Search Results

Search found 443 results on 18 pages for 'clusters'.

Page 1/18 | 1 2 3 4 5 6 7 8 9 10 11 12  | Next Page >

• Managing Database Clusters - A Whole Lot Simpler

  - by mat.keep(at)oracle.com

  Clustered computing brings with it many benefits: high performance, high availability, scalable infrastructure, etc.  But it also brings with it more complexity.Why ?  Well, by its very nature, there are more "moving parts" to monitor and manage (from physical, virtual and logical hosts) to fault detection and failover software to redundant networking components - the list goes on.  And a cluster that isn't effectively provisioned and managed will cause more downtime than the standalone systems it is designed to improve upon.  Not so great....When it comes to the database industry, analysts already estimate that 50% of a typical database's Total Cost of Ownership is attributable to staffing and downtime costs.  These costs will only increase if a database cluster is to hard to properly administer.Over the past 9 months, monitoring and management has been a major focus in the development of the MySQL Cluster database, and on Tuesday 12th January, the product team will be presenting the output of that development in a new webinar.Even if you can't make the date, it is still worth registering so you will receive automatic notification when the on-demand replay is availableIn the webinar, the team will cover:    * NDBINFO: released with MySQL Cluster 7.1, NDBINFO presents real-time status and usage statistics, providing developers and DBAs with a simple means of pro-actively monitoring and optimizing database performance and availability.    * MySQL Cluster Manager (MCM): available as part of the commercial MySQL Cluster Carrier Grade Edition, MCM simplifies the creation and management of MySQL Cluster by automating common management tasks, delivering higher administration productivity and enhancing cluster agility. Tasks that used to take 46 commands can be reduced to just one!    * MySQL Cluster Advisors & Graphs: part of the MySQL Enterprise Monitor and available in the commercial MySQL Cluster Carrier Grade Edition, the Enterprise Advisor includes automated best practice rules that alert on key performance and availability metrics from MySQL Cluster data nodes.You'll also learn how you can get started evaluating and using all of these tools to simplify MySQL Cluster management.This session will last round an hour and will include interactive Q&A throughout. You can learn more about MySQL Cluster Manager from this whitepaper and on-line demonstration.  You can also download the packages from eDelivery (just select "MySQL Database" as the product pack, select your platform, click "Go" and then scroll down to get the software).While managing clusters will never be easy, the webinar will show hou how it just got a whole lot simpler !

  Read the article

• Ubuntu and Windows 8 shared partition gets corrupted

  - by Bruno-P

  I have a dual boot (Ubuntu 12.04 and Windows 8) system. Both systems have access to an NTFS "DATA" partition which contains all my images, documents, music and some application data like Chrome and Thunderbird Profiles which used by both OS. Everything was working fine in my Dual boot Ubuntu/Windows 7, but after updating to Windows 8 I am having a lot of troubles. First, sometimes, I add some files from Ubuntu into my DATA partition but they don't show up in Windows. Sometimes, I can't even use the DATA partition from Windows. When I try to save a file it gives an error "The directory or file is corrupted or unreadable". I need to run checkdisk to fix it but after some time, same error appears. Before upgrading to Windows 8 I also installed a new hard drive and copied the old data using clonezilla (full disk clone). Here is the log of my last chkdisk: Chkdsk was executed in read/write mode. Checking file system on D: Volume dismounted. All opened handles to this volume are now invalid. Volume label is DATA. CHKDSK is verifying files (stage 1 of 3)... Deleted corrupt attribute list entry with type code 128 in file 67963. Unable to find child frs 0x12a3f with sequence number 0x15. The attribute of type 0x80 and instance tag 0x2 in file 0x1097b has allocated length of 0x560000 instead of 0x427000. Deleted corrupt attribute list entry with type code 128 in file 67963. Unable to locate attribute with instance tag 0x2 and segment reference 0x1e00000001097b. The expected attribute type is 0x80. Deleting corrupt attribute record (128, "") from file record segment 67963. Attribute record of type 0x80 and instance tag 0x3 is cross linked starting at 0x2431b2 for possibly 0x20 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x3 in file 0x1791e is already in use. Deleting corrupt attribute record (128, "") from file record segment 96542. Attribute record of type 0x80 and instance tag 0x4 is cross linked starting at 0x6bc7 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x4 in file 0x17e83 is already in use. Deleting corrupt attribute record (128, "") from file record segment 97923. Attribute record of type 0x80 and instance tag 0x4 is cross linked starting at 0x1f7cec for possibly 0x5 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x4 in file 0x17eaf is already in use. Deleting corrupt attribute record (128, "") from file record segment 97967. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x441bd7f for possibly 0x9 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x32085 is already in use. Deleting corrupt attribute record (128, "") from file record segment 204933. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4457850 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x320be is already in use. Deleting corrupt attribute record (128, "") from file record segment 204990. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4859249 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x3726b is already in use. Deleting corrupt attribute record (128, "") from file record segment 225899. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x485d309 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x3726c is already in use. Deleting corrupt attribute record (128, "") from file record segment 225900. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x48a47de for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x37286 is already in use. Deleting corrupt attribute record (128, "") from file record segment 225926. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x48ac80b for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x37287 is already in use. Deleting corrupt attribute record (128, "") from file record segment 225927. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x48ae7ef for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x37288 is already in use. Deleting corrupt attribute record (128, "") from file record segment 225928. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x48af7f8 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x3728a is already in use. Deleting corrupt attribute record (128, "") from file record segment 225930. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x48c39b6 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x37292 is already in use. Deleting corrupt attribute record (128, "") from file record segment 225938. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x495d37a for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x372d7 is already in use. Deleting corrupt attribute record (128, "") from file record segment 226007. Attribute record of type 0xa0 and instance tag 0x5 is cross linked starting at 0x4d0bd38 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0xa0 and instance tag 0x5 in file 0x372dc is already in use. Deleting corrupt attribute record (160, $I30) from file record segment 226012. Attribute record of type 0xa0 and instance tag 0x5 is cross linked starting at 0x4c2d9bc for possibly 0x1 clusters. Some clusters occupied by attribute of type 0xa0 and instance tag 0x5 in file 0x372ed is already in use. Deleting corrupt attribute record (160, $I30) from file record segment 226029. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4a4c1c3 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x37354 is already in use. Deleting corrupt attribute record (128, "") from file record segment 226132. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4a8e639 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x37376 is already in use. Deleting corrupt attribute record (128, "") from file record segment 226166. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4a8f6eb for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x37379 is already in use. Deleting corrupt attribute record (128, "") from file record segment 226169. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4ae1aa8 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x37391 is already in use. Deleting corrupt attribute record (128, "") from file record segment 226193. Attribute record of type 0xa0 and instance tag 0x5 is cross linked starting at 0x4b00d45 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0xa0 and instance tag 0x5 in file 0x37396 is already in use. Deleting corrupt attribute record (160, $I30) from file record segment 226198. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4b02d50 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x3739c is already in use. Deleting corrupt attribute record (128, "") from file record segment 226204. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4b3407a for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x373a8 is already in use. Deleting corrupt attribute record (128, "") from file record segment 226216. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4bd8a1b for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x373db is already in use. Deleting corrupt attribute record (128, "") from file record segment 226267. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4bd9a28 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x373dd is already in use. Deleting corrupt attribute record (128, "") from file record segment 226269. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4c2fb24 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x373f3 is already in use. Deleting corrupt attribute record (128, "") from file record segment 226291. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4cb67e9 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x37424 is already in use. Deleting corrupt attribute record (128, "") from file record segment 226340. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4cba829 for possibly 0x2 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x37425 is already in use. Deleting corrupt attribute record (128, "") from file record segment 226341. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4cbe868 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x37427 is already in use. Deleting corrupt attribute record (128, "") from file record segment 226343. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4cbf878 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x37428 is already in use. Deleting corrupt attribute record (128, "") from file record segment 226344. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4cc58d8 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x3742a is already in use. Deleting corrupt attribute record (128, "") from file record segment 226346. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4ccc943 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x3742b is already in use. Deleting corrupt attribute record (128, "") from file record segment 226347. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4cd199b for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x3742d is already in use. Deleting corrupt attribute record (128, "") from file record segment 226349. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4cd29a8 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x3742f is already in use. Deleting corrupt attribute record (128, "") from file record segment 226351. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4cd39b8 for possibly 0x2 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x37430 is already in use. Deleting corrupt attribute record (128, "") from file record segment 226352. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4cd49c8 for possibly 0x2 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x37432 is already in use. Deleting corrupt attribute record (128, "") from file record segment 226354. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4cd9a16 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x37435 is already in use. Deleting corrupt attribute record (128, "") from file record segment 226357. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4cdca46 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x37436 is already in use. Deleting corrupt attribute record (128, "") from file record segment 226358. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4ce0a78 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x37437 is already in use. Deleting corrupt attribute record (128, "") from file record segment 226359. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4ce6ad9 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x3743a is already in use. Deleting corrupt attribute record (128, "") from file record segment 226362. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4cebb28 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x3743b is already in use. Deleting corrupt attribute record (128, "") from file record segment 226363. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4ceeb67 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x3743d is already in use. Deleting corrupt attribute record (128, "") from file record segment 226365. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4cf4bc6 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x3743e is already in use. Deleting corrupt attribute record (128, "") from file record segment 226366. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4cfbc3a for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x37440 is already in use. Deleting corrupt attribute record (128, "") from file record segment 226368. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4cfcc48 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x37442 is already in use. Deleting corrupt attribute record (128, "") from file record segment 226370. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4d02ca9 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x37443 is already in use. Deleting corrupt attribute record (128, "") from file record segment 226371. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4d06ce8 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x37444 is already in use. Deleting corrupt attribute record (128, "") from file record segment 226372. Attribute record of type 0xa0 and instance tag 0x5 is cross linked starting at 0x4d9a608 for possibly 0x2 clusters. Some clusters occupied by attribute of type 0xa0 and instance tag 0x5 in file 0x37449 is already in use. Deleting corrupt attribute record (160, $I30) from file record segment 226377. Attribute record of type 0xa0 and instance tag 0x5 is cross linked starting at 0x4d844ab for possibly 0x1 clusters. Some clusters occupied by attribute of type 0xa0 and instance tag 0x5 in file 0x3744b is already in use. Deleting corrupt attribute record (160, $I30) from file record segment 226379. Attribute record of type 0xa0 and instance tag 0x5 is cross linked starting at 0x4d6c32b for possibly 0x1 clusters. Some clusters occupied by attribute of type 0xa0 and instance tag 0x5 in file 0x3744c is already in use. Deleting corrupt attribute record (160, $I30) from file record segment 226380. Attribute record of type 0xa0 and instance tag 0x5 is cross linked starting at 0x4d2af25 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0xa0 and instance tag 0x5 in file 0x3744e is already in use. Deleting corrupt attribute record (160, $I30) from file record segment 226382. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4d0fd78 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x80 and instance tag 0x2 in file 0x37451 is already in use. Deleting corrupt attribute record (128, "") from file record segment 226385. Attribute record of type 0x80 and instance tag 0x2 is cross linked starting at 0x4d16ef8 for possibly 0x1 clusters. Some clusters occupied by attribute of type 0x8 Can anyone help? Thank you

