongoDB. By designing appropriate data models, real-time data updates and logistics information query operations, we can flexibly respond to various logistics scenarios and improve the efficiency and accuracy of logistics management.

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