replication

I have set the replication factor for my file as follows: hadoop fs -D dfs.replication=5 -copyFromLocal file.txt /user/xxxx When a NameNode restarts, it makes sure under-replicated blocks are replicated. Hence the replication info for the file is stored (possibly in nameNode ). How can I get that information? Try to use command hadoop fs -stat %r /path/to/file , it should print the replication factor. You can run following command to get replication factor, hadoop fs -ls /user/xxxx The second column in the output signify replication factor for the file and for the folder it shows - , as shown

I have a 3 node Cassandra cluster with replication factor of 2. Because one of the nodes has been replaced with a new one. And I have used "nodetool repair" to repair all the keyspaces. But don't know how to verify that all the keyspaces are synced. Before, Just found this article would help, but a little. Cassandra Data Replication problem Is there any way to verify the keyspaces with replication factor > 1 in Cassandra? Thanks a lot. stephon First, if you run nodetool repair again and very little data is transferred (assuming all nodes have been up since the last time you ran), you know that

I have looked at some resources already and just want to clarify and get an opinion. First of all to totally avoid any problems we could just not bother using identity columns as primary keys instead have them generated ourselves and just have those values replicated both ways presuming they are always unique at any time of creation. For the purposes of this question I am talking about 2 or more way replication to solve global access issues and we do have identity columns. Now we are setting up transactional replication and both databases should replicate to each other. As I understand it you

I have the following topology. One Ubuntu 16.04. Instance on the Amazon AWS where my global MySQL Server is running. I want to use this Server as a Slave (Multi-Source Replication) for many local Master (Windows Machines MySQL Server). For Testing Reasons I`ve Managed to make this running on one local Machine (with three different MySQL Server Running). But now I want to make this Replication work on the mentioned global Server with the local ones. But it fails on the attempt to connect from the EC2 ubuntu Instance to the local Windows MySQL Server. When I try to connect from my EC2 Instance

This is the situation: We have a series of users who share some documents. The documents they can share might change throughout the day, so can the documents themselves (changes and deletions). The users can change some information on the documents. E.g. Users | Documents A | X A | Y A | Z B | X B | Z C | Y Possible groups: A+C, A+B The server on CouchDB is a replica of a SQL Server DB with this data, an ETL takes care of managing changes on CouchDB. However, the CouchDB database is replicated on each user phone via PouchDB. The goal: To replicate changes and deletions accordingly. What we've

I have a PHP application that has grown in size. The database used to be on a single master but we intend to change that with a fairly standard master/slave replication for performance and HA. Since this app is read-heavy I would like to have the reads delegated to the slave replicas and writes going to the master. The app is based on Zend Framework 1.1.10 and uses Zend_Db. What would be my best strategy for getting this app to split reads and writes to the DB without refactoring the code too much? (I realize there would probably be some refactoring involved here). P.S: I have looked at MySQL

We have merge replication set up over a distributed environment (50 to 1500km between offices) for a SQL Server 2005 database of about 350Gb. We now need to add a couple of new tables that must also be in replication, but without pushing the new snapshot to all the subscribers. Is this possible, and if so, what would be the best way to go about doing this? sp_addmergearticle - Adds an article to an existing merge publication. This stored procedure is executed at the Publisher on the publication database. http://msdn.microsoft.com/en-us/library/ms174329.aspx 来源： https://stackoverflow.com