  Read the article

• File system with chained clusters

  - by Maki Maki

  I'm trying to create school file system with partitions on disks, every partition has its cluster for her representation. typedef unsigned long ClusterNo; const unsigned long ClusterSize = 2048; int x, y ;//x ,y are entries for two-chained lists of clusters if (endOfFile<maxsize// { ... { pointer = KernelFS::searchFreeCluster(partitionPointer->letter) " How can I initialize the beginning for two clusters, their pointers to be 32 bits?

  Read the article

• CPU Usage in Very Large Coherence Clusters

  - by jpurdy

  When sizing Coherence installations, one of the complicating factors is that these installations (by their very nature) tend to be application-specific, with some being large, memory-intensive caches, with others acting as I/O-intensive transaction-processing platforms, and still others performing CPU-intensive calculations across the data grid. Regardless of the primary resource requirements, Coherence sizing calculations are inherently empirical, in that there are so many permutations that a simple spreadsheet approach to sizing is rarely optimal (though it can provide a good starting estimate). So we typically recommend measuring actual resource usage (primarily CPU cycles, network bandwidth and memory) at a given load, and then extrapolating from those measurements. Of course there may be multiple types of load, and these may have varying degrees of correlation -- for example, an increased request rate may drive up the number of objects "pinned" in memory at any point, but the increase may be less than linear if those objects are naturally shared by concurrent requests. But for most reasonably-designed applications, a linear resource model will be reasonably accurate for most levels of scale. However, at extreme scale, sizing becomes a bit more complicated as certain cluster management operations -- while very infrequent -- become increasingly critical. This is because certain operations do not naturally tend to scale out. In a small cluster, sizing is primarily driven by the request rate, required cache size, or other application-driven metrics. In larger clusters (e.g. those with hundreds of cluster members), certain infrastructure tasks become intensive, in particular those related to members joining and leaving the cluster, such as introducing new cluster members to the rest of the cluster, or publishing the location of partitions during rebalancing. These tasks have a strong tendency to require all updates to be routed via a single member for the sake of cluster stability and data integrity. Fortunately that member is dynamically assigned in Coherence, so it is not a single point of failure, but it may still become a single point of bottleneck (until the cluster finishes its reconfiguration, at which point this member will have a similar load to the rest of the members). The most common cause of scaling issues in large clusters is disabling multicast (by configuring well-known addresses, aka WKA). This obviously impacts network usage, but it also has a large impact on CPU usage, primarily since the senior member must directly communicate certain messages with every other cluster member, and this communication requires significant CPU time. In particular, the need to notify the rest of the cluster about membership changes and corresponding partition reassignments adds stress to the senior member. Given that portions of the network stack may tend to be single-threaded (both in Coherence and the underlying OS), this may be even more problematic on servers with poor single-threaded performance. As a result of this, some extremely large clusters may be configured with a smaller number of partitions than ideal. This results in the size of each partition being increased. When a cache server fails, the other servers will use their fractional backups to recover the state of that server (and take over responsibility for their backed-up portion of that state). The finest granularity of this recovery is a single partition, and the single service thread can not accept new requests during this recovery. Ordinarily, recovery is practically instantaneous (it is roughly equivalent to the time required to iterate over a set of backup backing map entries and move them to the primary backing map in the same JVM). But certain factors can increase this duration drastically (to several seconds): large partitions, sufficiently slow single-threaded CPU performance, many or expensive indexes to rebuild, etc. The solution of course is to mitigate each of those factors but in many cases this may be challenging. Larger clusters also lead to the temptation to place more load on the available hardware resources, spreading CPU resources thin. As an example, while we've long been aware of how garbage collection can cause significant pauses, it usually isn't viewed as a major consumer of CPU (in terms of overall system throughput). Typically, the use of a concurrent collector allows greater responsiveness by minimizing pause times, at the cost of reducing system throughput. However, at a recent engagement, we were forced to turn off the concurrent collector and use a traditional parallel "stop the world" collector to reduce CPU usage to an acceptable level. In summary, there are some less obvious factors that may result in excessive CPU consumption in a larger cluster, so it is even more critical to test at full scale, even though allocating sufficient hardware may often be much more difficult for these large clusters.

  Read the article

• Coherence Query Performance in Large Clusters

  - by jpurdy

  Large clusters (measured in terms of the number of storage-enabled members participating in the largest cache services) may introduce challenges when issuing queries. There is no particular cluster size threshold for this, rather a gradually increasing tendency for issues to arise. The most obvious challenges are that a client's perceived query latency will be determined by the slowest responder (more likely to be a factor in larger clusters) as well as the fact that adding additional cache servers will not increase query throughput if the query processing is not compute-bound (which would generally be the case for most indexed queries). If the data set can take advantage of the partition affinity features of Coherence, then the application can use a PartitionedFilter to target a query to a single server (using partition affinity to ensure that all data is in a single partition). If this can not be done, then avoiding an excessive number of cache server JVMs will help, as will ensuring that each cache server has sufficient CPU resources available and is also properly configured to minimize GC pauses (the most common cause of a slow-responding cache server).

  Read the article

• Cloning Oracle E-Business Suite Release 12.2 on Real Application Clusters

  - by Max Arderius

  We are pleased to announce the certification of Rapid Clone with Oracle E-Business Suite Release 12.2 on systems running Real Application Clusters (RAC). A new cloning procedure for Oracle E-Business Suite 12.2 has been published in the following My Oracle Support document: Cloning Oracle E-Business Suite Release 12.2 RAC Enabled Systems with Rapid Clone (Note 1679270.1) Please review that document for all required patches and prerequisites. Related Documents 1383621.1 : Cloning Oracle Applications Release 12.2 with Rapid Clone 1583092.1 : Oracle E-Business Suite Release 12.2: Suite-Wide Rollup and AD/TXK Delta Information 1617461.1 : Applying R12.AD.C.Delta.4 and R12.TXK.C.Delta.4 Release Update Packs

  Read the article

• NoSQL : MongoDB 2.2 est disponible, framework d'agrégation, meilleure gestion des clusters distribués et de l'accès concurrentiel

  NoSQL : MongoDB 2.2 est disponible Framework d'agrégation, meilleure gestion des clusters distribués et amélioration de l'accès concurrentiel 10Gen, l'entreprise derrière le SGBD populaire MongoDB, vient d'annoncer la dernière version de l'outil, à savoir la 2.2. Elle comporte des fonctionnalités anticipées dans la Developer Preview de la 2.1, mais adaptées à un environnement de production. [IMG]http://idelways.developpez.com/news/images/mongodb.png[/IMG]L'apport le plus important de cette version est un nouveau framework d'agrégation en temps réel idéal pour les opérations complexes d'analyse. Celui-ci permettra de récupérer et de manipuler les données dans MongoDB, san...

