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  • How can I set default seed for all identities within a SQL Server database?

    - by Brandon DuRette
    Is there a way to tell SQL server to use specific default seed value for IDENTITY columns - assuming the (to be run) CREATE TABLE statements do not specify one? I don't really care about altering existing data or altering the seed values for specific IDENTITY columns. I want the same seed for all newly created identity columns. Assume I cannot modify the individual CREATE TABLE statements in any way.

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  • How to check results of LINQ to SQL query?

    - by rem
    In a WPF app I'd like to check if a return of a LINQ to SQL query contains some records, but my approach doesn't work: TdbDataContext context = new TdbDataContext(); var sh = from p in context.Items where p.Selected == true select p; if (sh == null) { MessageBox.Show("There are no Selected Items"); } Where am I wrong?

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  • In SQL Server 2005, how can I use database_b, do something, then use the old db database_a in TSQL?

    - by Yousui
    Hi guys, In SQL Server 2005, how can I use database_b, do something, then use the old db database_a in TSQL? The following is my code but there is some problem with it. Who can help me to identity the problem? Great thanks. DECLARE @old_database_name VARCHAR(200) SET @old_database_name = db_name() use mydatabase create table t1(id int identity(1,1)) use @old_database_name

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  • More efficient SQL than using "A UNION (B in A)"?

    - by machinatus
    Edit 1 (clarification): Thank you for the answers so far! The response is gratifying. I want to clarify the question a little because based on the answers I think I did not describe one aspect of the problem correctly (and I'm sure that's my fault as I was having a difficult time defining it even for myself). Here's the rub: The result set should contain ONLY the records with tstamp BETWEEN '2010-01-03' AND '2010-01-09', AND the one record where the tstamp IS NULL for each order_num in the first set (there will always be one with null tstamp for each order_num). The answers given so far appear to include all records for a certain order_num if there are any with tstamp BETWEEN '2010-01-03' AND '2010-01-09'. For example, if there were another record with order_num = 2 and tstamp = 2010-01-12 00:00:00 it should not be included in the result. Original question: Consider an orders table containing id (unique), order_num, tstamp (a timestamp), and item_id (the single item included in an order). tstamp is null, unless the order has been modified, in which case there is another record with identical order_num and tstamp then contains the timestamp of when the change occurred. Example... id order_num tstamp item_id __ _________ ___________________ _______ 0 1 100 1 2 101 2 2 2010-01-05 12:34:56 102 3 3 113 4 4 124 5 5 135 6 5 2010-01-07 01:23:45 136 7 5 2010-01-07 02:46:00 137 8 6 100 9 6 2010-01-13 08:33:55 105 What is the most efficient SQL statement to retrieve all of the orders (based on order_num) which have been modified one or more times during a certain date range? In other words, for each order we need all of the records with the same order_num (including the one with NULL tstamp), for each order_num WHERE at least one of the order_num's has tstamp NOT NULL AND tstamp BETWEEN '2010-01-03' AND '2010-01-09'. It's the "WHERE at least one of the order_num's has tstamp NOT NULL" that I'm having difficulty with. The result set should look like this: id order_num tstamp item_id __ _________ ___________________ _______ 1 2 101 2 2 2010-01-05 12:34:56 102 5 5 135 6 5 2010-01-07 01:23:45 136 7 5 2010-01-07 02:46:00 137 The SQL that I came up with is this, which is essentially "A UNION (B in A)", but it executes slowly and I hope there is a more efficient solution: SELECT history_orders.order_id, history_orders.tstamp, history_orders.item_id FROM (SELECT orders.order_id, orders.tstamp, orders.item_id FROM orders WHERE orders.tstamp BETWEEN '2010-01-03' AND '2010-01-09') AS history_orders UNION SELECT current_orders.order_id, current_orders.tstamp, current_orders.item_id FROM (SELECT orders.order_id, orders.tstamp, orders.item_id FROM orders WHERE orders.tstamp IS NULL) AS current_orders WHERE current_orders.order_id IN (SELECT orders.order_id FROM orders WHERE orders.tstamp BETWEEN '2010-01-03' AND '2010-01-09');

