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  • is ROBOCOPY a good form of backup as a tool?

    - by dasko
    seeing how it does not do a write verify unless scripted (or is it needed?) is it a decent option to dump a few folders to another server? i am just worried about whether the data, after being copied, might be corrupted but you would not be aware of it being buggy? i have used it in the past without issue but am seeking feedback in case i missed something obvious.

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  • glusterfs mounts get unmounted when 1 of the 2 bricks goes offline

    - by Shiquemano
    I have an odd case where 1 of the 2 replicated glusterfs bricks will go offline and take all of the client mounts down with it. As I understand it, this should not be happening. It should fail over to the brick that is still online, but this hasn't been the case. I suspect that this is due to configuration issue. Here is a description of the system: 2 gluster servers on dedicated hardware (gfs0, gfs1) 8 client servers on vms (client1, client2, client3, ... , client8) Half of the client servers are mounted with gfs0 as the primary, and the other half are pointed at gfs1. Each of the clients are mounted with the following entry in /etc/fstab: /etc/glusterfs/datavol.vol /data glusterfs defaults 0 0 Here is the content of /etc/glusterfs/datavol.vol: volume datavol-client-0 type protocol/client option transport-type tcp option remote-subvolume /data/datavol option remote-host gfs0 end-volume volume datavol-client-1 type protocol/client option transport-type tcp option remote-subvolume /data/datavol option remote-host gfs1 end-volume volume datavol-replicate-0 type cluster/replicate subvolumes datavol-client-0 datavol-client-1 end-volume volume datavol-dht type cluster/distribute subvolumes datavol-replicate-0 end-volume volume datavol-write-behind type performance/write-behind subvolumes datavol-dht end-volume volume datavol-read-ahead type performance/read-ahead subvolumes datavol-write-behind end-volume volume datavol-io-cache type performance/io-cache subvolumes datavol-read-ahead end-volume volume datavol-quick-read type performance/quick-read subvolumes datavol-io-cache end-volume volume datavol-md-cache type performance/md-cache subvolumes datavol-quick-read end-volume volume datavol type debug/io-stats option count-fop-hits on option latency-measurement on subvolumes datavol-md-cache end-volume The config above is the latest attempt at making this behave properly. I have also tried the following entry in /etc/fstab: gfs0:/datavol /data glusterfs defaults,backupvolfile-server=gfs1 0 0 This was the entry for half of the clients, while the other half had: gfs1:/datavol /data glusterfs defaults,backupvolfile-server=gfs0 0 0 The results were exactly the same as the above configuration. Both configs connect everything just fine, they just don't fail over. Any help would be appreciated.

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  • Scaling a LAMP website hosted on EC2

    - by Gublooo
    Hello, I'm very new to all this - I've recently managed to launch my website on EC2. As next step, I want to learn how to scale the website. I have a general idea but wanted some input from the experts about how to go about it. My website is based on LAMP but also has Red5 server which allows users to record messages and also used for playing them back. Currently this is the architecture I'm planning to setup for initial scaling. Deploy four small EC2 instances for the following purposes: Instance-1: On this instance I will run the MySql database Instance-2: On this instance I will run the red5 server Instance-3 & Instance-4 These 2 instances will be used to deploy the website and will have Apache running on them. They will communicate with the mysql server on Instance-1 and red5 server on Instance-2 using the internal IP address. As an when required, I will launch another instance of the same EBS - I will have EBS of say 50 GIG where all the mysql data will be stored. Also red5 will use this EBS to store the video messages Load-Balancer - Use the load balancer provided by Amazon to load balance Instance-3 and Instance-4 This is what I have in mind. I could be way off so please bear with me. Also I have not taken into account the case of scaling MySql server as I currently have no idea about how that will be done and whether or not it is necessary initially. I am aware that Amazon provides auto scaling and mysql scaling as well but I dont want to get into that right now. Your feedback is appreciated Thanks

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  • Cloning a VM to add a new MySQL Slave