  Read the article

• UAT Testing for SOA 10G Clusters

  - by [email protected]

  A lot of customers ask how to verify their SOA clusters and make them production ready. Here is a list that I recommend using for 10G SOA Clusters. v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} Normal 0 false false false EN-CA X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; mso-bidi-font-size:12.0pt; font-family:"Calibri","sans-serif"; mso-fareast-language:EN-US;} Test cases for each component - Oracle Application Server 10G General Application Server test cases This section is going to cover very General test cases to make sure that the Application Server cluster has been set up correctly and if you can start and stop all the components in the server via opmnct and AS Console. Test Case 1 Check if you can see AS instances in the console Implementation 1. Log on to the AS Console --> check to see if you can see all the nodes in your AS cluster. You should be able to see all the Oracle AS instances that are part of the cluster. This means that the OPMN clustering worked and the AS instances successfully joined the AS cluster. Result You should be able to see if all the instances in the AS cluster are listed in the EM console. If the instances are not listed here are the files to check to see if OPMN joined the cluster properly: $ORACLE_HOME\opmn\logs{*}opmn.log*$ORACLE_HOME\opmn\logs{*}opmn.dbg* If OPMN did not join the cluster properly, please check the opmn.xml file to make sure the discovery multicast address and port are correct (see this link  for opmn documentation). Restart the whole instance using opmnctl stopall followed by opmnctl startall. Log on to AS console to see if instance is listed as part of the cluster. Test Case 2 Check to see if you can start/stop each component Implementation Check each OC4J component on each AS instanceStart each and every component through the AS console to see if they will start and stop.Do that for each and every instance. Result Each component should start and stop through the AS console. You can also verify if the component started by checking opmnctl status by logging onto each box associated with the cluster Test Case 3 Add/modify a datasource entry through AS console on a remote AS instance (not on the instance where EM is physically running) Implementation Pick an OC4J instanceCreate a new data-source through the AS consoleModify an existing data-source or connection pool (optional) Result Open $ORACLE_HOME\j2ee\<oc4j_name>\config\data-sources.xml to see if the new (and or the modified) connection details and data-source exist. If they do then the AS console has successfully updated a remote file and MBeans are communicating correctly. Test Case 4 Start and stop AS instances using opmnctl @cluster command Implementation 1. Go to $ORACLE_HOME\opmn\bin and use the opmnctl @cluster to start and stop the AS instances Result Use opmnctl @cluster status to check for start and stop statuses.  HTTP server test cases This section will deal with use cases to test HTTP server failover scenarios. In these examples the HTTP server will be talking to the BPEL console (or any other web application that the client wants), so the URL will be _http://hostname:port\BPELConsole Test Case 1  Shut down one of the HTTP servers while accessing the BPEL console and see the requested routed to the second HTTP server in the cluster Implementation Access the BPELConsoleCheck $ORACLE_HOME\Apache\Apache\logs\access_log --> check for the timestamp and the URL that was accessed by the user. Timestamp and URL would look like this 1xx.2x.2xx.xxx [24/Mar/2009:16:04:38 -0500] "GET /BPELConsole=System HTTP/1.1" 200 15 After you have figured out which HTTP server this is running on, shut down this HTTP server by using opmnctl stopproc --> this is a graceful shutdown.Access the BPELConsole again (please note that you should have a LoadBalancer in front of the HTTP server and configured the Apache Virtual Host, see EDG for steps)Check $ORACLE_HOME\Apache\Apache\logs\access_log --> check for the timestamp and the URL that was accessed by the user. Timestamp and URL would look like above Result Even though you are shutting down the HTTP server the request is routed to the surviving HTTP server, which is then able to route the request to the BPEL Console and you are able to access the console. By checking the access log file you can confirm that the request is being picked up by the surviving node. Test Case 2 Repeat the same test as above but instead of calling opmnctl stopproc, pull the network cord of one of the HTTP servers, so that the LBR routes the request to the surviving HTTP node --> this is simulating a network failure. Test Case 3 In test case 1 we have simulated a graceful shutdown, in this case we will simulate an Apache crash Implementation Use opmnctl status -l to get the PID of the HTTP server that you would like forcefully bring downOn Linux use kill -9 <PID> to kill the HTTP serverAccess the BPEL console Result As you shut down the HTTP server, OPMN will restart the HTTP server. The restart may be so quick that the LBR may still route the request to the same server. One way to check if the HTTP server restared is to check the new PID and the timestamp in the access log for the BPEL console. BPEL test cases This section is going to cover scenarios dealing with BPEL clustering using jGroups, BPEL deployment and testing related to BPEL failover. Test Case 1 Verify that jGroups has initialized correctly. There is no real testing in this use case just a visual verification by looking at log files that jGroups has initialized correctly. Check the opmn log for the BPEL container for all nodes at $ORACLE_HOME/opmn/logs/<group name><container name><group name>~1.log. This logfile will contain jGroups related information during startup and steady-state operation. Soon after startup you should find log entries for UDP or TCP.Example jGroups Log Entries for UDPApr 3, 2008 6:30:37 PM org.collaxa.thirdparty.jgroups.protocols.UDP createSockets ·         INFO: sockets will use interface 144.25.142.172·          ·         Apr 3, 2008 6:30:37 PM org.collaxa.thirdparty.jgroups.protocols.UDP createSockets·          ·         INFO: socket information:·          ·         local_addr=144.25.142.172:1127, mcast_addr=228.8.15.75:45788, bind_addr=/144.25.142.172, ttl=32·         sock: bound to 144.25.142.172:1127, receive buffer size=64000, send buffer size=32000·         mcast_recv_sock: bound to 144.25.142.172:45788, send buffer size=32000, receive buffer size=64000·         mcast_send_sock: bound to 144.25.142.172:1128, send buffer size=32000, receive buffer size=64000·         Apr 3, 2008 6:30:37 PM org.collaxa.thirdparty.jgroups.protocols.TP$DiagnosticsHandler bindToInterfaces·          ·         -------------------------------------------------------·          ·         GMS: address is 144.25.142.172:1127·          ------------------------------------------------------- Example jGroups Log Entries for TCPApr 3, 2008 6:23:39 PM org.collaxa.thirdparty.jgroups.blocks.ConnectionTable start ·         INFO: server socket created on 144.25.142.172:7900·          ·         Apr 3, 2008 6:23:39 PM org.collaxa.thirdparty.jgroups.protocols.TP$DiagnosticsHandler bindToInterfaces·          ·         -------------------------------------------------------·         GMS: address is 144.25.142.172:7900------------------------------------------------------- In the log below the "socket created on" indicates that the TCP socket is established on the own node at that IP address and port the "created socket to" shows that the second node has connected to the first node, matching the logfile above with the IP address and port.Apr 3, 2008 6:25:40 PM org.collaxa.thirdparty.jgroups.blocks.ConnectionTable start ·         INFO: server socket created on 144.25.142.173:7901·          ·         Apr 3, 2008 6:25:40 PM org.collaxa.thirdparty.jgroups.protocols.TP$DiagnosticsHandler bindToInterfaces·          ·         ------------------------------------------------------·         GMS: address is 144.25.142.173:7901·         -------------------------------------------------------·         Apr 3, 2008 6:25:41 PM org.collaxa.thirdparty.jgroups.blocks.ConnectionTable getConnectionINFO: created socket to 144.25.142.172:7900  Result By reviewing the log files, you can confirm if BPEL clustering at the jGroups level is working and that the jGroup channel is communicating. Test Case 2  Test connectivity between BPEL Nodes Implementation Test connections between different cluster nodes using ping, telnet, and traceroute. The presence of firewalls and number of hops between cluster nodes can affect performance as they have a tendency to take down connections after some time or simply block them.Also reference Metalink Note 413783.1: "How to Test Whether Multicast is Enabled on the Network." Result Using the above tools you can confirm if Multicast is working  and whether BPEL nodes are commnunicating. Test Case3 Test deployment of BPEL suitcase to one BPEL node.  Implementation Deploy a HelloWorrld BPEL suitcase (or any other client specific BPEL suitcase) to only one BPEL instance using ant, or JDeveloper or via the BPEL consoleLog on to the second BPEL console to check if the BPEL suitcase has been deployed Result If jGroups has been configured and communicating correctly, BPEL clustering will allow you to deploy a suitcase to a single node, and jGroups will notify the second instance of the deployment. The second BPEL instance will go to the DB and pick up the new deployment after receiving notification. The result is that the new deployment will be "deployed" to each node, by only deploying to a single BPEL instance in the BPEL cluster. Test Case 4  Test to see if the BPEL server failsover and if all asynch processes are picked up by the secondary BPEL instance Implementation Deploy a 2 Asynch process: A ParentAsynch Process which calls a ChildAsynchProcess with a variable telling it how many times to loop or how many seconds to sleepA ChildAsynchProcess that loops or sleeps or has an onAlarmMake sure that the processes are deployed to both serversShut down one BPEL serverOn the active BPEL server call ParentAsynch a few times (use the load generation page)When you have enough ParentAsynch instances shut down this BPEL instance and start the other one. Please wait till this BPEL instance shuts down fully before starting up the second one.Log on to the BPEL console and see that the instance were picked up by the second BPEL node and completed Result The BPEL instance will failover to the secondary node and complete the flow ESB test cases This section covers the use cases involved with testing an ESB cluster. For this section please Normal 0 false false false EN-CA X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; mso-bidi-font-size:12.0pt; font-family:"Calibri","sans-serif"; mso-fareast-language:EN-US;} follow Metalink Note 470267.1 which covers the basic tests to verify your ESB cluster.

