How Do I Build an AWS Glue Catalogtable With Pulumi?

Introduction

AWS Glue is a fully managed ETL (Extract, Transform, Load) service that makes it simple and cost-effective to categorize your data, clean it, enrich it, and move it reliably between various data stores. One of the key components of AWS Glue is the Glue Catalog, which acts as a metadata repository for all your datasets. In this guide, we will walk through the process of building an AWS Glue Catalog Table using Pulumi, a modern infrastructure as code platform.

Step-by-Step Explanation

To build an AWS Glue Catalog Table, you need to define several key components:

1. AWS Glue Catalog Database: This is the container for your tables and serves as the namespace.
2. AWS Glue Catalog Table: This is the actual table definition that includes schema, storage descriptor, and configuration settings.

These components allow AWS Glue to manage and query your data effectively. Below are the steps and the corresponding TypeScript code to create an AWS Glue Catalog Table. Remember to replace any placeholder values (like <region>, <database_name>, etc.) with your actual values.

AWS Glue Catalog Table Components

• Provider: Specifies the use of AWS and determines the region.
• Database: The Glue Database where your table will be created.
• Table: The Glue Table with its defined schema and storage details.

Here’s how you can implement it:

import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";

// Create Glue Catalog Database
const example = new aws.glue.CatalogDatabase("example", {name: "<database_name>"});
// Create Glue Catalog Table
const exampleCatalogTable = new aws.glue.CatalogTable("example", {
    name: "<table_name>",
    databaseName: example.name,
    description: "An example Glue Table",
    storageDescriptor: {
        columns: [
            {
                name: "id",
                type: "int",
            },
            {
                name: "name",
                type: "string",
            },
        ],
        location: "s3://<bucket_name>/data/",
        inputFormat: "org.apache.hadoop.mapred.TextInputFormat",
        outputFormat: "org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat",
        compressed: false,
        serDeInfo: {
            name: "example_ser_de",
            serializationLibrary: "org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe",
            parameters: {
                "serialization.format": "1",
            },
        },
        parameters: {
            EXTERNAL: "TRUE",
        },
    },
    partitionKeys: [{
        name: "partition_key",
        type: "string",
    }],
    parameters: {
        classification: "json",
    },
    tableType: "EXTERNAL_TABLE",
});
export const databaseName = example.name;
export const tableName = exampleCatalogTable.name;

Code Explanation

• Provider Configuration: The AWS provider is set up to ensure the correct region is used.
• Glue Catalog Database Creation: The aws.glue.CatalogDatabase resource is used to create a new Glue database.
• Glue Catalog Table Definition: The aws.glue.CatalogTable resource defines the table, specifying the schema, storage descriptor, SerDe (serialization and deserialization) information, and partitioning details.
• Outputs: The code exports the names of the created database and table, making them accessible for further use.

Key Points

• AWS Glue Catalog acts as a metadata repository for your datasets.
• The Glue Database serves as a namespace for your tables.
• The Glue Table includes schema, storage descriptor, and additional configurations.
• Pulumi allows you to define and manage these resources programmatically.

Conclusion

In this guide, we set up an AWS Glue Catalog Database and a Table using Pulumi. By defining the schema and storage descriptor, we enabled AWS Glue to manage and query data from a specified S3 location. This setup facilitates efficient data processing and querying, leveraging AWS Glue’s capabilities. With Pulumi, infrastructure management becomes more streamlined and integrated into your development workflow.