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  • Crystal Report displaying Group Header multiple times

    - by Ravi Gupta
    Hi I am using Crystal Reports 10 to generate my reports. In one of the reports I see that a group header is getting repeated 2 times in the output document while in the design tab I can that it is present only one time. I am having my query as a "Union All" of 2 data sets. Please advise what could be the cause. Thanks.

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  • ORACLE:- 'SELECT ORDER BY ASC' but 'USA' always first.

    - by Robert
    I have to write a drop down query for countries. But USA should always be first. The rest of the countries are in alphabetical order I tried the following query SELECT countries_id ,countries_name FROM get_countries WHERE countries_id = 138 UNION SELECT countries_id ,countries_name FROM get_countries WHERE countries_id != 138 ORDER BY 2 ASC

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  • In a C# app, what is the most optimal way to insert many records into sql server?

    - by Otter
    I need to perform a very large sql server insert from a c# application. Somewhere in the range of 20,000 through 50,000 records. What is the fastest way through SQL server to perform the insert? There are several options I know of, but I don't know which is the fastest. insert into MyTable(column1, column2, ..., column*) select 'value','value',...,'value' union select 'value','value',...,'value' VS insert into MyTable(column1, column2, ..., column*) exec('select ''value'',''value'',...,''value''' 'select ''value'',''value'',...,''value''') VS bulk insert from a data file VS Any better way that you know of :)

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  • ORACLE:- 'SELECT ODER BY ASC' but 'USA' always first.

    - by Robert
    I have to write a drop down query for countries. But USA hould always be first. The rest of the countries are in alphabetical order I tried the following query SELECT countries_id ,countries_name FROM get_countries WHERE countries_id = 138 UNION SELECT countries_id ,countries_name FROM get_countries WHERE countries_id != 138 ORDER BY 2 ASC

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  • Difference between INSERT INTO and INSERT ALL INTO

    - by emily soto
    While I was inserting some records in table i found that.. INSERT INTO T_CANDYBAR_DATA SELECT CONSUMER_ID,CANDYBAR_NAME,SURVEY_YEAR,GENDER,1 AS STAT_TYPE,OVERALL_RATING FROM CANDYBAR_CONSUMPTION_DATA UNION SELECT CONSUMER_ID,CANDYBAR_NAME,SURVEY_YEAR,GENDER,2 AS STAT_TYPE,NUMBER_BARS_CONSUMED FROM CANDYBAR_CONSUMPTION_DATA; 79 rows inserted. INSERT ALL INTO t_candybar_data VALUES (consumer_id,candybar_name,survey_year,gender,1,overall_rating) INTO t_candybar_data VALUES (consumer_id,candybar_name,survey_year,gender,2,number_bars_consumed) SELECT * FROM candybar_consumption_data 86 rows inserted. I have read somewhere that INSERT ALL INTO automatically unions then why those difference is showing.

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  • Mysql Count

    - by Buda
    I have the following query: select MIN(q.a), * FROM ( sub-query1 ) as q UNION sub-query2 How can I return the number of elements in query1 as a row of master-query? If i use count (*) i´ve only the count CountElementSub-Query1 i need some like that rowA, rowB, rowC, CountElementSub-Query1 rowA, rowB, rowC, CountElementSub-Query1 rowA, rowB, rowC, CountElementSub-Query1 rowA, rowB, rowC, CountElementSub-Query1

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  • Convert from apache rewrite to nginx

    - by Linux Intel
    I want to convert from apache rewrite modules to nginx RewriteCond %{QUERY_STRING} mosConfig_[a-zA-Z_]{1,21}(=|\%3D) [OR] RewriteCond %{QUERY_STRING} base64_encode.*\(.*\) [OR] RewriteCond %{QUERY_STRING} (\<|%3C).*script.*(\>|%3E) [NC,OR] RewriteCond %{QUERY_STRING} GLOBALS(=|\[|\%[0-9A-Z]{0,2}) [OR] RewriteCond %{QUERY_STRING} _REQUEST(=|\[|\%[0-9A-Z]{0,2}) RewriteCond %{QUERY_STRING} SELECT(=|\[|\%[0-9A-Z]{0,2}) [OR] RewriteCond %{QUERY_STRING} UNION(=|\[|\%[0-9A-Z]{0,2}) [OR] RewriteCond %{QUERY_STRING} UPDATE(=|\[|\%[0-9A-Z]{0,2}) [OR] RewriteRule ^([^.]*)/?$ index.php [L] RewriteRule ^domain/trial/cms$ index/index.php?%{QUERY_STRING} [L] RewriteCond %{HTTP:Range} ([a-z]+) [NC] RewriteRule ([0-9_\-]+)flv$ http://www.domain.com [R,L] RewriteCond %{ENV:byte-ranges-specifier} !^$ RewriteRule ([0-9_\-]+)flv$ http://www.domain.com [R,L] RewriteCond %{HTTP_USER_AGENT} !^Mozilla/5 [NC] RewriteCond %{HTTP_USER_AGENT} !^Mozilla/4 [NC] RewriteCond %{HTTP_USER_AGENT} !^Opera [NC] RewriteRule ([0-9_\-]+)flv$ http://www.domain.com [R,L] RewriteRule ^$ index/index.php?%{QUERY_STRING} [L] RewriteCond %{SCRIPT_FILENAME} !sss.php [NC] RewriteCond %{SCRIPT_FILENAME} !m-administrator [NC] RewriteRule ^([^/^.]*)$ sss.php?encrypted=$1&%{QUERY_STRING} [L] RewriteCond %{SCRIPT_FILENAME} !sss.php [NC] RewriteCond %{SCRIPT_FILENAME} !m-administrator [NC] RewriteRule ^([^/^.]*)/([^/^.]*)$ sss.php?tab=$1&page=$2&%{QUERY_STRING} [L] RewriteCond %{SCRIPT_FILENAME} !sss.php [NC] RewriteCond %{SCRIPT_FILENAME} !m-administrator [NC] RewriteRule ^([^/^.]*)/([^/^.]*)/([^.]*)$ sss.php?tab=$1&page=$2&queryString=$3&%{QUERY_STRING} [L] RewriteCond %{SCRIPT_FILENAME} !sss.php [NC] RewriteCond %{SCRIPT_FILENAME} !security.php [NC] RewriteRule ^([^/]*)$ index/$1?%{QUERY_STRING} [L] I tried to convert it by online tools such as : http://www.anilcetin.com/convert-apache-htaccess-to-nginx/ but it didn't convert it correctly. The conversion output is : if ($args ~ "mosConfig_[a-zA-Z_]{1,21}(=|%3D)"){ set $rule_0 1; } if ($args ~ "base64_encode.*(.*)"){ set $rule_0 1; } if ($args ~* "(<|%3C).*script.*(>|%3E)"){ set $rule_0 1; } if ($args ~ "GLOBALS(=|[|%[0-9A-Z]{0,2})"){ set $rule_0 1; } if ($args ~ "_REQUEST(=|[|%[0-9A-Z]{0,2})"){ set $rule_0 1; } if ($args ~ "SELECT(=|[|%[0-9A-Z]{0,2})"){ set $rule_0 1; } if ($args ~ "UNION(=|[|%[0-9A-Z]{0,2})"){ set $rule_0 1; } if ($args ~ "UPDATE(=|[|%[0-9A-Z]{0,2})"){ set $rule_0 1; } if ($rule_0 = "1"){ rewrite ^/([^.]*)/?$ /index.php last; } if ($rule_1 = ""){ rewrite ^/domain/trial/cms$ /index/index.php?$args last; } if ($http_range ~* "([a-z]+)"){ set $rule_2 1$rule_2; } if ($rule_2 = "1"){ rewrite /([0-9_-]+)flv$ http://www.domain.com redirect; } #ignored: condition 0 if ($rule_3 = "1"){ rewrite /([0-9_-]+)flv$ http://www.domain.com redirect; } if ($http_user_agent !~* "^Mozilla/5"){ set $rule_4 1$rule_4; } if ($http_user_agent !~* "^Mozilla/4"){ set $rule_4 2$rule_4; } if ($http_user_agent !~* "^Opera"){ set $rule_4 3$rule_4; } if ($rule_4 = "321"){ rewrite /([0-9_-]+)flv$ http://www.domain.com redirect; } if ($rule_5 = ""){ rewrite ^/$ /index/index.php?$args last; } if ($uri !~* "sss.php"){ set $rule_6 1$rule_6; } if ($uri !~* "m-administrator"){ set $rule_6 2$rule_6; } if ($rule_6 = "21"){ rewrite ^/([^/^.]*)$ /sss.php?encrypted=$1&$args last; } if ($uri !~* "sss.php"){ set $rule_7 1$rule_7; } if ($uri !~* "m-administrator"){ set $rule_7 2$rule_7; } if ($rule_7 = "21"){ rewrite ^/([^/^.]*)/([^/^.]*)$ /sss.php?tab=$1&page=$2&$args last; } if ($uri !~* "sss.php"){ set $rule_8 1$rule_8; } if ($uri !~* "m-administrator"){ set $rule_8 2$rule_8; } if ($rule_8 = "21"){ rewrite ^/([^/^.]*)/([^/^.]*)/([^.]*)$ /sss.php?tab=$1&page=$2&queryString=$3&$args last; } if ($uri !~* "sss.php"){ set $rule_9 1$rule_9; } if ($uri !~* "security.php"){ set $rule_9 2$rule_9; } if ($rule_9 = "21"){ rewrite ^/([^/]*)$ /index/$1?$args last; } Please help me with the proper conversion result for nginx in order to work perfectly.