  Read the article

• Using WKA in Large Coherence Clusters (Disabling Multicast)

  - by jpurdy

  Disabling hardware multicast (by configuring well-known addresses aka WKA) will place significant stress on the network. For messages that must be sent to multiple servers, rather than having a server send a single packet to the switch and having the switch broadcast that packet to the rest of the cluster, the server must send a packet to each of the other servers. While hardware varies significantly, consider that a server with a single gigabit connection can send at most ~70,000 packets per second. To continue with some concrete numbers, in a cluster with 500 members, that means that each server can send at most 140 cluster-wide messages per second. And if there are 10 cluster members on each physical machine, that number shrinks to 14 cluster-wide messages per second (or with only mild hyperbole, roughly zero). It is also important to keep in mind that network I/O is not only expensive in terms of the network itself, but also the consumption of CPU required to send (or receive) a message (due to things like copying the packet bytes, processing a interrupt, etc). Fortunately, Coherence is designed to rely primarily on point-to-point messages, but there are some features that are inherently one-to-many: Announcing the arrival or departure of a member Updating partition assignment maps across the cluster Creating or destroying a NamedCache Invalidating a cache entry from a large number of client-side near caches Distributing a filter-based request across the full set of cache servers (e.g. queries, aggregators and entry processors) Invoking clear() on a NamedCache The first few of these are operations that are primarily routed through a single senior member, and also occur infrequently, so they usually are not a primary consideration. There are cases, however, where the load from introducing new members can be substantial (to the point of destabilizing the cluster). Consider the case where cluster in the first paragraph grows from 500 members to 1000 members (holding the number of physical machines constant). During this period, there will be 500 new member introductions, each of which may consist of several cluster-wide operations (for the cluster membership itself as well as the partitioned cache services, replicated cache services, invocation services, management services, etc). Note that all of these introductions will route through that one senior member, which is sharing its network bandwidth with several other members (which will be communicating to a lesser degree with other members throughout this process). While each service may have a distinct senior member, there's a good chance during initial startup that a single member will be the senior for all services (if those services start on the senior before the second member joins the cluster). It's obvious that this could cause CPU and/or network starvation. In the current release of Coherence (3.7.1.3 as of this writing), the pure unicast code path also has less sophisticated flow-control for cluster-wide messages (compared to the multicast-enabled code path), which may also result in significant heap consumption on the senior member's JVM (from the message backlog). This is almost never a problem in practice, but with sufficient CPU or network starvation, it could become critical. For the non-operational concerns (near caches, queries, etc), the application itself will determine how much load is placed on the cluster. Applications intended for deployment in a pure unicast environment should be careful to avoid excessive dependence on these features. Even in an environment with multicast support, these operations may scale poorly since even with a constant request rate, the underlying workload will increase at roughly the same rate as the underlying resources are added. Unless there is an infrastructural requirement to the contrary, multicast should be enabled. If it can't be enabled, care should be taken to ensure the added overhead doesn't lead to performance or stability issues. This is particularly crucial in large clusters.

  Read the article

• New MySQL Cluster 7.3 Previews: Foreign Keys, NoSQL Node.js API and Auto-Tuned Clusters

  - by Mat Keep

  At this weeks MySQL Connect conference, Oracle previewed an exciting new wave of developments for MySQL Cluster, further extending its simplicity and flexibility by expanding the range of use-cases, adding new NoSQL options, and automating configuration. What’s new: Development Release 1: MySQL Cluster 7.3 with Foreign Keys Early Access “Labs” Preview: MySQL Cluster NoSQL API for Node.js Early Access “Labs” Preview: MySQL Cluster GUI-Based Auto-Installer In this blog, I'll introduce you to the features being previewed. Review the blogs listed below for more detail on each of the specific features discussed. Save the date!: A live webinar is scheduled for Thursday 25th October at 0900 Pacific Time / 1600UTC where we will discuss each of these enhancements in more detail. Registration will be open soon and published to the MySQL webinars page MySQL Cluster 7.3: Development Release 1 The first MySQL Cluster 7.3 Development Milestone Release (DMR) previews Foreign Keys, bringing powerful new functionality to MySQL Cluster while eliminating development complexity. Foreign Key support has been one of the most requested enhancements to MySQL Cluster – enabling users to simplify their data models and application logic – while extending the range of use-cases for both custom projects requiring referential integrity and packaged applications, such as eCommerce, CRM, CMS, etc. Implementation The Foreign Key functionality is implemented directly within the MySQL Cluster data nodes, allowing any client API accessing the cluster to benefit from them – whether they are SQL or one of the NoSQL interfaces (Memcached, C++, Java, JPA, HTTP/REST or the new Node.js API - discussed later.) The core referential actions defined in the SQL:2003 standard are implemented: CASCADE RESTRICT NO ACTION SET NULL In addition, the MySQL Cluster implementation supports the online adding and dropping of Foreign Keys, ensuring the Cluster continues to serve both read and write requests during the operation.  This represents a further enhancement to MySQL Cluster's support for on0line schema changes, ie adding and dropping indexes, adding columns, etc.  Read this blog for a demonstration of using Foreign Keys with MySQL Cluster.  Getting Started with MySQL Cluster 7.3 DMR1: Users can download either the source or binary and evaluate the MySQL Cluster 7.3 DMR with Foreign Keys now! (Select the Development Release tab). MySQL Cluster NoSQL API for Node.js Node.js is hot! In a little over 3 years, it has become one of the most popular environments for developing next generation web, cloud, mobile and social applications. Bringing JavaScript from the browser to the server, the design goal of Node.js is to build new real-time applications supporting millions of client connections, serviced by a single CPU core. Making it simple to further extend the flexibility and power of Node.js to the database layer, we are previewing the Node.js Javascript API for MySQL Cluster as an Early Access release, available for download now from http://labs.mysql.com/. Select the following build: MySQL-Cluster-NoSQL-Connector-for-Node-js Alternatively, you can clone the project at the MySQL GitHub page.  Implemented as a module for the V8 engine, the new API provides Node.js with a native, asynchronous JavaScript interface that can be used to both query and receive results sets directly from MySQL Cluster, without transformations to SQL. Figure 1: MySQL Cluster NoSQL API for Node.js enables end-to-end JavaScript development Rather than just presenting a simple interface to the database, the Node.js module integrates the MySQL Cluster native API library directly within the web application itself, enabling developers to seamlessly couple their high performance, distributed applications with a high performance, distributed, persistence layer delivering 99.999% availability. The new Node.js API joins a rich array of NoSQL interfaces available for MySQL Cluster. Whichever API is chosen for an application, SQL and NoSQL can be used concurrently across the same data set, providing the ultimate in developer flexibility.  Get started with MySQL Cluster NoSQL API for Node.js tutorial MySQL Cluster GUI-Based Auto-Installer Compatible with both MySQL Cluster 7.2 and 7.3, the Auto-Installer makes it simple for DevOps teams to quickly configure and provision highly optimized MySQL Cluster deployments – whether on-premise or in the cloud. Implemented with a standard HTML GUI and Python-based web server back-end, the Auto-Installer intelligently configures MySQL Cluster based on application requirements and auto-discovered hardware resources Figure 2: Automated Tuning and Configuration of MySQL Cluster Developed by the same engineering team responsible for the MySQL Cluster database, the installer provides standardized configurations that make it simple, quick and easy to build stable and high performance clustered environments. The auto-installer is previewed as an Early Access release, available for download now from http://labs.mysql.com/, by selecting the MySQL-Cluster-Auto-Installer build. You can read more about getting started with the MySQL Cluster auto-installer here. Watch the YouTube video for a demonstration of using the MySQL Cluster auto-installer Getting Started with MySQL Cluster If you are new to MySQL Cluster, the Getting Started guide will walk you through installing an evaluation cluster on a singe host (these guides reflect MySQL Cluster 7.2, but apply equally well to 7.3 and the Early Access previews). Or use the new MySQL Cluster Auto-Installer! Download the Guide to Scaling Web Databases with MySQL Cluster (to learn more about its architecture, design and ideal use-cases). Post any questions to the MySQL Cluster forum where our Engineering team and the MySQL Cluster community will attempt to assist you. Post any bugs you find to the MySQL bug tracking system (select MySQL Cluster from the Category drop-down menu) And if you have any feedback, please post them to the Comments section here or in the blogs referenced in this article. Summary MySQL Cluster 7.2 is the GA, production-ready release of MySQL Cluster. The first Development Release of MySQL Cluster 7.3 and the Early Access previews give you the opportunity to preview and evaluate future developments in the MySQL Cluster database, and we are very excited to be able to share that with you. Let us know how you get along with MySQL Cluster 7.3, and other features that you want to see in future releases, by using the comments of this blog.

