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Home > Data > Big Data > MySQL 8 for Big Data
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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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
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Publication date : Oct 20, 2017
Length: 296 pages
Edition : 1st
Language : English
ISBN-13 : 9781788397186
Category :
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Concepts :
Big Data
Tools :
Hadoop

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

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Table of Contents

10 Chapters
Introduction to Big Data and MySQL 8 Chevron down icon Chevron up icon
Introduction to Big Data and MySQL 8
The importance of Big Data
The life cycle of Big Data
Structured databases
Basics of MySQL
New features in MySQL 8
Benefits of using MySQL
Installing MySQL 8
Evolution of MySQL for Big Data
Summary
Data Query Techniques in MySQL 8 Chevron down icon Chevron up icon
Data Query Techniques in MySQL 8
Overview of SQL
Database storage engines and types
Select statement in MySQL 8
Insert, replace, and update statements in MySQL 8
Transactions in MySQL 8
Aggregating data in MySQL 8
JSON
Summary
Indexing your data for High-Performing Queries Chevron down icon Chevron up icon
Indexing your data for High-Performing Queries
MySQL indexing
MySQL 8 index types
Indexing JSON data
Summary
Using Memcached with MySQL 8 Chevron down icon Chevron up icon
Using Memcached with MySQL 8
Overview of Memcached
Setting up Memcached
Using of Memcached
Analyzing data stored in Memcached
Memcached replication configuration
Memcached APIs for different technologies
Summary
Partitioning High Volume Data Chevron down icon Chevron up icon
Partitioning High Volume Data
Partitioning in MySQL 8
Horizontal partitioning in MySQL 8
Vertical partitioning
Pruning partitions in MySQL
Querying on partitioned data
Summary
Replication for building highly available solutions Chevron down icon Chevron up icon
Replication for building highly available solutions
High availability
Replication with MySQL
Group replication
Summary
MySQL 8 Best Practices Chevron down icon Chevron up icon
MySQL 8 Best Practices
MySQL benchmarks and configurations
Best practices for MySQL queries
Best practices for the Memcached configuration
Best practices for replication
Summary
NoSQL API for Integrating with Big Data Solutions Chevron down icon Chevron up icon
NoSQL API for Integrating with Big Data Solutions
NoSQL overview
NoSQL versus SQL
Implementing NoSQL APIs
Summary
Case study: Part I - Apache Sqoop for exchanging data between MySQL and Hadoop Chevron down icon Chevron up icon
Case study: Part I - Apache Sqoop for exchanging data between MySQL and Hadoop
Case study for log analysis
Apache Sqoop overview
Integrating Apache Sqoop with MySQL and Hadoop
Importing unstructured data to Hadoop HDFS from MySQL
Loading structured data to MySQL using Apache Sqoop
Summary
Case study: Part II - Real time event processing using MySQL applier Chevron down icon Chevron up icon
Case study: Part II - Real time event processing using MySQL applier
Case study overview
MySQL Applier overview
Real-time integration with MySQL Applier
Organizing and analyzing data in Hadoop
Summary

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Customer reviews

Rating distribution
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(1 Ratings)
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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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About the 4 authors

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Profile icon Challawala
Challawala
Shabbir Challawala has over 8 years of rich experience in providing solutions based on MySQL and PHP technologies. He is currently working with KNOWARTH Technologies. He has worked in various PHP-based e-commerce solutions and learning portals for enterprises. He has worked on different PHP-based frameworks, such as Magento E-commerce, Drupal CMS, and Laravel. Shabbir has been involved in various enterprise solutions at different phases, such as architecture design, database optimization, and performance tuning. He has been carrying good exposure of Software Development Life Cycle process thoroughly. He has worked on integrating Big Data technologies such as MongoDB and Elasticsearch with a PHP-based framework.
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Profile icon Jaydip Lakhatariya
Jaydip Lakhatariya
Jaydip Lakhatariya has rich experience in portal and J2EE frameworks. He adapts quickly to any new technology and has a keen desire for constant improvement. Currently, Jaydip is associated with a leading open source enterprise development company, KNOWARTH Technologies, where he is engaged in various enterprise projects. Jaydip, a full-stack developer, has proven his versatility by adopting technologies such as Liferay, Java, Spring, Struts, Hadoop, MySQL, Elasticsearch, Cassandra, MongoDB, Jenkins, SCM, PostgreSQL, and many more. He has been recognized with awards such as Merit, Commitment to Service, and also as a Star Performer. He loves mentoring people and has been delivering training for Portals and J2EE frameworks.
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Profile icon Mehta
Mehta
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Chintan Mehta is a co-founder of KNOWARTH Technologies and heads the cloud/RIMS/DevOps team. He has rich, progressive experience in server administration of Linux, AWS Cloud, DevOps, RIMS, and on open source technologies. He is also an AWS Certified Solutions Architect. Chintan has authored MySQL 8 for Big Data, Mastering Apache Solr 7.x, MySQL 8 Administrator's Guide, and Hadoop Backup and Recovery Solutions. Also, he has reviewed Liferay Portal Performance Best Practices and Building Serverless Web Applications.
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Profile icon Patel
Patel
Kandarp Patel leads PHP practices at KNOWARTH Technologies. He has vast experience in providing end-to-end solutions in CMS, LMS, WCM, and e-commerce, along with various integrations for enterprise customers. He has over 9 years of rich experience in providing solutions in MySQL, MongoDB, and PHP-based frameworks. Kandarp is also a certified MongoDB and Magento developer. Kandarp has experience in various Enterprise Application development phases of the Software Development Life Cycle and has played prominent role in requirement gathering, architecture design, database design, application development, performance tuning, and CD/CI. Kandarp has a Bachelor of Engineering in Information Technology from a reputed university in India.
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Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela
What is custom duty/charge? Chevron down icon Chevron up icon