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  • Help A Hacker: Give ‘Em The Windows Source Code

    - by Ken Cox [MVP]
    The announcement of another Windows megapatch reminded me of a WikiLeaks story about Microsoft Windows that hasn’t attracted much attention. Alarmingly, we learn that the hackers have the Windows source code to study and test for vulnerabilities. Chinese hackers used the knowledge to breach Google’s accounts and servers: “In 2003, the CNITSEC signed a Government Security Program (GSP) international agreement with Microsoft that allowed select companies such as TOPSEC access to Microsoft source code in order to secure the Windows platform” “CNITSEC enterprises has recruited Chinese hackers in support of nationally-funded "network attack scientific research projects." From June 2002 to March 2003, TOPSEC employed a known Chinese hacker, Lin Yong (a.k.a. Lion and owner of the Honker Union of China), as senior security service engineer…” Windows is widely seen as unsecurable. It doesn’t help that Chinese government-funded hackers are probing the source code for vulnerabilities. It seems odd that people who didn’t write the code can find vulnerabilities faster than the owners of the code. Perhaps the U.S. government should hire its own hackers to go over the same Windows source code and then tell Microsoft how to secure its product?

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  • REST: How to store and reuse REST call queries

    - by Jason Holland
    I'm learning C# by programming a real monstrosity of an application for personal use. Part of my application uses several SPARQL queries like so: const string ArtistByRdfsLabel = @" PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> SELECT DISTINCT ?artist WHERE {{ {{ ?artist rdf:type <http://dbpedia.org/ontology/MusicalArtist> . ?artist rdfs:label ?rdfsLabel . }} UNION {{ ?artist rdf:type <http://dbpedia.org/ontology/Band> . ?artist rdfs:label ?rdfsLabel . }} FILTER ( str(?rdfsLabel) = '{0}' ) }}"; string Query = String.Format(ArtistByRdfsLabel, Artist); I don't like the idea of keeping all these queries in the same class that I'm using them in so I thought I would just move them into their own dedicated class to remove clutter in my RestClient class. I'm used to working with SQL Server and just wrapping every query in a stored procedure but since this is not SQL Server I'm scratching my head on what would be the best for these SPARQL queries. Are there any better approaches to storing these queries using any special C# language features (or general, non C# specific, approaches) that I may not already know about? EDIT: Really, these SPARQL queries aren't anything special. Just blobs of text that I later want to grab, insert some parameters into via String.Format and send in a REST call. I suppose you could think of them the same as any SQL query that is kept in the application layer, I just never practiced keeping SQL queries in the application layer so I'm wondering if there are any "standard" practices with this type of thing.

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  • Connecting to MSP430 via /dev/ttyACM0

    - by speciousfool
    I'd like some suggestions about how to fix garbled serial output from a device connected on /dev/ttyACM0. Lately I've been working on a development project making use of TI's MSP430 microcontroller (specifically the eZ430-RF2560). Over on this thread you can see we've been testing some code and have found that the output of the microcontroller over serial is garbled. The btstack provides simple counter test program. When we run the program and look at the serial port output using PuTTY on Windows 7 we see: rfcomm_send_internal cid 117 doesn't exist! BTstack counter 26230 rfcomm_send_internal cid 117 doesn't exist! BTstack counter 26231 However if we connect from various Ubuntu clients we get something like: Stt.R. BTacn 0 BTacn 002BTacn 0 BTcct 04BTtacoe 5BTacun My current belief is that this is because the device is being detected by cdc_acm as a generic USB ACM device. Another thread about a similar microcontroller suggests that the device should use a specific usb serial driver. We've verified that the module is compiled on our system and did a "modprobe ti_usb_3410_5052" but this had no effect on cdc_acm. Here is the relevant section of the kernel's debug log: [ 2735.092987] usb 2-1.2: new full speed USB device number 5 using ehci_hcd [ 2735.213655] cdc_acm 2-1.2:1.0: This device cannot do calls on its own. It is not a modem. [ 2735.213669] cdc_acm 2-1.2:1.0: No union descriptor, testing for castrated device [ 2735.213720] cdc_acm 2-1.2:1.0: ttyACM0: USB ACM device [ 2745.241996] generic-usb 0003:0451:F432.0003: usb_submit_urb(ctrl) failed [ 2745.242023] generic-usb 0003:0451:F432.0003: timeout initializing reports [ 2745.242401] generic-usb 0003:0451:F432.0003: hiddev0,hidraw0: USB HID v1.01 Device [Texas Instruments Texas Instruments MSP-FET430UIF] on usb-0000:00:1d.0-1.2/input1 So, in summary, we'd like to figure out how to properly connect to this device. Also of use may be the appropriate place to file a bug report.