    - by Ben Holness
    I am in the process of adding a new slave to a replicated mysql setup. All of the slave nodes are virtual machines. If I clone one of the nodes to a new VM, then start it with no networking, stop mysql, change the server-id in my.cnf to a new id and then restart mysql and networking, will it all work correctly, or will mysql get confused because it used to be a different server id? OS: Ubuntu 10.10 VM Platform: VMWare 5 MySQL : Server version: 5.1.49-1ubuntu8.1-log (Ubuntu)

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  • Replicate portion of an LDAP directory to external server

    - by colemanm
    We're in the process of setting up a Jabber server on Amazon EC2 right now, and we'd like to have our internal users authenticate via LDAP so we don't have to create/manage a separate set of user accounts than the master directory in the office. My question is: is there a way to copy, unidirectionally, a segment of our internal LDAP directory (the user accounts OU) to an external LDAP server and authenticate Jabber against that? We're trying to work around having our externally hosted machines out in the cloud accessing our internal network directly... If we can replicate in one direction only a subset of the user accounts, then if that gets compromised we don't necessarily have a critical security breach into our internal network.

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  • Sharing / replicating EBS across AWS nodes

    - by skrat
    I would like to use single EBS storage across multiple EC2 nodes (web/app servers). I've read some articles on snapshot sharing, but that doesn't suit well for what we need. We use filesystem for storing DB record attachments, so if one such attachment gets created, we need it to be immediately available to all nodes (to serve). So far only NFS seem to be viable, but it's a pain to configure and maintain. Another option could be storing those attachments on S3 instead, but that would cut us of doing any analysis on that data. This must be quite common problem when scaling in AWS, what solutions are there?

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  • What are the typical methods used to scale up/out email storage servers?

    - by nareshov
    Hi, What I've tried: I have two email storage architectures. Old and new. Old: courier-imapds on several (18+) 1TB-storage servers. If one of them show signs of running out of disk space, we migrate a few email accounts to another server. the servers don't have replicas. no backups either. New: dovecot2 on a single huge server with 16TB (SATA) storage and a few SSDs we store fresh mails on the SSDs and run a doveadm purge to move mails older than a day to the SATA disks there is an identical server which has a max-15min-old rsync backup from the primary server higher-ups/management wanted to pack in as much storage as possible per server in order to minimise the cost of SSDs per server the rsync'ing is done because GlusterFS wasn't replicating well under that high small/random-IO. scaling out was expected to be done with provisioning another pair of such huge servers on facing disk-crunch issues like in the old architecture, manual moving of email accounts would be done. Concerns/doubts: I'm not convinced with the synchronously-replicated filesystem idea works well for heavy random/small-IO. GlusterFS isn't working for us yet, I'm not sure if there's another filesystem out there for this use case. The idea was to keep identical pairs and use DNS round-robin for email delivery and IMAP/POP3 access. And if one the servers went down for whatever reasons (planned/unplanned), we'd move the IP to the other server in the pair. In filesystems like Lustre, I get the advantage of a single namespace whereby I do not have to worry about manually migrating accounts around and updating MAILHOME paths and other metadata/data. Questions: What are the typical methods used to scale up/out with the traditional software (courier-imapd / dovecot)? Do traditional software that store on a locally mounted filesystem pose a roadblock to scale out with minimal "problems"? Does one have to re-write (parts of) these to work with an object-storage of some sort - such as OpenStack object storage?

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  • Looking for a solid redirection infrastructre

    - by isoman
    We have critical servers (webservers and databases) that are fully replicated, except for the reverse proxy that we use to hide the internal stuff. This proxy is acting like a router that filters and redirects traffic to the main server and switch for failover if the main one is down. We want to find an alternative to this proxy because one single entry point is not enough. Is there any company that has a solid and redundant infrastructure that offers redirection to an IP and allows quick switching to another one?

