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  • 3-4 old computers = general purpose cluster?

    - by TheLQ
    I have 3 old computers lying around right now running a P2 at 800 MHz(?), Intel Mobile 1.6 GHz, AMD Athlon XP 2000+ at 1.66 GHz, and (might not use this) P4 at 2.7 GHz, all with 512 MB Ram, and am considering clustering them together for fun/knowledge. They would be running an undecided version of linux, preferably ubuntu based. The issue is what I want to use it for: general computing and occasional video encoding. By general computing I mean day to day tasks. However I'm not sure if every program started by a single X session is going to exist on the same machine, defeating the purpose of such a system. Will programs be split up or exist on one machine? Second, assuming this is running 100baseT ethernet (not sure if the PCI slot itself could handle Gigabit), would the speed of having a program exist over the network be an issue? It seems that the constant asking of various things in RAM would be quite slow. And before you say "buy another computer!", that's not the point of this question. I'm asking would it be usable, not necessarily practical. And yes I know, this is going to be extreamly power consuming.

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  • SQL Monitor’s data repository: Alerts

    - by Chris Lambrou
    In my previous post, I introduced the SQL Monitor data repository, and described how the monitored objects are stored in a hierarchy in the data schema, in a series of tables with a _Keys suffix. In this post I had planned to describe how the actual data for the monitored objects is stored in corresponding tables with _StableSamples and _UnstableSamples suffixes. However, I’m going to postpone that until my next post, as I’ve had a request from a SQL Monitor user to explain how alerts are stored. In the SQL Monitor data repository, alerts are stored in tables belonging to the alert schema, which contains the following five tables: alert.Alert alert.Alert_Cleared alert.Alert_Comment alert.Alert_Severity alert.Alert_Type In this post, I’m only going to cover the alert.Alert and alert.Alert_Type tables. I may cover the other three tables in a later post. The most important table in this schema is alert.Alert, as each row in this table corresponds to a single alert. So let’s have a look at it. SELECT TOP 100 AlertId, AlertType, TargetObject, [Read], SubType FROM alert.Alert ORDER BY AlertId DESC;  AlertIdAlertTypeTargetObjectReadSubType 165550397:Cluster,1,4:Name,s29:srp-mr03.testnet.red-gate.com,9:SqlServer,1,4:Name,s0:,10 265549387:Cluster,1,4:Name,s29:srp-mr03.testnet.red-gate.com,7:Machine,1,4:Name,s0:,10 365548187:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s15:FavouriteThings,00 465547157:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s15:FavouriteThings,00 565546147:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s15:FavouriteThings,00 665545187:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s14:SqlMonitorData,00 765544157:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s14:SqlMonitorData,00 865543147:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s14:SqlMonitorData,00 965542187:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s4:msdb,00 1065541147:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s4:msdb,00 11…     So what are we seeing here, then? Well, AlertId is an auto-incrementing identity column, so ORDER BY AlertId DESC ensures that we see the most recent alerts first. AlertType indicates the type of each alert, such as Job failed (6), Backup overdue (14) or Long-running query (12). The TargetObject column indicates which monitored object the alert is associated with. The Read column acts as a flag to indicate whether or not the alert has been read. And finally the SubType column is used in the case of a Custom metric (40) alert, to indicate which custom metric the alert pertains to. Okay, now lets look at some of those columns in more detail. The AlertType column is an easy one to start with, and it brings use nicely to the next table, data.Alert_Type. Let’s have a look at what’s in this table: SELECT AlertType, Event, Monitoring, Name, Description FROM alert.Alert_Type ORDER BY AlertType;  AlertTypeEventMonitoringNameDescription 1100Processor utilizationProcessor utilization (CPU) on a host machine stays above a threshold percentage for longer than a specified duration 2210SQL Server error log entryAn error is written to the SQL Server error log with a severity level above a specified value. 3310Cluster failoverThe active cluster node fails, causing the SQL Server instance to switch nodes. 4410DeadlockSQL deadlock occurs. 5500Processor under-utilizationProcessor utilization (CPU) on a host machine remains below a threshold percentage for longer than a specified duration 6610Job failedA job does not complete successfully (the job returns an error code). 7700Machine unreachableHost machine (Windows server) cannot be contacted on the network. 8800SQL Server instance unreachableThe SQL Server instance is not running or cannot be contacted on the network. 9900Disk spaceDisk space used on a logical disk drive is above a defined threshold for longer than a specified duration. 101000Physical memoryPhysical memory (RAM) used on the host machine stays above a threshold percentage for longer than a specified duration. 111100Blocked processSQL process is blocked for longer than a specified duration. 121200Long-running queryA SQL query runs for longer than a specified duration. 