![]() Now we’re ready to query the historical data using Athena. Validate that all the table structures are reflected in the database historical_data.Follow similar steps for the bricks table structure.TBLPROPERTIES ('classification' = 'csv') LOCATION 's3://historicalbucket/wallpaper/' STORED AS INPUTFORMAT '.TextInputFormat' OUTPUTFORMAT '.ql.io.HiveIgnoreKeyTextOutputFormat' Use the following connection string to connect to the database:ĬREATE EXTERNAL TABLE `historical_data`.`wallpaper` ( To establish connectivity from the application running on an EC2 instance to an RDS for PostgreSQL instance, you can use the 1-click setup from the AWS console. Complete the following steps to create tables and insert sample data. Table creation and sample data insertion is needed to demonstrate the solution.įor this post, we create tables under the test schema of a database named blog. Table partitioning is the technique of distributing data across multiple partitions that in turn improves query performance and data manageability. A basic understanding of Amazon Athena federated queries.Ĭreate partitioned and standalone tables in the RDS for PostgreSQL instance.For this post, our bucket is called historicalbucket. An S3 bucket where you store the historical data. ![]() User credentials (access key and secret access key) configured on the EC2 instance by running aws configure.The AWS CLI installed on the EC2 instance.An EC2 instance with psql installed to connect to Amazon RDS for PostgreSQL.For this post, we use Amazon RDS for PostgreSQL. An AWS account with an Amazon RDS instance running.You should have the following prerequisites in place: Test joining the historical data with RDS for PostgreSQL tables using Athena. ![]()
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