postgresql 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 partitioning. Among the three-digit mark: a more par

The method for PHP to operate mysql database table Sharding is phpmysql database. The method of using PHP to operate mysql database sharding. in phpmysql database, when the data in our database exceeds records, we should consider sharding or partitioning, this time I come to PHP to operate mysql database table sharding

This article is connected to the original: http://blog.csdn.net/bluishglc/article/details/7696085, reproduced please indicate the source. This paper focuses on the sharding segmentation strategy, if you lack of basic understanding of the database sharding, please refer to my another article from the basic theory of the comprehensive introduction of sharding: The

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

I have always been interested in Mysql database/table sharding, but I am still at the stage of interest and have not encountered any applicable scenarios. Life is short. Instead of waiting for an opportunity, you can create it yourself. After a little research, I chose an open-source product like Mycat. There is no special reason to discuss which excavator is strong, just to learn.Local environmentComputer environment: Ubuntu 16.04JDK: 1.8Docker versi

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:

----------------------------------------------------------------------------------- // 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

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 supports ms SQL Server and MySQL, which is bett

After the system is reformed by Sharding, the original single database will become multiple databases, how to ensure the atomicity and consistency of simultaneous operation of multiple data sources is a problem that has to be considered. Overall, there are currently three ways of dealing with a distributed system: distributed transactions, best efforts 1PC-mode transactions, and transaction compensation mechanisms. We analyze each of the three approac

The latest version of the 2.0 version of SHARDING-JDBC, because of the need to support dynamic configuration loading, so the latest module information is as follows: |-sharding-jdbc |-sharding-jdbc-core |-api |-constant |-exception |-executor |-jdbc |-keygen |-merger |-parsing |-rewrite

Author Introduction WeiHaven Court co-founder and CTO, responsible for back-end research and development of the Docker-based automated service management platform. Good at Docker related technology, pass platform architecture and enterprise automation operation and maintenance system design and development. Before starting a business in Sina SAE platform as a technical manager, from 09 SAE project to the second half of 13, four years, has been responsible for the Saepass platform of var

Detailed description of the PostgreSQL Partition Table (partitioning) application instance, postgresql Partition Table Preface Vertical table sharding is required in the project, that is, data is split into n tables according to the time interval. PostgreSQL provides the partition table function. A partition table actu

unit capacity of the shard. Here, 1 m is set, for ease of viewing the results, run the following command in the background:/apps/Mongo/bin/mongos -- Port 50000 -- configdb 127.0.0.1: 40000 -- chunksize 50 -- logpath =/data/shard/log/route. log -- fork --------------------------------------------------------------------------------: At this time, no slices are added to the sharding cluster. You can see that the admin database of the

[MongoDB] Build a mongodb sharding cluster on the windows platform (2). mongodb Cluster In the previous blog, we talked about the main principles of Mongodb sharding clusters. In this blog, we will mainly describe how to build a sharded cluster. There are two steps to configure a sharding cluster: first, start all the required mongod and mongos processes. The sec

1, Sharding application scenarios are generally those? When the amount of data in the database becomes larger and bigger, the pressure becomes larger, both read and write. Imagine, if the data in a table reached tens of millions of millions of levels, whether the index, optimize caching, etc., will face tremendous performance pressure. Sharding to reduce the pressure on a single machine by spreading the da

Tags: mode SOF user score add Lib src connection flowSharding (increased server, horizontal scaling) is the way MongoDB expands, with shards that can add more machines to cope with increasing load and data without impacting applications. Introduction Sharding (sharding) refers to the process of splitting data and dispersing it across different machines. In a relational database, when a table is too large (m

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 sharding is a horizontal split. Data i

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

Verify MyCAT ER sharding Here, we have constructed two tables. All the children's shoes familiar with Oracle know that dept (Department table) and emp (employee table), where deptno in dept is the foreign key of dept_no In the emp table. The statements for creating two tables are as follows: Create table dept (deptno int, dname varchar (10), datanode varchar (10 )); Create table emp (empno int, dept_no int, datanode varchar (10 )); Note: here, the las

MySQL table sharding is used to process massive databases. The following describes how to implement MySQL table sharding. When dealing with a table with massive data, we need to perform table sharding. I am a table by month, that is, a table is created every month. For example, table_2010_04, table_2010_05, table_2010_06... You can split tables based on time and