Kicking the tires On tSQLt – An Open-Source Unit Testing Framework for SQL Server Data Validation and Quality Assurance
Introduction
The importance of unit testing does not have to be conveyed to most database developers and data engineers – it’s common knowledge that testing should be an integral part of any project which relies on data quality and integrity. However, in reality, testing is often delegated to a pool of activities which are considered too time consuming and not directly contributing to a project success. Just like documentation, testing is often an afterthought even though it practice is saves money and time and can be reliably integrated into DevOps pipelines (continuous testing) alongside continuous delivery and continuous integration.
Unit testing is a software testing method which aims to test a discrete piece of code. The word “unit” refers to the smallest piece of code that can be tested separately, for example, a function or a procedure that can be tested in isolation. In a database solution, the “unit” is typically a stored procedure, a trigger or a user-defined function. Each test must verify one condition at a time. Tests should reflect software requirements. If we do so we will get a series of discrete tests by each unit. Verifying one condition at a time, it will be possible to identify which conditions have not been verified and which ones meet the requirements, confirming whether all the individual parts work.
tSQLt is a powerful, open-source framework for SQL Server unit testing and it has become a vital part of the modern database development approach. It’s free to use, integrates well into Microsoft SQL Server landscape and does not require developers to learn other programming languages or platforms. Unit tests are automatically executed in the transaction log – we don’t need any data clean-up work after the unit tests because every data manipulation process is rolled back. Additionally, tSQLt allows using mocked (fake) objects (a mocked object simulates the real object’s behavior so the tested objects do not affect other dependencies) and can be integrated into SSDT projects or 3rd party software. There are other unit testing frameworks out there which offer more functionality and wider use case coverage e.g. the GreatExpectations, however, these often rely on extensive configuration stored in JSON and YAML files, Python interpreter with additional dependencies and libraries installed and familiarity with Python programming concepts. This makes tSQLt a great, self-contained, SQL-based tool which can be easily integrated into most workflows with minimal fuss.
In this post I’ll outline how to approach unit testing of a Data Warehouse built on Microsoft SQL Server platform and outline some of the strategies for data validation and QA.
Environment Prep and tSQLt framework installation
Setting up tSQLt is pretty straightforward but to demonstrate its functionality on a sample database, we will start with downloading the venerable WideWorldImporters (WWI) database backup file for Azure SQL DB and deploying it in Azure – this will be our source. Additionally, we will also download and deploy WideWorldImporters SQL Server 2016 (OLTP) and data warehouse (OLAP) database backups and restore those in our target environment. The link to the aforementioned files on the Microsoft’s GitHub repo is HERE. I won’t go into the process of restoring individual databases on both environments in this post but when finished, we should have the sample WWI SQL DB in Azure in both – Azure and the local environment, mirroring our source and target, as well as WWI DW database in a local environment only. The two can be interfaced using a Linked Server functionality so that we can compare our source and target as part of our data acquisition unit testing.
We will install tSQLt is in the WWI DW database for this demo. I’d personally prefer to have a logical isolation across the suite of tests and DW objects and place tSQLt in its own “workspace” but in this case we’re following best practices and tSQLt schema with all its associated objects will be co-located with the DW tables and stored procedures.
Installing tSQLt is comprised of only a few steps:
- Download the latest version of tSQLt framework and extract the zipped-up file content
- Execute PrepareServer.sql file
- Execute tSQLt.class.sql
Once we have the framework in place we can create a Linked Server connection to the Azure-hosted database. With this setup, we now have an environment which resembles some of the staple Microsoft SQL Server deployments – WWI Azure SQL DB (OLTP) serving as our remote data source and WWI and WWI DW database (local) serving as our staging/landing and data warehouse databases.
Testing Framework Architecture Components
The following diagram (click on image to enlarge) outlines basic architecture components behind the collection of tests, in tSQLt also known as classes. Is identifies four principal domains which provide a logical container for a suite of tests:
- Test Landing zone objects’ existence
- Test DW zone objects’ existence
- Test primary keys across Landing DW zones align and match – denotes all data has been successfully acquired
- Test business transformation rules
tSQLt comes with a plethora of other assertions and expectations-based features but in this instance, we will limit the scope to the above four applications. The four classes (implemented as schemas) we will generate will fulfill the following testing functions:
_wwi_local_objects – this test class generates assertion-based stored procedures for testing WWI OLTP database objects existence in the local environment. Each individual stored procedure is created by a “parent“ create_landing_objects_tests stored procedure which loops over objects stored in Azure-provisioned WWI database table to source the external metadata and compare it to the local version. It uses tSQLt.AssertObjectExists tSQLt built-in assertion and throws an error (test failed output) if expected local object name is not present in the target database. Typically, this information should come from a dedicated metadata database which stores more than just object names, but for simplicity, in this case it’s a simple SELECT over the Linked Server pointing to Azure SQL DB.
