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MySQL 8.0 Reference Manual  /  MySQL NDB Cluster 8.0

Chapter 25 MySQL NDB Cluster 8.0

Table of Contents

25.1 General Information
25.2 NDB Cluster Overview
25.2.1 NDB Cluster Core Concepts
25.2.2 NDB Cluster Nodes, Node Groups, Fragment Replicas, and Partitions
25.2.3 NDB Cluster Hardware, Software, and Networking Requirements
25.2.4 What is New in MySQL NDB Cluster 8.0
25.2.5 Options, Variables, and Parameters Added, Deprecated or Removed in NDB 8.0
25.2.6 MySQL Server Using InnoDB Compared with NDB Cluster
25.2.7 Known Limitations of NDB Cluster
25.3 NDB Cluster Installation
25.3.1 Installation of NDB Cluster on Linux
25.3.2 Installing NDB Cluster on Windows
25.3.3 Initial Configuration of NDB Cluster
25.3.4 Initial Startup of NDB Cluster
25.3.5 NDB Cluster Example with Tables and Data
25.3.6 Safe Shutdown and Restart of NDB Cluster
25.3.7 Upgrading and Downgrading NDB Cluster
25.3.8 The NDB Cluster Auto-Installer (NO LONGER SUPPORTED)
25.4 Configuration of NDB Cluster
25.4.1 Quick Test Setup of NDB Cluster
25.4.2 Overview of NDB Cluster Configuration Parameters, Options, and Variables
25.4.3 NDB Cluster Configuration Files
25.4.4 Using High-Speed Interconnects with NDB Cluster
25.5 NDB Cluster Programs
25.5.1 ndbd — The NDB Cluster Data Node Daemon
25.5.2 ndbinfo_select_all — Select From ndbinfo Tables
25.5.3 ndbmtd — The NDB Cluster Data Node Daemon (Multi-Threaded)
25.5.4 ndb_mgmd — The NDB Cluster Management Server Daemon
25.5.5 ndb_mgm — The NDB Cluster Management Client
25.5.6 ndb_blob_tool — Check and Repair BLOB and TEXT columns of NDB Cluster Tables
25.5.7 ndb_config — Extract NDB Cluster Configuration Information
25.5.8 ndb_delete_all — Delete All Rows from an NDB Table
25.5.9 ndb_desc — Describe NDB Tables
25.5.10 ndb_drop_index — Drop Index from an NDB Table
25.5.11 ndb_drop_table — Drop an NDB Table
25.5.12 ndb_error_reporter — NDB Error-Reporting Utility
25.5.13 ndb_import — Import CSV Data Into NDB
25.5.14 ndb_index_stat — NDB Index Statistics Utility
25.5.15 ndb_move_data — NDB Data Copy Utility
25.5.16 ndb_perror — Obtain NDB Error Message Information
25.5.17 ndb_print_backup_file — Print NDB Backup File Contents
25.5.18 ndb_print_file — Print NDB Disk Data File Contents
25.5.19 ndb_print_frag_file — Print NDB Fragment List File Contents
25.5.20 ndb_print_schema_file — Print NDB Schema File Contents
25.5.21 ndb_print_sys_file — Print NDB System File Contents
25.5.22 ndb_redo_log_reader — Check and Print Content of Cluster Redo Log
25.5.23 ndb_restore — Restore an NDB Cluster Backup
25.5.24 ndb_secretsfile_reader — Obtain Key Information from an Encrypted NDB Data File
25.5.25 ndb_select_all — Print Rows from an NDB Table
25.5.26 ndb_select_count — Print Row Counts for NDB Tables
25.5.27 ndb_show_tables — Display List of NDB Tables
25.5.28 ndb_size.pl — NDBCLUSTER Size Requirement Estimator
25.5.29 ndb_top — View CPU usage information for NDB threads
25.5.30 ndb_waiter — Wait for NDB Cluster to Reach a Given Status
25.5.31 ndbxfrm — Compress, Decompress, Encrypt, and Decrypt Files Created by NDB Cluster
25.6 Management of NDB Cluster
25.6.1 Commands in the NDB Cluster Management Client
25.6.2 NDB Cluster Log Messages
25.6.3 Event Reports Generated in NDB Cluster
25.6.4 Summary of NDB Cluster Start Phases
25.6.5 Performing a Rolling Restart of an NDB Cluster
25.6.6 NDB Cluster Single User Mode
25.6.7 Adding NDB Cluster Data Nodes Online
25.6.8 Online Backup of NDB Cluster
25.6.9 Importing Data Into MySQL Cluster
25.6.10 MySQL Server Usage for NDB Cluster
25.6.11 NDB Cluster Disk Data Tables
25.6.12 Online Operations with ALTER TABLE in NDB Cluster
25.6.13 Privilege Synchronization and NDB_STORED_USER
25.6.14 File System Encryption for NDB Cluster
25.6.15 NDB API Statistics Counters and Variables
25.6.16 ndbinfo: The NDB Cluster Information Database
25.6.17 INFORMATION_SCHEMA Tables for NDB Cluster
25.6.18 NDB Cluster and the Performance Schema
25.6.19 Quick Reference: NDB Cluster SQL Statements
25.6.20 NDB Cluster Security Issues
25.7 NDB Cluster Replication
25.7.1 NDB Cluster Replication: Abbreviations and Symbols
25.7.2 General Requirements for NDB Cluster Replication
25.7.3 Known Issues in NDB Cluster Replication
25.7.4 NDB Cluster Replication Schema and Tables
25.7.5 Preparing the NDB Cluster for Replication
25.7.6 Starting NDB Cluster Replication (Single Replication Channel)
25.7.7 Using Two Replication Channels for NDB Cluster Replication
25.7.8 Implementing Failover with NDB Cluster Replication
25.7.9 NDB Cluster Backups With NDB Cluster Replication
25.7.10 NDB Cluster Replication: Bidirectional and Circular Replication
25.7.11 NDB Cluster Replication Using the Multithreaded Applier
25.7.12 NDB Cluster Replication Conflict Resolution
25.8 NDB Cluster Release Notes

This chapter provides information about MySQL NDB Cluster, a high-availability, high-redundancy version of MySQL adapted for the distributed computing environment, using the NDB storage engine (also known as NDBCLUSTER) to enable running several computers with MySQL servers and other software in a cluster. NDB Cluster 8.0, now available as a General Availability (GA) release (beginning with version 8.0.19), incorporates version 8.0 of the NDB storage engine. This chapter also provides information specific to NDB Cluster 8.0, and covers releases through 8.0.40. NDB Cluster 8.4 (NDB 8.4.0), based on version 8.4 of the NDB storage engine, is also available as an LTS release. See What is New in MySQL NDB Cluster 8.4 for information about differences in NDB 8.4 as compared to earlier releases. NDB Cluster 7.6 and NDB Cluster 7.5, still available as GA releases, use versions 7.6 and 7.5 of NDB, respectively. NDB Cluster 7.6 and 7.5 are previous GA releases still supported in production; for information about NDB Cluster 7.6, see What is New in NDB Cluster 7.6. For similar information about NDB Cluster 7.5, see What is New in NDB Cluster 7.5. Previous GA releases NDB Cluster 7.4 and NDB Cluster 7.3 incorporated NDB versions 7.4 and 7.3, respectively. NDB 7.4 and older release series are no longer supported or maintained. Both NDB 8.0 and NDB 8.4 are supported in production, and are recommended for new deployments.