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MySQL 8 for Big Data
MySQL 8 for Big Data

MySQL 8 for Big Data: Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools

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Profile Icon Challawala Profile Icon Jaydip Lakhatariya Profile Icon Mehta Profile Icon Patel
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Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Paperback Oct 2017 296 pages 1st Edition
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Arrow left icon
Profile Icon Challawala Profile Icon Jaydip Lakhatariya Profile Icon Mehta Profile Icon Patel
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Paperback Oct 2017 296 pages 1st Edition
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MySQL 8 for Big Data

Data Query Techniques in MySQL 8

In Chapter 1, Introduction to Big Data and MySQL 8, we saw an overview of big data and MySQL 8 along with new features of MySQL 8 followed by the installation of MySQL 8. In this chapter, we will explore data query techniques. This chapter assumes that you have gone through the previous chapter and are familiar with MySQL 8 and how to install MySQL 8.

In this chapter, we will cover the following important topics for MySQL 8 query techniques:

  • Overview of SQL
  • Database storage engines and types
  • Select statements in MySQL
  • Insert and update statements in SQL
  • Transactions in MySQL
  • Aggregating data in MySQL 8
  • JSON Data Type and selecting and updating in JSON Data Type

Before we move on to the details, let's have an overview of SQL with respect to MySQL.

Overview of SQL

Structured Query Language (SQL) is used to manipulate, retrieve, insert, update, and delete data in relational database management system (RDBMS). To make it simpler, SQL tells the database what to do and exactly what it needs. SQL is a standard language that all RDBMS systems such as MySQL, MS Access, MS SQL, Oracle, Postgres, and others use.

Using SQL, the user can access, define and manipulate the data from MySQL. We can leverage SQL modules, libraries, and precompilers to embed with the other languages which help in creating/dropping databases and tables, manage view, stored procedures, function etc. in a database. Using SQL, we can also manage permissions on tables, procedures and different views.

The following are a few important SQL commands that we explain in detail later in the chapter:

  • SELECT: Extracts data from a database
  • UPDATE: Updates data from a...

Database storage engines and types

Let's have a look at different storage engine of MySQL database. This is an important section to understand before we jump into data query techniques, as storage engines play an important role in data query techniques. MySQL stores data in the database as a subdirectory. In each database, data is stored as tables and each table definition information is being stored in a file with extension as .frm with the same name as the table name. Suppose if we create a new table as admin_user then it will store all table definition related information in admin_user.frm file.

We can see information related to a table with the use of SHOW TABLE STATUS command. Let's try to execute this command for admin_user table and pull the information.

mysql> SHOW TABLE STATUS LIKE 'admin_user' \G;
*************************** 1. row ************...

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] [GROUP BY {col_name }] [HAVING where_condition] [ORDER BY {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...

Insert, replace, and update statements in MySQL 8

Insert, replace, and update statements are used to insert or modify data in the database. Let's take a look at them one by one.

Insert

INSERT inserts new rows into an existing table; the following is the syntax to add new rows to a table:

INSERT [INTO] tbl_name [(field_name1, field_name2...)] {VALUES | VALUE} ({value of filed 1},value of filed 2,...),(...),... 

The following inserts new users into the user table:

Insert INTO user (first_name,last_name,email,password) VALUES 
("Robert","Dotson","RuthFDotson@teleworm.us","17500917b5cd7cefdb57e87ce73485d3"),
("Ruth","Uselton","DarronAUselton@armyspy.com"...

Transactions in MySQL 8

Transaction is a logical unit of one or more Insert, Update, and Delete statements. Transaction is useful when you want to do multiple operations on the database. Either all the changes that are successful would be committed, unsuccessful ones would be undone, or errors generated during execution would perform transactions rolled back. The InnoDB storage engine supports the rollback of transactions. The goal of the InnoDB storage model is to combine the best properties of a multi-versioning database with two-phase locking. InnoDB performs locking at the row level and runs queries as non-locking for consistent reads by default for better performance and integrity of data.

Let's take an example to understand where transaction is useful. Consider a banking database. Suppose a bank customer want to transfers money from his account to another account. Generally...

Overview of SQL


Structured Query Language (SQL) is used to manipulate, retrieve, insert, update, and delete data in relational database management system (RDBMS). To make it simpler, SQL tells the database what to do and exactly what it needs. SQL is a standard language that all RDBMS systems such as MySQL, MS Access, MS SQL, Oracle, Postgres, and others use.

