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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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  • Why "Algorithms" and "Data Structures" are treated as separate disciplines?

    - by Pavel Shved
    This question was the last straw; and I've been wondering for a long time about it, Why do people think about "Algorithms" and "Data structures" as about something that can be separated from each other? I see a lot of evidence that they're separated in programmers' minds. they request "Data Structures & Algorithms" books they refer to "Data Structures" and "Algorithms" as separate university courses they "know Algorithms", but are "weak in Data Structures" (can't find the link, sorry). etc. In my opinion "Data Structures" are algorithms, since the concept of "Data Structure" is about Algorithms to operate data that go in and out of the structures. But the opinion seems not a mainstream. What do I miss?

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  • What are the lesser known but cool data structures ?

    - by f3lix
    There a some data structures around that are really cool but are unknown to most programmers. Which are they? Everybody knows linked lists, binary trees, and hashes, but what about Skip lists, Bloom filters for example. I would like to know more data structures that are not so common, but are worth knowing because they rely on great ideas and enrich a programmer's tool box. PS: I am also interested on techniques like Dancing links which make interesting use of the properties of a common data structure. EDIT: Please try to include links to pages describing the data structures in more detail. Also, try to add a couple of words on why a data structures is cool (as Jonas Kölker already pointed out). Also, try to provide one data-structure per answer. This will allow the better data structures to float to the top based on their votes alone.

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  • Is there a standard practice for storing default application data?

    - by Rox Wen
    Our application includes a default set of data. The default data includes coefficients and other factors that are unlikely to ever change but still need to be update-able by the user. Currently, the original default data is stored as a populated class within the application. Data updates are stored to an external XML file. This design allows us to include a "reset" feature to restore the original default data. Our rationale for not storing defaults externally [e.g. XML file] was to minimize the risk of being altered. The overall volume of data doesn't warrant a database. Is there a standard practice for storing "default" application data?

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  • Can a variable like 'int' be considered a primitive/fundamental data structure?

    - by Ravi Gupta
    A rough definition of a data structure is that it allows you to store data and apply a set of operations on that data while preserving consistency of data before and after the operation. However some people insist that a primitive variable like 'int' can also be considered as a data structure. I get that part where it allows you to store data but I guess the operation part is missing. Primitive variables don't have operations attached to them. So I feel that unless you have a set of operations defined and attached to it you cannot call it a data structure. 'int' doesn't have any operation attached to it, it can be operated upon with a set of generic operators. Please advise if I got something wrong here.

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  • EMEA Analytics & Data Integration Oracle Partner Forum

    - by milomir.vojvodic
    MONDAY 12TH NOVEMBER, 2012 IN LONDON (UK) For Oracle Partners across Europe, Middle East and Africa: come to hear the latest news from Oracle OpenWorld about Oracle BI & Data Integration, and propel your business growth as an Oracle partner. This event should appeal to BI or Data Integration specialized partners, Executives, Sales, Pre-sales and Solution architects: with a choice of participation in the plenary day and then a set of special interest (technical) sessions. The follow on breakout sessions from the 13th November provide deeper dives and technical training for those of you who wish to stay for more detailed and hands-on workshops. Keynote: Andrew Sutherland, SVP Oracle Technology Hot agenda items will include: The Fusion Middleware Stack: Engineered to work together A complete Analytics and Data Integration Solution Architecture: Big Data and Little Data combined In-Memory Analytics for Extreme Insight Latest Product Development Roadmap for Data Integration and Analytics Venue: Oracles London CITY Moorgate Offices Places are limited, Register from this Link Note: Registration for the conference and the deeper dives and technical training is free of charge to OPN member Partners, but you will be responsible for your own travel and hotel expenses. Event Schedule During this event you can learn about partner success stories, participate in an array of break-out sessions, exchange information with other partners and enjoy a vibrant panel discussion. Nov. 12th  : Day 1 Main Plenary Session : Full day, starting 10.30 am.  Oracle Hosted Dinner in the Evening Nov. 13th  onwards Architecture Masterclass : IM Reference Architecture – Big Data and Little Data combined (1 day) BI-Apps Bootcamp  (4-days) Oracle GoldenGate workshop (1 day) Oracle Data Integrator and Oracle Enterprise Data Quality workshop (1 day) For further information and detail download the Agenda (pdf) or contact Michael Hallett at [email protected] and Milomir Vojvodic at [email protected] v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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  • What is the data transfer speeds within the disk, to other devices?

