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  • I want to use blur function instead mouseup function

    - by yossi
    I have the Demo Table which I can click on the cell(td tag) and I can change the value on it.direct php DataBase. to do that I need to contain two tags.1 - span. 2 - input. like the below. <td class='Name'> <span id="spanName1" class="text" style="display: inline;"> Somevalue </span> <input type="text" value="Somevalue" class="edittd" id="inputName1" style="display: none; "> </td> to control on the data inside the cell I use in jquery .mouseup function. mouseup work but also make truble. I need to replace it with blur function but when I try to replace mouseup with blur the program thas not work becose, when I click on the cell I able to enter the input tag and I can change the value but I can't Successful to Leave the tag/field by clicking out side the table, which alow me to update the DataBase you can see that Demo with blur Here. what you advice me to do? $(".edittd").mouseup(function() { return false; }); //************* $(document).mouseup(function() { $('#span' + COLUME + ROW).show(); $('#input'+ COLUME + ROW ).hide(); VAL = $("#input" + COLUME + ROW).val(); $("#span" + COLUME + ROW).html(VAL); if(STATUS != VAL){ //******ajax code //dataString = $.trim(this.value); $.ajax({ type: "POST", dataType: 'html', url: "./public/php/ajax.php", data: 'COLUME='+COLUME+'&ROW='+ROW+'&VAL='+VAL, //{"dataString": dataString} cache: false, success: function(data) { $("#statuS").html(data); } }); //******end ajax $('#statuS').removeClass('statuSnoChange') .addClass('statuSChange'); $('#statuS').html('THERE IS CHANGE'); $('#tables').load('TableEdit2.php'); } else { //alert(DATASTRING+'status not true'); } });//End mouseup function I change it to: $(document).ready(function() { var COLUMES,COLUME,VALUE,VAL,ROWS,ROW,STATUS,DATASTRING; $('td').click(function() { COLUME = $(this).attr('class'); }); //**************** $('tr').click(function() { ROW = $(this).attr('id'); $('#display_Colume_Raw').html(COLUME+ROW); $('#span' + COLUME + ROW).hide(); $('#input'+ COLUME + ROW ).show(); STATUS = $("#input" + COLUME + ROW).val(); }); //******************** $(document).blur(function() { $('#span' + COLUME + ROW).show(); $('#input'+ COLUME + ROW ).hide(); VAL = $("#input" + COLUME + ROW).val(); $("#span" + COLUME + ROW).html(VAL); if(STATUS != VAL){ //******ajax code //dataString = $.trim(this.value); $.ajax({ type: "POST", dataType: 'html', url: "./public/php/ajax.php", data: 'COLUME='+COLUME+'&ROW='+ROW+'&VAL='+VAL, //{"dataString": dataString} cache: false, success: function(data) { $("#statuS").html(data); } }); //******end ajax $('#statuS').removeClass('statuSnoChange') .addClass('statuSChange'); $('#statuS').html('THERE IS CHANGE'); $('#tables').load('TableEdit2.php'); } else { //alert(DATASTRING+'status not true'); } });//End mouseup function $('#save').click (function(){ var input1,input2,input3,input4=""; input1 = $('#input1').attr('value'); input2 = $('#input2').attr('value'); input3 = $('#input3').attr('value'); input4 = $('#input4').attr('value'); $.ajax({ type: "POST", url: "./public/php/ajax.php", data: "input1="+ input1 +"&input2="+ input2 +"&input3="+ input3 +"&input4="+ input4, success: function(data){ $("#statuS").html(data); $('#tbl').hide(function(){$('div.success').fadeIn();}); $('#tables').load('TableEdit2.php'); } }); }); }); Thx

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  • Muti-Schema Privileges for a Table Trigger in an Oracle Database

    - by sisslack
    I'm trying to write a table trigger which queries another table that is outside the schema where the trigger will reside. Is this possible? It seems like I have no problem querying tables in my schema but I get: Error: ORA-00942: table or view does not exist when trying trying to query tables outside my schema. EDIT My apologies for not providing as much information as possible the first time around. I was under the impression this question was more simple. I'm trying create a trigger on a table that changes some fields on a newly inserted row based on the existence of some data that may or may not be in a table that is in another schema. The user account that I'm using to create the trigger does have the permissions to run the queries independently. In fact, I've had my trigger print the query I'm trying to run and was able to run it on it's own successfully. I should also note that I'm building the query dynamically by using the EXECUTE IMMEDIATE statement. Here's an example: CREATE OR REPLACE TRIGGER MAIN_SCHEMA.EVENTS BEFORE INSERT ON MAIN_SCHEMA.EVENTS REFERENCING OLD AS OLD NEW AS NEW FOR EACH ROW DECLARE rtn_count NUMBER := 0; table_name VARCHAR2(17) := :NEW.SOME_FIELD; key_field VARCHAR2(20) := :NEW.ANOTHER_FIELD; BEGIN CASE WHEN (key_field = 'condition_a') THEN EXECUTE IMMEDIATE 'select count(*) from OTHER_SCHEMA_A.'||table_name||' where KEY_FIELD='''||key_field||'''' INTO rtn_count; WHEN (key_field = 'condition_b') THEN EXECUTE IMMEDIATE 'select count(*) from OTHER_SCHEMA_B.'||table_name||' where KEY_FIELD='''||key_field||'''' INTO rtn_count; WHEN (key_field = 'condition_c') THEN EXECUTE IMMEDIATE 'select count(*) from OTHER_SCHEMA_C.'||table_name||' where KEY_FIELD='''||key_field||'''' INTO rtn_count; END CASE; IF (rtn_count > 0) THEN -- change some fields that are to be inserted END IF; END; The trigger seams to fail on the EXECUTE IMMEDIATE with the previously mentioned error. EDIT I have done some more research and I can offer more clarification. The user account I'm using to create this trigger is not MAIN_SCHEMA or any one of the OTHER_SCHEMA_Xs. The account I'm using (ME) is given privileges to the involved tables via the schema users themselves. For example (USER_TAB_PRIVS): GRANTOR GRANTEE TABLE_SCHEMA TABLE_NAME PRIVILEGE GRANTABLE HIERARCHY MAIN_SCHEMA ME MAIN_SCHEMA EVENTS DELETE NO NO MAIN_SCHEMA ME MAIN_SCHEMA EVENTS INSERT NO NO MAIN_SCHEMA ME MAIN_SCHEMA EVENTS SELECT NO NO MAIN_SCHEMA ME MAIN_SCHEMA EVENTS UPDATE NO NO OTHER_SCHEMA_X ME OTHER_SCHEMA_X TARGET_TBL SELECT NO NO And I have the following system privileges (USER_SYS_PRIVS): USERNAME PRIVILEGE ADMIN_OPTION ME ALTER ANY TRIGGER NO ME CREATE ANY TRIGGER NO ME UNLIMITED TABLESPACE NO And this is what I found in the Oracle documentation: To create a trigger in another user's schema, or to reference a table in another schema from a trigger in your schema, you must have the CREATE ANY TRIGGER system privilege. With this privilege, the trigger can be created in any schema and can be associated with any user's table. In addition, the user creating the trigger must also have EXECUTE privilege on the referenced procedures, functions, or packages. Here: Oracle Doc So it looks to me like this should work, but I'm not sure about the "EXECUTE privilege" it's referring to in the doc.

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  • PHP mysql multi-table search returning different table and field data row after row

    - by Kinyanjui Kamau
    Hi Guys, I am building a social networking site that is dedicated to nightclubs and night events. Among other tables, I have a users table, events table and establishments table. I am really intrigued with how Facebook in particular is able to query and return matches of not just users but also pages, ads etc row after row. Im sure most who are reading this have tried the facebook search My question is in my case, should I: Perform 3 separate LIKE %search% on each of the tables on search.php. Draw up 3 separate tables to show the results of what matches in the relevant queries which are collapsed when empty(on the same search.php) ie In search.php //query users table $query_user = "SELECT user_first_name, user_last_name, username, picture_thumb_url, avatar FROM users JOIN picture ON users.user_id = picture.user_id AND picture.avatar=1 ORDER BY users.user_id"; $result_users = mysql_query($query_user, $connections) or die(mysql_error()); $row_result_users = mysql_fetch_assoc($wid_updates); //query events table $query_event = "SELECT event_thumb_url, event_name, event_venue, event_date FROM event WHERE event_name LIKE '%".$search_value."%'"; $event = mysql_query($query_event, $connections) or die(mysql_error()); $row_event = mysql_fetch_assoc($event); $totalRows_event = mysql_num_rows($event); //query establishments table $query_establishment = "SELECT establishment_thumb_url, establishment_name, location_id, establishment_pricing FROM establishment WHERE establishment_name LIKE '%".$search_value."%'"; $establishment = mysql_query($query_establishment, $connections) or die(mysql_error()); $row_establishment = mysql_fetch_assoc($establishment); $totalRows_establishment = mysql_num_rows($establishment); My html: <table max-width="500" name="users" border="0"> <tr> <td width="50" height="50"></td> <td width="150"></td> <td width="150"></td> <td width="150"></td> </tr> </table> <table width="500" name="events" border="0"> <tr> <td width="50" height="50"><a href="#profile.php"><img src="Images/<?php echo $row_event['event_thumb_url']; ?>" border="0" height="50" width="50"/></a></td> <td width="150"><?php echo $row_event['event_name']; ?></td> <td width="150"><?php echo $row_event['event_venue']; ?></td> <td width="150"><?php echo $row_event['event_date']; ?></td> </tr> </table> <table width="500" name="establishments" border="0"> <tr> <td width="50" height="50"><a href="#profile.php"><img src="Establishment_Images/<?php echo $row_establishment['establishment_thumb_url']; ?>" border="0" height="50" width="50"/></a></td> <td width="150"><?php echo $row_establishment['establishment_name']; ?></td> <td width="150"><?php echo $row_establishment['location_id']; ?></td> <td width="150"><?php echo $row_establishment['establishment_pricing']; ?></td> </tr> </table> I haven't populated the PHP echo's for the user table. This is just to give you an idea of what I am trying to do. Any assistance?

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  • How to make MySQL utilize available system resources, or find "the real problem"?