Customs duty are charges levied on goods when they cross international borders. It is a tax that is imposed on imported goods. These duties are charged by special authorities and bodies created by local governments and are meant to protect local industries, economies, and businesses.

Do I have to pay customs charges for the print book order? Chevron down icon Chevron up icon

The orders shipped to the countries that are listed under EU27 will not bear custom charges. They are paid by Packt as part of the order.

List of EU27 countries: www.gov.uk/eu-eea:

A custom duty or localized taxes may be applicable on the shipment and would be charged by the recipient country outside of the EU27 which should be paid by the customer and these duties are not included in the shipping charges been charged on the order.

How do I know my custom duty charges? Chevron down icon Chevron up icon

The amount of duty payable varies greatly depending on the imported goods, the country of origin and several other factors like the total invoice amount or dimensions like weight, and other such criteria applicable in your country.

For example:

  • If you live in Mexico, and the declared value of your ordered items is over $ 50, for you to receive a package, you will have to pay additional import tax of 19% which will be $ 9.50 to the courier service.
  • Whereas if you live in Turkey, and the declared value of your ordered items is over € 22, for you to receive a package, you will have to pay additional import tax of 18% which will be € 3.96 to the courier service.
How can I cancel my order? Chevron down icon Chevron up icon

Cancellation Policy for Published Printed Books:

You can cancel any order within 1 hour of placing the order. Simply contact customercare@packt.com with your order details or payment transaction id. If your order has already started the shipment process, we will do our best to stop it. However, if it is already on the way to you then when you receive it, you can contact us at customercare@packt.com using the returns and refund process.

Please understand that Packt Publishing cannot provide refunds or cancel any order except for the cases described in our Return Policy (i.e. Packt Publishing agrees to replace your printed book because it arrives damaged or material defect in book), Packt Publishing will not accept returns.

What is your returns and refunds policy? Chevron down icon Chevron up icon

Return Policy:

We want you to be happy with your purchase from Packtpub.com. We will not hassle you with returning print books to us. If the print book you receive from us is incorrect, damaged, doesn't work or is unacceptably late, please contact Customer Relations Team on customercare@packt.com with the order number and issue details as explained below:

  1. If you ordered (eBook, Video or Print Book) incorrectly or accidentally, please contact Customer Relations Team on customercare@packt.com within one hour of placing the order and we will replace/refund you the item cost.
  2. Sadly, if your eBook or Video file is faulty or a fault occurs during the eBook or Video being made available to you, i.e. during download then you should contact Customer Relations Team within 14 days of purchase on customercare@packt.com who will be able to resolve this issue for you.
  3. You will have a choice of replacement or refund of the problem items.(damaged, defective or incorrect)
  4. Once Customer Care Team confirms that you will be refunded, you should receive the refund within 10 to 12 working days.
  5. If you are only requesting a refund of one book from a multiple order, then we will refund you the appropriate single item.
  6. Where the items were shipped under a free shipping offer, there will be no shipping costs to refund.

On the off chance your printed book arrives damaged, with book material defect, contact our Customer Relation Team on customercare@packt.com within 14 days of receipt of the book with appropriate evidence of damage and we will work with you to secure a replacement copy, if necessary. Please note that each printed book you order from us is individually made by Packt's professional book-printing partner which is on a print-on-demand basis.

What tax is charged? Chevron down icon Chevron up icon

Currently, no tax is charged on the purchase of any print book (subject to change based on the laws and regulations). A localized VAT fee is charged only to our European and UK customers on eBooks, Video and subscriptions that they buy. GST is charged to Indian customers for eBooks and video purchases.

What payment methods can I use? Chevron down icon Chevron up icon

You can pay with the following card types:

  1. Visa Debit
  2. Visa Credit
  3. MasterCard
  4. PayPal
What is the delivery time and cost of print books? Chevron down icon Chevron up icon

Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela