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  • INetCfgComponent::RaisePropertyUi arguments

    - by Soo Wei Tan
    I'm trying to do some COM interop and attempting to invoke the INetCfgComponent::RaisePropertyUi method. I've gotten to the point where I can enumerate devices and get a valid INetCfgComponent for the adapter that I want to display the UI for. However, I'm a COM newbie (let alone COM interop) so I have no idea what the third argument in RaisePropertyUi() is meant to be. I've tried passing in the INetCfgComponent object that I have, but that just results in a InvalidCastException. MSDN has the following to say about the argument: Pointer to the IUnknown interface. RaisePropertyUi retrieves from IUnknown the interface of the context in which to display a network component's property sheet. RaisePropertyUi uses this interface to restrict the display of the property sheet to the context of a connection.

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  • ODI 12c - Parallel Table Load

    - by David Allan
    In this post we will look at the ODI 12c capability of parallel table load from the aspect of the mapping developer and the knowledge module developer - two quite different viewpoints. This is about parallel table loading which isn't to be confused with loading multiple targets per se. It supports the ability for ODI mappings to be executed concurrently especially if there is an overlap of the datastores that they access, so any temporary resources created may be uniquely constructed by ODI. Temporary objects can be anything basically - common examples are staging tables, indexes, views, directories - anything in the ETL to help the data integration flow do its job. In ODI 11g users found a few workarounds (such as changing the technology prefixes - see here) to build unique temporary names but it was more of a challenge in error cases. ODI 12c mappings by default operate exactly as they did in ODI 11g with respect to these temporary names (this is also true for upgraded interfaces and scenarios) but can be configured to support the uniqueness capabilities. We will look at this feature from two aspects; that of a mapping developer and that of a developer (of procedures or KMs). 1. Firstly as a Mapping Developer..... 1.1 Control when uniqueness is enabled A new property is available to set unique name generation on/off. When unique names have been enabled for a mapping, all temporary names used by the collection and integration objects will be generated using unique names. This property is presented as a check-box in the Property Inspector for a deployment specification. 1.2 Handle cleanup after successful execution Provided that all temporary objects that are created have a corresponding drop statement then all of the temporary objects should be removed during a successful execution. This should be the case with the KMs developed by Oracle. 1.3 Handle cleanup after unsuccessful execution If an execution failed in ODI 11g then temporary tables would have been left around and cleaned up in the subsequent run. In ODI 12c, KM tasks can now have a cleanup-type task which is executed even after a failure in the main tasks. These cleanup tasks will be executed even on failure if the property 'Remove Temporary Objects on Error' is set. If the agent was to crash and not be able to execute this task, then there is an ODI tool (OdiRemoveTemporaryObjects here) you can invoke to cleanup the tables - it supports date ranges and the like. That's all there is to it from the aspect of the mapping developer it's much, much simpler and straightforward. You can now execute the same mapping concurrently or execute many mappings using the same resource concurrently without worrying about conflict.  2. Secondly as a Procedure or KM Developer..... In the ODI Operator the executed code shows the actual name that is generated - you can also see the runtime code prior to execution (introduced in 11.1.1.7), for example below in the code type I selected 'Pre-executed Code' this lets you see the code about to be processed and you can also see the executed code (which is the default view). References to the collection (C$) and integration (I$) names will be automatically made unique by using the odiRef APIs - these objects will have unique names whenever concurrency has been enabled for a particular mapping deployment specification. It's also possible to use name uniqueness functions in procedures and your own KMs. 2.1 New uniqueness tags  You can also make your own temporary objects have unique names by explicitly including either %UNIQUE_STEP_TAG or %UNIQUE_SESSION_TAG in the name passed to calls to the odiRef APIs. Such names would always include the unique tag regardless of the concurrency setting. To illustrate, let's look at the getObjectName() method. At <% expansion time, this API will append %UNIQUE_STEP_TAG to the object name for collection and integration tables. The name parameter passed to this API may contain  %UNIQUE_STEP_TAG or %UNIQUE_SESSION_TAG. This API always generates to the <? version of getObjectName() At execution time this API will replace the unique tag macros with a string that is unique to the current execution scope. The returned name will conform to the name-length restriction for the target technology, and its pattern for the unique tag. Any necessary truncation will be performed against the initial name for the object and any other fixed text that may have been specified. Examples are:- <?=odiRef.getObjectName("L", "%COL_PRFEMP%UNIQUE_STEP_TAG", "D")?> SCOTT.C$_EABH7QI1BR1EQI3M76PG9SIMBQQ <?=odiRef.getObjectName("L", "EMP%UNIQUE_STEP_TAG_AE", "D")?> SCOTT.EMPAO96Q2JEKO0FTHQP77TMSAIOSR_ Methods which have this kind of support include getFrom, getTableName, getTable, getObjectShortName and getTemporaryIndex. There are APIs for retrieving this tag info also, the getInfo API has been extended with the following properties (the UNIQUE* properties can also be used in ODI procedures); UNIQUE_STEP_TAG - Returns the unique value for the current step scope, e.g. 5rvmd8hOIy7OU2o1FhsF61 Note that this will be a different value for each loop-iteration when the step is in a loop. UNIQUE_SESSION_TAG - Returns the unique value for the current session scope, e.g. 6N38vXLrgjwUwT5MseHHY9 IS_CONCURRENT - Returns info about the current mapping, will return 0 or 1 (only in % phase) GUID_SRC_SET - Returns the UUID for the current source set/execution unit (only in % phase) The getPop API has been extended with the IS_CONCURRENT property which returns info about an mapping, will return 0 or 1.  2.2 Additional APIs Some new APIs are provided including getFormattedName which will allow KM developers to construct a name from fixed-text or ODI symbols that can be optionally truncate to a max length and use a specific encoding for the unique tag. It has syntax getFormattedName(String pName[, String pTechnologyCode]) This API is available at both the % and the ? phase.  The format string can contain the ODI prefixes that are available for getObjectName(), e.g. %INT_PRF, %COL_PRF, %ERR_PRF, %IDX_PRF alongwith %UNIQUE_STEP_TAG or %UNIQUE_SESSION_TAG. The latter tags will be expanded into a unique string according to the specified technology. Calls to this API within the same execution context are guaranteed to return the same unique name provided that the same parameters are passed to the call. e.g. <%=odiRef.getFormattedName("%COL_PRFMY_TABLE%UNIQUE_STEP_TAG_AE", "ORACLE")%> <?=odiRef.getFormattedName("%COL_PRFMY_TABLE%UNIQUE_STEP_TAG_AE", "ORACLE")?> C$_MY_TAB7wDiBe80vBog1auacS1xB_AE <?=odiRef.getFormattedName("%COL_PRFMY_TABLE%UNIQUE_STEP_TAG.log", "FILE")?> C2_MY_TAB7wDiBe80vBog1auacS1xB.log 2.3 Name length generation  As part of name generation, the length of the generated name will be compared with the maximum length for the target technology and truncation may need to be applied. When a unique tag is included in the generated string it is important that uniqueness is not compromised by truncation of the unique tag. When a unique tag is NOT part of the generated name, the name will be truncated by removing characters from the end - this is the existing 11g algorithm. When a unique tag is included, the algorithm will first truncate the <postfix> and if necessary  the <prefix>. It is recommended that users will ensure there is sufficient uniqueness in the <prefix> section to ensure uniqueness of the final resultant name. SUMMARY To summarize, ODI 12c make it much simpler to utilize mappings in concurrent cases and provides APIs for helping developing any procedures or custom knowledge modules in such a way they can be used in highly concurrent, parallel scenarios. 

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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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  • Git over SSH Server in Windows, cannot find shared libraries.

    - by Roy Marco Aruta
    I was to setup an SSH Server to Host my Git Repository to my local area network. I followed this tutorial by TimDavis hoping that I would be able to make a secured Git Repository. I tested my connection using Putty and it was successful. My only problem was I cannot run "git" command in the console. Then I tried cloning my repository, and this was the error that outputed: /usr/bin/git-upload-pack.exe: error while loading shared libraries: libiconv2.dll: cannot open shared object file: No such file or directory Also when I ran "git" command in the Putty Bash that was connected to the SSH Server, this was the error I encountered: /usr/bin/git.exe: error while loading shared libraries: pthreadGC2.dll: cannot open shared object file: No such file or directory I seems that all my problem was about the missing libraries but I don't know how to solve it. I am using Windows 7 as an Operating System. Thanks

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  • asp.net connection reset with long running process

    - by Ronnie Overby
    In an asp.net web form, I keep getting a connection reset error message. The page is doing a some long running processing (about 2-5 minutes). I have no problem when the web request comes from the same machine as the web server. But when the request originates across the network, I get a connection reset error about 1:30 or 2 minutes into waiting for a response. I have set the in web.config for this application and put the application it's own application pool. What else can I try?

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  • WCF Service Authentication problem?

    - by Marcus
    I have an application which exposes lots of interfaces via net.tcp protocol, using both SecurityMode.Transport and SecurityMode.None (I really need support for both). My whole application is written in a DLL file. I have a form which consumes this DLL and now I made a Windows Service to consume this DLL. The problem is, when this windows service goes up, the insecure service throws this exception: Stream Security is required at http://www.w3.org/2005/08/addressing/anonymous, but no security context was negotiated. This is likely caused by the remote endpoint missing a StreamSecurityBindingElement from its binding. In the client side, nothing has changed. Is there any reason for this behaviour? The program is exactly the same. When I run the same test with the form app, it works... ps: I've already tried running the windows service as: SYSTEM, NETWORK SERVICE and my user account (which runs the form app) Thanks

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  • Strange remoting connection problem

    - by Voyager Systems
    In trying to configure a .NET remoting setup over TCP, I've been having problems accepting outside connections (connections from any computer not on my LAN). I did some investigation and hit netstat -a as soon as my friend started to connect. Here's what I saw: TCP 0.0.0.0:2594 Taylor-PC:0 LISTENING ... TCP 192.168.1.102:2594 24-155-7-16:63588 ESTABLISHED TCP 192.168.1.102:62488 192.168.0.100:1554 SYN_SENT Now here's the weird part: 24.155.7.16 is my friend's IP (modified) and it says the connection is established. But the connection hangs until it times out. I then found out that 192.168.0.100 is his local address on his network. Something screwy's going on somewhere. My server and client are both TCPChannels, the latter initialized 'new TCPChannel( 0 ).' Localhost connections work when I run a client on the same machine as the server, but I can't accept remote connections. There is no port forwarding or firewall issue. Thanks for the help

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  • Delphi 2010 Professional and remote database access

    - by Kico Lobo
    Hi, When looking for which version of Delphi 2010 to buy, we found the following limitation on the professional one: Delphi 2010 Professional is designed for developers building high-performance desktop GUI and touch-screen applications with (or without) embedded and local database persistence. What does this really mean? Does this mean that we'll only face this restriction if we choose to use the native vcl components for database access we'll face this restriction. And what if we choose to use ADO components instead of those? In this case, how can Delphi avoid us to access remote database servers? Did anyone here ever tried this? Going even further: if we choose to use a database like Firebird, which is just one file, and used a network mapped drive. Could we be facing the same limitation? Supposing we opt for ADO, what will be the main consequences?

