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  • Book Overview & Buying MySQL 8 for Big Data
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MySQL 8 for Big Data

MySQL 8 for Big Data

By : Challawala, Jaydip Lakhatariya, Mehta, Patel
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MySQL 8 for Big Data

MySQL 8 for Big Data

5 (1)
By: Challawala, Jaydip Lakhatariya, Mehta, Patel

Overview of this book

With organizations handling large amounts of data on a regular basis, MySQL has become a popular solution to handle this structured Big Data. In this book, you will see how DBAs can use MySQL 8 to handle billions of records, and load and retrieve data with performance comparable or superior to commercial DB solutions with higher costs. Many organizations today depend on MySQL for their websites and a Big Data solution for their data archiving, storage, and analysis needs. However, integrating them can be challenging. This book will show you how to implement a successful Big Data strategy with Apache Hadoop and MySQL 8. It will cover real-time use case scenario to explain integration and achieve Big Data solutions using technologies such as Apache Hadoop, Apache Sqoop, and MySQL Applier. Also, the book includes case studies on Apache Sqoop and real-time event processing. By the end of this book, you will know how to efficiently use MySQL 8 to manage data for your Big Data applications.
Table of Contents (11 chapters)
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Select statement in MySQL 8


The Select statement is used to retrieve data from single or multiple tables:

SELECT field 1, field 2, field 3 from table_name [WHERE Clause] [GROUPBY {col_name }] [HAVINGwhere_condition] [ORDERBY {col_name}  {ASC|DESC}, ...] [LIMIT{OFFSET M}{LIMIT N}]

This is the common syntax used to retrieve data from a single table:

  • Fields one and two are the column names of the table. To fetch all columns from the table, the * expression can be used.
  • table_name indicates the table name from where data needs to be retrieved.
  • The WHERE clause can be used to specify any condition in a single and multiple column.
  • The Group BY function is used with aggregate functions to group the result sets.
  • The HAVING clause is needed after GROUP BY to filter based on conditions for a group of rows or aggregates. If we use the HAVING clause without GROUP BY, it would act similarly to the WHERE clause.
  • The ORDER BY clause is used to sort the table result sets in ascending or descending order.
  • LIMIT...
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MySQL 8 for Big Data
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