131400Backup overdueNo full backup exists, or the last full backup is older than a specified time. 141500Log backup overdueNo log backup exists, or the last log backup is older than a specified time. 151600Database unavailableDatabase changes from Online to any other state. 161700Page verificationTorn Page Detection or Page Checksum is not enabled for a database. 171800Integrity check overdueNo entry for an integrity check (DBCC DBINFO returns no date for dbi_dbccLastKnownGood field), or the last check is older than a specified time. 181900Fragmented indexesFragmentation level of one or more indexes is above a threshold percentage. 192400Job duration unusualThe duration of a SQL job duration deviates from its baseline duration by more than a threshold percentage. 202501Clock skewSystem clock time on the Base Monitor computer differs from the system clock time on a monitored SQL Server host machine by a specified number of seconds. 212700SQL Server Agent Service statusThe SQL Server Agent Service status matches the status specified. 222800SQL Server Reporting Service statusThe SQL Server Reporting Service status matches the status specified. 232900SQL Server Full Text Search Service statusThe SQL Server Full Text Search Service status matches the status specified. 243000SQL Server Analysis Service statusThe SQL Server Analysis Service status matches the status specified. 253100SQL Server Integration Service statusThe SQL Server Integration Service status matches the status specified. 263300SQL Server Browser Service statusThe SQL Server Browser Service status matches the status specified. 273400SQL Server VSS Writer Service statusThe SQL Server VSS Writer status matches the status specified. 283501Deadlock trace flag disabledThe monitored SQL Server’s trace flag cannot be enabled. 293600Monitoring stopped (host machine credentials)SQL Monitor cannot contact the host machine because authentication failed. 303700Monitoring stopped (SQL Server credentials)SQL Monitor cannot contact the SQL Server instance because authentication failed. 313800Monitoring error (host machine data collection)SQL Monitor cannot collect data from the host machine. 323900Monitoring error (SQL Server data collection)SQL Monitor cannot collect data from the SQL Server instance. 334000Custom metricThe custom metric value has passed an alert threshold. 344100Custom metric collection errorSQL Monitor cannot collect custom metric data from the target object. Basically, alert.Alert_Type is just a big reference table containing information about the 34 different alert types supported by SQL Monitor (note that the largest id is 41, not 34 – some alert types have been retired since SQL Monitor was first developed). The Name and Description columns are self evident, and I’m going to skip over the Event and Monitoring columns as they’re not very interesting. The AlertId column is the primary key, and is referenced by AlertId in the alert.Alert table. As such, we can rewrite our earlier query to join these two tables, in order to provide a more readable view of the alerts: SELECT TOP 100 AlertId, Name, TargetObject, [Read], SubType FROM alert.Alert a JOIN alert.Alert_Type at ON a.AlertType = at.AlertType ORDER BY AlertId DESC;  AlertIdNameTargetObjectReadSubType 165550Monitoring error (SQL Server data collection)7:Cluster,1,4:Name,s29:srp-mr03.testnet.red-gate.com,9:SqlServer,1,4:Name,s0:,00 265549Monitoring error (host machine data collection)7:Cluster,1,4:Name,s29:srp-mr03.testnet.red-gate.com,7:Machine,1,4:Name,s0:,00 365548Integrity check overdue7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s15:FavouriteThings,00 465547Log backup overdue7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s15:FavouriteThings,00 565546Backup overdue7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s15:FavouriteThings,00 665545Integrity check overdue7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s14:SqlMonitorData,00 765544Log backup overdue7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s14:SqlMonitorData,00 865543Backup overdue7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s14:SqlMonitorData,00 965542Integrity check overdue7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s4:msdb,00 1065541Backup overdue7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s4:msdb,00 Okay, the next column to discuss in the alert.Alert table is TargetObject. Oh boy, this one’s a bit tricky! The TargetObject of an alert is a serialized string representation of the position in the monitored object hierarchy of the object to which the alert pertains. The serialization format is somewhat convenient for parsing in the C# source code of SQL Monitor, and has some helpful characteristics, but it’s probably very awkward to manipulate in T-SQL. I could document the serialization format here, but it would be very dry reading, so perhaps it’s best to consider an example from the table above. Have a look at the alert with an AlertID of 65543. It’s a Backup overdue alert for the SqlMonitorData database running on the default instance of granger, my laptop. Each different alert type is associated with a specific type of monitored object in the object hierarchy (I described the hierarchy in my previous post). The Backup overdue alert is associated with databases, whose position in the object hierarchy is root → Cluster → SqlServer → Database. The TargetObject value identifies the target object by specifying the key properties at each level in the hierarchy, thus: Cluster: Name = "granger" SqlServer: Name = "" (an empty string, denoting the default instance) Database: Name = "SqlMonitorData" Well, look at the actual TargetObject value for this alert: "7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s14:SqlMonitorData,". It is indeed composed of three parts, one for each level in the hierarchy: Cluster: "7:Cluster,1,4:Name,s7:granger," SqlServer: "9:SqlServer,1,4:Name,s0:," Database: "8:Database,1,4:Name,s14:SqlMonitorData," Each part is handled in exactly the same way, so let’s concentrate on the first part, "7:Cluster,1,4:Name,s7:granger,". It comprises the following: "7:Cluster," – This identifies the level in the hierarchy. "1," – This indicates how many different key properties there are to uniquely identify a cluster (we saw in my last post that each cluster is identified by a single property, its Name). "4:Name,s14:SqlMonitorData," – This represents the Name property, and its corresponding value, SqlMonitorData. It’s split up like this: "4:Name," – Indicates the name of the key property. "s" – Indicates the type of the key property, in this case, it’s a string. "14:SqlMonitorData," – Indicates the value of the property. At this point, you might be wondering about the format of some of these strings. Why is the string "Cluster" stored as "7:Cluster,"? Well an encoding scheme is used, which consists of the following: "7" – This is the length of the string "Cluster" ":" – This is a delimiter between the length of the string and the actual string’s contents. "Cluster" – This is the string itself. 7 characters. "," – This is a final terminating character that indicates the end of the encoded string. You can see that "4:Name,", "8:Database," and "14:SqlMonitorData," also conform to the same encoding scheme. In the example above, the "s" character is used to indicate that the value of the Name property is a string. If you explore the TargetObject property of alerts in your own SQL Monitor data repository, you might find other characters used for other non-string key property values. The different value types you might possibly encounter are as follows: "I" – Denotes a bigint value. For example, "I65432,". "g" – Denotes a GUID value. For example, "g32116732-63ae-4ab5-bd34-7dfdfb084c18,". "d" – Denotes a datetime value. For example, "d634815384796832438,". The value is stored as a bigint, rather than a native SQL datetime value. I’ll describe how datetime values are handled in the SQL Monitor data repostory in a future post. I suggest you have a look at the alerts in your own SQL Monitor data repository for further examples, so you can see how the TargetObject values are composed for each of the different types of alert. Let me give one further example, though, that represents a Custom metric alert, as this will help in describing the final column of interest in the alert.Alert table, SubType. Let me show you the alert I’m interested in: SELECT AlertId, a.AlertType, Name, TargetObject, [Read], SubType FROM alert.Alert a JOIN alert.Alert_Type at ON a.AlertType = at.AlertType WHERE AlertId = 65769;  AlertIdAlertTypeNameTargetObjectReadSubType 16576940Custom metric7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s6:master,12:CustomMetric,1,8:MetricId,I2,02 An AlertType value of 40 corresponds to the Custom metric alert type. The Name taken from the alert.Alert_Type table is simply Custom metric, but this doesn’t tell us anything about the specific custom metric that this alert pertains to. That’s where the SubType value comes in. For custom metric alerts, this provides us with the Id of the specific custom alert definition that can be found in the settings.CustomAlertDefinitions table. I don’t really want to delve into custom alert definitions yet (maybe in a later post), but an extra join in the previous query shows us that this alert pertains to the CPU pressure (avg runnable task count) custom metric alert. SELECT AlertId, a.AlertType, at.Name, cad.Name AS CustomAlertName, TargetObject, [Read], SubType FROM alert.Alert a JOIN alert.Alert_Type at ON a.AlertType = at.AlertType JOIN settings.CustomAlertDefinitions cad ON a.SubType = cad.Id WHERE AlertId = 65769;  AlertIdAlertTypeNameCustomAlertNameTargetObjectReadSubType 16576940Custom metricCPU pressure (avg runnable task count)7:Cluster,1,4:Name,s7:granger,9:SqlServer,1,4:Name,s0:,8:Database,1,4:Name,s6:master,12:CustomMetric,1,8:MetricId,I2,02 The TargetObject value in this case breaks down like this: "7:Cluster,1,4:Name,s7:granger," – Cluster named "granger". "9:SqlServer,1,4:Name,s0:," – SqlServer named "" (the default instance). "8:Database,1,4:Name,s6:master," – Database named "master". "12:CustomMetric,1,8:MetricId,I2," – Custom metric with an Id of 2. Note that the hierarchy for a custom metric is slightly different compared to the earlier Backup overdue alert. It’s root → Cluster → SqlServer → Database → CustomMetric. Also notice that, unlike Cluster, SqlServer and Database, the key property for CustomMetric is called MetricId (not Name), and the value is a bigint (not a string). Finally, delving into the custom metric tables is beyond the scope of this post, but for the sake of avoiding any future confusion, I’d like to point out that whilst the SubType references a custom alert definition, the MetricID value embedded in the TargetObject value references a custom metric definition. Although in this case both the custom metric definition and custom alert definition share the same Id value of 2, this is not generally the case. Okay, that’s enough for now, not least because as I’m typing this, it’s almost 2am, I have to go to work tomorrow, and my alarm is set for 6am – eek! In my next post, I’ll either cover the remaining three tables in the alert schema, or I’ll delve into the way SQL Monitor stores its monitoring data, as I’d originally planned to cover in this post.