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  • Pushing image changes to multiple servers

    - by gms8994
    I need the ability to push images out to multiple servers whenever they're updated. I've looked at Network Filesystems, but they're all but worthless due to their speed. Images can be uploaded to any one of 3 servers, and would then need to be copied to the other 2. Any suggestions? I'm open to try just about anything. EDIT: Graphics data (jpg, gif, png, etc). Linux only. We're currently using rsync. But having it work back and forth is getting cumbersome. It's all local network.

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  • Git push from post-receive

    - by meka
    I have two servers, let's call them first and second. First one is where the real development is done, and second one should be the replica. What I would like to do is put "git push" in post-receive, but there is one problem. Post-receive is executed as the user doing git push to first server, so I can't chmod 600 ssh key with no pass. What is the best practice for this? Thanx!

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  • How can I sync Access databases and keep them up-to-date?

    - by user327472
    I have an Access database on my server. We split it up and use the front-end database for search data and adding new records or reports in local computer. If we update or add a new record, that writes to the back-end of database. I want to use this database in the other building with other servers. Also, those servers have no direct connection. How can I sync both back-end databases to keep the database data up to date? These details may be useful: It's a big amount of data - about 25,750 client records. I guess there are more than 25 tables at 80 MB.

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  • Move MySQL master

    - by Noodles
    I currently have a master db server (lets call it db1) and 6 slaves (slave1-6). I've setup a new server (db2) as a slave of db1 and it's in sync. I want to change all the slaves to use db2 instead of db1, but with minimal downtime/data loss. At the moment the only way I can think of doing it is shutting down our website (so data stops being written to db1), waiting until all the slaves are up to date, flush logs on db1, shut it down. Reset master on db2, change all slaves to point to db2 with log position = 0. Is this the right way to do it or is there a way to do it without taking the site offline?

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  • How do I sync a subset of tables between two databases on the same mysql database server

    - by Mike
    would like to be able to sync a subset of tables between two mysql databases that are running on the same server. One of the databases acts as the master where inserts, updates and deletes can be made. The second database uses those same tables for read-only operations. I do not want to use federated tables to achieve this. The long term goal will be to separate the 2 databases to multiple servers, The second database that has the subset of tables as read-only may also be replicated a few times over to distribute geographically for load and performance purposes each with unqiue data.... Once that is achieved, I plan to use binlog to replicate those specific tables on the secondary databases. In the meantime, I'd like to keep these tables in sync. Is there a more elegant way to do this than other than using a cronjob and mysqldump?

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  • StoreGeneratedPattern T4 EntityFramework concern

