Search Results

Search found 144001 results on 5761 pages for 'sql server data tools'.

Page 180/5761 | < Previous Page | 176 177 178 179 180 181 182 183 184 185 186 187  | Next Page >

  • Handling inheritance with overriding efficiently

    - by Fyodor Soikin
    I have the following two data structures. First, a list of properties applied to object triples: Object1 Object2 Object3 Property Value O1 O2 O3 P1 "abc" O1 O2 O3 P2 "xyz" O1 O3 O4 P1 "123" O2 O4 O5 P1 "098" Second, an inheritance tree: O1 O2 O4 O3 O5 Or viewed as a relation: Object Parent O2 O1 O4 O2 O3 O1 O5 O3 O1 null The semantics of this being that O2 inherits properties from O1; O4 - from O2 and O1; O3 - from O1; and O5 - from O3 and O1, in that order of precedence. NOTE 1: I have an efficient way to select all children or all parents of a given object. This is currently implemented with left and right indexes, but hierarchyid could also work. This does not seem important right now. NOTE 2: I have tiggers in place that make sure that the "Object" column always contains all possible objects, even when they do not really have to be there (i.e. have no parent or children defined). This makes it possible to use inner joins rather than severely less effiecient outer joins. The objective is: Given a pair of (Property, Value), return all object triples that have that property with that value either defined explicitly or inherited from a parent. NOTE 1: An object triple (X,Y,Z) is considered a "parent" of triple (A,B,C) when it is true that either X = A or X is a parent of A, and the same is true for (Y,B) and (Z,C). NOTE 2: A property defined on a closer parent "overrides" the same property defined on a more distant parent. NOTE 3: When (A,B,C) has two parents - (X1,Y1,Z1) and (X2,Y2,Z2), then (X1,Y1,Z1) is considered a "closer" parent when: (a) X2 is a parent of X1, or (b) X2 = X1 and Y2 is a parent of Y1, or (c) X2 = X1 and Y2 = Y1 and Z2 is a parent of Z1 In other words, the "closeness" in ancestry for triples is defined based on the first components of the triples first, then on the second components, then on the third components. This rule establishes an unambigous partial order for triples in terms of ancestry. For example, given the pair of (P1, "abc"), the result set of triples will be: O1, O2, O3 -- Defined explicitly O1, O2, O5 -- Because O5 inherits from O3 O1, O4, O3 -- Because O4 inherits from O2 O1, O4, O5 -- Because O4 inherits from O2 and O5 inherits from O3 O2, O2, O3 -- Because O2 inherits from O1 O2, O2, O5 -- Because O2 inherits from O1 and O5 inherits from O3 O2, O4, O3 -- Because O2 inherits from O1 and O4 inherits from O2 O3, O2, O3 -- Because O3 inherits from O1 O3, O2, O5 -- Because O3 inherits from O1 and O5 inherits from O3 O3, O4, O3 -- Because O3 inherits from O1 and O4 inherits from O2 O3, O4, O5 -- Because O3 inherits from O1 and O4 inherits from O2 and O5 inherits from O3 O4, O2, O3 -- Because O4 inherits from O1 O4, O2, O5 -- Because O4 inherits from O1 and O5 inherits from O3 O4, O4, O3 -- Because O4 inherits from O1 and O4 inherits from O2 O5, O2, O3 -- Because O5 inherits from O1 O5, O2, O5 -- Because O5 inherits from O1 and O5 inherits from O3 O5, O4, O3 -- Because O5 inherits from O1 and O4 inherits from O2 O5, O4, O5 -- Because O5 inherits from O1 and O4 inherits from O2 and O5 inherits from O3 Note that the triple (O2, O4, O5) is absent from this list. This is because property P1 is defined explicitly for the triple (O2, O4, O5) and this prevents that triple from inheriting that property from (O1, O2, O3). Also note that the triple (O4, O4, O5) is also absent. This is because that triple inherits its value of P1="098" from (O2, O4, O5), because it is a closer parent than (O1, O2, O3). The straightforward way to do it is the following. First, for every triple that a property is defined on, select all possible child triples: select Children1.Id as O1, Children2.Id as O2, Children3.Id as O3, tp.Property, tp.Value from TriplesAndProperties tp -- Select corresponding objects of the triple inner join Objects as Objects1 on Objects1.Id = tp.O1 inner join Objects as Objects2 on Objects2.Id = tp.O2 inner join Objects as Objects3 on Objects3.Id = tp.O3 -- Then add all possible children of all those objects inner join Objects as Children1 on Objects1.Id [isparentof] Children1.Id inner join Objects as Children2 on Objects2.Id [isparentof] Children2.Id inner join Objects as Children3 on Objects3.Id [isparentof] Children3.Id But this is not the whole story: if some triple inherits the same property from several parents, this query will yield conflicting results. Therefore, second step is to select just one of those conflicting results: select * from ( select Children1.Id as O1, Children2.Id as O2, Children3.Id as O3, tp.Property, tp.Value, row_number() over( partition by Children1.Id, Children2.Id, Children3.Id, tp.Property order by Objects1.[depthInTheTree] descending, Objects2.[depthInTheTree] descending, Objects3.[depthInTheTree] descending ) as InheritancePriority from ... (see above) ) where InheritancePriority = 1 The window function row_number() over( ... ) does the following: for every unique combination of objects triple and property, it sorts all values by the ancestral distance from the triple to the parents that the value is inherited from, and then I only select the very first of the resulting list of values. A similar effect can be achieved with a GROUP BY and ORDER BY statements, but I just find the window function semantically cleaner (the execution plans they yield are identical). The point is, I need to select the closest of contributing ancestors, and for that I need to group and then sort within the group. And finally, now I can simply filter the result set by Property and Value. This scheme works. Very reliably and predictably. It has proven to be very powerful for the business task it implements. The only trouble is, it is awfuly slow. One might point out the join of seven tables might be slowing things down, but that is actually not the bottleneck. According to the actual execution plan I'm getting from the SQL Management Studio (as well as SQL Profiler), the bottleneck is the sorting. The problem is, in order to satisfy my window function, the server has to sort by Children1.Id, Children2.Id, Children3.Id, tp.Property, Parents1.[depthInTheTree] descending, Parents2.[depthInTheTree] descending, Parents3.[depthInTheTree] descending, and there can be no indexes it can use, because the values come from a cross join of several tables. EDIT: Per Michael Buen's suggestion (thank you, Michael), I have posted the whole puzzle to sqlfiddle here. One can see in the execution plan that the Sort operation accounts for 32% of the whole query, and that is going to grow with the number of total rows, because all the other operations use indexes. Usually in such cases I would use an indexed view, but not in this case, because indexed views cannot contain self-joins, of which there are six. The only way that I can think of so far is to create six copies of the Objects table and then use them for the joins, thus enabling an indexed view. Did the time come that I shall be reduced to that kind of hacks? The despair sets in.