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  • Understanding EDI 997

    - by VishnuTiwariBlog
    Hi Guys, This is for the EDI starter. Below is the complete detail of EDI 997 segment and element details. 997 Functional Acknowledgment Transaction Layout:   No. Seg ID Name Description Example M/O 010 ST Transaction Set Header To indicate the start of a transaction set and to assign a control number ST*997*382823~   M ST01   Code uniquely identifying a Transaction Set   M ST02   Identifying control number that must be unique within the transaction set functional group assigned by the originator for a transaction set   M 020 AK1 Functional Group Response Header To start acknowledgment of a functional group AK1*QM*2459823 M        AK101   Code identifying a group of application related transaction sets IN Invoice Information (810) SH Ship Notice/Manifest (856)     AK102   Assigned number originated and maintained by the sender     030 AK2 Transaction Set Response Header To start acknowledgment of a single transaction set AK2*856*001 M AK201   Code uniquely identifying a Transaction Set 810 Invoice 856 Ship Notice/Manifest   M AK202   Identifying control number that must be unique within the transaction set functional group assigned by the originator for a transaction set   M 040 AK3 Data Segment Note To report errors in a data segment and identify the location of the data segment AK3*TD3*9 O AK301 Segment ID Code Code defining the segment ID of the data segment in error (See Appendix A - Number 77)     AK302 Segment Position in Transaction Set The numerical count position of this data segment from the start of the transaction set: the transaction set header is count position 1     050 AK4 Data Element Note To report errors in a data element or composite data structure and identify the location of the data element AK4*2**2 O AK401 Position in Segment Code indicating the relative position of a simple data element, or the relative position of a composite data structure combined with the relative position of the component data element within the composite data structure, in error; the count starts with 1 for the simple data element or composite data structure immediately following the segment ID     AK402 Element Position in Segment This is used to indicate the relative position of a simple data element, or the relative position of a composite data structure with the relative position of the component within the composite data structure, in error; in the data segment the count starts with 1 for the simple data element or composite data structure immediately following the segment ID     AK403 Data Element Syntax Error Code Code indicating the error found after syntax edits of a data element 1 Mandatory Data Element Missing 2 Conditional Required Data Element Missing 3 Too Many Data Elements 4 Data Element Too Short 5 Data Element Too Long 6 Invalid Character in Data Element 7 Invalid Code Value 8 Invalid Date 9 Invalid Time 10 Exclusion Condition Violated     AK404 Copy of Bad Data Element This is a copy of the data element in error     060 AK5 AK5 Transaction Set Response Trailer To acknowledge acceptance or rejection and report errors in a transaction set AK5*A~ AK5*R*5~ M AK501 Transaction Set Acknowledgment Code Code indicating accept or reject condition based on the syntax editing of the transaction set A Accepted E Accepted But Errors Were Noted R Rejected     AK502 Transaction Set Syntax Error Code Code indicating error found based on the syntax editing of a transaction set 1 Transaction Set Not Supported 2 Transaction Set Trailer Missing 3 Transaction Set Control Number in Header and Trailer Do Not Match 4 Number of Included Segments Does Not Match Actual Count 5 One or More Segments in Error 6 Missing or Invalid Transaction Set Identifier 7 Missing or Invalid Transaction Set Control Number     070 AK9 Functional Group Response Trailer To acknowledge acceptance or rejection of a functional group and report the number of included transaction sets from the original trailer, the accepted sets, and the received sets in this functional group AK9*A*1*1*1~ AK9*R*1*1*0~ M AK901 Functional Group Acknowledge Code Code indicating accept or reject condition based on the syntax editing of the functional group A Accepted E Accepted, But Errors Were Noted. R Rejected     AK902 Number of Transaction Sets Included Total number of transaction sets included in the functional group or interchange (transmission) group terminated by the trailer containing this data element     AK903 Number of Received Transaction Sets Number of Transaction Sets received     AK904 Number of Accepted Transaction Sets Number of accepted Transaction Sets in a Functional Group     AK905 Functional Group Syntax Error Code Code indicating error found based on the syntax editing of the functional group header and/or trailer 1 Functional Group Not Supported 2 Functional Group Version Not Supported 3 Functional Group Trailer Missing 4 Group Control Number in the Functional Group Header and Trailer Do Not Agree 5 Number of Included Transaction Sets Does Not Match Actual Count 6 Group Control Number Violates Syntax     080 SE Transaction Set Trailer To indicate the end of the transaction set and provide the count of the transmitted segments (including the beginning (ST) and ending (SE) segments) SE*9*223~ M SE01 Number of Included Segments Total number of segments included in a transaction set including ST and SE segments     SE02 Transaction Set Control Number Identifying control number that must be unique within the transaction set functional group assigned by the originator for a transaction set

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  • Understanding EDI 997.

