I have an AWS RDS Aurora PostgreSQL cluster (compatible with PostgreSQL 13.4).
I successfully followed this tutorial to back up my PostgreSQL RDS aurora cluster snapshot to S3, and it seems that all the data is backed up to s3.
Now I'm trying to restore the exported snapshot from S3 to PostgreSQL RDS cluster, and I couldn't find explanation how to do it.
Any idea how to do it? maybe I need to first restore the exported data from S3 to snapshot, and then connect it to to RDS, or any other way?
The RDS Snapshot to S3 export feature is not intended for additional backups of your data. It is intended to convert your data to Parquet for use in analytics tools like Redshift or Athena. Some data type conversion happens during this export process.
There is currently no method available to import these Parquet files back into RDS. You would have to write some code yourself to read the Parquet files and insert the data back into a running RDS instance if you needed that.
If you are just wanting a secondary backup of your RDS instance in addition to the RDS snapshots, you could either look into cross-region or cross-account copies of your RDS snapshots, or look into using the AWS Backup service.
Related
Can I create a full database snapshot or backup (manual/automated) for Amazon RDS Postgres Databases and not incremental ones. I want to create a job that provides full database parquet files everyday and share it with the Data warehousing team.
The document here says the following:
The first snapshot of a DB instance contains the data for the full DB instance. Subsequent snapshots of the same DB instance are incremental, which means that only the data that has changed after your most recent snapshot is saved.
The RDS snapshots do not create Parquet files, as they are based on EBS snapshots.
To get Parquet files the best way would be to setup a Glue job which can run automatically on your schedule.
We have a Redshift cluster that needs one table from one of our RDS / postgres databases. I'm not quite sure the best way to export that data and bring it in, what the exact steps should be.
In piecing together various blogs and articles the consensus appears to be using pg_dump to copy the table to a csv file, then copying it to an S3 bucket, and from there use the Redshift COPY command to bring it in to a new table-- that's my high level understanding, but am not sure what the command line switches should be, or the actual details. Is anyone doing this currently and if so, is what I have above the 'recommended' way to do a one-off import into Redshift?
It appears that you want to:
Export from Amazon RDS PostgreSQL
Import into Amazon Redshift
From Exporting data from an RDS for PostgreSQL DB instance to Amazon S3 - Amazon Relational Database Service:
You can query data from an RDS for PostgreSQL DB instance and export it directly into files stored in an Amazon S3 bucket. To do this, you use the aws_s3 PostgreSQL extension that Amazon RDS provides.
This will save a CSV file into Amazon S3.
You can then use the Amazon Redshift COPY command to load this CSV file into an existing Redshift table.
You will need some way to orchestrate these operations, which would involve running a command against the RDS database, waiting for it to finish, then running a command in the Redshift database. This could be done via a Python script that connects to each database (eg via psycopg2) in turn and runs the command.
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
I able to migrate from on-prem database to AWS using DMS service but couldn't able to migrate database from Azure to AWS.
Is there any better approach?
A pretty low level but effective way would be to: export your Azure data as CSV using pg_dump,
copy it into an AWS S3 bucket (pretty easy with Python awscli package) and load from S3 into RDS Postgres.
Would be great if files could be moved directly from blob storage to s3, but I don't think Azure Postgres supports dumping directly to blob anyway.
My problem is to get big(250Gb) postgres dump on my local machine.
Its on AWS RDS. I tried to dump it to local machine, but it takes too long, kinda 3+ days.
Trying to find a way to dump it into S3 and download from there safely. May be you could suggest more effective way to do that. Will appreciate any kind of help.
Thanks!
As of my knowledge, aws does not provide a way to backup db into s3
you can take a look into this question and answers,
Export huge database from amazon RDS to local mysql
here is one answer
If the data is that big I would suggest copying the RDS snapshot on S3, as explained here.
Link to documentation to copy snapshot to s3
This topic is covered in this StackOverflow thread Exporting a AWS Postgres RDS Table to AWS S3
Another solution would be to spin up an EC2 instance and dump the database to a local EBS volume that is large enough for the following steps. Then chose one of the following:
Compress the DB dump into multiple files and copy to S3 for download. I would use a smart S3 download manager given the size of the database dump.
Export the S3 data using Snowball Export S3 Data. If your Internet connection is not fast enough / reliable enough then Snowball will get you the data.