Microsoft SQL Server supports various types of indexes. The two broadest categories are clustered and non-clustered. In our introduction, we saw that an index is primarily created using one or more columns from a designated table. This means that, when it comes to using the index, we would use the values stored in the column(s) that was (were) selected for the index. Such an index is referred to as clustered. The columns that were made part of an index are referred to as keys. To visually create a clustered index, display the Indexes/Keys dialog box. In the dialog box, when creating a new indexed or after clicking the name of an existing index, in the right list, click Create As Clustered and select Yes: Once you are ready, click Close. To create a clustered index in SQL, use the following formula: CREATE CLUSTERED INDEX IndexName ON Table/View(Column(s)) From the description we gave previously, the only new keyword here is CLUSTERED. Based on this, here is an example: -- ============================================= -- Database: Exercise -- ============================================= USE master GO
-- Drop the database if it already exists IF EXISTS(SELECT name FROM sys.databases WHERE name = N'Exercise' ) DROP DATABASE Exercise GO
CREATE DATABASE Exercise GO
USE Exercise; GO
-- ============================================= -- Database: Exercise -- Table; Employees -- ============================================= CREATE TABLE Employees ( EmployeeNumber int NOT NULL, LastName nvarchar(20) NOT NULL, FirstName nvarchar(20), Username nchar(8) NOT NULL, DateHired date NULL, HourlySalary money ); GO
INSERT INTO Employees VALUES(62480, N'James', N'Haans', N'jhaans', N'1998-10-25', 28.02), (35844, N'Gertrude', N'Monay', N'gmonay', N'2006-06-22', 14.36), (24904, N'Philomène', N'Guillon', N'pguillon', N'2001-10-16', 18.05), (48049, N'Eddie', N'Monsoon', N'emonsoon', N'08/10/2009', 26.22), (25805, N'Peter', N'Mukoko', N'pmukoko', N'03-10-2004', 22.48), (58405, N'Chritian', N'Allen', N'callen', N'06/16/1995', 16.45); GO
CREATE CLUSTERED INDEX IX_Employees ON Employees(LastName); GO A table that contains a clustered index is called a clustered table. There are various aspects to a clustered index: - To make it easy to search the records, they (the records) are sorted. This makes it possible for the database engine to proceed in a top-down approach and quickly get to the desired record
- Without this being a requirement, each record should be unique (we have already seen how to take care of this, using check constraints; later on, we will see again how to create unique records)
- There must be only one clustered index per table. This means that, if you (decide to) create a clustered index on a table, the table becomes equipped with one. If you create another clustered index, the previous one (clustered index) is deleted
While a clustered index uses a sorted list of records of a table or view, another type of index can use a mechanism not based on the sorted records but on a bookmark. This is called a non-clustered index. As opposed to a clustered table that can contain only one clustered index, you can create not only one, but as many as 249 non-clustered indexes. To visually create a non-clustered index, display the Indexes/Keys dialog box. To create a new index, click the Add button. If an index was always created or set as clustered and you want to change it, you can change its Create As Clustered property from Yes to No. To create a non-clustered index in SQL, use the following formula: CREATE NONCLUSTERED INDEX IndexName ON Table/View(Column(s)) The new keyword in this formula is NONCLUSTERED. Everything is the same as previously described. Based on this, here is an example: -- ============================================= -- Database: Exercise -- ============================================= USE master GO
