I want to connecting to Amazon Relational Database Service, but I don't see the Amazon RDS node in AWS Explorer even I have a DB instance created and running.
Amazon Relational Database Service (N. Virginia) - Service is operating normally
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I have a Node JS application that has come into my situation. The app has a Postgres database that is currently hosted on Heroku that needs to be migrated to RDS. I have created a Postgres Aurora database cluster and have performed a restore using pg_restore. I am now trying to connect the Node JS application to the RDS database cluster and am having some trouble how to connect the app to the database in RDS.
Note, the RDS database cluster is private. The only access to the database is within the VPC. If there are any guides available to achieve this connectivity, that would greatly be appreciated.
We are trying to export data from an Amazon Aurora PostgreSQL database to an S3 buckets. The code being used is like this:
SELECT * FROM analytics.my_test INTO OUTFILE S3
's3-us-east-2://myurl/sampledata'
FIELDS TERMINATED BY ','
LINES TERMINATED BY '\n';
MANIFEST ON
OVERWRITE ON;
All permissions have been set up but we get the error
SQL Error [42601]: ERROR: syntax error at or near "INTO" Position: 55
Does this only work with a MySQL database?
It is fairly new feature on Aurora Postgres, but it is possible to export the query result into a file on s3: https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/postgresql-s3-export.html#postgresql-s3-export-file
The syntax is not the same as for MySQL though. For Postgres it is:
SELECT * from aws_s3.query_export_to_s3('select * from sample_table',
aws_commons.create_s3_uri('sample-bucket', 'sample-filepath', 'us-west-2')
);
I believe saving SQL select output data in S3 ONLY works for Amazon Aurora MySQL DB. I don't see any reference in the official documentation that mentions the same for Amazon Aurora PostgresSQL.
Here are snippets from official documentation that I referred to
Integrating Amazon Aurora MySQL with Other AWS Services
Amazon Aurora MySQL integrates with other AWS services so that you can
extend your Aurora MySQL DB cluster to use additional capabilities in
the AWS Cloud. Your Aurora MySQL DB cluster can use AWS services to do
the following:
Synchronously or asynchronously invoke an AWS Lambda function using
the native functions lambda_sync or lambda_async. For more
information, see Invoking a Lambda Function with an Aurora MySQL
Native Function.
Load data from text or XML files stored in an Amazon Simple Storage
Service (Amazon S3) bucket into your DB cluster using the LOAD DATA
FROM S3 or LOAD XML FROM S3 command. For more information, see Loading
Data into an Amazon Aurora MySQL DB Cluster from Text Files in an
Amazon S3 Bucket.
Save data to text files stored in an Amazon S3 bucket from your DB
cluster using the SELECT INTO OUTFILE S3 command. For more
information, see Saving Data from an Amazon Aurora MySQL DB Cluster
into Text Files in an Amazon S3 Bucket.
Automatically add or remove Aurora Replicas with Application Auto
Scaling. For more information, see Using Amazon Aurora Auto Scaling
with Aurora Replicas.
Integrating Amazon Aurora PostgreSQL with Other AWS Services
Amazon Aurora integrates with other AWS services so that you can
extend your Aurora PostgreSQL DB cluster to use additional
capabilities in the AWS Cloud. Your Aurora PostgreSQL DB cluster can
use AWS services to do the following:
Quickly collect, view, and assess performance for your Aurora
PostgreSQL DB instances with Amazon RDS Performance Insights.
Performance Insights expands on existing Amazon RDS monitoring
features to illustrate your database's performance and help you
analyze any issues that affect it. With the Performance Insights
dashboard, you can visualize the database load and filter the load by
waits, SQL statements, hosts, or users.
For more information about Performance Insights, see Using Amazon RDS
Performance Insights.
Automatically add or remove Aurora Replicas with Aurora Auto Scaling.
For more information, see Using Amazon Aurora Auto Scaling with Aurora
Replicas.
Configure your Aurora PostgreSQL DB cluster to publish log data to
Amazon CloudWatch Logs. CloudWatch Logs provide highly durable storage
for your log records. With CloudWatch Logs, you can perform real-time
analysis of the log data, and use CloudWatch to create alarms and view
metrics. For more information, see Publishing Aurora PostgreSQL Logs
to Amazon CloudWatch Logs.
Ther is no mention of saving data to S3 for PostgresSQL
It seems migrating Postgres database using data directory is viable:
How To Move a PostgreSQL Data Directory to a New Location on Ubuntu 16.04
But in case of RDS because SSHing to the RDS is not possible I am here to ask if there is any way to speed up my Postgres database migration.
You could use the AWS Database Migration Service:
AWS Database Migration Service (AWS DMS) is a cloud service that makes it easy to migrate relational databases, data warehouses, NoSQL databases, and other types of data stores. You can use AWS DMS to migrate your data into the AWS Cloud, between on-premises instances (through an AWS Cloud setup), or between combinations of cloud and on-premises setups.
I want to understand AWS Relational Database Service (RDS) and discover benefits from using it.
Why RDS is better than manually installed PostgreSQL database in EC2 instance?
Is it possible to connent existing database in EC2 instance with Amazon RDS?
How it really works?
How I should automation RDS?
When I want create new database in existing EC2 instance I can use Ansible in simply way. How I should connect my application with database which uses RDS ?
Thanks in advance!
I want to understand AWS Relational Database Service (RDS) and discover benefits from using it.
As already commented, read the docs and whitepapers.
Why RDS is better than manually installed PostgreSQL database in EC2 instance?
you can be sure it is well setup, you will get point in time recovery, backups and high availability. As well you can set it up yourself, however using RDS you have it all already configured.
Ifs it possible to connent existing database in EC2 instance with Amazon RDS? How it really works?
you don't have access to any underlying configuration, so nope, you cannot really connect ec2 database w/ rds (e. g. wal for wal streaming).
you still can use database migration tools to migrate all databases and updates to or from rds
How I should automation RDS? When I want create new database in existing EC2 instance I can use Ansible in simply way.
you can use a cloudformation template or cli commands
How I should connect my application with database which uses RDS ?
when you create a rds instance, you will define an admin user and receive a connection url
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_VPC.Scenarios.html#USER_VPC.Scenario1
can I migrate from AWS RDS to standalone Postgres instance using AWS DMS?
I RTFM, but It does not state anywhere clearly If I can or not. In theory migration should be the same - create supporting scheme in RDS and move on. But have anyone done it?
Well, from AWS DMS manual:
AWS Database Migration Service (AWS DMS) can migrate your data to and from most widely used commercial and open-source databases such as Oracle, PostgreSQL, Microsoft SQL Server, Amazon Redshift, Amazon Aurora, MariaDB, and MySQL. The service supports homogeneous migrations such as Oracle to Oracle, and also heterogeneous migrations between different database platforms, such as Oracle to MySQL or MySQL to Amazon Aurora. The source or target database must be on an AWS service.
In your case the source is on an AWS service, and if by "standalone" you mean a PostgreSQL instance on EC2 machine, then your target is as well. So, based on that, then answer should be "yes".
Yes, that is possible. We have moved data from RDS Postgres to Postgres Installed on EC2 Instance using DMS and works great so far. Make sure to create endpoints for the source/target and create a replication instance and you are good to go