/*
1. Create _wwi_local_objects test class and associated stored procedures
*/
EXEC tSQLt.NewTestClass '_wwi_local_objects';
GO
CREATE OR ALTER PROCEDURE _wwi_local_objects.[create_wwi_local_objects_tests]
AS
BEGIN
DECLARE @Local_Object_Name VARCHAR(256);
DECLARE @Local_Schema_Name VARCHAR (56);
DECLARE @Local_DB_Name VARCHAR (256)
DECLARE @SQL NVARCHAR(MAX);
DECLARE db_cursor CURSOR FOR
SELECT *
FROM OPENQUERY([WWI], 'SELECT TRIM(LOWER(TABLE_NAME)),
TRIM(LOWER(TABLE_SCHEMA)),
TRIM(LOWER(TABLE_CATALOG))
FROM WideWorldImporters.INFORMATION_SCHEMA.TABLES')
OPEN db_cursor;
FETCH NEXT FROM db_cursor
INTO @Local_Object_Name, @Local_Schema_Name, @Local_DB_Name
WHILE @@FETCH_STATUS = 0
BEGIN
SET @SQL = N'CREATE OR ALTER PROCEDURE _wwi_local_objects.[test that ' + @Local_Object_Name + ' object exists] AS ' +CHAR (13)
SET @SQL = @SQL + N'BEGIN ' +CHAR (13)
SET @SQL = @SQL + 'EXEC tSQLt.AssertObjectExists ' +CHAR (13)
SET @SQL = @SQL + '@objectName = '''+ @Local_DB_Name+'.'+ @Local_Schema_Name+'.'+ @Local_Object_Name+''' ' +CHAR (13)
SET @SQL = @SQL + ',@message = ''Nominated object '''''+@Local_Object_Name+''''' cannot be found in ' +CHAR (13)
SET @SQL = @SQL + ''''''+@Local_Schema_Name+''''' schema and '''''+@Local_DB_Name+''''' database.'' ' +CHAR (13)
SET @SQL = @SQL + 'END';
EXEC (@SQL)
FETCH NEXT FROM db_cursor
INTO @Local_Object_Name, @Local_Schema_Name, @Local_DB_Name;
END;
CLOSE db_cursor;
DEALLOCATE db_cursor;
END;
GO
EXEC _wwi_local_objects.[create_wwi_local_objects_tests]
GO
--EXEC tSQLt.Run '_wwi_local_objects'
_dw_objects – this test class generates assertion-based stored procedures for testing WWI DW objects existence. Each individual stored procedure is created by a “parent“ create_dw_objects_tests stored procedure which loops over WWI DW metadata output. It uses tSQLt.AssertObjectExists tSQLt built-in assertion and throws an error (test failed output) if expected WWI DW object name is not present in the target database. Just as the previous class, this information should be coming from a dedicated metadata catalog and not system views but for this demo, it’s the simplest possible configuration we’re after.