-- Drop the database if it already exists IF EXISTS(SELECT name FROM sys.databases WHERE name = N'Exercise' ) DROP DATABASE Exercise GO
CREATE DATABASE Exercise GO
USE Exercise; GO
-- ============================================= -- Database: Exercise -- Table; Employees -- ============================================= CREATE TABLE Employees ( EmployeeNumber int NOT NULL, LastName nvarchar(20) NOT NULL, FirstName nvarchar(20), Username nchar(8) NOT NULL, DateHired date NULL, HourlySalary money ); GO
INSERT INTO Employees VALUES(62480, N'James', N'Haans', N'jhaans', N'1998-10-25', 28.02), (35844, N'Gertrude', N'Monay', N'gmonay', N'2006-06-22', 14.36), (24904, N'Philomène', N'Guillon', N'pguillon', N'2001-10-16', 18.05), (48049, N'Eddie', N'Monsoon', N'emonsoon', N'08/10/2009', 26.22), (25805, N'Peter', N'Mukoko', N'pmukoko', N'03-10-2004', 22.48), (58405, N'Chritian', N'Allen', N'callen', N'06/16/1995', 16.45); GO
CREATE NONCLUSTERED INDEX IX_Employees ON Employees(LastName, FirstName); GO If you create an index without specifying CLUSTERED or NONCLUSTERED, the database engine automatically makes it non-clustered.  Practical Learning: Creating a Non-Clustered Index With SQL | |
- In the CeilInn3 window, to create an index using Transact-SQL, press Ctrl + A to select the whole text type the following:
USE CeilInn3; GO
IF EXISTS(SELECT name FROM sys.indexes WHERE name = N'IX_RoomsIdentities') DROP INDEX IX_RoomsIdentities ON Rooms CREATE NONCLUSTERED INDEX IX_RoomsIdentities ON Rooms(RoomNumber, LocationCode); GO |
- Press F5 to execute
Indexes and Table Creation | |
In Lesson 15, we saw how to create a primary key on a table. Here is an example: USE Exercise; GO
CREATE TABLE Students ( StudentID int PRIMARY KEY, FirstName nvarchar(50) NOT NULL, LastName nvarchar(50)); GO When you do this, the database engine automatically creates an index on the table and chooses the primary key column as its key. You have the option of indicating the type of index you want created. To do this, on the right side of the name of the column, enter CLUSTERED orNONCLUSTERED. If you don't specify the type of index, the CLUSTERED option is applied.  Practical Learning: Creating a Clustered Tables | |
- In the CeilInn3 tab, to complete the database, Press Ctrl + A and type the following:
USE CeilInn3; GO
CREATE TABLE Customers ( CustomerID int identity(1, 1) primary key CLUSTERED NOT NULL, AccountNumber nchar(10) UNIQUE, FullName nvarchar(50) NOT NULL, PhoneNumber nvarchar(20), EmailAddress nvarchar(50), CONSTRAINT CK_CustomerContact CHECK ((PhoneNumber IS NOT NULL) OR (EmailAddress IS NOT NULL)) ); GO |
- Press F5 to execute
In our introduction, we saw that an index can make it possible to take some action during data entry, such as making sure that a column have unique values for each record or making sure that the combination of values of a group of columns on the same record produces a unique value. Besides this characteristic of indexes, they are actually very valuable when it comes to data analysis. As mentioned for a book, the primary goal of an index is to make it easy to locate the records of a table or view.  Practical Learning: Entering Data | |
- Replace the content of the CeilInn3 window with the following:
USE CeilInn3; GO
INSERT INTO Rooms(RoomNumber, LocationCode) VALUES(104, N'SLSP'); GO
INSERT INTO Rooms(RoomNumber, LocationCode, BedType, Rate, Available) VALUES(105, N'SLSP', N'King', 85.75, 1), (106, N'SLSP', N'King', 85.75, 1) GO
INSERT INTO Rooms(RoomNumber, LocationCode, Available) VALUES(107, N'SLSP', 1) GO
INSERT INTO Rooms(RoomNumber, LocationCode, BedType, Rate) VALUES(108, N'SLSP', N'King', 85.75) GO
INSERT INTO Rooms(RoomNumber, LocationCode, Available) VALUES(109, N'SLSP', 1) GO