    - by anonymous coward
    This is a MySQL 5.0.26 server, running on SuSE Enterprise 10. This may be a Serverfault question. The web user interface that uses these particular queries (below) is showing sometimes 30+, even up to 120+ seconds at the worst, to generate the pages involved. On development, when the queries are run alone, they take up to 20 seconds on the first run (with no query cache enabled) but anywhere from 2 to 7 seconds after that - I assume because the tables and indexes involved have been placed into ram. From what I can tell, the longest load times are caused by Read/Update Locking. These are MyISAM tables. So it looks like a long update comes in, followed by a couple 7 second queries, and they're just adding up. And I'm fine with that explanation. What I'm not fine with is that MySQL doesn't appear to be utilizing the hardware it's on, and while the bottleneck seems to be the database, I can't understand why. I would say "throw more hardware at it", but we did and it doesn't appear to have changed the situation. Viewing a 'top' during the slowest times never shows much cpu or memory utilization by mysqld, as if the server is having no trouble at all - but then, why are the queries taking so long? How can I make MySQL use the crap out of this hardware, or find out what I'm doing wrong? Extra Details: On the "Memory Health" tab in the MySQL Administrator (for Windows), the Key Buffer is less than 1/8th used - so all the indexes should be in RAM. I can provide a screen shot of any graphs that might help. So desperate to fix this issue. Suffice it to say, there is legacy code "generating" these queries, and they're pretty much stuck the way they are. I have tried every combination of Indexes on the tables involved, but any suggestions are welcome. Here's the current Create Table statement from development (the 'experimental' key I have added, seems to help a little, for the example query only): CREATE TABLE `registration_task` ( `id` varchar(36) NOT NULL default '', `date_entered` datetime NOT NULL default '0000-00-00 00:00:00', `date_modified` datetime NOT NULL default '0000-00-00 00:00:00', `assigned_user_id` varchar(36) default NULL, `modified_user_id` varchar(36) default NULL, `created_by` varchar(36) default NULL, `name` varchar(80) NOT NULL default '', `status` varchar(255) default NULL, `date_due` date default NULL, `time_due` time default NULL, `date_start` date default NULL, `time_start` time default NULL, `parent_id` varchar(36) NOT NULL default '', `priority` varchar(255) NOT NULL default '9', `description` text, `order_number` int(11) default '1', `task_number` int(11) default NULL, `depends_on_id` varchar(36) default NULL, `milestone_flag` varchar(255) default NULL, `estimated_effort` int(11) default NULL, `actual_effort` int(11) default NULL, `utilization` int(11) default '100', `percent_complete` int(11) default '0', `deleted` tinyint(1) NOT NULL default '0', `wf_task_id` varchar(36) default '0', `reg_field` varchar(8) default '', `date_offset` int(11) default '0', `date_source` varchar(10) default '', `date_completed` date default '0000-00-00', `completed_id` varchar(36) default NULL, `original_name` varchar(80) default NULL, PRIMARY KEY (`id`), KEY `idx_reg_task_p` (`deleted`,`parent_id`), KEY `By_Assignee` (`assigned_user_id`,`deleted`), KEY `status_assignee` (`status`,`deleted`), KEY `experimental` (`deleted`,`status`,`assigned_user_id`,`parent_id`,`date_due`) ) ENGINE=MyISAM DEFAULT CHARSET=latin1 And one of the ridiculous queries in question: SELECT users.user_name assigned_user_name, registration.FIELD001 parent_name, registration_task.status status, registration_task.date_modified date_modified, registration_task.date_due date_due, registration.FIELD240 assigned_wf, if(LENGTH(registration_task.description)>0,1,0) has_description, registration_task.* FROM registration_task LEFT JOIN users ON registration_task.assigned_user_id=users.id LEFT JOIN registration ON registration_task.parent_id=registration.id where (registration_task.status != 'Completed' AND registration.FIELD001 LIKE '%' AND registration_task.name LIKE '%' AND registration.FIELD060 LIKE 'GN001472%') AND registration_task.deleted=0 ORDER BY date_due asc LIMIT 0,20; my.cnf - '[mysqld]' section. [mysqld] port = 3306 socket = /var/lib/mysql/mysql.sock skip-locking key_buffer = 384M max_allowed_packet = 100M table_cache = 2048 sort_buffer_size = 2M net_buffer_length = 100M read_buffer_size = 2M read_rnd_buffer_size = 160M myisam_sort_buffer_size = 128M query_cache_size = 16M query_cache_limit = 1M EXPLAIN above query, without additional index: +----+-------------+-------------------+--------+--------------------------------+----------------+---------+------------------------------------------------+---------+-----------------------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+-------------------+--------+--------------------------------+----------------+---------+------------------------------------------------+---------+-----------------------------+ | 1 | SIMPLE | registration_task | ref | idx_reg_task_p,status_assignee | idx_reg_task_p | 1 | const | 1067354 | Using where; Using filesort | | 1 | SIMPLE | registration | eq_ref | PRIMARY,gbl | PRIMARY | 8 | sugarcrm401.registration_task.parent_id | 1 | Using where | | 1 | SIMPLE | users | ref | PRIMARY | PRIMARY | 38 | sugarcrm401.registration_task.assigned_user_id | 1 | | +----+-------------+-------------------+--------+--------------------------------+----------------+---------+------------------------------------------------+---------+-----------------------------+ EXPLAIN above query, with 'experimental' index: +----+-------------+-------------------+--------+-----------------------------------------------------------+------------------+---------+------------------------------------------------+--------+-----------------------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+-------------------+--------+-----------------------------------------------------------+------------------+---------+------------------------------------------------+--------+-----------------------------+ | 1 | SIMPLE | registration_task | range | idx_reg_task_p,status_assignee,NewIndex1,tcg_experimental | tcg_experimental | 259 | NULL | 103345 | Using where; Using filesort | | 1 | SIMPLE | registration | eq_ref | PRIMARY,gbl | PRIMARY | 8 | sugarcrm401.registration_task.parent_id | 1 | Using where | | 1 | SIMPLE | users | ref | PRIMARY | PRIMARY | 38 | sugarcrm401.registration_task.assigned_user_id | 1 | | +----+-------------+-------------------+--------+-----------------------------------------------------------+------------------+---------+------------------------------------------------+--------+-----------------------------+

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  • Which of CouchDB or MongoDB suits my needs?

    - by vonconrad
    Where I work, we use Ruby on Rails to create both backend and frontend applications. Usually, these applications interact with the same MySQL database. It works great for a majority of our data, but we have one situation which I would like to move to a NoSQL environment. We have clients, and our clients have what we call "inventories"--one or more of them. An inventory can have many thousands of items. This is currently done through two relational database tables, inventories and inventory_items. The problems start when two different inventories have different parameters: # Inventory item from inventory 1, televisions { inventory_id: 1 sku: 12345 name: Samsung LCD 40 inches model: 582903-4 brand: Samsung screen_size: 40 type: LCD price: 999.95 } # Inventory item from inventory 2, accomodation { inventory_id: 2 sku: 48cab23fa name: New York Hilton accomodation_type: hotel star_rating: 5 price_per_night: 395 } Since we obviously can't use brand or star_rating as the column name in inventory_items, our solution so far has been to use generic column names such as text_a, text_b, float_a, int_a, etc, and introduce a third table, inventory_schemas. The tables now look like this: # Inventory schema for inventory 1, televisions { inventory_id: 1 int_a: sku text_a: name text_b: model text_c: brand int_b: screen_size text_d: type float_a: price } # Inventory item from inventory 1, televisions { inventory_id: 1 int_a: 12345 text_a: Samsung LCD 40 inches text_b: 582903-4 text_c: Samsung int_a: 40 text_d: LCD float_a: 999.95 } This has worked well... up to a point. It's clunky, it's unintuitive and it lacks scalability. We have to devote resources to set up inventory schemas. Using separate tables is not an option. Enter NoSQL. With it, we could let each and every item have their own parameters and still store them together. From the research I've done, it certainly seems like a great alterative for this situation. Specifically, I've looked at CouchDB and MongoDB. Both look great. However, there are a few other bits and pieces we need to be able to do with our inventory: We need to be able to select items from only one (or several) inventories. We need to be able to filter items based on its parameters (eg. get all items from inventory 2 where type is 'hotel'). We need to be able to group items based on parameters (eg. get the lowest price from items in inventory 1 where brand is 'Samsung'). We need to (potentially) be able to retrieve thousands of items at a time. We need to be able to access the data from multiple applications; both backend (to process data) and frontend (to display data). Rapid bulk insertion is desired, though not required. Based on the structure, and the requirements, are either CouchDB or MongoDB suitable for us? If so, which one will be the best fit? Thanks for reading, and thanks in advance for answers. EDIT: One of the reasons I like CouchDB is that it would be possible for us in the frontend application to request data via JavaScript directly from the server after page load, and display the results without having to use any backend code whatsoever. This would lead to better page load and less server strain, as the fetching/processing of the data would be done client-side.

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  • Why can't we just use a hash of passphrase as the encryption key (and IV) with symmetric encryption algorithms?

    - by TX_
    Inspired by my previous question, now I have a very interesting idea: Do you really ever need to use Rfc2898DeriveBytes or similar classes to "securely derive" the encryption key and initialization vector from the passphrase string, or will just a simple hash of that string work equally well as a key/IV, when encrypting the data with symmetric algorithm (e.g. AES, DES, etc.)? I see tons of AES encryption code snippets, where Rfc2898DeriveBytes class is used to derive the encryption key and initialization vector (IV) from the password string. It is assumed that one should use a random salt and a shitload of iterations to derive secure enough key/IV for the encryption. While deriving bytes from password string using this method is quite useful in some scenarios, I think that's not applicable when encrypting data with symmetric algorithms! Here is why: using salt makes sense when there is a possibility to build precalculated rainbow tables, and when attacker gets his hands on hash he looks up the original password as a result. But... with symmetric data encryption, I think this is not required, as the hash of password string, or the encryption key, is never stored anywhere. So, if we just get the SHA1 hash of password, and use it as the encryption key/IV, isn't that going to be equally secure? What is the purpose of using Rfc2898DeriveBytes class to generate key/IV from password string (which is a very very performance-intensive operation), when we could just use a SHA1 (or any other) hash of that password? Hash would result in random bit distribution in a key (as opposed to using string bytes directly). And attacker would have to brute-force the whole range of key (e.g. if key length is 256bit he would have to try 2^256 combinations) anyway. So either I'm wrong in a dangerous way, or all those samples of AES encryption (including many upvoted answers here at SO), etc. that use Rfc2898DeriveBytes method to generate encryption key and IV are just wrong.

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  • SQL SERVER – Shrinking NDF and MDF Files – Readers’ Opinion

    - by pinaldave
    Previously, I had written a blog post about SQL SERVER – Shrinking NDF and MDF Files – A Safe Operation. After that, I have written the following blog post that talks about the advantage and disadvantage of Shrinking and why one should not be Shrinking a file SQL SERVER – SHRINKFILE and TRUNCATE Log File in SQL Server 2008. On this subject, SQL Server Expert Imran Mohammed left an excellent comment. I just feel that his comment is worth a big article itself. For everybody to read his wonderful explanation, I am posting this blog post here. Thanks Imran! Shrinking Database always creates performance degradation and increases fragmentation in the database. I suggest that you keep that in mind before you start reading the following comment. If you are going to say Shrinking Database is bad and evil, here I am saying it first and loud. Now, the comment of Imran is written while keeping in mind only the process showing how the Shrinking Database Operation works. Imran has already explained his understanding and requests further explanation. I have removed the Best Practices section from Imran’s comments, as there are a few corrections. Comments from Imran - Before I explain to you the concept of Shrink Database, let us understand the concept of Database Files. When we create a new database inside the SQL Server, it is typical that SQl Server creates two physical files in the Operating System: one with .MDF Extension, and another with .LDF Extension. .MDF is called as Primary Data File. .LDF is called as Transactional Log file. If you add one or more data files to a database, the physical file that will be created in the Operating System will have an extension of .NDF, which is called as Secondary Data File; whereas, when you add one or more log files to a database, the physical file that will be created in the Operating System will have the same extension as .LDF. The questions now are, “Why does a new data file have a different extension (.NDF)?”, “Why is it called as a secondary data file?” and, “Why is .MDF file called as a primary data file?” Answers: Note: The following explanation is based on my limited knowledge of SQL Server, so experts please do comment. A data file with a .MDF extension is called a Primary Data File, and the reason behind it is that it contains Database Catalogs. Catalogs mean Meta Data. Meta Data is “Data about Data”. An example for Meta Data includes system objects that store information about other objects, except the data stored by the users. sysobjects stores information about all objects in that database. sysindexes stores information about all indexes and rows of every table in that database. syscolumns stores information about all columns that each table has in that database. sysusers stores how many users that database has. Although Meta Data stores information about other objects, it is not the transactional data that a user enters; rather, it’s a system data about the data. Because Primary Data File (.MDF) contains important information about the database, it is treated as a special file. It is given the name Primary Data file because it contains the Database Catalogs. This file is present in the Primary File Group. You can always create additional objects (Tables, indexes etc.) in the Primary data file (This file is present in the Primary File group), by mentioning that you want to create this object under the Primary File Group. Any additional data file that you add to the database will have only transactional data but no Meta Data, so that’s why it is called as the Secondary Data File. It is given the extension name .NDF so that the user can easily identify whether a specific data file is a Primary Data File or a Secondary Data File(s). There are many advantages of storing data in different files that are under different file groups. You can put your read only in the tables in one file (file group) and read-write tables in another file (file group) and take a backup of only the file group that has read the write data, so that you can avoid taking the backup of a read-only data that cannot be altered. Creating additional files in different physical hard disks also improves I/O performance. A real-time scenario where we use Files could be this one: Let’s say you have created a database called MYDB in the D-Drive which has a 50 GB space. You also have 1 Database File (.MDF) and 1 Log File on D-Drive and suppose that all of that 50 GB space has been used up and you do not have any free space left but you still want to add an additional space to the database. One easy option would be to add one more physical hard disk to the server, add new data file to MYDB database and create this new data file in a new hard disk then move some of the objects from one file to another, and put the file group under which you added new file as default File group, so that any new object that is created gets into the new files, unless specified. Now that we got a basic idea of what data files are, what type of data they store and why they are named the way they are, let’s move on to the next topic, Shrinking. First of all, I disagree with the Microsoft terminology for naming this feature as “Shrinking”. Shrinking, in regular terms, means to reduce the size of a file by means of compressing it. BUT in SQL Server, Shrinking DOES NOT mean compressing. Shrinking in SQL Server means to remove an empty space from database files and release the empty space either to the Operating System or to SQL Server. Let’s examine this through an example. Let’s say you have a database “MYDB” with a size of 50 GB that has a free space of about 20 GB, which means 30GB in the database is filled with data and the 20 GB of space is free in the database because it is not currently utilized by the SQL Server (Database); it is reserved and not yet in use. If you choose to shrink the database and to release an empty space to Operating System, and MIND YOU, you can only shrink the database size to 30 GB (in our example). You cannot shrink the database to a size less than what is filled with data. So, if you have a database that is full and has no empty space in the data file and log file (you don’t have an extra disk space to set Auto growth option ON), YOU CANNOT issue the SHRINK Database/File command, because of two reasons: There is no empty space to be released because the Shrink command does not compress the database; it only removes the empty space from the database files and there is no empty space. Remember, the Shrink command is a logged operation. When we perform the Shrink operation, this information is logged in the log file. If there is no empty space in the log file, SQL Server cannot write to the log file and you cannot shrink a database. Now answering your questions: (1) Q: What are the USEDPAGES & ESTIMATEDPAGES that appear on the Results Pane after using the DBCC SHRINKDATABASE (NorthWind, 10) ? A: According to Books Online (For SQL Server 2000): UsedPages: the number of 8-KB pages currently used by the file. EstimatedPages: the number of 8-KB pages that SQL Server estimates the file could be shrunk down to. Important Note: Before asking any question, make sure you go through Books Online or search on the Google once. The reasons for doing so have many advantages: 1. If someone else already has had this question before, chances that it is already answered are more than 50 %. 2. This reduces your waiting time for the answer. (2) Q: What is the difference between Shrinking the Database using DBCC command like the one above & shrinking it from the Enterprise Manager Console by Right-Clicking the database, going to TASKS & then selecting SHRINK Option, on a SQL Server 2000 environment? A: As far as my knowledge goes, there is no difference, both will work the same way, one advantage of using this command from query analyzer is, your console won’t be freezed. You can do perform your regular activities using Enterprise Manager. (3) Q: What is this .NDF file that is discussed above? I have never heard of it. What is it used for? Is it used by end-users, DBAs or the SERVER/SYSTEM itself? A: .NDF File is a secondary data file. You never heard of it because when database is created, SQL Server creates database by default with only 1 data file (.MDF) and 1 log file (.LDF) or however your model database has been setup, because a model database is a template used every time you create a new database using the CREATE DATABASE Command. Unless you have added an extra data file, you will not see it. This file is used by the SQL Server to store data which are saved by the users. Hope this information helps. I would like to as the experts to please comment if what I understand is not what the Microsoft guys meant. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Readers Contribution, Readers Question, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • CodePlex Daily Summary for Friday, July 19, 2013