    - by Kumar
    I use Debian 6 on a HP Elitbook 6930 with 2Gigs of RAM. I was copying two AVI files, 1.5 GB in total, and noticed that the data copying was done at the rate of 4MB/sec. When I copy same AVIs to my Western Digital Passport 25G USB plugin drive the data transfer speed is 11+MB/sec. This speed is different if I plugin the drive to different USB ports. Interestingly, at work I also downloaded a 16MB IE8 exe on my virtual xp, run inside Oracle Sun Virtual Box, and it was downloaded AND saved within a second. We have a high speed network at work. :-) Why and how this difference in data speeds is possible?

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  • What's the best way of handling permissions for apache2's user www-data in /var/www ?

    - by gyaresu
    Has anyone got a nice solution for handling files in /var/www/ ? We're running Name Based Virtual Hosts and the apache2 user is 'www-data' We've got two regular users & root. So when messing with files in /var/www ,rather than having to... chown -R www-data:www-data ...all the time, what's a good way of handling this? Supplementary question. How hardcore do you then go on permissions? This one has always been a problem in collaborative development environments. Cheers.

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  • LVM vs RAID0 vs RAID "linear" - Combine 2 disks as one, data recovery?

    - by leto
    Hi there, given two 2TB USB external disks that have to be combined to one 4TB volume and formatted with one big Filesystem (XFS), I have a small question to ask. Does LVM provide better Data recovery, should one disk be unplugged/damaged by being able to recover the data of the still working disk or is everything lost? I would appreciate a solution where only the data of one disk is lost and I can recover the content of the other with the usual filesystem/lvm/raid tools. Is that possible with LVM or RAID "linear"? This is for storing unimportant files that can be retrieved from backup, but I want to save time :) Thank you in advance

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  • [ASP.NET 4.0] Persisting Row Selection in Data Controls

    - by HosamKamel
    Data Control Selection Feature In ASP.NET 2.0: ASP.NET Data Controls row selection feature was based on row index (in the current page), this of course produce an issue if you try to select an item in the first page then navigate to the second page without select any record you will find the same row (with the same index) selected in the second page! In the sample application attached: Select the second row in the books GridView. Navigate to second page without doing any selection You will find the second row in the second page selected. Persisting Row Selection: Is a new feature which replace the old selection mechanism which based on row index to be based on the row data key instead. This means that if you select the third row on page 1 and move to page 2, nothing is selected on page 2. When you move back to page 1, the third row is still selected. Data Control Selection Feature In ASP.NET 3.5 SP1: The Persisting Row Selection was initially supported only in Dynamic Data projects Data Control Selection Feature In ASP.NET 4.0: Persisted selection is now supported for the GridView and ListView controls in all projects. You can enable this feature by setting the EnablePersistedSelection property, as shown below: Important thing to note, once you enable this feature you have to set the DataKeyNames property too because as discussed the full approach is based on the Row Data Key Simple feature but  is a much more natural behavior than the behavior in earlier versions of ASP.NET. Download Demo Project

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  • Oracle Introduces Oracle Communications Data Model to Provide Actionable Insight for Communications

    - by kimberly.billings
    To help communications service providers (CSPs) manage and analyze rapidly growing data volumes cost effectively, Oracle recently introduced the Oracle Communications Data Model (OCDM). With the OCDM, CSPs can achieve rapid time to value by quickly implementing a standards-based enterprise data warehouse that features communications industry-specific reporting, analytics and data mining. The combination of the OCDM, Oracle Exadata and the Oracle Business Intelligence (BI) Foundation represents the most comprehensive data warehouse and BI solution for the communications industry. Hong Kong Broadband Network, the fastest growing and second largest broadband service provider in Hong Kong, enhanced its data warehouse using Oracle Communications Data Model. It went live with OCDM within three months, and has increased its subscriber base by 37 percent in six months and reduced customer churn to less than one percent. Read more about HKBN's use of OCDM. Read more about OCDM var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www."); document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E")); try { var pageTracker = _gat._getTracker("UA-13185312-1"); pageTracker._trackPageview(); } catch(err) {}

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  • Database Developers Can Now Save 20%