    - by VishnuTiwariBlog
    Hi Guys, This is for the EDI starter. Below is the complete detail of EDI 997 segment and element details. 997 Functional Acknowledgment Transaction Layout: No. Seg ID Name Description Example M/O 010 ST Transaction Set Header To indicate the start of a transaction set and to assign a control number ST*997*382823~   M ST01   Code uniquely identifying a Transaction Set   M ST02   Identifying control number that must be unique within the transaction set functional group assigned by the originator for a transaction set   M 020 AK1 Functional Group Response Header To start acknowledgment of a functional group AK1*QM*2459823 M        AK101   Code identifying a group of application related transaction sets IN Invoice Information (810) SH Ship Notice/Manifest (856)     AK102   Assigned number originated and maintained by the sender     030 AK2 Transaction Set Response Header To start acknowledgment of a single transaction set AK2*856*001 M AK201   Code uniquely identifying a Transaction Set 810 Invoice 856 Ship Notice/Manifest   M AK202   Identifying control number that must be unique within the transaction set functional group assigned by the originator for a transaction set   M 040 AK3 Data Segment Note To report errors in a data segment and identify the location of the data segment AK3*TD3*9 O AK301 Segment ID Code Code defining the segment ID of the data segment in error (See Appendix A - Number 77)     AK302 Segment Position in Transaction Set The numerical count position of this data segment from the start of the transaction set: the transaction set header is count position 1     050 AK4 Data Element Note To report errors in a data element or composite data structure and identify the location of the data element AK4*2**2 O AK401 Position in Segment Code indicating the relative position of a simple data element, or the relative position of a composite data structure combined with the relative position of the component data element within the composite data structure, in error; the count starts with 1 for the simple data element or composite data structure immediately following the segment ID     AK402 Element Position in Segment This is used to indicate the relative position of a simple data element, or the relative position of a composite data structure with the relative position of the component within the composite data structure, in error; in the data segment the count starts with 1 for the simple data element or composite data structure immediately following the segment ID     AK403 Data Element Syntax Error Code Code indicating the error found after syntax edits of a data element 1 Mandatory Data Element Missing 2 Conditional Required Data Element Missing 3 Too Many Data Elements 4 Data Element Too Short 5 Data Element Too Long 6 Invalid Character in Data Element 7 Invalid Code Value 8 Invalid Date 9 Invalid Time 10 Exclusion Condition Violated     AK404 Copy of Bad Data Element This is a copy of the data element in error     060 AK5 AK5 Transaction Set Response Trailer To acknowledge acceptance or rejection and report errors in a transaction set AK5*A~ AK5*R*5~ M AK501 Transaction Set Acknowledgment Code Code indicating accept or reject condition based on the syntax editing of the transaction set A Accepted E Accepted But Errors Were Noted R Rejected     AK502 Transaction Set Syntax Error Code Code indicating error found based on the syntax editing of a transaction set 1 Transaction Set Not Supported 2 Transaction Set Trailer Missing 3 Transaction Set Control Number in Header and Trailer Do Not Match 4 Number of Included Segments Does Not Match Actual Count 5 One or More Segments in Error 6 Missing or Invalid Transaction Set Identifier 7 Missing or Invalid Transaction Set Control Number     070 AK9 Functional Group Response Trailer To acknowledge acceptance or rejection of a functional group and report the number of included transaction sets from the original trailer, the accepted sets, and the received sets in this functional group AK9*A*1*1*1~ AK9*R*1*1*0~ M AK901 Functional Group Acknowledge Code Code indicating accept or reject condition based on the syntax editing of the functional group A Accepted E Accepted, But Errors Were Noted. R Rejected     AK902 Number of Transaction Sets Included Total number of transaction sets included in the functional group or interchange (transmission) group terminated by the trailer containing this data element     AK903 Number of Received Transaction Sets Number of Transaction Sets received     AK904 Number of Accepted Transaction Sets Number of accepted Transaction Sets in a Functional Group     AK905 Functional Group Syntax Error Code Code indicating error found based on the syntax editing of the functional group header and/or trailer 1 Functional Group Not Supported 2 Functional Group Version Not Supported 3 Functional Group Trailer Missing 4 Group Control Number in the Functional Group Header and Trailer Do Not Agree 5 Number of Included Transaction Sets Does Not Match Actual Count 6 Group Control Number Violates Syntax     080 SE Transaction Set Trailer To indicate the end of the transaction set and provide the count of the transmitted segments (including the beginning (ST) and ending (SE) segments) SE*9*223~ M SE01 Number of Included Segments Total number of segments included in a transaction set including ST and SE segments     SE02 Transaction Set Control Number Identifying control number that must be unique within the transaction set functional group assigned by the originator for a transaction set

