DataArts Studio DataArts DataService aims to build a unified data service bus for enterprises to centrally manage internal and external API services. DataArts DataService helps you quickly generate data APIs based on data tables and allows you manage the full lifecycle of APIs, covering API publishing, management, and O&M. With DataArts DataService, you can implement microservice aggregation, frontend-backend separation, and system integration, and provide functions and data for partners and developers easily and quickly at a low cost and risk.
DataArts DataService has the following advantages over other data sharing and exchange methods:
DataArts DataService encapsulates data logic into RESTful APIs of a unified standard that can be used to access data. DataArts DataService applies to quick response to the requests for accessing a small amount of data. To open a large amount of data, you are advised to adopt data sharing and exchange or other solutions.
To publish an API or a group of APIs, do as follows:
If you want to use DataArts DataService, you must create a DataArts DataService Exclusive cluster.
Before creating an API, you need to create a reviewer.
You can generate an API. An API can be generated using configuration or a script/MyBatis.
Debug the created API on the management console to check whether it runs properly.
The API can be called only after it is published.
You can manage the published API as needed.
API orchestration allows you to reorganize and reconstruct APIs in a visualized manner based on specific service logic and processes without compiling code. In this way, you can perform secondary development easily without affecting native APIs.
To ensure the stability of backend services, you can perform throttling on the API.
An app defines the identity of an API caller. An API that uses app or IAM authentication must be authorized so that the authentication information for calling the API can be obtained.
To call an API, perform the following operations:
Obtain the API from the service catalog. An API can be called only after it is published.
If you are an API developer and want to call an API which uses app or IAM authentication, you must apply for API authorization.
After completing the preceding steps, you can call the API.
On the Overview page, you can view various monitoring data views. The Overview page displays information about APIs and apps.
Figure 1 API-based data statistics

Category | Metric | Description |
|---|---|---|
Data overview | Published | Number of APIs that have been published |
Developing | Number of APIs that are being developed | |
Applications | Number of apps authorized by published APIs | |
Total calls | Number of calls to the APIs in all clusters over the last seven days (excluding the current day) | |
Successful | Number of successful API calls | |
Failed | Number of failed API calls | |
Valid | Number of valid API calls. Valid API calls refer to the calls that pass the verification. | |
Invalid | Number of invalid API calls. Invalid API calls refer to the calls that fail to pass the verification due to incorrect request parameters. | |
Trend chart | APIs Called | Trend of the number of API calls in one or all clusters during a specified time period.
|
APIs Published | Trend of the number of API publishing times in a specified time period
| |
Top 5 statistics | Top 5 APIs by Call Rate | Top 5 APIs by call rate in one or all clusters during a specified time period
|
Top 5 APIs by Call Duration | Top 5 APIs by call duration in one or all clusters during a specified time period
| |
Top 5 APIs by Call Quantity | Top 5 APIs by the number of calls in one or all clusters during a specified time period. (If an API is authorized to different apps, the number of calls made by those apps to the API is counted together.)
| |
Top 5 by Call Quantity | Top 5 APIs by the number of calls in one or all clusters during a specified time period. (If an API is authorized to different apps, the number of calls made by those apps to the API is counted separately.)
|
Figure 2 App-based data statistics

Category | Metric | Description |
|---|---|---|
Data overview | Completed | Number of apps authorized by all APIs |
Total calls | Number of calls to the APIs (that use app or IAM authentication) in all clusters over the last seven days (excluding the current day) | |
Successful | Number of successful calls to APIs that use app or IAM authentication. | |
Failed | Number of failed calls to APIs that use app or IAM authentication. | |
Valid | Number of valid calls to APIs that use app or IAM authentication. Valid API calls refer to the calls that pass the verification. | |
Invalid | Number of invalid calls to APIs that use app or IAM authentication. Invalid API calls refer to the calls that fail to pass the verification due to incorrect request parameters. | |
Trend chart | APIs Called | Trend of the number of calls to APIs that use app or IAM authentication in all clusters during a specified time period.
|
Top 5 statistics | Top 5 Apps by Call Rate | Top 5 APIs (using app or IAM authentication) by call rate in all clusters during a specified time period
|
Top 5 Apps by Call Duration | Top 5 APIs (using app or IAM authentication) by call duration in all clusters during a specified time period
| |
Top 5 Apps by Call Quantity | Top 5 APIs (using app or IAM authentication) by the number of calls in all clusters during a specified time period. (If an API is authorized to different apps, the number of calls made by those apps to the API is counted together.)
| |
Top 5 by Call Quantity | Top 5 APIs (using app or IAM authentication) by the number of calls in all clusters during a specified time period. (If an API is authorized to different apps, the number of calls made by those apps to the API is counted separately.)
|