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MySQL8forBigData_Effectivedataprocessing.epub
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2023-09-04 21:58:42
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  • Preface
    • What this book covers
    • What you need for this book
    • Who this book is for
    • Conventions
    • Reader feedback
    • Customer support
      • Downloading the example code
      • Downloading the color images of this book
      • Errata
      • Piracy
      • Questions
  • Introduction to Big Data and MySQL 8
    • The importance of Big Data
      • Social media
      • Politics
      • Science and research
      • Power and energy
      • Fraud detection
      • Healthcare
      • Business mapping
    • The life cycle of Big Data
      • Volume
      • Variety
      • Velocity
      • Veracity
      • Phases of the Big Data life cycle
        • Collect
        • Store
        • Analyze
        • Governance
    • Structured databases
    • Basics of MySQL
      • MySQL as a relational database management system
      • Licensing
      • Reliability and scalability
      • Platform compatibility
      • Releases
    • New features in MySQL 8
      • Transactional data dictionary
      • Roles
      • InnoDB auto increment
      • Supporting invisible indexes
      • Improving descending indexes
      • SET PERSIST
      • Expanded GIS support
      • The default character set
      • Extended bit-wise operations
      • InnoDB Memcached
      • NOWAIT and SKIP LOCKED
    • Benefits of using MySQL
      • Security
      • Scalability
      • An open source relational database management system
      • High performance
      • High availability
      • Cross-platform capabilities
    • Installing MySQL 8
      • Obtaining MySQL 8
      • MySQL 8 installation
      • MySQL service commands
    • Evolution of MySQL for Big Data
      • Acquiring data in MySQL
      • Organizing data in Hadoop
      • Analyzing data
      • Results of analysis
    • Summary
  • Data Query Techniques in MySQL 8
    • Overview of SQL
    • Database storage engines and types
      • InnoDB
        • Important notes about InnoDB
      • MyISAM
        • Important notes about MyISAM tables
      • Memory
      • Archive
      • Blackhole
      • CSV
      • Merge
      • Federated
      • NDB cluster
    • Select statement in MySQL 8
      • WHERE clause
        • Equal To and Not Equal To
        • Greater than and Less than
        • LIKE
        • IN/NOT IN
        • BETWEEN
      • ORDER BY clause
      • LIMIT clause
      • SQL JOINS
        • INNER JOIN
        • LEFT JOIN
        • RIGHT JOIN
        • CROSS JOIN
      • UNION
        • Subquery
      • Optimizing SELECT statements
    • Insert, replace, and update statements in MySQL 8
      • Insert
      • Update
      • Replace
    • Transactions in MySQL 8
    • Aggregating data in MySQL 8
      • The importance of aggregate functions
        • GROUP BY clause
        • HAVING clause
        • Minimum
        • Maximum
        • Average
        • Count
        • Sum
    • JSON
      • JSON_OBJECTAGG
      • JSON_ARRAYAGG
    • Summary
  • Indexing your data for High-Performing Queries
    • MySQL indexing
      • Index structures
        • Bitmap indexes
        • Sparse indexes
        • Dense indexes
        • B-Tree indexes
        • Hash indexes
      • Creating or dropping indexes
        • UNIQUE | FULLTEXT | SPATIAL
        • Index_col_name
        • Index_options
          • KEY_BLOCK_SIZE
          • With Parser
          • COMMENT
          • VISIBILITY
          • index_type
        • algorithm_option
        • lock_option
        • When to avoid indexing
    • MySQL 8 index types
      • Defining a primary index
        • Primary indexes
        • Natural keys versus surrogate keys
      • Unique keys
      • Defining a column index
        • Composite indexes in MySQL 8
        • Covering index
        • Invisible indexes
        • Descending indexes
        • Defining a foreign key in the MySQL table
          • RESTRICT
          • CASCADE
          • SET NULL
          • NO ACTION
          • SET DEFAULT
        • Dropping foreign keys
      • Full-text indexing
        • Natural language fulltext search on InnoDB and MyISAM
        • Fulltext indexing on InnoDB
        • Fulltext search in Boolean mode
        • Differentiating full-text indexing and like queries
      • Spatial indexes
    • Indexing JSON data
      • Generated columns
        • Virtual generated columns
        • Stored generated columns
      • Defining indexes on JSON
    • Summary
  • Using Memcached with MySQL 8
    • Overview of Memcached
    • Setting up Memcached
      • Installation
      • Verification
    • Using of Memcached
      • Performance tuner
      • Caching tool
      • Easy to use
    • Analyzing data stored in Memcached
    • Memcached replication configuration
    • Memcached APIs for different technologies
      • Memcached with Java
      • Memcached with PHP
      • Memcached with Ruby
      • Memcached with Python
    • Summary
  • Partitioning High Volume Data
    • Partitioning in MySQL 8
      • What is partitioning?