INSERT INTO Rooms(RoomNumber, LocationCode, RoomType, Rate, Available) VALUES(110, N'SLSP', N'Conference', 450.00, 1) GO |
- Press F5 to execute
Introduction to Index Uniqueness | |
An index is made valuable in two ways. On one hand, the records should be sorted. A clustered index itself takes care of this aspect because it automatically and internally sorts its records. What if the records are not unique? For example, in a bad data entry on a list of employees, you may have two or more employees with the same employee's records. If you create an index for such a table, the database engine would create duplicate records on the index. This is usually not good because when it comes time to select records, you may have too many records and take a wrong action. When creating a table, you can create index for it and let the index apply a rule that states that each record would be unique. To take care of this, you can apply a uniqueness rule on the index. If you are visually creating an index, in the Indexes/Keys dialog box, select the index on the left side. On the right list, set the Is Unique field to Yes. On the other hand, if you want to remove this rule, set the Is Unique field to No. To create a uniqueness index in SQL, apply the UNIQUE keyword in the formula: CREATE [UNIQUE] [CLUSTERED | NONCLUSTERED] INDEX index_name ON Table/View(Column(s)) Start with the CREATE UNIQUE expression, then specify whether it would be clustered or not. The rest follows the descriptions we saw previously. Here is an example: -- ============================================= -- Database: Exercise -- ============================================= USE master GO
-- Drop the database if it already exists IF EXISTS ( SELECT name FROM sys.databases WHERE name = N'Exercise' ) DROP DATABASE Exercise GO
CREATE DATABASE Exercise GO
USE Exercise; GO
-- ============================================= -- Database: Exercise -- Table; Employees -- ============================================= CREATE TABLE Employees ( EmployeeNumber int NOT NULL, LastName nvarchar(20) NOT NULL, FirstName nvarchar(20), Username nchar(8) NOT NULL, DateHired date NULL, HourlySalary money ); GO
CREATE UNIQUE CLUSTERED INDEX IX_Employees ON Employees(EmployeeNumber); GO  Practical Learning: Using Index Uniqueness | |
- In the CeilInn3 tab, press Ctrl + F5 and type the following:
USE CeilInn3; GO
INSERT INTO Customers(AccountNumber, FullName, PhoneNumber, EmailAddress) VALUES(N'395805', N'Ann Zeke', N'301-128-3506', N'azeke@yahoo.jp'), (N'628475', N'Peter Dokta', N'(202) 050-1629', N'pdorka1900@hotmail.com'), (N'860042', N'Joan Summs', N'410-114-6820', N'jsummons@emailcity.net'), (N'228648', N'James Roberts', N'(301) 097-9374', N'jroberts13579@gmail.net') GO |
- Press F5 to execute
Unique Indexes and Data Entry | |
Once you have specified the uniqueness of an index on a table, during data entry, if the user enters a value that exists in the table already, an error would be produced. Here is an example: USE Exercise; GO INSERT INTO Employees(EmployeeNumber, FirstName, LastName, HourlySalary) VALUES(92935, N'Joan', N'Hamilton', 22.50) GO
INSERT INTO Employees(EmployeeNumber, FirstName, LastName, HourlySalary) VALUES(22940, N'Peter', N'Malley', 14.25) GO
INSERT INTO Employees(EmployeeNumber, FirstName, LastName, HourlySalary) VALUES(27495, N'Christine', N'Fink', 32.05) GO INSERT INTO Employees(EmployeeNumber, FirstName, LastName, HourlySalary) VALUES(22940, N'Gertrude', N'Monay', 15.55) GO INSERT INTO Employees(EmployeeNumber, FirstName, LastName, HourlySalary) VALUES(20285, N'Helene', N'Mukoko', 26.65) GO This would produce: (1 row(s) affected)
(1 row(s) affected)
(1 row(s) affected) Msg 2601, Level 14, State 1, Line 1 Cannot insert duplicate key row in object 'dbo.Employees' with unique index 'IX_Employees'. The statement has been terminated.
