![]() ![]() Write-host "Error: " $_.Exception -ForegroundColor RedĮxception type: ManagedBatchParser.ParserExceptionĮrror: ManagedBatchParser.ParserExceptionĪt .ExecutionProcessor. Write-host "Exception message: $($_.Exception.Message)" -ForegroundColor Red Write-host "Exception type: $($_.Exception.GetType().FullName)" -ForegroundColor Red $temp_result_object = invoke-sqlcmd -ConnectionString $new -Query $sql $sql = "SELECT * FROM sys.database_principals" The table underneath will then reflect the result for each query separately. Just type in the query in the text editor as usual and click Run all. $new = 'Server=tcp:,1433 Authentication="Active Directory Integrated" Initial Catalog=xtoiteuitbdbsqldb01 Persist Security Info=False MultipleActiveResultSets=False Encrypt=True TrustServerCertificate=False ' SQLPro Studio also gives you the option to perform multiple queries (even if contradictory) at once and splits the view of your database to show you the results. However, I am getting an error while running the SQL. I believe I am able to login to the SQL database using the connection string with PowerShell. I am using connection string (Active Directory Integrated). We have 100s of Azure SQL database and I want to use PowerShell to make the task fast. Please feel free to raise issues or submit PRs on the MultiQuery GitHub site.My task is to retrieve the users list from our Azure SQL databases. they could be totally different database schemas, but all have an “Audit” table that has “AuditType” and “AuditDate” columns). They don’t even have to have the same schema they just need query compatibility (i.e. This is a useful utility if you need to run a query against multiple databases. In theory, you could run an UPDATE or DELETE query if you used an account with too much access – and you should ensure you don’t deploy this into a situation where it could be accessed by an unauthorised user and used to siphon out large volumes of personal data. read-only access to non-sensitive data) to ensure the tool is not used to export personal information, sensitive data, or change the data in the database. You should use a SQL account with limited permissions (i.e. The input and output files Least privilege The output file will have a column for each of the fields in the field list, plus an extra one to tell you the data source for each row. In the above example the drive letter is c. The only argument to pass to mq is the drive letter. The input file goes in c:\Temp\mq\input.json and the output.csv gets written to the same location (you can set a different drive letter if you wish, see below). This article applies to vertically partitioned databases. The query configuration is just a simple JSON file that takes the SQL query, the target fields, and a list of connection strings. Elastic database query (preview) for Azure SQL Database allows you to run T-SQL queries that span multiple databases using a single connection point. I haven’t tested how far you can stretch this in terms of volumes of data, but it worked for my scenario. The records are yielded back as enumerable data, which means the rows fly out straight into the file without having to load all records into memory at once. Under the hood, it uses plain old connections and commands. NET 6 app, called MultiQuery, that takes in a query configuration and aggregates the data from all databases into a single CSV output file. The application had an install per customer but an occasional requirement to query the whole dataset.Īfter manually getting data from each of these databases once, the next time I needed the data, I decided it was time to apply some automation. ![]() The schema was very similar across all the databases, but each database was on a virtual machine on the network and had its own data. I was working on an issue where I needed to get data from about twenty database instances. ![]()
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