replication

INSERT … ON DUPLICATE KEY UPDATE with WHERE?

由 笑着哭i 提交于 2019-11-26 17:28:25
问题 I'm doing a INSERT ... ON DUPLICATE KEY UPDATE but I need the update part to be conditional, only doing the update if some extra condition has changed. However, WHERE is not allowed on this UPDATE . Is there any workaround for this? I can't do combinations of INSERT/UPDATE/SELECT since this needs to work over a replication. 回答1: I suggest you to use IF() to do that. Refer: conditional-duplicate-key-updates-with-mysql INSERT INTO daily_events (created_on, last_event_id, last_event_created_at)

Replicate each row of data.frame and specify the number of replications for each row?

由 徘徊边缘 提交于 2019-11-26 17:18:13
问题 I am programming in R and I got the following problem: I have a data String jb, that is quite long. Heres a simple version of it: jb: a b frequency jb.expanded: a b 5 3 2 5 3 5 7 1 5 3 9 1 40 5 7 12 4 5 9 1 12 5 13 9 1 ... ... I want to replicate the rows and the frequency of the replication is the column frequency. That means, the first row is replicated two times, the second row is replicated 1 time and so on. I already solved that problem with the code jb.expanded <- jb[rep(row.names(jb),

Scaling solutions for MySQL (Replication, Clustering)

由 余生颓废 提交于 2019-11-26 16:52:19
At the startup I'm working at we are now considering scaling solutions for our database. Things get somewhat confusing (for me at least) with MySQL, which has the MySQL cluster , replication and MySQL cluster replication (from ver. 5.1.6), which is an asynchronous version of the MySQL cluster. The MySQL manual explains some of the differences in its cluster FAQ , but it is hard to ascertain from it when to use one or the other. I would appreciate any advice from people who are familiar with the differences between those solutions and what are the pros and cons, and when do you recommend to use

Updating AUTO_INCREMENT value of all tables in a MySQL database

由 淺唱寂寞╮ 提交于 2019-11-26 16:13:10
问题 It is possbile set/reset the AUTO_INCREMENT value of a MySQL table via ALTER TABLE some_table AUTO_INCREMENT = 1000 However I need to set the AUTO_INCREMENT upon its existing value (to fix M-M replication), something like: ALTER TABLE some_table SET AUTO_INCREMENT = AUTO_INCREMENT + 1 which is not working Well actually, I would like to run this query for all tables within a database. But actually this is not very crucial. I could not find out a way to deal with this problem, except running

I get a “An attempt was made to load a program with an incorrect format” error on a SQL Server replication project

由 走远了吗. 提交于 2019-11-26 15:04:44
The exact error is as follows Could not load file or assembly 'Microsoft.SqlServer.Replication, Version=9.0.242.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91' or one of its dependencies. An attempt was made to load a program with an incorrect format. I've recently started working on this project again after a two month move to another project. It worked perfectly before, and I've double checked all the references. bboyle1234 The answer by baldy below is correct, but you may also need to enable 32-bit applications in your AppPool. Source: http://www.alexjamesbrown.com/uncategorized/could

How can “set timestamp” be a slow query?

由 独自空忆成欢 提交于 2019-11-26 14:35:23
问题 My slow query log is full of entries like the following: # Query_time: 1.016361 Lock_time: 0.000000 Rows_sent: 0 Rows_examined: 0 SET timestamp=1273826821; COMMIT; I guess the set timestamp command is issued by replication but I don't understand how set timestamp can take over a second. Any ideas of how to fix this? 回答1: Timestamp is a data type and a built-in function in MySQL. What are you trying to achive with the following statement? SET timestamp=1273826821; UPD : I am sorry, I didn't

PostgreSQL的流复制配置（基于事务日志传送）

由 一世执手 提交于 2019-11-26 14:18:34
自PostgreSQL 9.0开始，添加了流复制（Streaming Repulication）。流复制源于pg早期的“同步日志传送复制”（Synchronous Log Shipping Repulication）--一个高可用的（HA）解决方案。 流复制是基于事务日志传送的。热备份服务器可以通过读取 WAL 记录流来保持数据库的当前状态。 如果主服务器失效，那么热备份服务器将包含几乎所有主服务器的数据， 并可以迅速的将自己切换为主服务器。这可以是同步的或者异步的， 并且只能在整个数据库服务器上实施 。 环境： centos 32bit虚拟机 两台； 安装配置过程： 说明：Primary_IP 表示主服务器IP地址 Standby_IP 表示备用服务器IP地址 1.准备主、备数据库 主、备库数据库版本：PostgreSQL9.2.13 在主服务器中安装PostgreSQL并初始化一个数据库集合（备用服务器同理，可以不初始化数据库）： cd ./root/Desktop （打开安装文件所在目录） ./configure --prefix=/opt/pgsql92 gmake -world gmake install 2.配置主库 在主库中配置../data/postgresql.conf vi postgresql.conf listen_address = '*' wal

A timeout occured after 30000ms selecting a server using CompositeServerSelector

由 眉间皱痕 提交于 2019-11-26 11:25:15
问题 I try to deploy my Mongo database in Mongolabs, everything works fine, and I create a new database. Please see my connectionstring. public DbHelper() { MongoClientSettings settings = new MongoClientSettings() { Credentials = new MongoCredential[] { MongoCredential.CreateCredential(\"dbname\", \"username\", \"password\") }, Server = new MongoServerAddress(\"ds011111.mongolab.com\", 11111), //ConnectTimeout = new TimeSpan(30000) }; Server = new MongoClient(settings).GetServer(); DataBase =

Scaling solutions for MySQL (Replication, Clustering)

由 拟墨画扇 提交于 2019-11-26 04:57:21
问题 At the startup I\'m working at we are now considering scaling solutions for our database. Things get somewhat confusing (for me at least) with MySQL, which has the MySQL cluster, replication and MySQL cluster replication (from ver. 5.1.6), which is an asynchronous version of the MySQL cluster. The MySQL manual explains some of the differences in its cluster FAQ, but it is hard to ascertain from it when to use one or the other. I would appreciate any advice from people who are familiar with
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