    - by LoganWolfer
    Hi everyone, Here's the situation : I use SQL Server 2008 R2, SQL Replication, Visual Studio 2010, EntityFramework 4, C# 4. The course-of-action from our DBA is to use a rowguid column for SQL Replication to work with our setup. These columns need to have a StoreGeneratedPattern property set to Computed on every one of these columns. The problem : Every time the T4 template regenerate our EDMX (ADO.NET Entity Data Model) file (for example, when we update it from our database), I need to go manually in the EDMX XML file to add this property to every one of them. It has to go from this : <Property Name="rowguid" Type="uniqueidentifier" Nullable="false" /> To this : <Property Name="rowguid" Type="uniqueidentifier" Nullable="false" StoreGeneratedPattern="Computed"/> The solution : I'm trying to find a way to customize an ADO.NET EntityObject Generator T4 file to generate a StoreGeneratedPattern="Computed" to every rowguid that I have. I'm fairly new to T4, I only did customization to AddView and AddController T4 templates for ASP.NET MVC 2, like List.tt for example. I've looked through the EF T4 file, and I can't seem to find through this monster where I could do that (and how). My best guess is somewhere in this part of the file, line 544 to 618 of the original ADO.NET EntityObject Generator T4 file : //////// //////// Write PrimitiveType Properties. //////// private void WritePrimitiveTypeProperty(EdmProperty primitiveProperty, CodeGenerationTools code) { MetadataTools ef = new MetadataTools(this); #> /// <summary> /// <#=SummaryComment(primitiveProperty)#> /// </summary><#=LongDescriptionCommentElement(primitiveProperty, 1)#> [EdmScalarPropertyAttribute(EntityKeyProperty=<#=code.CreateLiteral(ef.IsKey(primitiveProperty))#>, IsNullable=<#=code.CreateLiteral(ef.IsNullable(primitiveProperty))#>)] [DataMemberAttribute()] <#=code.SpaceAfter(NewModifier(primitiveProperty))#><#=Accessibility.ForProperty(primitiveProperty)#> <#=code.Escape(primitiveProperty.TypeUsage)#> <#=code.Escape(primitiveProperty)#> { <#=code.SpaceAfter(Accessibility.ForGetter(primitiveProperty))#>get { <#+ if (ef.ClrType(primitiveProperty.TypeUsage) == typeof(byte[])) { #> return StructuralObject.GetValidValue(<#=code.FieldName(primitiveProperty)#>); <#+ } else { #> return <#=code.FieldName(primitiveProperty)#>; <#+ } #> } <#=code.SpaceAfter(Accessibility.ForSetter((primitiveProperty)))#>set { <#+ if (ef.IsKey(primitiveProperty)) { if (ef.ClrType(primitiveProperty.TypeUsage) == typeof(byte[])) { #> if (!StructuralObject.BinaryEquals(<#=code.FieldName(primitiveProperty)#>, value)) <#+ } else { #> if (<#=code.FieldName(primitiveProperty)#> != value) <#+ } #> { <#+ PushIndent(CodeRegion.GetIndent(1)); } #> <#=ChangingMethodName(primitiveProperty)#>(value); ReportPropertyChanging("<#=primitiveProperty.Name#>"); <#=code.FieldName(primitiveProperty)#> = StructuralObject.SetValidValue(value<#=OptionalNullableParameterForSetValidValue(primitiveProperty, code)#>); ReportPropertyChanged("<#=primitiveProperty.Name#>"); <#=ChangedMethodName(primitiveProperty)#>(); <#+ if (ef.IsKey(primitiveProperty)) { PopIndent(); #> } <#+ } #> } } private <#=code.Escape(primitiveProperty.TypeUsage)#> <#=code.FieldName(primitiveProperty)#><#=code.StringBefore(" = ", code.CreateLiteral(primitiveProperty.DefaultValue))#>; partial void <#=ChangingMethodName(primitiveProperty)#>(<#=code.Escape(primitiveProperty.TypeUsage)#> value); partial void <#=ChangedMethodName(primitiveProperty)#>(); <#+ } Any help would be appreciated. Thanks in advance. EDIT : Didn't find answer to this problem yet, if anyone have ideas to automate this, would really be appreciated.

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  • JBossCacheService: exception occurred in cache put error occurred after changing cache mode to REPL_

    - by logoin
    Hi, we have a horizontal cluster set up on JBoss 4.2. The session replication worked fine until we changed cache mode from REPL_ASYNC to REPL_SYNC to fix a issue. We started to see warning for some session failovers: [org.jboss.web.tomcat.service.session.InstantSnapshotManager.ROOT] Failed to replicate session java.lang.RuntimeException bc [local7.warning] JBossCacheService: exception occurred in cache put ... org.jboss.web.tomcat.service.session.JBossCacheWrapper.put(JBossCacheWrapper.java:147) org.jboss.web.tomcat.service.session.JBossCacheService.putSession(JBossCacheService.java:315) org.jboss.web.tomcat.service.session.JBossCacheClusteredSession.processSessionRepl(JBossCacheClusteredSession.java:125) Does anyone have any idea why this happen and how to fix it if we want to still use REPL_SYNC? Any help is appreciated. Thanks!