    Read the article

  • Oracle BI Server Modeling, Part 1- Designing a Query Factory

    - by bob.ertl(at)oracle.com
      Welcome to Oracle BI Development's BI Foundation blog, focused on helping you get the most value from your Oracle Business Intelligence Enterprise Edition (BI EE) platform deployments.  In my first series of posts, I plan to show developers the concepts and best practices for modeling in the Common Enterprise Information Model (CEIM), the semantic layer of Oracle BI EE.  In this segment, I will lay the groundwork for the modeling concepts.  First, I will cover the big picture of how the BI Server fits into the system, and how the CEIM controls the query processing. Oracle BI EE Query Cycle The purpose of the Oracle BI Server is to bridge the gap between the presentation services and the data sources.  There are typically a variety of data sources in a variety of technologies: relational, normalized transaction systems; relational star-schema data warehouses and marts; multidimensional analytic cubes and financial applications; flat files, Excel files, XML files, and so on. Business datasets can reside in a single type of source, or, most of the time, are spread across various types of sources. Presentation services users are generally business people who need to be able to query that set of sources without any knowledge of technologies, schemas, or how sources are organized in their company. They think of business analysis in terms of measures with specific calculations, hierarchical dimensions for breaking those measures down, and detailed reports of the business transactions themselves.  Most of them create queries without knowing it, by picking a dashboard page and some filters.  Others create their own analysis by selecting metrics and dimensional attributes, and possibly creating additional calculations. The BI Server bridges that gap from simple business terms to technical physical queries by exposing just the business focused measures and dimensional attributes that business people can use in their analyses and dashboards.   After they make their selections and start the analysis, the BI Server plans the best way to query the data sources, writes the optimized sequence of physical queries to those sources, post-processes the results, and presents them to the client as a single result set suitable for tables, pivots and charts. The CEIM is a model that controls the processing of the BI Server.  It provides the subject areas that presentation services exposes for business users to select simplified metrics and dimensional attributes for their analysis.  It models the mappings to the physical data access, the calculations and logical transformations, and the data access security rules.  The CEIM consists of metadata stored in the repository, authored by developers using the Administration Tool client.     Presentation services and other query clients create their queries in BI EE's SQL-92 language, called Logical SQL or LSQL.  The API simply uses ODBC or JDBC to pass the query to the BI Server.  Presentation services writes the LSQL query in terms of the simplified objects presented to the users.  The BI Server creates a query plan, and rewrites the LSQL into fully-detailed SQL or other languages suitable for querying the physical sources.  For example, the LSQL on the left below was rewritten into the physical SQL for an Oracle 11g database on the right. Logical SQL   Physical SQL SELECT "D0 Time"."T02 Per Name Month" saw_0, "D4 Product"."P01  Product" saw_1, "F2 Units"."2-01  Billed Qty  (Sum All)" saw_2 FROM "Sample Sales" ORDER BY saw_0, saw_1       WITH SAWITH0 AS ( select T986.Per_Name_Month as c1, T879.Prod_Dsc as c2,      sum(T835.Units) as c3, T879.Prod_Key as c4 from      Product T879 /* A05 Product */ ,      Time_Mth T986 /* A08 Time Mth */ ,      FactsRev T835 /* A11 Revenue (Billed Time Join) */ where ( T835.Prod_Key = T879.Prod_Key and T835.Bill_Mth = T986.Row_Wid) group by T879.Prod_Dsc, T879.Prod_Key, T986.Per_Name_Month ) select SAWITH0.c1 as c1, SAWITH0.c2 as c2, SAWITH0.c3 as c3 from SAWITH0 order by c1, c2   Probably everybody reading this blog can write SQL or MDX.  However, the trick in designing the CEIM is that you are modeling a query-generation factory.  Rather than hand-crafting individual queries, you model behavior and relationships, thus configuring the BI Server machinery to manufacture millions of different queries in response to random user requests.  This mass production requires a different mindset and approach than when you are designing individual SQL statements in tools such as Oracle SQL Developer, Oracle Hyperion Interactive Reporting (formerly Brio), or Oracle BI Publisher.   The Structure of the Common Enterprise Information Model (CEIM) The CEIM has a unique structure specifically for modeling the relationships and behaviors that fill the gap from logical user requests to physical data source queries and back to the result.  The model divides the functionality into three specialized layers, called Presentation, Business Model and Mapping, and Physical, as shown below. Presentation services clients can generally only see the presentation layer, and the objects in the presentation layer are normally the only ones used in the LSQL request.  When a request comes into the BI Server from presentation services or another client, the relationships and objects in the model allow the BI Server to select the appropriate data sources, create a query plan, and generate the physical queries.  That's the left to right flow in the diagram below.  When the results come back from the data source queries, the right to left relationships in the model show how to transform the results and perform any final calculations and functions that could not be pushed down to the databases.   Business Model Think of the business model as the heart of the CEIM you are designing.  This is where you define the analytic behavior seen by the users, and the superset library of metric and dimension objects available to the user community as a whole.  It also provides the baseline business-friendly names and user-readable dictionary.  For these reasons, it is often called the "logical" model--it is a virtual database schema that persists no data, but can be queried as if it is a database. The business model always has a dimensional shape (more on this in future posts), and its simple shape and terminology hides the complexity of the source data models. Besides hiding complexity and normalizing terminology, this layer adds most of the analytic value, as well.  This is where you define the rich, dimensional behavior of the metrics and complex business calculations, as well as the conformed dimensions and hierarchies.  It contributes to the ease of use for business users, since the dimensional metric definitions apply in any context of filters and drill-downs, and the conformed dimensions enable dashboard-wide filters and guided analysis links that bring context along from one page to the next.  