zlika's » IT

How to store UTF-8 data in SQL Server

zlika — Sun, 06 Mar 2011 22:09:02 +0000

Very frequently we need to use the data type UTF-8 to store a data in different languages. As described in the MSDN page the UTF-8 data type is stored in the ‘Samples’ folder in SQL Server (Server\100\Samples\Engine\Programmability\CLR\UTF8String). You just need to activate it.

Create data type UTF-8

1. Generate a strong name key file
1.1. Open Command Prompt (Start –> Run –> ‘cmd’)
1.2. Change directory (C:\Program Files\Microsoft SDKs\Windows\v7.0A\bin)
1.3. Generate the key (C:\Program Files\Microsoft SDKs\Windows\v7.0A\bin>sn -k “C:\Program Files\Microsoft SQL Server\100\Samples\SampleKey.snk”)

2. Build the sample
2.1. Open Microsoft Visual Studio
2.2. Open ‘C:\Program Files\Microsoft SQL Server\100\Samples\Engine\Programmability\CLR\UTF8String\CS\UTF8String.sln’
2.3. Build –> Build UTF8String

3. Install UTF-8 data type
3.1. Open SQL Server Management Studio
3.2. Open ‘C:\Program Files\Microsoft SQL Server\100\Samples\Engine\Programmability\CLR\UTF8String\Scripts\InstallCS.sql’
3.3. Execute it
3.4. Test UTF-8 data type (C:\Program Files\Microsoft SQL Server\100\Samples\Engine\Programmability\CLR\UTF8String\Scripts\Test.sql)
3.4.1. Fix the error message ‘Msg 6263, Level 16, State 1, Line 2
Execution of user code in the .NET Framework is disabled. Enable “clr enabled” configuration option.‘

sp_configure 'clr enabled', 1;
RECONFIGURE;

3.4.2. Test UTF-8

DECLARE @u Utf8String;
SET @u = CONVERT(Utf8String, 'hello world');
SELECT
	@u.ToString()
	, CONVERT(varbinary(8000), @u)
	, SUBSTRING(@u.ToString(), 1, 5)
	, @u.Utf8Bytes;

The result

Create PHP form to insert a UTF-8 data

1. Create table

USE zlika;

CREATE TABLE CharsetTest
(
	[Language] VARCHAR(50)
	, [Phrase] UTF8String
);

2. Create PHP form (insert.php)



	
	Charset Test






	Language: 

	Phrase:

3. Insert test data

Bulgarian –> Честита Нова Година!
Arabic –> سنة جديدة سعيدة!
Armenian — > Շնորհավոր Նոր Տարի
Azarbaijani –> Yeni iliniz mübarək
Catalan –> Feliç Any Nou!
Chinese (Traditional) –> 新年快樂
Polish –> Szczęśliwego Nowego Roku!
Thai –> สวัสดีปีใหม่
hindi –> नया साल मुबारक हो

4. Check the content of the table (check.php)



	
	Charset Test



';

$i = 0;
while ($i < mssql_num_fields($result))
{
	echo ''. mssql_field_name($result, $i) . '';
	$i++;
}
echo '';

//Retrieving rows
while ($row = mssql_fetch_array($result, MSSQL_ASSOC))
{
	echo '';
	foreach ($row as $data)
	{
		echo '' . $data . '';
	}
	echo'';
}

echo '';

// Close database connection
mssql_close($connect);

?>

The result:

The result

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MaraK

zlika — Thu, 17 Feb 2011 16:41:01 +0000

I’m starting a project for management of a small store, using C# and SQL Server Express.

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Filegroups and Autogrowth in MS SQL Server

zlika — Sun, 19 Sep 2010 03:27:10 +0000

Yesterday I was asked about the way a table is stored in several files in a filegroup.

The current example explains it. First, I create a database, containing two secondary data files in a filegroup.

CREATE DATABASE zlika ON PRIMARY
(
	NAME = N'zlika'
	, FILENAME = N'C:\Databases\zlika.mdf'
)
,

FILEGROUP zlikaGroup
(
	NAME = N'fg1_1'
	, FILENAME = N'C:\Databases\fg1_1.ndf'
)
,
(
	NAME = N'fg1_2'
	, FILENAME = N'C:\Databases\fg1_2.ndf'
)

LOG ON
(
	NAME = N'zlika_log'
	, FILENAME = N'C:\Databases\zlika_log.ldf'
)
GO

The sizes of the files are as follow:

File sizes after creation of the database

Next I create a table that stores its rows in the filegroup

USE zlika
GO

CREATE TABLE TestTable
(
	ID INT IDENTITY NOT NULL
	, FirstName VARCHAR(50) NOT NULL
	, LastName VARCHAR(50) NOT NULL
)
ON zlikaGroup
GO