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  • SQL SERVER – Plan Cache and Data Cache in Memory

    - by pinaldave
    I get following question almost all the time when I go for consultations or training. I often end up providing the scripts to my clients and attendees. Instead of writing new blog post, today in this single blog post, I am going to cover both the script and going to link to original blog posts where I have mentioned about this blog post. Plan Cache in Memory USE AdventureWorks GO SELECT [text], cp.size_in_bytes, plan_handle FROM sys.dm_exec_cached_plans AS cp CROSS APPLY sys.dm_exec_sql_text(plan_handle) WHERE cp.cacheobjtype = N'Compiled Plan' ORDER BY cp.size_in_bytes DESC GO Further explanation of this script is over here: SQL SERVER – Plan Cache – Retrieve and Remove – A Simple Script Data Cache in Memory USE AdventureWorks GO SELECT COUNT(*) AS cached_pages_count, name AS BaseTableName, IndexName, IndexTypeDesc FROM sys.dm_os_buffer_descriptors AS bd INNER JOIN ( SELECT s_obj.name, s_obj.index_id, s_obj.allocation_unit_id, s_obj.OBJECT_ID, i.name IndexName, i.type_desc IndexTypeDesc FROM ( SELECT OBJECT_NAME(OBJECT_ID) AS name, index_id ,allocation_unit_id, OBJECT_ID FROM sys.allocation_units AS au INNER JOIN sys.partitions AS p ON au.container_id = p.hobt_id AND (au.TYPE = 1 OR au.TYPE = 3) UNION ALL SELECT OBJECT_NAME(OBJECT_ID) AS name, index_id, allocation_unit_id, OBJECT_ID FROM sys.allocation_units AS au INNER JOIN sys.partitions AS p ON au.container_id = p.partition_id AND au.TYPE = 2 ) AS s_obj LEFT JOIN sys.indexes i ON i.index_id = s_obj.index_id AND i.OBJECT_ID = s_obj.OBJECT_ID ) AS obj ON bd.allocation_unit_id = obj.allocation_unit_id WHERE database_id = DB_ID() GROUP BY name, index_id, IndexName, IndexTypeDesc ORDER BY cached_pages_count DESC; GO Further explanation of this script is over here: SQL SERVER – Get Query Plan Along with Query Text and Execution Count Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Optimization, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL Tagged: SQL Memory

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  • Java Deployment Team at JavaOne 2012

    - by _chrisb
    This year the Java Deployment team has some pretty exciting sessions at JavaOne. We will be talking about a lot of new features including Java on the Mac, Java FX deployment, and bundled applications. All presentations and the booth are located at the Hilton San Francisco Union Square, 333 O'Farrell Street. Booth The Java Deployment booth is located in the Hilton San Francisco Grand Ballroom. We will available to discuss Java Deployment and answer your questions at the following days and times: Monday, October 1st 10:30 AM - 5:00 PM Tuesday, October 2nd 10:00 AM - 5:00 PM Wednesday, October 3rd 9:30 AM - 5:00 PM Sessions Java Deployment on Mac OS X - CON7488 This is a great opportunity to learn about what's new in Java for Mac. Oracle now distributes Java for Mac so there are some exciting new changes. Scott Kovatch and Chris Bensen Located in the Hilton San Francisco Imperial Ballroom B Monday, October 1, 1:00 PM - 2:00 PM Deploy Your Application with OpenJDK 7 on Mac OS X - CON8224 Learn about packaging and distributing Java applications to the Mac AppStore with step by step examples and tips. Scott Kovatch Located in the Hilton San Francisco Imperial Ballroom B Monday, October 1, 3:00 PM - 4:00 PM The Java User Experience Team Presents the Latest UI Updates - BOF3615 Discover the eye candy that the user interface experts have been working on. Jeff Hoffman and Terri Yamamoto Located in the Hilton San Francisco Imperial Ballroom B Monday, October 1, 5:30 PM - 6:15 PM Mastering Java Deployment Skills - CON7797 Find out what Java Deployment has been cooking. This is the best place to learn about self-contained application packaging. Igor Nekrestyanov and Mark Howe Located in the Hilton San Francisco Imperial Ballroom B Thursday, October 4th, 12:30 PM to 1:30 PM For those who will not be able to aqttend we will share all slides after the JavaOne. And just to make it easy to find us, here is a map: View Larger Map

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  • How do I tell sudo to write files with a umask of 0022?

    - by mipadi
    I recently upgrading to Snow Leopard. I have noticed that some files written by MacPorts are installed with the wrong permission -- they are written with a umask of 0077. I think I have narrowed down the problem: The port command is invoked via sudo. My .bashrc file specifies a umask of 0077. On older versions of OS X (10.5 and below), sudo used the umask of the root user (which was 0022); however, now it uses my umask of 0077. Is there anyway to have sudo use the old behavior? Right now, it's kind of annoying because I have to use sudo to run simple commands like port installed, port outdated, etc. (The problem is described in more detail in this MacPorts ticket.) Edit I discovered the umask option for sudo, and in /etc/sudoers I added the following line: Defaults umask=0022 However, this did not function as desired, because the real umask used by sudo is the union of the user mask with this default mask.