/*
2. Create _wwidw_objects test class and associated stored procedures
*/
EXEC tSQLt.NewTestClass '_wwidw_objects';
GO
CREATE OR ALTER PROCEDURE _wwidw_objects.[create_dw_objects_tests]
AS
BEGIN
DECLARE @Local_Object_Name VARCHAR(256);
DECLARE @Local_Schema_Name VARCHAR (56);
DECLARE @Local_DB_Name VARCHAR (256)
DECLARE @SQL NVARCHAR(MAX);
DECLARE db_cursor CURSOR FOR
SELECT TRIM(LOWER(TABLE_CATALOG)),
TRIM(LOWER(TABLE_SCHEMA)),
TRIM(LOWER(TABLE_NAME))
FROM WideWorldImportersDW.INFORMATION_SCHEMA.TABLES
OPEN db_cursor;
FETCH NEXT FROM db_cursor
INTO @Local_DB_Name, @Local_Schema_Name,@Local_Object_Name
WHILE @@FETCH_STATUS = 0
BEGIN
SET @SQL = N'CREATE OR ALTER PROCEDURE _wwidw_objects.[test that ' + @Local_Object_Name + ' object exists] AS ' +CHAR (13)
SET @SQL = @SQL + N'BEGIN ' +CHAR (13)
SET @SQL = @SQL + 'EXEC tSQLt.AssertObjectExists ' +CHAR (13)
SET @SQL = @SQL + '@objectName = '''+ @Local_DB_Name+'.'+ @Local_Schema_Name+'.'+ @Local_Object_Name+''' ' +CHAR (13)
SET @SQL = @SQL + ',@message = ''Nominated object '''''+@Local_Object_Name+''''' cannot be found in ' +CHAR (13)
SET @SQL = @SQL + ''''''+@Local_Schema_Name+''''' schema and '''''+@Local_DB_Name+''''' database.'' ' +CHAR (13)
SET @SQL = @SQL + 'END';
EXEC (@SQL)
FETCH NEXT FROM db_cursor
INTO @Local_DB_Name, @Local_Schema_Name,@Local_Object_Name
END;
CLOSE db_cursor;
DEALLOCATE db_cursor;
END;
GO
EXEC _wwidw_objects.[create_dw_objects_tests]
GO
--EXEC tSQLt.Run '_wwidw_objects'
_oltp_to_dw_pks – this test class generates assertion-based stored procedures for testing source (Azure hosted) to local WWI database primary key values comparison. It uses metadata extracted from SQL Server system views to source primary key(s) for each table and tSQLt.AssertEqualsTable built-in assertion to compare their values for each object nominated object.
/*
3. Create _wwi_remote_to_wwi_local_pks test class and associated stored procedures
*/
EXEC tSQLt.NewTestClass '_wwi_remote_to_wwi_local_pks';
GO
CREATE OR ALTER PROCEDURE _wwi_remote_to_wwi_local_pks.[create_wwi_remote_to_wwi_local_objects_pks_tests]
AS
BEGIN
DECLARE @Error_Message NVARCHAR (MAX)
DECLARE @SQL NVARCHAR(MAX)
DECLARE @Source_Server_Name NVARCHAR (1024) = 'WWI'
DECLARE @Source_DB_Name NVARCHAR (1024) = 'WideWorldImporters'
DECLARE @Source_Schema_Name NVARCHAR (1024) = 'WideWorldImporters'
DECLARE @Local_Schema_Name NVARCHAR (1024)= 'dbo'
DECLARE @Local_DB_Name VARCHAR (1024) = 'WideWorldImporters'
IF OBJECT_ID('tempdb..##exclude_tables') IS NOT NULL
BEGIN
DROP TABLE ##exclude_tables;
END;
CREATE TABLE ##exclude_tables
(
table_name VARCHAR(256)
);
INSERT INTO ##exclude_tables
(
table_name
)
SELECT 'ColdRoomTemperatures'
UNION ALL
SELECT 'VehicleTemperatures';
IF OBJECT_ID('tempdb..#temp_oltp_to_dw_metadata') IS NOT NULL
BEGIN
DROP TABLE #temp_oltp_to_dw_metadata;
END;
CREATE TABLE #temp_oltp_to_dw_metadata
(
[id] INT IDENTITY(1, 1),
[object_name] VARCHAR(256) NOT NULL,
[schema_name] VARCHAR(256) NOT NULL,
[db_name] VARCHAR(256) NOT NULL,
[primary_keys] VARCHAR(256) NOT NULL,
[origin] VARCHAR(56) NOT NULL
);
SET @SQL = 'WITH temp_data AS (SELECT * '
SET @SQL = @SQL + 'FROM OPENQUERY(' + @Source_Server_Name + ',''SELECT ' +CHAR(13)
SET @SQL = @SQL + 't.name as table_name, c.name AS column_name, ss.name as schema_name, ' +CHAR(13)
SET @SQL = @SQL + 'tp.name AS data_type ,c.max_length AS character_maximum_length, ' +CHAR(13)
SET @SQL = @SQL + 'CASE WHEN indx.object_id IS NULL THEN 0 ELSE 1 END AS ''''is_primary_key'''' ' +CHAR(13)
SET @SQL = @SQL + 'FROM sys.tables t' +CHAR(13)
SET @SQL = @SQL + 'JOIN sys.columns c ON t.object_id = c.object_id' +CHAR(13)
