Process for Using GaussDB(DWS)

GaussDB(DWS) is an online data processing database that uses the cloud infrastructure to provide scalable, fully-managed, and out-of-the-box analytic database service, freeing you from complex database management and monitoring. It is a native cloud service based on the converged data warehouse GaussDB, and is fully compatible with the standard ANSI SQL 99 and SQL 2003, as well as the PostgreSQL and Oracle ecosystems. GaussDB(DWS) provides competitive solutions for PB-level big data analysis in various industries.

GaussDB(DWS) provides an easy-to-use management console, allowing you to quickly create clusters and easily manage data warehouses.

Process Description

**Figure 1** Process for using GaussDB(DWS)

Figure 1 Process for using GaussDB(DWS)

Table 1 Process description




Operation Instruction

Make preparations.


Before using GaussDB(DWS), select an open port on your firewall as the database port of your data warehouse cluster.


Create a cluster.


Create a cluster before using GaussDB(DWS) to execute data analysis tasks. A GaussDB(DWS) cluster contains nodes in the same subnet. These nodes jointly provide services. During cluster creation, the system creates a default database.

Creating a Cluster

Connect to the cluster.


After the data warehouse cluster is successfully created, use the SQL client tool or a third-party driver such as JDBC or ODBC to connect to the database in the cluster. You can download the SQL client tool and JDBC/ODBC driver on the Client Connections page of the GaussDB(DWS) management console.

Methods of Connecting to a Cluster

Access the database.


After connecting to the cluster, you can create and manage databases, manage users and permissions, import and export data, and query and analyze data.

Data Warehouse Service (DWS) Developer Guide

Manage and monitor the cluster.

Manage the cluster.

View the cluster status, modify cluster configurations, add cluster tags, and scale out, restart, and delete the cluster.

Managing clusters

Manage the snapshot.

Create snapshots to back up and restore the cluster.


Perform O&M and monitoring.

View the running status and performance of the cluster through monitoring, log auditing, event notification, and resource load management.