DataCatalog
The DataCatalog resource lets you manage AWS Athena DataCatalogs for organizing and storing metadata about your data sources.
Minimal Example
Section titled “Minimal Example”Create a basic DataCatalog with required properties and a description:
import AWS from "alchemy/aws/control";
const basicDataCatalog = await AWS.Athena.DataCatalog("basicDataCatalog", {  Name: "myDataCatalog",  Type: "GLUE",  // Assuming usage of AWS Glue as the catalog type  Description: "A catalog for storing metadata of my datasets"});Advanced Configuration
Section titled “Advanced Configuration”Configure a DataCatalog with additional options for parameters and tags:
const advancedDataCatalog = await AWS.Athena.DataCatalog("advancedDataCatalog", {  Name: "advancedDataCatalog",  Type: "GLUE",  Description: "A catalog with advanced configuration",  Parameters: {    "catalogId": "123456789012",    "compressionType": "GZIP"  },  Tags: [    { Key: "Environment", Value: "Production" },    { Key: "Project", Value: "DataAnalytics" }  ]});Connection Type Example
Section titled “Connection Type Example”Create a DataCatalog with a specified connection type:
const connectionDataCatalog = await AWS.Athena.DataCatalog("connectionDataCatalog", {  Name: "connectionDataCatalog",  Type: "GLUE",  Description: "Catalog with a connection type",  ConnectionType: "JDBC"});Error Handling Example
Section titled “Error Handling Example”Manage error states for a DataCatalog:
const errorHandlingDataCatalog = await AWS.Athena.DataCatalog("errorHandlingDataCatalog", {  Name: "errorHandlingDataCatalog",  Type: "GLUE",  Description: "Catalog with error handling",  Error: "No connection available"});