database-cluster

Master/Slave Mysql Architecture vs Server/Read DB and Separate DB for writes only [closed]

烈酒焚心 提交于 2019-12-20 04:59:12
问题 It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical and cannot be reasonably answered in its current form. For help clarifying this question so that it can be reopened, visit the help center. Closed 8 years ago . What are the advantages and disadvantages for Master/Slave type mysql architectures vs load balancing web servers with read only db's in each using a separate server holding a mysql database just for the writes?

Resources for Database Sharding and Partitioning

半城伤御伤魂 提交于 2019-12-18 11:33:29
问题 I'm working with a database schema that is running into scalability issues. One of the tables in the schema has grown to around 10 million rows, and I am exploring sharding and partitioning options to allow this schema to scale to much larger datasets (say, 1 billion to 100 billion rows). Our application must also be deployable onto several database products, including but not limited to Oracle, MS SQL Server, and MySQL. This is a large problem in general, and I'd like to read up on what

What's a good balance to decide when to partition a table in BigQuery?

爱⌒轻易说出口 提交于 2019-12-17 20:47:31
问题 We are using a public dataset to benchmark BigQuery. We took the same table and partitioned it by day, but it's not clear we are getting many benefits. What's a good balance? SELECT sum(score) FROM `fh-bigquery.stackoverflow_archive.201906_posts_questions` WHERE creation_date > "2019-01-01" Takes 1 second, and processes 270.7MB. Same, with partitions: SELECT sum(score) FROM `temp.questions_partitioned` WHERE creation_date > "2019-01-01" Takes 2 seconds and processes 14.3 MB. So we see a

Multiple “Default” instances in SQL Server cluster? (AKA multiple clustered instances without requiring an instance name to connect)

|▌冷眼眸甩不掉的悲伤 提交于 2019-12-11 15:37:27
问题 I'm setting up multiple SQL instances on an active/active cluster, and on our existing SQL Cluster, the cluster name is SQLCLUSTER, but we access the instances as SQLCLUSTERINST1\Instance1, SQLCLUSTERINST2\Instance2, etc. Since each instance has its own IP and network name anyway, can I install SQL as the "Default" instance on each network name? I'd really like to access my instances without having to give the instance name (ie, instead of the above, just SQLCLUSTERINST1, SQLCLUSTERINST2, etc

IBM Worklight 6.2 Server Deployement error: DB2 Instance not found on server

喜你入骨 提交于 2019-12-08 11:29:24
问题 Environment: IBM Worklight 6.2, IBM Liberty 8.5.5.1, IBM DB2 10.5 & Windows 2008 standard Edition. For the High Availability of DB instance[WLDBINST], the following Architecture I have followed. 2 Windows Clustered Machines with IBM DB2 binary and SAN storage used to share the Database file in Common. If any 1 node is not available the other node will take over the control without any loss of the data. I have tested the DB2 instance via Cluster IP and it works fine. The below error has been

Master/Slave Mysql Architecture vs Server/Read DB and Separate DB for writes only [closed]

为君一笑 提交于 2019-12-02 04:41:34
What are the advantages and disadvantages for Master/Slave type mysql architectures vs load balancing web servers with read only db's in each using a separate server holding a mysql database just for the writes? Master/Slave type architecture is useful for when your application is "read heavy", that is a majority of connections to the database are for reading data as opposed to writing data. Master/Slave allows you to scale out your application just by adding more hardware. Simply create a copy of the database on a new box and add it as a slave to the master. With regards to load balancing web

Resources for Database Sharding and Partitioning

你离开我真会死。 提交于 2019-11-30 04:01:44
I'm working with a database schema that is running into scalability issues. One of the tables in the schema has grown to around 10 million rows, and I am exploring sharding and partitioning options to allow this schema to scale to much larger datasets (say, 1 billion to 100 billion rows). Our application must also be deployable onto several database products, including but not limited to Oracle, MS SQL Server, and MySQL. This is a large problem in general, and I'd like to read up on what options are available. What resources are out there (books, whitepapers, web sites) for database sharding

Scaling solutions for MySQL (Replication, Clustering)

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

Scaling solutions for MySQL (Replication, Clustering)

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