fix(core): update

This commit is contained in:
Philipp Kunz 2024-06-14 16:56:39 +02:00
parent 92688a7f7f
commit 458da47c9c
6 changed files with 221 additions and 28 deletions

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@ -5,7 +5,7 @@
"githost": "code.foss.global", "githost": "code.foss.global",
"gitscope": "push.rocks", "gitscope": "push.rocks",
"gitrepo": "smartclickhouse", "gitrepo": "smartclickhouse",
"description": "A TypeScript-based ODM (Object-Document Mapper) for ClickHouse databases, with support for creating and managing tables and their data.", "description": "A TypeScript-based ODM (Object-Document Mapper) for ClickHouse databases, with support for creating and managing tables and handling time-series data.",
"npmPackagename": "@push.rocks/smartclickhouse", "npmPackagename": "@push.rocks/smartclickhouse",
"license": "MIT", "license": "MIT",
"projectDomain": "push.rocks", "projectDomain": "push.rocks",
@ -19,7 +19,10 @@
"data management", "data management",
"table management", "table management",
"analytics", "analytics",
"data storage" "data storage",
"time-series data",
"schema management",
"data insertion"
] ]
} }
}, },

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@ -2,7 +2,7 @@
"name": "@push.rocks/smartclickhouse", "name": "@push.rocks/smartclickhouse",
"version": "2.0.15", "version": "2.0.15",
"private": false, "private": false,
"description": "A TypeScript-based ODM (Object-Document Mapper) for ClickHouse databases, with support for creating and managing tables and their data.", "description": "A TypeScript-based ODM (Object-Document Mapper) for ClickHouse databases, with support for creating and managing tables and handling time-series data.",
"main": "dist_ts/index.js", "main": "dist_ts/index.js",
"typings": "dist_ts/index.d.ts", "typings": "dist_ts/index.d.ts",
"type": "module", "type": "module",
@ -58,7 +58,10 @@
"data management", "data management",
"table management", "table management",
"analytics", "analytics",
"data storage" "data storage",
"time-series data",
"schema management",
"data insertion"
], ],
"homepage": "https://code.foss.global/push.rocks/smartclickhouse", "homepage": "https://code.foss.global/push.rocks/smartclickhouse",
"repository": { "repository": {

179
readme.md
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@ -1,5 +1,7 @@
```markdown
# @push.rocks/smartclickhouse # @push.rocks/smartclickhouse
an odm for talking to clickhouse
A TypeScript-based ODM (Object-Document Mapper) for ClickHouse databases, with support for creating and managing tables and their data.
## Install ## Install
@ -19,11 +21,11 @@ This will add the package to your project's dependencies.
## Usage ## Usage
`@push.rocks/smartclickhouse` is an ORM (Object Relational Mapping) module specifically designed for interacting with ClickHouse databases efficiently and effectively. Leveraging TypeScript, it offers strong typing and intelligent code completion, making database operations more intuitive and less error-prone. `@push.rocks/smartclickhouse` is an ODM (Object Document Mapper) module specifically designed for interacting with ClickHouse databases efficiently and effectively. Leveraging TypeScript, it offers strong typing and intelligent code completion, making database operations more intuitive and less error-prone.