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  • Guide to MySQL & NoSQL, Webinar Q&A

    - by Mat Keep
    0 0 1 959 5469 Homework 45 12 6416 14.0 Normal 0 false false false EN-US JA 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-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-US;} Yesterday we ran a webinar discussing the demands of next generation web services and how blending the best of relational and NoSQL technologies enables developers and architects to deliver the agility, performance and availability needed to be successful. Attendees posted a number of great questions to the MySQL developers, serving to provide additional insights into areas like auto-sharding and cross-shard JOINs, replication, performance, client libraries, etc. So I thought it would be useful to post those below, for the benefit of those unable to attend the webinar. Before getting to the Q&A, there are a couple of other resources that maybe useful to those looking at NoSQL capabilities within MySQL: - On-Demand webinar (coming soon!) - Slides used during the webinar - Guide to MySQL and NoSQL whitepaper  - MySQL Cluster demo, including NoSQL interfaces, auto-sharing, high availability, etc.  So here is the Q&A from the event  Q. Where does MySQL Cluster fit in to the CAP theorem? A. MySQL Cluster is flexible. A single Cluster will prefer consistency over availability in the presence of network partitions. A pair of Clusters can be configured to prefer availability over consistency. A full explanation can be found on the MySQL Cluster & CAP Theorem blog post.  Q. Can you configure the number of replicas? (the slide used a replication factor of 1) Yes. A cluster is configured by an .ini file. The option NoOfReplicas sets the number of originals and replicas: 1 = no data redundancy, 2 = one copy etc. Usually there's no benefit in setting it >2. Q. Interestingly most (if not all) of the NoSQL databases recommend having 3 copies of data (the replication factor).    Yes, with configurable quorum based Reads and writes. MySQL Cluster does not need a quorum of replicas online to provide service. Systems that require a quorum need > 2 replicas to be able to tolerate a single failure. Additionally, many NoSQL systems take liberal inspiration from the original GFS paper which described a 3 replica configuration. MySQL Cluster avoids the need for a quorum by using a lightweight arbitrator. You can configure more than 2 replicas, but this is a tradeoff between incrementally improved availability, and linearly increased cost. Q. Can you have cross node group JOINS? Wouldn't that run into the risk of flooding the network? MySQL Cluster 7.2 supports cross nodegroup joins. A full cross-join can require a large amount of data transfer, which may bottleneck on network bandwidth. However, for more selective joins, typically seen with OLTP and light analytic applications, cross node-group joins give a great performance boost and network bandwidth saving over having the MySQL Server perform the join. Q. Are the details of the benchmark available anywhere? According to my calculations it results in approx. 350k ops/sec per processor which is the largest number I've seen lately The details are linked from Mikael Ronstrom's blog The benchmark uses a benchmarking tool we call flexAsynch which runs parallel asynchronous transactions. It involved 100 byte reads, of 25 columns each. Regarding the per-processor ops/s, MySQL Cluster is particularly efficient in terms of throughput/node. It uses lock-free minimal copy message passing internally, and maximizes ID cache reuse. Note also that these are in-memory tables, there is no need to read anything from disk. Q. Is access control (like table) planned to be supported for NoSQL access mode? Currently we have not seen much need for full SQL-like access control (which has always been overkill for web apps and telco apps). So we have no plans, though especially with memcached it is certainly possible to turn-on connection-level access control. But specifically table level controls are not planned. Q. How is the performance of memcached APi with MySQL against memcached+MySQL or any other Object Cache like Ecache with MySQL DB? With the memcache API we generally see a memcached response in less than 1 ms. and a small cluster with one memcached server can handle tens of thousands of operations per second. Q. Can .NET can access MemcachedAPI? Yes, just use a .Net memcache client such as the enyim or BeIT memcache libraries. Q. Is the row level locking applicable when you update a column through memcached API? An update that comes through memcached uses a row lock and then releases it immediately. Memcached operations like "INCREMENT" are actually pushed down to the data nodes. In most cases the locks are not even held long enough for a network round trip. Q. Has anyone published an example using something like PHP? I am assuming that you just use the PHP memcached extension to hook into the memcached API. Is that correct? Not that I'm aware of but absolutely you can use it with php or any of the other drivers Q. For beginner we need more examples. Take a look here for a fully worked example Q. Can I access MySQL using Cobol (Open Cobol) or C and if so where can I find the coding libraries etc? A. There is a cobol implementation that works well with MySQL, but I do not think it is Open Cobol. Also there is a MySQL C client library that is a standard part of every mysql distribution Q. Is there a place to go to find help when testing and/implementing the NoSQL access? If using Cluster then you can use the [email protected] alias or post on the MySQL Cluster forum Q. Are there any white papers on this?  Yes - there is more detail in the MySQL Guide to NoSQL whitepaper If you have further questions, please don’t hesitate to use the comments below!

