How to create a connection to a BigQuery source siting in another VPC.
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I want to start existing and ongoing replication from source MongoDB to destination RDS Postgres.
All the security network is done and successful.
RDS VPC and DMS VPC are connected using VPC peering, target endpoint test connection status is successful
DMS VPC IP is whitelisted in another AWS account MongoDB server, source endpoint test connection status is successful
In the Endpoint schemas section both database schemas are visible.
Created a DMS migration task to start the migration of one document of MongoDB to Postgres Database.
Premigration assessments were successful.
Empty scheme with the MongoDB schema name got created in PostgresDB.
The table awsdms_apply_execution is also empty in Postgres DB.
But the task shows running with error and error, and cloud watch logs also show no error.
Is there a way where we can connect Azure PostgreSQL DB From HDinsights cluster.
I can see we have an option to have custom metastore when creating HDInsights cluster. But would like to know if there is a way where we can connect Azure PostgreSQL DB From HDinsights cluster (Apart from PostgreSQL JAR) to load some data using spark
In the past I could successfully connect to an AWS RDS PostgresSQL database from Azure Data Factory that has been enabled with a public endpoint.
Recently we have a scenario where an SSH client is created on an bastion host on AWS EC2 Instance which then connects the PostgresSQL database.
So now we need to connect to this PostgresSQL instance from Azure Data Factory via SSH. It seems that the current driver (ODBC PostgreSQL Wire Protocol driver) in ADF only supports SSL, so is there another way to set up an SSH tunnel in Azure and connect via the tunnel to the SSH client in AWS.
So in short :
AZURE ADF ----> PostgresSQL Linked Service ---> SSH Tunnel ---> AWS EC2 SSH --> AWS RDS PostresSQL
Thanks in Advance ....
I dont think you can achieve this at this as it is not supported . I request you to go here and log this ask , so that the ask reaches to the right team .
I need to connect AWS Athena (which is binded to AWS s3 bucket) to a Postgres SQL database.
I have tried to connect with Tableau and PowerBI successfully (following the instructions in documentation) and the result was successful.
I think that I need to use the JDBC connector already installed on my machine and try to create a server in Postgres, but I cannot see any option in pgadmin in order to connect AWS athena to the server.
Any ideas?
Thank you in advance!
I have exported my google Cloud SQL instance to Google Cloud Storage. I have exported the file in the compressed format (.gz) to Cloud Storage bucket. Then after I downloaded to my system and extracted it using 7zip. How can open it in MySQL Workbench to see the database and values. Its file type is shown as instance name.
The exported data from Cloud SQL is similar to what you get from mysqldump. It's basically a series of SQL statements that, when you run it on another server will run all the commands to get from a clean state to the exported state.
I'm not very familiar with MySQL Workbench, but from what I've read it allows you to manage your MySQL database, browsing tables and data. So you may need to upload your exported data to another MySQL server, for example a local one running on your computer.
Note that you could also connect directly from MySQL Workbench to your Cloud SQL instance by requesting an IP for your instance and authorizing the network that you'll connect from.
You can connect directly to your Cloud SQL instance. All you need to do is whitelist your IP address and connect through MySQL Workbench as if it's a normal database instance.
You can whitelist your IP by:
Navigate to https://console.cloud.google.com/sql and select your project.
Go to the Connections tab and Add Network in the Public IP section.
Use the connection details on the Overview tab to connect
Then you can browse your database through Workbench as if it was a local instance.