Seen below is the code of how I would create a volatile table when I was coding in Teradata. I liked it because it would be the same structure and format as a normal query, but it would make a temporary table. More specifically, I like how I do not have to specify every single column and data type. I am trying to figure out how to make a similar temporary table in Azure Data Studio without having to define all of my columns. I do not have too much SQL experience and my skills are relatively basic, so any help is appreciated. Thanks! ``` drop table #t_table; create volatile table #t_table as ( SELECT patient.ID, patient.age, patient.sex, ICD.PrimaryICDCode FROM QP.patient LEFT JOIN QP.ICD ON ICD.ID = patient.ID WHERE patient.age > 30 ) with data on commit preserve rows;

SQL Server DB Projects - when created generates the SQL Users scripts, which aren't associated with any SQL Logins but only to DB, without the condition 'WITHOUT LOGIN' and so leading Build error as below, > SQL71501: User: [user1] has an unresolved reference to Login [user1]. Took some days to find this. Is there any settings we can adopt while Importing DB for creating SQL Server DB Project to include accurate Create SQL Users scripts, either with VS / ADS?

Okay. So I'm breaking some new ground and trying to get into Azure Data Studio. I'm having a problem with intellisense that seems to be a bug with Azure Data Studio but I'm not sure. I have issues with basic queries. Foreign keys, select statements and insert statements are all telling me in this example that chocolate_category does not exist, it says it is an invalid object name, or that the foreign key is invalid because the table name is invalid, etcetera. Simply put ADS is erroring on tables that do in fact exist. In this case, I was able to insert data even though the intellisense thinks the table name is invalid. Then I was able to select from the table. Why is this happening and how can I fix this? Control-Shift-R does not work to refresh intellisense. Adding dbo. prefix to the table name does not work either. As you can clearly see in this image, the table exists within the database that I'm located. The query shows an error, however running it puts up a result. If my code works on the table name, then why the error? I have found that it is possible to continue through this error, but it is very annoying to me to be told something is broken that is not broken.

I’m trying to get used to Azure Data Studio after using SSMS for some time, and, so far, I think its interface is very unfinished. I want to change the cell padding, which I didn’t like to begin with, but gets worse if I change the font size. The settings helpfully tells you to edit it in the settings.json file. OK, but the only information there is something like:

"resultsGrid.cellPadding": [
	2,
	8,
	4
],

By experimentation I gather that: - The first figure is the top padding - The second figure is the left padding - You really need to also set resultsGrid.rowHeight to finish the job I suppose the numbers are in pixels, and that they’re not relative but absolute: you need to change them again if you change the font size. What is the meaning of the third figure? I’ve changed it something large, as well as to 0 and I can’t see any difference. I’m trying it out on Windows 10. I’ve also tried it out on the Mac.

I often use Azure Data Studio's **Schema Compare** in lower environments like dev and uat, to get information about the schemas, before I commence with making changes and/or testing. I need to compare the production schema (source of truth for the schema), to the lower environments as well. But, how do I know, that when I run the Schema Compare, I do not impact the production system? How do I know that I would not cause downtime or loss of data? Obviously, if I *apply* a schema update on prod, that would have an impact. But I'm not asking about that, but rather specifically **the comparison operation itself**. I could not find a statement from MS in the docs, that clarifies if Schema Compare is meant to be ran against production databases.

I'm using Azure Data Studio. I created a brand new project and updated it from the database. Made a very small change, and attempted to apply back to the database. I receive the error "The source login in not a member of the 'loginmanager' role. The comparison will be restricted to database scoped elements." I tried granting loginmanager to my user account. I tried turning off every object type except stored procedures (what I'm changing), as others have suggested turning off the security objects (for example, here: https://github.com/microsoft/azuredatastudio/issues/21773) . The full error was: >Apply schema compare changes: Error SQL0: Performing publish is not possible for this comparison result.\ System.AggregateException: One or more errors occurred. (The source login in not a member of the 'loginmanager' role. The comparison will be restricted to database scoped elements.) (Cannot generate deployment plan due to an internal error.)\ ---> System.Exception: The source login in not a member of the 'loginmanager' role. The comparison will be restricted to database scoped elements.\ --- End of inner exception stack trace ---\ ---> (Inner Exception #1) System.Exception: Cannot generate deployment plan due to an internal error. >Error SQL0: Performing publish is not possible for this comparison result. System.AggregateException: One or more errors occurred. (The source login in not a member of the 'loginmanager' role. The comparison will be restricted to database scoped elements.) (Cannot generate deployment plan due to an internal error.)\ ---> System.Exception: The source login in not a member of the 'loginmanager' role. The comparison will be restricted to database scoped elements.\ --- End of inner exception stack trace ---\ ---> (Inner Exception #1) System.Exception: Cannot generate deployment plan due to an internal error.<---