  Read the article

• Introducing Dynamic Clusters in Oracle WebLogic Server 12.1.2 by Dave Cabelus

  - by JuergenKress

  You can watch the Dynamic Clustering video at the WebLogic YouTube channel. WebLogic Partner Community For regular information become a member in the WebLogic Partner Community please visit: http://www.oracle.com/partners/goto/wls-emea ( OPN account required). If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Wiki Technorati Tags: Dave Cabelus,WebLogic 12c cluster,WebLogic,WebLogic Community,Oracle,OPN,Jürgen Kress

  Read the article

• SPARC T5-4 LDoms for RAC and WebLogic Clusters

  - by Jeff Taylor-Oracle

  I wanted to use two Oracle SPARC T5-4 servers to simultaneously host both Oracle RAC and a WebLogic Server Cluster. I chose to use Oracle VM Server for SPARC to create a cluster like this: There are plenty of trade offs and decisions that need to be made, for example: Rather than configuring the system by hand, you might want to use an Oracle SuperCluster T5-8 My configuration is similar to jsavit's: Availability Best Practices - Example configuring a T5-8 but I chose to ignore some of the advice. Maybe I should have included an  alternate service domain, but I decided that I already had enough redundancy Both Oracle SPARC T5-4 servers were to be configured like this: Cntl 0.25  4  64GB                     App LDom                    2.75 CPU's                                        44 cores                                          704 GB              DB LDom      One CPU         16 cores         256 GB   The systems started with everything in the primary domain: # ldm list NAME             STATE      FLAGS   CONS    VCPU  MEMORY   UTIL  NORM  UPTIME primary          active     -n-c--  UART    512   1023G    0.0%  0.0%  11m # ldm list-spconfig factory-default [current] primary # ldm list -o core,memory,physio NAME              primary           CORE     CID    CPUSET     0      (0, 1, 2, 3, 4, 5, 6, 7)     1      (8, 9, 10, 11, 12, 13, 14, 15)     2      (16, 17, 18, 19, 20, 21, 22, 23) -- SNIP     62     (496, 497, 498, 499, 500, 501, 502, 503)     63     (504, 505, 506, 507, 508, 509, 510, 511) MEMORY     RA               PA               SIZE                 0x30000000       0x30000000       255G     0x80000000000    0x80000000000    256G     0x100000000000   0x100000000000   256G     0x180000000000   0x180000000000   256G # Give this memory block to the DB LDom IO     DEVICE                           PSEUDONYM        OPTIONS     pci@300                          pci_0                pci@340                          pci_1                pci@380                          pci_2                pci@3c0                          pci_3                pci@400                          pci_4                pci@440                          pci_5                pci@480                          pci_6                pci@4c0                          pci_7                pci@300/pci@1/pci@0/pci@6        /SYS/RCSA/PCIE1     pci@300/pci@1/pci@0/pci@c        /SYS/RCSA/PCIE2     pci@300/pci@1/pci@0/pci@4/pci@0/pci@c /SYS/MB/SASHBA0     pci@300/pci@1/pci@0/pci@4/pci@0/pci@8 /SYS/RIO/NET0        pci@340/pci@1/pci@0/pci@6        /SYS/RCSA/PCIE3     pci@340/pci@1/pci@0/pci@c        /SYS/RCSA/PCIE4     pci@380/pci@1/pci@0/pci@a        /SYS/RCSA/PCIE9     pci@380/pci@1/pci@0/pci@4        /SYS/RCSA/PCIE10     pci@3c0/pci@1/pci@0/pci@e        /SYS/RCSA/PCIE11     pci@3c0/pci@1/pci@0/pci@8        /SYS/RCSA/PCIE12     pci@400/pci@1/pci@0/pci@e        /SYS/RCSA/PCIE5     pci@400/pci@1/pci@0/pci@8        /SYS/RCSA/PCIE6     pci@440/pci@1/pci@0/pci@e        /SYS/RCSA/PCIE7     pci@440/pci@1/pci@0/pci@8        /SYS/RCSA/PCIE8     pci@480/pci@1/pci@0/pci@a        /SYS/RCSA/PCIE13     pci@480/pci@1/pci@0/pci@4        /SYS/RCSA/PCIE14     pci@4c0/pci@1/pci@0/pci@8        /SYS/RCSA/PCIE15     pci@4c0/pci@1/pci@0/pci@4        /SYS/RCSA/PCIE16     pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@c /SYS/MB/SASHBA1     pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@4 /SYS/RIO/NET2    Added an additional service processor configuration: # ldm add-spconfig split # ldm list-spconfig factory-default primary split [current] And removed many of the resources from the primary domain: # ldm start-reconf primary # ldm set-core 4 primary # ldm set-memory 32G primary # ldm rm-io pci@340 primary # ldm rm-io pci@380 primary # ldm rm-io pci@3c0 primary # ldm rm-io pci@400 primary # ldm rm-io pci@440 primary # ldm rm-io pci@480 primary # ldm rm-io pci@4c0 primary # init 6 Needed to add resources to the guest domains: # ldm add-domain db # ldm set-core cid=`seq -s"," 48 63` db # ldm add-memory mblock=0x180000000000:256G db # ldm add-io pci@480 db # ldm add-io pci@4c0 db # ldm add-domain app # ldm set-core 44 app # ldm set-memory 704G  app # ldm add-io pci@340 app # ldm add-io pci@380 app # ldm add-io pci@3c0 app # ldm add-io pci@400 app # ldm add-io pci@440 app Needed to set up services: # ldm add-vds primary-vds0 primary # ldm add-vcc port-range=5000-5100 primary-vcc0 primary Needed to add a virtual network port for the WebLogic application domain: # ipadm NAME              CLASS/TYPE STATE        UNDER      ADDR lo0               loopback   ok           --         --    lo0/v4         static     ok           --         ...    lo0/v6         static     ok           --         ... net0              ip         ok           --         ...    net0/v4        static     ok           --         xxx.xxx.xxx.xxx/24    net0/v6        addrconf   ok           --         ....    net0/v6        addrconf   ok           --         ... net8              ip         ok           --         --    net8/v4        static     ok           --         ... # dladm show-phys LINK              MEDIA                STATE      SPEED  DUPLEX    DEVICE net1              Ethernet             unknown    0      unknown   ixgbe1 net0              Ethernet             up         1000   full      ixgbe0 net8              Ethernet             up         10     full      usbecm2 # ldm add-vsw net-dev=net0 primary-vsw0 primary # ldm add-vnet vnet1 primary-vsw0 app Needed to add a virtual disk to the WebLogic application domain: # format Searching for disks...done AVAILABLE DISK SELECTIONS:        0. c0t5000CCA02505F874d0 <HITACHI-H106060SDSUN600G-A2B0-558.91GB>           /scsi_vhci/disk@g5000cca02505f874           /dev/chassis/SPARC_T5-4.AK00084038/SYS/SASBP0/HDD0/disk        1. c0t5000CCA02506C468d0 <HITACHI-H106060SDSUN600G-A2B0-558.91GB>           /scsi_vhci/disk@g5000cca02506c468           /dev/chassis/SPARC_T5-4.AK00084038/SYS/SASBP0/HDD1/disk        2. c0t5000CCA025067E5Cd0 <HITACHI-H106060SDSUN600G-A2B0-558.91GB>           /scsi_vhci/disk@g5000cca025067e5c           /dev/chassis/SPARC_T5-4.AK00084038/SYS/SASBP0/HDD2/disk        3. c0t5000CCA02506C258d0 <HITACHI-H106060SDSUN600G-A2B0-558.91GB>           /scsi_vhci/disk@g5000cca02506c258           /dev/chassis/SPARC_T5-4.AK00084038/SYS/SASBP0/HDD3/disk Specify disk (enter its number): ^C # ldm add-vdsdev /dev/dsk/c0t5000CCA02506C468d0s2 HDD1@primary-vds0 # ldm add-vdisk HDD1 HDD1@primary-vds0 app Add some additional spice to the pot: # ldm set-variable auto-boot\\?=false db # ldm set-variable auto-boot\\?