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  • Getting UPK data into Excel

    - by maria.cozzolino(at)oracle.com
    Did you ever want someone to review your UPK outline outside of the Developer? You can send your outline to an Excel report, which can be distributed through email. Depending on how much additional data you want with your outline, there are two ways you can do this task. Basic data: • You can print a listing of all the items in the outline. • With your outline open, choose File/Print... • Choose the "Save document as" command on the right, and choose Excel (or xlsx). • HINT: If you have not expanded your entire outline, it's faster to use the commands in Developer to expand the entire outline. However, you can expand specific sections by clicking on them in the print preview. • NOTE: If you have the Details view displayed rather than the Player view, you can print all the data that appears in that view. Advanced data: If you desire a more detailed report, you can use the HP Quality Center publishing style, which also creates an Excel file. This style contains a default set of fields for use with Quality Center, but any of the metadata fields can be added to the report, and it can be used for more than just importing into HP Quality Center. To add additional columns to the HP Quality Center publishing style: 1. Make a copy of the publishing style. This process ensures that you have a good copy to revert to if something goes wrong with your customizations, and also allows you to keep your modifications when the software is upgraded. 2. Open the copy of the columnspec.xml file in your favorite XML editor - I use notepad. (This file is located in a language-specific folder in the HP Quality Center publishing style.) 3. Scroll down the columnspec file until you find the column to include. All the metadata fields that can be added to the report are listed in the columnspec file - you just need to tell the system to include the columns. 4. You will see a series of sections like this: 5. Change the value for "col export" to "yes". This will include the column in the Excel file. 6. If desired, change the value for "Play_ModesColHeader" to be whatever name you wish to appear in the Excel column heading. 7. Save the columnspec file. 8. Save the publishing style package. Now, when you publish for HP Quality Center, you will see your newly added columns. You can refer to the section on Customizing HP Quality Center Output in the Content Deployment Guide for additional customization details. Happy customization! I'd be interested in hearing what other uses you have for Excel reporting. Wishing you and yours a happy and healthy New Year! ~~Maria Cozzolino, Manager of Software Requirements and UI

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  • Willy Rotstein on Supply Chain Planning

    - by sarah.taylor(at)oracle.com
    Each time a merchandiser, buyer or planner in Retail makes a business decision around assortment, inventory, pricing and promotions there is an opportunity to improve both Profitability and Customer Service. Improving decision making, however, has always been a tricky business for retailers.  I have worked in this space for more than 15 years. I began my career as an academic, at Imperial College London, and then broadened this interest with Retailers, aiming to optimize their merchandising and supply chain decisions. Planning the business and optimizing profit is a complex process. The complexity arises from the variety of people involved, the large number of decisions to take across all business processes, the uncertainty intrinsic to the retail environment as well as the volume of data available for analysis.  Things are not getting any easier either. The advent of multi-channel, social media and mobile is taking these complexities to a new level and presenting additional opportunities for those willing to exploit them. I guess it is due to the complexities of the decision making process that, over the last couple of years working with Oracle Retail, I have witnessed a clear trend around the deployment of planning systems. Retailers are aiming to simplify their decision making processes. They want to use one joined up planning platform across the business and enhance it with "actionable" data mining and optimization techniques. At Oracle Retail, we have a vibrant community of international retailers who regularly come together to discuss the big issues in retail planning. It is a combination of fashion, grocery and speciality retailers, all sharing their best practice vision for planning and optimizing merchandise decisions. As part of the Retail Exchange program, at the recent National Retail Federation event in New York, I jointly hosted a Planning dinner with Peter Fitzgerald from Google UK, Retail Division. Those retailers from our international planning community who were in New York for the annual NRF event were able to attend. The group comprised some of Europe's great International Retail brands.  All sectors were represented by organisations like Mango, LVMH, Ahold, Morrisons, Shop Direct and River Island. They confirmed the current importance of engaging with Planning and Optimization issues. In particular the impact of the internet was a key topic. We had a great debate about new retail initiatives.  Peter highlighted how mobility is changing retail - in particular with the new "local availability search" initiative. We also had an exciting discussion around the opportunities to improve merchandising using the new data that is becoming available from search, social media and ecommerce sites. It will be our focus to continue to help retailers translate this data into better results while keeping their business operations simple. New developments in "actionable" analytics and computing capacity make this a very exciting area today. Watch this space for my contributions on these topics which will be made available through this blog. Oracle Retail has a strong Planning community. if you are a category manager, a planner, a buyer, a merchandiser, a retail supplier or any retail executive with a keen interest in planning then you would be very welcome to join Oracle Retail's Planning Community. As part of our community you will be able to join our in-person and virtual events, download topical white papers and best practice information specifically tailored to your area of interest.  If anyone would like to register their interest in joining our community of retailers discussing planning then please contact me at [email protected]   Willy Rotstein, Oracle Retail

