mysql存储引擎memory,ndb,innodb之选择
1 mysql的innodb和cluster的NDB引擎都支持事务,在有共同的特性外,也有不同之处: 以mysql cluster NDB 7.3和MySQL 5.6之InnoDB为例: ndb7.3基于mysql5.6,包括支持innodb1.1,因此可以在cluster里使用innodb表,但这些表不是集群的。 MySQL Cluster NDB存
1
mysql的innodb和cluster的NDB引擎都支持事务,在有共同的特性外,也有不同之处:
以mysql cluster NDB 7.3和MySQL 5.6之InnoDB为例:
ndb7.3基于mysql5.6,包括支持innodb1.1,因此可以在cluster里使用innodb表,但这些表不是集群的。
MySQL Cluster NDB存储引擎用分布式, shared-nothing的架构实现,这使其和innodb有不少不同之处。比如事务、外键、表限制等,具体见下表:
Theseare shown in the following table:
Feature |
|
MySQLCluster |
---|---|---|
MySQLServer Version |
5.6 |
5.6 |
|
|
|
MySQLCluster Version |
N/A |
|
StorageLimits |
64TB |
3TB (Practicalupper limit based on 48 data nodes with 64GB RAM each; can beincreased with disk-based data and BLOBs) |
ForeignKeys |
Yes |
Priorto MySQL Cluster NDB 7.3: No. (Ignored, as with Availablein MySQL Cluster NDB 7.3. |
Transactions |
Allstandard types |
|
MVCC |
Yes |
No |
DataCompression |
Yes |
No (MySQLCluster checkpoint and backup files can be compressed) |
LargeRow Support (> 14K) |
Supportedfor |
Supportedfor (Usingthese types to store very large amounts of data can lower MySQLCluster performance) |
ReplicationSupport |
Asynchronousand semisynchronous replication using MySQL Replication |
Automaticsynchronous replication within a MySQL Cluster. Asynchronousreplication between MySQL Clusters, using MySQL Replication |
Scaleoutfor Read Operations |
Yes(MySQL Replication) |
Yes(Automatic partitioning in MySQL Cluster; MySQL Replication) |
Scaleoutfor Write Operations |
Requiresapplication-level partitioning (sharding) |
Yes(Automatic partitioning in MySQL Cluster is transparent toapplications) |
HighAvailability (HA) |
Requiresadditional software |
Yes(Designed for 99.999% uptime) |
NodeFailure Recovery and Failover |
Requiresadditional software |
Automatic (Keyelement in MySQL Cluster architecture) |
Timefor Node Failure Recovery |
30seconds or longer |
Typically |
Real-TimePerformance |
No |
Yes |
In-MemoryTables |
No |
Yes (Somedata can optionally be stored on disk; both in-memory and diskdata storage are durable) |
NoSQLAccess to Storage Engine |
Nativememcached interface in development (see the MySQL Dev ZonearticleMySQLCluster 7.2 (DMR2): NoSQL, Key/Value, Memcached) |
Yes MultipleAPIs, including Memcached, Node.js/JavaScript, Java, JPA, C++,and HTTP/REST |
Concurrentand Parallel Writes |
Notsupported |
Upto 48 writers, optimized for concurrent writes |
ConflictDetection and Resolution (Multiple Replication Masters) |
No |
Yes |
HashIndexes |
No |
Yes |
OnlineAddition of Nodes |
Read-onlyreplicas using MySQL Replication |
Yes(all node types) |
OnlineUpgrades |
No |
Yes |
OnlineSchema Modifications |
Yes,as part of MySQL 5.6. |
Yes. |
Workload |
|
MySQLCluster ( |
---|---|---|
High-VolumeOLTP Applications |
Yes |
Yes |
DSSApplications (data marts, analytics) |
Yes |
Limited(Join operations across OLTP datasets not exceeding 3TB in size) |
CustomApplications |
Yes |
Yes |
PackagedApplications |
Yes |
Limited(should be mostly primary key access). MySQLCluster NDB 7.3 supports foreign keys. |
In-NetworkTelecoms Applications (HLR, HSS, SDP) |
No |
Yes |
SessionManagement and Caching |
Yes |
Yes |
E-CommerceApplications |
Yes |
Yes |
UserProfile Management, AAA Protocol |
Yes |
Yes |
这两种存储引擎适合的应用场景
Preferredapplication requirements for |
Preferredapplication requirements for |
---|---|
|
|
2
如何选择memory存储引擎或mysql cluster:
When to Use MEMORY or MySQL Cluster.
Developers looking to deploy applications that use the MEMORY storage engine for important, highly available, or frequently updated data should consider whether MySQL Cluster is a better choice. A typical use case for the MEMORY engine involves these
characteristics:
? Operations involving transient, non-critical data such as session management or caching. When the MySQL server halts or restarts, the data in MEMORY tables is lost.
? In-memory storage for fast access and low latency. Data volume can fit entirely in memory without causing the operating system to swap out virtual memory pages.
? A read-only or read-mostly data access pattern (limited updates).
MySQL Cluster offers the same features as the MEMORY engine with higher performance levels, and provides additional features not available with MEMORY:
? Row-level locking and multiple-thread operation for low contention between clients.
? Scalability even with statement mixes that include writes.
? Optional disk-backed operation for data durability.
? Shared-nothing architecture and multiple-host operation with no single point of failure, enabling 99.999% availability.
? Automatic data distribution across nodes; application developers need not craft custom sharding or partitioning solutions.
? Support for variable-length data types (including BLOB and TEXT) not supported by MEMORY.
MEMORY存储引擎和MySQL Cluster的更多细节对比参见白皮书《Scaling Web Services with MySQL Cluster: An Alternative to the MySQL Memory Storage Engine》
Table 15.4 <strong>MEMORY</strong>
Storage Engine Features
Storagelimits |
RAM |
Transactions |
No |
Lockinggranularity |
Table |
MVCC |
No |
Geospatialdata type support |
No |
Geospatialindexing support |
No |
B-treeindexes |
Yes |
T-treeindexes |
No |
Hashindexes |
Yes |
Full-textsearch indexes |
No |
Clusteredindexes |
No |
Datacaches |
N/A |
Indexcaches |
N/A |
Compresseddata |
No |
Encrypteddata[a] |
Yes |
Clusterdatabase support |
No |
Replicationsupport[b] |
Yes |
Foreignkey support |
No |
Backup/ point-in-time recovery[c] |
Yes |
Querycache support |
Yes |
Updatestatistics for data dictionary |
Yes |
[a]Implemented in the server (via encryption functions), ratherthan in the storage engine.
[b]Implemented in the server, rather than in the storage engine.
[c]Implemented in the server, rather than in the storage engine. |
3
myisam, memory, ndb, archive, innodb存储引擎功能汇总:
Table 15.1 StorageEngines Feature Summary
Feature |
MyISAM |
Memory |
InnoDB |
Archive |
NDB |
---|---|---|---|---|---|
Storagelimits |
256TB |
RAM |
64TB |
None |
384EB |
Transactions |
No |
No |
Yes |
No |
Yes |
Lockinggranularity |
Table |
Table |
Row |
Table |
Row |
MVCC |
No |
No |
Yes |
No |
No |
Geospatialdata type support |
Yes |
No |
Yes |
Yes |
Yes |
Geospatialindexing support |
Yes |
No |
Yes[a] |
No |
No |
B-treeindexes |
Yes |
Yes |
Yes |
No |
No |
T-treeindexes |
No |
No |
No |
No |
Yes |
Hashindexes |
No |
Yes |
No[b] |
No |
Yes |
Full-textsearch indexes |
Yes |
No |
Yes[c] |
No |
No |
Clusteredindexes |
No |
No |
Yes |
No |
No |
Datacaches |
No |
N/A |
Yes |
No |
Yes |
Indexcaches |
Yes |
N/A |
Yes |
No |
Yes |
Compresseddata |
Yes[d] |
No |
Yes[e] |
Yes |
No |
Encrypteddata[f] |
Yes |
Yes |
Yes |
Yes |
Yes |
Clusterdatabase support |
No |
No |
No |
No |
Yes |
Replicationsupport[g] |
Yes |
Yes |
Yes |
Yes |
Yes |
Foreignkey support |
No |
No |
Yes |
No |
No |
Backup/ point-in-time recovery[h] |
Yes |
Yes |
Yes |
Yes |
Yes |
Querycache support |
Yes |
Yes |
Yes |
Yes |
Yes |
Updatestatistics for data dictionary |
Yes |
Yes |
Yes |
Yes |
Yes |
[a]InnoDB support for geospatial indexing is available in MySQL5.7.5 and higher.
[b]InnoDB utilizes hash indexes internally for its AdaptiveHash Index feature.
[c]InnoDB support for FULLTEXT indexes is available in MySQL5.6.4 and higher.
[d]Compressed MyISAM tables are supported only when using thecompressed row format. Tables using the compressed row formatwith MyISAM are read only.
[e]Compressed InnoDB tables require the InnoDB Barracuda fileformat.
[f]Implemented in the server (via encryption functions), ratherthan in the storage engine.
[g]Implemented in the server, rather than in the storageengine.
[h]Implemented in the server, rather than in the storageengine. |
要选mysql cluster要根据ndb存储引擎的特征和应用场景做详细测试,安装简测见我的博文《centos65安装简测mysql
cluster 7.3.7》http://blog.csdn.net/beiigang/article/details/43485585
参考
http://dev.mysql.com/doc/refman/5.6/en/mysql-cluster.html
-----------------
blog.csdn.net/beiigang