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  • sql server 2008 export to mdb issue

    - by Vivek Chandraprakash
    Hi i'm trying to import records from a mdb file to sql server 2008. i have a separate db server and application server. wrote a stored proc to import data from mdb. But it fails as the mdb is on a network. It works if it's on the db server itself. i'm using sql server account. if i login using windows account and try the same sp it works. How to make it work for sql server account? -Vivek

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  • Enhanced REST Support in Oracle Service Bus 11gR1

    - by jeff.x.davies
    In a previous entry on REST and Oracle Service Bus (see http://blogs.oracle.com/jeffdavies/2009/06/restful_services_with_oracle_s_1.html) I encoded the REST query string really as part of the relative URL. For example, consider the following URI: http://localhost:7001/SimpleREST/Products/id=1234 Now, technically there is nothing wrong with this approach. However, it is generally more common to encode the search parameters into the query string. Take a look at the following URI that shows this principle http://localhost:7001/SimpleREST/Products?id=1234 At first blush this appears to be a trivial change. However, this approach is more intuitive, especially if you are passing in multiple parameters. For example: http://localhost:7001/SimpleREST/Products?cat=electronics&subcat=television&mfg=sony The above URI is obviously used to retrieve a list of televisions made by Sony. In prior versions of OSB (before 11gR1PS3), parsing the query string of a URI was more difficult than in the current release. In 11gR1PS3 it is now much easier to parse the query strings, which in turn makes developing REST services in OSB even easier. In this blog entry, we will re-implement the REST-ful Products services using query strings for passing parameter information. Lets begin with the implementation of the Products REST service. This service is implemented in the Products.proxy file of the project. Lets begin with the overall structure of the service, as shown in the following screenshot. This is a common pattern for REST services in the Oracle Service Bus. You implement different flows for each of the HTTP verbs that you want your service to support. Lets take a look at how the GET verb is implemented. This is the path that is taken of you were to point your browser to: http://localhost:7001/SimpleREST/Products/id=1234 There is an Assign action in the request pipeline that shows how to extract a query parameter. Here is the expression that is used to extract the id parameter: $inbound/ctx:transport/ctx:request/http:query-parameters/http:parameter[@name="id"]/@value The Assign action that stores the value into an OSB variable named id. Using this type of XPath statement you can query for any variables by name, without regard to their order in the parameter list. The Log statement is there simply to provided some debugging info in the OSB server console. The response pipeline contains a Replace action that constructs the response document for our rest service. Most of the response data is static, but the ID field that is returned is set based upon the query-parameter that was passed into the REST proxy. Testing the REST service with a browser is very simple. Just point it to the URL I showed you earlier. However, the browser is really only good for testing simple GET services. The OSB Test Console provides a much more robust environment for testing REST services, no matter which HTTP verb is used. Lets see how to use the Test Console to test this GET service. Open the OSB we console (http://localhost:7001/sbconsole) and log in as the administrator. Click on the Test Console icon (the little "bug") next to the Products proxy service in the SimpleREST project. This will bring up the Test Console browser window. Unlike SOAP services, we don't need to do much work in the request document because all of our request information will be encoded into the URI of the service itself. Belore the Request Document section of the Test Console is the Transport section. Expand that section and modify the query-parameters and http-method fields as shown in the next screenshot. By default, the query-parameters field will have the tags already defined. You just need to add a tag for each parameter you want to pass into the service. For out purposes with this particular call, you'd set the quer-parameters field as follows: <tp:parameter name="id" value="1234" /> </tp:query-parameters> Now you are ready to push the Execute button to see the results of the call. That covers the process for parsing query parameters using OSB. However, what if you have an OSB proxy service that needs to consume a REST-ful service? How do you tell OSB to pass the query parameters to the external service? In the sample code you will see a 2nd proxy service called CallREST. It invokes the Products proxy service in exactly the same way it would invoke any REST service. Our CallREST proxy service is defined as a SOAP service. This help to demonstrate OSBs ability to mediate between service consumers and service providers, decreasing the level of coupling between them. If you examine the message flow for the CallREST proxy service, you'll see that it uses an Operational branch to isolate processing logic for each operation that is defined by the SOAP service. We will focus on the getProductDetail branch, that calls the Products REST service using the HTTP GET verb. Expand the getProduct pipeline and the stage node that it contains. There is a single Assign statement that simply extracts the productID from the SOA request and stores it in a local OSB variable. Nothing suprising here. The real work (and the real learning) occurs in the Route node below the pipeline. The first thing to learn is that you need to use a route node when calling REST services, not a Service Callout or a Publish action. That's because only the Routing action has access to the $oubound variable, especially when invoking a business service. The Routing action contains 3 Insert actions. The first Insert action shows how to specify the HTTP verb as a GET. The second insert action simply inserts the XML node into the request. This element does not exist in the request by default, so we need to add it manually. Now that we have the element defined in our outbound request, we can fill it with the parameters that we want to send to the REST service. In the following screenshot you can see how we define the id parameter based on the productID value we extracted earlier from the SOAP request document. That expression will look for the parameter that has the name id and extract its value. That's all there is to it. You now know how to take full advantage of the query parameter parsing capability of the Oracle Service Bus 11gR1PS2. Download the sample source code here: rest2_sbconfig.jar Ubuntu and the OSB Test Console You will get an error when you try to use the Test Console with the Oracle Service Bus, using Ubuntu (or likely a number of other Linux distros also). The error (shown below) will state that the Test Console service is not running. The fix for this problem is quite simple. Open up the WebLogic Server administrator console (usually running at http://localhost:7001/console). In the Domain Structure window on the left side of the console, select the Servers entry under the Environment heading. The select the Admin Server entry in the main window of the console. By default, you should be viewing the Configuration tabe and the General sub tab in the main window. Look for the Listen Address field. By default it is blank, which means it is listening on all interfaces. For some reason Ubuntu doesn't like this. So enter a value like localhost or the specific IP address or DNS name for your server (usually its just localhost in development envirionments). Save your changes and restart the server. Your Test Console will now work correctly.

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  • ASP.NET MVC and mixed mode authentication

    - by Alan T
    Hi All I have a scenario whereby I require users to be able to authenticate against an ASP.NET MVC web application using either Windows authentication or Forms authentication. If the user is on the internal network they will use Windows authentication and if they are connecting externally they will use Forms authentication. I’ve seen quite a few people asking the question how do I configure an ASP.NET MVC web application for this, but I haven’t found a complete explanation. Please can someone provide a detailed explanation, with code examples, on how this would be done? Thanks. Alan T

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  • CLSF & CLK 2013 Trip Report by Jeff Liu

