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.
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I am trying to set up a process in which a postgres staging database is populated with production data.
I have some working implementation with pg_dump and pg_restore but I was wondering if something in RDS itself is possible.
We have nightly snapshots on our production database. My goal would be RDS takes the latest database snapshot, migrates it to an existing database and does this on some scheduled cadence (1/week or something like that).
Is this possible to configure in the console? If not are there some some combination of lambda/cloud formation that can do this?
My goal would be RDS takes the latest database snapshot, migrates it to an existing database
RDS never loads a snapshot into an existing database. It always creates an entirely new database server/cluster from a snapshot.
Is this possible to configure in the console? If not are there some some combination of lambda/cloud formation that can do this?
You would have to write some code that creates a new staging database server from the production snapshot, and deletes your current server.
If you are using CloudFormation, then it could manage this for you if you specify the DBSnapshotIdentifier parameter. You would have to modify that parameter each week, and then update your CloudFormation stack.
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.
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.
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.
I have two databases on Amazon RDS, both Postgres. Database 1 and 2
I need to restore an instance from a snapshot of Database 1 for my Staging environment. (Database 2 is my current Staging DB).
However, I want the data from a few of the tables in Database 2 to overwrite the tables in the newly restored snapshot. What is the best way to do this?
When restoring RDS from a Snapshot, a new database instance is created. If you only wish to copy a portion of the snapshot:
Restore the snapshot to a new (temporary) database
Connect to the new database and dump the desired tables using pg_dump
Connect to your staging server and restore the tables using pg_restore (most probably deleting any matching existing tables first)
Delete the temporary database
pg_dump actually outputs SQL commands that are then used to recreate tables and restore data. Look at the content of a dump to understand how the restore process actually works.
I hope this still works for someone else.
With my team we faced a similar issue. We also had 2 Postgres databases and we also just needed to backup some tables from db1 to db2.
What we did is to use a lambda function using Python (from AWS lambda ofc) that connected to both databases and validates if db1.table1 has the same data as db2.table1, if not, then the lambda function should write the missing data from db1.table1 into db2.table1. The approach of using lambda was because we wanted to automate the process due to the main db (let's say db1) is constantly being updated. In addition, it allowed us to only backup our desired tables (let's say 3 tables out of 10), instead of backing up the whole database.
Note: Maybe you want to do these writes using temporary tables to avoid issues with any constraints you have in your tables.