I populate the table with any information

USE zlika
GO

INSERT INTO TestTable VALUES ('George', 'Henderson')
GO 50000

The sizes of the files are as follow:

File sizes after the population of the table

I execute the same script and check the sizes of the files once again:

File sizes after adding more data

The answer is: MS SQL Server stores the data in several files in a filegroup according to their Autogrowth settings. The database I have created autogrows the secondary data files by 1MB:

The properties of the database - Files

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DENSE_RANK() function in MS SQL Server

zlika — Thu, 05 Aug 2010 04:46:24 +0000

As we can read in Books Online in SQL Server

Ranking functions return a ranking value for each row in a partition. Depending on the function that is used, some rows might receive the same value as other rows. Ranking functions are nondeterministic.

I have created simple example for usage of the Ranking function DENSE_RANK().

We have a database with the addresses of all the residents of a city. Many of them have changed their addresses several times. They have changed them by using web application, because the authorities have decided that’s the most convenient manner for everybody. Down the years, one user may have more then one record (change of address). We need to select only one actual address or only one precedent address per user. We need to partition the table and select only the data we need.

First I create the tables, keys and I populate them.

USE zlika
GO

-- Create Tables and keys
CREATE TABLE [Users]
(
	[ID] INT IDENTITY (1, 1) PRIMARY KEY
	, [FirstName] VARCHAR(50)
	, [LastName] VARCHAR(50)
)
GO

CREATE TABLE [Address]
(
	[ID] INT IDENTITY (1, 1) PRIMARY KEY
	, [UserID] INT
	, [StreetNo] INT
	, [StreetName] VARCHAR(100)
	, [City] VARCHAR(100)
	, [Phone] VARCHAR(25)
	, [DateOfRegistration] DATETIME NULL
)
GO

ALTER TABLE [Address]
WITH CHECK ADD CONSTRAINT
FK_Users_ID FOREIGN KEY
(
	UserID
)
REFERENCES Users
(
	ID
)
GO

ALTER TABLE [Address]
ADD CONSTRAINT DF_Address_DateOfRegistration
	DEFAULT (GETDATE())
	FOR DateOfRegistration
GO

-- Populate Tables
INSERT INTO [Users] (FirstName, LastName) VALUES
('First', 'Smith')
, ('Second', 'George')
, ('Third', 'Thompson')
GO

SELECT * FROM Users
GO

INSERT INTO [Address] (UserID, StreetNo, StreetName, City, Phone) VALUES (1, 111, 'StreetName1', 'City1', 11111)
WAITFOR DELAY '00:00:01'
INSERT INTO [Address] (UserID, StreetNo, StreetName, City, Phone) VALUES (1, 222, 'StreetName2', 'City2', 22222)
WAITFOR DELAY '00:00:01'
INSERT INTO [Address] (UserID, StreetNo, StreetName, City, Phone) VALUES (1, 333, 'StreetName3', 'City3', 33333)
WAITFOR DELAY '00:00:01'
INSERT INTO [Address] (UserID, StreetNo, StreetName, City, Phone) VALUES (1, 444, 'StreetName4', 'City4', 44444)
WAITFOR DELAY '00:00:01'
INSERT INTO [Address] (UserID, StreetNo, StreetName, City, Phone) VALUES (1, 555, 'StreetName5', 'City5', 55555)
WAITFOR DELAY '00:00:01'
INSERT INTO [Address] (UserID, StreetNo, StreetName, City, Phone) VALUES (2, 1111, 'StreetName11', 'City11', 1111111111)
WAITFOR DELAY '00:00:01'
INSERT INTO [Address] (UserID, StreetNo, StreetName, City, Phone) VALUES (2, 2222, 'StreetName22', 'City22', 2222222222)
WAITFOR DELAY '00:00:01'
INSERT INTO [Address] (UserID, StreetNo, StreetName, City, Phone) VALUES (3, 3, 'StreetName333', 'City333', 333)
GO

SELECT * FROM [Address]
GO

Users table contains three rows as follow:

Users Table

Address table contains eight rows for these three users:

Address Table

We need to partition the table. That means we need to split the data according to some logic. DANSE_RANK() function does it for us. It split users by their ID (UserID), order the partitions descending by date and adds ranks.

SELECT
	A.ID
	, A.UserID
	, U.FirstName
	, U.LastName
	, A.StreetNo
	, A.StreetName
	, A.City
	, A.Phone
	, A.DateOfRegistration
	, DENSE_RANK() OVER (PARTITION BY UserID ORDER BY DateOfRegistration DESC) AS [Rank]

FROM
	[Address] AS A
	INNER JOIN dbo.[Users] AS U
		ON A.UserID = U.ID

--WHERE
--	[Rank] = 2
GO

The result of the query is the data plus a temporary column for ranking.