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  • .Net friendly, local, key-value pair, replicatable datastore

    - by Brad Mathews
    I am looking for a key/value type datastore with very specific requirements. Anyone know anything that will work? Needs to be a component of some sort. No additional installation needed. The datastore needs to be on the local hard drive. I am using VB.Net for a desktop app running Windows XP through 7 so it needs to callable by that environment. It needs to replicatable. If I have four copies of my app running on the network, each local copy of the datastore needs to replicate with the others. As close to real time as possible. The first three are easy, I can do that with ADO.Net out of the box. The last one, replication, is the one I do not have answer to. Does such an animal exist? Thanks, Brad

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  • Replicating MySQL DB to development machine - bad idea?

    - by Joel
    I am considering replicating a production MySQL database to my development machine so I've always got current data. The production database is externally hosted. My development machine is behind an unreliable internet connection. It is entirely possible that the development machine could be disconnected from the internet for extended periods of time (hours). Would there be any adverse effect on the production database by doing this? (I don't strictly need live data - but it would be nice, and good excuse to dabble with replication. If the consensus is that this is a bad idea, I'll set up a daily job to import the previous night's backup into my development database)

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  • Deploy SMO application to workstation without SQL Server 2008 installed

    - by Matt
    I am trying to deploy an application that uses SMO on a workstation without SQL Server installed on it. The instance the app is connecting to is SQL Server 2008. The application is failing with: Could not load file or assembly 'Microsoft.SqlServer.Replication, Version 10.0.0.0, Culture=neutral, PublicKeyToken=89845cdc8080cc91' or one of its dependencies. An attempt was made to load a program with an incorrect format. The assembly in question is in the same path as my application as well as system32. I am running this on a Windows 7 64 bit box. I have run SQL Native Client, CLR, and SMO MSIs from the 2008 SMO redist download page. This app worked fine when connecting to SQL Server 2005. What gives?

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  • Horizontal Scaling of Tomcat in Microsoft Azure

    - by Fabe
    Hey everyone, I am working on this quiet a while, but still no conclustion. I want to do horizontal scaling of Tomcat instances in Microsoft Azure (1,2,3,... Tomcat instances for one service). I read lots of articles about session replication, clustering,... with Tomcat. Since Azure does not support Multicasts, there is no easy way to cluster Tomcat. Also sticky sessions is no options, because Azure does round robin load balancing. Setting up two services - one with Terracotta or Apache mod_jk - and the other with Tomcat instances seems overkill for me (if even doable)... Is this even possible? Thanks in advance for reading and answering my question. Every comment/idea is highly appreciated.

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  • What is the best way to sync multiple client SqlServers to one MS SqlServer 2005?

    - by user605055
    I have several client databases that use my windows application. I want to send this data for online web site. The client databases and server database structure is different because we need to add client ID column to some tables in server data base. I use this way to sync databases; use another application and use C# bulk copy with transaction to sync databases. My server database sql server is too busy and parallel task cannot be run. I work on this solution: I use triggers after update, delete, insert to save changes in one table and create sql query to send a web service to sync data. But I must send all data first! Huge data set (bigger than 16mg) I think can't use replication because the structure and primary keys are different.

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  • Oracle TimesTen In-Memory Database Performance on SPARC T4-2

