Copy data from Postgres DB (GCP Project A) to another Postgres DB (GCP Project B) - postgresql

I would be happy to get your help / feedback re data load.
Goal:
Load source data from a Postgres database, which is located in GCP project A to another Postgres database, which is located in GCP project B.
Challenge:
Get a connection (I have an IAM account with sufficient rights to run a COPY TO / COPY FROM command) to the Postgres DB in GCP Project A and copy the table either to a CSV or create a dump that can be used in order to be inserted to another Postgres DB in GCP Project B.
How do I connect to the database (e.g. if I create a key, where shall I store the json keyfile and would that approach even be feasible?) with this IAM email account?
Other ways I've researched were to use psycopg2 (thus I could use the function cursor.copy_expert (which doesn’t need any superuser right or Postgres user credentials and copy the data), but I didn’t succeed in connecting to the database with psycopg2 due to challenges with cloud proxy.
Another idea was to use pg_dump or gcloud sql export csv.
I would be curious if some of you were facing a similar challenge and how did you solve it and what might be the best way/practice

You can have a try out database migration service. You can set up a continuous migration configuration and use Cloud SQL for PostgreSQL.

Hello after a lot of searching I've come to these solutions:
If you have continuous copy, you need to use the database migration service, check this documentation.
If you have one shot copy:
you can restore your instance, see the bottom page of this documentation
you can create a bucket and backup your instance on it, then import it from the other project

Related

How to Backup Postgres Database on AWS and restore locally?

I'm working on trying to setup my local database with some mock data to work with. We have a development AWS account with a postgres database. I would like to create a backup of it, export it to my local computer, and restore to my local postgres database.
I've been trying to find how to do this online, but everything I'm finding is on how to backup to AWS and to restore back to AWS. I tried creating a snapshot and exporting it via S3 - but the snapshot doesn't produce a sql file to restore from like I was expecting.
If anyone can point me in the right direction I would very much appreciate it :)
I am afraid that the only chance you have is pg_dump/pg_restore.
Even if Amazon lets you get your hands on its file system backups, which I doubt, they may be of little use to you, since Amazon runs modified versions of PostgreSQL and you cannot be sure that the physical file format is identical to PostgreSQL.

How to import sql file in Google SQL with binary mode enabled?

I have a database that is giving error:
ASCII '\0' appeared in the statement, but this is not allowed unless option --binary-mode is enabled and mysql is run in non-interactive mode. Set --binary-mode to 1 if ASCII '\0' is expected.
I'm including importing the database through the console with gcloud sql import sql mydb gs://my-path/mydb.sql --database=mydb but I don't see in the documentation any flags for binary mode. Is it possible at all?
Optional - is there a way to set this flag when importing through the MySQL Workbench. I haven't seen anything about it there too, but may be I'm missing some setting or something. If there is way to set that flag, then I can import my database through MySQL Workbench.
Thank you.
Depending where the source database is hosted, on Cloud SQL or on an on-premise environment, the proper flags are set during the export, so the dump file is compatible with the target database.
Since you would like to import a file that has been exported from an on-premise environment, mysqldump is the suggested way to perform the export.
First, create a dump file as suggested in the documentation. Make sure to pay attention to the following 2 points:
Do not export customer-created MySQL users. This will cause the import to the new instance to fail. Instead, manually create the MySQL users you wish to.
Make sure that you have configured the appropriate flags in order to make sure that the dump file will contain all the necessary details you need. Eg triggers, stored procedures etc.
Then, create a Cloud Storage Bucket and upload the dump file to the bucket.
Before proceeding with the import, grant the Storage Object Admin role to the service account of the target Cloud SQL instance. You may do that with the following command:
gsutil iam ch serviceAccount:[SERVICE-ACCOUNT]:objectAdmin gs://[BUCKET-NAME]
You may locate the aforementioned Service Account in the Cloud SQL instance Overview, or by running the following command:
gcloud sql instances describe [INSTANCE_NAME]
The service account will be mentioned at the serviceAccountEmailAddress field.
Now you are able to do the import either from Console, or using the gcloud command or a REST API.
More details in Google documentation
Best Practices for importing/exporting data

