i am using Amazon RDS Aurora postgreSQL 10.18, i need to export a specific tables with more than 50,000 rows into csv file (either local or into s3 bucket), i have tried many procedure but ended up with fail :
i tried the button export to csv from the query editor after select all rows but the API response with too large data to return
i tried to use aws_s3.query_export_to_s3, but ERROR: (credentials stored with the database cluster can’t be accessed Hint: Has the IAM role Amazon Resource Name (ARN) been associated with the feature-name "s3Export")
i tried to take a snapshot from our instance, then export it into s3 bucket but ended up with error (The specified db snapshot engine mode isn’t supported and can’t be exported)
Related
When importing a csv file from Cloud Storage into Cloud SQL Postgres using Cloud Composer (AIRFLOW ),I would like to remove the header, or skip rows automatically (in my dag operator: CloudSQLImportInstanceOperator) but i keep having error,It seems CloudSQLImportInstanceOperator doesn't support skip rows,how to resolve such issue?
I have created a visual job in AWS Glue where I extract data from Snowflake and then my target is a postgresql database in AWS.
I have been able to connect to both Snowflak and Postgre, I can preview data from both.
I have also been able to get data from snoflake, write to s3 as csv and then take that csv and upload it to postgre.
However when I try to get data from snowflake and push it to postgre I get the below error:
o110.pyWriteDynamicFrame. null
So it means that you can get the data from snowflake in a Datafarme and while writing the data from this datafarme to postgres, you are failing.
You need to check was glue logs to get more understanding why is this failing while writing the data into postgres.
Please check if you have the right version of jars (needed by postgres) compatible with scala(on was glue side).
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.
I'm having trouble making loads of tables that have CLOBS and BLOBS columns in a 'SQL Database' database in Bluemix.
The error returned is:
SQL3229W The field value in row "617" and column "3" is invalid. The row was
rejected. Reason code: "1".
SQL3185W The previous error occurred while processing data from row "617" of
the input file.
The same procedures performed in a local environment functioned normally.
under the command you use to load:
load client from /home/db2inst1/ODONTO/tmp/ODONTO.ANAMNESE.IXF OF IXF LOBS FROM /home/db2inst1/ODONTO/tmp MODIFIED BY IDENTITYOVERRIDE replace into USER12135.TESTE NONRECOVERABLE
The only manner currently you can upload lob files to a SQLDB or dashDB is to load the data and lobs from the cloud. The option is to get data from a Swift object storage in Softlayer or a Amazon S3 storage. You should have an account on one of those services.
After that, you can use the following syntax:
db2 "call sysproc.admin_cmd('load from Softlayer::softlayer_end_point::softlayer_username::softlayer_api_key::softlayer_container_name::mylobs/blob.del of del LOBS FROM Softlayer::softlayer_end_point::softlayer_username::softlayer_api_key::softlayer_container_name::mylobs/ messages on server insert into LOBLOAD')"
Where:
mylobs/ is the directory inside the Softlayer swift object storage container, defined in
LOBLOAD is the table name to be loaded in
Example:
db2 "call sysproc.admin_cmd('load from Softlayer::https://lon02.objectstorage.softlayer.net/auth/v1.0::SLOS424907-2:SL523907::0ac631wewqewre8af20c576ad5214ec70f163d600d247bd5d4dfef5453f72ff6::TestContainer::mylobs/blob.del of del LOBS FROM Softlayer::https://lon02.objectstorage.softlayer.net/auth/v1.0::SLOS424907-2:SL523907::0ac631wewqewre8af20c576ad5214ec70f163d600d247bd5d4dfef5453f72ff6::TestContainer::mylobs/ messages on server insert into LOBLOAD')"