harmony 鸿蒙Sharing Data via Unified Data Channels

  • 2023-10-30
  • 浏览 (444)

Sharing Data via Unified Data Channels

When to Use

In many-to-many data sharing across applications, a data channel needs to be provided to access data of different applications and share the data with other applications.

The Unified Data Management Framework (UDMF) provides unified data channels and standard data access interfaces for different service scenarios of many-to-many cross-application data sharing.

Definition and Implementation of Unified Data Channels

The unified data channel provides cross-application data access for various service scenarios. It can temporarily store the unified data objects to be shared by an application, and manage the access permissions and lifecycle of the data according to certain policies.

The unified data channel is implemented by the system ability provided by the UDMF. When an application (data provider) needs to share data, it calls the insert() method provided by the UDMF to write the data to the UDMF data channel, and calls UDMF update() or delete() to update or delete the data. After passing the permission verification, the target application (data consumer) calls the UDMF read() to access the data. After the data is read, the UDMF performs lifecycle management of the data.

The unified data object (UnifiedData) is uniquely identified by a URI in the UDMF data channel. The URI is in the udmf://intention/bundleName/*groupId* format, where:

  • udmf: protocol used to provide the data channel.

  • intention: an enum of the data channel types supported by the UDMF.

  • bundleName: bundle name of the data source application.

  • groupId: group ID used for batch data management.

Currently, the UDMF provides the public data channel for cross-application data sharing.

Public data channel: allows applications to write and read data. The corresponding intention is DATA_HUB.

Available APIs

The following table lists the UDMF APIs. All of them are executed asynchronously in callback or promise mode. In the following table, callback-based APIs are used as an example. For more information about the APIs, see Unified Data Channel and Standard Data Definition and Description.

API Description
insertData(options: Options, data: UnifiedData, callback: AsyncCallback<string>): void Inserts data to the UDMF public data channel. A unique data identifier is returned.
updateData(options: Options, data: UnifiedData, callback: AsyncCallback<void>): void Updates the data in the UDMF public data channel.
queryData(options: Options, callback: AsyncCallback<Array<UnifiedData>>): void Queries data in the UDMF public data channel.
deleteData(options: Options, callback: AsyncCallback<Array<UnifiedData>>): void Deletes data from the UDMF public data channel. The deleted data set is returned.

How to Develop

The following example describes how to implement many-to-many data sharing. The data provider writes data to the UMDF public data channel, and updates and deletes the data. The data consumer obtains the data shared by the data provider.

Data Provider

  1. Import the @ohos.data.unifiedDataChannel and @ohos.data.uniformTypeDescriptor modules.
   import unifiedDataChannel from '@ohos.data.unifiedDataChannel';
   import uniformTypeDescriptor from '@ohos.data.uniformTypeDescriptor';
  1. Create a UnifiedData object and insert it into the UDMF public data channel.
   import { BusinessError } from '@ohos.base';
   let plainText = new unifiedDataChannel.PlainText();
   plainText.textContent = 'hello world!';
   let unifiedData = new unifiedDataChannel.UnifiedData(plainText);
   
   // Specify the type of the data channel to which the data is to be inserted.
   let options: unifiedDataChannel.Options = {
     intention: unifiedDataChannel.Intention.DATA_HUB
   }
   try {
     unifiedDataChannel.insertData(options, unifiedData, (err, data) => {
       if (err === undefined) {
         console.info(`Succeeded in inserting data. key = ${data}`);
       } else {
         console.error(`Failed to insert data. code is ${err.code},message is ${err.message} `);
       }
     });
   } catch (e) {
     let error: BusinessError = e as BusinessError;
     console.error(`Insert data throws an exception. code is ${error.code},message is ${error.message} `);
   }
  1. Update the UnifiedData object inserted.
   import { BusinessError } from '@ohos.base';
   let plainText = new unifiedDataChannel.PlainText();
   plainText.textContent = 'How are you!';
   let unifiedData = new unifiedDataChannel.UnifiedData(plainText);
   
   // Specify the URI of the UnifiedData object to update.
   let options: unifiedDataChannel.Options = {
     key: 'udmf://DataHub/com.ohos.test/0123456789'
   };
   
   try {
     unifiedDataChannel.updateData(options, unifiedData, (err) => {
       if (err === undefined) {
         console.info('Succeeded in updating data.');
       } else {
         console.error(`Failed to update data. code is ${err.code},message is ${err.message} `);
       }
     });
   } catch (e) {
     let error: BusinessError = e as BusinessError;
     console.error(`Update data throws an exception. code is ${error.code},message is ${error.message} `);
   }
  1. Delete the UnifiedData object from the UDMF public data channel.
   import { BusinessError } from '@ohos.base';
   // Specify the type of the data channel whose data is to be deleted.
   let options: unifiedDataChannel.Options = {
     intention: unifiedDataChannel.Intention.DATA_HUB
   };

   try {
     unifiedDataChannel.deleteData(options, (err, data) => {
       if (err === undefined) {
         console.info(`Succeeded in deleting data. size = ${data.length}`);
         for (let i = 0; i < data.length; i++) {
           let records = data[i].getRecords();
           for (let j = 0; j < records.length; j++) {
             if (records[j].getType() === uniformTypeDescriptor.UniformDataType.PLAIN_TEXT) {
               let text = records[j] as unifiedDataChannel.PlainText;
               console.info(`${i + 1}.${text.textContent}`);
             }
           }
         }
       } else {
         console.error(`Failed to delete data. code is ${err.code},message is ${err.message} `);
       }
     });
   } catch (e) {
     let error: BusinessError = e as BusinessError;
     console.error(`Delete data throws an exception. code is ${error.code},message is ${error.message} `);
   }

Data Consumer

  1. Import the @ohos.data.unifiedDataChannel and @ohos.data.uniformTypeDescriptor modules.
   import unifiedDataChannel from '@ohos.data.unifiedDataChannel';
   import uniformTypeDescriptor from '@ohos.data.uniformTypeDescriptor';
  1. Query the UnifiedData object in the UDMF public data channel.
   import { BusinessError } from '@ohos.base';
   // Specify the type of the data channel whose data is to be queried.
   let options: unifiedDataChannel.Options = {
     intention: unifiedDataChannel.Intention.DATA_HUB
   };

   try {
     unifiedDataChannel.queryData(options, (err, data) => {
       if (err === undefined) {
         console.info(`Succeeded in querying data. size = ${data.length}`);
         for (let i = 0; i < data.length; i++) {
           let records = data[i].getRecords();
           for (let j = 0; j < records.length; j++) {
             if (records[j].getType() === uniformTypeDescriptor.UniformDataType.PLAIN_TEXT) {
               let text = records[j] as unifiedDataChannel.PlainText;
               console.info(`${i + 1}.${text.textContent}`);
             }
           }
         }
       } else {
         console.error(`Failed to query data. code is ${err.code},message is ${err.message} `);
       }
     });
   } catch(e) {
     let error: BusinessError = e as BusinessError;
     console.error(`Query data throws an exception. code is ${error.code},message is ${error.message} `);
   }

你可能感兴趣的鸿蒙文章

harmony 鸿蒙Data Management

harmony 鸿蒙Access Control by Device and Data Level

harmony 鸿蒙Application Data Persistence Overview

harmony 鸿蒙Database Backup and Restoration

harmony 鸿蒙Database Encryption

harmony 鸿蒙Data Management Overview

harmony 鸿蒙Persisting KV Store Data

harmony 鸿蒙Persisting Preferences Data

harmony 鸿蒙Persisting RDB Store Data

harmony 鸿蒙Data Reliability and Security Overview

0  赞