The conformed dimensions also provide a key to hiding the complexity of many sources, including federation of different databases, behind the simple business model. Note that the expression language in this layer is LSQL, so that any expression can be rewritten into any data source's query language at run time.  This is important for federation, where a given logical object can map to several different physical objects in different databases.  It is also important to portability of the CEIM to different database brands, which is a key requirement for Oracle's BI Applications products. Your requirements process with your user community will mostly affect the business model.  This is where you will define most of the things they specifically ask for, such as metric definitions.  For this reason, many of the best-practice methodologies of our consulting partners start with the high-level definition of this layer. Physical Model The physical model connects the business model that meets your users' requirements to the reality of the data sources you have available. In the query factory analogy, think of the physical layer as the bill of materials for generating physical queries.  Every schema, table, column, join, cube, hierarchy, etc., that will appear in any physical query manufactured at run time must be modeled here at design time. Each physical data source will have its own physical model, or "database" object in the CEIM.  The shape of each physical model matches the shape of its physical source.  In other words, if the source is normalized relational, the physical model will mimic that normalized shape.  If it is a hypercube, the physical model will have a hypercube shape.  If it is a flat file, it will have a denormalized tabular shape. To aid in query optimization, the physical layer also tracks the specifics of the database brand and release.  This allows the BI Server to make the most of each physical source's distinct capabilities, writing queries in its syntax, and using its specific functions. This allows the BI Server to push processing work as deep as possible into the physical source, which minimizes data movement and takes full advantage of the database's own optimizer.  For most data sources, native APIs are used to further optimize performance and functionality. The value of having a distinct separation between the logical (business) and physical models is encapsulation of the physical characteristics.  This encapsulation is another enabler of packaged BI applications and federation.  It is also key to hiding the complex shapes and relationships in the physical sources from the end users.  Consider a routine drill-down in the business model: physically, it can require a drill-through where the first query is MDX to a multidimensional cube, followed by the drill-down query in SQL to a normalized relational database.  The only difference from the user's point of view is that the 2nd query added a more detailed dimension level column - everything else was the same. Mappings Within the Business Model and Mapping Layer, the mappings provide the binding from each logical column and join in the dimensional business model, to each of the objects that can provide its data in the physical layer.  When there is more than one option for a physical source, rules in the mappings are applied to the query context to determine which of the data sources should be hit, and how to combine their results if more than one is used.  These rules specify aggregate navigation, vertical partitioning (fragmentation), and horizontal partitioning, any of which can be federated across multiple, heterogeneous sources.  These mappings are usually the most sophisticated part of the CEIM. Presentation You might think of the presentation layer as a set of very simple relational-like views into the business model.  Over ODBC/JDBC, they present a relational catalog consisting of databases, tables and columns.  For business users, presentation services interprets these as subject areas, folders and columns, respectively.  (Note that in 10g, subject areas were called presentation catalogs in the CEIM.  In this blog, I will stick to 11g terminology.)  Generally speaking, presentation services and other clients can query only these objects (there are exceptions for certain clients such as BI Publisher and Essbase Studio). The purpose of the presentation layer is to specialize the business model for different categories of users.  Based on a user's role, they will be restricted to specific subject areas, tables and columns for security.  The breakdown of the model into multiple subject areas organizes the content for users, and subjects superfluous to a particular business role can be hidden from that set of users.  Customized names and descriptions can be used to override the business model names for a specific audience.  Variables in the object names can be used for localization. For these reasons, you are better off thinking of the tables in the presentation layer as folders than as strict relational tables.  The real semantics of tables and how they function is in the business model, and any grouping of columns can be included in any table in the presentation layer.  In 11g, an LSQL query can also span multiple presentation subject areas, as long as they map to the same business model. Other Model Objects There are some objects that apply to multiple layers.  These include security-related objects, such as application roles, users, data filters, and query limits (governors).  There are also variables you can use in parameters and expressions, and initialization blocks for loading their initial values on a static or user session basis.  Finally, there are Multi-User Development (MUD) projects for developers to check out units of work, and objects for the marketing feature used by our packaged customer relationship management (CRM) software.   The Query Factory At this point, you should have a grasp on the query factory concept.  When developing the CEIM model, you are configuring the BI Server to automatically manufacture millions of queries in response to random user requests. You do this by defining the analytic behavior in the business model, mapping that to the physical data sources, and exposing it through the presentation layer's role-based subject areas. While configuring mass production requires a different mindset than when you hand-craft individual SQL or MDX statements, it builds on the modeling and query concepts you already understand. The following posts in this series will walk through the CEIM modeling concepts and best practices in detail.  We will initially review dimensional concepts so you can understand the business model, and then present a pattern-based approach to learning the mappings from a variety of physical schema shapes and deployments to the dimensional model.  Along the way, we will also present the dimensional calculation template, and learn how to configure the many additivity patterns.