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  • SQL SERVER – Select Columns from Stored Procedure Resultset

    - by Pinal Dave
    It is fun to go back to basics often. Here is the one classic question: “How to select columns from Stored Procedure Resultset?” Though Stored Procedure has been introduced many years ago, the question about retrieving columns from Stored Procedure is still very popular with beginners. Let us see the solution in quick steps. First we will create a sample stored procedure. CREATE PROCEDURE SampleSP AS SELECT 1 AS Col1, 2 AS Col2 UNION SELECT 11, 22 GO Now we will create a table where we will temporarily store the result set of stored procedures. We will be using INSERT INTO and EXEC command to retrieve the values and insert into temporary table. CREATE TABLE #TempTable (Col1 INT, Col2 INT) GO INSERT INTO #TempTable EXEC SampleSP GO Next we will retrieve our data from stored procedure. SELECT * FROM #TempTable GO Finally we will clean up all the objects which we have created. DROP TABLE #TempTable DROP PROCEDURE SampleSP GO Let me know if you want me to share such back to basic tips. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Stored Procedure, SQL Tips and Tricks, T SQL

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  • Excel scatter chart with multiple date ranges

    - by Abiel
    I have multiple blocks of time series data on an Excel sheet, with each block having its own set of dates. For example, I might have dates in column A, values in column B, and then dates in column D and values in column E. The values in B go with the dates in A, and the values in E go with the dates in D. The dates in A and D may not be the same. I would like to create a scatter chart with a time category axis that is the union of my two input date ranges in columns A and D. If I select all the data and then go insert chart (in Excel 2010), Excel treats only column A as the X axis, and looks at D as just another set of values. I can get Excel to do what I want by first just charting columns A and B, then selecting D and E and copy-pasting onto the chart. However, I would like to avoid this two-step procedure if possible.

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  • Why is there never any controversy regarding the switch statement? [closed]

    - by Nick Rosencrantz
    We all know that the gotostatement should only be used on very rare occasions if at all. It has been discouraged to use the goto statement countless places countless times. But why it there never anything like that about the switch statement? I can understand the position that the switch statement should always be avoided since anything with switch can always be expressed by if...else... which is also more readable and the syntax of the switch statement if difficult to remember. Do you agree? What are the arguments in favor of keeping the 'switch` statement? It can also be difficult to use if what you're testing changes from say an integer to an object, then C++ or Java won't be able to perform the switch and neither C can perform switch on something like a struct or a union. And the technique of fall-through is so very rarely used that I wonder why it was never presented any regret of having switch at all? The only place I know where it is best practice is GUI code and even that switch is probably better coded in a more object-oriented way.

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  • CSO Summit @ Executive Edge

    - by Naresh Persaud
    If you are attending the Executive Edge at Open World be sure to check out the sessions at the Chief Security Officer Summit. Former Sr. Counsel for the National Security Agency, Joel Brenner ,  will be speaking about his new book "America the Vulnerable". In addition, PWC will present a panel discussion on "Crisis Management to Business Advantage: Security Leadership". See below for the complete agenda. TUESDAY, October 2, 2012 Chief Security Officer Summit Welcome Dave Profozich, Group Vice President, Oracle 10:00 a.m.–10:15 a.m. America the Vulnerable Joel Brenner, former Senior Counsel, National Security Agency 10:15 a.m.–11:00 a.m. The Threats are Outside, the Risks are Inside Sonny Singh, Senior Vice President, Oracle 11:00 a.m.–11:20 a.m. From Crisis Management to Business Advantage: Security Leadership Moderator: David Burg, Partner, Forensic Technology Solutions, PwC Panelists: Charles Beard, CIO and GM of Cyber Security, SAIC Jim Doggett, Chief Information Technology Risk Officer, Kaiser Permanente Chris Gavin, Vice President, Information Security, Oracle John Woods, Partner, Hunton & Williams 11:20 a.m.–12:20 p.m. Lunch Union Square Tent 12:20 p.m.–1:30 p.m. Securing the New Digital Experience Amit Jasuja, Senior Vice President, Identity Management and Security, Oracle 1:30 p.m.–2:00 p.m. Securing Data at the Source Vipin Samar, Vice President, Database Security, Oracle 2:00 p.m.–2:30 p.m. Security from the Chairman’s Perspective Jeff Henley, Chairman of the Board, Oracle Dave Profozich, Group Vice President, Oracle 2:30 p.m.–3:00 p.m.

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  • Performance Enhancement in Full-Text Search Query