    - by jamesmorris
    This is a contributed post from Jeff Liu, lead XFS developer for the Oracle mainline Linux kernel team. Recently, I attended both the China Linux Storage and Filesystem workshop (CLSF), and the China Linux Kernel conference (CLK), which were held in Shanghai. Here are the highlights for both events. CLSF - 17th October XFS update (led by Jeff Liu) XFS keeps rapid progress with a lot of changes, especially focused on the infrastructure/performance improvements as well as  new feature development.  This can be reflected with a sample statistics among XFS/Ext4+JBD2/Btrfs via: # git diff --stat --minimal -C -M v3.7..v3.12-rc4 -- fs/xfs|fs/ext4+fs/jbd2|fs/btrfs XFS: 141 files changed, 27598 insertions(+), 19113 deletions(-) Ext4+JBD2: 39 files changed, 10487 insertions(+), 5454 deletions(-) Btrfs: 70 files changed, 19875 insertions(+), 8130 deletions(-) What made up those changes in XFS? Self-describing metadata(CRC32c). This is a new feature and it contributed about 70% code changes, it can be enabled via `mkfs.xfs -m crc=1 /dev/xxx` for v5 superblock. Transaction log space reservation improvements. With this change, we can calculate the log space reservation at mount time rather than runtime to reduce the the CPU overhead. User namespace support. So both XFS and USERNS can be enabled on kernel configuration begin from Linux 3.10. Thanks Dwight Engen's efforts for this thing. Split project/group quota inodes. Originally, project quota can not be enabled with group quota at the same time because they were share the same quota file inode, now it works but only for v5 super block. i.e, CRC enabled. CONFIG_XFS_WARN, an new lightweight runtime debugger which can be deployed in production environment. Readahead log object recovery, this change can speed up the log replay progress significantly. Speculative preallocation inode tracking, clearing and throttling. The main purpose is to deal with inodes with post-EOF space due to speculative preallocation, support improved quota management to free up a significant amount of unwritten space when at or near EDQUOT. It support backgroup scanning which occurs on a longish interval(5 mins by default, tunable), and on-demand scanning/trimming via ioctl(2). Bitter arguments ensued from this session, especially for the comparison between Ext4 and Btrfs in different areas, I have to spent a whole morning of the 1st day answering those questions. We basically agreed on XFS is the best choice in Linux nowadays because: Stable, XFS has a good record in stability in the past 10 years. Fengguang Wu who lead the 0-day kernel test project also said that he has observed less error than other filesystems in the past 1+ years, I own it to the XFS upstream code reviewer, they always performing serious code review as well as testing. Good performance for large/small files, XFS does not works very well for small files has already been an old story for years. Best choice (maybe) for distributed PB filesystems. e.g, Ceph recommends delopy OSD daemon on XFS because Ext4 has limited xattr size. Best choice for large storage (>16TB). Ext4 does not support a single file more than around 15.95TB. Scalability, any objection to XFS is best in this point? :) XFS is better to deal with transaction concurrency than Ext4, why? The maximum size of the log in XFS is 2038MB compare to 128MB in Ext4. Misc. Ext4 is widely used and it has been proved fast/stable in various loads and scenarios, XFS just need more customers, and Btrfs is still on the road to be a manhood. Ceph Introduction (Led by Li Wang) This a hot topic.  Li gave us a nice introduction about the design as well as their current works. Actually, Ceph client has been included in Linux kernel since 2.6.34 and supported by Openstack since Folsom but it seems that it has not yet been widely deployment in production environment. Their major work is focus on the inline data support to separate the metadata and data storage, reduce the file access time, i.e, a file access need communication twice, fetch the metadata from MDS and then get data from OSD, and also, the small file access is limited by the network latency. The solution is, for the small files they would like to store the data at metadata so that when accessing a small file, the metadata server can push both metadata and data to the client at the same time. In this way, they can reduce the overhead of calculating the data offset and save the communication to OSD. For this feature, they have only run some small scale testing but really saw noticeable improvements. Test environment: Intel 2 CPU 12 Core, 64GB RAM, Ubuntu 12.04, Ceph 0.56.6 with 200GB SATA disk, 15 OSD, 1 MDS, 1 MON. The sequence read performance for 1K size files improved about 50%. I have asked Li and Zheng Yan (the core developer of Ceph, who also worked on Btrfs) whether Ceph is really stable and can be deployed at production environment for large scale PB level storage, but they can not give a positive answer, looks Ceph even does not spread over Dreamhost (subject to confirmation). From Li, they only deployed Ceph for a small scale storage(32 nodes) although they'd like to try 6000 nodes in the future. Improve Linux swap for Flash storage (led by Shaohua Li) Because of high density, low power and low price, flash storage (SSD) is a good candidate to partially replace DRAM. A quick answer for this is using SSD as swap. But Linux swap is designed for slow hard disk storage, so there are a lot of challenges to efficiently use SSD for swap. SWAPOUT swap_map scan swap_map is the in-memory data structure to track swap disk usage, but it is a slow linear scan. It will become a bottleneck while finding many adjacent pages in the use of SSD. Shaohua Li have changed it to a cluster(128K) list, resulting in O(1) algorithm. However, this apporoach needs restrictive cluster alignment and only enabled for SSD. IO pattern In most cases, the swap io is in interleaved pattern because of mutiple reclaimers or a free cluster is shared by all reclaimers. Even though block layer can merge interleaved IO to some extent, but we cannot count on it completely. Hence the per-cpu cluster is added base on the previous change, it can help reclaimer do sequential IO and the block layer will be easier to merge IO. TLB flush: If we're reclaiming one active page, we should first move the page from active lru list to inactive lru list, and then reclaim the page from inactive lru to swap it out. During the process, we need to clear PTE twice: first is 'A'(ACCESS) bit, second is 'P'(PRESENT) bit. Processors need to send lots of ipi which make the TLB flush really expensive. Some works have been done to improve this, including rework smp_call_functiom_many() or remove the first TLB flush in x86, but there still have some arguments here and only parts of works have been pushed to mainline. SWAPIN: Page fault does iodepth=1 sync io, but it's a little waste if only issue a page size's IO. The obvious solution is doing swap readahead. But the current in-kernel swap readahead is arbitary(always 8 pages), and it always doesn't perform well for both random and sequential access workload. Shaohua introduced a new flag for madvise(MADV_WILLNEED) to do swap prefetch, so the changes happen in userspace API and leave the in-kernel readahead unchanged(but I think some improvement can also be done here). SWAP discard As we know, discard is important for SSD write throughout, but the current swap discard implementation is synchronous. He changed it to async discard which allow discard and write run in the same time. Meanwhile, the unit of discard is also optimized to cluster. Misc: lock contention For many concurrent swapout and swapin , the lock contention such as anon_vma or swap_lock is high, so he changed the swap_lock to a per-swap lock. But there still have some lock contention in very high speed SSD because of swapcache address_space lock. Zproject (led by Bob Liu) Bob gave us a very nice introduction about the current memory compression status. Now there are 3 projects(zswap/zram/zcache) which all aim at smooth swap IO storm and promote performance, but they all have their own pros and cons. ZSWAP It is implemented based on frontswap API and it uses a dynamic allocater named Zbud to allocate free pages. Zbud means pairs of zpages are "buddied" and it can only store at most two compressed pages in one page frame, so the max compress ratio is 50%. Each page frame is lru-linked and can do shink in memory pressure. If the compressed memory pool reach its limitation, shink or reclaim happens. It decompress the page frame into two new allocated pages and then write them to real swap device, but it can fail when allocating the two pages. ZRAM Acts as a compressed ramdisk and used as swap device, and it use zsmalloc as its allocator which has high density but may have fragmentation issues. Besides, page reclaim is hard since it will need more pages to uncompress and free just one page. ZRAM is preferred by embedded system which may not have any real swap device. Now both ZRAM and ZSWAP are in driver/staging tree, and in the mm community there are some disscussions of merging ZRAM into ZSWAP or viceversa, but no agreement yet. ZCACHE Handles file page compression but it is removed out of staging recently. From industry (led by Tang Jie, LSI) An LSI engineer introduced several new produces to us. The first is raid5/6 cards that it use full stripe writes to improve performance. The 2nd one he introduced is SandForce flash controller, who can understand data file types (data entropy) to reduce write amplification (WA) for nearly all writes. It's called DuraWrite and typical WA is 0.5. What's more, if enable its Dynamic Logical Capacity function module, the controller can do data compression which is transparent to upper layer. LSI testing shows that with this virtual capacity enables 1x TB drive can support up to 2x TB capacity, but the application must monitor free flash space to maintain optimal performance and to guard against free flash space exhaustion. He said the most useful application is for datebase. Another thing I think it's worth to mention is that a NV-DRAM memory in NMR/Raptor which is directly exposed to host system. Applications can directly access the NV-DRAM via a memory address - using standard system call mmap(). He said that it is very useful for database logging now. This kind of NVM produces are beginning to appear in recent years, and it is said that Samsung is building a research center in China for related produces. IMHO, NVM will bring an effect to current os layer especially on file system, e.g. its journaling may need to redesign to fully utilize these nonvolatile memory. OCFS2 (led by Canquan Shen) Without a doubt, HuaWei is the biggest contributor to OCFS2 in the past two years. They have posted 46 upstream patches and 39 patches have been merged. Their current project is based on 32/64 nodes cluster, but they also tried 128 nodes at the experimental stage. The major work they are working is to support ATS (atomic test and set), it can be works with DLM at the same time. Looks this idea is inspired by the vmware VMFS locking, i.e, http://blogs.vmware.com/vsphere/2012/05/vmfs-locking-uncovered.html CLK - 18th October 2013 Improving Linux Development with Better Tools (Andi Kleen) This talk focused on how to find/solve bugs along with the Linux complexity growing. Generally, we can do this with the following kind of tools: Static code checkers tools. e.g, sparse, smatch, coccinelle, clang checker, checkpatch, gcc -W/LTO, stanse. This can help check a lot of things, simple mistakes, complex problems, but the challenges are: some are very slow, false positives, may need a concentrated effort to get false positives down. Especially, no static checker I found can follow indirect calls (“OO in C”, common in kernel): struct foo_ops { int (*do_foo)(struct foo *obj); } foo->do_foo(foo); Dynamic runtime checkers, e.g, thread checkers, kmemcheck, lockdep. Ideally all kernel code would come with a test suite, then someone could run all the dynamic checkers. Fuzzers/test suites. e.g, Trinity is a great tool, it finds many bugs, but needs manual model for each syscall. Modern fuzzers around using automatic feedback, but notfor kernel yet: http://taviso.decsystem.org/making_software_dumber.pdf Debuggers/Tracers to understand code, e.g, ftrace, can dump on events/oops/custom triggers, but still too much overhead in many cases to run always during debug. Tools to read/understand source, e.g, grep/cscope work great for many cases, but do not understand indirect pointers (OO in C model used in kernel), give us all “do_foo” instances: struct foo_ops { int (*do_foo)(struct foo *obj); } = { .do_foo = my_foo }; foo>do_foo(foo); That would be great to have a cscope like tool that understands this based on types/initializers XFS: The High Performance Enterprise File System (Jeff Liu) [slides] I gave a talk for introducing the disk layout, unique features, as well as the recent changes.   The slides include some charts to reflect the performances between XFS/Btrfs/Ext4 for small files. About a dozen users raised their hands when I asking who has experienced with XFS. I remembered that when I asked the same question in LinuxCon/Japan, only 3 people raised their hands, but they are Chris Mason, Ric Wheeler, and another attendee. The attendee questions were mainly focused on stability, and comparison with other file systems. Linux Containers (Feng Gao) The speaker introduced us that the purpose for those kind of namespaces, include mount/UTS/IPC/Network/Pid/User, as well as the system API/ABI. For the userspace tools, He mainly focus on the Libvirt LXC rather than us(LXC). Libvirt LXC is another userspace container management tool, implemented as one type of libvirt driver, it can manage containers, create namespace, create private filesystem layout for container, Create devices for container and setup resources controller via cgroup. In this talk, Feng also mentioned another two possible new namespaces in the future, the 1st is the audit, but not sure if it should be assigned to user namespace or not. Another is about syslog, but the question is do we really need it? In-memory Compression (Bob Liu) Same as CLSF, a nice introduction that I have already mentioned above. Misc There were some other talks related to ACPI based memory hotplug, smart wake-affinity in scheduler etc., but my head is not big enough to record all those things. -- Jeff Liu

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  • SPWeb ProcessBatchData

    - by BeraCim
    Hi all: I'm currently using SPWeb's ProcessBatchData to update a lot of list items/folders into Sharepoint database. For example, in one batch update I have ~1200 objects to update. I also run it numerous times during different phases in my app. I found that it is generally faster and more efficient in updating large amount of items. But lately the performance of the app has decreased as more processes get added to the app (and also more batch updates). I was wondering whether the ProcessBatchData would be a suspect in slowing down the app? E.g. temporarily locking up db, draining resources, lagging network, etc. Thanks.