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  • Android - passing data between Activities

    - by Bill Osuch
    (To follow along with this, you should understand the basics of starting new activities: Link ) The easiest way to pass data from one activity to another is to create your own custom bundle and pass it to your new class. First, create two new activities called Search and SearchResults (make sure you add the second one you create to the AndroidManifest.xml file!), and create xml layout files for each. Search's file should look like this: <?xml version="1.0" encoding="utf-8"?> <LinearLayout     xmlns:android="http://schemas.android.com/apk/res/android"     android:layout_width="fill_parent"     android:layout_height="fill_parent"     android:orientation="vertical">     <TextView          android:layout_width="fill_parent"      android:layout_height="wrap_content"      android:text="Name:"/>     <EditText                android:id="@+id/edittext"         android:layout_width="fill_parent"         android:layout_height="wrap_content"/>     <TextView          android:layout_width="fill_parent"         android:layout_height="wrap_content"         android:text="ID Number:"/>     <EditText                android:id="@+id/edittext2"                android:layout_width="fill_parent"                android:layout_height="wrap_content"/>     <Button           android:id="@+id/btnSearch"          android:layout_width="fill_parent"         android:layout_height="wrap_content"         android:text="Search" /> </LinearLayout> and SearchResult's should look like this: <?xml version="1.0" encoding="utf-8"?> <LinearLayout     xmlns:android="http://schemas.android.com/apk/res/android"     android:layout_width="fill_parent"     android:layout_height="fill_parent"     android:orientation="vertical">     <TextView          android:id="@+id/txtName"         android:layout_width="fill_parent"         android:layout_height="wrap_content"/>     <TextView          android:id="@+id/txtState"         android:layout_width="fill_parent"         android:layout_height="wrap_content"         android:text="No data"/> </LinearLayout> Next, we'll override the OnCreate method of Search: @Override public void onCreate(Bundle savedInstanceState) {     super.onCreate(savedInstanceState);     setContentView(R.layout.search);     Button search = (Button) findViewById(R.id.btnSearch);     search.setOnClickListener(new View.OnClickListener() {         public void onClick(View view) {                           Intent intent = new Intent(Search.this, SearchResults.class);              Bundle b = new Bundle();                           EditText txt1 = (EditText) findViewById(R.id.edittext);             EditText txt2 = (EditText) findViewById(R.id.edittext2);                                      b.putString("name", txt1.getText().toString());             b.putInt("state", Integer.parseInt(txt2.getText().toString()));                              //Add the set of extended data to the intent and start it             intent.putExtras(b);             startActivity(intent);          }     }); } This is very similar to the previous example, except here we're creating our own bundle, adding some key/value pairs to it, and adding it to the intent. Now, to retrieve the data, we just need to grab the Bundle that was passed to the new Activity and extract our values from it: @Override public void onCreate(Bundle savedInstanceState) {     super.onCreate(savedInstanceState);     setContentView(R.layout.search_results);     Bundle b = getIntent().getExtras();     int value = b.getInt("state", 0);     String name = b.getString("name");             TextView vw1 = (TextView) findViewById(R.id.txtName);     TextView vw2 = (TextView) findViewById(R.id.txtState);             vw1.setText("Name: " + name);     vw2.setText("State: " + String.valueOf(value)); }

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  • Achieve Named Criteria with multiple tables in EJB Data control