    Read the article

  • How to analyze 'dbcc memorystatus' result in SQL Server 2008

    - by envykok
    Currently i am facing a sql memory pressure issue. i have run 'dbcc memorystatus', here is part of my result: Memory Manager KB VM Reserved 23617160 VM Committed 14818444 Locked Pages Allocated 0 Reserved Memory 1024 Reserved Memory In Use 0 Memory node Id = 0 KB VM Reserved 23613512 VM Committed 14814908 Locked Pages Allocated 0 MultiPage Allocator 387400 SinglePage Allocator 3265000 MEMORYCLERK_SQLBUFFERPOOL (node 0) KB VM Reserved 16809984 VM Committed 14184208 Locked Pages Allocated 0 SM Reserved 0 SM Committed 0 SinglePage Allocator 0 MultiPage Allocator 408 MEMORYCLERK_SQLCLR (node 0) KB VM Reserved 6311612 VM Committed 141616 Locked Pages Allocated 0 SM Reserved 0 SM Committed 0 SinglePage Allocator 1456 MultiPage Allocator 20144 CACHESTORE_SQLCP (node 0) KB VM Reserved 0 VM Committed 0 Locked Pages Allocated 0 SM Reserved 0 SM Committed 0 SinglePage Allocator 3101784 MultiPage Allocator 300328 Buffer Pool Value Committed 1742946 Target 1742946 Database 1333883 Dirty 940 In IO 1 Latched 18 Free 89 Stolen 408974 Reserved 2080 Visible 1742946 Stolen Potential 1579938 Limiting Factor 13 Last OOM Factor 0 Page Life Expectancy 5463 Process/System Counts Value Available Physical Memory 258572288 Available Virtual Memory 8771398631424 Available Paging File 16030617600 Working Set 15225597952 Percent of Committed Memory in WS 100 Page Faults 305556823 System physical memory high 1 System physical memory low 0 Process physical memory low 0 Process virtual memory low 0 Procedure Cache Value TotalProcs 11382 TotalPages 430160 InUsePages 28 Can you lead me to analyze this result ? Is it a lot execute plan have been cached causing the memory issue or other reasons?

    Read the article

  • Generating the query plan takes 5 minutes, the query itself runs in milliseconds. What's up?

    - by TheImirOfGroofunkistan
    I have a fairly complex (or ugly depending on how you look at it) stored procedure running on SQL Server 2008. It bases a lot of the logic on a view that has a pk table and a fk table. The fk table is left joined to the pk table slightly more than 30 times (the fk table has a poor design - it uses name value pairs that I need to flatten out. Unfortunately, it's 3rd party and I cannot change it). Anyway, it had been running fine for weeks until I periodically noticed a run that would take 3-5 minutes. It turns out that this is the time it takes to generate the query plan. Once the query plan exists and is cached, the stored procedure itself runs very efficiently. Things run smoothly until there is a reason to regenerate and cache the query plan again. Has anyone seen this? Why does it take so long to generate the plan? Are there ways to make it come up with a plan faster?

    Read the article

  • how to rethrow same exception in sql server

    - by Shantanu Gupta
    I want to rethrow same exception in sql server that has been occured in my try block. I am able to throw same message but i want to throw same error. BEGIN TRANSACTION BEGIN TRY INSERT INTO Tags.tblDomain (DomainName, SubDomainId, DomainCode, Description) VALUES(@DomainName, @SubDomainId, @DomainCode, @Description) COMMIT TRANSACTION END TRY BEGIN CATCH declare @severity int; declare @state int; select @severity=error_severity(), @state=error_state(); RAISERROR(@@Error,@ErrorSeverity,@state); ROLLBACK TRANSACTION END CATCH RAISERROR(@@Error, @ErrorSeverity, @state); This line will show error, but i want functionality something like that. This raises error with error number 50000, but i want erron number to be thrown that i am passing @@error, I want to capture this error no at frontend i.e. catch (SqlException ex) { if ex.number==2627 MessageBox.show("Duplicate value cannot be inserted"); } I want this functionality. which can't be achieved using raiseerror. I dont want to give custom error message at back end.