SET @SQL = @SQL + 'JOIN sys.types tp ON c.user_type_id = tp.user_type_id' +CHAR(13)
SET @SQL = @SQL + 'JOIN sys.objects so ON so.object_id = t.object_id' +CHAR(13)
SET @SQL = @SQL + 'JOIN sys.schemas ss ON so.schema_id = ss.schema_id' +CHAR(13)
SET @SQL = @SQL + 'LEFT JOIN (SELECT ic.object_id, ic.column_id ' +CHAR(13)
SET @SQL = @SQL + 'FROM sys.indexes AS i ' +CHAR(13)
SET @SQL = @SQL + 'INNER JOIN sys.index_columns AS ic ' +CHAR(13)
SET @SQL = @SQL + 'ON i.OBJECT_ID = ic.OBJECT_ID AND i.index_id = ic.index_id ' +CHAR(13)
SET @SQL = @SQL + 'WHERE i.is_primary_key = 1) indx ON so.object_id = indx.object_id AND c.column_id = indx.column_id ' +CHAR(13)
SET @SQL = @SQL + 'WHERE t.is_memory_optimized <> 1 AND tp.is_user_defined = 0 ' +CHAR(13)
SET @SQL = @SQL + 'AND t.type = ''''u'''''' ) a) ' +CHAR(13)
SET @SQL = @SQL + 'INSERT INTO #temp_oltp_to_dw_metadata (db_name,schema_name,object_name,primary_keys,origin)' +CHAR(13)
SET @SQL = @SQL + 'SELECT '''+@Source_DB_Name+''' as remote_db_name, ' +CHAR(13)
SET @SQL = @SQL + 'schema_name AS remote_schema_name, table_name AS remote_table_name ' +CHAR(13)
SET @SQL = @SQL + ', STRING_AGG(column_name, '','') WITHIN GROUP (ORDER BY column_name ASC) AS primary_keys ' +CHAR(13)
SET @SQL = @SQL + ', ''Remote'' as Origin' +CHAR(13)
SET @SQL = @SQL + 'FROM temp_data WHERE is_primary_key = 1 ' +CHAR(13)
SET @SQL = @SQL + 'AND table_name COLLATE DATABASE_DEFAULT NOT IN (SELECT table_name FROM ##exclude_tables) ' +CHAR(13)
SET @SQL = @SQL + 'GROUP BY table_name, schema_name' +CHAR(13)
EXEC(@SQL)
SET @SQL = ''
SET @SQL = @SQL + 'WITH temp_data AS (SELECT * FROM (SELECT t.name as table_name, ss.name as schema_name, ' +CHAR(13)
SET @SQL = @SQL + 'c.name AS column_name, tp.name AS data_type,' +CHAR(13)
SET @SQL = @SQL + 'c.max_length AS character_maximum_length, CASE WHEN indx.object_id IS NULL ' +CHAR(13)
SET @SQL = @SQL + 'THEN 0 ELSE 1 END AS ''is_primary_key''' +CHAR(13)
SET @SQL = @SQL + 'FROM '+@Local_DB_Name+'.sys.tables t' +CHAR(13)
SET @SQL = @SQL + 'JOIN '+@Local_DB_Name+'.sys.columns c ON t.object_id = c.object_id ' +CHAR(13)
SET @SQL = @SQL + 'JOIN '+@Local_DB_Name+'.sys.types tp ON c.user_type_id = tp.user_type_id ' +CHAR(13)
SET @SQL = @SQL + 'JOIN '+@Local_DB_Name+'.sys.objects so ON so.object_id = t.object_id ' +CHAR(13)
SET @SQL = @SQL + 'JOIN '+@Local_DB_Name+'.sys.schemas ss ON so.schema_id = ss.schema_id ' +CHAR(13)
SET @SQL = @SQL + 'LEFT JOIN (SELECT ic.object_id, ic.column_id ' +CHAR(13)
SET @SQL = @SQL + 'FROM '+@Local_DB_Name+'.sys.indexes AS i INNER JOIN '+@Local_DB_Name+'.sys.index_columns AS ic ON ' +CHAR(13)
SET @SQL = @SQL + 'i.OBJECT_ID = ic.OBJECT_ID AND i.index_id = ic.index_id ' +CHAR(13)
SET @SQL = @SQL + 'WHERE i.is_primary_key = 1) indx ON so.object_id = indx.object_id AND c.column_id = indx.column_id ' +CHAR(13)
SET @SQL = @SQL + 'WHERE t.type = ''u'' AND t.is_memory_optimized <> 1 AND tp.is_user_defined = 0)a)' +CHAR(13)
SET @SQL = @SQL + 'INSERT INTO #temp_oltp_to_dw_metadata (db_name,schema_name,object_name,primary_keys,origin)' +CHAR(13)
SET @SQL = @SQL + 'SELECT '''+@Local_DB_Name+''' as db_name, ' +CHAR(13)
SET @SQL = @SQL + 'schema_name AS schema_name, table_name AS object_name ' +CHAR(13)
SET @SQL = @SQL + ', STRING_AGG(column_name, '','') WITHIN GROUP (ORDER BY column_name ASC) AS primary_keys, ' +CHAR(13)
SET @SQL = @SQL + '''Local'' as Origin' +CHAR(13)
SET @SQL = @SQL + 'FROM temp_data ' +CHAR(13)
SET @SQL = @SQL + 'WHERE table_name COLLATE DATABASE_DEFAULT NOT IN (SELECT table_name FROM ##exclude_tables) ' +CHAR(13)
SET @SQL = @SQL + 'AND is_primary_key = 1 GROUP BY table_name, schema_name' +CHAR(13)
EXEC(@SQL)
IF EXISTS
(
