You use the CreateDataSource action to connect a data source to
your Amazon Q application.
Then, you use the configuration parameter to provide a JSON schema with all
other configuration information specific to your data source connector.
MySQL JSON schema
The following is the MySQL JSON schema:
{
"$schema": "http://json-schema.org/draft-04/schema#",
"type": "object",
"properties": {
"connectionConfiguration": {
"type": "object",
"properties": {
"repositoryEndpointMetadata": {
"type": "object",
"properties": {
"dbType": {
"type": "string",
"enum": [
"mysql",
"db2",
"postgresql",
"oracle",
"sqlserver"
]
},
"dbHost": {
"type": "string"
},
"dbPort": {
"type": "string"
},
"dbInstance": {
"type": "string"
}
},
"required": [
"dbType",
"dbHost",
"dbPort",
"dbInstance"
]
}
},
"required": [
"repositoryEndpointMetadata"
]
},
"repositoryConfigurations": {
"type": "object",
"properties": {
"document": {
"type": "object",
"properties": {
"fieldMappings": {
"type": "array",
"items": [
{
"type": "object",
"properties": {
"indexFieldName": {
"type": "string"
},
"indexFieldType": {
"type": "string"
},
"dataSourceFieldName": {
"type": "string"
}
},
"required": [
"indexFieldName",
"indexFieldType",
"dataSourceFieldName"
]
}
]
}
},
"required": [
"fieldMappings"
]
}
},
"required": [
]
},
"additionalProperties": {
"type": "object",
"properties": {
"primaryKey": {
"type": "string"
},
"titleColumn": {
"type": "string"
},
"bodyColumn": {
"type": "string"
},
"sqlQuery": {
"type": "string",
"not": {
"pattern": ";+"
}
},
"timestampColumn": {
"type": "string"
},
"timestampFormat": {
"type": "string"
},
"timezone": {
"type": "string"
},
"changeDetectingColumns": {
"type": "array",
"items": {
"type": "string"
}
},
"allowedUsersColumn": {
"type": "string"
},
"allowedGroupsColumn": {
"type": "string"
},
"sourceURIColumn": {
"type": "string"
},
"serverlessAurora": {
"type": "string",
"enum": ["true", "false"]
}
},
"required": ["primaryKey", "titleColumn", "bodyColumn", "sqlQuery"]
},
"type" : {
"type" : "string",
"pattern": "JDBC"
},
"syncMode": {
"type": "string",
"enum": [
"FORCED_FULL_CRAWL",
"FULL_CRAWL",
"CHANGE_LOG"
]
},
"secretArn": {
"type": "string",
"minLength": 20,
"maxLength": 2048
}
},
"version": {
"type": "string",
"anyOf": [
{
"pattern": "1.0.0"
}
]
},
"required": [
"connectionConfiguration",
"repositoryConfigurations",
"syncMode",
"additionalProperties",
"secretArn",
"type"
]
}The following table provides information about important JSON keys to configure.
| Configuration | Description |
|---|---|
| connectionConfiguration | Configuration information for the endpoint for the data source. |
| repositoryEndpointMetadata | Required configuration information for connecting your data source.
|
| repositoryConfigurations | Configuration information for the content of the data source. For example, configuring specific types of content and field mappings. Specify the type of data source and the secret ARN. |
|
document |
A list of objects that map the attributes or field names of your database content to Amazon Q index field names. For more information, see Fiel. |
| additionalProperties | Additional configuration options for your content in your data source. Use to include or exclude specific content in your database data source. |
| primaryKey | Provide the primary key for the database table. This identifies the row in the table for which your SQL query is written. The connector uses the primary key column value to identify rows, detect changes, and crawl data. |
| titleColumn | Provide the name of the column in your database table that you want to designate as the column with document titles. |
| bodyColumn | Provide the name of the column in your database table that you want to designate as the column with document body text. Your SQL query can include multiple columns in your table concatenated into a single body column with an assigned alias. |
| sqlQuery | Enter SQL query statements like SELECT and JOIN operations. SQL queries must be less than 1000 characters and not contain any semi-colons (;). Amazon Q will crawl all database content that matches your query. |
| timestampColumn | Enter the name of the column which contains time stamps. Amazon Q uses time stamp information to detect changes in your content and sync only changed content. |
| timestampFormat | Enter the name of the column which contains time stamp formats to use to detect content changes and re-sync your content. |
| timezone | Enter the name of the column which contains time zones for the content to be crawled. |
| changeDetectingColumns | Enter the names of the columns that Amazon Q will use to detect content changes. Amazon Q will re-index content when there is a change in any of these columns |
| allowedUsersColumns | Enter the name of the column which contains User IDs to be allowed access to content. |
| allowedGroupsColumn | Enter the name of the column which contains User IDs to be allowed access to content. |
| sourceURIColumn | Enter the name of the column which contains Source URLs to be indexed. |
| isSslEnabled | true to add a path to an SSL certificate file stored in an Amazon S3 bucket. |
| type | The type of data source. Specify JDBC as your data source
type. |
| syncMode | Specify whether Amazon Q should update your index by syncing all documents or only
new, modified, and deleted documents. You can choose
|
| secretArn | The Amazon Resource Name (ARN) of a Secrets Manager secret that contains username and
password required to connect to your database. The secret must contain a JSON structure
with the following keys: |
| version | The version of the template that is currently supported. |
