Monitor Stretch in SQL Server 2016
Go through my previous article to enable the stretch for your database and table. This article is about how to monitor the stretch. You can monitor the stretch through GUI or DMVs.
We have below DMVs available to monitor the status of the stretch.
select * from sys.remote_data_archive_databases
The above script will provide the details about what is the database name in Azure used for stretch.
select * from sys.remote_data_archive_tables
This will tell you, what is the table name in azure used for stretch.
The above result has column called “filter_predicate”. It means, if apply any predicate function while configure the stretch then you can see that predicate function here. unfortunately, we don’t have option to apply the predicate function in GUI method. It is available when we enable stretch through T-SQL Script.
select * from sys.dm_db_rda_migration_status
This script will tell you about data migration. Data will start migrate from the table once stretch is enabled. Migration will start from on-premises SQL Server to Azure. It is using batch process so it will migrate maximum of 4999 records in a batch. The batch id will be available in Azure table.
To see the live migration, we can use “SP_SPACEUSED”. By seeing the rows and size we can identify the data migration.
You can monitor the stretch using GUI,
Enable Stretch Database in SQL Server 2016
We can enable the stretch feature either through GUI or T-SQL Script. This article will talk about GUI method.
To enable the stretch for your database,
1. You should have Azure subscription
2. If you are using existing SQL Server in Azure then firewall should be enabled.
Steps to enable the stretch,
Step 1: Choose your database which you need to enable stretch and right click –> Tasks –>Stretch –>Enable
Step 2: Create a database credentials, you need to provide the master key. you should use this key whenever you disable or enable the stretch for this database.
Step 3: Select the table which you want to do stretch, you can select multiple tables. This screen will give the information about your table and records in that table and also it will tell you that whether stretch is already enabled or not (Stretched = False).
Step 4: SQL Server settings will be validated here.
Step 5: You need to sign in using your credentials where azure subscription is active. Once sign in, then you need to select Azure SQL Server. You can create a new server or select from existing server.
Step 6: Provide your Azure SQL Server credentials.
Step 7: Finally , SQL Server will configure stretch for your database and table. To verify, check your database icon.
If you get an error while configuring stretch like below, then check the log file. Mostly you will get an error when you are not configured the firewall in Azure SQL Server.
Log file,
[Step by Step] Azure SQL Database Linked Server
As we are familiar with the known concept “Linked Server”. This article is about, how to create a linked server for Azure SQL database.
Make sure the firewall is enabled in Azure SQL Server.
Step 1: Go to SQL Server Management Studio
Step 2: Run the below scripts. This script using a stored procedure “SP_addlinkedserver”.
EXEC sp_addlinkedserver
@server=‘Azure’, –Provide Linked Server Name
@srvproduct=”,
@provider=‘sqlncli’,
@datasrc=‘tcp:<servername>.database.windows.net,1433’, –provide Azure SQl Server name
@location=”,
@provstr=”,
@catalog=‘SQLDB1’ –Provide azure database name
Step 3: Run the below script to provide the SQL Server login for the above created linked server.
exec sp_addlinkedsrvlogin ‘Azure’, ‘FALSE’, NULL, ‘<azure sql server login>’, ‘<sql server password>’;
Step 4: Verify the created linked server.
Step 5: Access the azure SQL database table. You need to use 4 part query. <linked server name>.<database name>.<schema name>.<table name>
In Memory Table in SQL Server
In a normal database, we can not create a in-memory tables. To create a in-memory table, we need to follow the below rules.
1. Create or Alter database to add a memory optimized data file group
2. Add a file into the file group.
Steps to alter your database to support in-memory tables. Before that let us try to create in-memory table in normal database.
Step 1: Alter the database to add memory optimized file group.
ALTER DATABASE [SampleDB] ADD FILEGROUP Analytics_Mode CONTAINS MEMORY_OPTIMIZED_DATA
Step 2: Add a file into the file group. Try to provide the path where SQL Server is installed.
ALTER DATABASE [SampleDB] ADD FILE (name=‘Analytics_Mode’,filename=‘E:\Local_Install_Applications\SQL Server\MSSQL13.MSSQLSERVER\MSSQL\DATA\InMemory1’) TO FILEGROUP Analytics_Mode
In the above script “InMemeory1” is a directory, don’t create this directory manually. The above script will create automatically and will populate the files.
Step 3: Now run the in-memory table script.
CREATE TABLE Account (
ID int NOT NULL PRIMARY KEY NONCLUSTERED,
AccountDescription nvarchar (50),
AccountType nvarchar(50),
Unit int
)
WITH (MEMORY_OPTIMIZED = ON );
GO
Azure Elastic Database Query
We have a new feature called “Elastic Database Query” in Azure SQL Database. By using this option, we can able to perform cross database queries.
It is supporting in Vertical & Horizontal Partitioning. Cross database queries using external data source and table as same as PolyBase in SQL Server 2016.
Scenario:
Consider you have two different databases. These two databases are residing on two different SQL Server in Azure.
SQL Server 1 has database called SQLDB1.
SQL Server 2 has database called SQLDB2.
Inside SQLDB1 database, we have a tabled called “Orders” with few records and SQLDB2 also contain a table called “Customers”.
To access these tables, we need to create a external source and table in any one of the database.
Step by Step Explanation:
Step 1: Create two SQL Server in Azure on same region or different region.
Step 2: Create a database “SQLDB1” in Server1.
Step 3: Create a database “SQLDB2” in Server2.