    - by Deepak Siddappa
    In EJB create a named criteria using sparse xml and in named criteria wizard, only attributes related to the that particular entities will be displayed.  So here we can filter results only on particular entity bean. Take a scenario where we need to create Named Criteria based on multiple tables using EJB. In BC4J we can achieve this by creating view object based on multiple tables. So in this article, we will try to achieve named criteria based on multiple tables using EJB.Implementation StepsCreate Java EE Web Application with entity based on Departments and Employees, then create a session bean and data control for the session bean.Create a Java Bean, name as CustomBean and add below code to the file. Here in java bean from both Departments and Employees tables three fields are taken. public class CustomBean { private BigDecimal departmentId; private String departmentName; private BigDecimal locationId; private BigDecimal employeeId; private String firstName; private String lastName; public CustomBean() { super(); } public void setDepartmentId(BigDecimal departmentId) { this.departmentId = departmentId; } public BigDecimal getDepartmentId() { return departmentId; } public void setDepartmentName(String departmentName) { this.departmentName = departmentName; } public String getDepartmentName() { return departmentName; } public void setLocationId(BigDecimal locationId) { this.locationId = locationId; } public BigDecimal getLocationId() { return locationId; } public void setEmployeeId(BigDecimal employeeId) { this.employeeId = employeeId; } public BigDecimal getEmployeeId() { return employeeId; } public void setFirstName(String firstName) { this.firstName = firstName; } public String getFirstName() { return firstName; } public void setLastName(String lastName) { this.lastName = lastName; } public String getLastName() { return lastName; } } Open the sessionEJb file and add the below code to the session bean and expose the method in local/remote interface and generate a data control for that. Note:- Here in the below code "em" is a EntityManager. public List<CustomBean> getCustomBeanFindAll() { String queryString = "select d.department_id, d.department_name, d.location_id, e.employee_id, e.first_name, e.last_name from departments d, employees e\n" + "where e.department_id = d.department_id"; Query genericSearchQuery = em.createNativeQuery(queryString, "CustomQuery"); List resultList = genericSearchQuery.getResultList(); Iterator resultListIterator = resultList.iterator(); List<CustomBean> customList = new ArrayList(); while (resultListIterator.hasNext()) { Object col[] = (Object[])resultListIterator.next(); CustomBean custom = new CustomBean(); custom.setDepartmentId((BigDecimal)col[0]); custom.setDepartmentName((String)col[1]); custom.setLocationId((BigDecimal)col[2]); custom.setEmployeeId((BigDecimal)col[3]); custom.setFirstName((String)col[4]); custom.setLastName((String)col[5]); customList.add(custom); } return customList; } Open the DataControls.dcx file and create sparse xml for customBean. In sparse xml navigate to Named criteria tab -> Bind Variable section, create two binding variables deptId,fName. In sparse xml navigate to Named criteria tab ->Named criteria, create a named criteria and map the query attributes to the bind variables. In the ViewController create a file jspx page, from data control palette drop customBeanFindAll->Named Criteria->CustomBeanCriteria->Query as ADF Query Panel with Table. Run the jspx page and enter values in search form with departmentId as 50 and firstName as "M". Named criteria will filter the query of a data source and display the result like below.

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  • How to store a shmup level?

    - by pek
    I am developing a 2D shmup (i.e. Aero Fighters) and I was wondering what are the various ways to store a level. Assuming that enemies are defined in their own xml file, how would you define when an enemy spawns in the level? Would it be based on time? Updates? Distance? Currently I do this based on "level time" (the amount of time the level is running - pausing doesn't update the time). Here is an example (the serialization was done by XNA): <?xml version="1.0" encoding="utf-8"?> <XnaContent xmlns:level="pekalicious.xanor.XanorContentShared.content.level"> <Asset Type="level:Level"> <Enemies> <Enemy> <EnemyType>data/enemies/smallenemy</EnemyType> <SpawnTime>PT0S</SpawnTime> <NumberOfSpawns>60</NumberOfSpawns> <SpawnOffset>PT0.2S</SpawnOffset> </Enemy> <Enemy> <EnemyType>data/enemies/secondenemy</EnemyType> <SpawnTime>PT0S</SpawnTime> <NumberOfSpawns>10</NumberOfSpawns> <SpawnOffset>PT0.5S</SpawnOffset> </Enemy> <Enemy> <EnemyType>data/enemies/secondenemy</EnemyType> <SpawnTime>PT20S</SpawnTime> <NumberOfSpawns>10</NumberOfSpawns> <SpawnOffset>PT0.5S</SpawnOffset> </Enemy> <Enemy> <EnemyType>data/enemies/boss1</EnemyType> <SpawnTime>PT30S</SpawnTime> <NumberOfSpawns>1</NumberOfSpawns> <SpawnOffset>PT0S</SpawnOffset> </Enemy> </Enemies> </Asset> </XnaContent> Each Enemy element is basically a wave of specific enemy types. The type is defined in EnemyType while SpawnTime is the "level time" this wave should appear. NumberOfSpawns and SpawnOffset is the number of enemies that will show up and the time it takes between each spawn respectively. This could be a good idea or there could be better ones out there. I'm not sure. I would like to see some opinions and ideas. I have two problems with this: spawning an enemy correctly and creating a level editor. The level editor thing is an entirely different problem (which I will probably post in the future :P). As for spawning correctly, the problem lies in the fact that I have a variable update time and so I need to make sure I don't miss an enemy spawn because the spawn offset is too small, or because the update took a little more time. I kinda fixed it for the most part, but it seems to me that the problem is with how I store the level. So, any ideas? Comments? Thank you in advance.