    - by stephen.garth
    Database developers can now increase productivity and save money at the same time. For a limited time, Oracle Store is offering a 20% discount on Oracle SQL Developer Data Modeler. Just enter the code SQLDDM at checkout to get the discount. Oracle SQL Developer Data Modeler is an independent, standalone product with a full spectrum of data and database modeling tools and utilities, including modeling for Entity Relationship Diagrams (ERD), Relational (database design), Data Type and Multi-dimensional modeling, full forward and reverse engineering and DDL code generation. SQL Developer Data Modeler can connect to any supported Oracle Database and is platform independent. Save 20% on Oracle SQL Developer Data Modeler at Oracle Store - Discount Code SQLDDM Find out more about Oracle SQL Developer and Oracle SQL Developer Data Modeler var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www."); document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E")); try { var pageTracker = _gat._getTracker("UA-13185312-1"); pageTracker._trackPageview(); } catch(err) {}

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  • Cloud Computing and Data Utilization

    - by Ahsan Alam
    Someone recently asked me “is cloud computing going to change the way we perceive data?”. My first instinct was “off course”; but I restrained myself and thought for a moment. Then my answer was “no”. Why do I feel that way? Technology and business have evolved quite a bit in the past few decades; however, the need to effectively view and utilize data hasn't changed. It is not uncommon to see many organization to rely on multiple database management systems (DBMS). Applications and systems are often built to utilize information from all these data sources, and effectively present them to users. In addition to multiple DBMS, corporations are also housing their systems across numerous data centers. In fact, systems and data can reside anywhere around the world with the advent of globalization. Cloud based systems have simply provided us a different place to maintain our data, nothing more. Hosting costs, security and accessibility are different issues; however, the way we utilize and view these data remains the same.

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  • 'Binary XML' for game data?

    - by bluescrn
    I'm working on a level editing tool that saves its data as XML. This is ideal during development, as it's painless to make small changes to the data format, and it works nicely with tree-like data. The downside, though, is that the XML files are rather bloated, mostly due to duplication of tag and attribute names. Also due to numeric data taking significantly more space than using native datatypes. A small level could easily end up as 1Mb+. I want to get these sizes down significantly, especially if the system is to be used for a game on the iPhone or other devices with relatively limited memory. The optimal solution, for memory and performance, would be to convert the XML to a binary level format. But I don't want to do this. I want to keep the format fairly flexible. XML makes it very easy to add new attributes to objects, and give them a default value if an old version of the data is loaded. So I want to keep with the hierarchy of nodes, with attributes as name-value pairs. But I need to store this in a more compact format - to remove the massive duplication of tag/attribute names. Maybe also to give attributes native types, so, for example floating-point data is stored as 4 bytes per float, not as a text string. Google/Wikipedia reveal that 'binary XML' is hardly a new problem - it's been solved a number of times already. Has anyone here got experience with any of the existing systems/standards? - are any ideal for games use - with a free, lightweight and cross-platform parser/loader library (C/C++) available? Or should I reinvent this wheel myself? Or am I better off forgetting the ideal, and just compressing my raw .xml data (it should pack well with zip-like compression), and just taking the memory/performance hit on-load?

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  • Which would be a better way to load data via ajax

    - by Mike
    I am using google maps and returning html/lat/long from my MySQL database Currently A user picks a business category e.g; "Video Production". an ajax call is sent to a CodeIgniter controller the Controller then queries the db, and returns the following data via JSON Lat/Long of the marker HTML for the popup window this is approximately 34 rows in the database across two tables per business the ajax call receives this data and then plots the marker along with the html onto the map The data that is returned from the controller is one big json object... This is done for all businesses that exist in the Video Production category (currently approx 40 businesses). As you can see, pulling this data for multiple categories (100s of businesses) can get very very taxing on the server. My question is Would it be more beneficial to modify the process flow as such: a user picks a business category e.g; "Video Production". an ajax call is sent to a CodeIgniter controller the controller then queries the database for the location base information lat/long level (used to change marker icon color) This would be a single row per business with several columns the ajax call receives this data and then plots the marker on the map when the user clicks a marker an ajax call is sent to a CodeIgniter Controller the controller queries the database for the HTML and additional data based on business_id and if not, what are some better suggestions to this problem? In summary this means rather than including the HTML and additional data along for each business, only submitting minimal location information and then re-query for that information when each business marker is clicked. Potential Downsides longer load times when a user clicks a marker icon more code?? more queries to the database

