title | summary |
---|---|
Data App Configuration Files |
This document describes the configuration files of Data App in TiDB Cloud. |
This document describes the configuration files of a Data App in TiDB Cloud.
If you have connected your Data App to GitHub, you can find the configuration files of your Data App in your specified directory on GitHub as follows:
├── <Your Data App directory>
│ ├── data_sources
│ │ └── cluster.json
│ ├── dataapp_config.json
│ ├── http_endpoints
│ │ ├── config.json
│ │ └── sql
│ │ ├── <method>-<endpoint-path1>.sql
│ │ ├── <method>-<endpoint-path2>.sql
│ │ └── <method>-<endpoint-path3>.sql
The data source of a Data App comes from its linked TiDB clusters. You can find the data source configuration in data_sources/cluster.json
.
├── <Your Data App directory>
│ ├── data_sources
│ │ └── cluster.json
For each Data App, you can link to one or multiple TiDB clusters.
The following is an example configuration of cluster.json
. In this example, there are two linked clusters for this Data App.
[
{
"cluster_id": <Cluster ID1>
},
{
"cluster_id": <Cluster ID2>
}
]
The field description is as follows:
Field | Type | Description |
---|---|---|
cluster_id |
Integer | The ID of your TiDB cluster. You can get it from the URL of your cluster. For example, if your cluster URL is https://tidbcloud.com/console/clusters/1234567891234567890/overview , your cluster ID is 1234567891234567890 . |
The properties of a Data App contain the App ID, name, and type. You can find the properties in the dataapp_config.json
file.
├── <Your Data App directory>
│ ├── dataapp_config.json
The following is an example configuration of dataapp_config.json
.
{
"app_id": "<Data App ID>",
"app_name": "<Data App name>",
"app_type": "dataapi",
"app_version": "<Data App version>",
"description": "<Data App description>"
}
The description of each field is as follows:
Field | Type | Description |
---|---|---|
app_id |
String | The Data App ID. Do not change this field unless your dataapp_config.json file is copied from another Data App and you want to update it to the ID of your current Data App. Otherwise, the deployment triggered by this modification will fail. |
app_name |
String | The Data App name. |
app_type |
String | The Data App type, which can only be "dataapi" . |
app_version |
String | The Data App version, which is in the "<major>.<minor>.<patch>" format. For example, "1.0.0" . |
description |
String | The Data App description. |
In your Data App directory, you can find endpoint configurations in http_endpoints/config.json
and the SQL files in http_endpoints/sql/<method>-<endpoint-name>.sql
.
├── <Your Data App directory>
│ ├── http_endpoints
│ │ ├── config.json
│ │ └── sql
│ │ ├── <method>-<endpoint-path1>.sql
│ │ ├── <method>-<endpoint-path2>.sql
│ │ └── <method>-<endpoint-path3>.sql
For each Data App, there can be one or multiple endpoints. You can find the configurations of all endpoints for a Data App in http_endpoints/config.json
.
The following is an example configuration of config.json
. In this example, there are two endpoints for this Data App.
[
{
"name": "<Endpoint name1>",
"description": "<Endpoint description1>",
"method": "<HTTP method1>",
"endpoint": "<Endpoint path1>",
"data_source": {
"cluster_id": <Cluster ID1>
},
"params": [],
"settings": {
"timeout": <Endpoint timeout>,
"row_limit": <Maximum rows>,
"enable_pagination": <0 | 1>,
"cache_enabled": <0 | 1>,
"cache_ttl": <time-to-live period>
},
"tag": "Default",
"batch_operation": <0 | 1>,
"sql_file": "<SQL file directory1>",
"type": "sql_endpoint",
"return_type": "json"
},
{
"name": "<Endpoint name2>",
"description": "<Endpoint description2>",
"method": "<HTTP method2>",
"endpoint": "<Endpoint path2>",
"data_source": {
"cluster_id": <Cluster ID2>
},
"params": [
{
"name": "<Parameter name>",
"type": "<Parameter type>",
"required": <0 | 1>,
"default": "<Parameter default value>",
"description": "<Parameter description>"
}
],
"settings": {
"timeout": <Endpoint timeout>,
"row_limit": <Maximum rows>,
"enable_pagination": <0 | 1>,
"cache_enabled": <0 | 1>,
"cache_ttl": <time-to-live period>
},
"tag": "Default",
"batch_operation": <0 | 1>,
"sql_file": "<SQL file directory2>",
"type": "sql_endpoint",
"return_type": "json"
}
]
The description of each field is as follows:
Field | Type | Description |
---|---|---|
name |
String | The endpoint name. |
description |
String | (Optional) The endpoint description. |
method |
String | The HTTP method of the endpoint. You can use GET to retrieve data, use POST to create or insert data, use PUT to update or modify data, and use DELETE to delete data. |
endpoint |
String | The unique path of the endpoint in the Data App. Only letters, numbers, underscores (_ ), and slashes (/ ) are allowed in the path, which must start with a slash (/ ) and end with a letter, number, or underscore (_ ). For example, /my_endpoint/get_id . The length of the path must be less than 64 characters. |
cluster_id |