Using SQL, the user can access, define and manipulate the data from MySQL. We can leverage SQL modules, libraries, and precompilers to embed with the other languages which help in creating/dropping databases and tables, manage view, stored procedures, function etc. in a database. Using SQL, we can also manage permissions on tables, procedures and different views.

The following are a few important SQL commands that we explain in detail later in the chapter:

  • SELECT: Extracts data from a database
  • UPDATE: Updates data from a database
  • DELETE: Removes existing records from a database
  • INSERT INTO: Add new information into a database
  • CREATE DATABASE...

Database storage engines and types


Let's have a look at different storage engine of MySQL database. This is an important section to understand before we jump into data query techniques, as storage engines play an important role in data query techniques. MySQL stores data in the database as a subdirectory. In each database, data is stored as tables and each table definition information is being stored in a file with extension as .frm with the same name as the table name. Suppose if we create a new table as admin_user then it will store all table definition related information in admin_user.frm file.

We can see information related to a table with the use of SHOWTABLE STATUS command. Let's try to execute this command for admin_user table and pull the information.

mysql> SHOW TABLE STATUS LIKE 'admin_user' \G;
*************************** 1. row ***************************
 Name: admin_user
 Engine: InnoDB
 Version: 10
 Row_format: Dynamic
 Rows: 2
 Avg_row_length: 8192
 Data_length: 16384
...

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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Key benefits

  • Combine the powers of MySQL and Hadoop to build a solid Big Data solution for your organization
  • Integrate MySQL with different NoSQL APIs and Big Data tools such as Apache Sqoop
  • A comprehensive guide with practical examples on building a high performance Big Data pipeline with MySQL

Description

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.

Who is this book for?

This book is intended for MySQL database administrators and Big Data professionals looking to integrate MySQL 8 and Hadoop to implement a high performance Big Data solution. Some previous experience with MySQL will be helpful, although the book will highlight the newer features introduced in MySQL 8.

What you will learn

  • • Explore the features of MySQL 8 and how they can be leveraged to handle Big Data
  • • Unlock the new features of MySQL 8 for managing structured and unstructured Big Data
  • • Integrate MySQL 8 and Hadoop for efficient data processing
  • • Perform aggregation using MySQL 8 for optimum data utilization
  • • Explore different kinds of join and union in MySQL 8 to process Big Data efficiently
  • • Accelerate Big Data processing with Memcached
  • • Integrate MySQL with the NoSQL API
  • • Implement replication to build highly available solutions for Big Data

Product Details

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Publication date : Oct 20, 2017
Length: 296 pages
Edition : 1st
Language : English
ISBN-13 : 9781788397186
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Length: 296 pages
Edition : 1st
Language : English
ISBN-13 : 9781788397186
Category :
Languages :
Concepts :
Tools :

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Table of Contents

10 Chapters
Introduction to Big Data and MySQL 8 Chevron down icon Chevron up icon
Data Query Techniques in MySQL 8 Chevron down icon Chevron up icon
Indexing your data for High-Performing Queries Chevron down icon Chevron up icon
Using Memcached with MySQL 8 Chevron down icon Chevron up icon
Partitioning High Volume Data Chevron down icon Chevron up icon
Replication for building highly available solutions Chevron down icon Chevron up icon
MySQL 8 Best Practices Chevron down icon Chevron up icon
NoSQL API for Integrating with Big Data Solutions Chevron down icon Chevron up icon
Case study: Part I - Apache Sqoop for exchanging data between MySQL and Hadoop Chevron down icon Chevron up icon
Case study: Part II - Real time event processing using MySQL applier Chevron down icon Chevron up icon

Customer reviews

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Full star icon Full star icon Full star icon Full star icon Full star icon 5
(1 Ratings)
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4 star 0%
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1 star 0%
Atul saini Dec 20, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Book explaining the advanced mysql concepts in a very easy way , best thing in this book is you can cover the whole book within 1 week and every page will give you a fresh knowledge , book is for both administrator and developers , although i cover only 60 % of the book but thought review can be helpful for others to take this book .will update for the remaining part as well. PS please review the sample before buy as it not for newbies
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