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  • Common request: export #Tabular model and data to #PowerPivot

    - by Marco Russo (SQLBI)
    I received this request in many courses, messages and also forum discussions: having an Analysis Services Tabular model, it would be nice being able to extract a correspondent PowerPivot data model. In order of priority, here are the specific feature people (including me) would like to see: Create an empty PowerPivot workbook with the same data model of a Tabular model Change the connections of the tables in the PowerPivot workbook extracting data from the Tabular data model Every table should have an EVALUATE ‘TableName’ query in DAX Apply a filter to data extracted from every table For example, you might want to extract all data for a single country or year or customer group Using the same technique of applying filter used for role based security would be nice Expose an API to automate the process of creating a PowerPivot workbook Use case: prepare one workbook for every employee containing only its data, that he can use offline Common request for salespeople who want a mini-BI tool to use in front of the customer/lead/supplier, regardless of a connection available This feature would increase the adoption of PowerPivot and Tabular (and, therefore, Business Intelligence licenses instead of Standard), and would probably raise the sales of Office 2013 / Office 365 driven by ISV, who are the companies who requests this feature more. If Microsoft would do this, it would be acceptable it only works on Office 2013. But if a third-party will do that, it will make sense (for their revenues) to cover both Excel 2010 and Excel 2013. Another important reason for this feature is that the “Offline cube” feature that you have in Excel is not available when your PivotTable is connected to a Tabular model, but it can only be used when you connect to Analysis Services Multidimensional. If you think this is an important features, you can vote this Connect item.

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  • Generating Deep Arrays: Shallow to Deep, Deep to Shallow or Bad idea?

    - by MobyD
    I'm working on an array structure that will be used as the data source for a report template in a web app. The data comes from relatively complex SQL queries that return one or many rows as one dimensional associative arrays. In the case of many, they are turned into two dimensional indexed array. The data is complex and in some cases there is a lot of it. To save trips to the database (which are extremely expensive in this scenario) I'm attempting to get all of the basic arrays (1 and 2 dimension raw database data) and put them, conditionally, into a single, five level deep array. Organizing the data in PHP seems like a better idea than by using where statements in the SQL. Array Structure Array of years( year => array of types( types => array of information( total => value, table => array of data( index => db array ) ) ) ) My first question is, is this a bad idea. Are arrays like this appropriate for this situation? If this would work, how should I go about populating it? My initial thought was shallow to deep, but the more I work on this, the more I realize that it'd be very difficult to abstract out the conditionals that determine where each item goes in the array. So it seems that starting from the most deeply nested data may be the approach I should take. If this is array abuse, what alternatives exist?

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  • Getting the relational table data into XML recursively

    - by Tom
    I have levels of tables (Level1, Level2, Level3, ...) For simplicity, we'll say I have 3 levels. The rows in the higher level tables are parents of lower level table rows. The relationship does not skip levels however. E.g. Row1Level1 is parent of Row3Level2, Row2Level2 is parent of Row4Level3. Level(n-1)'s parent is always be in Level(n). Given these tables with data, I need to come up with a recursive function that generates an XML file to represent the relationship and the data. E.g. <data> <level levelid = 1 rowid=1> <level levelid = 2 rowid=3 /> </level> <level levelid = 2 rowid=2> <level levelid = 3 rowid=4 /> </level> </data> I would like help with coming up with a pseudo-code for this setup. This is what I have so far: XElement GetXMLData(Table table, string identifier, XElement data) { XElement xmlData = data; if (table != null) { foreach (row in the table) { // Get subordinate table Table subordinateTable = GetSubordinateTable(table); // Get the XML Data for the children of current row xmlData += GetXMLData(subordinateTable, row.Identifier, xmlData); } } return xmlData; }

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  • Field symbol and Data reference in SAP-ABAP