    - by Brian
    The Oracle TimesTen In-Memory Database is optimized to run on Oracle's SPARC T4 processor platforms running Oracle Solaris 11 providing unsurpassed scalability, performance, upgradability, protection of investment and return on investment. The following demonstrate the value of combining Oracle TimesTen In-Memory Database with SPARC T4 servers and Oracle Solaris 11: On a Mobile Call Processing test, the 2-socket SPARC T4-2 server outperforms: Oracle's SPARC Enterprise M4000 server (4 x 2.66 GHz SPARC64 VII+) by 34%. Oracle's SPARC T3-4 (4 x 1.65 GHz SPARC T3) by 2.7x, or 5.4x per processor. Utilizing the TimesTen Performance Throughput Benchmark (TPTBM), the SPARC T4-2 server protects investments with: 2.1x the overall performance of a 4-socket SPARC Enterprise M4000 server in read-only mode and 1.5x the performance in update-only testing. This is 4.2x more performance per processor than the SPARC64 VII+ 2.66 GHz based system. 10x more performance per processor than the SPARC T2+ 1.4 GHz server. 1.6x better performance per processor than the SPARC T3 1.65 GHz based server. In replication testing, the two socket SPARC T4-2 server is over 3x faster than the performance of a four socket SPARC Enterprise T5440 server in both asynchronous replication environment and the highly available 2-Safe replication. This testing emphasizes parallel replication between systems. Performance Landscape Mobile Call Processing Test Performance System Processor Sockets/Cores/Threads Tps SPARC T4-2 SPARC T4, 2.85 GHz 2 16 128 218,400 M4000 SPARC64 VII+, 2.66 GHz 4 16 32 162,900 SPARC T3-4 SPARC T3, 1.65 GHz 4 64 512 80,400 TimesTen Performance Throughput Benchmark (TPTBM) Read-Only System Processor Sockets/Cores/Threads Tps SPARC T3-4 SPARC T3, 1.65 GHz 4 64 512 7.9M SPARC T4-2 SPARC T4, 2.85 GHz 2 16 128 6.5M M4000 SPARC64 VII+, 2.66 GHz 4 16 32 3.1M T5440 SPARC T2+, 1.4 GHz 4 32 256 3.1M TimesTen Performance Throughput Benchmark (TPTBM) Update-Only System Processor Sockets/Cores/Threads Tps SPARC T4-2 SPARC T4, 2.85 GHz 2 16 128 547,800 M4000 SPARC64 VII+, 2.66 GHz 4 16 32 363,800 SPARC T3-4 SPARC T3, 1.65 GHz 4 64 512 240,500 TimesTen Replication Tests System Processor Sockets/Cores/Threads Asynchronous 2-Safe SPARC T4-2 SPARC T4, 2.85 GHz 2 16 128 38,024 13,701 SPARC T5440 SPARC T2+, 1.4 GHz 4 32 256 11,621 4,615 Configuration Summary Hardware Configurations: SPARC T4-2 server 2 x SPARC T4 processors, 2.85 GHz 256 GB memory 1 x 8 Gbs FC Qlogic HBA 1 x 6 Gbs SAS HBA 4 x 300 GB internal disks Sun Storage F5100 Flash Array (40 x 24 GB flash modules) 1 x Sun Fire X4275 server configured as COMSTAR head SPARC T3-4 server 4 x SPARC T3 processors, 1.6 GHz 512 GB memory 1 x 8 Gbs FC Qlogic HBA 8 x 146 GB internal disks 1 x Sun Fire X4275 server configured as COMSTAR head SPARC Enterprise M4000 server 4 x SPARC64 VII+ processors, 2.66 GHz 128 GB memory 1 x 8 Gbs FC Qlogic HBA 1 x 6 Gbs SAS HBA 2 x 146 GB internal disks Sun Storage F5100 Flash Array (40 x 24 GB flash modules) 1 x Sun Fire X4275 server configured as COMSTAR head Software Configuration: Oracle Solaris 11 11/11 Oracle TimesTen 11.2.2.4 Benchmark Descriptions TimesTen Performance Throughput BenchMark (TPTBM) is shipped with TimesTen and measures the total throughput of the system. The workload can test read-only, update-only, delete and insert operations as required. Mobile Call Processing is a customer-based workload for processing calls made by mobile phone subscribers. The workload has a mixture of read-only, update, and insert-only transactions. The peak throughput performance is measured from multiple concurrent processes executing the transactions until a peak performance is reached via saturation of the available resources. Parallel Replication tests using both asynchronous and 2-Safe replication methods. For asynchronous replication, transactions are processed in batches to maximize the throughput capabilities of the replication server and network. In 2-Safe replication, also known as no data-loss or high availability, transactions are replicated between servers immediately emphasizing low latency. For both environments, performance is measured in the number of parallel replication servers and the maximum transactions-per-second for all concurrent processes. See Also SPARC T4-2 Server oracle.com OTN Oracle TimesTen In-Memory Database oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 1 October 2012.