    Read the article

  • Restore Database from MSSql 2008 to MSSql 2005

    - by Nirmal
    Hello... I have created a set of tables (around 20) in MSSql 2008 and entered around 1000 records to appropriate tables. But the issue is that I want that same tables with all the entered data into MSSql 2005 (SQLEXPRESS). Obviously it won't work by taking a backup and restore it into MSSql 2005 as it won't support backward compatibility. Any suggestion would be appreciated.... Thanks in advance....

    Read the article

  • Tools for conceptual website design

    - by Alex Tang
    What tools (apart from Visio) will generate visually pleasing website site maps or diagrams of a conceptual website? We want to present nice diagrams to our client, but we're unsure about where to get started—we're all coders, not designers. Visio shapes or stencils are quite old. What tools are others in the industry using?

    Read the article

  • Concatenate row values T-SQL

    - by Robert
    I am trying to pull together some data for a report and need to concatenate the row values of one of the tables. Here is the basic table structure: Reviews ReviewID ReviewDate Reviewers ReviewerID ReviewID UserID Users UserID FName LName This is a M:M relationship. Each Review can have many Reviewers; each User can be associated with many Reviews. Basically, all I want to see is Reviews.ReviewID, Reviews.ReviewDate, and a concatenated string of the FName's of all the associated Users for that Review (comma delimited). Instead of: ReviewID---ReviewDate---User 1----------12/1/2009----Bob 1----------12/1/2009----Joe 1----------12/1/2009----Frank 2----------12/9/2009----Sue 2----------12/9/2009----Alice Display this: ReviewID---ReviewDate----Users 1----------12/1/2009-----Bob, Joe, Frank 2----------12/9/2009-----Sue, Alice I have found this article describing some ways to do this, but most of these seem to only deal with one table, not multiple; unfortunately, my SQL-fu is not strong enough to adapt these to my circumstances. I am particularly interested in the example on that site which utilizes FOR XML PATH() as that looks the cleanest and most straight forward. SELECT p1.CategoryId, ( SELECT ProductName + ', ' FROM Northwind.dbo.Products p2 WHERE p2.CategoryId = p1.CategoryId ORDER BY ProductName FOR XML PATH('') ) AS Products FROM Northwind.dbo.Products p1 GROUP BY CategoryId; Can anyone give me a hand with this? Any help would be greatly appreciated!

    Read the article

  • converting mysql database to sql server

    - by every_answer_gets_a_point
    i have a mysql database: /* MySQL Data Transfer Source Host: 10.0.0.5 Source Database: jnetdata Target Host: 10.0.0.5 Target Database: jnetdata Date: 5/26/2009 12:27:33 PM */ SET FOREIGN_KEY_CHECKS=0; -- ---------------------------- -- Table structure for chavrusas -- ---------------------------- CREATE TABLE `chavrusas` ( `id` int(11) NOT NULL auto_increment, `date_created` datetime default NULL, `luser_id` int(11) default NULL, `ruser_id` int(11) default NULL, `luser_type` varchar(50) default NULL, `ruser_type` varchar(50) default NULL, `SessionDay` varchar(250) default NULL, `SessionTime` datetime default NULL, `WeeklyReminder` tinyint(1) NOT NULL default '0', `reminder_phone` tinyint(1) NOT NULL default '0', `calling_card` varchar(50) default NULL, `active` tinyint(1) NOT NULL default '0', `notes` mediumtext, `ended` tinyint(1) NOT NULL default '0', `end_date` datetime default NULL, `initiated_by_student` tinyint(1) NOT NULL default '0', `initiated_by_volunteer` tinyint(1) NOT NULL default '0', `student_general_reason` varchar(50) default NULL, `volunteer_general_reason` varchar(50) default NULL, `student_reason` varchar(250) default NULL, `volunteer_reason` varchar(250) default NULL, `student_nli` tinyint(1) NOT NULL default '0', `volunteer_nli` tinyint(1) NOT NULL default '0', `jnet_initiated` tinyint(1) default '0', `belongs_to` varchar(50) default NULL, PRIMARY KEY (`id`) ) ENGINE=MyISAM AUTO_INCREMENT=5913 DEFAULT CHARSET=latin1; -- ---------------------------- -- Table structure for tbluseravailability -- ---------------------------- CREATE TABLE `tbluseravailability` ( `availability_id` int(11) NOT NULL auto_increment, `user_id` int(11) NOT NULL, `weekday_id` int(11) NOT NULL, `timeslot_id` int(11) NOT NULL, PRIMARY KEY (`availability_id`) ) ENGINE=MyISAM AUTO_INCREMENT=10865 DEFAULT CHARSET=latin1; -- ---------------------------- -- Table structure for tblusers -- ---------------------------- CREATE TABLE `tblusers` ( `id` int(11) NOT NULL auto_increment, `password` varchar(50) default NULL, `title` varchar(255) default NULL, `first` varchar(255) default NULL, `last` varchar(255) default NULL, `gender` varchar(255) default NULL, `address` varchar(255) default NULL, `address_2` varchar(255) default NULL, `city` varchar(255) default NULL, `state` varchar(255) default NULL, `postcode` varchar(255) default NULL, `country` varchar(255) default NULL, `email` varchar(255) default NULL, `emailnotes` varchar(255) default NULL, `Home_Phone` varchar(255) default NULL, `Office_Phone` varchar(255) default NULL, `Cell_Phone` varchar(255) default NULL, `Contact_Preference` varchar(255) default NULL, `Birthdate` datetime default NULL, `Age` varchar(255 and it goes on for about 10mb i need to convert it to ms sql, how do i do it?

