This is mainly because the behavior of ETL depends on the type of history that is tracked. This is very similar to Satellite ETL processing, with the difference that the attributes provide context for a business relationship Link and not a business entity Hub. Satellites Driving Key Link Satellites that track the changes between, or across, relationships. This means that other relationships are closed end dated — conceptually if a new relationship is created. This post covers the first defined template; how to load a data delta from the Staging Area into a Link Satellite table, just capturing changes over time for relationship context attributes: Bear in mind that this approach embraces the design decision to record context information in Link Satellites and not in the Link entities themselves. In Data Vault 1.
Query for Max(Date) in Sql Server 2005
Also, you can determine the index storage location by using filegroups or partition schemes to optimize performance. Index Placement on Filegroups or Partitions Schemes As you develop your index design strategy, you should consider the placement of the indexes on the filegroups associated with the database. Careful selection of the filegroup or partition scheme can improve query performance.
By default, indexes are stored in the same filegroup as the base table on which the index is created. A nonpartitioned clustered index and the base table always reside in the same filegroup. However, you can do the following:
The biggest performance risk of an INDEX RANGE SCAN is the leaf node is therefore the golden rule of indexing to keep the scanned index range as small as possible. You can check that by asking yourself where an index scan starts and where it ends.
Collapse the table of content Expand the table of content This documentation is archived and is not being maintained. This documentation is archived and is not being maintained. December 13, Applies To: An application can combine logic and corresponding table designs to track such date effective data. But the valid time state feature makes this task much simpler in Microsoft Dynamics AX. That causes the system to automatically add the ValidFrom and ValidTo columns which track a date range in each row.
The system guarantees that the values in these date or date-time fields remain valid by automatically preventing overlap among date ranges. Each valid time state table relies on an alternate key index. For example, suppose the table manages the relationship between employees and the projects they work on.
One more step
Graph Databases are an in-thing at the moment. This tutorial provides an overview of the new SQL Graph features. Be it social networks, transportation and flight networks, financial traffic routes, fraud detection to website traffic analysis or predicting the likelihood to purchase; Graphs are ubiquitous. Graph Databases are emerging as a strong technology to solve problems in these areas, where relationships are the first-class entities for the application.
It doesn’t look very exciting in SSIS, but the SQL query used in the displayed Execute SQL Task (EST – displayed below) identifies any records that need to be end-dated and also performs the corresponding updates; the selected Expiry Date (the Effective Date from the next record).
This is in SQL Server How to best set up the indexes etc to get the following: Queries of this kind involve searching a table for a range that contains a given constant and plain B-Tree indexes are not good for this query. A B-Tree index or any other index that relies on sorting is efficient for searching a column in a range between a minimal and maximal value an unknown value between two constants. However, this query is just the opposite: If we create the indexes on startDate and endDate and issue a query with a condition like this: There is a special class of indexes: R-Tree indexes, which handle the conditions as described above just perfectly.
In both these systems they can only be defined over geometry data which implies 2-dimensional objects Points, LineStrings and such. There is a way to use these indexes to speed up the query described above see the article behind the link on how to do it in MySQL: In theory, an R-Tree index could be built over 1-dimensional data just as well, but no database of the major four supports it as for now. However, quite a close structure can be implemented using plain B-Tree indexes, and in this article I’ll show how to do it.
I need emplids with max effective date and status of terminated
The mapped entity object is saved as an entity usage in the view object definition. In this way, entity-based view objects cooperate automatically with entity objects to enable a fully updatable data model. The entity-based view object queries just the data needed for the client-facing task and relies on its mapped entity objects to automatically validate and save changes made to its view rows. Like the read-only view object, an entity-based view object encapsulates a SQL query, it can be linked into master-detail hierarchies, and it can be used in the data model of your application modules.
They do not pick up entity-derived default values, they do not reflect pending changes, and they do not reflect updated reference information. In contrast to entity-based view objects, read-only view objects require you to write the query using the SQL query language.
The change is effective only in the specific SQL query. Above I gave you some silly examples The whole point of aliasing is to simplify and shorten the names and .
Wrap-Up Several times a week I’m asked for advice on how to effectively maintain a production database. Sometimes the questions come from DBAs who are implementing new solutions and want help fine-tuning maintenance practices to fit their new databases’ characteristics. More frequently, however, the questions come from people who are not professional DBAs but for one reason or another have been given ownership of and responsibility for a database. I like to call this role the “involuntary DBA.
As with the majority of tasks and procedures in the IT world, there isn’t an easy one-size-fits-all solution for effective database maintenance, but there are some key areas that nearly always need to be addressed. My top five areas of concern are in no particular order of importance: Data and log file management Index fragmentation Corruption detection Backups An unmaintained or poorly maintained database can develop problems in one or more of these areas, which can eventually lead to poor application performance or even downtime and data loss.
In this article, I’ll explain why these issues matter and show you some simple ways to mitigate the problems. Data and Log File Management The first area I always recommend checking when taking over a database concerns the settings related to data and transaction log file management. Specifically, you should make sure that: The data and log files are separated from each other and isolated from everything else as well Auto-growth is configured correctly Instant file initialization is configured Auto-shrink is not enabled and shrink is not part of any maintenance plan When data and log files which ideally should be on separate volumes altogether share a volume with any other application that creates or expands files, there is the potential for file fragmentation.