    - by Calvin Sun
    Ever since its first release, we are continuing consolidating and developing InnoDB Full-Text Search feature. There is one recent improvement that worth blogging about. It is an effort with MySQL Optimizer team that simplifies some common queries’ Query Plans and dramatically shorted the query time. I will describe the issue, our solution and the end result by some performance numbers to demonstrate our efforts in continuing enhancement the Full-Text Search capability. The Issue: As we had discussed in previous Blogs, InnoDB implements Full-Text index as reversed auxiliary tables. The query once parsed will be reinterpreted into several queries into related auxiliary tables and then results are merged and consolidated to come up with the final result. So at the end of the query, we’ll have all matching records on hand, sorted by their ranking or by their Doc IDs. Unfortunately, MySQL’s optimizer and query processing had been initially designed for MyISAM Full-Text index, and sometimes did not fully utilize the complete result package from InnoDB. Here are a couple examples: Case 1: Query result ordered by Rank with only top N results: mysql> SELECT FTS_DOC_ID, MATCH (title, body) AGAINST ('database') AS SCORE FROM articles ORDER BY score DESC LIMIT 1; In this query, user tries to retrieve a single record with highest ranking. It should have a quick answer once we have all the matching documents on hand, especially if there are ranked. However, before this change, MySQL would almost retrieve rankings for almost every row in the table, sort them and them come with the top rank result. This whole retrieve and sort is quite unnecessary given the InnoDB already have the answer. In a real life case, user could have millions of rows, so in the old scheme, it would retrieve millions of rows' ranking and sort them, even if our FTS already found there are two 3 matched rows. Apparently, the million ranking retrieve is done in vain. In above case, it should just ask for 3 matched rows' ranking, all other rows' ranking are 0. If it want the top ranking, then it can just get the first record from our already sorted result. Case 2: Select Count(*) on matching records: mysql> SELECT COUNT(*) FROM articles WHERE MATCH (title,body) AGAINST ('database' IN NATURAL LANGUAGE MODE); In this case, InnoDB search can find matching rows quickly and will have all matching rows. However, before our change, in the old scheme, every row in the table was requested by MySQL one by one, just to check whether its ranking is larger than 0, and later comes up a count. In fact, there is no need for MySQL to fetch all rows, instead InnoDB already had all the matching records. The only thing need is to call an InnoDB API to retrieve the count The difference can be huge. Following query output shows how big the difference can be: mysql> select count(*) from searchindex_inno where match(si_title, si_text) against ('people')  +----------+ | count(*) | +----------+ | 666877 | +----------+ 1 row in set (16 min 17.37 sec) So the query took almost 16 minutes. Let’s see how long the InnoDB can come up the result. In InnoDB, you can obtain extra diagnostic printout by turning on “innodb_ft_enable_diag_print”, this will print out extra query info: Error log: keynr=2, 'people' NL search Total docs: 10954826 Total words: 0 UNION: Searching: 'people' Processing time: 2 secs: row(s) 666877: error: 10 ft_init() ft_init_ext() keynr=2, 'people' NL search Total docs: 10954826 Total words: 0 UNION: Searching: 'people' Processing time: 3 secs: row(s) 666877: error: 10 Output shows it only took InnoDB only 3 seconds to get the result, while the whole query took 16 minutes to finish. So large amount of time has been wasted on the un-needed row fetching. The Solution: The solution is obvious. MySQL can skip some of its steps, optimize its plan and obtain useful information directly from InnoDB. Some of savings from doing this include: 1) Avoid redundant sorting. Since InnoDB already sorted the result according to ranking. MySQL Query Processing layer does not need to sort to get top matching results. 2) Avoid row by row fetching to get the matching count. InnoDB provides all the matching records. All those not in the result list should all have ranking of 0, and no need to be retrieved. And InnoDB has a count of total matching records on hand. No need to recount. 3) Covered index scan. InnoDB results always contains the matching records' Document ID and their ranking. So if only the Document ID and ranking is needed, there is no need to go to user table to fetch the record itself. 4) Narrow the search result early, reduce the user table access. If the user wants to get top N matching records, we do not need to fetch all matching records from user table. We should be able to first select TOP N matching DOC IDs, and then only fetch corresponding records with these Doc IDs. Performance Results and comparison with MyISAM The result by this change is very obvious. I includes six testing result performed by Alexander Rubin just to demonstrate how fast the InnoDB query now becomes when comparing MyISAM Full-Text Search. These tests are base on the English Wikipedia data of 5.4 Million rows and approximately 16G table. The test was performed on a machine with 1 CPU Dual Core, SSD drive, 8G of RAM and InnoDB_buffer_pool is set to 8 GB. Table 1: SELECT with LIMIT CLAUSE mysql> SELECT si_title, match(si_title, si_text) against('family') as rel FROM si WHERE match(si_title, si_text) against('family') ORDER BY rel desc LIMIT 10; InnoDB MyISAM Times Faster Time for the query 1.63 sec 3 min 26.31 sec 127 You can see for this particular query (retrieve top 10 records), InnoDB Full-Text Search is now approximately 127 times faster than MyISAM. Table 2: SELECT COUNT QUERY mysql>select count(*) from si where match(si_title, si_text) against('family‘); +----------+ | count(*) | +----------+ | 293955 | +----------+ InnoDB MyISAM Times Faster Time for the query 1.35 sec 28 min 59.59 sec 1289 In this particular case, where there are 293k matching results, InnoDB took only 1.35 second to get all of them, while take MyISAM almost half an hour, that is about 1289 times faster!. Table 3: SELECT ID with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, match(si_title, si_text) against(<TERM>) as rel FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.5 sec 5.05 sec 10.1 family film 0.95 sec 25.39 sec 26.7 Pizza restaurant orange county California 0.93 sec 32.03 sec 34.4 President united states of America 2.5 sec 36.98 sec 14.8 Table 4: SELECT title and text with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, si_title, si_text, ... as rel FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.61 sec 41.65 sec 68.3 family film 1.15 sec 47.17 sec 41.0 Pizza restaurant orange county california 1.03 sec 48.2 sec 46.8 President united states of america 2.49 sec 44.61 sec 17.9 Table 5: SELECT ID with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, match(si_title, si_text) against(<TERM>) as rel  FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.5 sec 5.05 sec 10.1 family film 0.95 sec 25.39 sec 26.7 Pizza restaurant orange county califormia 0.93 sec 32.03 sec 34.4 President united states of america 2.5 sec 36.98 sec 14.8 Table 6: SELECT COUNT(*) mysql> SELECT count(*) FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.47 sec 82 sec 174.5 family film 0.83 sec 131 sec 157.8 Pizza restaurant orange county califormia 0.74 sec 106 sec 143.2 President united states of america 1.96 sec 220 sec 112.2  Again, table 3 to table 6 all showing InnoDB consistently outperform MyISAM in these queries by a large margin. It becomes obvious the InnoDB has great advantage over MyISAM in handling large data search. Summary: These results demonstrate the great performance we could achieve by making MySQL optimizer and InnoDB Full-Text Search more tightly coupled. I think there are still many cases that InnoDB’s result info have not been fully taken advantage of, which means we still have great room to improve. And we will continuously explore the area, and get more dramatic results for InnoDB full-text searches. Jimmy Yang, September 29, 2012

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  • South Korea Upcoming Cap and Trade Legislation

    - by Evelyn Neumayr
    In my previous blogs I talked about climate change legislation trends in California, Australia and the European Union. In the next series of blogs, I am going to highlight how carbon trading and sustainability reporting legislation is evolving in other Asia Pacific countries, including South Korea, China, Japan, India and Taiwan - starting with South Korea. South Korea passed legislation to begin a national cap-and-trade program in May 2012. Korea is the 8th biggest source of GHG emissions in the world and has a national target of cutting them 30% by 2020. South Korea's program will cover about 60% of emissions and will affect big emitters across the economy, including utilities, major manufacturers and even large universities. Emissions trading is scheduled to begin in Korea in 2015, the same year as in Australia and China. Oracle Environmental Accounting and Reporting supports the needs of South Korea and helps ensure consistency across organizations in how data is collected, retained, controlled, consolidated and used in calculating and reporting emissions inventory. Learn more about the upcoming cap and trade legislation in South Korea and how to use Oracle Environmental Accounting and Reporting to meet those requirements here. By Elena Avesani, Principal Product Strategy Manager, Oracle

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  • SQL SERVER – Weekly Series – Memory Lane – #037