Adding DENSE_RANK column (click on image)

If I try to reach the result in single query (uncommenting lines 18 and 19), I’ll get “Invalid column name ‘Rank’” error. The reason is that I generate the [Rank] column during the selection of the data and I can’t filter it at this time.

Invalid column name 'Rank'

To get the data that I need, I simulate a View – create a temporary table and read a filtered data from it.

USE zlika
GO

CREATE TABLE #Temp
(
	ID INT
	, [UserID] INT
	, [FirstName] VARCHAR(50)
	, [LastName] VARCHAR(50)
	, [StreetNo] INT
	, [StreetName] VARCHAR(100)
	, [City] VARCHAR(100)
	, [Phone] VARCHAR(25)
	, [DateOfRegistration] DATETIME NULL
	, [Rank] INT
)
GO

INSERT INTO #Temp
SELECT
	A.ID
	, A.UserID
	, U.FirstName
	, U.LastName
	, A.StreetNo
	, A.StreetName
	, A.City
	, A.Phone
	, DateOfRegistration, DENSE_RANK() OVER (PARTITION BY UserID ORDER BY DateOfRegistration DESC) AS [Rank]

FROM
	[Address] AS A
	INNER JOIN dbo.[Users] AS U
		ON A.UserID = U.ID
GO

SELECT
	ID
	, UserID
	, FirstName
	, LastName
	, StreetNo
	, StreetName
	, City
	, Phone
	, DateOfRegistration

FROM
	#Temp

WHERE
	[Rank] = 1

ORDER BY
	UserID
GO

DROP TABLE #Temp
GO

The result is the last address of the residents. If we need the precedent addresses, we’ll filter the [Rank] column to equals 2.

DENSE_RANK result

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Outlook 2010 Data File Location

zlika — Mon, 31 May 2010 01:14:24 +0000

If you use Outlook 2010 and you prefer to have your data files on external hard drive, you have to point your file location as you add your account manually :-)

Outlook 2010 Data File Location

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Congratulations! You’ve passed the Exam! :-)

zlika — Thu, 27 May 2010 03:45:06 +0000

I’ve passed the Exam 70-431: Microsoft® SQL Server™ 2005 – Implementation and Maintenance (Transcript ID: 907652, Access Code: 38959BBD) on May 25, 2010 at Prometric Testing Center in Montreal. What’s next? Microsoft® SQL Server™ + .NET :-)

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Join Tables in MS SQL – FROM or WHERE clause?

zlika — Fri, 22 Jan 2010 02:16:12 +0000

I was interested of the different SQL “accents”. According to Microsoft SQL Server learning books, we query like this:

SELECT
 *

FROM
 table1 INNER JOIN table2
  ON table1.PK = table2.FK
GO

The MySQL guys makes queries like this:

SELECT *
FROM table1, table2
WHERE table1.PK = table2.FK;

Using Microsoft SQL Server 2008, I wrote a script to create and populate two tables (the model data is found somewhere in internet).

IF EXISTS (
SELECT 1
 FROM sys.objects
 WHERE OBJECT_ID = OBJECT_ID(N'City')
 AND type = (N'U')
)
DROP TABLE City
GO

IF EXISTS (
 SELECT 1
 FROM sys.objects
 WHERE OBJECT_ID = OBJECT_ID(N'Country')
 AND type = (N'U')
)
DROP TABLE Country
GO

CREATE TABLE Country (
 CountryID INT IDENTITY(1, 1) NOT NULL PRIMARY KEY CLUSTERED
 , CountryName VARCHAR(50) NOT NULL
)
GO

CREATE TABLE City (
 CityID INT IDENTITY(1, 1) NOT NULL PRIMARY KEY CLUSTERED
 , CityName VARCHAR(50) NOT NULL
 , CountryID INT NOT NULL REFERENCES Country(CountryID)
)
GO

