Rajendra Gupta

Rajendra Gupta
insert sample data

SQL Between Operator overview and examples

June 11, 2019 by

We extract data from SQL Server tables along with various conditions. Usually, we have data in large amounts and SQL Between operator helps to extract a specific range of data from this huge data. For example, suppose we want to know the product sales between Jan 2019 to May 2019. In this case, we can use this operator in a SQL query.

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Execution plan and statistics

SQL Server Statistics in Always On Availability Groups

May 27, 2019 by

Introduction to SQL Server Statistics

SQL Server Statistics are an essential part of query performance in SQL Server. They help the query optimizer to prepare a query plan using the distribution of values in participating rows. If we do not have updated statistics, it might lead to resource intensive query execution plan. For example, for a large table having a billion records, SQL may choose to have an index scan instead of an index seek.

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sql server always on

SQL Server Always On Availability Group Data Resynchronization

May 9, 2019 by

In my previous article Data Synchronization in SQL Server Always On Availability Group, we described a scenario where if a secondary replica goes down in synchronous data commit mode, SQL Server Always on Availability group changes to asynchronous data commit mode. It ensures that users can get their transaction commit irrespective of waiting for a secondary replica to come online.

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SQL CASE statement

SQL CHARINDEX

May 9, 2019 by

We use the SQL CHARINDEX function to find the position of a substring or expression in a given string. We might have a character in different positions of a string. SQL CHARINDEX returns the first position and ignores the rest of matching character positions in a string.

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SQL Server feature selection for Python SQL

Data Sampling with Python SQL Scripts

May 9, 2019 by

Introduction

The Python programming language is object oriented, easy to use and, widely used programming language. We can write simple Python SQL Scripts and it performs the task that is not easy to do with t-SQL.