How to Quickly Import 1 Million Data into the Database
In the process of data management, data import is a relatively troublesome link, especially when the data volume is large and the data types are complex. It is necessary to consider issues such as the integrity, accuracy, and consistency of the data after it is imported into the database. At the same time, the data import process will also involve operations such as data format conversion and data screening, which require professional tools to achieve.
NineData provides powerful data import functions to help users easily import a large amount of data from files into the target database while ensuring data integrity and accuracy.
Feature Introduction
NineData's data import function can help users import files containing a large amount of data into the target database. The specific details of the function are as follows:
Supported import types and corresponding file formats:
| Import Type | File Format |
|---|---|
| SQL | ZIP, SQL, TXT |
| CSV | ZIP, CSV |
| EXCEL | ZIP, XLS, XLSX |
The import of CSV and EXCEL type files supports advanced custom settings such as table headers, field mapping, delimiters, and import modes.
Operation Example
Log in to the NineData console and click on Database DevOps > Data Import.
Create a data import and configure the task according to the table (task name, data source/database, import type, upload file, executor, etc.), and after saving, jump to the task details page.
The import task starts automatically and waits for the system to complete the execution.
tipThe above operation process provides a very direct data import solution. At the same time, the enterprise version of NineData also provides enterprise collaboration capabilities, bringing a task review process to the data import function. Users need to wait for the review to be completed before they can execute the import task, which enhances the security of enterprise data.
Application Scenarios
NineData's data import function can play an important role in the following scenarios:
- Importing data from external sources: In scenarios where enterprises need to obtain data from external sources, NineData's data import function can help users import this external data into the target database for subsequent processing and management. For example, some e-commerce platforms need to import product data from the supplier's system, and NineData's data import function can help them quickly import the data into the database.
- Data initialization: When creating a new database or resetting the database structure, it is necessary to import initial data into the database. NineData's data import function can help users import initial data from files into the target database to quickly initialize the database.
- Large-scale data updates: Scenarios that require large-scale data updates in the database.
- Example 1: Enterprises need to import a large amount of platform order data into the enterprise database for easy storage and analysis.
- Example 2: Enterprises need to delete or merge duplicate or invalid data, or need to format or convert the data.
- Example 3: Enterprises need to batch update product prices, inventory, or other key business data.
- Example 4: Enterprises need to update the timestamp or format of the data for fault handling.