(1 row(s) affected) Table and Index Partitioning | |
Data in your database may involve many records, in thousands or millions, so much that at one time, it may become difficult to manage. One way you can deal with this is to store the records of a table in different file groups. This makes it possible to store one section of records in one file group, another section in another file group, possibly another section in another file group, and so on. As a result, when it comes time to look for one or a few records among thousands or millions of records, it would be easier to locate it or to locate them. Of course, the data still belongs to one database and to the same table.  Practical Learning: Introducing Partitioning | |
- Open a file utility, such as Windows Explorer
- Display the contents of the drives
- On the C: drive, create a folder named Real Estate Main Repository
- If you have another partition or another drive such as D:, create a folder on it and name itReal Estate Secondary Repository. Then, in the code below, replace the indicated drive of Real Estate Secondary Repository to that drive If you don't have another drive, create another folder on the C: drive and name it Real Estate Secondary Repository
- If you have one more partition or another drive such as E:, create a folder on it and name itReal Estate Third Repository. Then, in the code below, replace the indicated drive of Real Estate Third Repository to that drive If you don't have another drive, on the C: drive, create another folder Real Estate Third Repository
- Check each of those folders and notice that they are empty
- Return to Microsoft SQL Server Management Studio
- To open a new Query window, on the Standard toolbar, click the New Query button
 - To create a database and the accompanying file groups, type the following:
USE master; GO
CREATE DATABASE RealEstate3 ON PRIMARY ( NAME = N'RealEstatePrimary', FILENAME = N'C:\Real Estate Main Repository\RealEstateMain.mdf', SIZE = 4MB, MAXSIZE = 10MB, FILEGROWTH = 1MB), FILEGROUP RealEstateGroupRecords1 ( NAME = N'RealEstateRecords1', FILENAME = N'C:\Real Estate Main Repository\RealEstateFirst.ndf', SIZE = 1MB, MAXSIZE = 10MB, FILEGROWTH = 1MB), FILEGROUP RealEstateGroupRecords2 ( NAME = N'RealEstateRecords2', FILENAME = N'C:\Real Estate Secondary Repository\RealEstateSecond.ndf', SIZE = 1MB, MAXSIZE = 10MB, FILEGROWTH = 1MB), FILEGROUP RealEstateGroupRecords3 ( NAME = N'RealEstateRecords3', FILENAME = N'C:\Real Estate Third Repository\RealEstateThird.ndf', SIZE = 1MB, MAXSIZE = 10MB, FILEGROWTH = 1MB) LOG ON ( NAME = N'RealEstate3Log', FILENAME = N'C:\Real Estate Main Repository\RealEstateLogger.ldf', SIZE = 1MB, MAXSIZE = 10MB, FILEGROWTH = 1MB); GO |
- Press F5 to execute
- Return to the file utilities such as Windows Explorer and check the content of each of the previously created folders. Also check their sizes
- Return to Microsoft SQL Server Management Studio
Before partitioning a table, you must create the necessary file groups. This can be done when creating the database since it is at that time that you specify how the database will be stored; that is, what files will hold the information of the database. After creating the database and creating its file groups. Before partitioning a table, you must create a partition function and a partition scheme. A partition function is used to define the ranges of records that will be stored in what file group. The SQL formula to create a partition function is: CREATE PARTITION FUNCTION PartitionFunctionName ( ParameterType ) AS RANGE [ LEFT | RIGHT ] FOR VALUES (StartRange1, StartRange2, StartRange_n) To use from a template, open a Query window. In the Templates Explorer, expand the Partition Function node. Drag Create Partition Function and drop it in the Query window. Skeleton code will be generated for you: -- ===================================== -- Create Partition Function template -- ===================================== USE <database_name, sysname, AdventureWorks> GO
CREATE PARTITION FUNCTION <partition_function_name, sysname, myRangePF> ( <data_type_name, sysname, int> ) AS RANGE LEFT FOR VALUES (<data_value1,,1>, <data_value2,,100>, <data_value3,,1000>);
-- Partition function on a partitioning column col1 would be partitioned as follows: -- Partition 1: col1 less than or equal to <data_value1,,1> -- Partition 2: col1 greater than <data_value1,,1> AND col1 less than or equal to <data_value2,,100> -- Partition 3: col1 greater than <data_value2,,100> AND col1 less than or equal to <data_value3,,1000> -- Partition 4: col1 greater than <data_value3,,1000> The creation of a partition function starts with the CREATE PARTITION FUNCTION expression followed by a name. The name follows the rules for names in Microsoft SQL Server. Because you are creating a function, the name is followed by parentheses. In the parentheses of the function, you must specify the data type of the column that will be used to create a range of records. The values of that column will be used to distinguish ranges of