String | The ID of the TiDB cluster for your endpoint. You can get it from the URL of your TiDB cluster. For example, if your cluster URL is https://tidbcloud.com/console/clusters/1234567891234567890/overview , the cluster ID is 1234567891234567890 . |
params |
Array | The parameters used in the endpoint. By defining parameters, you can dynamically replace the parameter value in your queries through the endpoint. In params , you can define one or multiple parameters. For each parameter, you need to define its name , type , required , and default fields. If your endpoint does not need any parameters. You can leave params empty such as "params": [] . |
params.name |
String | The name of the parameter. The name can only include letters, digits, and underscores (_ ) and must start with a letter or an underscore (_ ). DO NOT use page and page_size as parameter names, which are reserved for pagination of request results. |
params.type |
String | The data type of the parameter. Supported values are string , number , integer , and boolean . When using a string type parameter, you do not need to add quotation marks (' or " ). For example, foo is valid for the string type and is processed as "foo" , whereas "foo" is processed as "\"foo\"" . |
params.required |
Integer | Specifies whether the parameter is required in the request. Supported values are 0 (not required) and 1 (required). The default value is 0 . |
params.default |
String | The default value of the parameter. Make sure that the value matches the type of parameter you specified. Otherwise, the endpoint returns an error. |
params.description |
String | The description of the parameter. |
settings.timeout |
Integer | The timeout for the endpoint in milliseconds, which is 30000 by default. You can set it to an integer from 1 to 30000 . |
settings.row_limit |
Integer | The maximum number of rows that the endpoint can operate or return, which is 1000 by default. When batch_operation is set to 0 , you can set it to an integer from 1 to 2000 . When batch_operation is set to 1 , you can set it to an integer from 1 to 100 . |
settings.enable_pagination |
Integer | Controls whether to enable the pagination for the results returned by the request. Supported values are 0 (disabled) and 1 (enabled). The default value is 0 . |
settings.cache_enabled |
Integer | Controls whether to cache the response returned by your GET requests within a specified time-to-live (TTL) period. Supported values are 0 (disabled) and 1 (enabled). The default value is 0 . |
settings.cache_ttl |
Integer | The time-to-live (TTL) period in seconds for cached response when settings.cache_enabled is set to 1 . You can set it to an integer from 30 to 600. During the TTL period, if you make the same GET requests again, Data Service returns the cached response directly instead of fetching data from the target database again, which improves your query performance. |
tag |
String | The tag for the endpoint. The default value is "Default" . |
batch_operation |
Integer | Controls whether to enable the endpoint to operate in batch mode. Supported values are 0 (disabled) and 1 (enabled). When it is set to 1 , you can operate on multiple rows in a single request. To enable this option, make sure that the request method is POST , PUT , or DELETE . |
sql_file |
String | The SQL file directory for the endpoint. For example, "sql/GET-v1.sql" . |
type |
String | The type of the endpoint, which can only be "sql_endpoint" . |
return_type |
String | The response format of the endpoint, which can only be "json" . |
The SQL file of an endpoint specifies the SQL statements to query data through the endpoint. You can find the endpoint SQL files of a Data App in the http_endpoints/sql/
directory. For each endpoint, there should be a corresponding SQL file.
The name of a SQL file is in the <method>-<endpoint-path>.sql
format, where <method>
and <endpoint-path>
must match the method
and endpoint
configuration in http_endpoints/config.json
.
In the SQL file, you can write statements such as table join queries, complex queries, and aggregate functions. The following is an example SQL file.
/* Getting Started:
Enter "USE {database};" before entering your SQL statements.
Type "--your question" + Enter to try out AI-generated SQL queries in the TiDB Cloud console.
Declare a parameter like "Where id = ${arg}".
*/
USE sample_data;
SELECT
rank,
company_name,
FROM
global_fortune_500_2018_2022
WHERE
country = ${country};
When writing a SQL file, pay attention to the following:
-
At the beginning of the SQL file, you need to specify the database in the SQL statements. For example,
USE database_name;
. -
To define a parameter of the endpoint, you can insert it as a variable placeholder like
${variable-name}
to the SQL statement.In the preceding example,
${country}
is used as a parameter of the endpoint. With this parameter, you can specify a desired country to query in your endpoint curl command.Note:
- The parameter name is case-sensitive.
- The parameter cannot be a table name or column name.
- The parameter name in the SQL file match the parameter name configured in
http_endpoints/config.json
.