    - by Pinal Dave
    Here is the list of selected articles of SQLAuthority.com across all these years. Instead of just listing all the articles I have selected a few of my most favorite articles and have listed them here with additional notes below it. Let me know which one of the following is your favorite article from memory lane. 2007 Convert Text to Numbers (Integer) – CAST and CONVERT If table column is VARCHAR and has all the numeric values in it, it can be retrieved as Integer using CAST or CONVERT function. List All Stored Procedure Modified in Last N Days If SQL Server suddenly start behaving in un-expectable behavior and if stored procedure were changed recently, following script can be used to check recently modified stored procedure. If a stored procedure was created but never modified afterwards modified date and create a date for that stored procedure are same. Count Duplicate Records – Rows Validate Field For DATE datatype using function ISDATE() We always checked DATETIME field for incorrect data type. One of the user input date as 30/2/2007. The date was sucessfully inserted in the temp table but while inserting from temp table to final table it crashed with error. We had now task to validate incorrect date value before we insert in final table. Jr. Developer asked me how can he do that? We check for incorrect data type (varchar, int, NULL) but this is incorrect date value. Regular expression works fine with them because of mm/dd/yyyy format. 2008 Find Space Used For Any Particular Table It is very simple to find out the space used by any table in the database. Two Convenient Features Inline Assignment – Inline Operations Here is the script which does both – Inline Assignment and Inline Operation DECLARE @idx INT = 0 SET @idx+=1 SELECT @idx Introduction to SPARSE Columns SPARSE column are better at managing NULL and ZERO values in SQL Server. It does not take any space in database at all. If column is created with SPARSE clause with it and it contains ZERO or NULL it will be take lesser space then regular column (without SPARSE clause). SP_CONFIGURE – Displays or Changes Global Configuration Settings If advanced settings are not enabled at configuration level SQL Server will not let user change the advanced features on server. Authorized user can turn on or turn off advance settings. 2009 Standby Servers and Types of Standby Servers Standby Server is a type of server that can be brought online in a situation when Primary Server goes offline and application needs continuous (high) availability of the server. There is always a need to set up a mechanism where data and objects from primary server are moved to secondary (standby) server. BLOB – Pointer to Image, Image in Database, FILESTREAM Storage When it comes to storing images in database there are two common methods. I had previously blogged about the same subject on my visit to Toronto. With SQL Server 2008, we have a new method of FILESTREAM storage. However, the answer on when to use FILESTREAM and when to use other methods is still vague in community. 2010 Upper Case Shortcut SQL Server Management Studio I select the word and hit CTRL+SHIFT+U and it SSMS immediately changes the case of the selected word. Similar way if one want to convert cases to lower case, another short cut CTRL+SHIFT+L is also available. The Self Join – Inner Join and Outer Join Self Join has always been a noteworthy case. It is interesting to ask questions about self join in a room full of developers. I often ask – if there are three kinds of joins, i.e.- Inner Join, Outer Join and Cross Join; what type of join is Self Join? The usual answer is that it is an Inner Join. However, the reality is very different. Parallelism – Row per Processor – Row per Thread – Thread 0  If you look carefully in the Properties window or XML Plan, there is “Thread 0?. What does this “Thread 0” indicate? Well find out from the blog post. How do I Learn and How do I Teach The blog post has raised three very interesting questions. How do you learn? How do you teach? What are you learning or teaching? Let me try to answer the same. 2011 SQL SERVER – Interview Questions and Answers – Frequently Asked Questions – Day 7 of 31 What are Different Types of Locks? What are Pessimistic Lock and Optimistic Lock? When is the use of UPDATE_STATISTICS command? What is the Difference between a HAVING clause and a WHERE clause? What is Connection Pooling and why it is Used? What are the Properties and Different Types of Sub-Queries? What are the Authentication Modes in SQL Server? How can it be Changed? SQL SERVER – Interview Questions and Answers – Frequently Asked Questions – Day 8 of 31 Which Command using Query Analyzer will give you the Version of SQL Server and Operating System? What is an SQL Server Agent? Can a Stored Procedure call itself or a Recursive Stored Procedure? How many levels of SP nesting is possible? What is Log Shipping? Name 3 ways to get an Accurate Count of the Number of Records in a Table? What does it mean to have QUOTED_IDENTIFIER ON? What are the Implications of having it OFF? What is the Difference between a Local and a Global Temporary Table? What is the STUFF Function and How Does it Differ from the REPLACE Function? What is PRIMARY KEY? What is UNIQUE KEY Constraint? What is FOREIGN KEY? SQL SERVER – Interview Questions and Answers – Frequently Asked Questions – Day 9 of 31 What is CHECK Constraint? What is NOT NULL Constraint? What is the difference between UNION and UNION ALL? What is B-Tree? How to get @@ERROR and @@ROWCOUNT at the Same Time? What is a Scheduled Job or What is a Scheduled Task? What are the Advantages of Using Stored Procedures? What is a Table Called, if it has neither Cluster nor Non-cluster Index? What is it Used for? Can SQL Servers Linked to other Servers like Oracle? What is BCP? When is it Used? SQL SERVER – Interview Questions and Answers – Frequently Asked Questions – Day 10 of 31 What Command do we Use to Rename a db, a Table and a Column? What are sp_configure Commands and SET Commands? How to Implement One-to-One, One-to-Many and Many-to-Many Relationships while Designing Tables? What is Difference between Commit and Rollback when Used in Transactions? What is an Execution Plan? When would you Use it? How would you View the Execution Plan? SQL SERVER – Interview Questions and Answers – Frequently Asked Questions – Day 11 of 31 What is Difference between Table Aliases and Column Aliases? Do they Affect Performance? What is the difference between CHAR and VARCHAR Datatypes? What is the Difference between VARCHAR and VARCHAR(MAX) Datatypes? What is the Difference between VARCHAR and NVARCHAR datatypes? Which are the Important Points to Note when Multilanguage Data is Stored in a Table? How to Optimize Stored Procedure Optimization? What is SQL Injection? How to Protect Against SQL Injection Attack? How to Find Out the List Schema Name and Table Name for the Database? What is CHECKPOINT Process in the SQL Server? SQL SERVER – Interview Questions and Answers – Frequently Asked Questions – Day 12 of 31 How does Using a Separate Hard Drive for Several Database Objects Improves Performance Right Away? How to Find the List of Fixed Hard Drive and Free Space on Server? Why can there be only one Clustered Index and not more than one? What is Difference between Line Feed (\n) and Carriage Return (\r)? Is It Possible to have Clustered Index on Separate Drive From Original Table Location? What is a Hint? How to Delete Duplicate Rows? Why the Trigger Fires Multiple Times in Single Login? 2012 CTRL+SHIFT+] Shortcut to Select Code Between Two Parenthesis Shortcut key is CTRL+SHIFT+]. This key can be very useful when dealing with multiple subqueries, CTE or query with multiple parentheses. When exercised this shortcut key it selects T-SQL code between two parentheses. Monday Morning Puzzle – Query Returns Results Sometimes but Not Always I am beginner with SQL Server. I have one query, it sometime returns a result and sometime it does not return me the result. Where should I start looking for a solution and what kind of information I should send to you so you can help me with solving. I have no clue, please guide me. Remove Debug Button in SSMS – SQL in Sixty Seconds #020 – Video Effect of Case Sensitive Collation on Resultset Collation is a very interesting concept but I quite often see it is heavily neglected. I have seen developer and DBA looking for a workaround to fix collation error rather than understanding if the side effect of the workaround. Switch Between Two Parenthesis using Shortcut CTRL+] Earlier this week I wrote a blog post about CTRL+SHIFT+] Shortcut to Select Code Between Two Parenthesis, I received quite a lot of positive feedback from readers. If you are a regular reader of the blog post, you must be aware that I appreciate the learning shared by readers. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Memory Lane, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Can I remove all-caps and shorten the disclaimer on my License?