    CodePlex Daily Summary for Friday, July 19, 2013Popular ReleasesuComponents: uComponents v5.5.0: Following on from our 101355 release, we bring you... v5.5.0! Resolved issues The following issues have been resolved in 5.5.0: 14634 14848 DataType Grid 14840 14842 14845 UpgradingThe best way to upgrade uComponents is to re-install via Umbraco's back-office package installer, (either from the package repository or a local package upload). Do not uninstall an existing uComponents package, as this may lead to data loss! Umbraco compatibilityThis release is compatible with Umbraco 4...51Degrees.mobi - Mobile Device Detection and Redirection: 2.1.19.4: One Click Install from NuGet This release introduces the 51Degrees.mobi IIS Vary Header Fix. When Compression and Caching is used in IIS, the Vary header is overwritten, making intelligent caching with dynamic content impossible. Find out more about installing the Vary Header fix. Changes to Version 2.1.19.4Handlers now have a ‘Count’ property. This is an integer value that shows how many devices in the dataset that use that handler. Provider.cs -> GetDeviceInfoByID to address a problem w...SalarDbCodeGenerator: SalarDbCodeGenerator v2.1.2013.0719: Version 2.1.2013.0719 2013/7/19 Pattern Changes: * DapperContext pattern is added. * All patterns are updated to work with one-to-one relations. Changes: * One-to-one relation is supported. * Minor bug fixes.Scryber PDF Generation: Scryber.Installer.v0.8.3: This one has tables! A significant update to the scryber library, with the inclusion of tables. There is no column span, or row span, and nested tables are not fully supported. But - they overflow nicely and are well styled. And they can be data bound. Other updates The Link element has inner components directly as a child, rather than in a Content element. The existing files will still continue to work, but are invalid wrt the schema. Databinding is now supported at the document level, r...Player Framework by Microsoft: Player Framework for Windows and WP (v1.3 beta 2): Includes all changes in v1.3 beta 1 Additional support for Windows 8.1 Preview New API (JS): addTextTrack New API (JS): msKeys New API (JS): msPlayToPreferredSourceUri New API (JS): msSetMediaKeys New API (JS): onmsneedkey New API (Xaml): SetMediaStreamSource method New API (Xaml): Stretch property New API (Xaml): StretchChanged event New API (Xaml): AreTransportControlsEnabled property New API (Xaml): IsFullWindow property New API (Xaml): PlayToPreferredSourceUri proper...Outlook 2013 Add-In: Multiple Calendars: As per popular request, this new version includes: - Support for multiple calendars. This can be enabled in the configuration by choosing which ones to show/hide appointments from. In some cases (public folders) it may time out and crash, and so far it only supports "My Calendars", so not shared ones yet. Also they're currently shown in the same font/color so there are no confusions with color categories, but please drop me a line on any suggestions you'd like to see implemented. - Added fri...GoAgent GUI: GoAgent GUI 1.2.0 ???: *???????,??????????????,?????????????? ????????* ????????(Beta) Beta????:https://goagent.codeplex.com/workitem/list/basic ??????:uygw@outlook.com ????:https://goagent.codeplex.com/documentation ?????????????????。Circuit Diagram: Circuit Diagram 2.0 Beta 2: New in this release: Show grid in editor Cut/copy/paste support Bug fixesAscend 3D: Ascend (2013-07-17): Ascend 2.1 Animation bugfixes and speed/robustness improvements Added compatibility for multiple top-level bones on armatures Ascend Blender Exporter 2.1 Removed need to create parent-child relationship between armature and skinning mesh Added support for exporting multiple top-level bones on armatures AscendViewer 1.0.4 Updated to use latest version of Ascend libraryCommunity TFS Build Extensions: July 2013: The July 2013 release contains VS2010 Activities(target .NET 4.0) VS2012 Activities (target .NET 4.5) VS2013 Activities (target .NET 4.5.1) Community TFS Build Manager VS2012 The Community TFS Build Manager can also be found in the Visual Studio Gallery here where updates will first become available. A version supporting VS2010 is also available in the Gallery here.smoketestgit1: new release: Wiki Markup Guide bold italics underline Heading 1 Heading 2 Bullet List Bullet List 2 Number List Number List 2 http://www.example.com Do not apply formattingsmoketesthg: new release: Wiki Markup Guide bold italics underline Heading 1 Heading 2 Bullet List Bullet List 2 Number List Number List 2 http://www.example.com Do not apply formattingsmoketesttfs: new release: Wiki Markup Guide bold italics underline Heading 1 Heading 2 Bullet List Bullet List 2 Number List Number List 2 http://www.example.com Do not apply formattingdatajs - JavaScript Library for data-centric web applications: datajs version 1.1.1: datajs is a cross-browser and UI agnostic JavaScript library that enables data-centric web applications with the following features: OData client that enables CRUD operations including batching and metadata support using both ATOM and JSON payloads. Single store abstraction that provides a common API on top of HTML5 local storage technologies. Data cache component that allows reading data ranges from a collection and storing them locally to reduce the number of network requests. Changes ...Orchard Project: Orchard 1.7 RC: Planning releasedTerminals: Version 3.1 - Release: Changes since version 3.0:15992 Unified usage of icons in user interface Added context menu in Organize favorites grid Fixed:34219 34210 34223 33981 34209 Install notes:No changes in database (use database from release 3.0) No upgrade of configuration, passwords, credentials or favorites See also upgrade notes for release 3.0Media Companion: Media Companion MC3.573b: XBMC Link - Let MC update your XBMC Library Fixes in place, Enjoy the XBMC Link function Well, Phil's been busy in the background, and come up with a Great new feature for Media Companion. Currently only implemented for movies. Once we're happy that's working with no issues, we'll extend the functionality to include TV shows. All the help for this is build into the application. Go to General Preferences - XBMC Link for details. Help us make it better* Currently only tested on local and ...Wsus Package Publisher: Release v1.2.1307.15: Fix a bug where WPP crash if 'ShowPendingUpdates' is start with wrong credentials. Fix a bug where WPP crash if ArrivalDateAfter and ArrivalDateBefore is equal in the ComputerView. Add a filter in the ComputerView. (Thanks to NorbertFe for this feature request) Add an option, when right-clicking on a computer, you can ask for display the current logon user of the remote computer. Add an option in settings to choose if WPP ping remote computers using IPv4, IPv6 or IPv6 and, if fail, IP...Lab Of Things: vBeta1: Initial release of LoTVidCoder: 1.4.23: New in 1.4.23 Added French translation. Fixed non-x264 video encoders not sticking in video tab. New in 1.4 Updated HandBrake core to 0.9.9 Blu-ray subtitle (PGS) support Additional framerates: 30, 50, 59.94, 60 Additional sample rates: 8, 11.025, 12 and 16 kHz Additional higher bitrates for audio Same as Source Constant Framerate 24-bit FLAC encoding Added Windows Phone 8 and Apple TV 3 presets Introduced process isolation for encodes. Now if HandBrake crashes, VidCoder will ...New Projects[C#]A Complete MySQL Manager Project: An open-source MySQL database manager oriented to multi-threading environments, supporting to create an entire database from scratch and edit it.bCal Javascript Calendar Generator: Using this simple javascript library, you can create simple navigable calendars in your website with just one line of user code.Better Network: Tools to delete network profile and network lists in Windows 8.C# Intellisense for Notepad++: 'CS-Script Intellisense' is a real C# intellisense solution based on CS-Script and ICSharpCode.NRefactory/Mono.Cecil.DARF: Dynamic Application Runtime Framework: A set of tools and libraries which help software developers create fully distributed and component-based applications. FeiXinV5: Just TestFollower Catcher: Game made for the 2012 Windows 8 Megathon. Second place in Madrid's local competition.MeeOS .NET: El primer sistema operativo GNU GPL en español.Music Vault: Music Vault is program to store your favorite music in one place, you can in any time move all your music library by moving only one file.MVC uTorrent: This is an ASP.NET MVC uTorrent front end, that utilises the uTorrent API. The main features: - Single page application - Can be hosted in IISMyTaskManager: This project Related to distribute the task to log in users OO2RDF: OO2RDF is a framework for data triplification. P(y)rotein Subcellular Location Image Database: A library that allows communication with an OMERO database, an open-source software for storage and manipulation of biological images.PE Toolbox: PE Toolbox ? ????? ?? ???????????, ????? ??????? ??? ??????????? ?? ?????. ???? ????? ??????????? ???????: - PE IFE (Importing from Excel) PeGscan: *PeGscan*ScriptZilla: ScriptZilla is an Free Editor for Windows with more Than 23 Languages.Sharepoint : Reconciliate SSRS Reports and Datasets with datasources Powershell: Powershell to link datasources to SSRS reports and datasetsSync-Moped: The idea behind the "Sync-Moped" is to synchronize two directories with backup functionality.System.Time: System.Time provides a type for .NET that allows the managing of a time in System.String, System.DateTime and System.TimeSpan form at the same time.Text Analytics: Project summary will be added later.Tibia Universal MC .NET: This tool was written as an attempt to port the [url:http://code.google.com/p/xenomc/] to the .NET Framework.VRFramework: VR Framework is a system for creating a virtual reality games using your PC, and Android smart phone, and Unity 3D.

