data sharding

Read about data sharding, The latest news, videos, and discussion topics about data sharding from alibabacloud.com

Mysql database/table sharding _ MySQL

Mysql database/table sharding bitsCN.com Mysql database/table sharding Table Sharding is a good way to distribute database pressure. Table sharding refers to dividing a table structure into multiple tables, which can be stored in the same database or in different databases. Of course, you must first know under what c

MongoDB replica sets + sharding solution and chunks block and chip Key Analysis

----------------------------------------------------------------------------------- // A. Configure the database mydb and enable the shard use admindb. runcommand ({enablesharding: "mydb "})In this case, the database mydb is based on the shard replset3 (primary shard)After mydb is configured to enable sharding, the configuration information is stored in the databases set of the config database of the configuration server!// B. Set the set to be shard

Table sharding design ideas and implementation

I. OverviewTable sharding is a popular concept, especially in the case of large loads. Table sharding is a good way to distribute database pressure. First, you need to understand why Table sharding is required. What are the benefits of table sharding. Let's take a look at the SQL Execution Process in the next database:

Mysql table sharding

This is related to mysql table sharding. my table has 230 fields (the content is not much, and there are less than 20 thousand records), which has a huge impact on the web browsing speed. Recently, we have considered table sharding, my understanding of table Sharding is to split many fields in a table into two or more tables. However, I see a lot of information o

Basic idea and segmentation strategy of database Sharding

Tags: style blog http using strong data for artThis paper focuses on the basic ideas of sharding and the theory of the segmentation strategy, about more detailed implementation strategies and reference examples please refer to my other blog post: Database sub-list (sharding) series (a) split implementation strategy and sample demonstrationFirst, the basic ideaThe

Basic idea and segmentation strategy of database Sharding

Transferred from:http://blog.csdn.net/bluishglc/article/details/6161475This paper mainly introduces the basic idea of sharding and the theory of slicing strategy. For more detailed implementation strategies and references please refer to my blog: Database sub-list (sharding) series (i) Split implementation strategy and demo sample DemoFirst, the basic ideaThe basic idea of

[MongoDB] mongodb sharding cluster on windows platform (3)

for sharding for any set. Assume that the test database is slidetest. Note: It looks a bit similar to the index definition, especially the unique key. When sharding is performed for an empty set, mongodb creates an index for each shard. You can directly link the parts and run getIndexs () for verification. You can log on to 3000 to view the information. Ii. Write to sharded Cluster Once the

Sharding & amp; HA-MySQLFabricWebinarReplay + Q_MySQL

Shardingamp; amp; HA-MySQLFabricWebinarReplay + Qamp; amp; A On 19th June 2014, mats Kindahl and I presented a free webinar on why and how you shoshould be using MySQL Fabric to add Sharding (scaling out reads writes) and High Availability to MySQL. the webinar replay is available here. this blog post uplodes a transcript of the questions raised during the live webinar together with the responses given-if you're questions aren' t answered already the

Table sharding design ideas and implementation [reprint]

I. OverviewTable sharding is a popular concept, especially in the case of large loads. Table sharding is a good way to distribute database pressure. First, you need to understand why Table sharding is required. What are the benefits of table sharding. Let's take a look at the SQL Execution Process in the next database:

Mysql database/table sharding

Mysql database/table sharding is a good way to distribute database pressure. Table sharding refers to dividing a table structure into multiple tables, which can be stored in the same database or in different databases. Of course, you must first know under what circumstances to split tables. I personally think that table sharding is required when the number of rec

How to implement one-click delivery of production-level MongoDB sharding clusters using containers

that listens on 27019 ports MONGOs, as the access and management portal for the sharding cluster, listens on port 27017 MONGO slices, data shard node MONGO Replicaset, each data shard is a replicaset cluster that guarantees no single point and provides automatic failover capabilities Mongo Express, MongoDB's management dashboard Topology dia

What is database sharding technology?

What is database/table sharding technology I. Overview table sharding is a popular concept. Especially under heavy load, table sharding is a good way to distribute database pressure. First, you need to understand why Table sharding is required. What are the benefits of table shardi

Mysql database/table sharding Mycat

adding the limit set in the schema tag. The default value is true.There is a childTable sub-label under the table label, used to define the word table of the E-R partition, the so-called E-R partition is to route two related to the same partition, convenient join operation, the specific configuration will be shown later in the example.Partition node (dataNode)DataNode defines the data nodes in Mycat, which is usually referred to as

Mongodbreplicasetshard sharding high-availability cluster

or databases. for example:Mysql Partition,Fastdfs Group I. mongodb sharding, two common architectures 1. Each client system contains a router mongos, Each client has a route The number of servers has increased from a dozen to several hundred. The mongos route and the mongod shard server have established several hundred or even thousands of connections, and the load is very heavy. This means that each chunk is balanced (the balancing measures requir

UDP User Datagram Protocol-IP sharding

1. UDP Header 2. UDP sharding In the second chapter, the link layer is mentioned. Ethernet is used to split the data frame header. The maximum transmission length is 1500. That is to say, if an IP datagram has a length greater than 1500, it needs to be split. Sharding method: In the IP header, the three-digit flag and the 13-digit offset are used for partitio

Support for MySQL database automatic table sharding tool dbshardtools released

I participated in a company project some time ago. This project is characterized by a large amount of data and traffic. Considering using the database horizontal table sharding policy, I did not find a table sharding tool after Google for a long time. Therefore, I wrote a database horizontal table sharding tool that su

Database/table sharding Solution

Ideas: 1. Read the database sharding and table sharding policies completely. Note the differences between database sharding and table sharding and write Reading Notes. 2. Test the source code of the ibatis + spring2.0-based sub-database. Pay attention to routing rules. 3. Source Code Implementation of the test table sh

Database Library sub-table (sharding) series (ii) Global primary key generation strategy

This article will mainly introduce some common global primary key generation strategies, and then highlight a very good global primary key generation scheme used by Flickr. For the split strategy and implementation details of the sub-list (sharding), refer to the previous article in the series: Database Library sub-table (sharding) series (i) Split implementation strategy and sample demo the original text c

Share a MySQL database/table sharding class (php)

Share a MySQL database/table sharding class (php) When the data record of a table is too large, a performance bottleneck will occur. Generally, the corresponding solution is to either create a partitioned table or a partitioned table, table shards are divided into vertical and horizontal partitions. You can search for the specific differences. Generally, database/table

Using SHARDING-JDBC to realize the sub-table

server does not solve the problem because the system bottleneck is back to the database server. SQL execution time is getting longer and can not be optimized. The reason is also very simple, the amount of data is too large. Single-table data has been more than tens of millions of lines, through the database optimization has not met the requirements of speed. The sub-list mentioned on the schedule must be r

Total Pages: 15 1 .... 5 6 7 8 9 .... 15 Go to: Go

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.