Step 4: Create a table “Orders” in SQLDB1 (Server1)
CREATE TABLE [dbo].[Orders](
[OrderID] [int] NOT NULL,
[CustomerID] [int] NOT NULL
)
INSERT INTO [dbo].[Orders] ([OrderID], [CustomerID]) VALUES (123, 1)
INSERT INTO [dbo].[Orders] ([OrderID], [CustomerID]) VALUES (149, 2)
INSERT INTO [dbo].[Orders] ([OrderID], [CustomerID]) VALUES (857, 2)
INSERT INTO [dbo].[Orders] ([OrderID], [CustomerID]) VALUES (321, 1)
INSERT INTO [dbo].[Orders] ([OrderID], [CustomerID]) VALUES (564, 8)
Step 5: Create a table “Customers” in SQLDB2 (Server2)
CREATE TABLE [dbo].[Customers](
[CustomerID] [int] NOT NULL,
[CustomerName] [varchar](50) NULL,
[Company] [varchar](50) NULL
CONSTRAINT [CustID] PRIMARY KEY CLUSTERED ([CustomerID] ASC)
)
INSERT INTO [dbo].[Customers] ([CustomerID], [CustomerName], [Company]) VALUES (1, ‘Hari’, ‘ABC’)
INSERT INTO [dbo].[Customers] ([CustomerID], [CustomerName], [Company]) VALUES (2, ‘Raj’, ‘XYZ’)
INSERT INTO [dbo].[Customers] ([CustomerID], [CustomerName], [Company]) VALUES (3, ‘John’, ‘MNO’)
Step 6: Go to Server 1 and create a New Query window and then create database master key and scoped credentials. User name and Password should be Server2 credentials.
CREATE MASTER KEY ENCRYPTION BY PASSWORD = ‘<password>’;
CREATE DATABASE SCOPED CREDENTIAL ElasticDBQueryCred
WITH IDENTITY = ‘<server2 username>’,
SECRET = ‘<password>’;
Step 7: Create a external source in same window (Server 1).
CREATE EXTERNAL DATA SOURCE MyElasticDBQueryDataSrc WITH
(TYPE = RDBMS,
LOCATION = ‘server2.database.windows.net’,
DATABASE_NAME = ‘SQLDB2’,
CREDENTIAL = ElasticDBQueryCred,
) ;
Step 8: Following with External source, create a external table, the definition of the table should be same as customers table in SQLDB2 (Server 2). The table name also should be same.
CREATE EXTERNAL TABLE [dbo].[Customers]
( [CustomerID] [int] NOT NULL,
[CustomerName] [varchar](50) NOT NULL,
[Company] [varchar](50) NOT NULL)
WITH
( DATA_SOURCE = MyElasticDBQueryDataSrc)
Step 9: Access the tables using below script from Server 1.SQDB1.
SELECT Orders.CustomerID, Orders.OrderId, Customers.CustomerName, Customers.Company
FROM Orders
INNER JOIN Customers
ON Customers.CustomerID = Orders.CustomerID
Insights on StretchDB SQL Server CTP 3.3
As we know that, the current version of stretch DB is migrating all the rows from local to Azure database table when there is no filter predicate is applied (in GUI, there is no option for filter predicate, it is possible via T-SQL script). At one point of time, there is no records in local table.
In this situation, we can not get the correct performance while executing the query. I had a chance to see the query execution plan and did some analysis.
I have executed the script when stretch db is not enabled. I took a simple table without any index on it.
Then I enabled the stretch db and included the above table and got the below query plan. At this time, almost all the records were migrated from local to azure.
This was not the execution plan when I see immediately once enabled the stretch. At that time, local table has more records compare than azure.
Issues in Stretch Database–SQL Server 2016 CTP 3.3
In latest version of SQL Server 2016 CTP 3.3, we have issues in Stretch option. I have listed out the issues, hope this will be sorted out before GA (General Available).
Issue 1: No option to move only set of rows to Azure Database. The default option is “Migrate All Rows”. Using inline function, we can apply the condition to split the records but available only through T-SQL Scripts.
Issue 2: Stretch option is not enabled for table even though I enabled the stretch on database with selected tables.
Issue 3: I have enabled the stretch for the database, there is no option to disable in GUI. We have to disable through T-SQL Script
Issue 4: Almost all the time, all the data got migrated to Azure database, in local only 0 record.
First R Script in SQL Server 2016
Follow my previous article to integrate R in SQL Server 2016, Once done then check the R script in SQL Server to make sure integration is done successfully.
Run the below script in SQL Server
CREATE TABLE Sample ([Value] int not null) ON [PRIMARY]
INSERT INTO Sample Values (101);
INSERT INTO Sample Values (102);
INSERT INTO Sample Values (103) ;
GO
execute sp_execute_external_script
@language = N’R’
, @script = N’ OutputDataSet <- InputDataSet;’
, @input_data_1 = N’ SELECT * FROM Sample;’
WITH RESULT SETS (([Value_R] int NOT NULL));
GO
When I run the script, I got below error.
“Unable to communicate with the runtime for ‘R’ script. Please check the requirements of ‘R’ runtime. STDERR message(s) from external script: Fatal error: cannot create ‘R_TempDir’”
To avoid this type of error, check the working directory on Rlauncher.config file
In my case, I have installed in E drive “E:\Local_Install_Applications\SQL Server\MSSQL13.MSSQLSERVER\MSSQL\Binn”
The blue highlighted path will be different if you have installed SQL Server on a different path.
Open the Rlauncher.config file,
make sure your working directory is correct without any extra space and also check the permission for “ExtensibilityData” directory.
Provide similar permission level as above.
Now try to run the same script in SSMS,
