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Hive is an open-source data warehouse tool from Apache, built on Hadoop, designed to handle large-scale structured data. This product is based on the Huawei Cloud EulerOS 2.0 64-bit system running on Kunpeng servers, offering an out-of-the-box Hive data warehouse.
- SQL-like Queries: Supports standard DDL and DML statements, as well as aggregate functions. You can perform data analysis without writing complex MapReduce code.
- Execution Engines: Can be configured to use computing frameworks such as MapReduce, Spark, and Tez to improve processing efficiency.
- Metadata Management: Stores metadata in a relational database (e.g., MySQL) to speed up the query semantic checking process.
The open-source image product Hive Data Warehouse provided by this project comes pre-installed with Hive version 3.1.3 and its related runtime environment, along with deployment templates. Refer to the usage guide and start your efficient "out-of-the-box" experience now!
System Requirements:
- CPU: 2 vCPUs or higher
- RAM: 4GB or more
- Disk: At least 40GB
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| Image Specification | Feature Description | Remarks |
|---|---|---|
| hive-3.1.3-kunpeng | Installed and deployed on Kunpeng servers with Huawei Cloud EulerOS 2.0 64-bit |
- For more questions, you can contact us via issues or the service support of the specified product in the Huawei Cloud Marketplace.
- Check out other open-source images at open-source-image-repos
- Fork this repository and submit a merge request.
- Update the README.md based on your open-source image information.