Docs›Guides›Table›Foreign Table›Foreign Table Glue

AWS Glue Foreign Table

Learn how to integrate AWS Glue with foreign tables in Tacnode. Discover step-by-step guides to enhance your data management and analytics capabilities.

AWS Glue serves as a serverless data integration service that provides a centralized metadata catalog for data lakes. This guide covers integrating Glue Data Catalog with Tacnode to enable efficient querying of cataloged data sources.

AWS Glue Overview

AWS Glue Data Catalog provides:

Unified Metadata Repository: Central catalog for all data assets
Schema Discovery: Automatic schema inference from data sources
Partition Management: Efficient handling of partitioned datasets
Integration: Seamless connection with various AWS services

Benefits

Benefit	Description	Use Case
Centralized Metadata	Single source of truth for data schema	Data governance, consistency
Automatic Discovery	Schema inference and updates	Evolving data sources
Multi-format Support	Parquet, ORC, JSON, CSV	Diverse data lake scenarios

Setup and Configuration

Install Glue FDW Extension

The following instructions are written to be run from the psql command line

-- Install AWS Glue foreign data wrapper
CREATE EXTENSION IF NOT EXISTS glue_fdw;

-- Verify installation
SELECT extname, extversion 
FROM pg_extension 
WHERE extname = 'glue_fdw';

-- List available FDW options
\des+ glue_fdw

Create Glue Foreign Server

-- Primary production Glue server
CREATE SERVER glue_production FOREIGN DATA WRAPPER glue_fdw
OPTIONS (
    AWS_REGION 'us-east-1',
);

-- Analytics Glue server in different region
CREATE SERVER glue_analytics FOREIGN DATA WRAPPER glue_fdw
OPTIONS (
    REGION 'us-west-2'
);

Configure Authentication

IAM User Credentials

-- Development environment with IAM user
CREATE USER MAPPING FOR current_user SERVER glue_production
OPTIONS (
    AWS_ACCESS_ID 'AKIA...your-access-key-id',
    AWS_ACCESS_KEY 'your-secret-access-key'
);

-- Application-specific user mapping
CREATE USER MAPPING FOR analytics_user SERVER glue_production
OPTIONS (
    AWS_ACCESS_ID 'AKIA...analytics-access-key',
    AWS_ACCESS_KEY 'analytics-secret-key'
);

Schema Discovery

Import Complete Databases

-- Import entire Glue database
IMPORT FOREIGN SCHEMA "sales_database"
FROM SERVER glue_production
INTO sales_schema;

-- Import with table filtering
IMPORT FOREIGN SCHEMA "analytics_db"
    LIMIT TO (customer_data, purchase_history, product_catalog)
FROM SERVER glue_production
INTO analytics_schema;

-- Import all except certain tables
IMPORT FOREIGN SCHEMA "raw_data_db"
    EXCEPT (temp_tables, test_data)
FROM SERVER glue_production
INTO raw_data_schema;

Selective Table Import

-- Import specific tables with custom options
IMPORT FOREIGN SCHEMA "large_datasets"
    LIMIT TO (transaction_log, user_activity)
FROM SERVER glue_production
INTO warehouse_schema;

Table Management

Best Practices Summary

Use IAM roles instead of access keys for production environments
Implement proper access controls with row-level security
Monitor schema evolution and handle changes gracefully
Create materialized views for frequently accessed data
Use connection pooling for high-concurrency scenarios
Implement comprehensive auditing for compliance requirements
Regular performance monitoring to optimize query patterns

Limitations

Read-only access to Glue catalog data
Schema changes in Glue may require foreign table recreation
Large table scans can be expensive - use proper filtering
Cross-region access increases latency and costs
Some Glue metadata features may not be fully supported

This comprehensive approach to AWS Glue integration enables you to leverage centralized metadata management while maintaining optimal query performance and governance controls.