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  • Windows Azure Mobile Services: New support for iOS apps, Facebook/Twitter/Google identity, Emails, SMS, Blobs, Service Bus and more

    - by ScottGu
    A few weeks ago I blogged about Windows Azure Mobile Services - a new capability in Windows Azure that makes it incredibly easy to connect your client and mobile applications to a scalable cloud backend. Earlier today we delivered a number of great improvements to Windows Azure Mobile Services.  New features include: iOS support – enabling you to connect iPhone and iPad apps to Mobile Services Facebook, Twitter, and Google authentication support with Mobile Services Blob, Table, Queue, and Service Bus support from within your Mobile Service Sending emails from your Mobile Service (in partnership with SendGrid) Sending SMS messages from your Mobile Service (in partnership with Twilio) Ability to deploy mobile services in the West US region All of these improvements are now live in production and available to start using immediately. Below are more details on them: iOS Support This week we delivered initial support for connecting iOS based devices (including iPhones and iPads) to Windows Azure Mobile Services.  Like the rest of our Windows Azure SDK, we are delivering the native iOS libraries to enable this under an open source (Apache 2.0) license on GitHub.  We’re excited to get your feedback on this new library through our forum and GitHub issues list, and we welcome contributions to the SDK. To create a new iOS app or connect an existing iOS app to your Mobile Service, simply select the “iOS” tab within the Quick Start view of a Mobile Service within the Windows Azure Portal – and then follow either the “Create a new iOS app” or “Connect to an existing iOS app” link below it: Clicking either of these links will expand and display step-by-step instructions for how to build an iOS application that connects with your Mobile Service: Read this getting started tutorial to walkthrough how you can build (in less than 5 minutes) a simple iOS “Todo List” app that stores data in Windows Azure.  Then follow the below tutorials to explore how to use the iOS client libraries to store data and authenticate users. Get Started with data in Mobile Services for iOS Get Started with authentication in Mobile Services for iOS Facebook, Twitter, and Google Authentication Support Our initial preview of Mobile Services supported the ability to authenticate users of mobile apps using Microsoft Accounts (formerly called Windows Live ID accounts).  This week we are adding the ability to also authenticate users using Facebook, Twitter, and Google credentials.  These are now supported with both Windows 8 apps as well as iOS apps (and a single app can support multiple forms of identity simultaneously – so you can offer your users a choice of how to login). The below tutorials walkthrough how to register your Mobile Service with an identity provider: How to register your app with Microsoft Account How to register your app with Facebook How to register your app with Twitter How to register your app with Google The tutorials above walkthrough how to obtain a client ID and a secret key from the identity provider. You can then click on the “Identity” tab of your Mobile Service (within the Windows Azure Portal) and save these values to enable server-side authentication with your Mobile Service: You can then write code within your client or mobile app to authenticate your users to the Mobile Service.  For example, below is the code you would write to have them login to the Mobile Service using their Facebook credentials: Windows Store App (using C#): var user = await App.MobileService                     .LoginAsync(MobileServiceAuthenticationProvider.Facebook); iOS app (using Objective C): UINavigationController *controller = [self.todoService.client     loginViewControllerWithProvider:@"facebook"     completion:^(MSUser *user, NSError *error) {        //... }]; Learn more about authenticating Mobile Services using Microsoft Account, Facebook, Twitter, and Google from these tutorials: Get started with authentication in Mobile Services for Windows Store (C#) Get started with authentication in Mobile Services for Windows Store (JavaScript) Get started with authentication in Mobile Services for iOS Using Windows Azure Blob, Tables and ServiceBus with your Mobile Services Mobile Services provide a simple but powerful way to add server logic using server scripts. These scripts are associated with the individual CRUD operations on your mobile service’s tables. Server scripts are great for data validation, custom authorization logic (e.g. does this user participate in this game session), augmenting CRUD operations, sending push notifications, and other similar scenarios.   Server scripts are written in JavaScript and are executed in a secure server-side scripting environment built using Node.js.  You can edit these scripts and save them on the server directly within the Windows Azure Portal: In this week’s release we have added the ability to work with other Windows Azure services from your Mobile Service server scripts.  This is supported using the existing “azure” module within the Windows Azure SDK for Node.js.  For example, the below code could be used in a Mobile Service script to obtain a reference to a Windows Azure Table (after which you could query it or insert data into it):     var azure = require('azure');     var tableService = azure.createTableService("<< account name >>",                                                 "<< access key >>"); Follow the tutorials on the Windows Azure Node.js dev center to learn more about working with Blob, Tables, Queues and Service Bus using the azure module. Sending emails from your Mobile Service In this week’s release we have also added the ability to easily send emails from your Mobile Service, building on our partnership with SendGrid. Whether you want to add a welcome email upon successful user registration, or make your app alert you of certain usage activities, you can do this now by sending email from Mobile Services server scripts. To get started, sign up for SendGrid account at http://sendgrid.com . Windows Azure customers receive a special offer of 25,000 free emails per month from SendGrid. To sign-up for this offer, or get more information, please visit http://www.sendgrid.com/azure.html . One you signed up, you can add the following script to your Mobile Service server scripts to send email via SendGrid service:     var sendgrid = new SendGrid('<< account name >>', '<< password >>');       sendgrid.send({         to: '<< enter email address here >>',         from: '<< enter from address here >>',         subject: 'New to-do item',         text: 'A new to-do was added: ' + item.text     }, function (success, message) {         if (!success) {             console.error(message);         }     }); Follow the Send email from Mobile Services with SendGrid tutorial to learn more. Sending SMS messages from your Mobile Service SMS is a key communication medium for mobile apps - it comes in handy if you want your app to send users a confirmation code during registration, allow your users to invite their friends to install your app or reach out to mobile users without a smartphone. Using Mobile Service server scripts and Twilio’s REST API, you can now easily send SMS messages to your app.  To get started, sign up for Twilio account. Windows Azure customers receive 1000 free text messages when using Twilio and Windows Azure together. Once signed up, you can add the following to your Mobile Service server scripts to send SMS messages:     var httpRequest = require('request');     var account_sid = "<< account SID >>";     var auth_token = "<< auth token >>";       // Create the request body     var body = "From=" + from + "&To=" + to + "&Body=" + message;       // Make the HTTP request to Twilio     httpRequest.post({         url: "https://" + account_sid + ":" + auth_token +              "@api.twilio.com/2010-04-01/Accounts/" + account_sid + "/SMS/Messages.json",         headers: { 'content-type': 'application/x-www-form-urlencoded' },         body: body     }, function (err, resp, body) {         console.log(body);     }); I’m excited to be speaking at the TwilioCon conference this week, and will be showcasing some of the cool scenarios you can now enable with Twilio and Windows Azure Mobile Services. Mobile Services availability in West US region Our initial preview of Windows Azure Mobile Services was only supported in the US East region of Windows Azure.  As with every Windows Azure service, overtime we will extend Mobile Services to all Windows Azure regions. With this week’s preview update we’ve added support so that you can now create your Mobile Service in the West US region as well: Summary The above features are all now live in production and are available to use immediately.  If you don’t already have a Windows Azure account, you can sign-up for a free trial and start using Mobile Services today. Visit the Windows Azure Mobile Developer Center to learn more about how to build apps with Mobile Services. We’ll have even more new features and enhancements coming later this week – including .NET 4.5 support for Windows Azure Web Sites.  Keep an eye out on my blog for details as new features become available. Hope this helps, Scott P.S. In addition to blogging, I am also now using Twitter for quick updates and to share links. Follow me at: twitter.com/scottgu

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  • ASP.NET MVC 2 from Scratch &ndash; Part 1 Listing Data from Database

    - by Max
    Part 1 - Listing Data from Database: Let us now learn ASP.NET MVC 2 from Scratch by actually developing a front end website for the Chinook database, which is an alternative to the traditional Northwind database. You can get the Chinook database from here. As always the best way to learn something is by working on it and doing something. The Chinook database has the following schema, a quick look will help us implementing the application in a efficient way. Let us first implement a grid view table with the list of Employees with some details, this table also has the Details, Edit and Delete buttons on it to do some operations. This is series of post will concentrate on creating a simple CRUD front end for Chinook DB using ASP.NET MVC 2. In this post, we will look at listing all the possible Employees in the database in a tabular format, from which, we can then edit and delete them as required. In this post, we will concentrate on setting up our environment and then just designing a page to show a tabular information from the database. We need to first setup the SQL Server database, you can download the required version and then set it up in your localhost. Then we need to add the LINQ to SQL Classes required for us to enable interaction with our database. Now after you do the above step, just use your Server Explorer in VS 2010 to actually navigate to the database, expand the tables node and then drag drop all the tables onto the Object Relational Designer space and you go you will have the tables visualized as classes. As simple as that. Now for the purpose of displaying the data from Employee in a table, we will show only the EmployeeID, Firstname and lastname. So let us create a class to hold this information. So let us add a new class called EmployeeList to the ViewModels. We will send this data model to the View and this can be displayed in the page. public class EmployeeList { public int EmployeeID { get; set; } public string Firstname { get; set; } public string Lastname { get; set; } public EmployeeList(int empID, string fname, string lname) { this.EmployeeID = empID; this.Firstname = fname; this.Lastname = lname; } } Ok now we have got the backend ready. Let us now look at the front end view now. We will first create a master called Site.Master and reuse it across the site. The Site.Master content will be <%@ Master Language="C#" AutoEventWireup="true" CodeBehind="Site.Master.cs" Inherits="ChinookMvcSample.Views.Shared.Site" %>   <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head id="Head1" runat="server"> <title></title> <style type="text/css"> html { background-color: gray; } .content { width: 880px; position: relative; background-color: #ffffff; min-width: 880px; min-height: 800px; float: inherit; text-align: justify; } </style> <script src="../../Scripts/jquery-1.4.1.min.js" type="text/javascript"></script> <asp:ContentPlaceHolder ID="head" runat="server"> </asp:ContentPlaceHolder> </head> <body> <center> <h1> My Website</h1> <div class="content"> <asp:ContentPlaceHolder ID="body" runat="server"> </asp:ContentPlaceHolder> </div> </center> </body> </html> The backend Site.Master.cs does not contain anything. In the actual Index.aspx view, we add the code to simply iterate through the collection of EmployeeList that was sent to the View via the Controller. So in the top of the Index.aspx view, we have this inherits which says Inherits="System.Web.Mvc.ViewPage<IEnumerable<ChinookMvcSample.ViewModels.EmployeeList>>" In this above line, we dictate that the page is consuming a IEnumerable collection of EmployeeList. So once we specify this and compile the project. Then in our Index.aspx page, we can consume the EmployeeList object and access all its methods and properties. <table class="styled" cellpadding="3" border="0" cellspacing="0"> <tr> <th colspan="3"> </th> <th> First Name </th> <th> Last Name </th> </tr> <% foreach (var item in Model) { %> <tr> <td align="center"> <%: Html.ActionLink("Edit", "Edit", new { id = item.EmployeeID }, new { id = "links" })%> </td> <td align="center"> <%: Html.ActionLink("Details", "Details", new { id = item.EmployeeID }, new { id = "links" })%> </td> <td align="center"> <%: Html.ActionLink("Delete", "Delete", new { id = item.EmployeeID }, new { id = "links" })%> </td> <td> <%: item.Firstname %> </td> <td> <%: item.Lastname %> </td> </tr> <% } %> <tr> <td colspan="5"> <%: Html.ActionLink("Create New", "Create") %> </td> </tr> </table> The Html.ActionLink is a Html Helper to a create a hyperlink in the page, in the one we have used, the first parameter is the text that is to be used for the hyperlink, second one is the action name, third one is the parameter to be passed, last one is the attributes to be added while the hyperlink is rendered in the page. Here we are adding the id=”links” to the hyperlinks that is created in the page. In the index.aspx page, we add some jQuery stuff add alternate row colours and highlight colours for rows on mouse over. Now the Controller that handles the requests and directs the request to the right view. For the index view, the controller would be public ActionResult Index() { //var Employees = from e in data.Employees select new EmployeeList(e.EmployeeId,e.FirstName,e.LastName); //return View(Employees.ToList()); return View(_data.Employees.Select(p => new EmployeeList(p.EmployeeId, p.FirstName, p.LastName))); } Let us also write a unit test using NUnit for the above, just testing EmployeeController’s Index. DataClasses1DataContext _data; public EmployeeControllerTest() { _data = new DataClasses1DataContext("Data Source=(local);Initial Catalog=Chinook;Integrated Security=True"); }   [Test] public void TestEmployeeIndex() { var e = new EmployeeController(_data); var result = e.Index() as ViewResult; var employeeList = result.ViewData.Model; Assert.IsNotNull(employeeList, "Result is null."); } In the first EmployeeControllerTest constructor, we set the data context to be used while running the tests. And then in the actual test, We just ensure that the View results returned by Index is not null. Here is the zip of the entire solution files until this point. Let me know if you have any doubts or clarifications. Cheers! Have a nice day.