INSERT INTO Country (CountryName) VALUES
('Afghanistan')
, ('Algeria')
, ('American Samoa')
, ('Angola')
, ('Anguilla')
, ('Argentina')
, ('Armenia')
, ('Australia')
, ('Austria')
, ('Azerbaijan')
, ('Bahrain')
, ('Bangladesh')
, ('Belarus')
, ('Bolivia')
, ('Brazil')
, ('Brunei')
, ('Bulgaria')
, ('Cambodia')
, ('Cameroon')
, ('Canada')
, ('Chad')
, ('Chile')
, ('China')
, ('Colombia')
, ('Congo, The Democratic Republic of the')
, ('Czech Republic')
, ('Dominican Republic')
, ('Ecuador')
, ('Egypt')
, ('Estonia')
, ('Ethiopia')
, ('Faroe Islands')
, ('Finland')
, ('France')
, ('French Guiana')
, ('French Polynesia')
, ('Gambia')
, ('Germany')
, ('Greece')
, ('Greenland')
, ('Holy See (Vatican City State)')
, ('Hong Kong')
, ('Hungary')
, ('India')
, ('Indonesia')
, ('Iran')
, ('Iraq')
, ('Israel')
, ('Italy')
, ('Japan')
, ('Kazakstan')
, ('Kenya')
, ('Kuwait')
, ('Latvia')
, ('Liechtenstein')
, ('Lithuania')
, ('Madagascar')
, ('Malawi')
, ('Malaysia')
, ('Mexico')
, ('Moldova')
, ('Morocco')
, ('Mozambique')
, ('Myanmar')
, ('Nauru')
, ('Nepal')
, ('Netherlands')
, ('New Zealand')
, ('Nigeria')
, ('North Korea')
, ('Oman')
, ('Pakistan')
, ('Paraguay')
, ('Peru')
, ('Philippines')
, ('Poland')
, ('Puerto Rico')
, ('Romania')
, ('Runion')
, ('Russian Federation')
, ('Saint Vincent and the Grenadines')
, ('Saudi Arabia')
, ('Senegal')
, ('Slovakia')
, ('South Africa')
, ('South Korea')
, ('Spain')
, ('Sri Lanka')
, ('Sudan')
, ('Sweden')
, ('Switzerland')
, ('Taiwan')
, ('Tanzania')
, ('Thailand')
, ('Tonga')
, ('Tunisia')
, ('Turkey')
, ('Turkmenistan')
, ('Tuvalu')
, ('Ukraine')
, ('United Arab Emirates')
, ('United Kingdom')
, ('United States')
, ('Venezuela')
, ('Vietnam')
, ('Virgin Islands, U.S.')
, ('Yemen')
, ('Yugoslavia')
, ('Zambia')
GO