    - by PDP-21
    If we compare field symbol and data refernece with that of the pointer in C i concluded that :- In C language, Say we declare a variable "var" type "Integer" with default value "5". The variable "var" will be stored some where in the memory and say the memory address which holds this variable is "1000". Now we define a pointer "ptr" and this pointer is assigned to our variable. So, "&ptr" will be "1000" and " *ptr " will be 5. Lets comapre the above situation in SAP ABAP. Here we declare a Field symbol "FS" and assign that to the variable "var". Now my question is what "FS" holds ? I have searched this rigorously in the internet but found out many ABAP consultants have the opinion that FS holds the address of the variable i.e. 1000. But that is wrong. While debugging i found out that fs holds only 5. So fs (in ABAP) is equivalent to *ptr (in C). Please correct me if my understanding is wrong. Now lets declare a data reference "dref" and another filed symbol "fsym" and after creating the data reference we assign the same to field symbol . Now we can do operations on this field symbol. So the difference between data refernec and field symbol is :- in case of field symbol first we will declare a variable and assign it to a field symbol. in case of data reference first we craete a data reference and then assign that to field symbol. Then what is the use of data reference? The same functionality we can achive through field symbol also.

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  • How should I structure my database to gain maximum efficiently in this scenario?

    - by Bob Jansen
    I'm developing a PHP script that analyzes the web traffic of my clients websites. By placing a link to a javascript on the clients website (think of Google Analyses), my script harvests information like: the visitors IP address, reference link, current page link, user agent, etc. Now my clients can view these statistics via a control panel that I have build. These clients can also adjust profile settings, set firewall rules, create support tickets and pay invoices. Currently all the the traffic is stored in one table. You can imagine that this tabel would become very large as some my clients receive thousands of pageviews per day. Furthermore, all the traffic data of each client would be stored in the same table, creating a mess. This is the same for the firewall rules currently, and the invoice and support system. I'm looking for way to structure my database in a more organized way to hold large amounts of data of multiple users. This is the first project that I'm developing that deals with so much data, and would like to hear suggestions and tips. I was thinking of using multiple databases to structure the data. The main database will store users data (email,pass,id,etc) admin/website settings. Than each client will have an unique database labeled prefix_userid, which carry tables holding their traffic, invoice, and support ticket data. Would this be a solution, and would it slow down or speed up overall performances (that is spreading the data over muliple databases). I have a solid VPS, but would like to safe and be as effient as possible.

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  • Displaying a Paged Grid of Data in ASP.NET MVC

    This article demonstrates how to display a paged grid of data in an ASP.NET MVC application and builds upon the work done in two earlier articles: Displaying a Grid of Data in ASP.NET MVC and Sorting a Grid of Data in ASP.NET MVC. Displaying a Grid of Data in ASP.NET MVC started with creating a new ASP.NET MVC application in Visual Studio, then added the Northwind database to the project and showed how to use Microsoft's Linq-to-SQL tool to access data from the database. The article then looked at creating a Controller and View for displaying a list of product information (the Model). Sorting a Grid of Data in ASP.NET MVC enhanced the application by adding a view-specific Model (ProductGridModel) that provided the View with the sorted collection of products to display along with sort-related information, such as the name of the database column the products were sorted by and whether the products were sorted in ascending or descending order. The Sorting a Grid of Data in ASP.NET MVC article also walked through creating a partial view to render the grid's header row so that each column header was a link that, when clicked, sorted the grid by that column. In this article we enhance the view-specific Model (ProductGridModel) to include paging-related information to include the current page being viewed, how many records to show per page, and how many total records are being paged through. Next, we create an action in the Controller that efficiently retrieves the appropriate subset of records to display and then complete the exercise by building a View that displays the subset of records and includes a paging interface that allows the user to step to the next or previous page, or to jump to a particular page number, we create and use a partial view that displays a numeric paging interface Like with its predecessors, this article offers step-by-step instructions and includes a complete, working demo available for download at the end of the article. Read on to learn more! Read More >

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  • A Cost Effective Solution to Securing Retail Data