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  • Key ATG architecture principles

    - by Glen Borkowski
    Overview The purpose of this article is to describe some of the important foundational concepts of ATG.  This is not intended to cover all areas of the ATG platform, just the most important subset - the ones that allow ATG to be extremely flexible, configurable, high performance, etc.  For more information on these topics, please see the online product manuals. Modules The first concept is called the 'ATG Module'.  Simply put, you can think of modules as the building blocks for ATG applications.  The ATG development team builds the out of the box product using modules (these are the 'out of the box' modules).  Then, when a customer is implementing their site, they build their own modules that sit 'on top' of the out of the box ATG modules.  Modules can be very simple - containing minimal definition, and perhaps a small amount of configuration.  Alternatively, a module can be rather complex - containing custom logic, database schema definitions, configuration, one or more web applications, etc.  Modules generally will have dependencies on other modules (the modules beneath it).  For example, the Commerce Reference Store module (CRS) requires the DCS (out of the box commerce) module. Modules have a ton of value because they provide a way to decouple a customers implementation from the out of the box ATG modules.  This allows for a much easier job when it comes time to upgrade the ATG platform.  Modules are also a very useful way to group functionality into a single package which can be leveraged across multiple ATG applications. One very important thing to understand about modules, or more accurately, ATG as a whole, is that when you start ATG, you tell it what module(s) you want to start.  One of the first things ATG does is to look through all the modules you specified, and for each one, determine a list of modules that are also required to start (based on each modules dependencies).  Once this final, ordered list is determined, ATG continues to boot up.  One of the outputs from the ordered list of modules is that each module can contain it's own classes and configuration.  During boot, the ordered list of modules drives the unified classpath and configpath.  This is what determines which classes override others, and which configuration overrides other configuration.  Think of it as a layered approach. The structure of a module is well defined.  It simply looks like a folder in a filesystem that has certain other folders and files within it.  Here is a list of items that can appear in a module: MyModule: META-INF - this is required, along with a file called MANIFEST.MF which describes certain properties of the module.  One important property is what other modules this module depends on. config - this is typically present in most modules.  It defines a tree structure (folders containing properties files, XML, etc) that maps to ATG components (these are described below). lib - this contains the classes (typically in jarred format) for any code defined in this module j2ee - this is where any web-apps would be stored. src - in case you want to include the source code for this module, it's standard practice to put it here sql - if your module requires any additions to the database schema, you should place that schema here Here's a screenshots of a module: Modules can also contain sub-modules.  A dot-notation is used when referring to these sub-modules (i.e. MyModule.Versioned, where Versioned is a sub-module of MyModule). Finally, it is important to completely understand how modules work if you are going to be able to leverage them effectively.  There are many different ways to design modules you want to create, some approaches are better than others, especially if you plan to share functionality between multiple different ATG applications. Components A component in ATG can be thought of as a single item that performs a certain set of related tasks.  An example could be a ProductViews component - used to store information about what products the current customer has viewed.  Components have properties (also called attributes).  The ProductViews component could have properties like lastProductViewed (stores the ID of the last product viewed) or productViewList (stores the ID's of products viewed in order of their being viewed).  The previous examples of component properties would typically also offer get and set methods used to retrieve and store the property values.  Components typically will also offer other types of useful methods aside from get and set.  In the ProductViewed component, we might want to offer a hasViewed method which will tell you if the customer has viewed a certain product or not. Components are organized in a tree like hierarchy called 'nucleus'.  Nucleus is used to locate and instantiate ATG Components.  So, when you create a new ATG component, it will be able to be found 'within' nucleus.  Nucleus allows ATG components to reference one another - this is how components are strung together to perform meaningful work.  It's also a mechanism to prevent redundant configuration - define it once and refer to it from everywhere. Here is a screenshot of a component in nucleus:  Components can be extremely simple (i.e. a single property with a get method), or can be rather complex offering many properties and methods.  To be an ATG component, a few things are required: a class - you can reference an existing out of the box class or you could write your own a properties file - this is used to define your component the above items must be located 'within' nucleus by placing them in the correct spot in your module's config folder Within the properties file, you will need to point to the class you want to use: $class=com.mycompany.myclass You may also want to define the scope of the class (request, session, or global): $scope=session In summary, ATG Components live in nucleus, generally have links to other components, and provide some meaningful type of work.  You can configure components as well as extend their functionality by writing code. Repositories Repositories (a.k.a. Data Anywhere Architecture) is the mechanism that ATG uses to access data primarily stored in relational databases, but also LDAP or other backend systems.  ATG applications are required to be very high performance, and data access is critical in that if not handled properly, it could create a bottleneck.  ATG's repository functionality has been around for a long time - it's proven to be extremely scalable.  Developers new to ATG need to understand how repositories work as this is a critical aspect of the ATG architecture.   Repositories essentially map relational tables to objects in ATG, as well as handle caching.  ATG defines many repositories out of the box (i.e. user profile, catalog, orders, etc), and this is comprised of both the underlying database schema along with the associated repository definition files (XML).  It is fully expected that implementations will extend / change the out of the box repository definitions, so there is a prescribed approach to doing this.  The first thing to be sure of is to encapsulate your repository definition additions / changes within your own module (as described above).  The other important best practice is to never modify the out of the box schema - in other words, don't add columns to existing ATG tables, just create your own new tables.  These will help ensure you can easily upgrade your application at a later date. xml-combination As mentioned earlier, when you start ATG, the order of the modules will determine the final configpath.  Files within this configpath are 'layered' such that modules on top can override configuration of modules below it.  This is the same concept for repository definition files.  If you want to add a few properties to the out of the box user profile, you simply need to create an XML file containing only your additions, and place it in the correct location in your module.  At boot time, your definition will be combined (hence the term xml-combination) with the lower, out of the box modules, with the result being a user profile that contains everything (out of the box, plus your additions).  Aside from just adding properties, there are also ways to remove and change properties. types of properties Aside from the normal 'database backed' properties, there are a few other interesting types: transient properties - these are properties that are in memory, but not backed by any database column.  These are useful for temporary storage. java-backed properties - by nature, these are transient, but in addition, when you access this property (by called the get method) instead of looking up a piece of data, it performs some logic and returns the results.  'Age' is a good example - if you're storing a birth date on the profile, but your business rules are defined in terms of someones age, you could create a simple java-backed property to look at the birth date and compare it to the current date, and return the persons age. derived properties - this is what allows for inheritance within the repository structure.  You could define a property at the category level, and have the product inherit it's value as well as override it.  This is useful for setting defaults, with the ability to override. caching There are a number of different caching modes which are useful at different times depending on the nature of the data being cached.  For example, the simple cache mode is useful for things like user profiles.  This is because the user profile will typically only be used on a single instance of ATG at one time.  Simple cache mode is also useful for read-only types of data such as the product catalog.  Locked cache mode is useful when you need to ensure that only one ATG instance writes to a particular item at a time - an example would be a customers order.  There are many options in terms of configuring caching which are outside the scope of this article - please refer to the product manuals for more details. Other important concepts - out of scope for this article There are a whole host of concepts that are very important pieces to the ATG platform, but are out of scope for this article.  Here's a brief description of some of them: formhandlers - these are ATG components that handle form submissions by users. pipelines - these are configurable chains of logic that are used for things like handling a request (request pipeline) or checking out an order. special kinds of repositories (versioned, files, secure, ...) - there are a couple different types of repositories that are used in various situations.  See the manuals for more information. web development - JSP/ DSP tag library - ATG provides a traditional approach to developing web applications by providing a tag library called the DSP library.  This library is used throughout your JSP pages to interact with all the ATG components. messaging - a message sub-system used as another way for components to interact. personalization - ability for business users to define a personalized user experience for customers.  See the other blog posts related to personalization.

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  • Text Expansion Awareness for UX Designers: Points to Consider

    - by ultan o'broin
    Awareness of translated text expansion dynamics is important for enterprise applications UX designers (I am assuming all source text for translation is in English, though apps development can takes place in other natural languages too). This consideration goes beyond the standard 'character multiplication' rule and must take into account the avoidance of other layout tricks that a designer might be tempted to try. Follow these guidelines. For general text expansion, remember the simple rule that the shorter the word is in the English, the longer it will need to be in English. See the examples provided by Richard Ishida of the W3C and you'll get the idea. So, forget the 30 percent or one inch minimum expansion rule of the old Forms days. Unfortunately remembering convoluted text expansion rules, based as a percentage of the US English character count can be tough going. Try these: Up to 10 characters: 100 to 200% 11 to 20 characters: 80 to 100% 21 to 30 characters: 60 to 80% 31 to 50 characters: 40 to 60% 51 to 70 characters: 31 to 40% Over 70 characters: 30% (Source: IBM) So it might be easier to remember a rule that if your English text is less than 20 characters then allow it to double in length (200 percent), and then after that assume an increase by half the length of the text (50%). (Bear in mind that ADF can apply truncation rules on some components in English too). (If your text is stored in a database, developers must make sure the table column widths can accommodate the expansion of your text when translated based on byte size for the translated character and not numbers of characters. Use Unicode. One character does not equal one byte in the multilingual enterprise apps world.) Rely on a graceful transformation of translated text. Let all pages to resize dynamically so the text wraps and flow naturally. ADF pages supports this already. Think websites. Don't hard-code alignments. Use Start and End properties on components and not Left or Right. Don't force alignments of components on the page by using texts of a certain length as spacers. Use proper label positioning and anchoring in ADF components or other technologies. Remember that an increase in text length means an increase in vertical space too when pages are resized. So don't hard-code vertical heights for any text areas. Don't be tempted to manually create text or printed reports this way either. They cannot be translated successfully, and are very difficult to maintain in English. Use XML, HTML, RTF and so on. Check out what Oracle BI Publisher offers. Don't force wrapping by using tricks such as /n or /t characters or HTML BR tags or forced page breaks. Once the text is translated the alignment will be destroyed. The position of the breaking character or tag would need to be moved anyway, or even removed. When creating tables, then use table components. Don't use manually created tables that reply on word length to maintain column and row alignment. For example, don't use codeblock elements in HTML; use the proper table elements instead. Once translated, the alignment of manually formatted tabular data is destroyed. Finally, if there is a space restriction, then don't use made-up acronyms, abbreviations or some form of daft text speak to save space. Besides being incomprehensible in English, they may need full translations of the shortened words, even if they can be figured out. Use approved or industry standard acronyms according to the UX style rules, not as a space-saving device. Restricted Real Estate on Mobile Devices On mobile devices real estate is limited. Using shortened text is fine once it is comprehensible. Users in the mobile space prefer brevity too, as they are on the go, performing three-minute tasks, with no time to read lengthy texts. Using fragments and lightning up on unnecessary articles and getting straight to the point with imperative forms of verbs makes sense both on real estate and user experience grounds.

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  • Subterranean IL: Pseudo custom attributes

    - by Simon Cooper
    Custom attributes were designed to make the .NET framework extensible; if a .NET language needs to store additional metadata on an item that isn't expressible in IL, then an attribute could be applied to the IL item to represent this metadata. For instance, the C# compiler uses DecimalConstantAttribute and DateTimeConstantAttribute to represent compile-time decimal or datetime constants, which aren't allowed in pure IL, and FixedBufferAttribute to represent fixed struct fields. How attributes are compiled Within a .NET assembly are a series of tables containing all the metadata for items within the assembly; for instance, the TypeDef table stores metadata on all the types in the assembly, and MethodDef does the same for all the methods and constructors. Custom attribute information is stored in the CustomAttribute table, which has references to the IL item the attribute is applied to, the constructor used (which implies the type of attribute applied), and a binary blob representing the arguments and name/value pairs used in the attribute application. For example, the following C# class: [Obsolete("Please use MyClass2", true)] public class MyClass { // ... } corresponds to the following IL class definition: .class public MyClass { .custom instance void [mscorlib]System.ObsoleteAttribute::.ctor(string, bool) = { string('Please use MyClass2' bool(true) } // ... } and results in the following entry in the CustomAttribute table: TypeDef(MyClass) MemberRef(ObsoleteAttribute::.ctor(string, bool)) blob -> {string('Please use MyClass2' bool(true)} However, there are some attributes that don't compile in this way. Pseudo custom attributes Just like there are some concepts in a language that can't be represented in IL, there are some concepts in IL that can't be represented in a language. This is where pseudo custom attributes come into play. The most obvious of these is SerializableAttribute. Although it looks like an attribute, it doesn't compile to a CustomAttribute table entry; it instead sets the serializable bit directly within the TypeDef entry for the type. This flag is fully expressible within IL; this C#: [Serializable] public class MySerializableClass {} compiles to this IL: .class public serializable MySerializableClass {} For those interested, a full list of pseudo custom attributes is available here. For the rest of this post, I'll be concentrating on the ones that deal with P/Invoke. P/Invoke attributes P/Invoke is built right into the CLR at quite a deep level; there are 2 metadata tables within an assembly dedicated solely to p/invoke interop, and many more that affect it. Furthermore, all the attributes used to specify p/invoke methods in C# or VB have their own keywords and syntax within IL. For example, the following C# method declaration: [DllImport("mscorsn.dll", SetLastError = true)] [return: MarshalAs(UnmanagedType.U1)] private static extern bool StrongNameSignatureVerificationEx( [MarshalAs(UnmanagedType.LPWStr)] string wszFilePath, [MarshalAs(UnmanagedType.U1)] bool fForceVerification, [MarshalAs(UnmanagedType.U1)] ref bool pfWasVerified); compiles to the following IL definition: .method private static pinvokeimpl("mscorsn.dll" lasterr winapi) bool marshal(unsigned int8) StrongNameSignatureVerificationEx( string marshal(lpwstr) wszFilePath, bool marshal(unsigned int8) fForceVerification, bool& marshal(unsigned int8) pfWasVerified) cil managed preservesig {} As you can see, all the p/invoke and marshal properties are specified directly in IL, rather than using attributes. And, rather than creating entries in CustomAttribute, a whole bunch of metadata is emitted to represent this information. This single method declaration results in the following metadata being output to the assembly: A MethodDef entry containing basic information on the method Four ParamDef entries for the 3 method parameters and return type An entry in ModuleRef to mscorsn.dll An entry in ImplMap linking ModuleRef and MethodDef, along with the name of the function to import and the pinvoke options (lasterr winapi) Four FieldMarshal entries containing the marshal information for each parameter. Phew! Applying attributes Most of the time, when you apply an attribute to an element, an entry in the CustomAttribute table will be created to represent that application. However, some attributes represent concepts in IL that aren't expressible in the language you're coding in, and can instead result in a single bit change (SerializableAttribute and NonSerializedAttribute), or many extra metadata table entries (the p/invoke attributes) being emitted to the output assembly.