SELECT a.[object_name], a.primary_keys
FROM #temp_oltp_to_dw_metadata a
WHERE a.[Origin] = 'Remote'
EXCEPT
SELECT b.[object_name], b.primary_keys
FROM #temp_oltp_to_dw_metadata b
WHERE b.[Origin] = 'Local'
)
AND NOT EXISTS (SELECT TOP (1) 1 FROM #temp_oltp_to_dw_metadata)
BEGIN
SET @Error_Message
= 'Tables and their corresponding primary keys cannot be reconciled between "' + @Local_DB_Name
+ '" database and "' + @Local_DB_Name
+ '" database. Please troubleshoot!';
RAISERROR( @Error_Message, -- Message text.
16, -- Severity.
1 -- State.
);
RETURN;
END;
DECLARE @object_name VARCHAR(256);
DECLARE @schema_name VARCHAR (56);
DECLARE @db_name VARCHAR (256);
DECLARE @primary_keys VARCHAR (1024);
DECLARE @Object_Data_Percentage VARCHAR(3) = '100'
DECLARE db_cursor CURSOR FOR
SELECT [db_name], [schema_name], [Object_Name], [Primary_Keys]
FROM #temp_oltp_to_dw_metadata
WHERE [Origin] = 'remote'
OPEN db_cursor;
FETCH NEXT FROM db_cursor
INTO @db_name, @schema_name,@object_name, @Primary_keys
WHILE @@FETCH_STATUS = 0
BEGIN
SET @SQL = ''
SET @SQL = @SQL + 'CREATE OR ALTER PROCEDURE _wwi_remote_to_wwi_local_pks.[test that primary keys for ' + @Object_Name + ' match across source and target] AS ' +CHAR (13)
SET @SQL = @SQL + 'BEGIN ' +CHAR (13)
SET @SQL = @SQL + 'DROP TABLE IF EXISTS #remote_' + LOWER(@Object_Name) + '' +CHAR (13)
SET @SQL = @SQL + 'SELECT '+@Primary_Keys+' INTO #remote_' + LOWER(@Object_Name) + '' +CHAR (13)
SET @SQL = @SQL + 'FROM OPENQUERY(' + @Source_Server_Name + ',''SELECT TOP '+@Object_Data_Percentage+' PERCENT ' +CHAR (13)
SET @SQL = @SQL + ''+@Primary_Keys+' FROM ' +CHAR (13)
SET @SQL = @SQL + ''+@DB_Name+'.'+@Schema_Name+'.'+@Object_Name+''')' +CHAR (13)
SET @SQL = @SQL + 'DROP TABLE IF EXISTS #local_' + @Object_Name + '' +CHAR (13)
SET @SQL = @SQL + 'SELECT TOP '+@Object_Data_Percentage+' PERCENT '+@Primary_Keys+' INTO #local_'+@Object_Name+'' +CHAR (13)
SET @SQL = @SQL + 'FROM '+@db_name+'.'+@schema_name+'.'+@object_name+'' +CHAR (13)
SET @SQL = @SQL + 'EXEC tSQLt.AssertEqualsTable @Expected = #remote_'+@object_name+', @Actual = #local_'+@object_name+'' +CHAR (13)
SET @SQL = @SQL + ',@message = ''The primary keys comparison for ' + @Object_Name + ' table resulted in differences being detected.''' +CHAR (13)
SET @SQL = @SQL + 'END' +CHAR (13)
EXEC (@SQL)
FETCH NEXT FROM db_cursor
INTO @DB_Name, @Schema_Name,@Object_Name, @Primary_Keys
END;
CLOSE db_cursor;
DEALLOCATE db_cursor;
END;
GO
EXEC _wwi_remote_to_wwi_local_pks.[create_wwi_remote_to_wwi_local_objects_pks_tests]
GO
--EXEC tSQLt.Run '_wwi_remote_to_wwi_local_pks'
_wwi_to_wwidw_businessrules – this test class is used for custom business rules validation and comparison across WWI and WWI DW databases. Each test case corresponds to a rule which mostly dictates that a source-to-target comparison is made between a value or a series of values and conforming to an expected result based on a predefined business logic. In the below examples, we’re comparing sales/order quantities, tax and customer ids or city ids across WideWorldImporters (OLTP) and WideWorldImportersDW (OLAP) databases to ensure that the transformed data (facts and dimensions) persisted in the DW database is in line with its raw counterpart in the transactional layer. Also, to simplify the SQL code, I only included the first 100 records across both data sets as denoted by the SELECT TOP 100 statetements. This is due to an additional logic required to reconcile source and target outputs for all the records – not really relevant for this demo but something that ought to be removed in a typical testing scenario where all-encompassing (not partial) testing is required.
