Persisting RDB Store Data

When to Use

A relational database (RDB) store is used to store data in complex relational models, such as the student information including names, student IDs, and scores of each subject, or employee information including names, employee IDs, and positions, based on SQLite. The data is more complex than key-value (KV) pairs due to strict mappings. You can use RelationalStore to implement persistence of this type of data.

Basic Concepts

  • Predicates: A representation of the property or feature of a data entity, or the relationship between data entities. It is used to define operation conditions.

  • ResultSet: a set of query results, which allows access to the required data in flexible modes.

Working Principles

RelationalStore provides APIs for applications to perform data operations. With SQLite as the underlying persistent storage engine, RelationalStore provides SQLite database features, including transactions, indexes, views, triggers, foreign keys, parameterized queries, prepared SQL statements, and more.

Figure 1 Working mechanism

relationStore_local

Constraints

  • The default logging mode is Write Ahead Log (WAL), and the default flushing mode is FULL mode.

  • An RDB store can be connected to a maximum of four connection pools for user read operations.

  • To ensure data accuracy, only one write operation is allowed at a time.

  • Once an application is uninstalled, related database files and temporary files on the device are automatically deleted.

Available APIs

The following table lists the APIs used for RDB data persistence. Most of the APIs are executed asynchronously, using a callback or promise to return the result. The following table uses the callback-based APIs as an example. For more information about the APIs, see RDB Store.

API Description
getRdbStore(context: Context, config: StoreConfig, callback: AsyncCallback<RdbStore>): void Obtains a RdbStore instance to implement RDB store operations. You can set RdbStore parameters based on actual requirements and use RdbStore APIs to perform data operations.
executeSql(sql: string, bindArgs: Array<ValueType>, callback: AsyncCallback<void>):void Executes an SQL statement that contains specified arguments but returns no value.
insert(table: string, values: ValuesBucket, callback: AsyncCallback<number>):void Inserts a row of data into a table.
update(values: ValuesBucket, predicates: RdbPredicates, callback: AsyncCallback<number>):void Updates data in the RDB store based on the specified RdbPredicates instance.
delete(predicates: RdbPredicates, callback: AsyncCallback<number>):void Deletes data from the RDB store based on the specified RdbPredicates instance.
query(predicates: RdbPredicates, columns: Array<string>, callback: AsyncCallback<ResultSet>):void Queries data in the RDB store based on specified conditions.
deleteRdbStore(context: Context, name: string, callback: AsyncCallback<void>): void Deletes an RDB store.

How to Develop

  1. Obtain an RdbStore instance.
    Example:

    Stage model:

    import relationalStore from '@ohos.data.relationalStore'; // Import the module.
    import UIAbility from '@ohos.app.ability.UIAbility';
    
    class EntryAbility extends UIAbility {
      onWindowStageCreate(windowStage) {
        const STORE_CONFIG = {
          name: 'RdbTest.db', // Database file name.
          securityLevel: relationalStore.SecurityLevel.S1 // Database security level.
        };
    
        const SQL_CREATE_TABLE ='CREATE TABLE IF NOT EXISTS EMPLOYEE (ID INTEGER PRIMARY KEY AUTOINCREMENT, NAME TEXT NOT NULL, AGE INTEGER, SALARY REAL, CODES BLOB)'; // SQL statement for creating a data table.
    
        relationalStore.getRdbStore(this.context, STORE_CONFIG, (err, store) => {
          if (err) {
            console.error(`Failed to get RdbStore. Code:${err.code}, message:${err.message}`);
            return;
          }
          console.info(`Succeeded in getting RdbStore.`);
          store.executeSql(SQL_CREATE_TABLE); // Create a data table.
    
          // Perform operations such as adding, deleting, modifying, and querying data in the RDB store.
    
        });
      }
    }
    

    FA model:

    import relationalStore from '@ohos.data.relationalStore'; // Import the module.
    import featureAbility from '@ohos.ability.featureAbility';
    
    // Obtain the context.
    let context = featureAbility.getContext();
    
    const STORE_CONFIG = {
      name: 'RdbTest.db', // Database file name.
      securityLevel: relationalStore.SecurityLevel.S1 // Database security level.
    };
    
    const SQL_CREATE_TABLE ='CREATE TABLE IF NOT EXISTS EMPLOYEE (ID INTEGER PRIMARY KEY AUTOINCREMENT, NAME TEXT NOT NULL, AGE INTEGER, SALARY REAL, CODES BLOB)'; // SQL statement for creating a data table.
    
    relationalStore.getRdbStore(context, STORE_CONFIG, (err, store) => {
      if (err) {
        console.error(`Failed to get RdbStore. Code:${err.code}, message:${err.message}`);
        return;
      }
      console.info(`Succeeded in getting RdbStore.`);
      store.executeSql(SQL_CREATE_TABLE); // Create a data table.
    