=false app # ldm set-var boot-device=HDD1 app Bind the logical domains: # ldm bind db # ldm bind app At the end of the process, the system is set up like this: # ldm list -o core,memory,physio NAME             primary          CORE     CID    CPUSET     0      (0, 1, 2, 3, 4, 5, 6, 7)     1      (8, 9, 10, 11, 12, 13, 14, 15)     2      (16, 17, 18, 19, 20, 21, 22, 23)     3      (24, 25, 26, 27, 28, 29, 30, 31) MEMORY     RA               PA               SIZE                0x30000000       0x30000000       32G IO     DEVICE                           PSEUDONYM        OPTIONS     pci@300                          pci_0               pci@300/pci@1/pci@0/pci@6        /SYS/RCSA/PCIE1     pci@300/pci@1/pci@0/pci@c        /SYS/RCSA/PCIE2     pci@300/pci@1/pci@0/pci@4/pci@0/pci@c /SYS/MB/SASHBA0     pci@300/pci@1/pci@0/pci@4/pci@0/pci@8 /SYS/RIO/NET0   ------------------------------------------------------------------------------ NAME             app              CORE     CID    CPUSET     4      (32, 33, 34, 35, 36, 37, 38, 39)     5      (40, 41, 42, 43, 44, 45, 46, 47)     6      (48, 49, 50, 51, 52, 53, 54, 55)     7      (56, 57, 58, 59, 60, 61, 62, 63)     8      (64, 65, 66, 67, 68, 69, 70, 71)     9      (72, 73, 74, 75, 76, 77, 78, 79)     10     (80, 81, 82, 83, 84, 85, 86, 87)     11     (88, 89, 90, 91, 92, 93, 94, 95)     12     (96, 97, 98, 99, 100, 101, 102, 103)     13     (104, 105, 106, 107, 108, 109, 110, 111)     14     (112, 113, 114, 115, 116, 117, 118, 119)     15     (120, 121, 122, 123, 124, 125, 126, 127)     16     (128, 129, 130, 131, 132, 133, 134, 135)     17     (136, 137, 138, 139, 140, 141, 142, 143)     18     (144, 145, 146, 147, 148, 149, 150, 151)     19     (152, 153, 154, 155, 156, 157, 158, 159)     20     (160, 161, 162, 163, 164, 165, 166, 167)     21     (168, 169, 170, 171, 172, 173, 174, 175)     22     (176, 177, 178, 179, 180, 181, 182, 183)     23     (184, 185, 186, 187, 188, 189, 190, 191)     24     (192, 193, 194, 195, 196, 197, 198, 199)     25     (200, 201, 202, 203, 204, 205, 206, 207)     26     (208, 209, 210, 211, 212, 213, 214, 215)     27     (216, 217, 218, 219, 220, 221, 222, 223)     28     (224, 225, 226, 227, 228, 229, 230, 231)     29     (232, 233, 234, 235, 236, 237, 238, 239)     30     (240, 241, 242, 243, 244, 245, 246, 247)     31     (248, 249, 250, 251, 252, 253, 254, 255)     32     (256, 257, 258, 259, 260, 261, 262, 263)     33     (264, 265, 266, 267, 268, 269, 270, 271)     34     (272, 273, 274, 275, 276, 277, 278, 279)     35     (280, 281, 282, 283, 284, 285, 286, 287)     36     (288, 289, 290, 291, 292, 293, 294, 295)     37     (296, 297, 298, 299, 300, 301, 302, 303)     38     (304, 305, 306, 307, 308, 309, 310, 311)     39     (312, 313, 314, 315, 316, 317, 318, 319)     40     (320, 321, 322, 323, 324, 325, 326, 327)     41     (328, 329, 330, 331, 332, 333, 334, 335)     42     (336, 337, 338, 339, 340, 341, 342, 343)     43     (344, 345, 346, 347, 348, 349, 350, 351)     44     (352, 353, 354, 355, 356, 357, 358, 359)     45     (360, 361, 362, 363, 364, 365, 366, 367)     46     (368, 369, 370, 371, 372, 373, 374, 375)     47     (376, 377, 378, 379, 380, 381, 382, 383) MEMORY     RA               PA               SIZE                0x30000000       0x830000000      192G     0x4000000000     0x80000000000    256G     0x8080000000     0x100000000000   256G IO     DEVICE                           PSEUDONYM        OPTIONS     pci@340                          pci_1               pci@380                          pci_2               pci@3c0                          pci_3               pci@400                          pci_4               pci@440                          pci_5               pci@340/pci@1/pci@0/pci@6        /SYS/RCSA/PCIE3     pci@340/pci@1/pci@0/pci@c        /SYS/RCSA/PCIE4     pci@380/pci@1/pci@0/pci@a        /SYS/RCSA/PCIE9     pci@380/pci@1/pci@0/pci@4        /SYS/RCSA/PCIE10     pci@3c0/pci@1/pci@0/pci@e        /SYS/RCSA/PCIE11     pci@3c0/pci@1/pci@0/pci@8        /SYS/RCSA/PCIE12     pci@400/pci@1/pci@0/pci@e        /SYS/RCSA/PCIE5     pci@400/pci@1/pci@0/pci@8        /SYS/RCSA/PCIE6     pci@440/pci@1/pci@0/pci@e        /SYS/RCSA/PCIE7     pci@440/pci@1/pci@0/pci@8        /SYS/RCSA/PCIE8 ------------------------------------------------------------------------------ NAME             db               CORE     CID    CPUSET     48     (384, 385, 386, 387, 388, 389, 390, 391)     49     (392, 393, 394, 395, 396, 397, 398, 399)     50     (400, 401, 402, 403, 404, 405, 406, 407)     51     (408, 409, 410, 411, 412, 413, 414, 415)     52     (416, 417, 418, 419, 420, 421, 422, 423)     53     (424, 425, 426, 427, 428, 429, 430, 431)     54     (432, 433, 434, 435, 436, 437, 438, 439)     55     (440, 441, 442, 443, 444, 445, 446, 447)     56     (448, 449, 450, 451, 452, 453, 454, 455)     57     (456, 457, 458, 459, 460, 461, 462, 463)     58     (464, 465, 466, 467, 468, 469, 470, 471)     59     (472, 473, 474, 475, 476, 477, 478, 479)     60     (480, 481, 482, 483, 484, 485, 486, 487)     61     (488, 489, 490, 491, 492, 493, 494, 495)     62     (496, 497, 498, 499, 500, 501, 502, 503)     63     (504, 505, 506, 507, 508, 509, 510, 511) MEMORY     RA               PA               SIZE                0x80000000       0x180000000000   256G IO     DEVICE                           PSEUDONYM        OPTIONS     pci@480                          pci_6               pci@4c0                          pci_7               pci@480/pci@1/pci@0/pci@a        /SYS/RCSA/PCIE13     pci@480/pci@1/pci@0/pci@4        /SYS/RCSA/PCIE14     pci@4c0/pci@1/pci@0/pci@8        /SYS/RCSA/PCIE15     pci@4c0/pci@1/pci@0/pci@4        /SYS/RCSA/PCIE16     pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@c /SYS/MB/SASHBA1     pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@4 /SYS/RIO/NET2   Start the domains: # ldm start app LDom app started # ldm start db LDom db started Make sure to start the vntsd service that was created, above. # svcs -a | grep ldo disabled        8:38:38 svc:/ldoms/vntsd:default online          8:38:58 svc:/ldoms/agents:default online          8:39:25 svc:/ldoms/ldmd:default # svcadm enable vntsd Now use the MAC address to configure the Solaris 11 Automated Installation. Database Logical Domain # telnet localhost 5000 {0} ok devalias screen                   /pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@7/display@0 disk7                    /pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@c/scsi@0/disk@p3 disk6                    /pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@c/scsi@0/disk@p2 disk5                    /pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@c/scsi@0/disk@p1 disk4                    /pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@c/scsi@0/disk@p0 scsi1                    /pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@c/scsi@0 net3                     /pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@4/network@0,1 net2                     /pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@4/network@0 virtual-console          /virtual-devices/console@1 name                     aliases {0} ok boot net2 Boot device: /pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@4/network@0  File and args: 1000 Mbps full duplex Link up Requesting Internet Address for xx:xx:xx:xx:xx:xx Requesting Internet Address for xx:xx:xx:xx:xx:xx WLS Logical Domain # telnet localhost 5001 {0} ok devalias hdd1                     /virtual-devices@100/channel-devices@200/disk@0 vnet1                    /virtual-devices@100/channel-devices@200/network@0 net                      /virtual-devices@100/channel-devices@200/network@0 disk                     /virtual-devices@100/channel-devices@200/disk@0 virtual-console          /virtual-devices/console@1 name                     aliases {0} ok boot net Boot device: /virtual-devices@100/channel-devices@200/network@0  File and args: Requesting Internet Address for xx:xx:xx:xx:xx:xx Requesting Internet Address for xx:xx:xx:xx:xx:xx Repeat the process for the second SPARC T5-4, install Solaris, RAC and WebLogic Cluster, and you are ready to go. Maybe buying a SuperCluster would have been easier.