/*
4. Create _wwi_to_wwdw_business_rules test class and associated stored procedures
*/
EXEC tSQLt.NewTestClass '_wwi_to_wwidw_businessrules';
GO
CREATE OR ALTER PROCEDURE _wwi_to_wwidw_businessrules.[test that sales quantity, tax and customer id values match across source and target]
AS
BEGIN
DROP TABLE IF EXISTS #source;
SELECT TOP 100
SUM(il.Quantity) AS sales_quantity,
SUM(il.ExtendedPrice - il.TaxAmount) AS total_excluding_tax,
SUM(il.ExtendedPrice) AS total_including_tax,
c.CustomerID AS customer_id
INTO #source
FROM [WideWorldImporters].Sales.Invoices AS i
INNER JOIN [WideWorldImporters].Sales.InvoiceLines AS il
ON i.InvoiceID = il.InvoiceID
INNER JOIN [WideWorldImporters].Sales.Customers AS c
ON i.CustomerID = c.CustomerID
GROUP BY c.CustomerID
ORDER BY c.CustomerID;
DROP TABLE IF EXISTS #target;
SELECT TOP 100
SUM(fs.Quantity) AS sales_quantity,
SUM(fs.[Total Excluding Tax]) AS total_excluding_tax,
SUM(fs.[Total Including Tax]) AS total_including_tax,
dc.[WWI Customer ID] AS customer_id
INTO #target
FROM WideWorldImportersDW.Fact.[Sale] fs
JOIN WideWorldImportersDW.Dimension.Customer dc
ON fs.[Customer Key] = dc.[Customer Key]
WHERE dc.[WWI Customer ID] <> 0
GROUP BY dc.[WWI Customer ID]
ORDER BY dc.[WWI Customer ID];
EXEC tSQLt.AssertEqualsTable @Expected = #source,
@Actual = #target,
@Message = 'Sales data reconciliation between WideWorldImporters and WideWorldImportersDW resulted in differences being detected.';
END;
CREATE OR ALTER PROCEDURE _wwi_to_wwidw_businessrules.[test that order quantity, tax and city id/name values match across source and target]
AS
BEGIN
DROP TABLE IF EXISTS #source;
SELECT TOP 100
SUM(ol.Quantity) AS quantity,
SUM(ol.UnitPrice) AS total_unit_price,
SUM(ROUND(ol.Quantity * ol.UnitPrice, 2)) AS total_excluding_tax,
SUM(ROUND(ol.Quantity * ol.UnitPrice, 2) + ROUND(ol.Quantity * ol.UnitPrice * ol.TaxRate / 100.0, 2)) AS total_including_tax,
c.DeliveryCityID AS wwi_city_id,
ci.CityName AS city
INTO #source
FROM [WideWorldImporters].Sales.Orders AS o
INNER JOIN [WideWorldImporters].Sales.OrderLines AS ol
ON o.OrderID = ol.OrderID
INNER JOIN [WideWorldImporters].Sales.Customers AS c
ON c.CustomerID = o.CustomerID
INNER JOIN [WideWorldImporters].[Application].[Cities] ci
ON c.DeliveryCityID = ci.CityID
GROUP BY c.DeliveryCityID,
ci.CityName
ORDER BY c.DeliveryCityID;
DROP TABLE IF EXISTS #target;
SELECT TOP 100
SUM([Quantity]) AS quantity,
SUM([Unit Price]) AS total_unit_price,
SUM([Total Excluding Tax]) AS total_excluding_tax,
SUM([Total Including Tax]) AS total_including_tax,
dc.[WWI City ID] AS wwi_city_id,
dc.City AS city
INTO #target
FROM WideWorldImportersDW.Fact.[Order] fo
JOIN WideWorldImportersDW.Dimension.City dc
ON fo.[City Key] = dc.[City Key]
GROUP BY dc.[WWI City ID],
dc.City
ORDER BY dc.[WWI City ID];
EXEC tSQLt.AssertEqualsTable @Expected = #source,
@Actual = #target,
@Message = 'Order data reconciliation between WideWorldImporters and WideWorldImportersDW resulted in differences being detected.';
END;
--EXEC tSQLt.Run '_wwi_to_wwidw_businessrules';
_wwi_local_objects, _dw_objects and _oltp_to_dw_pks classes’ tests are auto-generated based on rules defined in a “parent” stored procedures. This means each test case is created following the same pattern and the output stored procedures are structurally the same. For example, _target_objects class (schema) generates “children” stored procedures, each of those responsible for an isolated testing unit.