    - by MichaelM-Oracle
    By Mike Wion, Director, Security Solutions, Oracle Consulting Services As so many noticed last holiday season, data breaches, especially those at major retailers, are now a significant risk that requires advance preparation. The need to secure data at all access points is now driven by an expanding privacy and regulatory environment coupled with an increasingly dangerous world of hackers, insider threats, organized crime, and other groups intent on stealing valuable data. This newly released Oracle whitepaper entitled Cost Effective Security Compliance with Oracle Database 12c outlines a powerful story related to a defense in depth, multi-layered, security model that includes preventive, detective, and administrative controls for data security. At Oracle Consulting Services (OCS), we help to alleviate the fears of massive data breach by providing expert services to assist our clients with the planning and deployment of Oracle’s Database Security solutions. With our deep expertise in Oracle Database Security, Oracle Consulting can help clients protect data with the security solutions they need to succeed with architecture/planning, implementation, and expert services; which, in turn, provide faster adoption and return on investment with Oracle solutions. On June 10th at 10:00AM PST , Larry Ellison will present an exclusive webcast entitled “The Future of Database Begins Soon”. In this webcast, Larry will launch the highly anticipated Oracle Database In-Memory technology that will make it possible to perform true real-time, ad-hoc, analytic queries on your organization’s business data as it exists at that moment and receive the results immediately. Imagine real-time analytics available across your existing Oracle applications! Click here to download the whitepaper entitled Cost Effective Security Compliance with Oracle Database 12c.

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  • filtering dates in a data view webpart when using webservices datasource

    - by Patrick Olurotimi Ige
    I was working on a data view web part recently and i had  to filter the data based on dates.Since the data source was web services i couldn't use  the Offset which i blogged about earlier.When using web services to pull data in sharepoint designer you would have to use xpath.So for example this is the soap that populates the rows<xsl:variable name="Rows" select="/soap:Envelope/soap:Body/ddw1:GetListItemsResponse/ddw1:GetListItemsResult/ddw1:listitems/rs:data/z:row/>But you would need to add some predicate [] and filter the date nodes.So you can do something like this (marked in red)<xsl:variable name="Rows" select="/soap:Envelope/soap:Body/ddw1:GetListItemsResponse/ddw1:GetListItemsResult/ddw1:listitems/rs:data/z:row[ddwrt:FormatDateTime(string(@ows_Created),1033,'yyyyMMdd') &gt;= ddwrt:FormatDateTime(string(substring-after($fd,'#')),1033,'yyyyMMdd')]"/>For the filtering to work you need to have the date formatted  above as yyyyMMdd.One more thing you must have noticed is the $fd variable.This variable is created by me creating a calculated column in the list so something like this [Created]-2So basically that the xpath is doing is get me data only when the Created date  is greater than or equal to the Created date -2 which is 2 date less than the created date.Also not that when using web services in sharepoint designer and try to use the default filtering you won't get to see greater tha or less than in the option list comparison.:(Hope this helps.

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  • Methods for getting static data from obj-c to Parse (database)

    - by Phil
    I'm starting out thinking out how best to code my latest game on iOS, and I want to use parse.com to store pretty much everything, so I can easily change things. What I'm not sure about is how to get static data into parse, or at least the best method. I've read about using NSMutableDictionary, pLists, JSON, XML files etc. Let's say for example in AS3 I could create a simple data object like so... static var playerData:Object = {position:{startX:200, startY:200}}; Stick it in a static class, and bingo I've got my static data to use how I see fit. Basically I'm looking for the best method to do the same thing in Obj-c, but the data is not to be stored directly in the iOS game, but to be sent to parse.com to be stored on their database there. The game (at least the distribution version) will only load data from the parse database, so however I'm getting the static data into parse I want to be able to remove it from being included in the eventual iOS file. So any ideas on the best methods to sort that? If I had longer on this project, it might be nice to use storyboards and create a simple game editor to send data to parse....actually maybe that's a good idea, it's just I'm new to obj-c and I'm looking for the most straightforward (see quickest) way to achieve things. Thanks for any advice.

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  • Do you have a data roadmap?

    - by BuckWoody
    I often visit companies where they asked me “What is SQL Server’s Roadmap?” What they mean is that they want to know where Microsoft is going with our database products. I explain that we’re expanding not only the capacities in SQL Server but the capabilities – we’re trying to make an “information platform”, rather than just a data store. But it’s interesting when I ask the same question back. “What is your data roadmap?” Most folks are surprised by the question, thinking only about storage and archival. To them, data is data. Ah, not so. Your data is one of the most valuable, if not the most valuable asset in your organization. And you should be thinking about how you’ll acquire it, how it will be distributed, how you’ll archive it (which includes more than just backing it up) and most importantly, how you’ll leverage it. Because it’s only when data becomes information that it is truly useful. to be sure, the folks on the web that collect lots of data have a strategy for it – do you? Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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