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  • More SQL Smells

    - by Nick Harrison
    Let's continue exploring some of the SQL Smells from Phil's list. He has been putting together. Datatype mis-matches in predicates that rely on implicit conversion.(Plamen Ratchev) This is a great example poking holes in the whole theory of "If it works it's not broken" Queries will this probably will generally work and give the correct response. In fact, without careful analysis, you probably may be completely oblivious that there is even a problem. This subtle little problem will needlessly complicate queries and slow them down regardless of the indexes applied. Consider this example: CREATE TABLE [dbo].[Page](     [PageId] [int] IDENTITY(1,1) NOT NULL,     [Title] [varchar](75) NOT NULL,     [Sequence] [int] NOT NULL,     [ThemeId] [int] NOT NULL,     [CustomCss] [text] NOT NULL,     [CustomScript] [text] NOT NULL,     [PageGroupId] [int] NOT NULL;  CREATE PROCEDURE PageSelectBySequence ( @sequenceMin smallint , @sequenceMax smallint ) AS BEGIN SELECT [PageId] , [Title] , [Sequence] , [ThemeId] , [CustomCss] , [CustomScript] , [PageGroupId] FROM [CMS].[dbo].[Page] WHERE Sequence BETWEEN @sequenceMin AND @SequenceMax END  Note that the Sequence column is defined as int while the sequence parameter is defined as a small int. The problem is that the database may have to do a lot of type conversions to evaluate the query. In some cases, this may even negate the indexes that you have in place. Using Correlated subqueries instead of a join   (Dave_Levy/ Plamen Ratchev) There are two main problems here. The first is a little subjective, since this is a non-standard way of expressing the query, it is harder to understand. The other problem is much more objective and potentially problematic. You are taking much of the control away from the optimizer. Written properly, such a query may well out perform a corresponding query written with traditional joins. More likely than not, performance will degrade. Whenever you assume that you know better than the optimizer, you will most likely be wrong. This is the fundmental problem with any hint. Consider a query like this:  SELECT Page.Title , Page.Sequence , Page.ThemeId , Page.CustomCss , Page.CustomScript , PageEffectParams.Name , PageEffectParams.Value , ( SELECT EffectName FROM dbo.Effect WHERE EffectId = dbo.PageEffects.EffectId ) AS EffectName FROM Page INNER JOIN PageEffect ON Page.PageId = PageEffects.PageId INNER JOIN PageEffectParam ON PageEffects.PageEffectId = PageEffectParams.PageEffectId  This can and should be written as:  SELECT Page.Title , Page.Sequence , Page.ThemeId , Page.CustomCss , Page.CustomScript , PageEffectParams.Name , PageEffectParams.Value , EffectName FROM Page INNER JOIN PageEffect ON Page.PageId = PageEffects.PageId INNER JOIN PageEffectParam ON PageEffects.PageEffectId = PageEffectParams.PageEffectId INNER JOIN dbo.Effect ON dbo.Effects.EffectId = dbo.PageEffects.EffectId  The correlated query may just as easily show up in the where clause. It's not a good idea in the select clause or the where clause. Few or No comments. This one is a bit more complicated and controversial. All comments are not created equal. Some comments are helpful and need to be included. Other comments are not necessary and may indicate a problem. I tend to follow the rule of thumb that comments that explain why are good. Comments that explain how are bad. Many people may be shocked to hear the idea of a bad comment, but hear me out. If a comment is needed to explain what is going on or how it works, the logic is too complex and needs to be simplified. Comments that explain why are good. Comments may explain why the sql is needed are good. Comments that explain where the sql is used are good. Comments that explain how tables are related should not be needed if the sql is well written. If they are needed, you need to consider reworking the sql or simplify your data model. Use of functions in a WHERE clause. (Anil Das) Calling a function in the where clause will often negate the indexing strategy. The function will be called for every record considered. This will often a force a full table scan on the tables affected. Calling a function will not guarantee that there is a full table scan, but there is a good chance that it will. If you find that you often need to write queries using a particular function, you may need to add a column to the table that has the function already applied.

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  • Migrating SQL Server Databases – The DBA’s Checklist (Part 3)

    - by Sadequl Hussain
    Continuing from Part 2 of the Database Migration Checklist series: Step 10: Full-text catalogs and full-text indexing This is one area of SQL Server where people do not seem to take notice unless something goes wrong. Full-text functionality is a specialised area in database application development and is not usually implemented in your everyday OLTP systems. Nevertheless, if you are migrating a database that uses full-text indexing on one or more tables, you need to be aware a few points. First of all, SQL Server 2005 now allows full-text catalog files to be restored or attached along with the rest of the database. However, after migration, if you are unable to look at the properties of any full-text catalogs, you are probably better off dropping and recreating it. You may also get the following error messages along the way: Msg 9954, Level 16, State 2, Line 1 The Full-Text Service (msftesql) is disabled. The system administrator must enable this service. This basically means full text service is not running (disabled or stopped) in the destination instance. You will need to start it from the Configuration Manager. Similarly, if you get the following message, you will also need to drop and recreate the catalog and populate it. Msg 7624, Level 16, State 1, Line 1 Full-text catalog ‘catalog_name‘ is in an unusable state. Drop and re-create this full-text catalog. A full population of full-text indexes can be a time and resource intensive operation. Obviously you will want to schedule it for low usage hours if the database is restored in an existing production server. Also, bear in mind that any scheduled job that existed in the source server for populating the full text catalog (e.g. nightly process for incremental update) will need to be re-created in the destination. Step 11: Database collation considerations Another sticky area to consider during a migration is the collation setting. Ideally you would want to restore or attach the database in a SQL Server instance with the same collation. Although not used commonly, SQL Server allows you to change a database’s collation by using the ALTER DATABASE command: ALTER DATABASE database_name COLLATE collation_name You should not be using this command for no reason as it can get really dangerous.  When you change the database collation, it does not change the collation of the existing user table columns.  However the columns of every new table, every new UDT and subsequently created variables or parameters in code will use the new setting. The collation of every char, nchar, varchar, nvarchar, text or ntext field of the system tables will also be changed. Stored procedure and function parameters will be changed to the new collation and finally, every character-based system data type and user defined data types will also be affected. And the change may not be successful either if there are dependent objects involved. You may get one or multiple messages like the following: Cannot ALTER ‘object_name‘ because it is being referenced by object ‘dependent_object_name‘. That is why it is important to test and check for collation related issues. Collation also affects queries that use comparisons of character-based data.  If errors arise due to two sides of a comparison being in different collation orders, the COLLATE keyword can be used to cast one side to the same collation as the other. Continues…

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  • SQL SERVER – master Database Log File Grew Too Big

    - by pinaldave
    Couple of the days ago, I received following email and I find this email very interesting and I feel like sharing with all of you. Note: Please read the whole email before providing your suggestions. “Hi Pinal, If you can share these details on your blog, it will help many. We understand the value of the master database and we take its regular back up (everyday midnight). Yesterday we noticed that our master database log file has grown very large. This is very first time that we have encountered such an issue. The master database is in simple recovery mode; so we assumed that it will never grow big; however, we now have a big log file. We ran the following command USE [master] GO DBCC SHRINKFILE (N'mastlog' , 0, TRUNCATEONLY) GO We know this command will break the chains of LSN but as per our understanding; it should not matter as we are in simple recovery model.     After running this, the log file becomes very small. Just to be cautious, we took full backup of the master database right away. We totally understand that this is not the normal practice; so if you are going to tell us the same, we are aware of it. However, here is the question for you? What operation in master database would have caused our log file to grow too large? Thanks, [name and company name removed as per request]“ Here was my response to them: “Hi [name removed], It is great that you are aware of all the right steps and method. Taking full backup when you are not sure is always a good practice. Regarding your question what could have caused your master database log to grow larger, let me try to guess what could have happened. Do you have any user table in the master database? If yes, this is not recommended and also NOT a good practice. If have user tables in master database and you are doing any long operation (may be lots of insert, update, delete or rebuilding them), then it can cause this situation. You have made me curious about your scenario; do revert back. Kind Regards, Pinal” Within few minutes I received reply: “That was it Pinal. We had one of the maintenance task log tables created in the master table, which had many long transactions during the night. We moved it to newly created database named ‘maintenance’, and we will keep you updated.” I was very glad to receive the email. I do not suggest that any user table should be created in the master database. It should be left alone from user objects. Now here is the question for you – can you think of any other reason for master log file growth? Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Backup and Restore, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • BIP BIServer Query Debug

    - by Tim Dexter
    With some help from Bryan, I have uncovered a way of being able to debug or at least log what BIServer is doing when BIP sends it a query request. This is not for those of you querying the database directly but if you are using the BIServer and its datamodel to fetch data for a BIP report. If you have written or used the query builder against BIServer and when you run the report it chokes with a cryptic message, that you have no clue about, read on. When BIP runs a piece of BIServer logical SQL to fetch data. It does not appear to validate it, it just passes it through, so what is BIServer doing on its end? As you may know, you are not writing regular physical sql its actually logical sql e.g. select Jobs."Job Title" as "Job Title", Employees."Last Name" as "Last Name", Employees.Salary as Salary, Locations."Department Name" as "Department Name", Locations."Country Name" as "Country Name", Locations."Region Name" as "Region Name" from HR.Locations Locations, HR.Employees Employees, HR.Jobs Jobs The tables might not even be a physical tables, we don't care, that's what the BIServer and its model are for. You have put all the effort into building the model, just go get me the data from where ever it might be. The BIServer takes the logical sql and uses its vast brain to work out what the physical SQL is, executes it and passes the result back to BIP. select distinct T32556.JOB_TITLE as c1, T32543.LAST_NAME as c2, T32543.SALARY as c3, T32537.DEPARTMENT_NAME as c4, T32532.COUNTRY_NAME as c5, T32577.REGION_NAME as c6 from JOBS T32556, REGIONS T32577, COUNTRIES T32532, LOCATIONS T32569, DEPARTMENTS T32537, EMPLOYEES T32543 where ( T32532.COUNTRY_ID = T32569.COUNTRY_ID and T32532.REGION_ID = T32577.REGION_ID and T32537.DEPARTMENT_ID = T32543.DEPARTMENT_ID and T32537.LOCATION_ID = T32569.LOCATION_ID and T32543.JOB_ID = T32556.JOB_ID ) Not a very tough example I know but you get the idea. How do I know what the BIServer is up to? How can I find out what the issue might be if BIServer chokes on my query? There are a couple of steps: In the Administrator tool you need to set the logging level for the Administrator user to something greater than the default '0'. '7' is going to give you the max. Just remember to take it back down after you have finished the debug. I needed to bounce my BIServer service Now here's the secret sauce. Prefix the following to your BIP query set variable LOGLEVEL = 7; Set the log level to that you have in the admin tool Now run your BIP report. With the prefix in place; BIServer will write to the NQQuery.log file. This is located in the ./OracleBI/server/Log directory. In there you are going to find the complete process the BIServer has gone through to try and get the data back for you A quick note, if the BIServer can, its going to hit that great BIEE cache to get your data and you may not see the full log. IF this is the case. Get inot hte Administration page (via the browser login) and clear out your BIP report cursor. Then re-run. This will hopefully help out if you are trying to debug that annoying BIP report that will not run or is getting some strange data. Don't forget to turn that logging level back down once you are done. This will avoid the DBA screaming at you for sucking up all the disk space on the system.