      // Perform operations such as adding, deleting, modifying, and querying data in the RDB store.
    
    });
    

    NOTE

    • The RDB store created by an application varies with the context. Multiple RDB stores are created for the same database name with different application contexts. For example, each UIAbility has its own context.

    • When an application calls getRdbStore() to obtain an RDB store instance for the first time, the corresponding database file is generated in the application sandbox. If you want to move the files of an RDB store to another place for view, you must also move the temporary files with finename extensions -wal or -shm in the same directory. Once an application is uninstalled, the database files and temporary files generated by the application on the device are also removed.

  2. Use insert() to insert data to the RDB store.

    Example:

    const valueBucket = {
      'NAME': 'Lisa',
      'AGE': 18,
      'SALARY': 100.5,
      'CODES': new Uint8Array([1, 2, 3, 4, 5])
    };
    store.insert('EMPLOYEE', valueBucket, (err, rowId) => {
      if (err) {
        console.error(`Failed to insert data. Code:${err.code}, message:${err.message}`);
        return;
      }
      console.info(`Succeeded in inserting data. rowId:${rowId}`);
    

})


> **NOTE**
>
> **RelationalStore** does not provide explicit flush operations for data persistence. Data inserted by **insert()** is stored in files persistently.

3. Modify or delete data based on the specified **Predicates** instance.

Use **update()** to modify data and **delete()** to delete data. 

Example:

```js
// Modify data.
const valueBucket = {
  'NAME': 'Rose',
  'AGE': 22,
  'SALARY': 200.5,
  'CODES': new Uint8Array([1, 2, 3, 4, 5])
};
let predicates = new relationalStore.RdbPredicates('EMPLOYEE'); // Create predicates for the table named EMPLOYEE.
predicates.equalTo('NAME', 'Lisa'); // Modify the data of Lisa in the EMPLOYEE table to the specified data.
store.update(valueBucket, predicates, (err, rows) => {
  if (err) {
    console.error(`Failed to update data. Code:${err.code}, message:${err.message}`);
    return;
  }
  console.info(`Succeeded in updating data. row count: ${rows}`);
})

// Delete data.
let predicates = new relationalStore.RdbPredicates('EMPLOYEE');
predicates.equalTo('NAME', 'Lisa');
store.delete(predicates, (err, rows) => {
  if (err) {
    console.error(`Failed to delete data. Code:${err.code}, message:${err.message}`);
    return;
  }
  console.info(`Delete rows: ${rows}`);
})
  1. Query data based on the conditions specified by Predicates.

    Use query() to query data. The data obtained is returned in a ResultSet object.

    Example:

    let predicates = new relationalStore.RdbPredicates('EMPLOYEE');
    predicates.equalTo('NAME', 'Rose');
    store.query(predicates, ['ID', 'NAME', 'AGE', 'SALARY', 'CODES'], (err, resultSet) => {
      if (err) {
        console.error(`Failed to query data. Code:${err.code}, message:${err.message}`);
        return;
      }
      console.info(`ResultSet column names: ${resultSet.columnNames}`);
      console.info(`ResultSet column count: ${resultSet.columnCount}`);
    })
    

    NOTE

    Use close() to close the ResultSet that is no longer used in a timely manner so that the memory allocated can be released.

  2. Delete the RDB store.

    Use deleteRdbStore() to delete the RDB store and related database files.

    Example:

    Stage model:

    import UIAbility from '@ohos.app.ability.UIAbility';
    
    class EntryAbility extends UIAbility {
      onWindowStageCreate(windowStage) {
        relationalStore.deleteRdbStore(this.context, 'RdbTest.db', (err) => {
          if (err) {
            console.error(`Failed to delete RdbStore. Code:${err.code}, message:${err.message}`);
            return;
          }
          console.info('Succeeded in deleting RdbStore.');
        });
      }
    }
    

    FA model:

    import featureAbility from '@ohos.ability.featureAbility';
    
    // Obtain the context.
    let context = featureAbility.getContext();
    
    relationalStore.deleteRdbStore(context, 'RdbTest.db', (err) => {
      if (err) {
        console.error(`Failed to delete RdbStore. Code:${err.code}, message:${err.message}`);
        return;
      }
      console.info('Succeeded in deleting RdbStore.');
    });