A semi-join returns rows from one table that would join with another table without performing a complete join. It doesn't have explicit syntax.
Eg : semi join to evaluate an exists sub query
select *
from Customers C
where exists (
select *
from Sales S
where S.Cust_Id = C.Cust_Id
)
Cust_Id Cust_Name
----------- ----------
2 John Doe
3 Jane Doe
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A semi join in SQL compares two tables and returns rows from the first table where a match is found in the second table, but only the columns from the first table are included in the result. It is commonly used to filter results based on a condition in another table without duplicating data.
Outer Join in SQL is used to retrieve all records from one table and only matching records from another table. It helps to retrieve data from related tables even if there are no matching records in one of the tables.
SQL stands for Structured Query Language and is a programming language used to manage and manipulate relational databases. An SQL server, on the other hand, is software specifically designed to store, retrieve, and manage data based on SQL queries. SQL is the language used to interact with an SQL server.
Pervasive SQL is a relational database management system designed for embedded applications, while MS SQL, or Microsoft SQL Server, is a full-fledged RDBMS with advanced features for enterprise applications. MS SQL provides more robust scalability, security, and integration options compared to Pervasive SQL. Additionally, MS SQL is commonly used in larger organizations, while Pervasive SQL is often utilized in smaller businesses and embedded systems.
When you want to extract data from two or more tables, you can use a SQL JOIN query. By using JOIN clauses, you can combine rows from different tables based on a related column between them. This allows you to retrieve data from multiple tables in a single query.
Resource-intensive SQL refers to SQL queries that consume a significant amount of system resources such as CPU, memory, or disk storage. These queries can slow down performance and impact the overall efficiency of the system. It is important to optimize resource-intensive SQL queries to improve system performance.