INSERT INTO City (CityName, CountryID) VALUES
('A Corua (La Corua)', 87)
, ('Abha', 82)
, ('Abu Dhabi', 101)
, ('Acua', 60)
, ('Adana', 97)
, ('Addis Abeba', 31)
, ('Aden', 107)
, ('Adoni', 44)
, ('Ahmadnagar', 44)
, ('Akishima', 50)
, ('Akron', 103)
, ('al-Ayn', 101)
, ('al-Hawiya', 82)
, ('al-Manama', 11)
, ('al-Qadarif', 89)
, ('al-Qatif', 82)
, ('Alessandria', 49)
, ('Allappuzha (Alleppey)', 44)
, ('Allende', 60)
, ('Almirante Brown', 6)
, ('Alvorada', 15)
, ('Ambattur', 44)
, ('Amersfoort', 67)
, ('Amroha', 44)
, ('Angra dos Reis', 15)
, ('Anpolis', 15)
, ('Antofagasta', 22)
, ('Aparecida de Goinia', 15)
, ('Apeldoorn', 67)
, ('Araatuba', 15)
, ('Arak', 46)
, ('Arecibo', 77)
, ('Arlington', 103)
, ('Ashdod', 48)
, ('Ashgabat', 98)
, ('Ashqelon', 48)
, ('Asuncin', 73)
, ('Athenai', 39)
, ('Atinsk', 80)
, ('Atlixco', 60)
, ('Augusta-Richmond County', 103)
, ('Aurora', 103)
, ('Avellaneda', 6)
, ('Bag', 15)
, ('Baha Blanca', 6)
, ('Baicheng', 23)
, ('Baiyin', 23)
, ('Baku', 10)
, ('Balaiha', 80)
, ('Balikesir', 97)
, ('Balurghat', 44)
, ('Bamenda', 19)
, ('Bandar Seri Begawan', 16)
, ('Banjul', 37)
, ('Barcelona', 104)
, ('Basel', 91)
, ('Bat Yam', 48)
, ('Batman', 97)
, ('Batna', 2)
, ('Battambang', 18)
, ('Baybay', 75)
, ('Bayugan', 75)
, ('Bchar', 2)
, ('Beira', 63)
, ('Bellevue', 103)
, ('Belm', 15)
, ('Benguela', 4)
, ('Beni-Mellal', 62)
, ('Benin City', 69)
, ('Bergamo', 49)
, ('Berhampore (Baharampur)', 44)
, ('Bern', 91)
, ('Bhavnagar', 44)
, ('Bhilwara', 44)
, ('Bhimavaram', 44)
, ('Bhopal', 44)
, ('Bhusawal', 44)
, ('Bijapur', 44)
, ('Bilbays', 29)
, ('Binzhou', 23)
, ('Birgunj', 66)
, ('Bislig', 75)
, ('Blumenau', 15)
, ('Boa Vista', 15)
, ('Boksburg', 85)
, ('Botosani', 78)
, ('Botshabelo', 85)
, ('Bradford', 102)
, ('Braslia', 15)
, ('Bratislava', 84)
, ('Brescia', 49)
, ('Brest', 34)
, ('Brindisi', 49)
, ('Brockton', 103)
, ('Bucuresti', 78)
, ('Buenaventura', 24)
, ('Bydgoszcz', 76)
, ('Cabuyao', 75)
, ('Callao', 74)
, ('Cam Ranh', 105)
, ('Cape Coral', 103)
, ('Caracas', 104)
, ('Carmen', 60)
, ('Cavite', 75)
, ('Cayenne', 35)
, ('Celaya', 60)
, ('Chandrapur', 44)
, ('Changhwa', 92)
, ('Changzhou', 23)
, ('Chapra', 44)
, ('Charlotte Amalie', 106)
, ('Chatsworth', 85)
, ('Cheju', 86)
, ('Chiayi', 92)
, ('Chisinau', 61)
, ('Chungho', 92)
, ('Cianjur', 45)
, ('Ciomas', 45)
, ('Ciparay', 45)
, ('Citrus Heights', 103)
, ('Citt del Vaticano', 41)
, ('Ciudad del Este', 73)
, ('Clarksville', 103)
, ('Coacalco de Berriozbal', 60)
, ('Coatzacoalcos', 60)
, ('Compton', 103)
, ('Coquimbo', 22)
, ('Crdoba', 6)
, ('Cuauhtmoc', 60)
, ('Cuautla', 60)
, ('Cuernavaca', 60)
, ('Cuman', 104)
, ('Czestochowa', 76)
, ('Dadu', 72)
, ('Dallas', 103)
, ('Datong', 23)
, ('Daugavpils', 54)
, ('Davao', 75)
, ('Daxian', 23)
, ('Dayton', 103)
, ('Deba Habe', 69)
, ('Denizli', 97)
, ('Dhaka', 12)
, ('Dhule (Dhulia)', 44)
, ('Dongying', 23)
, ('Donostia-San Sebastin', 87)
, ('Dos Quebradas', 24)
, ('Duisburg', 38)
, ('Dundee', 102)
, ('Dzerzinsk', 80)
, ('Ede', 67)
, ('Effon-Alaiye', 69)
, ('El Alto', 14)
, ('El Fuerte', 60)
, ('El Monte', 103)
, ('Elista', 80)