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  • Interview with Lenz Grimmer about MySQL Connect

    - by Keith Larson
    Keith Larson: Thank you for allowing me to do this interview with you.  I have been talking with a few different Oracle ACEs   about the MySQL Connect Conference. I figured the MySQL community might be missing you as well. You have been very busy with Oracle Linux but I know you still have an eye on the MySQL Community. How have things been?Lenz Grimmer: Thanks for including me in this series of interviews, I feel honored! I've read the other interviews, and really liked them. I still try to follow what's going on over in the MySQL community and it's good to see that many of the familiar faces are still around. Over the course of the 9 years that I was involved with MySQL, many colleagues and contacts turned into good friends and we still maintain close relationships.It's been almost 1.5 years ago that I moved into my new role here in the Linux team at Oracle, and I really enjoy working on a Linux distribution again (I worked for SUSE before I joined MySQL AB in 2002). I'm still learning a lot - Linux in the data center has greatly evolved in so many ways and there are a lot of new and exciting technologies to explore. Keith Larson: What were your thoughts when you heard that Oracle was going to deliver the MySQL Connect conference to the MySQL Community?Lenz Grimmer: I think it's testament to the fact that Oracle deeply cares about MySQL, despite what many skeptics may say. What started as "MySQL Sunday" two years ago has now evolved into a full-blown sub-conference, with 80 sessions at one of the largest corporate IT events in the world. I find this quite telling, not many products at Oracle enjoy this level of exposure! So it certainly makes me feel proud to see how far MySQL has come. Keith Larson: Have you had a chance to look over the sessions? What are your thoughts on them?Lenz Grimmer: I did indeed look at the final schedule.The content committee did a great job with selecting these sessions. I'm glad to see that the content selection was influenced by involving well-known and respected members of the MySQL community. The sessions cover a broad range of topics and technologies, both covering established topics as well as recent developments. Keith Larson: When you get a chance, what sessions do you plan on attending?Lenz Grimmer: I will actually be manning the Oracle booth in the exhibition area on one of these days, so I'm not sure if I'll have a lot of time attending sessions. But if I do, I'd love to see the keynotes and catch some of the sessions that talk about recent developments and new features in MySQL, High Availability and Clustering . Quite a lot has happened and it's hard to keep up with this constant flow of new MySQL releases.In particular, the following sessions caught my attention: MySQL Connect Keynote: The State of the Dolphin Evaluating MySQL High-Availability Alternatives CERN’s MySQL “as a Service” Deployment with Oracle VM: Empowering Users MySQL 5.6 Replication: Taking Scalability and High Availability to the Next Level What’s New in MySQL Server 5.6? MySQL Security: Past and Present MySQL at Twitter: Development and Deployment MySQL Community BOF MySQL Connect Keynote: MySQL Perspectives Keith Larson: So I will ask you just like I have asked the others I have interviewed, any tips that you would give to people for handling the long hours at conferences?Lenz Grimmer: Wear comfortable shoes and make sure to drink a lot! Also prepare a plan of the sessions you would like to attend beforehand and familiarize yourself with the venue, so you can get to the next talk in time without scrambling to find the location. The good thing about piggybacking on such a large conference like Oracle OpenWorld is that you benefit from the whole infrastructure. For example, there is a nice schedule builder that helps you to keep track of your sessions of interest. Other than that, bring enough business cards and talk to people, build up your network among your peers and other MySQL professionals! Keith Larson: What features of the MySQL 5.6 release do you look forward to the most ?Lenz Grimmer: There has been solid progress in so many areas like the InnoDB Storage Engine, the Optimizer, Replication or Performance Schema, it's hard for me to really highlight anything in particular. All in all, MySQL 5.6 sounds like a very promising release. I'm confident it will follow the tradition that Oracle already established with MySQL 5.5, which received a lot of praise even from very critical members of the MySQL community. If I had to name a single feature, I'm particularly and personally happy that the precise GIS functions have finally made it into a GA release - that was long overdue. Keith Larson:  In your opinion what is the best reason for someone to attend this event?Lenz Grimmer: This conference is an excellent opportunity to get in touch with the key people in the MySQL community and ecosystem and to get facts and information from the domain experts and developers that work on MySQL. The broad range of topics should attract people from a variety of roles and relations to MySQL, beginning with Developers and DBAs, to CIOs considering MySQL as a viable solution for their requirements. Keith Larson: You will be attending MySQL Connect and have some Oracle Linux Demos, do you see a growing demand for MySQL on Oracle Linux ?Lenz Grimmer: Yes! Oracle Linux is our recommended Linux distribution and we have a good relationship to the MySQL engineering group. They use Oracle Linux as a base Linux platform for development and QA, so we make sure that MySQL and Oracle Linux are well tested together. Setting up a MySQL server on Oracle Linux can be done very quickly, and many customers recognize the benefits of using them both in combination.Because Oracle Linux is available for free (including free bug fixes and errata), it's an ideal choice for running MySQL in your data center. You can run the same Linux distribution on both your development/staging systems as well as on the production machines, you decide which of these should be covered by a support subscription and at which level of support. This gives you flexibility and provides some really attractive cost-saving opportunities. Keith Larson: Since I am a Linux user and fan, what is on the horizon for  Oracle Linux?Lenz Grimmer: We're working hard on broadening the ecosystem around Oracle Linux, building up partnerships with ISVs and IHVs to certify Oracle Linux as a fully supported platform for their products. We also continue to collaborate closely with the Linux kernel community on various projects, to make sure that Linux scales and performs well on large systems and meets the demands of today's data centers. These improvements and enhancements will then rolled into the Unbreakable Enterprise Kernel, which is the key ingredient that sets Oracle Linux apart from other distributions. We also have a number of ongoing projects which are making good progress, and I'm sure you'll hear more about this at the upcoming OpenWorld conference :) Keith Larson: What is something that more people should be aware of when it comes to Oracle Linux and MySQL ?Lenz Grimmer: Many people assume that Oracle Linux is just tuned for Oracle products, such as the Oracle Database or our Engineered Systems. While it's of course true that we do a lot of testing and optimization for these workloads, Oracle Linux is and will remain a general-purpose Linux distribution that is a very good foundation for setting up a LAMP-Stack, for example. We also provide MySQL RPM packages for Oracle Linux, so you can easily stay up to date if you need something newer than what's included in the stock distribution.One more thing that is really unique to Oracle Linux is Ksplice, which allows you to apply security patches to the running Linux kernel, without having to reboot. This ensures that your MySQL database server keeps up and running and is not affected by any downtime. Keith Larson: What else would you like to add ?Lenz Grimmer: Thanks again for getting in touch with me, I appreciated the opportunity. I'm looking forward to MySQL Connect and Oracle OpenWorld and to meet you and many other people from the MySQL community that I haven't seen for quite some time! Keith Larson:  Thank you Lenz!

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  • How do I use ffmpeg with live streaming from an IP camera

    - by Murali Hariharan
    My question is very basic because I am a newbie to all these technologies. I have an IP camera connected to my internal network. - "http://192.168.1.20/videostream.cgi?user=admin&pwd=" gives a live streaming view in Firefox or Internet Explorer. Now I want to record the live stream into a video. The parameters to be supplied are begin_time, end_time, format of video etc. How do I accomplish this? I appreciate any guidance. Thanks Murali

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  • App_offline.htm, CSS, images, and aspnet_isapi.dll

    - by LookitsPuck
    Hey all! So, the site I'm working on is using urlrewriting in coordination with aspnet_isapi.dll (everything is mapped to it). I put up my app_offline.htm file, and all the text shows, however, the CSS or images aren't being served. I'm guessing they're being processed by ASP.NET due to the wildcard mapping instead of IIS. Is this correct? If so, how can I allow IIS to serve these files? Furthermore, an issue I can see arising..in the web.config for the rewriter settings: <rewrite url="^~/images/network/(.*)/(.*).jpg$" to="~/services/ImageHandler.ashx?type=$1&amp;id=$2"/> <rewrite url="^~/image/view/(.*).jpg$" to="~/ServePRView.aspx?id=$1"/> <rewrite url="^~/asset/view/(.*).jpg$" to="~/services/ImageHandler.ashx?id=$1&amp;type=asset"/> Thanks for the help all, -Steve

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  • Big Data – Is Big Data Relevant to me? – Big Data Questionnaires – Guest Post by Vinod Kumar