    Read the article

  • SQL Syntax to count unique users completing a task

    - by Belliez
    I have the following code which shows me what users has completed ticket and this lists each user and the date they close a ticket. i.e. Paul Matt Matt Bob Matt Paul Matt Matt At the moment I manually count each user myself to see their totals for the day. EDIT: Changed output as columns instead of rows: What I have been trying to do is get SQL Server to do this for me i.e. the final result to look like: Paul | 2 Matt | 5 Bob | 1 My code I am currently using is and I would be greatful if someone can help me change this so I can get it outputting something similar to above? DECLARE @StartDate DateTime; DECLARE @EndDate DateTime; -- Date format: YYYY-MM-DD SET @StartDate = '2013-11-06 00:00:00' SET @EndDate = GETDATE() -- Today SELECT (select Username from Membership where UserId = Ticket.CompletedBy) as TicketStatusChangedBy FROM Ticket INNER JOIN TicketStatus ON Ticket.TicketStatusID = TicketStatus.TicketStatusID INNER JOIN Membership ON Ticket.CheckedInBy = Membership.UserId WHERE TicketStatus.TicketStatusName = 'Completed' and Ticket.ClosedDate >= @StartDate --(GETDATE() - 1) and Ticket.ClosedDate <= @EndDate --(GETDATE()-0) ORDER BY Ticket.CompletedBy ASC, Ticket.ClosedDate ASC Thank you for your help and time.

    Read the article

  • T-SQL While Loop and concatenation

    - by JustinT
    I have a SQL query that is supposed to pull out a record and concat each to a string, then output that string. The important part of the query is below. DECLARE @counter int; SET @counter = 1; DECLARE @tempID varchar(50); SET @tempID = ''; DECLARE @tempCat varchar(255); SET @tempCat = ''; DECLARE @tempCatString varchar(5000); SET @tempCatString = ''; WHILE @counter <= @tempCount BEGIN SET @tempID = ( SELECT [Val] FROM #vals WHERE [ID] = @counter); SET @tempCat = (SELECT [Description] FROM [Categories] WHERE [ID] = @tempID); print @tempCat; SET @tempCatString = @tempCatString + '<br/>' + @tempCat; SET @counter = @counter + 1; END When the script runs, @tempCatString outputs as null while @tempCat always outputs correctly. Is there some reason that concatenation won't work inside a While loop? That seems wrong, since incrementing @counter works perfectly. So is there something else I'm missing?

    Read the article

  • Regex expresion in MS SQL

    - by adopilot
    I do not not know much about Regex, I want to try parsing sting from database according to flowing instructions. I know that I am need to use CLR but for begin I want to learn Regex Data in tables look like create table #tempTBL (opis varchar(40)) go insert into #tempTBL select 'C 136' union select 'C 145' union select 'C146' union select 'AK C 182' union select 'C 277' union select 'C-240' union select 'ISPRAVKA PO C 241' And select sting looks like Select reverse( rtrim( ltrim( replace( (substring (reverse(opis) ,0 ,charindex( 'C',reverse(opis) ) ) ) ,'-',' ') ) ) ) as jci from #tempTBL How should looks like my C# code to I repeat this using regex

    Read the article

  • Cannot render images locally with Sql Server 2005 Report Services SOAP service calls

    - by user289146
    I am trying to render images from SSRS 2005 via the SOAP call. When the reports service is installed on the same server as my website, the images generated do not render in the page. However, when I connect to the reporting service URL from the same web code on a separate machine the images render just fine. Is there a dependency that I am missing to allow me to run the web and SSRS on the same box?

    Read the article

  • SQL Cache Dependency not working with Stored Procedure

    - by pjacko
    Hello, I can't get SqlCacheDependency to work with a simple stored proc (SQL Server 2008): create proc dbo.spGetPeteTest as set ANSI_NULLS ON set ANSI_PADDING ON set ANSI_WARNINGS ON set CONCAT_NULL_YIELDS_NULL ON set QUOTED_IDENTIFIER ON set NUMERIC_ROUNDABORT OFF set ARITHABORT ON select Id, Artist, Album from dbo.PeteTest And here's my ASP.NET code (3.5 framework): -- global.asax protected void Application_Start(object sender, EventArgs e) { string connectionString = System.Configuration.ConfigurationManager.ConnectionStrings["MyConn"].ConnectionString; System.Data.SqlClient.SqlDependency.Start(connectionString); } -- Code-Behind private DataTable GetAlbums() { string connectionString = System.Configuration.ConfigurationManager.ConnectionStrings["UnigoConnection"].ConnectionString; DataTable dtAlbums = new DataTable(); using (SqlConnection connection = new SqlConnection(connectionString)) { // Works using select statement, but NOT SP with same text //SqlCommand command = new SqlCommand( // "select Id, Artist, Album from dbo.PeteTest", connection); SqlCommand command = new SqlCommand(); command.Connection = connection; command.CommandType = CommandType.StoredProcedure; command.CommandText = "dbo.spGetPeteTest"; System.Web.Caching.SqlCacheDependency new_dependency = new System.Web.Caching.SqlCacheDependency(command); SqlDataAdapter DA1 = new SqlDataAdapter(); DA1.SelectCommand = command; DataSet DS1 = new DataSet(); DA1.Fill(DS1); dtAlbums = DS1.Tables[0]; Cache.Insert("Albums", dtAlbums, new_dependency); } return dtAlbums; } Anyone have any luck with getting this to work with SPs? Thanks!