, ('Emeishan', 23)
, ('Emmen', 67)
, ('Enshi', 23)
, ('Erlangen', 38)
, ('Escobar', 6)
, ('Esfahan', 46)
, ('Eskisehir', 97)
, ('Etawah', 44)
, ('Ezeiza', 6)
, ('Ezhou', 23)
, ('Faaa', 36)
, ('Fengshan', 92)
, ('Firozabad', 44)
, ('Florencia', 24)
, ('Fontana', 103)
, ('Fukuyama', 50)
, ('Funafuti', 99)
, ('Fuyu', 23)
, ('Fuzhou', 23)
, ('Gandhinagar', 44)
, ('Garden Grove', 103)
, ('Garland', 103)
, ('Gatineau', 20)
, ('Gaziantep', 97)
, ('Gijn', 87)
, ('Gingoog', 75)
, ('Goinia', 15)
, ('Gorontalo', 45)
, ('Grand Prairie', 103)
, ('Graz', 9)
, ('Greensboro', 103)
, ('Guadalajara', 60)
, ('Guaruj', 15)
, ('guas Lindas de Gois', 15)
, ('Gulbarga', 44)
, ('Hagonoy', 75)
, ('Haining', 23)
, ('Haiphong', 105)
, ('Haldia', 44)
, ('Halifax', 20)
, ('Halisahar', 44)
, ('Halle/Saale', 38)
, ('Hami', 23)
, ('Hamilton', 68)
, ('Hanoi', 105)
, ('Hidalgo', 60)
, ('Higashiosaka', 50)
, ('Hino', 50)
, ('Hiroshima', 50)
, ('Hodeida', 107)
, ('Hohhot', 23)
, ('Hoshiarpur', 44)
, ('Hsichuh', 92)
, ('Huaian', 23)
, ('Hubli-Dharwad', 44)
, ('Huejutla de Reyes', 60)
, ('Huixquilucan', 60)
, ('Hunuco', 74)
, ('Ibirit', 15)
, ('Idfu', 29)
, ('Ife', 69)
, ('Ikerre', 69)
, ('Iligan', 75)
, ('Ilorin', 69)
, ('Imus', 75)
, ('Inegl', 97)
, ('Ipoh', 59)
, ('Isesaki', 50)
, ('Ivanovo', 80)
, ('Iwaki', 50)
, ('Iwakuni', 50)
, ('Iwatsuki', 50)
, ('Izumisano', 50)
, ('Jaffna', 88)
, ('Jaipur', 44)
, ('Jakarta', 45)
, ('Jalib al-Shuyukh', 53)
, ('Jamalpur', 12)
, ('Jaroslavl', 80)
, ('Jastrzebie-Zdrj', 76)
, ('Jedda', 82)
, ('Jelets', 80)
, ('Jhansi', 44)
, ('Jinchang', 23)
, ('Jining', 23)
, ('Jinzhou', 23)
, ('Jodhpur', 44)
, ('Johannesburg', 85)
, ('Joliet', 103)
, ('Jos Azueta', 60)
, ('Juazeiro do Norte', 15)
, ('Juiz de Fora', 15)
, ('Junan', 23)
, ('Jurez', 60)
, ('Kabul', 1)
, ('Kaduna', 69)
, ('Kakamigahara', 50)
, ('Kaliningrad', 80)
, ('Kalisz', 76)
, ('Kamakura', 50)
, ('Kamarhati', 44)
, ('Kamjanets-Podilskyi', 100)
, ('Kamyin', 80)
, ('Kanazawa', 50)
, ('Kanchrapara', 44)
, ('Kansas City', 103)
, ('Karnal', 44)
, ('Katihar', 44)
, ('Kermanshah', 46)
, ('Kilis', 97)
, ('Kimberley', 85)
, ('Kimchon', 86)
, ('Kingstown', 81)
, ('Kirovo-Tepetsk', 80)
, ('Kisumu', 52)
, ('Kitwe', 109)
, ('Klerksdorp', 85)
, ('Kolpino', 80)
, ('Konotop', 100)
, ('Koriyama', 50)
, ('Korla', 23)
, ('Korolev', 80)
, ('Kowloon and New Kowloon', 42)
, ('Kragujevac', 108)
, ('Ktahya', 97)
, ('Kuching', 59)
, ('Kumbakonam', 44)
, ('Kurashiki', 50)
, ('Kurgan', 80)
, ('Kursk', 80)
, ('Kuwana', 50)
, ('La Paz', 60)
, ('La Plata', 6)
, ('La Romana', 27)
, ('Laiwu', 23)
, ('Lancaster', 103)
, ('Laohekou', 23)
, ('Lapu-Lapu', 75)
, ('Laredo', 103)
, ('Lausanne', 91)
, ('Le Mans', 34)
, ('Lengshuijiang', 23)
, ('Leshan', 23)
, ('Lethbridge', 20)
, ('Lhokseumawe', 45)
, ('Liaocheng', 23)
, ('Liepaja', 54)
, ('Lilongwe', 58)
, ('Lima', 74)
, ('Lincoln', 103)
, ('Linz', 9)
, ('Lipetsk', 80)
, ('Livorno', 49)
, ('Ljubertsy', 80)
, ('Loja', 28)
, ('London', 102)
, ('London', 20)
, ('Lublin', 76)
, ('Lubumbashi', 25)
, ('Lungtan', 92)
, ('Luzinia', 15)
, ('Madiun', 45)
, ('Mahajanga', 57)
, ('Maikop', 80)
