Flyway

External Article

Planning a Database Testing Strategy for Flyway

  • Article

With Flyway, you can adopt a test-driven development strategy that will allow you to test and evaluate databases, and database objects, at every phase of the database development lifecycle. The further down the delivery pipeline that bugs appear, the more costly in time and resources they are to fix. This approach will allow you to catch many of them before the database change even gets committed to version control, making a continuous delivery process much easier to adopt and sustain.

2024-02-12

External Article

Code Visibility: Browsing through Flyway Migration Files

  • Article

If you can convert a SQL file to HTML, then you can inspect your Flyway migration files in a browser. This is especially useful if your SQL is color-coded with the same conventions as it was in your IDE. It is even better still if your browser can allow you to scan through many files, moving from file to file with a single click. This article will demonstrate how to do this with a few PowerShell scripts.

2024-01-24

Blogs

The hell of Git line endings and the (not so) simple fix

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I wrote a stream-of-consciousness post a few months ago about what I do in...

Creating a GitHub Actions Self-Hosted Runner

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I had to demo the Flyway Autopilot system recently and created a GitHub Actions...

Migrating from Azure PG Single Server to Flex with Azure VM and pg_dump/restore

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This is more complicated than using the Azure Migration method, but because it’s maxed...

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Comments posted to this topic are about the item The Rank Window

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How to Develop Solutions with Fabric Data Warehouse: Data Engineering with Fabric

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Question of the Day

The Rank Window

I have this table and data:

CREATE TABLE [dbo].[SalesTracking]
(
[SalesDate] [datetime] NULL,
[SalesPersonID] [int] NULL,
[CustomerID] [int] NOT NULL,
[PONumber] [varchar] (80) COLLATE SQL_Latin1_General_CP1_CI_AS NULL,
[paid] [bit] NULL
) ON [PRIMARY]
GO
CREATE CLUSTERED INDEX [SalesTrackingCDX] ON [dbo].[SalesTracking] ([SalesDate]) ON [PRIMARY]
GO
INSERT dbo.SalesTracking
  (SalesDate, SalesPersonID, CustomerID, PONumber, paid, total)
VALUES
  ('2024-03-15 10:45:55.067', 1, 1,'PO965' ,1, 100),
  ('2023-09-24 10:45:55.067', 1, 2,'PO627' ,1, 200),
  ('2022-07-02 10:45:55.067', 1, 3,'PO6'   ,1, 300),
  ('2022-11-03 10:45:55.067', 1, 4,'PO283' ,1, 400),
  ('2022-11-26 10:45:55.067', 1, 5,'PO735' ,1, 500),
  ('2023-04-28 10:45:55.067', 1, 6,'PO407' ,1, 600),
  ('2022-09-09 10:45:55.067', 1, 7,'PO484' ,1, 700),
  ('2024-03-13 10:45:55.067', 1, 8,'PO344' ,1, 700),
  ('2024-04-24 10:45:55.067', 1, 9,'PO254' ,1, 800),
  ('2022-06-19 10:45:55.067', 1, 10,'PO344',1, 800)
GO
When I run this query, how many unique values are returned for the SaleRank column?
SELECT
  st.SalesDate
, st.SalesPersonID
, st.total
, RANK () OVER (PARTITION BY st.SalesPersonID
                ORDER BY st.total desc) AS SaleRank
FROM dbo.SalesTracking AS st;

See possible answers