    - by Pinal Dave
    This guest post is by Vinod Kumar. Vinod Kumar has worked with SQL Server extensively since joining the industry over a decade ago. Working on various versions of SQL Server 7.0, Oracle 7.3 and other database technologies – he now works with the Microsoft Technology Center (MTC) as a Technology Architect. Let us read the blog post in Vinod’s own voice. I think the series from Pinal is a good one for anyone planning to start on Big Data journey from the basics. In my daily customer interactions this buzz of “Big Data” always comes up, I react generally saying – “Sir, do you really have a ‘Big Data’ problem or do you have a big Data problem?” Generally, there is a silence in the air when I ask this question. Data is everywhere in organizations – be it big data, small data, all data and for few it is bad data which is same as no data :). Wow, don’t discount me as someone who opposes “Big Data”, I am a big supporter as much as I am a critic of the abuse of this term by the people. In this post, I wanted to let my mind flow so that you can also think in the direction I want you to see these concepts. In any case, this is not an exhaustive dump of what is in my mind – but you will surely get the drift how I am going to question Big Data terms from customers!!! Is Big Data Relevant to me? Many of my customers talk to me like blank whiteboard with no idea – “why Big Data”. They want to jump into the bandwagon of technology and they want to decipher insights from their unexplored data a.k.a. unstructured data with structured data. So what are these industry scenario’s that come to mind? Here are some of them: Financials Fraud detection: Banks and Credit cards are monitoring your spending habits on real-time basis. Customer Segmentation: applies in every industry from Banking to Retail to Aviation to Utility and others where they deal with end customer who consume their products and services. Customer Sentiment Analysis: Responding to negative brand perception on social or amplify the positive perception. Sales and Marketing Campaign: Understand the impact and get closer to customer delight. Call Center Analysis: attempt to take unstructured voice recordings and analyze them for content and sentiment. Medical Reduce Re-admissions: How to build a proactive follow-up engagements with patients. Patient Monitoring: How to track Inpatient, Out-Patient, Emergency Visits, Intensive Care Units etc. Preventive Care: Disease identification and Risk stratification is a very crucial business function for medical. Claims fraud detection: There is no precise dollars that one can put here, but this is a big thing for the medical field. Retail Customer Sentiment Analysis, Customer Care Centers, Campaign Management. Supply Chain Analysis: Every sensors and RFID data can be tracked for warehouse space optimization. Location based marketing: Based on where a check-in happens retail stores can be optimize their marketing. Telecom Price optimization and Plans, Finding Customer churn, Customer loyalty programs Call Detail Record (CDR) Analysis, Network optimizations, User Location analysis Customer Behavior Analysis Insurance Fraud Detection & Analysis, Pricing based on customer Sentiment Analysis, Loyalty Management Agents Analysis, Customer Value Management This list can go on to other areas like Utility, Manufacturing, Travel, ITES etc. So as you can see, there are obviously interesting use cases for each of these industry verticals. These are just representative list. Where to start? A lot of times I try to quiz customers on a number of dimensions before starting a Big Data conversation. Are you getting the data you need the way you want it and in a timely manner? Can you get in and analyze the data you need? How quickly is IT to respond to your BI Requests? How easily can you get at the data that you need to run your business/department/project? How are you currently measuring your business? Can you get the data you need to react WITHIN THE QUARTER to impact behaviors to meet your numbers or is it always “rear-view mirror?” How are you measuring: The Brand Customer Sentiment Your Competition Your Pricing Your performance Supply Chain Efficiencies Predictive product / service positioning What are your key challenges of driving collaboration across your global business?  What the challenges in innovation? What challenges are you facing in getting more information out of your data? Note: Garbage-in is Garbage-out. Hold good for all reporting / analytics requirements Big Data POCs? A number of customers get into the realm of setting a small team to work on Big Data – well it is a great start from an understanding point of view, but I tend to ask a number of other questions to such customers. Some of these common questions are: To what degree is your advanced analytics (natural language processing, sentiment analysis, predictive analytics and classification) paired with your Big Data’s efforts? Do you have dedicated resources exploring the possibilities of advanced analytics in Big Data for your business line? Do you plan to employ machine learning technology while doing Advanced Analytics? How is Social Media being monitored in your organization? What is your ability to scale in terms of storage and processing power? Do you have a system in place to sort incoming data in near real time by potential value, data quality, and use frequency? Do you use event-driven architecture to manage incoming data? Do you have specialized data services that can accommodate different formats, security, and the management requirements of multiple data sources? Is your organization currently using or considering in-memory analytics? To what degree are you able to correlate data from your Big Data infrastructure with that from your enterprise data warehouse? Have you extended the role of Data Stewards to include ownership of big data components? Do you prioritize data quality based on the source system (that is Facebook/Twitter data has lower quality thresholds than radio frequency identification (RFID) for a tracking system)? Do your retention policies consider the different legal responsibilities for storing Big Data for a specific amount of time? Do Data Scientists work in close collaboration with Data Stewards to ensure data quality? How is access to attributes of Big Data being given out in the organization? Are roles related to Big Data (Advanced Analyst, Data Scientist) clearly defined? How involved is risk management in the Big Data governance process? Is there a set of documented policies regarding Big Data governance? Is there an enforcement mechanism or approach to ensure that policies are followed? Who is the key sponsor for your Big Data governance program? (The CIO is best) Do you have defined policies surrounding the use of social media data for potential employees and customers, as well as the use of customer Geo-location data? How accessible are complex analytic routines to your user base? What is the level of involvement with outside vendors and third parties in regard to the planning and execution of Big Data projects? What programming technologies are utilized by your data warehouse/BI staff when working with Big Data? These are some of the important questions I ask each customer who is actively evaluating Big Data trends for their organizations. These questions give you a sense of direction where to start, what to use, how to secure, how to analyze and more. Sign off Any Big data is analysis is incomplete without a compelling story. The best way to understand this is to watch Hans Rosling – Gapminder (2:17 to 6:06) videos about the third world myths. Don’t get overwhelmed with the Big Data buzz word, the destination to what your data speaks is important. In this blog post, we did not particularly look at any Big Data technologies. This is a set of questionnaire one needs to keep in mind as they embark their journey of Big Data. I did write some of the basics in my blog: Big Data – Big Hype yet Big Opportunity. Do let me know if these questions make sense?  Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Vista/7 UAC: how to lower process privileges

    - by Sergey
    Hi all, Is it possible for a process to lower itself from elevated UAC permission back to standard user? If not can the elevated process launch its copy with standard user token and then kill itself? Any code examples (C# preferred)? Details: Problem: - user installs my product (written in C#) - the installer elevates its UAC permission to admin - at the end the installer launches my exe - the exe inherits elevated permissions from admin - the exe mounts network drives which become invisible in Windows Explorer (that runs with regular permissions) Options I considered: 1) break installer into outer exe and inner exe, that runs with elevated permission. The install consists of 1000+ lines of NSIS code and I don't know anything about NSIS 2) mounting drives with lower permissions. If I do it Win Explorer can see the drives but my exe cannot 3) setting EnableLinkedConnection registry option to 1. This is a no-go because it requires PC reboot during the installation. Please help! Sergey

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  • Grails GIS Application

    - by Steve Wall
    Hello, I'm working on an internal IT application monitoring outages for a network with a national footprint in the US. I'm considering overlaying outages by region on a map. Showing outage areas in red for example. The user clicks on the outage area displaying drill down information. The technology stack includes Grails/JBoss/Linux. Are there frameworks that provide the mapping/GIS layer of the display on which I could overly my domain specific information? I've looked into the Google Map API, but am unable to leverage it as this operates behind a firewall. Any ideas? Thanks in advance, Steve

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  • SQL SERVER – 5 Tips for Improving Your Data with expressor Studio

    - by pinaldave
    It’s no secret that bad data leads to bad decisions and poor results.  However, how do you prevent dirty data from taking up residency in your data store?  Some might argue that it’s the responsibility of the person sending you the data.  While that may be true, in practice that will rarely hold up.  It doesn’t matter how many times you ask, you will get the data however they decide to provide it. So now you have bad data.  What constitutes bad data?  There are quite a few valid answers, for example: Invalid date values Inappropriate characters Wrong data Values that exceed a pre-set threshold While it is certainly possible to write your own scripts and custom SQL to identify and deal with these data anomalies, that effort often takes too long and becomes difficult to maintain.  Instead, leveraging an ETL tool like expressor Studio makes the data cleansing process much easier and faster.  Below are some tips for leveraging expressor to get your data into tip-top shape. Tip 1:     Build reusable data objects with embedded cleansing rules One of the new features in expressor Studio 3.2 is the ability to define constraints at the metadata level.  Using expressor’s concept of Semantic Types, you can define reusable data objects that have embedded logic such as constraints for dealing with dirty data.  Once defined, they can be saved as a shared atomic type and then re-applied to other data attributes in other schemas. As you can see in the figure above, I’ve defined a constraint on zip code.  I can then save the constraint rules I defined for zip code as a shared atomic type called zip_type for example.   The next time I get a different data source with a schema that also contains a zip code field, I can simply apply the shared atomic type (shown below) and the previously defined constraints will be automatically applied. Tip 2:     Unlock the power of regular expressions in Semantic Types Another powerful feature introduced in expressor Studio 3.2 is the option to use regular expressions as a constraint.   A regular expression is used to identify patterns within data.   The patterns could be something as simple as a date format or something much more complex such as a street address.  For example, I could define that a valid IP address should be made up of 4 numbers, each 0 to 255, and separated by a period.  So 192.168.23.123 might be a valid IP address whereas 888.777.0.123 would not be.   How can I account for this using regular expressions? A very simple regular expression that would look for any 4 sets of 3 digits separated by a period would be:  ^[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}$ Alternatively, the following would be the exact check for truly valid IP addresses as we had defined above:  ^(25[0-5]|2[0-4][0-9]|1[0-9]{2}|[1-9]?[0-9])\.(25[0-5]|2[0-4][0-9]|1[0-9]{2}|[1-9]?[0-9])\.(25[0-5]|2[0-4][0-9]|1[0-9]{2}|[1-9]?[0-9])\.(25[0-5]|2[0-4][0-9]|1[0-9]{2}|[1-9]?[0-9])$ .  In expressor, we would enter this regular expression as a constraint like this: Here we select the corrective action to be ‘Escalate’, meaning that the expressor Dataflow operator will decide what to do.  Some of the options include rejecting the offending record, skipping it, or aborting the dataflow. Tip 3:     Email pattern expressions that might come in handy In the example schema that I am using, there’s a field for email.  Email addresses are often entered incorrectly because people are trying to avoid spam.  While there are a lot of different ways to define what constitutes a valid email address, a quick search online yields a couple of really useful regular expressions for validating email addresses: This one is short and sweet:  \b[A-Z0-9._%+-]+@[A-Z0-9.-]+\.[A-Z]{2,4}\b (Source: http://www.regular-expressions.info/) This one is more specific about which characters are allowed:  ^([a-zA-Z0-9_\-\.]+)@((\[[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}\.)|(([a-zA-Z0-9\-]+\.)+))([a-zA-Z]{2,4}|[0-9]{1,3})(\]?)$ (Source: http://regexlib.com/REDetails.aspx?regexp_id=26 ) Tip 4:     Reject “dirty data” for analysis or further processing Yet another feature introduced in expressor Studio 3.2 is the ability to reject records based on constraint violations.  To capture reject records on input, simply specify Reject Record in the Error Handling setting for the Read File operator.  Then attach a Write File operator to the reject port of the Read File operator as such: Next, in the Write File operator, you can configure the expressor operator in a similar way to the Read File.  The key difference would be that the schema needs to be derived from the upstream operator as shown below: Once configured, expressor will output rejected records to the file you specified.  In addition to the rejected records, expressor also captures some diagnostic information that will be helpful towards identifying why the record was rejected.  This makes diagnosing errors much easier! Tip 5:    Use a Filter or Transform after the initial cleansing to finish the job Sometimes you may want to predicate the data cleansing on a more complex set of conditions.  For example, I may only be interested in processing data containing males over the age of 25 in certain zip codes.  Using an expressor Filter operator, you can define the conditional logic which isolates the records of importance away from the others. Alternatively, the expressor Transform operator can be used to alter the input value via a user defined algorithm or transformation.  It also supports the use of conditional logic and data can be rejected based on constraint violations. However, the best tip I can leave you with is to not constrain your solution design approach – expressor operators can be combined in many different ways to achieve the desired results.  For example, in the expressor Dataflow below, I can post-process the reject data from the Filter which did not meet my pre-defined criteria and, if successful, Funnel it back into the flow so that it gets written to the target table. I continue to be impressed that expressor offers all this functionality as part of their FREE expressor Studio desktop ETL tool, which you can download from here.  Their Studio ETL tool is absolutely free and they are very open about saying that if you want to deploy their software on a dedicated Windows Server, you need to purchase their server software, whose pricing is posted on their website. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Windows Explorer argument not being interpreted?

