Database HowTos and Yugabyte Funding
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MySQL Drop a Column From Existing Table – Linux Hint
MySQL Database Infrastructure is indeed a completely managed database service to build cloud-native apps. There are different cases where we perform different queries or commands to alter the database. Depending on the case, the ALTER expression is often included for the ‘ADD’, ‘Delete/DROP’ and ‘MODIFY’ commands. This tutorial guide will learn precisely how to remove a column from an existing table utilizing the MySQL DROP COLUMN clause.
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MySQL Find Duplicate Values in Table – Linux Hint
Redundant data can be kept in the table by the database program, influencing the database’s output in MySQL. Data replication, though, happens for different purposes, and it is an important job to identify the duplicate values in the table when dealing with a MySQL database. Broadly speaking, it is smart to use clear restrictions on a table often to store information that prevents redundant rows. Sometimes, in a MySQL database, you might like to calculate the number of repeated values. We addressed this question in this topic, in which you will learn about how to locate duplicate values through different ways and how to count duplicate values.
To get started, you must have MySQL installed on your system with its utilities: MySQL workbench and command-line client shell. After that, you should have some data or values in your database tables as duplicates. Let’s explore this with some examples. First of all, open your command-line client shell from your desktop taskbar and type your MySQL password upon asked.
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Open-source relational database startup Yugabyte raises $48M
Open-source relational database startup Yugabyte Inc. said today it has raised $48 million in new funding to accelerate the launch of its fully managed Yugabyte Cloud offering.
The Series C round was led by Lightspeed Venture Partners and included Greenspring Associates, Dell Technologies Capital, Wipro Ventures and 8VC. Including the new funding, Yugabyte has raised $103 million to date.
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