    - by stefano palazzo
    I am using the MIT License for a particular piece of code. Now, this license has a big disclaimer in all-caps: THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF... ... I've seen a normally capitalised disclaimer on the zlib license (notice that it is above the license text), and even software with no disclaimer at all (which implies, i take it, that there is indeed a guarantee?), but i'd like some sourced advice by a trusted party. I just haven't found any. GNU's License notice for other files comes with this disclaimer: This file is offered as-is, without any warranty. Short and simple. My question therefore: Are there any trusted sources indicating that a short rather than long, and a normally spelled rather than capitalised disclaimer (or even one or the other) are safely usable in all of the jurisdictions I should be concerned with? If the answer turns out to be yes: Why not simply use the short license notice that the fsf proposes for readme-files and short help documents instead of the MIT License? Is there any evidence suggesting this short 'license' will not hold up? For the purposes of this question, the software is released in the European Union, should it make any difference.

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  • C# - How to store and reuse queries

    - by Jason Holland
    I'm learning C# by programming a real monstrosity of an application for personal use. Part of my application uses several SPARQL queries like so: const string ArtistByRdfsLabel = @" PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> SELECT DISTINCT ?artist WHERE {{ {{ ?artist rdf:type <http://dbpedia.org/ontology/MusicalArtist> . ?artist rdfs:label ?rdfsLabel . }} UNION {{ ?artist rdf:type <http://dbpedia.org/ontology/Band> . ?artist rdfs:label ?rdfsLabel . }} FILTER ( str(?rdfsLabel) = '{0}' ) }}"; string Query = String.Format(ArtistByRdfsLabel, Artist); I don't like the idea of keeping all these queries in the same class that I'm using them in so I thought I would just move them into their own dedicated class to remove clutter in my RestClient class. I'm used to working with SQL Server and just wrapping every query in a stored procedure but since this is not SQL Server I'm scratching my head on what would be the best for these SPARQL queries. Are there any better approaches to storing these queries using any special C# language features (or general, non C# specific, approaches) that I may not already know about?

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  • Developing a SQL Server Function in a Test-Harness.