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  • Lies, damned lies, and statistics Part 2

    - by Maria Colgan
    There was huge interest in our OOW session last year on Managing Optimizer Statistics. It seems statistics and the maintenance of them continues to baffle people. In order to help dispel the mysteries surround statistics management we have created a two part white paper series on Optimizer statistics.  Part one of this series was released in November last years and describes in detail, with worked examples, the different concepts of Optimizer statistics. Today we have published part two of the series, which focuses on the best practices for gathering statistics, and examines specific use cases including, the fears that surround histograms and statistics management of volatile tables like Global Temporary Tables. Here is a quick look at the Introduction and the start of the paper. You can find the full paper here. Happy Reading! Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Times New Roman","serif";} Introduction The Oracle Optimizer examines all of the possible plans for a SQL statement and picks the one with the lowest cost, where cost represents the estimated resource usage for a given plan. In order for the Optimizer to accurately determine the cost for an execution plan it must have information about all of the objects (table and indexes) accessed in the SQL statement as well as information about the system on which the SQL statement will be run. This necessary information is commonly referred to as Optimizer statistics. Understanding and managing Optimizer statistics is key to optimal SQL execution. Knowing when and how to gather statistics in a timely manner is critical to maintaining acceptable performance. This whitepaper is the second of a two part series on Optimizer statistics. The first part of this series, Understanding Optimizer Statistics, focuses on the concepts of statistics and will be referenced several times in this paper as a source of additional information. This paper will discuss in detail, when and how to gather statistics for the most common scenarios seen in an Oracle Database. The topics are · How to gather statistics · When to gather statistics · Improving the efficiency of gathering statistics · When not to gather statistics · Gathering other types of statistics How to gather statistics The preferred method for gathering statistics in Oracle is to use the supplied automatic statistics-gathering job. Automatic statistics gathering job The job collects statistics for all database objects, which are missing statistics or have stale statistics by running an Oracle AutoTask task during a predefined maintenance window. Oracle internally prioritizes the database objects that require statistics, so that those objects, which most need updated statistics, are processed first. The automatic statistics-gathering job uses the DBMS_STATS.GATHER_DATABASE_STATS_JOB_PROC procedure, which uses the same default parameter values as the other DBMS_STATS.GATHER_*_STATS procedures. The defaults are sufficient in most cases. However, it is occasionally necessary to change the default value of one of the statistics gathering parameters, which can be accomplished by using the DBMS_STATS.SET_*_PREF procedures. Parameter values should be changed at the smallest scope possible, ideally on a per-object bases. You can find the full paper here. Happy Reading! +Maria Colgan

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  • Finding the maximum value/date across columns

    - by AtulThakor
    While working on some code recently I discovered a neat little trick to find the maximum value across several columns….. So the starting point was finding the maximum date across several related tables and storing the maximum value against an aggregated record. Here's the sample setup code: USE TEMPDB IF OBJECT_ID('CUSTOMER') IS NOT NULL BEGIN DROP TABLE CUSTOMER END IF OBJECT_ID('ADDRESS') IS NOT NULL BEGIN DROP TABLE ADDRESS END IF OBJECT_ID('ORDERS') IS NOT NULL BEGIN DROP TABLE ORDERS END SELECT 1 AS CUSTOMERID, 'FREDDY KRUEGER' AS NAME, GETDATE() - 10 AS DATEUPDATED INTO CUSTOMER SELECT 100000 AS ADDRESSID, 1 AS CUSTOMERID, '1428 ELM STREET' AS ADDRESS, GETDATE() -5 AS DATEUPDATED INTO ADDRESS SELECT 123456 AS ORDERID, 1 AS CUSTOMERID, GETDATE() + 1 AS DATEUPDATED INTO ORDERS .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; }   Now the code used a function to determine the maximum date, this performed poorly. After considering pivoting the data I opted for a case statement, this seemed reasonable until I discovered other areas which needed to determine the maximum date between 5 or more tables which didn't scale well. The final solution involved using the value clause within a sub query as followed. SELECT C.CUSTOMERID, A.ADDRESSID, (SELECT MAX(DT) FROM (Values(C.DATEUPDATED),(A.DATEUPDATED),(O.DATEUPDATED)) AS VALUE(DT)) FROM CUSTOMER C INNER JOIN ADDRESS A ON C.CUSTOMERID = A.CUSTOMERID INNER JOIN ORDERS O ON O.CUSTOMERID = C.CUSTOMERID .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } As you can see the solution scales well and can take advantage of many of the aggregate functions!

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  • Introducing MySQL for Excel

    - by Javier Treviño
    As part of the new product initiatives of the MySQL on Windows group we released a tool that makes the task of getting data in and out of a MySQL Database very friendly and intuitive, and we paired it with one of the preferred applications for data analysis and manipulation in Windows platforms, MS Excel. Welcome to MySQL for Excel, an add-in that is installed and accessed from within the MS Excel’s Data tab offering a wizard-like interface arranged in an elegant yet simple way to help users browse MySQL Schemas, Tables, Views and Procedures and perform data operations against them using MS Excel as the vehicle to drive the data in and out MySQL Databases. One of the coolest features we had in mind designing MySQL for Excel is simplicity. MS Excel is simple and easy to work with, thus liked by many Windows users because they don’t have to be software gurus to use it.  We applied the same principle by targeting MySQL for Excel to any kind of user, so if you are already familiarized with Excel’s interface you will find yourself working with MySQL data in no time. MySQL for Excel is shipped within the MySQL Installer as one of the tools in the suite; if prerequisites are already installed (.NET Framework 4.0, Visual Studio Tools for Office 4.0 and of course MS Office), installing the add-in involves a very few clicks and no further setup to use it. Being an Excel Add-In there is no executable file involved after the installation, running MS Excel and opening the add-in from its Data tab is all that is required. MySQL for Excel automatically integrates with MySQL Workbench (if installed) to share the same connections to MySQL Server installations, that way connections are defined just once in either product saving time.  Opening the Add-In brings the Welcome Panel at the right side of the Excel main window from which connections to MySQL Servers are shown grouped by Local VS Remote connections; then users can open any of those connections by double-clicking it and entering the password of the used account.  Additionally a user can create a connection by clicking on the New Connection action label or edit connections through MySQL Workbench (if installed) by clicking on the Manage Connections action label. Once a connection is opened, the Schema Selection panel is shown, at the top of it the selected connection (connection name, hostname/IP and username). Just below, a list of schemas is displayed where User Schemas are grouped first followed by System Schemas; users can double-click any selected schema to go to the next panel or select a schema and clicking the Next > button. Users can alternatively click on the < Back button to go back to the Welcome Panel to close the current connection and open a new one; also by clicking the Create New Schema action label they can create an empty new schema. Once a schema is opened the DB Object Selection panel is shown, this is actually the place where the fun stuff happens; from here users are able to perform actions against MySQL Tables, Views and Procedures. ">The actions available here are about importing data from a MySQL Table, View or Procedure to Excel, exporting Excel data to a new MySQL Table, appending Excel data to an existing MySQL Table or editing a MySQL Table’s data by using an Excel Worksheet as a user interface to update data in any row/column, insert new rows or delete existing rows in a very easy and friendly way. More blog posts will follow describing all of these actions, so stay tuned! Remember that your feedback is very important for us, so drop us a message: · MySQL on Windows (this) Blog - https://blogs.oracle.com/MySqlOnWindows/ · Forum - http://forums.mysql.com/list.php?172 · Facebook - http://www.facebook.com/mysql Cheers!

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  • Anatomy of a .NET Assembly - Signature encodings

    - by Simon Cooper
    If you've just joined this series, I highly recommend you read the previous posts in this series, starting here, or at least these posts, covering the CLR metadata tables. Before we look at custom attribute encoding, we first need to have a brief look at how signatures are encoded in an assembly in general. Signature types There are several types of signatures in an assembly, all of which share a common base representation, and are all stored as binary blobs in the #Blob heap, referenced by an offset from various metadata tables. The types of signatures are: Method definition and method reference signatures. Field signatures Property signatures Method local variables. These are referenced from the StandAloneSig table, which is then referenced by method body headers. Generic type specifications. These represent a particular instantiation of a generic type. Generic method specifications. Similarly, these represent a particular instantiation of a generic method. All these signatures share the same underlying mechanism to represent a type Representing a type All metadata signatures are based around the ELEMENT_TYPE structure. This assigns a number to each 'built-in' type in the framework; for example, Uint16 is 0x07, String is 0x0e, and Object is 0x1c. Byte codes are also used to indicate SzArrays, multi-dimensional arrays, custom types, and generic type and method variables. However, these require some further information. Firstly, custom types (ie not one of the built-in types). These require you to specify the 4-byte TypeDefOrRef coded token after the CLASS (0x12) or VALUETYPE (0x11) element type. This 4-byte value is stored in a compressed format before being written out to disk (for more excruciating details, you can refer to the CLI specification). SzArrays simply have the array item type after the SZARRAY byte (0x1d). Multidimensional arrays follow the ARRAY element type with a series of compressed integers indicating the number of dimensions, and the size and lower bound of each dimension. Generic variables are simply followed by the index of the generic variable they refer to. There are other additions as well, for example, a specific byte value indicates a method parameter passed by reference (BYREF), and other values indicating custom modifiers. Some examples... To demonstrate, here's a few examples and what the resulting blobs in the #Blob heap will look like. Each name in capitals corresponds to a particular byte value in the ELEMENT_TYPE or CALLCONV structure, and coded tokens to custom types are represented by the type name in curly brackets. A simple field: int intField; FIELD I4 A field of an array of a generic type parameter (assuming T is the first generic parameter of the containing type): T[] genArrayField FIELD SZARRAY VAR 0 An instance method signature (note how the number of parameters does not include the return type): instance string MyMethod(MyType, int&, bool[][]); HASTHIS DEFAULT 3 STRING CLASS {MyType} BYREF I4 SZARRAY SZARRAY BOOLEAN A generic type instantiation: MyGenericType<MyType, MyStruct> GENERICINST CLASS {MyGenericType} 2 CLASS {MyType} VALUETYPE {MyStruct} For more complicated examples, in the following C# type declaration: GenericType<T> : GenericBaseType<object[], T, GenericType<T>> { ... } the Extends field of the TypeDef for GenericType will point to a TypeSpec with the following blob: GENERICINST CLASS {GenericBaseType} 3 SZARRAY OBJECT VAR 0 GENERICINST CLASS {GenericType} 1 VAR 0 And a static generic method signature (generic parameters on types are referenced using VAR, generic parameters on methods using MVAR): TResult[] GenericMethod<TInput, TResult>( TInput, System.Converter<TInput, TOutput>); GENERIC 2 2 SZARRAY MVAR 1 MVAR 0 GENERICINST CLASS {System.Converter} 2 MVAR 0 MVAR 1 As you can see, complicated signatures are recursively built up out of quite simple building blocks to represent all the possible variations in a .NET assembly. Now we've looked at the basics of normal method signatures, in my next post I'll look at custom attribute application signatures, and how they are different to normal signatures.

