I'm currently running into an issue with one of our databases in Azure where 1 table is forcing us to scale the entire database up to cope with the CPU requirements. The basic structure of the table is as follows:
column_a is unique and not nullable. column_b can be null.
This table has ~1.6 million rows in it so it's not a large table but it is used throughout the system we have built. We have several feeds pushing data in which requires an entry in this table so for each new request we receive there is a check for an entry and then if that doesn't exist one is created and the id returned. Once that data is received, we have subscribers which receive that data and use this table to link other information the system holds in a nice interface.
The table above shows the most expensive queries being run on this database over a 24 hour period. The one highlighted in yellow is
SELECT TOP (1) id FROM TableName WHERE column_a = @param1.
Is this just bad database architecture or are we missing a trick to optimize for the number of reads we are performing on the table? Unfortunately, the number of reads being performed is only going to increase as we are adding new data feeds every month and we are aiming to have 5 - 10x the number of feeds by the end of this year.
Any help is much appreciated and my apologies if any of the above is unclear.
Create Table query
CREATE TABLE [dbo].[TableName]( [id] [bigint] IDENTITY(1,1) NOT NULL, [column_a] [varchar](50) NOT NULL, [column_b] [varchar](50) NULL, CONSTRAINT [PK_TableName] PRIMARY KEY CLUSTERED ( [id] ASC )WITH (STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF) ON [PRIMARY], CONSTRAINT [AK_Column_A] UNIQUE NONCLUSTERED ( [plate] ASC )WITH (STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF) ON [PRIMARY] ) ON [PRIMARY] GO