    - by Phil Factor
    /* Many times, it is a lot quicker to take some pain up-front and make a proper development/test harness for a routine (function or procedure) rather than think ‘I’m feeling lucky today!’. Then, you keep code and harness together from then on. Every time you run the build script, it runs the test harness too.  The advantage is that, if the test harness persists, then it is much less likely that someone, probably ‘you-in-the-future’  unintentionally breaks the code. If you store the actual code for the procedure as well as the test harness, then it is likely that any bugs in functionality will break the build rather than to introduce subtle bugs later on that could even slip through testing and get into production.   This is just an example of what I mean.   Imagine we had a database that was storing addresses with embedded UK postcodes. We really wouldn’t want that. Instead, we might want the postcode in one column and the address in another. In effect, we’d want to extract the entire postcode string and place it in another column. This might be part of a table refactoring or int could easily be part of a process of importing addresses from another system. We could easily decide to do this with a function that takes in a table as its parameter, and produces a table as its output. This is all very well, but we’d need to work on it, and test it when you make an alteration. By its very nature, a routine like this either works very well or horribly, but there is every chance that you might introduce subtle errors by fidding with it, and if young Thomas, the rather cocky developer who has just joined touches it, it is bound to break.     right, we drop the function we’re developing and re-create it. This is so we avoid the problem of having to change CREATE to ALTER when working on it. */ IF EXISTS(SELECT * FROM sys.objects WHERE name LIKE ‘ExtractPostcode’                                      and schema_name(schema_ID)=‘Dbo’)     DROP FUNCTION dbo.ExtractPostcode GO   /* we drop the user-defined table type and recreate it */ IF EXISTS(SELECT * FROM sys.types WHERE name LIKE ‘AddressesWithPostCodes’                                    and schema_name(schema_ID)=‘Dbo’)   DROP TYPE dbo.AddressesWithPostCodes GO /* we drop the user defined table type and recreate it */ IF EXISTS(SELECT * FROM sys.types WHERE name LIKE ‘OutputFormat’                                    and schema_name(schema_ID)=‘Dbo’)   DROP TYPE dbo.OutputFormat GO   /* and now create the table type that we can use to pass the addresses to the function */ CREATE TYPE AddressesWithPostCodes AS TABLE ( AddressWithPostcode_ID INT IDENTITY PRIMARY KEY, –because they work better that way! Address_ID INT NOT NULL, –the address we are fixing TheAddress VARCHAR(100) NOT NULL –The actual address ) GO CREATE TYPE OutputFormat AS TABLE (   Address_ID INT PRIMARY KEY, –the address we are fixing   TheAddress VARCHAR(1000) NULL, –The actual address   ThePostCode VARCHAR(105) NOT NULL – The Postcode )   GO CREATE FUNCTION ExtractPostcode(@AddressesWithPostCodes AddressesWithPostCodes READONLY)  /** summary:   > This Table-valued function takes a table type as a parameter, containing a table of addresses along with their integer IDs. Each address has an embedded postcode somewhere in it but not consistently in a particular place. The routine takes out the postcode and puts it in its own column, passing back a table where theinteger key is accompanied by the address without the (first) postcode and the postcode. If no postcode, then the address is returned unchanged and the postcode will be a blank string Author: Phil Factor Revision: 1.3 date: 20 May 2014 example:      – code: returns:   > Table of  Address_ID, TheAddress and ThePostCode. **/     RETURNS @FixedAddresses TABLE   (   Address_ID INT, –the address we are fixing   TheAddress VARCHAR(1000) NULL, –The actual address   ThePostCode VARCHAR(105) NOT NULL – The Postcode   ) AS – body of the function BEGIN DECLARE @BlankRange VARCHAR(10) SELECT  @BlankRange = CHAR(0)+‘- ‘+CHAR(160) INSERT INTO @FixedAddresses(Address_ID, TheAddress, ThePostCode) SELECT Address_ID,          CASE WHEN start>0 THEN REPLACE(STUFF([Theaddress],start,matchlength,”),‘  ‘,‘ ‘)             ELSE TheAddress END            AS TheAddress,        CASE WHEN Start>0 THEN SUBSTRING([Theaddress],start,matchlength-1) ELSE ” END AS ThePostCode FROM (–we have a derived table with the results we need for the chopping SELECT MAX(PATINDEX([matched],‘ ‘+[Theaddress] collate SQL_Latin1_General_CP850_Bin)) AS start,         MAX( CASE WHEN PATINDEX([matched],‘ ‘+[Theaddress] collate SQL_Latin1_General_CP850_Bin)>0 THEN TheLength ELSE 0 END) AS matchlength,        MAX(TheAddress) AS TheAddress,        Address_ID FROM (SELECT –first the match, then the length. There are three possible valid matches         ‘%['+@BlankRange+'][A-Z][0-9] [0-9][A-Z][A-Z]%’, 7 –seven character postcode       UNION ALL SELECT ‘%['+@BlankRange+'][A-Z][A-Z0-9][A-Z0-9] [0-9][A-Z][A-Z]%’, 8       UNION ALL SELECT ‘%['+@BlankRange+'][A-Z][A-Z][A-Z0-9][A-Z0-9] [0-9][A-Z][A-Z]%’, 9)      AS f(Matched,TheLength) CROSS JOIN  @AddressesWithPostCodes GROUP BY [address_ID] ) WORK; RETURN END GO ——————————-end of the function————————   IF NOT EXISTS (SELECT * FROM sys.objects WHERE name LIKE ‘ExtractPostcode’)   BEGIN   RAISERROR (‘There was an error creating the function.’,16,1)   RETURN   END   /* now the job is only half done because we need to make sure that it works. So we now load our sample data, making sure that for each Sample, we have what we actually think the output should be. */ DECLARE @InputTable AddressesWithPostCodes INSERT INTO  @InputTable(Address_ID,TheAddress) VALUES(1,’14 Mason mews, Awkward Hill, Bibury, Cirencester, GL7 5NH’), (2,’5 Binney St      Abbey Ward    Buckinghamshire      HP11 2AX UK’), (3,‘BH6 3BE 8 Moor street, East Southbourne and Tuckton W     Bournemouth UK’), (4,’505 Exeter Rd,   DN36 5RP Hawerby cum BeesbyLincolnshire UK’), (5,”), (6,’9472 Lind St,    Desborough    Northamptonshire NN14 2GH  NN14 3GH UK’), (7,’7457 Cowl St, #70      Bargate Ward  Southampton   SO14 3TY UK’), (8,”’The Pippins”, 20 Gloucester Pl, Chirton Ward,   Tyne & Wear   NE29 7AD UK’), (9,’929 Augustine lane,    Staple Hill Ward     South Gloucestershire      BS16 4LL UK’), (10,’45 Bradfield road, Parwich   Derbyshire    DE6 1QN UK’), (11,’63A Northampton St,   Wilmington    Kent   DA2 7PP UK’), (12,’5 Hygeia avenue,      Loundsley Green WardDerbyshire    S40 4LY UK’), (13,’2150 Morley St,Dee Ward      Dumfries and Galloway      DG8 7DE UK’), (14,’24 Bolton St,   Broxburn, Uphall and Winchburg    West Lothian  EH52 5TL UK’), (15,’4 Forrest St,   Weston-Super-Mare    North Somerset       BS23 3HG UK’), (16,’89 Noon St,     Carbrooke     Norfolk       IP25 6JQ UK’), (17,’99 Guthrie St,  New Milton    Hampshire     BH25 5DF UK’), (18,’7 Richmond St,  Parkham       Devon  EX39 5DJ UK’), (19,’9165 laburnum St,     Darnall Ward  Yorkshire, South     S4 7WN UK’)   Declare @OutputTable  OutputFormat  –the table of what we think the correct results should be Declare @IncorrectRows OutputFormat –done for error reporting   –here is the table of what we think the output should be, along with a few edge cases. INSERT INTO  @OutputTable(Address_ID,TheAddress, ThePostcode)     VALUES         (1, ’14 Mason mews, Awkward Hill, Bibury, Cirencester, ‘,‘GL7 5NH’),         (2, ’5 Binney St   Abbey Ward    Buckinghamshire      UK’,‘HP11 2AX’),         (3, ’8 Moor street, East Southbourne and Tuckton W    Bournemouth UK’,‘BH6 3BE’),         (4, ’505 Exeter Rd,Hawerby cum Beesby   Lincolnshire UK’,‘DN36 5RP’),         (5, ”,”),         (6, ’9472 Lind St,Desborough    Northamptonshire NN14 3GH UK’,‘NN14 2GH’),         (7, ’7457 Cowl St, #70    Bargate Ward  Southampton   UK’,‘SO14 3TY’),         (8, ”’The Pippins”, 20 Gloucester Pl, Chirton Ward,Tyne & Wear   UK’,‘NE29 7AD’),         (9, ’929 Augustine lane,  Staple Hill Ward     South Gloucestershire      UK’,‘BS16 4LL’),         (10, ’45 Bradfield road, ParwichDerbyshire    UK’,‘DE6 1QN’),         (11, ’63A Northampton St,Wilmington    Kent   UK’,‘DA2 7PP’),         (12, ’5 Hygeia avenue,    Loundsley Green WardDerbyshire    UK’,‘S40 4LY’),         (13, ’2150 Morley St,     Dee Ward      Dumfries and Galloway      UK’,‘DG8 7DE’),         (14, ’24 Bolton St,Broxburn, Uphall and Winchburg    West Lothian  UK’,‘EH52 5TL’),         (15, ’4 Forrest St,Weston-Super-Mare    North Somerset       UK’,‘BS23 3HG’),         (16, ’89 Noon St,  Carbrooke     Norfolk       UK’,‘IP25 6JQ’),         (17, ’99 Guthrie St,      New Milton    Hampshire     UK’,‘BH25 5DF’),         (18, ’7 Richmond St,      Parkham       Devon  UK’,‘EX39 5DJ’),         (19, ’9165 laburnum St,   Darnall Ward  Yorkshire, South     UK’,‘S4 7WN’)       insert into @IncorrectRows(Address_ID,TheAddress, ThePostcode)        SELECT Address_ID,TheAddress,ThePostCode FROM dbo.ExtractPostcode(@InputTable)       EXCEPT     SELECT Address_ID,TheAddress,ThePostCode FROM @outputTable; If @@RowCount>0        Begin        PRINT ‘The following rows gave ‘;     SELECT Address_ID,TheAddress,ThePostCode FROM @IncorrectRows        RAISERROR (‘These rows gave unexpected results.’,16,1);     end   /* For tear-down, we drop the user defined table type */ IF EXISTS(SELECT * FROM sys.types WHERE name LIKE ‘OutputFormat’                                    and schema_name(schema_ID)=‘Dbo’)   DROP TYPE dbo.OutputFormat GO /* once this is working, the development work turns from a chore into a delight and one ends up hitting execute so much more often to catch mistakes as soon as possible. It also prevents a wildly-broken routine getting into a build! */

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  • Best approach to accessing multiple data source in a web application

    - by ced
    I've a base web application developed with .net technologies (asp.net) used into our LAN by 30 users simultanousley. From this web application I've developed two verticalization used from online users. In future i expect hundreds users simultanousley. Our company has different locations. Each site use its own database. The web application needs to retrieve information from all existing databases. Currently there are 3 database, but it's not excluded in the future expansion of new offices. My question then is: What is the best strategy for a web application to retrieve information from different databases (which have the same schema) whereas the main objective performance data access and high fault tolerance? There are case studies in the literature that I can take as an example? Do you know some good documents to study? Do you have any tips to implement this task so efficient? Intuitively I would say that two possible strategy are: perform queries from different sources in real time and aggregate data on the fly; create a repository that contains the union of the entities of interest and perform queries directly on repository;

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