English | Simplified Chinese
Presto is an open-source distributed SQL query engine developed and open-sourced by Facebook (now Meta) in 2012. It is designed to solve the problem of interactive analysis of large-scale data. It is not limited to specific data sources and can execute SQL queries across multiple storage systems, supporting fast analysis of PB-level data. It is widely used in data warehouses, data analysis, and interactive query scenarios. This product provides out-of-the-box Presto based on the Huawei Cloud EulerOS 2.0 64-bit system of Kunpeng servers.
- Cross-source Query: A unified SQL entry to query multiple data sources such as Hive data warehouses, MySQL business databases, Kafka real-time streams, and S3 object storage.
- Fast Query: Based on the "in-memory computing + parallel execution" architecture, it optimizes interactive queries of PB-level data (such as BI analysis, adhoc exploration).
- Lock-free Computing: It does not rely on data preprocessing and directly reads original data formats (such as Parquet, ORC, JSON), reducing the complexity of the data link.
The open-source image product Presto Distributed SQL Query Tool provided by this project has pre-installed Presto version 0.294 and its related operating environment, and provides deployment templates. Follow the user guide to easily start an efficient "out-of-the-box" experience.
System requirements are as follows:
- CPU: 2vCPUs or higher
- RAM: 4GB or larger
- Disk: At least 40GB
Register a Huawei account and activate Huawei Cloud
Image Specification | Feature Description | Remarks |
---|---|---|
Presto-0.294-kunpeng | Installed and deployed based on Kunpeng server + Huawei Cloud EulerOS 2.0 64bit |
- For more questions, you can contact us through issue or the service support of the specified product in the Huawei Cloud Market
- For other open-source images, please refer to open-source-image-repos
- Fork this repository and submit a pull request
- Synchronously update README.md based on your open-source image information