      • Partitioning types
        • Horizontal partitioning
        • Vertical partitioning
    • Horizontal partitioning in MySQL 8
      • Range partitioning
      • List partitioning
      • Hash partitioning
      • Column partitioning
        • Range column partitioning
        • List column partitioning
      • Key partitioning
      • Sub partitioning
    • Vertical partitioning
      • Splitting data into multiple tables
        • Data normalization
          • First normal form
          • Second normal form
          • Third normal form
          • Boyce-Codd normal form
          • Fourth normal form
          • Fifth normal form
    • Pruning partitions in MySQL
      • Pruning with list partitioning
      • Pruning with key partitioning
    • Querying on partitioned data
      • DELETE query with the partition option
      • UPDATE query with the partition option
      • INSERT query with the partition option
    • Summary
  • Replication for building highly available solutions
    • High availability
      • MySQL replication
      • MySQL cluster
      • Oracle MySQL cloud service
      • MySQL with the Solaris cluster
    • Replication with MySQL
      • Benefits of replication in MySQL 8
        • Scalable applications
        • Secure architecture
        • Large data analysis
        • Geographical data sharing
      • Methods of replication in MySQL 8
        • Replication using binary logs
        • Replication using global transaction identifiers
      • Replication configuration
        • Replication with binary log file
          • Replication master configuration
          • Replication slave configuration
        • Replication with GTIDs
          • Global transaction identifiers
          • The gtid_executed table
          • GTID master's side configurations
          • GTID slave's side configurations
        • MySQL multi-source replication
          • Multi-source replication configuration
        • Statement-based versus row-based replication
    • Group replication
      • Requirements for group replication
      • Group replication configuration
        • Group replication settings
        • Choosing a single master or multi-master
        • Host-specific configuration settings
      • Configuring a Replication User and enabling the Group Replication Plugin
      • Starting group replication
        • Bootstrap node
    • Summary
  • MySQL 8 Best Practices
    • MySQL benchmarks and configurations
      • Resource utilization
      • Stretch your timelines of benchmarks
      • Replicating production settings
      • Consistency of throughput and latency
      • Sysbench can do more
      • Virtualization world
      • Concurrency
      • Hidden workloads
      • Nerves of your query
      • Benchmarks
    • Best practices for MySQL queries
      • Data types
      • Not null
      • Indexing
        • Search fields index
        • Data types and joins
        • Compound index
        • Shorten up primary keys
        • Index everything
      • Fetch all data
      • Application does the job
      • Existence of data
      • Limit yourself
      • Analyze slow queries
      • Query cost
    • Best practices for the Memcached configuration
      • Resource allocation
      • Operating system architecture
      • Default configurations
      • Max object size
      • Backlog queue limit
      • Large pages support
      • Sensitive data
      • Restrict exposure
      • Failover
      • Namespaces
      • Caching mechanism
      • Memcached general statistics
    • Best practices for replication
      • Throughput in group replication
      • Infrastructure sizing
      • Constant throughput
      • Contradictory workloads
      • Write scalability
    • Summary
  • NoSQL API for Integrating with Big Data Solutions
    • NoSQL overview
      • Changing rapidly over time
      • Scaling
      • Less management
      • Best for big data
    • NoSQL versus SQL
    • Implementing NoSQL APIs
      • NoSQL with the Memcached API layer
        • Prerequisites
        • NoSQL API with Java
        • NoSQL API with PHP
        • NoSQL API with Python
        • NoSQL API with Perl
      • NDB Cluster API
        • NDB API for NodeJS
        • NDB API for Java
        • NDB API with C++
    • Summary
  • Case study: Part I - Apache Sqoop for exchanging data between MySQL and Hadoop
    • Case study for log analysis
      • Using MySQL 8 and Hadoop for analyzing log
    • Apache Sqoop overview
    • Integrating Apache Sqoop with MySQL and Hadoop
      • Hadoop
        • MapReduce
        • Hadoop distributed file system
        • YARN
      • Setting up Hadoop on Linux
      • Installing Apache Sqoop
      • Configuring MySQL connector
    • Importing unstructured data to Hadoop HDFS from MySQL
      • Sqoop import for fetching data from MySQL 8
      • Incremental imports using Sqoop
    • Loading structured data to MySQL using Apache Sqoop
      • Sqoop export for storing structured data from MySQL 8
      • Sqoop saved jobs
    • Summary
  • Case study: Part II - Real time event processing using MySQL applier
    • Case study overview
      • MySQL Applier
      • SQL Dump and Import
      • Sqoop
      • Tungsten replicator
      • Apache Kafka
      • Talend
      • Dell Shareplex
      • Comparison of Tools
    • MySQL Applier overview
      • MySQL Applier installation
        • libhdfs
        • cmake
        • gcc
        • FindHDFS.cmake
        • Hive
    • Real-time integration with MySQL Applier
    • Organizing and analyzing data in Hadoop
    • Summary
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