### Setting Up and Starting the Connection ### Setting Up and Starting the Connection
First, you need to establish a connection with the ClickHouse database. This involves creating an instance of `SmartClickHouseDb` and starting it: To begin using `@push.rocks/smartclickhouse`, you need to establish a connection with the ClickHouse database. This involves creating an instance of `SmartClickHouseDb` and starting it:
```typescript ```typescript
import { SmartClickHouseDb } from '@push.rocks/smartclickhouse'; import { SmartClickHouseDb } from '@push.rocks/smartclickhouse';
@ -31,7 +33,7 @@ import { SmartClickHouseDb } from '@push.rocks/smartclickhouse';
// Create a new instance of SmartClickHouseDb with your ClickHouse database details // Create a new instance of SmartClickHouseDb with your ClickHouse database details
const dbInstance = new SmartClickHouseDb({ const dbInstance = new SmartClickHouseDb({
url: 'http://localhost:8123', // URL of ClickHouse instance url: 'http://localhost:8123', // URL of ClickHouse instance
database: 'yourDatabase', // Database name you want to connect database: 'yourDatabase', // Database name you want to connect to
username: 'default', // Optional: Username for authentication username: 'default', // Optional: Username for authentication
password: 'password', // Optional: Password for authentication password: 'password', // Optional: Password for authentication
unref: true // Optional: Allows service to exit while awaiting database startup unref: true // Optional: Allows service to exit while awaiting database startup
@ -67,26 +69,175 @@ await table.addData({
}); });
``` ```
`addData` method is designed to be flexible, allowing insertion of various data types and automatically managing table schema adjustments. The `addData` method is designed to be flexible, allowing insertion of various data types and automatically managing table schema adjustments.
### Advanced Usage and Custom Data Handling ### Advanced Usage and Custom Data Handling
`smartclickhouse` supports custom data types and complex data structures. For instance, to add support for nested objects or custom data processing before insertion, you might need to extend existing classes or contribute to module development for broader use cases. `smartclickhouse` supports custom data types and complex data structures. For instance, to add support for nested objects or custom data processing before insertion, you might need to extend existing classes or contribute to the module development for broader use cases.
### Complete Feature Set Overview #### Custom Data Processing
While the above examples cover basic usage, `@push.rocks/smartclickhouse` offers a wide range of functionalities, including but not limited to: To handle complex data structures or to perform custom data processing before insertion, you might need to modify the `addData` method. Below is an example of extending the `SmartClickHouseDb` method:
- Robust error handling and reconnection strategies ```typescript
- Efficient bulk data insertion mechanisms class CustomClickHouseDb extends SmartClickHouseDb {
- Support for ClickHouse specific features like materialized views and aggregating MergeTree engines public async addCustomData(tableName: string, data: any) {
- Techniques for managing and querying large time-series datasets const table = await this.getTable(tableName);
const customData = {
...data,
processedAt: Date.now(),
customField: 'customValue',
};
await table.addData(customData);
}
}
For a comprehensive guide on leveraging all `@push.rocks/smartclickhouse` features, consult the module documentation and examples. Engage with the community for tips on advanced use cases and optimization strategies for handling time-series data with ClickHouse. const customDbInstance = new CustomClickHouseDb({
url: 'http://localhost:8123',
database: 'yourDatabase',
});
await customDbInstance.start();
await customDbInstance.addCustomData('customTable', {
message: 'Test message',
randomField: 123456,
});
```
### Bulk Data Insertion
`@push.rocks/smartclickhouse` supports efficient bulk data insertion mechanisms. This feature is useful when you need to insert a large amount of data in a single operation.
```typescript
const bulkData = [
{ timestamp: Date.now(), message: 'Message 1', temperature: 20.1 },
{ timestamp: Date.now(), message: 'Message 2', temperature: 21.2 },
// Additional data entries...
];
await table.addData(bulkData);
```
### Querying Data
Fetching data from the ClickHouse database includes operations such as retrieving the latest entries, entries within a specific timestamp range, or streaming new entries.
#### Retrieving the Last N Entries
To retrieve the last `N` number of entries:
```typescript
const latestEntries = await table.getLastEntries(10);
console.log('Latest Entries:', latestEntries);
```
#### Retrieving Entries Newer than a Specific Timestamp
To retrieve entries that are newer than a specific timestamp:
```typescript
const timestamp = Date.now() - 60000; // 1 minute ago
const newEntries = await table.getEntriesNewerThan(timestamp);
console.log('New Entries:', newEntries);
```
#### Retrieving Entries Between Two Timestamps
To retrieve entries between two timestamps:
```typescript
const startTimestamp = Date.now() - 120000; // 2 minutes ago
const endTimestamp = Date.now() - 5000; // 5 seconds ago
const entriesBetween = await table.getEntriesBetween(startTimestamp, endTimestamp);
console.log('Entries Between:', entriesBetween);
```
### Managing and Deleting Data
The module provides functionality for managing and deleting data within the ClickHouse database.
#### Deleting Old Entries
You can delete entries older than a specified number of days:
```typescript
// Ensure there are entries before deletion
let entries = await table.getLastEntries(1000);
console.log('Entries before deletion:', entries.length);
// Delete all entries older than now
await table.deleteOldEntries(0);
// Verify the entries are deleted
entries = await table.getLastEntries(1000);
console.log('Entries after deletion:', entries.length);
```
#### Deleting the Entire Table
To delete the entire table and all its data:
```typescript
await table.delete();
// Verify table deletion
const result = await dbInstance.clickhouseHttpClient.queryPromise(`
SHOW TABLES FROM ${dbInstance.options.database} LIKE '${table.options.tableName}'
`);
console.log('Table exists after deletion:', result.length === 0);
```
### Observing Real-Time Data
To observe new entries in real-time, you can stream new data entries using the RxJS Observable:
```typescript
const stream = table.streamNewEntries();
const subscription = stream.subscribe((entry) => {
console.log('New entry:', entry);
});
// Simulate adding new entries
let i = 0;
while (i < 10) {
await table.addData({
timestamp: Date.now(),
message: `streaming message ${i}`,
});
i++;
await new Promise((resolve) => setTimeout(resolve, 1000)); // Add a delay to simulate real-time data insertion
}
subscription.unsubscribe();
```
This method allows continuous monitoring of data changes and integrating the collected data into other systems for real-time applications.
### Comprehensive Feature Set
While the examples provided cover the core functionalities of the `@push.rocks/smartclickhouse` module, it also offers a wide range of additional features, including:
- **Error Handling and Reconnection Strategies**: Robust error handling mechanisms ensure your application remains reliable. Automatic reconnection strategies help maintain persistent connections with the ClickHouse database.
- **Materialized Views and MergeTree Engines**: Support for ClickHouse-specific features such as materialized views and aggregating MergeTree engines, enhancing the module's capabilities in handling large-scale data queries and management.
- **Efficient Data Handling**: Techniques for managing and querying large time-series datasets, providing optimal performance and reliability.
### Contribution ### Contribution
Contributions to `@push.rocks/smartclickhouse` are welcome. Whether it's through submitting issues, proposing improvements, or adding to the codebase, your input is valuable. The project is designed to be open and accessible, striving for a high-quality, community-driven development process. Contributions to `@push.rocks/smartclickhouse` are welcome. Whether through submitting issues, proposing improvements, or adding to the codebase, your input is valuable. The project is designed to be open and accessible, striving for a high-quality, community-driven development process.
To contribute:
1. Fork the repository.
2. Create a new branch (`git checkout -b feature-branch`).
3. Commit your changes (`git commit -am 'Add some feature'`).
4. Push to the branch (`git push origin feature-branch`).
5. Create a new Pull Request.
The above scenarios cover the essential functionality and the more advanced use cases of `@push.rocks/smartclickhouse`, providing a comprehensive guide to utilizing the module into your projects. Happy coding!
```
## License and Legal Information ## License and Legal Information

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@ -16,7 +16,7 @@ tap.test('should start the clickhouse db', async () => {
await testClickhouseDb.start(true); await testClickhouseDb.start(true);
}); });
tap.test('should create a timedatatable', async (toolsArg) => { tap.test('should create a timedatatable', async () => {
table = await testClickhouseDb.getTable('analytics'); table = await testClickhouseDb.getTable('analytics');
let i = 0; let i = 0;
while (i < 1000) { while (i < 1000) {
@ -49,19 +49,37 @@ tap.test('should retrieve entries newer than a specific timestamp', async () =>
tap.test('should retrieve entries between two timestamps', async () => { tap.test('should retrieve entries between two timestamps', async () => {
const startTimestamp = Date.now() - 120000; // 2 minutes ago const startTimestamp = Date.now() - 120000; // 2 minutes ago
const endTimestamp = Date.now() - 60000; // 1 minute ago const endTimestamp = Date.now() - 5000; // 5 seconds ago
const entries = await table.getEntriesBetween(startTimestamp, endTimestamp); const entries = await table.getEntriesBetween(startTimestamp, endTimestamp);
expect(entries.length).toBeGreaterThan(0);
console.log(entries); console.log(entries);
}); });
tap.test('should delete old entries', async () => { tap.test('should delete old entries', async (toolsArg) => {
// Ensure there are entries before deletion
let entries = await table.getLastEntries(1000);
expect(entries.length).toBeGreaterThan(100);
console.log('Entries before deletion:', entries.length);
await table.deleteOldEntries(0); // Delete all entries older than now await table.deleteOldEntries(0); // Delete all entries older than now
const entries = await table.getLastEntries(10); // Add a delay to ensure the delete operation completes
expect(entries.length).toEqual(0); await new Promise(resolve => setTimeout(resolve, 5000));
// Verify the entries are deleted
entries = await table.getLastEntries(1000);
console.log('Entries after deletion:', entries.length);
expect(entries.length).toBeLessThan(100);
await toolsArg.delayFor(5000);
}); });
tap.test('should delete the table', async () => { tap.test('should delete the table', async () => {
await table.delete(); await table.delete();
// Verify table deletion
const result = await testClickhouseDb.clickhouseHttpClient.queryPromise(`
SHOW TABLES FROM ${testClickhouseDb.options.database} LIKE '${table.options.tableName}'
`);
console.log('Table exists after deletion:', result);
expect(result.length).toEqual(0);
}); });
tap.test('should stream new entries', async (toolsArg) => { tap.test('should stream new entries', async (toolsArg) => {

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@ -3,6 +3,6 @@
*/ */
export const commitinfo = { export const commitinfo = {
name: '@push.rocks/smartclickhouse', name: '@push.rocks/smartclickhouse',
version: '2.0.15', version: '2.0.16',
description: 'A TypeScript-based ODM (Object-Document Mapper) for ClickHouse databases, with support for creating and managing tables and their data.' description: 'A TypeScript-based ODM (Object-Document Mapper) for ClickHouse databases, with support for creating and managing tables and handling time-series data.'
} }

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@ -213,10 +213,28 @@ export class TimeDataTable {
* @param days number of days * @param days number of days
*/ */
public async deleteOldEntries(days: number) { public async deleteOldEntries(days: number) {
// Perform the deletion operation
await this.smartClickHouseDbRef.clickhouseHttpClient.queryPromise(` await this.smartClickHouseDbRef.clickhouseHttpClient.queryPromise(`
ALTER TABLE ${this.smartClickHouseDbRef.options.database}.${this.options.tableName} ALTER TABLE ${this.smartClickHouseDbRef.options.database}.${this.options.tableName}
DELETE WHERE timestamp < now() - INTERVAL ${days} DAY DELETE WHERE timestamp < now() - INTERVAL ${days} DAY
`); `);
await this.waitForMutations();
}
public async waitForMutations() {
// Wait for the mutation to complete
let mutations;
do {
mutations = await this.smartClickHouseDbRef.clickhouseHttpClient.queryPromise(`
SELECT count() AS mutations_count FROM system.mutations
WHERE is_done = 0 AND table = '${this.options.tableName}'
`);
if (mutations[0] && mutations[0].mutations_count > 0) {
console.log('Waiting for mutations to complete...');
await new Promise((resolve) => setTimeout(resolve, 1000));
}
} while (mutations[0] && mutations[0].mutations_count > 0);
} }
public async getLastEntries(count: number) { public async getLastEntries(count: number) {