    - by MarceloRamires
    I'm currently using: Process.Start("explorer.exe", "/Select, " + fullPath); //with file name.extension That basically tells windows explorer to open the folder where the file is in, with the given file selected. But, by the forces of evil, sometimes it works and sometimes it just opens the file ("/select" is... ignored) Has anyone ever experienced this? If it changes anything, it's a file in a local network and the path looks like this \\server\folder\subfolder\something\file.ext (of course in c# every '\' is doubled, and @ is not a choice, the path is generated by something else) I'll be constantly reading comments to supply any aditional information

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  • Adaboost algorithm and its usage in face detection

    - by Hani
    I am trying to understand Adaboost algorithm but i have some troubles. After reading about Adaboost i realized that it is a classification algorithm(somehow like neural network). But i could not know how the weak classifiers are chosen (i think they are haar-like features for face detection) and how finally the H result which is the final strong classifier can be used. I mean if i found the alpha values and compute the H ,how am i going to benefit from it as a value (one or zero) for new images. Please is there an example describes it in a perfect way? i found the plus and minus example that is found in most adaboost tutorials but i did not know how exactly hi is chosen and how to adopt the same concept on face detection. I read many papers and i had many ideas but until now my ideas are not well arranged. Thanks....

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  • Exalogic 2.0.1 Tea Break Snippets - Scripting Asset Creation