_wwi_to_wwidw_businessrules class of tests, on the other hand, requires SQL to follow business rules applied to the transformation pipelines and cannot be auto generated from metadata.
Now that we have all the pieces of the puzzle in place, let’s run all the tests across the four classes we generated and see if we have any issues with the underlying data. In order to run all tests in sequence we issue EXEC tSQLt.RunALL command and after a short while, the following output should be generated in SSMS (click on image to enlarge).
As we can see, all but one tests were successful. The one which failed is the result of Azure SQL DB specific table being present in the source WWI database and since this table only applies to Azure MI and Azure SQL DB, next time, we can add it to our exclusion rules. Another important note to raise is that in the above demo examples, object names and associated schemas and databases were sourced directly from system tables. In a real world scenario, all this information should be stored in a metadata catalog – the main source for reference and control data.
Reporting
tSQLt framework captures test run history in a TestResult table, however due to ephemeral nature of this data, every time a test of suite of tests are run, this data is purged. Additionally, we may want to augment this data with additional attributes and turn it into a reporting data source. This way, long-term longitudinal analytics can draw from a series of test executions, enabling administrators to pinpoint areas of concerns or where repeating issues have been occuring. For this reason, we will create an additional schema and table mimicking TestResult output (for long-term data retention), add a few columns storing additional information we can use in our visualization tool and finally create a view which ties it all together.
/*
1. Create tSQLtRunHistory database schema and TestResults reporting table
*/
CREATE SCHEMA [tSQLtRunHistory];
GO
CREATE TABLE [tSQLtRunHistory].[TestResults]
(
[Id] [BIGINT] IDENTITY(1, 1) NOT NULL,
[Server] [NVARCHAR](MAX) NOT NULL,
[LoginUserName] [VARCHAR](MAX) NOT NULL,
[HostName] [VARCHAR](MAX) NOT NULL,
[Database] [VARCHAR](MAX) NOT NULL,
[Class] [NVARCHAR](MAX) NOT NULL,
[TestCase] [NVARCHAR](MAX) NOT NULL,
[Name] AS ((QUOTENAME([Class]) + '.') + QUOTENAME([TestCase])),
[TranName] [NVARCHAR](MAX) NULL,
[Result] [NVARCHAR](MAX) NULL,
[Msg] [NVARCHAR](MAX) NULL,
[TestStartTime] [DATETIME2](7) NOT NULL,
[TestEndTime] [DATETIME2](7) NULL,
CONSTRAINT [pk_tsqltrunhistory_testresults]
PRIMARY KEY CLUSTERED ([Id] ASC)
WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON,
ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF
) ON [PRIMARY]
) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY];
GO
ALTER TABLE [tSQLtRunHistory].[TestResults]
ADD CONSTRAINT [df_testresults(TestStartTime)]
DEFAULT (SYSDATETIME()) FOR [TestStartTime];
GO
/*
2. Create tSQLtRunHistory vw_TestResults reporting view
*/
CREATE VIEW [tSQLtRunHistory].[vw_TestResults]
AS
SELECT [Id],
[Server] AS Server_Name,
[LoginUserName] AS User_Name,
[HostName] AS Host_Name,
[Database],
[Class] AS Test_Class,
[TestCase] AS Test_Case_Name,
[Name] AS Class_Test_Case_Name,
[TranName] AS Transaction_Name,
[Result] AS Test_Result,
CASE
WHEN [Msg] IS NULL
OR [Msg] = '' THEN
'Nominal Results Recorded.'