I am trying to start Azure Data Studio(1.46.1) from command line to open a file and connect to server and database. I can get it to work separately: connect with new query azuredatastudio --server servername --database databasename --authenticationType Integrated open file disconnected azuredatastudio "\\server\share\file.sql" but am unable to open file and connect to server. This will open file but not connect to server and database. azuredatastudio --server servername --database databasename --authenticationType Integrated "\\server\share\file.sql" Is there a way to use Azure Data Studio CLI to open and connect to database?

I've been searching for an answer to this, but no one seems to be asking exactly this question. I created a Notebook in ADS to run a lengthy series of scripts to populate and then export from a temp table. I received an error String or binary data would be truncated. One really nice thing about ADS is that it tells you *what* data would be truncated! Anyway, the string was 101 characters long, while the column was defined as varchar(100). So, I increased the column to varchar(255) in SSMS. But ADS continues to give me the same error. I tried changing the connection to another DB, then changing it back - no joy. I tried disconnecting and reconnecting the DB - still no joy. Finally, I had to close and reopen ADS before it would recognize the column change. Any ideas why this might be happening, and how to correct it? Because it's not terribly useful this way.

Trying to copy a database from a hosted server to a local server for testing purposes and am trying to avoid exporting the whole database as a .bacpac file as there are some tables with tens, maybe hundreds of thousands of rows. I've tried looking for ways to export the database as a .bacpac file using only the top X rows of each database without luck. I have similarly had little luck with exporting the database as a .dacpac file and then transferring a select amount of data between the hosted and local servers.

I installed SSMS 19 Preview 4 and it doesn't have a Debug Menu or Debugging option. I also learnt that SSMS V17 was the last version with that capability. Then I decided to try Azure Data Studio, but still not able to see debug option. Can someone direct me how I can debug an SP using Azure Data Studio IDE?

Do you know any way to force intellisence in Azure Data Studio to find tables in custom schemas? As you can see I have tables: - dbo.TableC - schemaA.TableB When typing a query, only TableC is found by intellisence. I know that full SQL Server Management Studio does not do this by default as well but there are some extensions that do this (e.q. SqlComplete). Is there anything for Azure Data Studio with similar functionalities? **Update:** I created an issue on Azure Data Studio github. It's here: https://github.com/microsoft/azuredatastudio/issues/18514

