[Solved] SQL: Column invalid in the select list because it is not contained in either an aggregate function or the GROUP BY clause [closed]

Introduction SQL is a powerful language used to query and manipulate data stored in databases. It is important to understand the syntax and structure of SQL queries in order to ensure that the query is valid and produces the desired results. One common issue that can arise when writing SQL queries is the error “Column … Read more

[Solved] SQL code error in C#

The SQL statement is not the problem (you are able to execute it in SQL manager) and neither is it the call to AddWithValue because that won’t throw an ArgumentException based on the cause in mentioned in the exception message. So it must be something else. That leaves a constant and an expression using the … Read more

[Solved] Sql to group by 36 hours [closed]

–Set up table and data DECLARE @ATable TABLE ([date] DATETIME, [Count] INT) INSERT @ATable( date, Count ) SELECT ‘2015-05-14 01:00:00’, 1 UNION ALL SELECT ‘2015-05-15 02:00:00’, 2 UNION ALL SELECT ‘2015-05-15 20:00:00’, 3 UNION ALL SELECT ‘2015-05-16 03:00:00’, 4 — Query SELECT d.[date], ( — This subquery returns the sum of counts for the 36 … Read more

[Solved] how to read .dat files in c++ [closed]

Yes, you can use fstream for this. Here is some code you could use for splitting the data into an array devided by a delimiter. just change the DELIMITER to your delimiter. #include <iostream> using std::cout; using std::endl; #include <fstream> using std::ifstream; #include <cstring> const int MAX_CHARS_PER_LINE = 512; const int MAX_TOKENS_PER_LINE = 20; const … Read more

[Solved] SQL code error in C#

Introduction SQL code errors can be a major source of frustration for C# developers. Fortunately, there are a few steps that can be taken to help identify and resolve these errors. This article will provide an overview of the most common SQL code errors in C# and provide some tips on how to troubleshoot and … Read more

[Solved] how to read .dat files in c++ [closed]

Introduction Reading .dat files in C++ can be a tricky task, especially if you are unfamiliar with the language. Fortunately, there are a few simple steps you can take to make the process easier. In this article, we will discuss how to read .dat files in C++, including the different methods available and the advantages … Read more

[Solved] How to output the queries from my sql database? [duplicate]

You need of jar that have the class com.microsoft.sqlserver.jdbc.SQLServerDriver. This class is part of library JDBC to connect with SQLServer. You can do download in this web site: https://www.microsoft.com/pt-BR/download/details.aspx?id=11774 If your project use maven, you can add this dependency: https://mvnrepository.com/artifact/org.springframework/spring-jdbc/5.0.0.M5 0 solved How to output the queries from my sql database? [duplicate]

[Solved] How to select data from the following table?

select category_name,parent_category_name from tbl_product p left join ( select cp.category_code, case when cp.parent_code = 0 then ” when cp.parent_code != 0 then cp.category_name end as category_name, cp.parent_code, isnull(ch.category_name, cp.category_name) as parent_category_name from tbl_category cp left join ( select cl.category_name, cl.category_code, cl.parent_code from tbl_category cl ) ch on cp.parent_code = ch.category_code ) as cat on cat.category_code … Read more

[Solved] Identifying Unique Visits by Customer [closed]

You can use row_number() and conditional aggregation. Here is an exaple: select customerid, avg(sales) as avgsales, max(case when segnum = 1 then sales end) as sales_01, max(case when segnum = 2 then sales end) as sales_02, max(case when segnum = 3 then sales end) as sales_03 from (select t.*, row_number() over (partition by customerid order … Read more

[Solved] How get data in split string data for SQL Server [closed]

And yet another variant SELECT * FROM [table] WHERE ‘,’+[data]+’,’ LIKE ‘%,E55555,%’ The problem though, is that what you are asking for won’t be able to use normal indexes, which means an inefficient table scan every time you query. You may want to consider breaking the comma delimited values into their own columns so you … Read more