    Read the article

  • Storing a set of criteria in another table

    - by bendataclear
    I have a large table with sales data, useful data below: RowID Date Customer Salesperson Product_Type Manufacturer Quantity Value 1 01-06-2004 James Ian Taps Tap Ltd 200 £850 2 02-06-2004 Apple Fran Hats Hats Inc 30 £350 3 04-06-2004 James Lawrence Pencils ABC Ltd 2000 £980 ... Many rows later... ... 185352 03-09-2012 Apple Ian Washers Tap Ltd 600 £80 I need to calculate a large set of targets from table containing values different types, target table is under my control and so far is like: TargetID Year Month Salesperson Target_Type Quantity 1 2012 7 Ian 1 6000 2 2012 8 James 2 2000 3 2012 9 Ian 2 6500 At present I am working out target types using a view of the first table which has a lot of extra columns: SELECT YEAR(Date) , MONTH(Date) , Salesperson , Quantity , CASE WHEN Manufacturer IN ('Tap Ltd','Hats Inc') AND Product_Type = 'Hats' THEN True ELSE False END AS IsType1 , CASE WHEN Manufacturer = 'Hats Inc' AND Product_Type IN ('Hats','Coats') THEN True ELSE False END AS IsType2 ... ... , CASE WHEN Manufacturer IN ('Tap Ltd','Hats Inc') AND Product_Type = 'Hats' THEN True ELSE False END AS IsType24 , CASE WHEN Manufacturer IN ('Tap Ltd','Hats Inc') AND Product_Type = 'Hats' THEN True ELSE False END AS IsType25 FROM SalesTable WHERE [some stuff here] This is horrible to read/debug and I hate it!! I've tried a few different ways of simplifying this but have been unable to get it to work. The closest I have come is to have a third table holding the definition of the types with the values for each field and the type number, this can be joined to the tables to give me the full values but I can't work out a way to cope with multiple values for each field. Finally the question: Is there a standard way this can be done or an easier/neater method other than one column for each type of target? I know this is a complex problem so if anything is unclear please let me know. Edit - What I need to get: At the very end of the process I need to have targets displayed with actual sales: Type Year Month Salesperson TargetQty ActualQty 2 2012 8 James 2000 2809 2 2012 9 Ian 6500 6251 Each row of the sales table could potentially satisfy 8 of the types. Some more points: I have 5 different columns that need to be defined against the targets (or set to NULL to include any value) I have between 30 and 40 different types that need to be defined, several of the columns could contain as many as 10 different values For point 2, if I am using a row for each permutation of values, 2 columns with 10 values each would give me 100 rows for each sales person for each month which is a lot but if this is the only way to define multiple values I will have to do this. Sorry if this makes no sense!

    Read the article

  • SQL Full-Text Indexing Issue

    - by Phil
    UPDATE: I have figured out a way using a form of dynamic sql to fix this problem, thanks anyway for any help. Hi, there is something that I need to accomplish with the use of Full-Text Indexing. This is it: The fact of the matter is when I run a query (with a stored procedure) that looks like (with a parameter (@name) that was obviously defined above (not shown here), this parameter is sent to the stored procedure by an asp.net page, from user input): SELECT Name FROMdbo.UsersTable WHERE FREETEXT(Name, @name) Well, the fact of the matter is that a query like this will return values if, say the parameter @name's value is Joe, and say, there are 10 records of names with Joe in them, but if @name's value is just Jo, then it returns nothing, and this is the problem. Say that there are other records in this table that have Jo in them, like for example, Jole, or John. So the real question is, how do I get it to return values that are not full words, or phrases, but just from part of the word/phrase (like I said above)? Like FREETEXT(Name, @name*), which is not allowed to be used as a query, but, you get the idea. Is there a way to accomplish this? I'm sure there must be, I need to figure this out. Thanks for any help.

    Read the article

  • LINQ to SQL - Left Outer Join with multiple join conditions

    - by dan
    I have the following SQL which I am trying to translate to LINQ: SELECT f.value FROM period as p LEFT OUTER JOIN facts AS f ON p.id = f.periodid AND f.otherid = 17 WHERE p.companyid = 100 I have seen the typical implementation of the left outer join (ie. into x from y in x.DefaultIfEmpty() etc.) but am unsure how to introduce the other join condition ('AND f.otherid = 17') EDIT Why is the 'AND f.otherid = 17' condition part of the JOIN instead of in the WHERE clause? Because f may not exist for some rows and I still want these rows to be included. If the condition is applied in the WHERE clause, after the JOIN - then I don't get the behaviour I want. Unfortunately this: from p in context.Periods join f in context.Facts on p.id equals f.periodid into fg from fgi in fg.DefaultIfEmpty() where p.companyid == 100 && fgi.otherid == 17 select f.value seems to be equivalent to this: SELECT f.value FROM period as p LEFT OUTER JOIN facts AS f ON p.id = f.periodid WHERE p.companyid = 100 && AND f.otherid = 17 which is not quite what I'm after.