I am trying to connect to SQL server on my network with Azure Data Studio, and I am getting error: *A connection was successfully established with the server, but then an error occurred during the login process. (provider: SSL Provider, error: 0 - The received certificate has expired.)* Connection works through SSMS and I am db_datareader on that server. Azure Data Studio version is 1.30.0 The details of the error: *Microsoft.Data.SqlClient.SqlException (0x80131904): A connection was successfully established with the server, but then an error occurred during the login process. (provider: SSL Provider, error: 0 - The received certificate has expired.) ---> System.ComponentModel.Win32Exception (0x80090328): The received certificate has expired. at Microsoft.Data.SqlClient.SqlInternalConnection.OnError(SqlException exception, Boolean breakConnection, Action 1 wrapCloseInAction) at Microsoft.Data.SqlClient.TdsParser.ThrowExceptionAndWarning(TdsParserStateObject stateObj, Boolean callerHasConnectionLock, Boolean asyncClose) at Microsoft.Data.SqlClient.TdsParserStateObject.ThrowExceptionAndWarning(Boolean callerHasConnectionLock, Boolean asyncClose) at Microsoft.Data.SqlClient.TdsParserStateObject.SNIWritePacket(PacketHandle packet, UInt32& sniError, Boolean canAccumulate, Boolean callerHasConnectionLock) at Microsoft.Data.SqlClient.TdsParserStateObject.WriteSni(Boolean canAccumulate) at Microsoft.Data.SqlClient.TdsParserStateObject.WritePacket(Byte flushMode, Boolean canAccumulate) at Microsoft.Data.SqlClient.TdsParser.TdsLogin(SqlLogin rec, FeatureExtension requestedFeatures, SessionData recoverySessionData, Nullable 1 fedAuthFeatureExtensionData) at Microsoft.Data.SqlClient.SqlInternalConnectionTds.Login(ServerInfo server, TimeoutTimer timeout, String newPassword, SecureString newSecurePassword) at Microsoft.Data.SqlClient.SqlInternalConnectionTds.AttemptOneLogin(ServerInfo serverInfo, String newPassword, SecureString newSecurePassword, Boolean ignoreSniOpenTimeout, TimeoutTimer timeout, Boolean withFailover) at Microsoft.Data.SqlClient.SqlInternalConnectionTds.LoginNoFailover(ServerInfo serverInfo, String newPassword, SecureString newSecurePassword, Boolean redirectedUserInstance, SqlConnectionString connectionOptions, SqlCredential credential, TimeoutTimer timeout) at Microsoft.Data.SqlClient.SqlInternalConnectionTds.OpenLoginEnlist(TimeoutTimer timeout, SqlConnectionString connectionOptions, SqlCredential credential, String newPassword, SecureString newSecurePassword, Boolean redirectedUserInstance) at Microsoft.Data.SqlClient.SqlInternalConnectionTds..ctor(DbConnectionPoolIdentity identity, SqlConnectionString connectionOptions, SqlCredential credential, Object providerInfo, String newPassword, SecureString newSecurePassword, Boolean redirectedUserInstance, SqlConnectionString userConnectionOptions, SessionData reconnectSessionData, Boolean applyTransientFaultHandling, String accessToken, DbConnectionPool pool) at Microsoft.Data.SqlClient.SqlConnectionFactory.CreateConnection(DbConnectionOptions options, DbConnectionPoolKey poolKey, Object poolGroupProviderInfo, DbConnectionPool pool, DbConnection owningConnection, DbConnectionOptions userOptions) at Microsoft.Data.ProviderBase.DbConnectionFactory.CreateNonPooledConnection(DbConnection owningConnection, DbConnectionPoolGroup poolGroup, DbConnectionOptions userOptions) at Microsoft.Data.ProviderBase.DbConnectionFactory.c__DisplayClass47_0.b__0(Task 1 _) at System.Threading.Tasks.ContinuationResultTaskFromResultTask`2.InnerInvoke() at System.Threading.Tasks.Task.c.b__274_0(Object obj) at System.Threading.ExecutionContext.RunInternal(ExecutionContext executionContext, ContextCallback callback, Object state) --- End of stack trace from previous location where exception was thrown --- at System.Threading.ExecutionContext.RunInternal(ExecutionContext executionContext, ContextCallback callback, Object state) at System.Threading.Tasks.Task.ExecuteWithThreadLocal(Task& currentTaskSlot, Thread threadPoolThread) --- End of stack trace from previous location where exception was thrown --- at Microsoft.SqlTools.ServiceLayer.Connection.ReliableConnection.ReliableSqlConnection.c__DisplayClass30_0.b__0>d.MoveNext() in D:\a\1\s\src\Microsoft.SqlTools.ManagedBatchParser\ReliableConnection\ReliableSqlConnection.cs:line 314 --- End of stack trace from previous location where exception was thrown --- at Microsoft.SqlTools.ServiceLayer.Connection.ConnectionService.TryOpenConnection(ConnectionInfo connectionInfo, ConnectParams connectionParams) in D:\a\1\s\src\Microsoft.SqlTools.ServiceLayer\Connection\ConnectionService.cs:line 555 ClientConnectionId: Error Number:-2146893016,State:0,Class:20*

I found a similar question for SQL Server Management Studio . But I use latest Azure Data Studio on macOS. We use on-premises SQL Server (not Azure cloud). How can I use Azure Data Studio to generate an ERD from an existing database?