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  • SQL Cluster install on Hyper V options

    - by Chris W
    I've been reading up on running a SQL Cluster in a Hyper V environment and there seems to be a couple of options: Install guest cluster on 2 VMs that are themselves part of a fail over cluster. Install SQL cluster on 2 VMs but the VMs themselves are not part of an underlying cluster. With option 1, it's little more complex as there's effectively two clusters in play but this adds some flexibility in the sense that I'm free to migrate the VMs between and physical blades in their cluster for physical maintenance without affecting the status of the SQL guest cluster that's running within them. With option 2, the set-up is a bit simpler as there's only 1 cluster in the mix but my VMs are anchored to the physical blades that they're set-up on (I'll ignore the fact I could manually move the VHDs for the purposes of this question). Are there any other factors that I should consider here when deciding which option to go for? I'm free to test out both options and probably will do but if any one has working experience of these set-ups and can offer some input that would be great.

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  • Problem serving video to iPad from Mongrel 1.1.5 , RoR 2.0.2 on Mac OS 10.6.3 Server

    - by reggieunderground
    I am working off the Final Cut Server Integration sample provided by Apple that is a Rails app using 2.0.2 and runs on Mongrel 1.1.5. I can have a basic non-Ruby directory on my boot volume (Mac OS 10.6.3 Server) and can serve up video files just fine to iPad. However, when I drag the same video file into the 'public' area of the app running on -p 3000 it will not play on iPad, but will in Safari 4.0.5 desktop version. Images work fine so I know it's not a permissions issue. I'm getting the crossed-out play icon on iPad so it is not an issue of waiting on a large file to download before playing. I suspect it is a Mongrel/Snow Leopard issue but why would Safari on desktop work fine and not Safari iPad? FYI, Integration Sample is at bottom of page: http://www.apple.com/finalcutserver/resources/ Any help is very much appreciated, Reggie

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  • How do I debug a cluster running Microsoft server 2003?