, ('Malm', 90)
, ('Manchester', 103)
, ('Mandaluyong', 75)
, ('Mandi Bahauddin', 72)
, ('Mannheim', 38)
, ('Maracabo', 104)
, ('Mardan', 72)
, ('Maring', 15)
, ('Masqat', 71)
, ('Matamoros', 60)
, ('Matsue', 50)
, ('Meixian', 23)
, ('Memphis', 103)
, ('Merlo', 6)
, ('Mexicali', 60)
, ('Miraj', 44)
, ('Mit Ghamr', 29)
, ('Miyakonojo', 50)
, ('Mogiljov', 13)
, ('Molodetno', 13)
, ('Monclova', 60)
, ('Monywa', 64)
, ('Moscow', 80)
, ('Mosul', 47)
, ('Mukateve', 100)
, ('Munger (Monghyr)', 44)
, ('Mwanza', 93)
, ('Mwene-Ditu', 25)
, ('Myingyan', 64)
, ('Mysore', 44)
, ('Naala-Porto', 63)
, ('Nabereznyje Telny', 80)
, ('Nador', 62)
, ('Nagaon', 44)
, ('Nagareyama', 50)
, ('Najafabad', 46)
, ('Naju', 86)
, ('Nakhon Sawan', 94)
, ('Nam Dinh', 105)
, ('Namibe', 4)
, ('Nantou', 92)
, ('Nanyang', 23)
, ('NDjamna', 21)
, ('Newcastle', 85)
, ('Nezahualcyotl', 60)
, ('Nha Trang', 105)
, ('Niznekamsk', 80)
, ('Novi Sad', 108)
, ('Novoterkassk', 80)
, ('Nukualofa', 95)
, ('Nuuk', 40)
, ('Nyeri', 52)
, ('Ocumare del Tuy', 104)
, ('Ogbomosho', 69)
, ('Okara', 72)
, ('Okayama', 50)
, ('Okinawa', 50)
, ('Olomouc', 26)
, ('Omdurman', 89)
, ('Omiya', 50)
, ('Ondo', 69)
, ('Onomichi', 50)
, ('Oshawa', 20)
, ('Osmaniye', 97)
, ('ostka', 100)
, ('Otsu', 50)
, ('Oulu', 33)
, ('Ourense (Orense)', 87)
, ('Owo', 69)
, ('Oyo', 69)
, ('Ozamis', 75)
, ('Paarl', 85)
, ('Pachuca de Soto', 60)
, ('Pak Kret', 94)
, ('Palghat (Palakkad)', 44)
, ('Pangkal Pinang', 45)
, ('Papeete', 36)
, ('Parbhani', 44)
, ('Pathankot', 44)
, ('Patiala', 44)
, ('Patras', 39)
, ('Pavlodar', 51)
, ('Pemalang', 45)
, ('Peoria', 103)
, ('Pereira', 24)
, ('Phnom Penh', 18)
, ('Pingxiang', 23)
, ('Pjatigorsk', 80)
, ('Plock', 76)
, ('Po', 15)
, ('Ponce', 77)
, ('Pontianak', 45)
, ('Poos de Caldas', 15)
, ('Portoviejo', 28)
, ('Probolinggo', 45)
, ('Pudukkottai', 44)
, ('Pune', 44)
, ('Purnea (Purnia)', 44)
, ('Purwakarta', 45)
, ('Pyongyang', 70)
, ('Qalyub', 29)
, ('Qinhuangdao', 23)
, ('Qomsheh', 46)
, ('Quilmes', 6)
, ('Rae Bareli', 44)
, ('Rajkot', 44)
, ('Rampur', 44)
, ('Rancagua', 22)
, ('Ranchi', 44)
, ('Richmond Hill', 20)
, ('Rio Claro', 15)
, ('Rizhao', 23)
, ('Roanoke', 103)
, ('Robamba', 28)
, ('Rockford', 103)
, ('Ruse', 17)
, ('Rustenburg', 85)
, ('s-Hertogenbosch', 67)
, ('Saarbrcken', 38)
, ('Sagamihara', 50)
, ('Saint Louis', 103)
, ('Saint-Denis', 79)
, ('Sal', 62)
, ('Salala', 71)
, ('Salamanca', 60)
, ('Salinas', 103)
, ('Salzburg', 9)
, ('Sambhal', 44)
, ('San Bernardino', 103)
, ('San Felipe de Puerto Plata', 27)
, ('San Felipe del Progreso', 60)
, ('San Juan Bautista Tuxtepec', 60)
, ('San Lorenzo', 73)
, ('San Miguel de Tucumn', 6)
, ('Sanaa', 107)
, ('Santa Brbara dOeste', 15)
, ('Santa F', 6)
, ('Santa Rosa', 75)
, ('Santiago de Compostela', 87)
, ('Santiago de los Caballeros', 27)
, ('Santo Andr', 15)
, ('Sanya', 23)
, ('Sasebo', 50)
, ('Satna', 44)
, ('Sawhaj', 29)
, ('Serpuhov', 80)
, ('Shahr-e Kord', 46)
, ('Shanwei', 23)
, ('Shaoguan', 23)
, ('Sharja', 101)
, ('Shenzhen', 23)
, ('Shikarpur', 72)
, ('Shimoga', 44)
, ('Shimonoseki', 50)
, ('Shivapuri', 44)
, ('Shubra al-Khayma', 29)