ELSE
[Msg]
END AS Output_Message,
CASE
WHEN [Class] IN ( '_wwi_local_objects', '_wwidw_objects' )
AND [TestCase] LIKE 'test that%' THEN
LOWER(SUBSTRING(
[TestCase],
CHARINDEX('test that', [TestCase]) + LEN('test that'),
CHARINDEX('object exists', [TestCase]) - LEN('object exists') + 2
)
)
WHEN [Class] IN ( '_wwi_remote_to_wwi_local_pks' )
AND [TestCase] LIKE 'test that%' THEN
LOWER(SUBSTRING(
[TestCase],
CHARINDEX('test that primary keys for', [TestCase])
+ LEN('test that primary keys for'),
CHARINDEX('match across source and target', [TestCase])
- LEN('match across source and target') + 2
)
)
ELSE
'Unspecyfied object'
END AS Tested_Object_Name,
[TestStartTime] AS Test_Start_Date_Time,
[TestEndTime] AS Test_End_Date_Time,
CAST([TestEndTime] AS DATE) AS Test_End_Date,
[Year_Month_Number] = CAST(DATENAME(YEAR, [TestEndTime]) + FORMAT([TestEndTime], 'MM') AS INT),
[Month_Year_Name] = LEFT(DATENAME(MONTH, [TestEndTime]), 3) + ' - ' + DATENAME(YEAR, [TestEndTime])
FROM [tSQLtRunHistory].[TestResults];
GO
/*
3. Make appropriate changes to the tSQLt framework to account for the new reporting tables and how tests execution data is logged/stored
*/
ALTER PROCEDURE [tSQLt].[NullTestResultFormatter]
AS
BEGIN
INSERT INTO [tSQLtRunHistory].[dbo].[TestResults]
(
[Server],
[LoginUserName],
[HostName],
[Database],
[Class],
[TestCase],
[TranName],
[Result],
[Msg],
[TestStartTime],
[TestEndTime]
)
SELECT @@SERVERNAME,
SUSER_NAME(),
HOST_NAME(),
DB_NAME(),
[Class],
[TestCase],
[TranName],
[Result],
[Msg],
[TestStartTime],
[TestEndTime]
FROM [tSQLt].[TestResult];
RETURN 0;
END;
GO
CREATE OR ALTER PROCEDURE [tSQLt].[SaveTestResultFormatter]
AS
BEGIN
INSERT INTO [tSQLtRunHistory].[TestResults]
(
[Server],
[LoginUserName],
[HostName],
[Database],
[Class],
[TestCase],
[TranName],
[Result],
[Msg],
[TestStartTime],
[TestEndTime]
)
SELECT @@SERVERNAME,
SUSER_NAME(),
HOST_NAME(),
DB_NAME(),
[Class],
[TestCase],
[TranName],
[Result],
[Msg],
[TestStartTime],
[TestEndTime]
FROM [tSQLt].[TestResult];
END;
GO
DECLARE @RC INT;
DECLARE @Formatter NVARCHAR(4000);
SET @Formatter = N'tSQLt.SaveTestResultFormatter'; --'tSQLt.DefaultResultFormatter'
EXECUTE @RC = [tSQLt].[SetTestResultFormatter] @Formatter;
GO
Once we have enough data accrued, we can visualize it using any BI tool. The following is a sample Qlik Sense dashboard depicting individual tests results as well as some aggregate level metrics (click on image to enlarge).
This post outlined a few simple use cases for tSQLt framework unit testing applications. I only scratched the surface with what’s possible with its built-in assertions and expectations as tSQLt toolkit can also test triggers, stored procedures logic, constraints and more. While there are other, more feature-rich and comprehensive unit testing frameworks available, tSQLt integrates well into Microsoft SQL Server landscape, can run as part of your automated builds and does not require developers to learn other programming languages, tools or platforms. It’s really easy to configure and one can become productive with it in a matter of minutes. Most developers do not like writing tests but frameworks like tSQLt make the process of integrating unit tests into the database development lifecycle a breeze.
http://scuttle.org/bookmarks.php/pass?action=addThis entry was posted on Thursday, December 1st, 2022 at 11:19 am and is filed under SQL, SQL Server. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.