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  • temporary tables within stored procedures on slave servers with readonly set

    - by lau
    Hi, We have set up a replication scheme master/slave and we've had problems lately because some users wrote directly on the slave instead of the master, making the whole setup inconsistent. To prevent these problems from happening again, we've decided to remove the insert, delete, update, etc... rights from the users accessing the slave. Problems is that some stored procedure (for reading) require temporary tables. I read that changing the global variable read_only to true would do what I want and allow the stored procedures to work correctly ( http://dev.mysql.com/doc/refman/5.0/en/server-system-variables.html#sysvar_read_only ) but I keep getting the error : The MySQL server is running with the --read-only option so it cannot execute this statement (1290) The stored procedure that I used (for testing purpose) is this one : DELIMITER $$ DROP PROCEDURE IF EXISTS test_readonly $$ CREATE DEFINER=dbuser@% PROCEDURE test_readonly() BEGIN CREATE TEMPORARY TABLE IF NOT EXISTS temp ( BT_INDEX int(11), BT_DESC VARCHAR(10) ); INSERT INTO temp (BT_INDEX, BT_DESC) VALUES (222,'walou'), (111,'bidouille'); DROP TABLE temp; END $$ DELIMITER ; The create temporary table and the drop table work fine with the readonly flag - if I comment the INSERT line, it runs fine- but whenever I want to insert or delete from that temporary table, I get the error message. I use Mysql 5.1.29-rc. My default storage engine is InnoDB. Thanks in advance, this problem is really driving me crazy.

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  • Synchronizing ODSEE and OUD

    - by Etienne Remillon
    When it comes to synchronizing between ODSEE and OUD, what should be the best options ? Couple  options are available - Use one of OUD internal capability called Replication Gateway - Use our synchronization tool called Directory Integration Platform part of Oracle Directory Services Plus - Manuel export and import Let's check pro and cons on each method. Replication Gateway is the natural, out of the box solution to perform the task. We created this as a feature of OUD because it works at our replication protocol level. The gateway perform the required adaptation between the ODSEE's replication protocol and OUD's one. The benefits of doing this is that it provide strong consistency between the to type of directories. This fully leverage conflict management implemented in the replication protocols to ensure that changes are applied in a coherent and ordered manner. It does not require specific modification on existing ODSEE production instances such as turning on "retro changelog". Changes are propagated at near speed of replication in both directions. Replication Gateway can also synchronize information that are stored internally in the directory server such as "xxxxx" account locking managed at ODSEE server level and not via the nsyyyy attribute. OUD replication gateway does no require any specific tools or installation specific procedure. It is manged like other OUD component with monitoring and configuration via the standard console. OUD Replication Gateway does not perform adaptation between ODSEE and OUD. Using Directory Integration Protocol as external component to OUD, brings flexibility in remapping and transformations between ODSEE and OUD. There is a price to pay in using DIP to perform the synchronization task. You will have to turn on the retro change log to get access to changes on the ODSEE side (this will impact disk and CPU usage and performances which could be a serious challenge for your existing ODSEE environment (if you have not provisioned additional hardware and instances). You will not benefits of conflict resolution management and this might have to be addressed at application level, which is not always possible to implement. Using export and import seams very simple, but this methodology cannot ensure an highly available deployment with up to date entries on booth sides. This solution can be used if full HA with up-to-date data is not needed (during synchronization time). It often used  if data-cleaning need to take place to avoid polluting a new environment with old un-necessary data.