In SQL Server Management Studio, it is possible to run batch commands when in SQLCMD mode , using the !! command . However, in Azure Data Studio, this does not seem to work (SQLCMD has been available in ADS since version 1.13.0 in November 2019), I'm running ADS as Windows Administrator. **How can I execute batch commands in Azure Data Studio using SQLCMD mode?** Did I miss something, or is there some of the (scarce) documentation I need to read? **- In SQL Server Management Studio:** **- In Azure Data Studio**

**Background** I'm having to connect to a customer's Microsoft SQL Server. I generally don't need to do much in databases besides your average SQL, so using the database features in IntelliJ IDEA have so far been more than sufficient for various PostgreSQL and Orcacle databases. In this case though I was given a heads-up that I will have to change my password first, and when I use IDEA to connect with the credentials I received it does indeed reject them and gives me an error message saying I need to change my password. I was also told to use SQL Server Management Studio (SSMS) to do so. **Problem** SSMS is only for Windows, I'm running a Mac. The SSMS download page refers to Azure Data Studio for use on a different OS. An initial try of the latter did not let me change the password though. Even if I eventually find a way to do it, is there really no other easier way to do this that doesn't involve installing another full-blown db tool that I have no intention of using in the long run? Or worst case: buy a windows computer for the sole purpose of installing SSMS so I can change a password? Surely there must be a bunch of Mac- or Linux-using DBA's that know of a simple command-line tool or alike that allows them to change their password initially on a Microsoft SQL Server, after which they just use their favorite db management tool to access it? **Edit: Note on "duplicate"** I disagree that this is a duplicate of Handle expired SQL login's passwords in SQL Server because: * That question involves an expired password, while I was never able to log in in the first place, nor able to run any sort of SQL prior to logging in * That question involves someone already using SSMS, whereas I've specifically pointed out I cannot use it and I'm asking for an alternative **Additional clarification** * When I said customer, I meant a client that has data that I need to pull. I do not have any sort of admin access to the VM or SQL Server beyond the credentials I was provided * The error I'm getting is *not* a notification while I'm logged in. It's an error preventing me from even connecting, so I cannot run any other SQL or commands whatsoever

Hello I need to create a constraint that chekc the user is 18< before listenning to certain songs but idk how... I tried this : ALTER TABLE Historique_ecoute DROP CONSTRAINT IF EXISTS majorite_utilisateur GO ALTER TABLE Historique_ecoute ADD CONSTRAINT majorite_utilisateur CHECK (not (DATEDIFF(yyyy, Utilisateurs.Date_naissance, GETDATE()) < 18) AND REFmusic = ( select IDmusic FROM Catalogue Where censure = 'YES') ) But I get thoses messages : Msg 1046, Level 15, State 1, Line 244 Subqueries are not allowed in this context. Only scalar expressions are allowed. Msg 4104, Level 16, State 1, Line 255 The multi-part identifier "Catalogue.annee" could not be bound.

On my Mac, I have a docker container running an Ubuntu version of MS SQL. I have a DB running in it and I can access it via Azure Data Studio, and I can view each table individually and export it to CSV using the GUI, but I was hoping to find a way to export all tables to CSV en masse. I have googled it endlessly but have yet to find the command line SQL commands to do this export, and Azure Data Studio seems to only offer one-table-at-a-time exporting. Can anyone help me out here?

In Azure Data Studio, I am trying to change the padding on the cells in the results grid. According to the settings page, this is editable in the settings.json: However, when I navigate to that file there is no mention of padding anywhere. Plus, searching online for the correct option to use gives no results.

In Sql Server Management Studio, we can click a "Parse" button (or Ctrl+F5) to verify that a SQL statement is syntactically correct (without executing it). How can I do it the same in Azure Data Studio?

When I create a database locally in SSMS it does not show up automatically in ADS. I have to add it as a connection each time. Generally I use SSMS but am trying to switch away (or just try for fun) from it to ADS.