    Read the article

  • LINQ Normalizing data

    - by Brennan Mann
    I am using an OMS that stores up to three line items per record in the database. Below is an example of an order containing five line items. Order Header Order Detail Prod 1 Prod 2 Prod 3 Order Detail Prod 4 Prod 5 One order header record and two detail records. My goal is have a one to one relation for details records(i.e., one detail record per line item). In the past, I used an UNION ALL SQL statement to extract the data. Is there a better approcach to this problem using LINQ? Below is my first attempt at using LINQ. Any feedback, suggestions or recommendations would greatly be appreciated. For what I have read, an UNION statement can tax the process? var orderdetail = (from o in context.ORDERSUBHEADs select new { edpNo = o.EDPNOS_001, price = o.EXTPRICES_001, qty = o.ITEMQTYS_001 } ).Union(from o in context.ORDERSUBHEADs select new { edpNo = o.EDPNOS_002, price = o.EXTPRICES_002, qty = o.ITEMQTYS_002 } ).Union(from o in context.ORDERSUBHEADs select new { edpNo = o.EDPNOS_003, price = o.EXTPRICES_003, qty = o.ITEMQTYS_003 });

    Read the article

  • Server Development Tool?

    - by aloneguid
    Hi, For my programming tasks I use about 2-3 remote servers to deploy and run my code against different conditions. This cannot be emulated locally as the server configuration requires powerful hardware. Most of time I need to stop service, update binareis, start service, view logs in realtime, download logs. Currently I'm doing this manually and over time this becomes a real pain in the ass, especially because the environment is not ideal in terms of network badwidth, reliability etc. I just wonder if someone from server programmers have the similar problems and how do you bear with them. Any special tools/hints/secrets?

    Read the article

  • Referencing Entity from external data model - Core Data

    - by Ben Reeves
    I have a external library which includes a core data model, I would like to add a new entity to this model which has a relationship with one of the entities from the library. I know I could modify the original, but is there a way to without needing to pollute the library? I tried just creating a new model with an entity named the same, but that doesn't work: * Terminating app due to uncaught exception 'NSInvalidArgumentException', reason: 'Can't merge models with two different entities named 'Host''

    Read the article

  • How to check for mutual existence of Fields in same table in Two columns

    - by ranabra
    I tried using "Exist" and "IN". Not only did I not succeed, it didn't seem as an efficient solution. Here is a simplified example: TblMyTable WorkerUserName  -  WorkerDegree  -  ManagerUserName  -  ManagerDegree I need a query where there is a mutual connection / existence. What I mean is only where the worker, ex. "John" has a manager named "Mary", and where Mary the manager has a worker named "John". John the worker can have several managers and Mary the manager can have several workers. So the result will be (the order doesn't matter) ideally in one line: John - BSc  --  Mary - M.A. or Mary - M.A.  --  John - BSc The punchline is it's only one table. it is not really managers and workers, this is just a simplification of the situation. In the real situation both are equal, in a Table of names of users working with other users. Database is SQL 2005. Many thanx in advance  

    Read the article

  • SQL Server: A Grouping question that's annoying me

    - by user366729
    I've been working with SQL Server for the better part of a decade, and this grouping (or partitioning, or ranking...I'm not sure what the answer is!) one has me stumped. Feels like it should be an easy one, too. I'll generalize my problem: Let's say I have 3 employees (don't worry about them quitting or anything...there's always 3), and I keep up with how I distribute their salaries on a monthly basis. Month Employee PercentOfTotal -------------------------------- 1 Alice 25% 1 Barbara 65% 1 Claire 10% 2 Alice 25% 2 Barbara 50% 2 Claire 25% 3 Alice 25% 3 Barbara 65% 3 Claire 10% As you can see, I've paid them the same percent in Months 1 and 3, but in Month 2, I've given Alice the same 25%, but Barbara got 50% and Claire got 25%. What I want to know is all the distinct distributions I've ever given. In this case there would be two -- one for months 1 and 3, and one for month 2. I'd expect the results to look something like this (NOTE: the ID, or sequencer, or whatever, doesn't matter) ID Employee PercentOfTotal -------------------------------- X Alice 25% X Barbara 65% X Claire 10% Y Alice 25% Y Barbara 50% Y Claire 25% Seems easy, right? I'm stumped! Anyone have an elegant solution? I just put together this solution while writing this question, which seems to work, but I'm wondering if there's a better way. Or maybe a different way from which I'll learn something. WITH temp_ids (Month) AS ( SELECT DISTINCT MIN(Month) FROM employees_paid GROUP BY PercentOfTotal ) SELECT EMP.Month, EMP.Employee, EMP.PercentOfTotal FROM employees_paid EMP JOIN temp_ids IDS ON EMP.Month = IDS.Month GROUP BY EMP.Month, EMP.Employee, EMP.PercentOfTotal Thanks y'all! -Ricky

    Read the article

< Previous Page | 176 177 178 179 180 181 182 183 184 185 186 187  | Next Page >