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  • SQL Azure: Notes on Building a Shard Technology

    - by Herve Roggero
    In Chapter 10 of the book on SQL Azure (http://www.apress.com/book/view/9781430229612) I am co-authoring, I am digging deeper in what it takes to write a Shard. It's actually a pretty cool exercise, and I wanted to share some thoughts on how I am designing the technology. A Shard is a technology that spreads the load of database requests over multiple databases, as transparently as possible. The type of shard I am building is called a Vertical Partition Shard  (VPS). A VPS is a mechanism by which the data is stored in one or more databases behind the scenes, but your code has no idea at design time which data is in which database. It's like having a mini cloud for records instead of services. Imagine you have three SQL Azure databases that have the same schema (DB1, DB2 and DB3), you would like to issue a SELECT * FROM Users on all three databases, concatenate the results into a single resultset, and order by last name. Imagine you want to ensure your code doesn't need to change if you add a new database to the shard (DB4). Now imagine that you want to make sure all three databases are queried at the same time, in a multi-threaded manner so your code doesn't have to wait for three database calls sequentially. Then, imagine you would like to obtain a breadcrumb (in the form of a new, virtual column) that gives you a hint as to which database a record came from, so that you could update it if needed. Now imagine all that is done through the standard SqlClient library... and you have the Shard I am currently building. Here are some lessons learned and techniques I am using with this shard: Parellel Processing: Querying databases in parallel is not too hard using the Task Parallel Library; all you need is to lock your resources when needed Deleting/Updating Data: That's not too bad either as long as you have a breadcrumb. However it becomes more difficult if you need to update a single record and you don't know in which database it is. Inserting Data: I am using a round-robin approach in which each new insert request is directed to the next database in the shard. Not sure how to deal with Bulk Loads just yet... Shard Databases:  I use a static collection of SqlConnection objects which needs to be loaded once; from there on all the Shard commands use this collection Extension Methods: In order to make it look like the Shard commands are part of the SqlClient class I use extension methods. For example I added ExecuteShardQuery and ExecuteShardNonQuery methods to SqlClient. Exceptions: Capturing exceptions in a multi-threaded code is interesting... but I kept it simple for now. I am using the ConcurrentQueue to store my exceptions. Database GUID: Every database in the shard is given a GUID, which is calculated based on the connection string's values. DataTable. The Shard methods return a DataTable object which can be bound to objects.  I will be sharing the code soon as an open-source project in CodePlex. Please stay tuned on twitter to know when it will be available (@hroggero). Or check www.bluesyntax.net for updates on the shard. Thanks!

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  • perl comparing 2 data file as array 2D for finding match one to one [migrated]