    - by alcor
    I'm sole developer of a complex critical software system, written in Visual C++ 2005. It's deployed on a classical Microsoft cluster scenario (active/passive), that has Windows Server 2003 R2. If a server A goes down, the other one (B) starts and take the ownership of its duties. You have to know that: Both servers have the same Microsoft patches/fixes, same hardware, same everything. Both servers use the same memory storage (a RAID-6 through fiber channel). This software has a main module that launches the peripheral modules. if a peripheral module crashes, the main module restarts it. When I switch the application in one of the two servers (let's say the B server) two of the peripheral modules of the main applications just started to crash apparently without reason about 2 seconds after the start of the peripheral module. What could I do to analyze/inspect/resolve this weird situation?

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  • Searching for cluster computation framework

    - by petkov_d
    I have a library, written in C#, containing one method: Response CalculateSomething(Request); The execution time of this method is relatively large, and there are a lot of responses that should be processed. I want to use a "cluster", spread this DLL to different machines (nodes) in this "cluster" and write some controller that will distribute responses to the nodes. There should be mechanism that perevent losing task because of node crush, load balancing. Can someone suggest framework that addresses this issue? P.S. There is a framework Qizmt written in C# but I think MapReduce is not good for the above scenario

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  • Using the C Cluster library in Visual C++.

    - by Stefan K.
    Right so i'm trying to use a C library in C++, never actually done this before i thought it would be a case of declaring the header includes under a extern "C" and setting the compile as flag to "default" but i'm still getting linker errors and think that the header file might have to be complied as a DLL. I have no idea really. Is it the library that's the problem or is it me? There are some make files in the cluster-1.47\src, but i don't know how or if they relate to "cluster.h". I've uploaded a visual studio 2008 project for anyone to take a gander, any help would be appreciated as i've been hitting my head against the wall for time now. thanks Stefan Link to Visual Studio 2008 Project

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  • Solution 6 : Kill a Non-Clustered Process during Two-Node Cluster Failover

    - by StanleyGu
    Using Visual Studio 2008 and C#, I developed a windows service A and deployed it to two nodes of a windows server 2008 failover cluster. The service A is part of the failover cluster service, which means, when failover occurs at node1, the cluster service will failover the windows service A from node 1 to node 2. One of the tasks implemented by the windows service A is to start, monitor or kill a process B. The process B is installed to the two nodes but is not part of the failover cluster service. When a failover occurs at node1, the cluster service does not failover the process B from node 1 to node 2, and the process B continues running at node1. The requirement is: When failover occurs at node1, we want the process B running at node1 gets killed, but we do not want the process B be part of the failover cluster service. The first idea that pops up immediately is to put some code in an event handler triggered by the failover in the windows service A. The failover effect to the windows service A is similar to using the task manager to kill the process of the windows service A, but there is no event in windows service that can be triggered by killing the process of the window service. The events related to terminating a windows service are OnStop and OnShutDown, but killing the process of windows service A triggers neither of them. The OnStop event can only be triggered by stopping the windows service using Services Control Manager or Services Management Console. Apparently, the first idea is not feasible. The second idea that emerges is to put code into the OnStart event handler of the windows service A. When failover occurs at node 1, the windows service A is killed at node 1 and started at node 2. During the starting, the windows service A at node 2 kills the process B that is running at node 1. It is a workaround and works very well. The C# code implementation within the OnStart event handler is as following: 1.       Capture server names of the two nodes from App.config 2.       Determine server name of the remote node. 3.       Kill the process B running on the remote node. Check here for sample code.  

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  • How to Set Up a Hadoop Cluster Using Oracle Solaris (Hands-On Lab)

    - by Orgad Kimchi
    Oracle Technology Network (OTN) published the "How to Set Up a Hadoop Cluster Using Oracle Solaris" OOW 2013 Hands-On Lab. This hands-on lab presents exercises that demonstrate how to set up an Apache Hadoop cluster using Oracle Solaris 11 technologies such as Oracle Solaris Zones, ZFS, and network virtualization. Key topics include the Hadoop Distributed File System (HDFS) and the Hadoop MapReduce programming model. We will also cover the Hadoop installation process and the cluster building blocks: NameNode, a secondary NameNode, and DataNodes. In addition, you will see how you can combine the Oracle Solaris 11 technologies for better scalability and data security, and you will learn how to load data into the Hadoop cluster and run a MapReduce job. Summary of Lab Exercises This hands-on lab consists of 13 exercises covering various Oracle Solaris and Apache Hadoop technologies:     Install Hadoop.     Edit the Hadoop configuration files.     Configure the Network Time Protocol.     Create the virtual network interfaces (VNICs).     Create the NameNode and the secondary NameNode zones.     Set up the DataNode zones.     Configure the NameNode.     Set up SSH.     Format HDFS from the NameNode.     Start the Hadoop cluster.     Run a MapReduce job.     Secure data at rest using ZFS encryption.     Use Oracle Solaris DTrace for performance monitoring.  Read it now

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  • New Solaris Cluster!