  Read the article

• EMC Clusters Data Domain Deduplication Appliances

  EMC has taken its first step toward global deduplication with the dual-controller Global Deduplication Array.

  Read the article

• Tool to Save a Range of Disk Clusters to a File

  - by Synetech inc.

  Hi, Yesterday I deleted a (fragmented) archive file only to find that it did not extract correctly, so I was left stranded. Fortunately there was not much space free on the drive, so most of the space marked as free was from the now-deleted archive. I pulled up a disk editor and—painfully—managed to get a list of cluster ranges from the FAT that were marked as unused. My task then was to save these ranges of clusters to files so that I could examine them to try to determine which parts were from the archive and recombine them to attempt to restore the deleted file. This turned out to be a huge pain in the butt because the disk editor did not have the ability to select a range of clusters, so I had to navigate to the start of each cluster and hold down Ctrl+Shift+PgDn until I reached the end of the range (which usually took forever!) I did a quick Google search to see if I could find a command-line tool (preferably with Windows and DOS versions) that would allow me to issue a commands such as: SAVESECT -c 0xBEEF 0xCAFE FOO.BAR ::save clusters 0xBEEF-0xCAFE to FOO.BAR SAVESECT -s 1111 9876 BAZ.BIN ::save sectors 1111-9876 to BAZ.BIN Sadly my search came up empty. Any ideas? Thanks!

  Read the article

• chkdsk, SeaTools, and "does not have enough space to replace bad clusters"

  - by Zian Choy

  When I tried to do a Windows Vista Complete PC Backup, I received an error message that blathered about bad sectors. Then, when I ran chkdsk /r on the destination drive, this is what I got: C:\Windows\system32>chkdsk /R E: The type of the file system is NTFS. Volume label is Desktop Backup. CHKDSK is verifying files (stage 1 of 5)... 822016 file records processed. File verification completed. 1 large file records processed. 0 bad file records processed. 0 EA records processed. 0 reparse records processed. CHKDSK is verifying indexes (stage 2 of 5)... 848938 index entries processed. Index verification completed. 0 unindexed files processed. CHKDSK is verifying security descriptors (stage 3 of 5)... 822016 security descriptors processed. Security descriptor verification completed. 13461 data files processed. CHKDSK is verifying file data (stage 4 of 5)... The disk does not have enough space to replace bad clusters detected in file 239649 of name . The disk does not have enough space to replace bad clusters detected in file 239650 of name . The disk does not have enough space to replace bad clusters detected in file 239651 of name . An unspecified error occurred.f 822000 files processed) Yet, when I ran the SeaTools short & long generic tests on the Seagate disk, I didn't receive any errors. I know that I could reformat the disk and try running chkdsk /r again but I'd prefer to avoid waiting 4 hours in the hope that the problem was magically fixed. On the other hand, if I RmA the drive to Seagate, I have no SeaTools error number to use and they may claim that the drive is just fine. What should I try to do next? Side frustration: There is plenty of free hard drive space. The E: partition has 182 GB free.

  Read the article

• Multiple Active Nodes in Server Clusters

  - by blog

  What does multiple active nodes mean in the context of Server Clusters using MS Windows Server 2003 or later versions?

  Read the article

• OpenCV's cvKMeans2 - chosing clusters

  - by Goffrey

  Hi, I'm using cvKMeans2 for clustering, but I'm not sure, how it works in general - the part of choosing clusters. I thought that it set the first positions of clusters from given samples. So it means that in the end of clustering process would every cluster has at least one sample - in the output array of cluster labels will be full range of numbers (for 100 clusters - numbers 0 to 99). But as I checked output labels, I realised that some labels weren't used at all and only some were used. So, does anyone know, how it works? Or how should I use the parameters of cvKMeans2 to do what I want (cause I'm not sure if I use them right)? I'm using cvKMeans2 function also with optional parameters: cvKMeans2(descriptorMat, N_CLUSTERS, clusterLabels, cvTermCriteria( CV_TERMCRIT_EPS+CV_TERMCRIT_ITER, 10, 1.0), 1, 0, 0, clusterCenters, 0) Thanks for any advices!

  Read the article

• Problem drawing a polygon on data clusters in MATLAB

  - by Hossein

  Hi, I have some data points which I have devided into them into some clusters with some clustering algorithms as the picture below:(it might takes some time for the image to appear) Each color represents different cluster. I have to draw polygons around each cluster. I use convhull for this reason. But as you can see the polygon for the red cluster is very big and covers a lot of areas, which is not the one I am looking for. I need to draw lines(ploygons) exactly around my data sets. For example in the picture above I want a polygon that is drawn exactly the same(and around) as the red cluster with the 3 branches. In other words, in this case I need a polygon with 3 branches to cover my red clusters not that big polygon that covers the whole area. Can anyone help me with this? Please Note that the solution should be general, because the clusters will change in each run of the algorithm, so it needs to be in a way that is general.

  Read the article

• What Hypervisors support non-homogenous clusters?

  - by edude05

  I've been using Citrx Xenserver for awhile on a few machines that don't support Hardware Virtualization as a test for various small servers. I recently have been experimenting with moving the PV Vms between machines but Xenserver gives me errors that roughly say I need to have homogenous hardware for this to work. Because of this I haven't been able to setup XenMotion or any of the nice features that come with server pooling in Xenserver. I'm considering moving away from XenServer, however I can't seem to find a Hypervisor that explicitly supports non-homogenous clusters. On a side note, we do have a few idenitally configured Dell 1950s that haven't had any VM solution setup on yet, so if we can find a solution that can allow us to move PVs to those as well that would be great. Non free solutions are OK as well. What hypervisor will allow this? Thanks!

  Read the article

• unreadable corrupted ntfs partition - lost clusters reported

  - by Eduardo Martinez

  partition magic is reporting multiple 'bad file record signature' and 'lost clusters' errors on my 250GB samsung sata disk (connected via usb on a xp sp3). Unfortunately PM is unable to fix. PM shows the drive as being NTFS, detects used space ok and also drive name. But PM browser (right click on partition, browse...) won't show anything (as if disk was empty) Windows Explorer is not even picking the drive name and reports 'the file or directory is corrupted and unreadable' PTDD partition table doctor demo tells me the boot sector is fine, and I can see all disk content on its browser - but crucially cannot copy that content over to a new disk (PTDD browser is pretty arid to say the least) Also tried - photorec-6.11.3 - it actually started to extract files but wouldn't keep file names or any folder structure (maybe I missed sth on the configuration options) - find and mount - intellectual scan went well, the only partition on the disk was detected, then tried to mount into p: but got this error on windows explorer: 'p:\ is not accesible. The media is write protected'. Find and mount allows you to create an image from partition but I don't have a disk big enough at hand. Does anyone know if this will keep the extracted files/folders structure intact? I'm starting to think the disk is pretty screwed and my chances to recover this data are slim. Please someone enlighten me with that marvellous piece of software I am missing :-) Thanks in advance

  Read the article

• unreadable corrupted ntfs partition - lost clusters reported

  - by Eduardo Martinez

  Hi, partition magic is reporting multiple 'bad file record signature' and 'lost clusters' errors on my 250GB samsung sata disk (connected via usb on a xp sp3). Unfortunately PM is unable to fix. PM shows the drive as being NTFS, detects used space ok and also drive name. But PM browser (right click on partition, browse...) won't show anything (as if disk was empty) Windows Explorer is not even picking the drive name and reports 'the file or directory is corrupted and unreadable' PTDD partition table doctor demo tells me the boot sector is fine, and I can see all disk content on its browser - but crucially cannot copy that content over to a new disk (PTDD browser is pretty arid to say the least) Also tried - photorec-6.11.3 - it actually started to extract files but wouldn't keep file names or any folder structure (maybe I missed sth on the configuration options) - find and mount - intellectual scan went well, the only partition on the disk was detected, then tried to mount into p: but got this error on windows explorer: 'p:\ is not accesible. The media is write protected'. Find and mount allows you to create an image from partition but I don't have a disk big enough at hand. Does anyone know if this will keep the extracted files/folders structure intact? I'm starting to think the disk is pretty screwed and my chances to recover this data are slim. Please someone enlighten me with that marvellous piece of software I am missing :-) Thanks in advance

  Read the article

• Large concurrent user performance issues for Apache + mod_jk + GlassFish v3.1 clusters