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  • Disabled FRS replication on a DFS link, but the targets still list the replica set in their FRS conf

    - by Graeme Donaldson
    It's been a while since I've had to deal with the wonders of FRS, so I'm doing some testing to refresh my memory. This is what I've done so far. I am stuck with FRS rather than DFS-R for the moment since not all of my link targets are running R2. Created a domain-based DFS root, hosted on 4 servers. Created a DFS link under the root, targeted at 2 servers. The shares on both servers were empty. Dropped about 500MB of data into the target folder on one server and waited for replication to complete. Added/removed/modified files on both targets and confirmed that changes are replicated within a few seconds. Deleted the contents of the target folder on 1 server and waited for the other server to replicate the deletion. All of this worked perfectly, so now I want to remove my DFS link since I only created it for testing purposes. This is where it gets weird. I'm pretty sure that in the past I've disabled replication on the DFS link and after a short amount of time each target would log an info event in the FRS event log, something along the lines of "this server is no longer a member of replica set X". I have waited about 3 hours and I haven't seen this happen. ntfrsutl ds tells me that the server is not a member of any set, which is expected because when I disable replication on the link, the AD attributes on the computer object are removed. The weird part is... ntfrsutl sets still shows me the replica set, with all the properties, etc. So it seems like the FRS-related attributes of the target server's AD object are gone, but the FRS service for some reason hasn't removed the replica set. Can anyone see what I have done wrong?

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  • Is there a theory for "transactional" sequences of failing and no-fail actions?

    - by Ross Bencina
    My question is about writing transaction-like functions that execute sequences of actions, some of which may fail. It is related to the general C++ principle "destructors can't throw," no-fail property, and maybe also with multi-phase transactions or exception safety. However, I'm thinking about it in language-neutral terms. My concern is with correctly designing error handling in C++ functions that must be reliable. I would like to know what the concepts below are called so that I can learn more about them. I'm sorry that I can't ask the question more directly. Since I don't know this area I have provided an example to explain my question. The question is at the end. Here goes: Consider a sequence of steps or actions executed sequentially, where actions belong to one of two classes: those that always succeed, and those that may fail. In the examples below: S stands for an action that always succeeds (called "no-fail" in some settings). F stands for an action that may fail (for example, it might fail to allocate memory or do I/O that could fail). Consider a sequences of actions (executed sequentially from left to right): S->S->S->S Since each action in the sequence above succeeds, the whole sequence succeeds. On the other hand, the following sequence may fail because the last action may fail: S->S->S->F So, claim: a sequence has the no-fail (S) property if and only if all of its actions are no-fail. Now, I'm interested in action sequences that form "atomic transactions", with "failure atomicity," i.e. where either the whole sequence completes successfully, or there is no effect. I.e. if some action fails, the earlier ones must be rolled back. This requires that any successfully executed actions prior to a failing action must always be able to be rolled back. Consider the sequence: S->S->S->F S<-S<-S In the example above, the first row is the forward path of the transaction, and the second row are inverse actions (executed from right to left) that can be used to roll back if the final top row actions fails. It seems to me that for a transaction to support failure atomicity, the following invariant must hold: Claim: To support failure atomicity (either completion or complete roll-back on failure) all actions preceding the latest failable (F) action on the forward path (marked * in the example below) must have no-fail (S) inverses. The following is an example of a sequence that supports failure atomicity: * S->F->F->F S<-S<-S Further, if we want the transaction to be able to attempt cancellation mid-way through, but still guarantee either full completion or full rollback then we need the following property: Claim: To support failure atomicity and cancellation mid-way through execution, in the face of errors in the inverse (cancellation) path, all actions following the earliest failable (F) inverse on the reverse path (marked *) must be no-fail (S). F->F->F->S->S S<-S<-F<-F * I believe that these two conditions guarantee that an abortable/cancelable transaction will never get "stuck". My questions are: What is the study and theory of these properties called? are my claims correct? and what else is there to know? UPDATE 1: Updated terminology: what I previously called "robustness" is called atomicity in the database literature. UPDATE 2: Added explicit reference to failure atomicity, which seems to be a thing.

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