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
Related
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
I am new in Google Cloud. I created a Cloud SQL Instance and I need to restore the data from a .bak file. I have the .bak file in a GCS bucket, and I am trying to restore using Microsoft Management Studio -> Task -> Restore. But I'm not able to access the file.
Can anyone help me with the procedure on how to restore from a .bak file?
You need to give the Cloud SQL service Account access to the bucket where the file is saved.
On Cloud Shell run the following:
gcloud sql instances describe [INSTANCE_NAME]
On the output search for the field "serviceAccountEmailAddress" an copy the SA email.
Then again on cloud shell run the following:
gsutil iam ch serviceAccount:<<SERVICE_ACCOUNT_EMAIL>:legacyBucketWriter gs://<<BUCKET_NAME>>
gsutil iam ch serviceAccount:<<SERVICE_ACCOUNT_EMAIL>:objectViewer gs://<<BUCKET_NAME>>
That should give the service account permission to access the bucket and retrieve the file, also here is the guide on doing the import, take in mind that doing the import will override all the data on the DB.
Also remember that:
You cannot import a database that was exported from a higher version of SQL Server. For example, if you exported a SQL Server 2017 Enterprise version, you cannot import it into a SQL Server 2017 Standard version.
I'm trying to export my database created in Google Cloud Sql and import it into a new external server.
I tried to create a sql backup through the google console, downloaded it and copied it to the new server via filezilla and then launched the following command:
psql -U postgres -d ciclods-db -1 -f Backup-db_Cloud_SQL_Export_2019-03-23\ \(17_01_19\)
but i get this output:
ERROR: role "cloudsqladmin" does not exist
REVOKE
ERROR: role
"cloudsqlsuperuser" does not exist GRANT
what is the right procedure to follow in these cases?
I have resolved the same problem by locating and deleting the two lines from the exported sql file with "cloudsqladmin". My app does not use it anyway.
to do this task you can follow the official GCP guide about How to export data from Cloud SQL[1] in that document they give you the option to export the data into a dump file or csv files which can be used for other tools.
https://cloud.google.com/sql/docs/mysql/import-export/exporting
In order to create the export file, you have to do it from a command line and use additional flags. As per documentation‘s “Exporting data to a SQL dump file”, there is a section on Exporting data from an externally-managed database server.
As well you can find there the option to export the data into a CSV file.
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...
I'm looking to bulk loads millions of rows into a DashDB database. After connecting using the DB2 CLI, I enter a command like:
db2 import from rowsToImport.csv of del insert into MY_TABLE
with results:
SQL0551N "DASHXXX" does not have the required authorization or privilege to
perform operation "BIND" on object "NULLID.SQLUAJ19". SQLSTATE=42501
Is this an inherent limitation with DashDB, or is something configured incorrectly on my client? I get a similar message when trying db2 load:
SQL2019N An error occurred while utilities were being bound to the database.
p.s. I'm aware of the rest client api for DashDB for loading data - I'm asking specifically how/if bulk loads can be done with the DB2 command line as an alternate option.
As per dashDB documentation you can use the Command line processor plus (CLPPlus). It is included in the dashDB driver package and provides a command-line user interface that you can use to connect to the dashDB database, BLUDB. You can use CLPPlus to define, edit, and run statements, scripts, and commands. Please take also a look at Connecting CLPPlus to the dashDB database to see how to connect and use the CLI.
Please note that in CLPPlus: IMPORT, EXPORT and LOAD commands have a restriction that processed files must be on the server: see here. So you should copy the input load file onto the remote server first with SCP. However SSH/SCP protocol should be blocked (not accessible) for a normal dashDB user.
Only geospatial data can be loaded from your local machine to dashDB, using IDA LOADGEOSPATIALDATA command in CLPPlus.
The file to be loaded in dashDB using the above command can be in the local file system, accessible to the CLPPlus user.
Alternative ways to do that are:
dashDB REST API (as you already mentioned). See Load delimited data using the REST API and cURL.
load the csv directly from the dashDB dashboard on Bluemix. See Loading data from the desktop into IBM dashDB.
load the csv using IBM Data Studio. See dashDB large file load using IBM Data Studio.
According to this technote, the package NULLID.SQLUAJ19 belongs to one of the early DB2 10.1 fix packs, so I suspect your client version is 10.1. When attempting to execute the IMPORT command it needs to bind some packages of that older version, since dashDB is DB2 10.5, obvisouly.
You may want to try installing the latest DB2 client fix pack, as the necessary packages may be already bound in the database.
To verify that you could run select pkgname from syscat.packages where pkgschema = 'NULLID' and pkgname like 'SQLUA%' -- you should see "SQLUAK20", which seems to be the corresponding package in DB2 10.5.
If that doesn't work, your other option might be to move to a dedicated dashDB instance, as you won't have sufficient privileges to bind missing packages in the entry-level shared dashDB service.