    - by The Old Toxophilist
    So far in this series we have looked at creating asset within the EMOC BUI but the Exalogic 2.0.1 installation also provide the Iaas cli as an alternative to most of the common functionality available within EMOC. The IaaS cli interface provides access to the functions that are available to a user logged into the BUI with the CloudUser Role. As such not all functionality is available from the command line interface however having said that the IaaS cli provides all the functionality required to create the Assets within a specific Account (Tenure). Because these action are common and repeatable I decided to wrap the functionality within a simple script that takes a simple input file and creates the Asset. Following the Script through will show us the required steps needed to create the various Assets within an Account and hence I will work through the various functions within the script below describing the steps. You will note from the various steps within the script that it is designed to pause between actions allowing the proceeding action to complete. The reason for this is because we could swamp EMOC with a series of actions and may end up with a situation where we are trying to action a Volume attached before the creation of the vServer and Volume have completed. processAssets() This function simply reads through the passed input file identifying what assets need to be created. An example of the input file can be found below. It can be seen that the input file can be used to create Assets in multiple Accounts during a single run. The order of the entries define the functions that need to be actioned as follows: Input Command Iaas Actions Parameters Production:Connect akm-describe-accounts akm-create-access-key iaas-create-key-pair iaas-describe-vnets iaas-describe-vserver-types iaas-describe-server-templates Username Password Production:Create|vServer iaas-run-vserver vServer Name vServer Type Name Template Name Comma separated list of network names which the vServer will connect to. Comma separated list of IPs for the specified networks. Production:Create|Volume iaas-create-volume Volume Name Volume Size Production:Attach|Volume iaas-attach-volumes-to-vserver vServer Name Comma separated list of volume names Production:Disconnect iaas-delete-key-pair akm-delete-access-key None connectToAccount() It can be seen from the connectToAccount function that before we can execute any Asset creation we must first connect to the appropriate account. To do this we will need the ID associated with the Account. This can be found by executing the akm-describe-accounts cli command which will return a list of all Accounts and there IDs. Once we have the Account ID we generate and Access key using the akm-create-access-key command and then a keypair with the iaas-create-key-pair command. At this point we now have all the information we need to access the specific named account. createVServer() This function simply retrieved the information from the input line and then will create the vServer using the iaas-run-vserver cli command. Reading the function you will notice that it takes the various input names for vServer Type, Template and Networks and converts them into the appropriate IDs. The IaaS cli will not work directly with component names and hence all IDs need to be found. createVolume() Function that simply takes the Volume name and Size then executes the iaas-create-volume command to create the volume. attachVolume() Takes the name of the Volume, which we may have just created, and a Volume then identifies the appropriate IDs before assigning the Volume to the vServer with the iaas-attach-volumes-to-vserver. disconnectFromAccount() Once we have finished connecting to the Account we simply remove the key pair with iaas-delete-key-pair and the access key with akm-delete-access-key although it may be useful to keep this if ssh is required and you do not subsequently modify the sshd information to allow unsecured access. By default the key is required for ssh access when a vServer is created from the command-line. CreateAssets.sh 1 export OCCLI=/opt/sun/occli/bin 2 export IAAS_HOME=/opt/oracle/iaas/cli 3 export JAVA_HOME=/usr/java/latest 4 export IAAS_BASE_URL=https://127.0.0.1 5 export IAAS_ACCESS_KEY_FILE=iaas_access.key 6 export KEY_FILE=iaas_access.pub 7 #CloudUser used to create vServers & Volumes 8 export IAAS_USER=exaprod 9 export IAAS_PASSWORD_FILE=root.pwd 10 export KEY_NAME=cli.recreate 11 export INPUT_FILE=CreateAssets.in 12 13 export ACCOUNTS_FILE=accounts.out 14 export VOLUMES_FILE=volumes.out 15 export DISTGRPS_FILE=distgrp.out 16 export VNETS_FILE=vnets.out 17 export VSERVER_TYPES_FILE=vstype.out 18 export VSERVER_FILE=vserver.out 19 export VSERVER_TEMPLATES=template.out 20 export KEY_PAIRS=keypairs.out 21 22 PROCESSING_ACCOUNT="" 23 24 function cleanTempFiles() { 25 rm -f $ACCOUNTS_FILE $VOLUMES_FILE $DISTGRPS_FILE $VNETS_FILE $VSERVER_TYPES_FILE $VSERVER_FILE $VSERVER_TEMPLATES $KEY_PAIRS $IAAS_PASSWORD_FILE $KEY_FILE $IAAS_ACCESS_KEY_FILE 26 } 27 28 function connectToAccount() { 29 if [[ "$ACCOUNT" != "$PROCESSING_ACCOUNT" ]] 30 then 31 if [[ "" != "$PROCESSING_ACCOUNT" ]] 32 then 33 $IAAS_HOME/bin/iaas-delete-key-pair --key-name $KEY_NAME --access-key-file $IAAS_ACCESS_KEY_FILE 34 $IAAS_HOME/bin/akm-delete-access-key $AK 35 fi 36 PROCESSING_ACCOUNT=$ACCOUNT 37 IAAS_USER=$ACCOUNT_USER 38 echo "$ACCOUNT_PASSWORD" > $IAAS_PASSWORD_FILE 39 $IAAS_HOME/bin/akm-describe-accounts --sep "|" > $ACCOUNTS_FILE 40 while read line 41 do 42 ACCOUNT_ID=${line%%|*} 43 line=${line#*|} 44 ACCOUNT_NAME=${line%%|*} 45 # echo "Id = $ACCOUNT_ID" 46 # echo "Name = $ACCOUNT_NAME" 47 if [[ "$ACCOUNT_NAME" == "$ACCOUNT" ]] 48 then 49 echo "Found Production Account $line" 50 AK=`$IAAS_HOME/bin/akm-create-access-key --account $ACCOUNT_ID --access-key-file $IAAS_ACCESS_KEY_FILE` 51 KEYPAIR=`$IAAS_HOME/bin/iaas-create-key-pair --key-name $KEY_NAME --key-file $KEY_FILE` 52 echo "Connected to $ACCOUNT_NAME" 53 break 54 fi 55 done < $ACCOUNTS_FILE 56 fi 57 } 58 59 function disconnectFromAccount() { 60 $IAAS_HOME/bin/iaas-delete-key-pair --key-name $KEY_NAME --access-key-file $IAAS_ACCESS_KEY_FILE 61 $IAAS_HOME/bin/akm-delete-access-key $AK 62 PROCESSING_ACCOUNT="" 63 } 64 65 function getNetworks() { 66 $IAAS_HOME/bin/iaas-describe-vnets --sep "|" > $VNETS_FILE 67 } 68 69 function getVSTypes() { 70 $IAAS_HOME/bin/iaas-describe-vserver-types --sep "|" > $VSERVER_TYPES_FILE 71 } 72 73 function getTemplates() { 74 $IAAS_HOME/bin/iaas-describe-server-templates --sep "|" > $VSERVER_TEMPLATES 75 } 76 77 function getVolumes() { 78 $IAAS_HOME/bin/iaas-describe-volumes --sep "|" > $VOLUMES_FILE 79 } 80 81 function getVServers() { 82 $IAAS_HOME/bin/iaas-describe-vservers --sep "|" > $VSERVER_FILE 83 } 84 85 function getNetworkId() { 86 while read line 87 do 88 NETWORK_ID=${line%%|*} 89 line=${line#*|} 90 NAME=${line%%|*} 91 if [[ "$NAME" == "$NETWORK_NAME" ]] 92 then 93 break 94 fi 95 done < $VNETS_FILE 96 } 97 98 function getVSTypeId() { 99 while read line 100 do 101 VSTYPE_ID=${line%%|*} 102 line=${line#*|} 103 NAME=${line%%|*} 104 if [[ "$VSTYPE_NAME" == "$NAME" ]] 105 then 106 break 107 fi 108 done < $VSERVER_TYPES_FILE 109 } 110 111 function getTemplateId() { 112 while read line 113 do 114 TEMPLATE_ID=${line%%|*} 115 line=${line#*|} 116 NAME=${line%%|*} 117 if [[ "$TEMPLATE_NAME" == "$NAME" ]] 118 then 119 break 120 fi 121 done < $VSERVER_TEMPLATES 122 } 123 124 function getVolumeId() { 125 while read line 126 do 127 export VOLUME_ID=${line%%|*} 128 line=${line#*|} 129 NAME=${line%%|*} 130 if [[ "$NAME" == "$VOLUME_NAME" ]] 131 then 132 break; 133 fi 134 done < $VOLUMES_FILE 135 } 136 137 function getVServerId() { 138 while read line 139 do 140 VSERVER_ID=${line%%|*} 141 line=${line#*|} 142 NAME=${line%%|*} 143 if [[ "$VSERVER_NAME" == "$NAME" ]] 144 then 145 break; 146 fi 147 done < $VSERVER_FILE 148 } 149 150 function getVServerState() { 151 getVServers 152 while read line 153 do 154 VSERVER_ID=${line%%|*} 155 line=${line#*|} 156 NAME=${line%%|*} 157 line=${line#*|} 158 line=${line#*|} 159 VSERVER_STATE=${line%%|*} 160 if [[ "$VSERVER_NAME" == "$NAME" ]] 161 then 162 break; 163 fi 164 done < $VSERVER_FILE 165 } 166 167 function pauseUntilVServerRunning() { 168 # Wait until the Server is running before creating the next 169 getVServerState 170 while [[ "$VSERVER_STATE" != "RUNNING" ]] 171 do 172 getVServerState 173 echo "$NAME $VSERVER_STATE" 174 if [[ "$VSERVER_STATE" != "RUNNING" ]] 175 then 176 echo "Sleeping......." 177 sleep 60 178 fi 179 if [[ "$VSERVER_STATE" == "FAILED" ]] 180 then 181 echo "Will Delete $NAME in 5 Minutes....." 182 sleep 300 183 deleteVServer 184 echo "Deleted $NAME waiting 5 Minutes....." 185 sleep 300 186 break 187 fi 188 done 189 # Lets pause for a minute or two 190 echo "Just Chilling......" 191 sleep 60 192 echo "Ahhhhh we're getting there......." 193 sleep 60 194 echo "I'm almost at one with the universe......." 195 sleep 60 196 echo "Bong Reality Check !" 197 } 198 199 function deleteVServer() { 200 $IAAS_HOME/bin/iaas-terminate-vservers --force --vserver-ids $VSERVER_ID 201 } 202 203 function createVServer() { 204 VSERVER_NAME=${ASSET_DETAILS%%|*} 205 ASSET_DETAILS=${ASSET_DETAILS#*|} 206 VSTYPE_NAME=${ASSET_DETAILS%%|*} 207 ASSET_DETAILS=${ASSET_DETAILS#*|} 208 TEMPLATE_NAME=${ASSET_DETAILS%%|*} 209 ASSET_DETAILS=${ASSET_DETAILS#*|} 210 NETWORK_NAMES=${ASSET_DETAILS%%|*} 211 ASSET_DETAILS=${ASSET_DETAILS#*|} 212 IP_ADDRESSES=${ASSET_DETAILS%%|*} 213 # Get Ids associated with names 214 getVSTypeId 215 getTemplateId 216 # Convert Network Names to Ids 217 NETWORK_IDS="" 218 while true 219 do 220 NETWORK_NAME=${NETWORK_NAMES%%,*} 221 NETWORK_NAMES=${NETWORK_NAMES#*,} 222 getNetworkId 223 if [[ "$NETWORK_IDS" != "" ]] 224 then 225 NETWORK_IDS="$NETWORK_IDS,$NETWORK_ID" 226 else 227 NETWORK_IDS=$NETWORK_ID 228 fi 229 if [[ "$NETWORK_NAME" == "$NETWORK_NAMES" ]] 230 then 231 break 232 fi 233 done 234 # Create vServer 235 echo "About to execute : $IAAS_HOME/bin/iaas-run-vserver --name $VSERVER_NAME --key-name $KEY_NAME --vserver-type $VSTYPE_ID --server-template-id $TEMPLATE_ID --vnets $NETWORK_IDS --ip-addresses $IP_ADDRESSES" 236 $IAAS_HOME/bin/iaas-run-vserver --name $VSERVER_NAME --key-name $KEY_NAME --vserver-type $VSTYPE_ID --server-template-id $TEMPLATE_ID --vnets $NETWORK_IDS --ip-addresses $IP_ADDRESSES 237 pauseUntilVServerRunning 238 } 239 240 function createVolume() { 241 VOLUME_NAME=${ASSET_DETAILS%%|*} 242 ASSET_DETAILS=${ASSET_DETAILS#*|} 243 VOLUME_SIZE=${ASSET_DETAILS%%|*} 244 # Create Volume 245 echo "About to execute : $IAAS_HOME/bin/iaas-create-volume --name $VOLUME_NAME --size $VOLUME_SIZE" 246 $IAAS_HOME/bin/iaas-create-volume --name $VOLUME_NAME --size $VOLUME_SIZE 247 # Lets pause 248 echo "Just Waiting 30 Seconds......" 249 sleep 30 250 } 251 252 function attachVolume() { 253 VSERVER_NAME=${ASSET_DETAILS%%|*} 254 ASSET_DETAILS=${ASSET_DETAILS#*|} 255 VOLUME_NAMES=${ASSET_DETAILS%%|*} 256 # Get vServer Id 257 getVServerId 258 # Convert Volume Names to Ids 259 VOLUME_IDS="" 260 while true 261 do 262 VOLUME_NAME=${VOLUME_NAMES%%,*} 263 VOLUME_NAMES=${VOLUME_NAMES#*,} 264 getVolumeId 265 if [[ "$VOLUME_IDS" != "" ]] 266 then 267 VOLUME_IDS="$VOLUME_IDS,$VOLUME_ID" 268 else 269 VOLUME_IDS=$VOLUME_ID 270 fi 271 if [[ "$VOLUME_NAME" == "$VOLUME_NAMES" ]] 272 then 273 break 274 fi 275 done 276 # Attach Volumes 277 echo "About to execute : $IAAS_HOME/bin/iaas-attach-volumes-to-vserver --vserver-id $VSERVER_ID --volume-ids $VOLUME_IDS" 278 $IAAS_HOME/bin/iaas-attach-volumes-to-vserver --vserver-id $VSERVER_ID --volume-ids $VOLUME_IDS 279 # Lets pause 280 echo "Just Waiting 30 Seconds......" 281 sleep 30 282 } 283 284 function processAssets() { 285 while read line 286 do 287 ACCOUNT=${line%%:*} 288 line=${line#*:} 289 ACTION=${line%%|*} 290 line=${line#*|} 291 if [[ "$ACTION" == "Connect" ]] 292 then 293 ACCOUNT_USER=${line%%|*} 294 line=${line#*|} 295 ACCOUNT_PASSWORD=${line%%|*} 296 connectToAccount 297 298 ## Account Info 299 getNetworks 300 getVSTypes 301 getTemplates 302 303 continue 304 fi 305 if [[ "$ACTION" == "Create" ]] 306 then 307 ASSET=${line%%|*} 308 line=${line#*|} 309 ASSET_DETAILS=$line 310 if [[ "$ASSET" == "vServer" ]] 311 then 312 createVServer 313 314 continue 315 fi 316 if [[ "$ASSET" == "Volume" ]] 317 then 318 createVolume 319 320 continue 321 fi 322 fi 323 if [[ "$ACTION" == "Attach" ]] 324 then 325 ASSET=${line%%|*} 326 line=${line#*|} 327 ASSET_DETAILS=$line 328 if [[ "$ASSET" == "Volume" ]] 329 then 330 getVolumes 331 getVServers 332 attachVolume 333 334 continue 335 fi 336 fi 337 if [[ "$ACTION" == "Connect" ]] 338 then 339 disconnectFromAccount 340 341 continue 342 fi 343 done < $INPUT_FILE 344 } 345 346 # Should Parameterise this 347 348 while [ $# -gt 0 ] 349 do 350 case "$1" in 351 -a) INPUT_FILE="$2"; shift;; 352 *) echo ""; echo >&2 \ 353 "usage: $0 [-a <Asset Definition File>] (Default is CreateAssets.in)" 354 echo""; exit 1;; 355 *) break;; 356 esac 357 shift 358 done 359 360 361 362 363 processAssets 364 365 echo "**************************************" 366 echo "***** Finished Creating Assets *****" 367 echo "**************************************" 368 CreateAssetsProd.in Production:Connect|exaprod|welcome1 Production:Create|vServer|VS006|VSTProduction|BaseOEL56ServerTemplate|EoIB-otd-prod,vn-prod-web,IPoIB-default,IPoIB-vserver-shared-storage|10.51.223.13,192.168.0.13,10.117.81.67,172.17.0.14 Production:Create|vServer|VS007|VSTProduction|BaseOEL56ServerTemplate|EoIB-otd-prod,vn-prod-web,IPoIB-default,IPoIB-vserver-shared-storage|10.51.223.14,192.168.0.14,10.117.81.68,172.17.0.15 Production:Create|vServer|VS008|VSTProduction|BaseOEL56ServerTemplate|EoIB-wls-prod,vn-prod-web,IPoIB-default,IPoIB-vserver-shared-storage|10.51.225.61,192.168.0.61,10.117.81.61,172.17.0.16 Production:Create|vServer|VS009|VSTProduction|BaseOEL56ServerTemplate|EoIB-wls-prod,vn-prod-web,IPoIB-default,IPoIB-vserver-shared-storage|10.51.225.62,192.168.0.62,10.117.81.62,172.17.0.17 Production:Create|vServer|VS000|VSTProduction|BaseOEL56ServerTemplate|EoIB-wls-prod,vn-prod-web,IPoIB-default,IPoIB-vserver-shared-storage|10.51.225.63,192.168.0.63,10.117.81.63,172.17.0.18 Production:Create|vServer|VS001|VSTProduction|BaseOEL56ServerTemplate|EoIB-wls-prod,vn-prod-web,IPoIB-default,IPoIB-vserver-shared-storage|10.51.225.64,192.168.0.64,10.117.81.64,172.17.0.19 Production:Create|vServer|VS002|VSTProduction|BaseOEL56ServerTemplate|EoIB-wls-prod,vn-prod-web,IPoIB-default,IPoIB-vserver-shared-storage|10.51.225.65,192.168.0.65,10.117.81.65,172.17.0.20 Production:Create|vServer|VS003|VSTProduction|BaseOEL56ServerTemplate|EoIB-wls-prod,vn-prod-web,IPoIB-default,IPoIB-vserver-shared-storage|10.51.225.66,192.168.0.66,10.117.81.66,172.17.0.21 Production:Create|Volume|VS006|50 Production:Create|Volume|VS007|50 Production:Create|Volume|VS008|50 Production:Create|Volume|VS009|50 Production:Create|Volume|VS000|50 Production:Create|Volume|VS001|50 Production:Create|Volume|VS002|50 Production:Create|Volume|VS003|50 Production:Attach|Volume|VS006|VS006 Production:Attach|Volume|VS007|VS007 Production:Attach|Volume|VS008|VS008 Production:Attach|Volume|VS009|VS009 Production:Attach|Volume|VS000|VS000 Production:Attach|Volume|VS001|VS001 Production:Attach|Volume|VS002|VS002 Production:Attach|Volume|VS003|VS003 Production:Disconnect Development:Connect|exadev|welcome1 Development:Create|vServer|VS014|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.24,10.117.81.71,172.17.0.24 Development:Create|vServer|VS015|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.25,10.117.81.72,172.17.0.25 Development:Create|vServer|VS016|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.26,10.117.81.73,172.17.0.26 Development:Create|vServer|VS017|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.27,10.117.81.74,172.17.0.27 Development:Create|vServer|VS018|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.28,10.117.81.75,172.17.0.28 Development:Create|vServer|VS019|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.29,10.117.81.76,172.17.0.29 Development:Create|vServer|VS020|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.30,10.117.81.77,172.17.0.30 Development:Create|vServer|VS021|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.31,10.117.81.78,172.17.0.31 Development:Create|vServer|VS022|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.32,10.117.81.79,172.17.0.32 Development:Create|vServer|VS023|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.33,10.117.81.80,172.17.0.33 Development:Create|vServer|VS024|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.34,10.117.81.81,172.17.0.34 Development:Create|vServer|VS025|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.35,10.117.81.82,172.17.0.35 Development:Create|vServer|VS026|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.36,10.117.81.83,172.17.0.36 Development:Create|vServer|VS027|VSTDevelopment|BaseOEL56ServerTemplate|EoIB-development,IPoIB-default,IPoIB-vserver-shared-storage|10.51.224.37,10.117.81.84,172.17.0.37 Development:Create|Volume|VS014|50 Development:Create|Volume|VS015|50 Development:Create|Volume|VS016|50 Development:Create|Volume|VS017|50 Development:Create|Volume|VS018|50 Development:Create|Volume|VS019|50 Development:Create|Volume|VS020|50 Development:Create|Volume|VS021|50 Development:Create|Volume|VS022|50 Development:Create|Volume|VS023|50 Development:Create|Volume|VS024|50 Development:Create|Volume|VS025|50 Development:Create|Volume|VS026|50 Development:Create|Volume|VS027|50 Development:Attach|Volume|VS014|VS014 Development:Attach|Volume|VS015|VS015 Development:Attach|Volume|VS016|VS016 Development:Attach|Volume|VS017|VS017 Development:Attach|Volume|VS018|VS018 Development:Attach|Volume|VS019|VS019 Development:Attach|Volume|VS020|VS020 Development:Attach|Volume|VS021|VS021 Development:Attach|Volume|VS022|VS022 Development:Attach|Volume|VS023|VS023 Development:Attach|Volume|VS024|VS024 Development:Attach|Volume|VS025|VS025 Development:Attach|Volume|VS026|VS026 Development:Attach|Volume|VS027|VS027 Development:Disconnect This entry was originally posted on the The Old Toxophilist Site.