How to load data from S3 to PostgreSQL RDS

I have a need to load data from S3 to Postgres RDS (around 50-100 GB) I don't have the option to use AWS Data Pipeline and I am looking for something similar to using the COPY command to load data in S3 into Amazon Redshift.
I would appreciate any suggestions on how I can accomplish this.
Originally, this answer was trying to use the S3 to Postgres RDS Functionality. That whole enterprise failed (see below).
The way I have finally been able to do this is:
Set-up an EC2 instance with psql installed (see below near end of post)
Copy the relevant CSVs to import from S3 to the local instance
Use the psql /copy command to import the files up
This last part is really, really important. If you use the SQL COPY command the entire RDS Postgres role structure will frustrate you to no end. It has a wonky SUPERRDSADMIN role which is not very super at all. However, if you use the psql /copy commany you apparently can do anything. I have confirmed this be the case and have started my uploads succesfully. I will come back and re-edit this post (time permitting) to add relevant documentation steps for the above.
Caveat Emptor: The post below was all the original work I had done trying to get this implemented. I don't want to bury the lead despite multiple efforts (including what can only be described as pathetic tech support from AWS) I don't believe that this feature is ready for prime time. Despite a very simple test environment, easy to replicate, AWS has not provided an effective way to not get the copy statement to crap out as follows:
The actual call to aws_s3.table_import_from_s3(...) is reporting a permission problem between RDS and S3. From my research work with psql this appears to be a C library, probably installed by AWS.
NOTICE: CURL error code: 28 when attempting to validate pre-signed URL, 1 attempt(s) remaining
NOTICE: HINT: make sure your instance is able to connect with S3.
S3 to Postgres RDS Functionality Now Added
On 2019-04-24 AWS released functionality allowing a Postgres RDS to load directly from S3. You can read the announcement here, and see the documentation page here.
I am sharing with the OP because this appears to be the AWS supported way of solving the question posed.
Key summary points:
Requires Postgres 11.1 or greater
Need access to psql and the ability to connect it to the RDS instance
Need to install the aws_s3 extension which pulls in aws_commons.
You can get to the S3 bucket by specifying credentials or by assigning IAM roles to RDS
It advertises supporting all of the same data formats as the postgres COPY command
It currently only appears to support a single file at a time (ie no regex)
The instructions are fairly detailed and provide a variety of paths to configuring (AWS CLI scripts, Console instructions, etc). Additionally, the option to use your IAM keys rather than have to set-up roles is nice.
I did not find a way to download just psql, so I had to bring down a full postgres install down to my mac, but that was no big deal with brew:
brew install postgres
and since the DB service does not get activated it is the quickest way to get psql.
Update: Decided that having psql on my mac was a security hole, port forwarding, etc. I found that there is a simple Postgres install available for AMI Linux 2 under the AMI Extras rubric. The install command is fairly simple on your ami instance type.
sudo amazon-linux-extras install postgresql10
psql is fairly easy to use, however, important to keep in mind that any instructions to psql itself are escaped by a \. Documentation on psql can be found here. Recommend going through it at least once before executing the AWS recommended scripts.
To the extent you run tight security and have access to your RDS instances seriously restricted (which I do) don't forget to open up the ports from your AMI instance running Postgres to your RDS instance.
If your preference is a GUI then you can try to use PGAdmin4. It is the AWS recommended way of connecting to RDS Postgres instances according to the docs. I was unable to get any of the SSH tunneling features to work (which is why I ended up doing the localhost SSH mapping that I used for psql). I also found it to be rather buggy in other ways. Reading reviews of the product it seems that version 4 may not be the stablest of releases.
http://docs.aws.amazon.com/redshift/latest/dg/t_loading-tables-from-s3.html
Use the COPY command to load a table in parallel from data files on
Amazon S3. You can specify the files to be loaded by using an Amazon
S3 object prefix or by using a manifest file.
The syntax to specify the files to be loaded by using a prefix is as
follows:
copy <table_name> from 's3://<bucket_name>/<object_prefix>'
authorization;
update
Another option is to mount s3 and use direct path to the csv with COPY command. I'm not sure If it will hold 100GB effectively, but worth of trying. Here is some list of options on software.
Yet another option would be "parsing" s3 file part by part with something described here to a file and COPY from named pipe, described here
And the most obvious option to just download file to local storage and use COPY I don't cover at all
Also worth of mentioning would be s3_fdw (status unstable). Readme is very laconic, but I assume you could create a foreign table leading to s3 file. Which itself means you can load data to other relation...

How I can copy my local PostgreSQL database to Heroku for SpringBoot app

I have deployed my SpringBoot app to Heroku. Now I would like to copy my local PostgreSQL to Heroku.
I have found some information on devcenter.heroku.com.
However I don't understand enough about the using of file db.changelog-master.yaml.
Could anyone give me details about the simplest solutions to copy the database?
Create a valid dump of your local postgres database and host it somewhere publicly available. Now you will be able to restore this entire dataset (schema and records) with pg:backups:restore as shown here. The sole caveat here is that the target database must be completely empty for this to work. You can empty a Heroku postgres database with heroku pg:reset.
If you cannot take the approach listed above then you can run pg_restore directly from your local instance, provided your local version of Postgres is >= the target version of Postgres. This also applies to creating the dumpfile and is a requirement because pg utilities are not guaranteed to be forward compatible. Documentation for pg_restore is here.

Is there any way I can restore a DB2 backup file onto IBM DashDB?

I am trying to restore a DB2 backup file into my BlueMix DashDB service. How do I go about doing this?
You cannot restore your DB2 backup image into dashDB for several reasons.
In an entry-level, shared dashDB instance you only have access to one schema in a physical database shared by others.
Even if you have a dedicated instance, you need 1) access to the database local disk to upload the image and 2) sufficient privileges (at least SYSMAINT authority) to perform the restore. I doubt either will be available to you.
What you can do is run db2look and db2move locally to extract your database DDL statements and data respectively. You can then run the extracted DDL script against dashDB provided you replace the original schema name(s) with the one available to you in dashDB and, after creating the tables, load your data into them.