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  • SQL SERVER – How to Roll Back SQL Server Database Changes

    - by Pinal Dave
    In a perfect scenario, no unexpected and unplanned changes occur. There are no unpleasant surprises, no inadvertent changes. However, even with all precautions and testing, there is sometimes a need to revert a structure or data change. One of the methods that can be used in this situation is to use an older database backup that has the records or database object structure you want to revert to. For this method, you have to have the adequate full database backup and a tool that will help you with comparison and synchronization is preferred. In this article, we will focus on another method: rolling back the changes. This can be done by using: An option in SQL Server Management Studio T-SQL, or ApexSQL Log The first two solutions have been described in this article The disadvantages of these methods are that you have to know when exactly the change you want to revert happened and that all transactions on the database executed in a specific time range are rolled back – the ones you want to undo and the ones you don’t. How to easily roll back SQL Server database changes using ApexSQL Log? The biggest challenge is to roll back just specific changes, not all changes that happened in a specific time range. While SQL Server Management Studio option and T-SQL read and roll forward all transactions in the transaction log files, I will show you a solution that finds and scripts only the specific changes that match your criteria. Therefore, you don’t need to worry about all other database changes that you don’t want to roll back. ApexSQL Log is a SQL Server disaster recovery tool that reads transaction logs and provides a wide range of filters that enable you to easily rollback only specific data changes. First, connect to the online database where you want to roll back the changes. Once you select the database, ApexSQL Log will show its recovery model. Note that changes can be rolled back even for a database in the Simple recovery model, when no database and transaction log backups are available. However, ApexSQL Log achieves best results when the database is in the Full recovery model and you have a chain of subsequent transaction log backups, back to the moment when the change occurred. In this example, we will use only the online transaction log. In the next step, use filters to read only the transactions that happened in a specific time range. To remove noise, it’s recommended to use as many filters as possible. Besides filtering by the time of the transaction, ApexSQL Log can filter by the operation type: Table name: As well as transaction state (committed, aborted, running, and unknown), name of the user who committed the change, specific field values, server process IDs, and transaction description. You can select only the tables affected by the changes you want to roll back. However, if you’re not certain which tables were affected, you can leave them all selected and once the results are shown in the main grid, analyze them to find the ones you to roll back. When you set the filters, you can select how to present the results. ApexSQL Log can automatically create undo or redo scripts, export the transactions into an XML, HTML, CSV, SQL, or SQL Bulk file, and create a batch file that you can use for unattended transaction log reading. In this example, I will open the results in the grid, as I want to analyze them before rolling back the transactions. The results contain information about the transaction, as well as who and when made it. For UPDATEs, ApexSQL Log shows both old and new values, so you can easily see what has happened. To create an UNDO script that rolls back the changes, select the transactions you want to roll back and click Create undo script in the menu. For the DELETE statement selected in the screenshot above, the undo script is: INSERT INTO [Sales].[PersonCreditCard] ([BusinessEntityID], [CreditCardID], [ModifiedDate]) VALUES (297, 8010, '20050901 00:00:00.000') When it comes to rolling back database changes, ApexSQL Log has a big advantage, as it rolls back only specific transactions, while leaving all other transactions that occurred at the same time range intact. That makes ApexSQL Log a good solution for rolling back inadvertent data and schema changes on your SQL Server databases. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: ApexSQL

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  • T-SQL Tuesday #025 &ndash; CHECK Constraint Tricks

    - by Most Valuable Yak (Rob Volk)
    Allen White (blog | twitter), marathoner, SQL Server MVP and presenter, and all-around awesome author is hosting this month's T-SQL Tuesday on sharing SQL Server Tips and Tricks.  And for those of you who have attended my Revenge: The SQL presentation, you know that I have 1 or 2 of them.  You'll also know that I don't recommend using anything I talk about in a production system, and will continue that advice here…although you might be sorely tempted.  Suffice it to say I'm not using these examples myself, but I think they're worth sharing anyway. Some of you have seen or read about SQL Server constraints and have applied them to your table designs…unless you're a vendor ;)…and may even use CHECK constraints to limit numeric values, or length of strings, allowable characters and such.  CHECK constraints can, however, do more than that, and can even provide enhanced security and other restrictions. One tip or trick that I didn't cover very well in the presentation is using constraints to do unusual things; specifically, limiting or preventing inserts into tables.  The idea was to use a CHECK constraint in a way that didn't depend on the actual data: -- create a table that cannot accept data CREATE TABLE dbo.JustTryIt(a BIT NOT NULL PRIMARY KEY, CONSTRAINT chk_no_insert CHECK (GETDATE()=GETDATE()+1)) INSERT dbo.JustTryIt VALUES(1)   I'll let you run that yourself, but I'm sure you'll see that this is a pretty stupid table to have, since the CHECK condition will always be false, and therefore will prevent any data from ever being inserted.  I can't remember why I used this example but it was for some vague and esoteric purpose that applies to about, maybe, zero people.  I come up with a lot of examples like that. However, if you realize that these CHECKs are not limited to column references, and if you explore the SQL Server function list, you could come up with a few that might be useful.  I'll let the names describe what they do instead of explaining them all: CREATE TABLE NoSA(a int not null, CONSTRAINT CHK_No_sa CHECK (SUSER_SNAME()<>'sa')) CREATE TABLE NoSysAdmin(a int not null, CONSTRAINT CHK_No_sysadmin CHECK (IS_SRVROLEMEMBER('sysadmin')=0)) CREATE TABLE NoAdHoc(a int not null, CONSTRAINT CHK_No_AdHoc CHECK (OBJECT_NAME(@@PROCID) IS NOT NULL)) CREATE TABLE NoAdHoc2(a int not null, CONSTRAINT CHK_No_AdHoc2 CHECK (@@NESTLEVEL>0)) CREATE TABLE NoCursors(a int not null, CONSTRAINT CHK_No_Cursors CHECK (@@CURSOR_ROWS=0)) CREATE TABLE ANSI_PADDING_ON(a int not null, CONSTRAINT CHK_ANSI_PADDING_ON CHECK (@@OPTIONS & 16=16)) CREATE TABLE TimeOfDay(a int not null, CONSTRAINT CHK_TimeOfDay CHECK (DATEPART(hour,GETDATE()) BETWEEN 0 AND 1)) GO -- log in as sa or a sysadmin server role member, and try this: INSERT NoSA VALUES(1) INSERT NoSysAdmin VALUES(1) -- note the difference when using sa vs. non-sa -- then try it again with a non-sysadmin login -- see if this works: INSERT NoAdHoc VALUES(1) INSERT NoAdHoc2 VALUES(1) GO -- then try this: CREATE PROCEDURE NotAdHoc @val1 int, @val2 int AS SET NOCOUNT ON; INSERT NoAdHoc VALUES(@val1) INSERT NoAdHoc2 VALUES(@val2) GO EXEC NotAdHoc 2,2 -- which values got inserted? SELECT * FROM NoAdHoc SELECT * FROM NoAdHoc2   -- and this one just makes me happy :) INSERT NoCursors VALUES(1) DECLARE curs CURSOR FOR SELECT 1 OPEN curs INSERT NoCursors VALUES(2) CLOSE curs DEALLOCATE curs INSERT NoCursors VALUES(3) SELECT * FROM NoCursors   I'll leave the ANSI_PADDING_ON and TimeOfDay tables for you to test on your own, I think you get the idea.  (Also take a look at the NoCursors example, notice anything interesting?)  The real eye-opener, for me anyway, is the ability to limit bad coding practices like cursors, ad-hoc SQL, and sa use/abuse by using declarative SQL objects.  I'm sure you can see how and why this would come up when discussing Revenge: The SQL.;) And the best part IMHO is that these work on pretty much any version of SQL Server, without needing Policy Based Management, DDL/login triggers, or similar tools to enforce best practices. All seriousness aside, I highly recommend that you spend some time letting your mind go wild with the possibilities and see how far you can take things.  There are no rules! (Hmmmm, what can I do with rules?) #TSQL2sDay

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  • Some OBI EE Tricks and Tips in the Admin Tool By Gerry Langton

    - by hamsun
    How to set the log level from a Session variable Initialization block As we know it is normal to set the log level non-zero for a particular user when we wish to debug problems. However sometimes it is inconvenient to go into each user’s properties in the Admin tool and update the log level. So I am showing a method which allows the log level to be set for all users via a session initialization block. This is particularly useful for anyone wanting an alternative way to set the log level. The screen shots shown are using the OBIEE 11g SampleApp demo but are applicable to any environment. Open the appropriate rpd in on-line mode and navigate to Manage Variables. Select Session Initialization Blocks, right click in the white space and create a New Initialization Block. I called the Initialization block Set_Loglevel . Now click on ‘Edit Data Source’ to enter the SQL. Chose the ‘Use OBI EE Server’ option for the SQL. This means that the SQL provided must use tables which have been defined in the Physical layer of the RPD, and whilst there is no need to provide a connection pool you must work in On-Line mode. The SQL can access any of the RPD tables and is purely used to return a value of 2. The ‘Test’ button confirms that the SQL is valid. Next, click on the ‘Edit Data Target’ button to add the LOGLEVEL variable to the initialization block. Check the ‘Enable any user to set the value’ option so that this will work for any user. Click OK and the following message will display as LOGLEVEL is a system session variable: Click ‘Yes’. Click ‘OK’ to save the Initialization block. Then check in the On-LIne changes. To test that LOGLEVEL has been set, log in to OBIEE using an administrative login (e.g. weblogic) and reload server metadata, either from the Analysis editor or from Administration > Reload Files and Metadata link. Run a query then navigate to Administration > Manage Sessions and click ‘View Log’ for the query just issued (which should be approximately the last in the list). A log file should exist and with LOGLEVEL set to 2 should include both logical and physical sql. If more diagnostic information is required then set LOGLEVEL to a higher value. If logging is required only for a particular analysis then an alternative method can be used directly from the Analysis editor. Edit the analysis for which debugging is required and click on the Advanced tab. Scroll down to the Advanced SQL clauses section and enter the following in the Prefix box: SET VARIABLE LOGLEVEL = 2; Click the ‘Apply SQL’ button. The SET VARIABLE statement will now prefix the Analysis’s logical SQL. So that any time this analysis is run it will produce a log. You can find information about training for Oracle BI EE products here or in the OU Learning Paths. Please send me an email at [email protected] if you have any further questions. About the Author: Gerry Langton started at Siebel Systems in 1999 working as a technical instructor teaching both Siebel application development and also Siebel Analytics (which subsequently became Oracle BI EE). From 2006 Gerry has worked as Senior Principal Instructor within Oracle University specialising in Oracle BI EE, Oracle BI Publisher and Oracle Data Warehouse development for BI.

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  • Windows Azure Recipe: Social Web / Big Media

    - by Clint Edmonson
    With the rise of social media there’s been an explosion of special interest media web sites on the web. From athletics to board games to funny animal behaviors, you can bet there’s a group of people somewhere on the web talking about it. Social media sites allow us to interact, share experiences, and bond with like minded enthusiasts around the globe. And through the power of software, we can follow trends in these unique domains in real time. Drivers Reach Scalability Media hosting Global distribution Solution Here’s a sketch of how a social media application might be built out on Windows Azure: Ingredients Traffic Manager (optional) – can be used to provide hosting and load balancing across different instances and/or data centers. Perfect if the solution needs to be delivered to different cultures or regions around the world. Access Control – this service is essential to managing user identity. It’s backed by a full blown implementation of Active Directory and allows the definition and management of users, groups, and roles. A pre-built ASP.NET membership provider is included in the training kit to leverage this capability but it’s also flexible enough to be combined with external Identity providers including Windows LiveID, Google, Yahoo!, and Facebook. The provider model has extensibility points to hook into other identity providers as well. Web Role – hosts the core of the web application and presents a central social hub users. Database – used to store core operational, functional, and workflow data for the solution’s web services. Caching (optional) – as a web site traffic grows caching can be leveraged to keep frequently used read-only, user specific, and application resource data in a high-speed distributed in-memory for faster response times and ultimately higher scalability without spinning up more web and worker roles. It includes a token based security model that works alongside the Access Control service. Tables (optional) – for semi-structured data streams that don’t need relational integrity such as conversations, comments, or activity streams, tables provide a faster and more flexible way to store this kind of historical data. Blobs (optional) – users may be creating or uploading large volumes of heterogeneous data such as documents or rich media. Blob storage provides a scalable, resilient way to store terabytes of user data. The storage facilities can also integrate with the Access Control service to ensure users’ data is delivered securely. Content Delivery Network (CDN) (optional) – for sites that service users around the globe, the CDN is an extension to blob storage that, when enabled, will automatically cache frequently accessed blobs and static site content at edge data centers around the world. The data can be delivered statically or streamed in the case of rich media content. Training These links point to online Windows Azure training labs and resources where you can learn more about the individual ingredients described above. (Note: The entire Windows Azure Training Kit can also be downloaded for offline use.) Windows Azure (16 labs) Windows Azure is an internet-scale cloud computing and services platform hosted in Microsoft data centers, which provides an operating system and a set of developer services which can be used individually or together. It gives developers the choice to build web applications; applications running on connected devices, PCs, or servers; or hybrid solutions offering the best of both worlds. New or enhanced applications can be built using existing skills with the Visual Studio development environment and the .NET Framework. With its standards-based and interoperable approach, the services platform supports multiple internet protocols, including HTTP, REST, SOAP, and plain XML SQL Azure (7 labs) Microsoft SQL Azure delivers on the Microsoft Data Platform vision of extending the SQL Server capabilities to the cloud as web-based services, enabling you to store structured, semi-structured, and unstructured data. Windows Azure Services (9 labs) As applications collaborate across organizational boundaries, ensuring secure transactions across disparate security domains is crucial but difficult to implement. Windows Azure Services provides hosted authentication and access control using powerful, secure, standards-based infrastructure. See my Windows Azure Resource Guide for more guidance on how to get started, including links web portals, training kits, samples, and blogs related to Windows Azure.

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