    - by roman serpa
    I'm doing a program that uses combinations of variables ( combiData.txt 63 rows x different number of columns) for analysing a data table ( j1j2_1.csv, 1000filas x 19 columns ) , to choose how many times each combination is repeated in data table and which rows come from (for instance, tableData[row][4]). I have tried to compile it , however I get the following message : Use of uninitialized value $val in numeric eq (==) at rowInData.pl line 34. Use of reference "ARRAY(0x1a2eae4)" as array index at rowInData.pl line 56. Use of reference "ARRAY(0x1a1334c)" as array index at rowInData.pl line 56. Use of uninitialized value in subtraction (-) at rowInData.pl line 56. Modification of non-creatable array value attempted, subscript -1 at rowInData.pl line 56. nothing This is my code: #!/usr/bin/perl use strict; use warnings; my $line_match; my $countTrue; open (FILE1, "<combiData.txt") or die "can't open file text1.txt\n"; my @tableCombi; while(<FILE1>) { my @row = split(' ', $_); push(@tableCombi, \@row); } close FILE1 || die $!; open (FILE2, "<j1j2_1.csv") or die "can't open file text1.txt\n"; my @tableData; while(<FILE2>) { my @row2 = split(/\s*,\s*/, $_); push(@tableData, \@row2); } close FILE2 || die $!; #function transform combiData.txt variable (position ) to the real value that i have to find in the data table. sub trueVal($){ my ($val) = $_[0]; if($val == 7){ return ('nonsynonymous_SNV'); } elsif( $val == 14) { return '1'; } elsif( $val == 15) { return '1';} elsif( $val == 16) { return '1'; } elsif( $val == 17) { return '1'; } elsif( $val == 18) { return '1';} elsif( $val == 19) { return '1';} else { print 'nothing'; } } #function IntToStr ( ) , i'm not sure if it is necessary) that transforms $ to strings , to use the function <eq> in the third loop for the array of combinations compared with the data array . sub IntToStr { return "$_[0]"; } for my $combi (@tableCombi) { $line_match = 0; for my $sheetData (@tableData) { $countTrue=0; for my $cell ( @$combi) { #my $temp =\$tableCombi[$combi][$cell] ; #if ( trueVal($tableCombi[$combi][$cell] ) eq $tableData[$sheetData][ $tableCombi[$combi][$cell] - 1 ] ){ #if ( IntToStr(trueVal($$temp )) eq IntToStr( $tableData[$sheetData][ $$temp-1] ) ){ if ( IntToStr(trueVal($tableCombi[$combi][$cell]) ) eq IntToStr($tableData[$sheetData][ $tableCombi[$combi][$cell] -1]) ){ $countTrue++;} if ($countTrue==@$combi){ $line_match++; #if ($line_match < 50){ print $tableData[$sheetData][4]." "; #} } } } print $line_match." \n"; }

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  • Crime Scene Investigation: SQL Server

    - by Rodney Landrum
    “The packages are running slower in Prod than they are in Dev” My week began with this simple declaration from one of our lead BI developers, quickly followed by an emailed spreadsheet demonstrating that, over 5 executions, an extensive ETL process was running average 630 seconds faster on Dev than on Prod. The situation needed some scientific investigation to determine why the same code, the same data, the same schema would yield consistently slower results on a more powerful server. Prod had yet to be officially christened with a “Go Live” date so I had the time, and having recently been binge watching CSI: New York, I also had the inclination. An inspection of the two systems, Prod and Dev, revealed the first surprise: although Prod was indeed a “bigger” system, with double the amount of RAM of Dev, the latter actually had twice as many processor cores. On neither system did I see much sign of resources being heavily taxed, while the ETL process was running. Without any real supporting evidence, I jumped to a conclusion that my years of performance tuning should have helped me avoid, and that was that the hardware differences explained the better performance on Dev. We spent time setting up a Test system, similarly scoped to Prod except with 4 times the cores, and ported everything across. The results of our careful benchmarks left us truly bemused; the ETL process on the new server was slower than on both other systems. We burned more time tweaking server configurations, monitoring IO and network latency, several times believing we’d uncovered the smoking gun, until the results of subsequent test runs pitched us back into confusion. Finally, I decided, enough was enough. Hadn’t I learned very early in my DBA career that almost all bottlenecks were caused by code and database design, not hardware? It was time to get back to basics. With over 100 SSIS packages and hundreds of queries, each handling specific tasks such as file loads, bulk inserts, transforms, logging, and so on, the task seemed formidable. And yet, after barely an hour spent with Profiler, Extended Events, and wait statistics DMVs, I had a lead in the shape of a query that joined three tables, containing millions of rows, returned 3279 results, but performed 239K logical reads. As soon as I looked at the execution plans for the query in Dev and Test I saw the culprit, an implicit conversion warning on a join predicate field that was numeric in one table and a varchar(50) in another! I turned this information over to the BI developers who quickly resolved the data type mismatches and found and fixed “several” others as well. After the schema changes the same query with the same databases ran in under 1 second on all systems and reduced the logical reads down to fewer than 300. The analysis also revealed that on Dev, the ETL task was pulling data across a LAN, whereas Prod and Test were connected across slower WAN, in large part explaining why the same process ran slower on the latter two systems. Loading the data locally on Prod delivered a further 20% gain in performance. As we progress through our DBA careers we learn valuable lessons. Sometimes, with a project deadline looming and pressure mounting, we choose to forget them. I was close to giving into the temptation to throw more hardware at the problem. I’m pleased at least that I resisted, though I still kick myself for not looking at the code on day one. It can seem a daunting prospect to return to the fundamentals of the code so close to roll out, but with the right tools, and surprisingly little time, you can collect the evidence that reveals the true problem. It is a lesson I trust I will remember for my next 20 years as a DBA, if I’m ever again tempted to bypass the evidence.

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