    - by Jeff Victor
    We released Oracle Solaris Cluster 4.1 recently. OSC offers both High Availability (HA) and also Scalable Services capabilities. HA delivers automatic restart of software on the same cluster node and/or automatic failover from a failed node to a working cluster node. Software and support is available for both x86 and SPARC systems. The Scalable Services features manage multiple cluster nodes all providing a load-balanced service such as web servers or app serves. OSC 4.1 includes the ability to recover services from software failures, failure of hardware components such as DIMMs, CPUs, and I/O cards, a global file system, rolling upgrades, and much more. Oracle Availability Engineering posted a brief description and links to details. Or, you can just download it now!

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  • Struggling to set-up NLB cluster

    - by Chris W
    I'm trying to set up NLB on a couple of Windows 2008 R2 virtual servers running on top of Hyper V R2. The servers each have a single vNIC for LAN access (and a second vNIC for SAN access). I'm setting up the cluster to use Multicast mode. The vNICs are each set to allow MAC spoofing. Essentially I'm finding that i can add SERVER1 as a host and it will pick up and respond to the cluster IP from a remote subnet. If I then 'stop' the node in NLB manager it still responds when I would expect it to stop answering on that IP. If I recreate the cluster and add SERVER2 as the first host, the wizard completes correctly and an IPCONFIG on the server shows that it now has the cluster IP but I can't ping the cluster IP from a remote subnet but I can from another machine on the same subnet. As a final test - with both servers in the cluster, pinging from another machine on the same subnet I still get a response from the cluster IP when both nodes are stopped according to the NLB manager. The two VMs are sat on the same physical blade and are built up exactly the same as they'll be used as SharePoint web front end servers. I'm at a loss as to what could be wrong with the second VM that prevents it taking on the address just as the sole node in the cluster, never mind the strange behaviour of the cluster when I stop/start nodes.

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  • Programming Windows Cluster resource DLLs using Delphi

    - by kaeff
    I wonder whether there's a way to program a resource DLL for Windows Clusters in Delphi. I want to write a program that observes cluster state changes. Judging from the MSDN API reference, all relevant functions are located in the ClusAPI.h and ResAPI.h headers, but unfortunately it seems as if they haven't been ported yet and HeaderConv seems to fail on them. Does anyone has experience in doing such a thing?

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  • Windows 2008R2 two node failover cluster creation fails

    - by Francois Wolmarans
    We have just installed two Windows 2008R2 Enterprise machines with identical hardware. When running the cluster validation everything is ok. When creating the cluster it fails with the following error: An error occurred while creating the cluster. An error occurred creating cluster 'CLUSTER04'. The parameter is incorrect The logfile on the first node where we are running our config from, does not show any errors. On the second node we get: The Cluster service is shutting down because quorum was lost. This could be due to the loss of network connectivity between some or all nodes in the cluster, or a failover of the witness disk. I've double checked and all communication between the servers are fine. Even when creating a one node cluster it gives the error. There are other failover clusters we have setup without any issues.

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  • Can Ping but Cannot Telnet directly to SQL Server 2012 Cluster Nodes

    - by tresstylez
    We have a monitoring tool (Solarwinds Orion) that needs to connect to a 2-node failover SQL Server Cluster. For reasons outside of our control -- we cannot monitor the CLUSTER IP directly at this time, so we have fallen back to monitoring each cluster node IP directly. This is not working. Upon troubleshooting, we tried to test that the cluster node was listening on the proper (fixed) port by using telnet to the cluster node IP/port -- and the telnet failed. However, telnet'ing to the Cluster IP/Port was SUCCESSFUL! Each node has its own IP. Each node is listening on the identical FIXED port. Each node has Dynamic Ports disabled. Each node can be PINGED successfully from the monitoring tool. Windows Firewall is DISABLED. How can I troubleshoot why I cannot telnet to the listening port on the cluster nodes?