In data files, excessive file fragmentation can be a small contributing factor in poorly performing queries specifically those that scan very large amounts of data. In log files, it can have a much more significant impact on performance, especially if auto-growth is set to increase each file size only by a very small amount each time it is needed. Log files are internally divided into sections called Virtual Log Files VLFs and the more fragmentation there is in the log file I use the singular here because there is no gain from having multiple log files—there should only be one per database , the more VLFs there are.
11 important database designing rules which I follow
Submitted by Shouvik Basu on Mon, The article is intended for SQL coders, who for might be not be using analytic functions due to unfamiliarity with its cryptic syntax or uncertainty about its logic of operation. Often I see that people tend to reinvent the feature provided by analytic functions by native join and sub-query SQL. This article assumes familiarity with basic Oracle SQL, sub-query, join and group function from the reader.
Using the Merge Statement to populate a historical table with Effective Dating. One of my favorite uses for the MERGE statement introduced in SQL Server is the updating of a historical table. With versions prior to this operation had to be performed in two separate statements. Merge helps us to streamline the process.
Using a CompareValidator to check input is a valid date The CompareValidator can do more than just compare two controls. You can also compare it against several of the main. The problem is the by default, the HtmlEncode property of the boundfield attribute The problem is that if this field is enabled, you can not pass format information to the boundfield control.
That is, if you try the following code, you will not get the desired result. NET around the jQuery. This small client side calendar control is compact, looks nice and is very easy to use and I’ve added it some time back to my control library. This is primarily an update for the jQuery. The biggest changes have to do with the theming integration and the resulting explosion of related resources. If you want to use this component you can check it out a sample and the code here: If you’re in a rush, you can just grab this code and insert it into your application, no understanding is required.
When you have some time ya, right you may want to review the source code.
I Need To Find The Most Recent Effective Date
November 6, Sometimes we need to reduce the granularity of date ranges by combining serveral contiguous rows into one. While this is a common classic SQL problem, I was unable to find an elegant solution that also performs well, and came up with my own. One of these attributes is whether the period is salaried or not.
Oct 15, · C H A P T E R 17 Application Engine An Application Engine program is a set of SQL statements, PeopleCode, • Effective Dating • Reuse Business Logic • Upgrade Support. More benefits to using Application Engine include: • Built-In Restart Logic or Rerun Logic.
It is powerful and multifunctional, yet it can be hard to master. Oftentimes I would find examples of the MERGE statement that just didn’t do what I needed it to do, that is to process a Type 2 slowly changing dimension. Check out this tip to learn more. This solution will walk through the processing over three days. Each day, new and changed records are processed.
Records are first inserted into a staging table and then the MERGE statement will insert new records into the slowly changing dimension table. I suggest that you copy and paste each of the code samples into its own editor window in SQL Server Management Studio for ease of execution. In Code Sample 1 below, we will create our staging table and our slowly changing dimension table. The comments in the T-SQL code will help to explain what is happening throughout the statement.
We will reuse Code Sample 3 throughout this tip. There are two things that need to be noticed. When executing Code Sample 3, only the count of updated records will be shown as “row s affected. Please don’t forget the semicolon at the end. Execute Code Sample 1 to create the tables in this tip.
Frequently Asked PeopleSoft Technical Interview Questions and Answers
General Forum Members Points: First of all, if you have a one-to-many relationship between records in App and records in Details, then your query will process all of the records in Details in a more or less random fashion and leave the corresponding record in App with the value or lack thereof of the last record processed. Is that really what you want?
Jan 13, · MDX and T-SQL combined? Yes. Here is the original article. When it comes to system integration, Microsoft provides such a plethora of options it is far too easy to forget about some of them and/or think about their practical application. This is particularly true of the SQL Server BI stack which is .
What this means is that you can store the older data in a table in Azure SQL Database, but existing queries and applications won’t need to change they won’t have to understand that there are actually two separate objects underneath. But how do you identify which tables are good candidates for this feature?
This will automatically run against your database s and, based on overall size and row count, present a list of tables that are eligible. It will also show when tables have compatibility issues since not all data types, for example, are supported. Note that the database doesn’t currently have to be on SQL Server to perform the analysis but of course you won’t be able to stretch a table on earlier versions. You can download the new Upgrade Advisor Preview 1 here.
I’m going to walk through a Stretch Database analysis so you can see how it works, and list out some of the limitations and other considerations you’ll want to make before stretching a table. Now you will be presented with a list of databases to choose from. For simplicity I’m going to choose AdventureWorks You can save the results here are the export options: But as is, this analysis is not all that useful, as no tables were identified using the default criteria.
Thankfully, we can drag those sliders around; here is what happens when I drop the lower bars to 15 MB in size and 10, rows:
SCD type 2 will store the entire history in the dimension table. As an example consider the customer dimension. The source and target table structures are shown below: The steps involved are: Create the source and dimension tables in the database.
Outer Joins and Effdt June 26, Posted by Duncan in Oracle, PeopleSoft, PeopleTools, SQL. trackback. I was asked by one of our Junior Consultants the best method of outer joining to a table containing Effdt (which you’d want to do a Max Effdt sub-query on).
The early redemption of bonds means that the bonds will have their lifespans cut short. In other words, the bonds will not mature on the stated maturity date listed in the trust indenture. Callable bonds, then, will have an average effective maturity that is less than the stipulated maturity if called. The average effective maturity can be described as the length of time it takes for a bond to reach maturity, taking into consideration that an action such as a call or refunding may cause some bonds to be repaid before they mature.
The longer the average maturity, the more a fund’s share price will move up or down in response to changes in interest rates read our term on duration. Bond Portfolio A bond portfolio consists of several bonds with different maturities.