, ('Siegen', 38)
, ('Siliguri (Shiliguri)', 44)
, ('Simferopol', 100)
, ('Sincelejo', 24)
, ('Sirjan', 46)
, ('Sivas', 97)
, ('Skikda', 2)
, ('Smolensk', 80)
, ('So Bernardo do Campo', 15)
, ('So Leopoldo', 15)
, ('Sogamoso', 24)
, ('Sokoto', 69)
, ('Songkhla', 94)
, ('Sorocaba', 15)
, ('Soshanguve', 85)
, ('Sousse', 96)
, ('South Hill', 5)
, ('Southampton', 102)
, ('Southend-on-Sea', 102)
, ('Southport', 102)
, ('Springs', 85)
, ('Stara Zagora', 17)
, ('Sterling Heights', 103)
, ('Stockport', 102)
, ('Sucre', 14)
, ('Suihua', 23)
, ('Sullana', 74)
, ('Sultanbeyli', 97)
, ('Sumqayit', 10)
, ('Sumy', 100)
, ('Sungai Petani', 59)
, ('Sunnyvale', 103)
, ('Surakarta', 45)
, ('Syktyvkar', 80)
, ('Syrakusa', 49)
, ('Szkesfehrvr', 43)
, ('Tabora', 93)
, ('Tabriz', 46)
, ('Tabuk', 82)
, ('Tafuna', 3)
, ('Taguig', 75)
, ('Taizz', 107)
, ('Talavera', 75)
, ('Tallahassee', 103)
, ('Tama', 50)
, ('Tambaram', 44)
, ('Tanauan', 75)
, ('Tandil', 6)
, ('Tangail', 12)
, ('Tanshui', 92)
, ('Tanza', 75)
, ('Tarlac', 75)
, ('Tarsus', 97)
, ('Tartu', 30)
, ('Teboksary', 80)
, ('Tegal', 45)
, ('Tel Aviv-Jaffa', 48)
, ('Tete', 63)
, ('Tianjin', 23)
, ('Tiefa', 23)
, ('Tieli', 23)
, ('Tokat', 97)
, ('Tonghae', 86)
, ('Tongliao', 23)
, ('Torren', 60)
, ('Touliu', 92)
, ('Toulon', 34)
, ('Toulouse', 34)
, ('Trshavn', 32)
, ('Tsaotun', 92)
, ('Tsuyama', 50)
, ('Tuguegarao', 75)
, ('Tychy', 76)
, ('Udaipur', 44)
, ('Udine', 49)
, ('Ueda', 50)
, ('Uijongbu', 86)
, ('Uluberia', 44)
, ('Urawa', 50)
, ('Uruapan', 60)
, ('Usak', 97)
, ('Usolje-Sibirskoje', 80)
, ('Uttarpara-Kotrung', 44)
, ('Vaduz', 55)
, ('Valencia', 104)
, ('Valle de la Pascua', 104)
, ('Valle de Santiago', 60)
, ('Valparai', 44)
, ('Vancouver', 20)
, ('Varanasi (Benares)', 44)
, ('Vicente Lpez', 6)
, ('Vijayawada', 44)
, ('Vila Velha', 15)
, ('Vilnius', 56)
, ('Vinh', 105)
, ('Vitria de Santo Anto', 15)
, ('Warren', 103)
, ('Weifang', 23)
, ('Witten', 38)
, ('Woodridge', 8)
, ('Wroclaw', 76)
, ('Xiangfan', 23)
, ('Xiangtan', 23)
, ('Xintai', 23)
, ('Xinxiang', 23)
, ('Yamuna Nagar', 44)
, ('Yangor', 65)
, ('Yantai', 23)
, ('Yaound', 19)
, ('Yerevan', 7)
, ('Yinchuan', 23)
, ('Yingkou', 23)
, ('York', 102)
, ('Yuncheng', 23)
, ('Yuzhou', 23)
, ('Zalantun', 23)
, ('Zanzibar', 93)
, ('Zaoyang', 23)
, ('Zapopan', 60)
, ('Zaria', 69)
, ('Zeleznogorsk', 80)
, ('Zhezqazghan', 51)
, ('Zhoushan', 23)
, ('Ziguinchor', 83)
GO

Then I wrote two queries to examine the data in both ways.

-- FROM
SELECT
	*

FROM
	City AS ci INNER JOIN Country AS co
		ON ci.CountryID = co.CountryID

WHERE
	co.CountryID IN (44, 23, 103, 50, 60)
GO

-- WHERE
SELECT *
FROM City ci, Country co
WHERE ci.CountryID = co.CountryID
  AND co.CountryID IN (44, 23, 103, 50, 60)
GO

I asked an IT guy today “You write your queries in Oracle by using which manner?” and he answered me that he joins the tables in the WHERE clause. The execution plan told me there’s no difference in the execution.

As a Microsoft fan, I prefer to link the tables using the FROM clause, because I may have no need of WHERE clause :-)

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