How to join row values with Column names in SQL
I have three tables
Table1:
Splitting one row into multiple rows based on column values
I have a table with ID, type, amount and hour. The input dataset is in a table and output dataset should be loaded into a fixed width file.
I have a table with ID, type, amount and hour. The input dataset is in a table and output dataset should be loaded into a fixed width file.
Splitting one row into multiple rows based on column values
I have a table with ID, type, amount and hour. The input dataset is in a table and output dataset should be loaded into a fixed width file.
I have a table with ID, type, amount and hour. The input dataset is in a table and output dataset should be loaded into a fixed width file.
How can I optimize a SQL query to efficiently count non-blank column values without using a cursor?
I have written a T-SQL script to count non-blank values in each column across all tables in a database. The script currently uses a cursor to iterate through each column and dynamically generate and execute SQL to count the values, excluding blanks and, in the case of date columns, excluding the date ‘1900-01-01’. Here is the script:
How can I optimize a SQL query to efficiently count non-blank column values for a given database without using a cursor?
I have written a T-SQL script to count non-blank values in each column across all tables in a database. The script currently uses a cursor to iterate through each column and dynamically generate and execute SQL to count the values, excluding blanks and, in the case of date columns, excluding the date ‘1900-01-01’. Here is the script:
Optimize a SQL Query to Count Non-Blank Column Values Without Using a Cursor?
I have written a T-SQL script to count non-blank values in each column across all tables in a database. The script currently uses a cursor to iterate through each column and dynamically generate and execute SQL to count the values, excluding blanks and, in the case of date columns, excluding the date ‘1900-01-01’. Here is the script:
SQL Server : multiple repetitive tables
I’m querying results out of 2 tables, at a time, which has a repetitive pattern.
SQL Server : multiple repetitive table
I’m querying results out of 2 tables, at a time, which has a repetitive pattern.
Row Number to partition the data only when all the rows in partition are same
I am having data as shown below
Query Execution time is too Late to Fetch the Data
Select substring(Downloading_Date,7,2)+’/’+substring(Downloading_Date,5,2)+’/’+substring(Downloading_Date,1,4) Downloading_Date, Count(1) TotalCount From DWN_AdmitCard_Details DA Inner Join DownloadType_Master As DM On DA.AdmitCard_Type = DM.Download_TypeID Where Adv_Code=’202′ and AdmitCard_Type=’P’ Group by Downloading_Date order by Downloading_Date Desc Here is my query it is taking too much time to execute and fetch the record from database is there any suggestion how should i speed up […]