  - by user10035

  I am running a java ee 6 ear application on a GlassFish v3.1 ( 2 clusters with 2 instances each) load balanced by an Apache v2.2 with mod_jk - all on the same server (Windows Server 2003 R2, Intel Xeon CPU x5670 @2.93Ghz, 6GB RAM, 2 cpus). The web application is accessed by around ~100 users. When they all try to access it at the same time every morning ~8am, the response is very slow while trying to access the main jsf home page. Apart from that I have seen the CPU usage spike upto 99% by the httpd process during the day frequently and I start seeing errors in the mod_jk.log file. [Wed Jun 08 08:25:43 2011] [9380:8216] [info] ajp_process_callback::jk_ajp_common.c (1885): Writing to client aborted or client network problems [Wed Jun 08 08:25:43 2011] [9380:8216] [info] ajp_service::jk_ajp_common.c (2543): (myAppLocalInstance4) sending request to tomcat failed (unrecoverable), because of client write error (attempt=1) Any suggestions on how I can go about improving this? Apache configuration is mostly the default as shown below ServerRoot "C:/Program Files/Apache Software Foundation/Apache2.2" Listen 80 LoadModule actions_module modules/mod_actions.so LoadModule alias_module modules/mod_alias.so LoadModule asis_module modules/mod_asis.so LoadModule auth_basic_module modules/mod_auth_basic.so LoadModule authn_default_module modules/mod_authn_default.so LoadModule authn_file_module modules/mod_authn_file.so LoadModule authz_default_module modules/mod_authz_default.so LoadModule authz_groupfile_module modules/mod_authz_groupfile.so LoadModule authz_host_module modules/mod_authz_host.so LoadModule authz_user_module modules/mod_authz_user.so LoadModule autoindex_module modules/mod_autoindex.so LoadModule cgi_module modules/mod_cgi.so LoadModule dir_module modules/mod_dir.so LoadModule env_module modules/mod_env.so LoadModule include_module modules/mod_include.so LoadModule isapi_module modules/mod_isapi.so LoadModule log_config_module modules/mod_log_config.so LoadModule mime_module modules/mod_mime.so LoadModule negotiation_module modules/mod_negotiation.so LoadModule setenvif_module modules/mod_setenvif.so <IfModule !mpm_netware_module> <IfModule !mpm_winnt_module> User daemon Group daemon </IfModule> </IfModule> DocumentRoot "C:/Program Files/Apache Software Foundation/Apache2.2/htdocs" <Directory /> Options FollowSymLinks AllowOverride None Order deny,allow Deny from all </Directory> <Directory "C:/Program Files/Apache Software Foundation/Apache2.2/htdocs"> Options Indexes FollowSymLinks AllowOverride None Order allow,deny Allow from all </Directory> <IfModule dir_module> DirectoryIndex index.html </IfModule> <FilesMatch "^\.ht"> Order allow,deny Deny from all Satisfy All </FilesMatch> ErrorLog "logs/error.log" LogLevel warn <IfModule log_config_module> LogFormat "%h %l %u %t \"%r\" %>s %b \"%{Referer}i\" \"%{User-Agent}i\"" combined LogFormat "%h %l %u %t \"%r\" %>s %b" common <IfModule logio_module> LogFormat "%h %l %u %t \"%r\" %>s %b \"%{Referer}i\" \"%{User-Agent}i\" %I %O" combinedio </IfModule> CustomLog "logs/access.log" common </IfModule> <IfModule alias_module> ScriptAlias /cgi-bin/ "C:/Program Files/Apache Software Foundation/Apache2.2/cgi-bin/" </IfModule> <Directory "C:/Program Files/Apache Software Foundation/Apache2.2/cgi-bin"> AllowOverride None Options None Order allow,deny Allow from all </Directory> DefaultType text/plain <IfModule mime_module> TypesConfig conf/mime.types AddType application/x-compress .Z AddType application/x-gzip .gz .tgz </IfModule> Include conf/extra/httpd-mpm.conf <IfModule ssl_module> SSLRandomSeed startup builtin SSLRandomSeed connect builtin </IfModule> LoadModule jk_module modules/mod_jk.so JkWorkersFile conf/workers.properties JkLogFile logs/mod_jk.log JkLogLevel info JkLogStampFormat "[%a %b %d %H:%M:%S %Y] " JkOptions +ForwardKeySize +ForwardURICompat -ForwardDirectories JkRequestLogFormat "%w %V %T" JkMount /myApp/* loadbalancerLocal JkMount /myAppRemote/* loadbalancerRemote JkMount /myApp loadbalancerLocal JkMount /myAppRemote loadbalancerRemote The workers.properties config file is: worker.list=loadbalancerLocal,loadbalancerRemote worker.myAppLocalInstance1.type=ajp13 worker.myAppLocalInstance1.host=localhost worker.myAppLocalInstance1.port=8109 worker.myAppLocalInstance1.lbfactor=1 worker.myAppLocalInstance1.socket_keepalive=1 worker.myAppLocalInstance1.socket_timeout=1000 worker.myAppLocalInstance2.type=ajp13 worker.myAppLocalInstance2.host=localhost worker.myAppLocalInstance2.port=8209 worker.myAppLocalInstance2.lbfactor=1 worker.myAppLocalInstance2.socket_keepalive=1 worker.myAppLocalInstance2.socket_timeout=1000 worker.myAppLocalInstance3.type=ajp13 worker.myAppLocalInstance3.host=localhost worker.myAppLocalInstance3.port=8309 worker.myAppLocalInstance3.lbfactor=1 worker.myAppLocalInstance3.socket_keepalive=1 worker.myAppLocalInstance3.socket_timeout=1000 worker.myAppLocalInstance4.type=ajp13 worker.myAppLocalInstance4.host=localhost worker.myAppLocalInstance4.port=8409 worker.myAppLocalInstance4.lbfactor=1 worker.myAppLocalInstance4.socket_keepalive=1 worker.myAppLocalInstance4.socket_timeout=1000 worker.myAppRemoteInstance1.type=ajp13 worker.myAppRemoteInstance1.host=localhost worker.myAppRemoteInstance1.port=8509 worker.myAppRemoteInstance1.lbfactor=1 worker.myAppRemoteInstance1.socket_keepalive=1 worker.myAppRemoteInstance1.socket_timeout=1000 worker.myAppRemoteInstance2.type=ajp13 worker.myAppRemoteInstance2.host=localhost worker.myAppRemoteInstance2.port=8609 worker.myAppRemoteInstance2.lbfactor=1 worker.myAppRemoteInstance2.socket_keepalive=1 worker.myAppRemoteInstance2.socket_timeout=1000 worker.myAppRemoteInstance3.type=ajp13 worker.myAppRemoteInstance3.host=localhost worker.myAppRemoteInstance3.port=8709 worker.myAppRemoteInstance3.lbfactor=1 worker.myAppRemoteInstance3.socket_keepalive=1 worker.myAppRemoteInstance3.socket_timeout=1000 worker.myAppRemoteInstance4.type=ajp13 worker.myAppRemoteInstance4.host=localhost worker.myAppRemoteInstance4.port=8809 worker.myAppRemoteInstance4.lbfactor=1 worker.myAppRemoteInstance4.socket_keepalive=1 worker.myAppRemoteInstance4.socket_timeout=1000 worker.loadbalancerLocal.type=lb worker.loadbalancerLocal.sticky_session=True worker.loadbalancerLocal.balance_workers=myAppLocalInstance1,myAppLocalInstance2,myAppLocalInstance3,myAppLocalInstance4 worker.loadbalancerRemote.type=lb worker.loadbalancerRemote.balance_workers=myAppRemoteInstance1,myAppRemoteInstance2,myAppRemoteInstance3,myAppRemoteInstance4 worker.loadbalancerRemote.sticky_session=True

  Read the article

• Hard disk with bad clusters

  - by Dan

  I have been trying to backup some files up to DVD recently, and the burn process failed saying the CRC check failed for certain files. I then tried to browse to these files in Windows explorer and my whole machine locks up and I have to reboot. I ran check disk without the '/F /R' arguments and it told me I had bad sectors. So I re-ran it with the arguments and check disk fails during the 'Chkdsk is verifying usn journal' stage with this error: Insufficient disk space to fix the usn journal $j data stream The hard disk is a 300GB Partition on a 400GB Disk, and there is 160GBs of free space on the partition. My os (Windows 7) is installed on the other partition and is running fine. Any idea how I fix this? or repair it enough to copy my files off it?

  Read the article

• Run a script prior to start of SQL instance via Windows clusters

  - by Shahryar G. Hashemi

  Hi, We have a Windows 2008 cluster with several SQL 2008 instance. We would like to run a script that modifies 4 registry keys prior to the startup of SQL. I do not know if there is a way to have a script run through Windows 2008 clustering that does that. I have a VBS script to do it and tried to add a Generic Script to an existing cluster group, but it failed saying it could not be registered. Any ideas?

  Read the article

• sectors and clusters

  - by Phenom

  Are the sectors in a cluster all next to each other?

  Read the article

1 2 3 4 5 6 7 8 9 10 11 12  | Next Page >