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



You can open phpMyAdmin through the following steps: 1. Log in to the website control panel; 2. Find and click the phpMyAdmin icon; 3. Enter MySQL credentials; 4. Click "Login".

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

Redis uses a single threaded architecture to provide high performance, simplicity, and consistency. It utilizes I/O multiplexing, event loops, non-blocking I/O, and shared memory to improve concurrency, but with limitations of concurrency limitations, single point of failure, and unsuitable for write-intensive workloads.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

Effective monitoring of Redis databases is critical to maintaining optimal performance, identifying potential bottlenecks, and ensuring overall system reliability. Redis Exporter Service is a powerful utility designed to monitor Redis databases using Prometheus. This tutorial will guide you through the complete setup and configuration of Redis Exporter Service, ensuring you seamlessly build monitoring solutions. By studying this tutorial, you will achieve fully operational monitoring settings

Apache connects to a database requires the following steps: Install the database driver. Configure the web.xml file to create a connection pool. Create a JDBC data source and specify the connection settings. Use the JDBC API to access the database from Java code, including getting connections, creating statements, binding parameters, executing queries or updates, and processing results.

How to connect to MySQL using phpMyAdmin? The URL to access phpMyAdmin is usually http://localhost/phpmyadmin or http://[your server IP address]/phpmyadmin. Enter your MySQL username and password. Select the database you want to connect to. Click the "Connection" button to establish a connection.