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  • ColdFusion 9 Cluster with IIS7.5

    - by Adam Winter
    Does anyone know of a step by step process of setting up a ColdFusion 9 cluster using IIS 7.5? Either failover or network load balance would be nice. Without IIS being clusterable in Windows 2008 R2, I'm not sure of the best means to configure the web server and ColdFusion service. Some of the things I'm looking for are..... With load balancing, what do you use out in front of the servers as a load balancer? If you're using a network share on a clustered file server for the website data files, how do you configure the ColdFusion service to run so that it has network access instead of running as Local System?

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  • How to set permissions on MSMQ Cluster queues?

    - by JorgeSandoval
    I've got a cluster with functioning private MSMQ 3.0 queues. I'm trying to programmatically set the permissions, but can't seem to connect via System.Messaging on the queues. The code below works just fine when working with local queues (and using .\ nomenclature for the local queue). How to programmatically set the permissions on the clustered queues? Powershell code executed from the active node function set-msmqpermission ([string] $queuepath,[string] $account, [string] $accessright) { if (!([System.Messaging.MessageQueue]::Exists($queuepath))){ throw "$queuepath could not be found." } $q=New-Object System.Messaging.MessageQueue($queuepath) $q.SetPermissions($account,[System.Messaging.MessageQueueAccessRights]::$accessright, [System.Messaging.AccessControlEntryType]::Set) } set-msmqpermission "clusternetworkname\private$\qa1ack" "UserAccount" "FullControl" Exception calling "SetPermissions" with "3" argument(s): "Invalid queue path name." At line:30 char:19 + $q.SetPermissions <<<< ($account,[System.Messaging.MessageQueueAccessRights]::$accessright, + CategoryInfo : NotSpecified: (:) [], MethodInvocationException + FullyQualifiedErrorId : DotNetMethodException

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  • script unable to find directories/files when running from qsub cluster script

    - by user248237
    I'm calling several unix commands and python on a python script from a qsub shell script, meant to run on a cluster. The trouble is that when the script executes, something seems to go awry in the shell, so that directories and files that exist are not found. For example, in the .out output files of qsub I see the following errors: cd: /valid/dir/name: No such file or directory python valid/script/name.py python: can't open file 'valid/script/name.py': [Errno 2] No such file or directory so the script cannot cd into a dir that definitely exist. Similarly, calling python on a python script that definitely exists yields an error. any idea what might be going wrong here, or how I could try to debug this? thanks very much.

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  • Oracle Hash Cluster Overflow Blocks

    - by Andrew
    When inserting a large number of rows into a single table hash cluster in Oracle, it will fill up the block with any values that hash to that hash-value and then start using overflow blocks. These overflow blocks are listed as chained off the main block, but I can not find detailed information on the way in which they are allocated or chained. When an overflow block is allocated for a hash value, is that block exclusively allocated to that hash value, or are the overflow blocks used as a pool and different hash values can then start using the same overflow block. How is the free space of the chain monitored - in that, as data is continued to be inserted, does it have to traverse the entire chain to find out if it has some free space in the current overflow chain, and then if it finds none, it then chooses to allocate a new block?

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  • tomcat 6 - Cluster / BackupManager

    - by Kevin
    Hi, I have a question regarding Clustering (session replication/failover) in tomcat 6 using BackupManager. Reason I chose BackupManager, is because it replicates the session to only one other server. I am going to run through the example below to try and explain my question. I have 6 nodes setup in a tomcat 6 cluster with BackupManager. The front end is one Apache server using mod_jk with sticky session enabled Each node has 1 session each. node1 has a session from client1 node2 has a session from client2 .. .. Now lets say node1 goes down ; assuming node2 is the backup, node2 now has two sessions (for client2 and client1) The next time client1 makes a request, what exactly happens ? Does Apache "know" that node1 is down and does it send the request directly to node2 ? =OR= does it try each of the 6 instances and find out the hard way who the backup is ?

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  • Cluster of computers for rent?

    - by R S
    I am doing a project in the university which requires running of multiple instances (1000s) of a program I've written (in C++), which runs for quite a while (say 2 hours). The program is very self contained - it does not require input files, and the only dependency I think is boost. I'm currently using the university-owned cluster of computer. However, it's quite old and the jobs dispatching and monitors services are pretty bad. So I was wondering whether I can run my jobs elsewhere, for some money. For example, I looked a bit into Google App Engine, but as it seems every job must end after 30 seconds it is not suitable for me. Maybe Amazon EC2? Do you know of such options?

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