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  • TimeoutException in simultaneous calls to WCF services from Silverlight application

    - by Alexander K.
    Analysing log files I've noticed that ~1% of service calls ended with TimeoutException on the Silverlight client side. The services (wcf) are quite simple and do not perform long computations. According the log all calls to the services are always processed in less that 1 sec (even when TimeoutException is occurred on the client!), so it is not server timeout. So what is wrong? Can it be configuration or network problem? How can I avoid it? What additional logging information can be helpful for localizing this issue? The only one workaround I've thought up is to retry service calls after timeout. I will appreciate any help on this issue! Update: On startup the application performs 17 service calls and 12 of them simultaneously (may it be cause of failure?). Update: WCF log has not contained useful information about this issue. It seems some service calls do not reach the server side.

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  • Company Review: Google Products

    Google, Inc offers an array of products and services to all of its end-users. However their search capabilities are the foundation for Google’s current success and their primary business focus. Currently, Google offers over twenty different search applications that allow users to search the internet for books, maps, videos, images, products and much more. Their product decisions have allowed users demands to be met while focusing on the free based model. This allows users to access Google data free of charge and indirectly gives Google a strong competitive advantage of other competitors along with the accuracy of the search results. According to Google, Inc, they offer the following types of searching capabilities: Alerts Get email updates on the topics of your choice Blog Search Find blogs on your favorite topics  Books Search the full text of books  Custom Search Create a customized search experience for your community  Desktop Search and personalize your computer  Dictionary Search for definitions of words and phrases Directory Search the web, organized by topic or category Earth Explore the world from your computer Finance Business info, news and interactive charts GOOG-411 Find and connect for free with businesses from your phone  Images Search for images on the web Maps View maps and directions News Search thousands of news stories Patent Search Search the full text of US Patents Product Search Search for stuff to buy Scholar Search scholarly papers Toolbar Add a search box to your browser Trends Explore past and present search trends Videos Search for videos on the web Web Search Search billions of web pages Web Search Features Find movies, music, stocks, books and more mapping Google’s free based business model is only one way it differentiates itself from its competition. There is also a strong focus on the accuracy of search results and the speed in which they are returned to the end-user. Quality function deployment (QFD) is a structured method used to help connect user needs to the design features of a project proposed to address those needs. This method is particularly useful in accounting for needs that are not easily articulated or precisely defined according to the U. S. Department of Transportation Federal Highway Administration. Due to the fact that QFD is so customer driven Google is always in a constant state of change in attempt to reengineer its search algorithms, and other dependant systems so that end-users requirements are constantly being met. Value engineering is a key example of this, Google is constantly trying to improve all aspects of its products, improve system maintainability, and system interoperability. Bridgefield Group defines value engineering as an organized methodology that identifies and selects the lowest lifecycle cost options in design, materials and processes that achieves the desired level of performance, reliability and customer satisfaction. In addition, it seeks to remove unnecessary costs in the above areas and is often a joint effort with cross-functional internal teams and relevant suppliers. Common issues that appear when developing large scale systems like Google’s search applications include modular design of a product and/or service and providing accurate value analysis. A design approach that adheres to four fundamental tenets of cohesiveness, encapsulation, self-containment, and high binding to design a system component as an independently operable unit subject to change is how the Open System Joint Task Force defines modular design. More specifically M. S. Schmaltz defines modular software design as having a large collection of statements strung together in one partition of in-line code; we segment or divide the statements into logical groups called modules. Each module performs one or two tasks, and then passes control to another module. By breaking up the code into "bite-sized chunks", so to speak, we are able to better control the flow of data and control. This is especially true in large software systems. Value analysis is a process to evaluate products and services based on effectiveness, safety, and cost. Value analysis involves assessing the quality as well as the cost of a product or service as defined by the Healthcare Financial Management Association.  “Operations Management deals with the design and management of products, processes, services and supply chains. It considers the acquisition, development, and utilization of resources that firms need to deliver the goods and services their clients want.” (MIT,2010) Google, Inc encourages an open environment between all employees, also known as Googlers. This is reinforced by a cross-section team or cross-functional teams comprised from multiple departments assigned to every project so that every department like marketing, finance, and quality assurance has input on every project. In addition, Google is known for their openness to new ideas regardless of the status or seniority of an employee. In fact, Google allows for 20% of an employee’s time can be devoted to developing new ideas and/or pet projects. HumTech.com defines a cross-functional team as a collection of people with varied levels of skills and experience brought together to accomplish a task. As the name implies, Cross-Functional Team members come from different organizational units. Cross-Functional Teams may be permanent or ad hoc. Google’s search application product strategy primarily focuses on mass customization. This is allows Google to create a base search application and allows results to be returned to the end-users quickly based on specific parameters and search settings. In addition, they also store the data that is returned in case other desire the same results based on other end-users supplying the same customized settings. This allows Google to appear to render search results in virtually real-time to the user while allowing for complete customization of the searching criteria. Greg Vogl, a professor at Uganda Martyrs University, defines mass customization as when a business gives its customers the opportunity to tailor its products or services to the customer's specifications. The IT staff at Google play a key role in ensuring that the search application’s product strategy is maintained simply because the IT staff designs, develops, and maintains all of their proprietary applications. In fact, they also maintain all network infrastructure to ensure that it is available to all end-users. References: http://www.google.com/intl/en/options/ http://ops.fhwa.dot.gov/freight/publications/ftat_user_guide/sec5.htm http://www.bridgefieldgroup.com/bridgefieldgroup/glos9.htm#V http://www.acq.osd.mil/osjtf/termsdef.html http://www.cise.ufl.edu/~mssz/Pascal-CGS2462/prog-dsn.html http://www.hfma.org/publications/business_caring_newsletter/exclusives/Supply+and+Inventory+Terms+Defined.htm http://mitsloan.mit.edu/omg/om-definition.php http://www.humtech.com/opm/grtl/ols/ols3.cfm http://www.gregvogl.net/courses/mis1/glossary.htm

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