records. This means that the values of this column must allow the database engine to predict a range of records. This is called the partitioning column. For example, you can use a column that has an incremental count of values. This is the case for an identity primary key column. As another example, you can use a column that holds a category of values, such as female customers vs male and child customers. As one more example, you can use a column that holds dates so that you can isolate ranges of records from one date to another. After closing the parenthesis, type AS RANGE, which indicates that you are going to specify the ranges of values. This is followed by either LEFT or RIGHT. When the partition function will have been created and when the table itself will have been created, when the database engine is asked to look for a record or a range of records, it may have to sort the records. If you want it to sort the records from left to right, use the LEFT keyword. If you want the records sorted from right to left, use the RIGHT keyword. The AS RANGE LEFT or AS RANGE RIGHT expression is followed by FOR VALUES that is followed by parentheses. When creating a partition function, you must provide a way for the database engine to get a range of records. For example, you can use records from number 1 to number 1000, then another range from 1001 to 5000, and so on. Or you can specify that a range of records would go from February 11th, 2000 to June 26th, 2005. Then another range would go from June 26th 2005 to December 14th, 2006, and so on. You specify the range in the parentheses that follow the FOR VALUES expression. Type the first value of the first range, followed by a comma, followed by the first value of the second range, and so on.  Practical Learning: Creating a Partition Function | |
- Select the whole contents of the Query window and type the following:
USE RealEstate3; GO
CREATE PARTITION FUNCTION RealEstateSegmentation(int) AS RANGE LEFT FOR VALUES(1, 10); GO |
- Press F5 to execute
A partition scheme specifies the names of the file groups, in their order that will store the ranges of records that were created in the partition function. The formula to create a partition scheme is: CREATE PARTITION SCHEME PartitionSchemeName AS PARTITION PartitionFunctionName [ ALL ] TO ( { file_group_name | [ PRIMARY ] } [ ,...n ] ) You start with the CREATION PARTITION SCHEME expression do indication your intention. This is followed by a name. The name follows the rules of objects. After the name of the partition scheme, type AS PARTITION followed by the name of the partition function you should have previously created. If you are planning to use only one file group, after the name of the partition function, enter ALL, followed by parentheses, in which you will type PRIMARY. If you are planning to use different file groups, after the name of the partition function, enter TO, followed by parentheses. We saw that, in the parentheses of the FOR VALUES of the partition function, you entered the starting value of the first range. In the parentheses of the TO keyword, type the name of the file group that will hold the records of the first range of the partition function. We also saw how to specify the second range in the partition function. In the parentheses of the TO clause, after the name of the first file group, type a comma followed by the name of the file group that will hold the records of the second range.  Practical Learning: Creating a Partition Function Scheme | |
- Select the whole contents of the Query window and type the following:
USE RealEstate3; GO
CREATE PARTITION SCHEME RealEstateDistributionScheme AS PARTITION RealEstateSegmentation TO (RealEstateGroupRecords1, RealEstateGroupRecords2, RealEstateGroupRecords3); GO |
- On the SQL Editor toolbar, click the Execute button
After creating the partition scheme, you can create the table. The formula to specify a partition scheme when creating a table is: CREATE TABLE What We Have Learned So Far ( What We Have Learned So Far ) ON PartitionSchemeName(ColumnName) You start with the CREATE TABLE expression, followed by things we have learned so far: an optional schema and a required name. After the name of the table, you open and close the parentheses, in which you include other things we have seen so far: the columns, the constraints, and their options. Outside the parentheses, type the ON keyword, followed by the name of the partition scheme you will have created, followed by an opening and a closing parentheses. Inside the parentheses of the schema name, enter the name of the table's column that is the partitioning column. After creating the table, you can use it, like any normal table.  Practical Learning: Partitioning a Table | |
- Select the whole contents of the Query window and type the following:
-- ============================================= -- Author: FunctionX -- Database: RealEstate3 -- Date Created: Tuesday July 28th, 2009 -- =============================================
CREATE DATABASE RealEstate3; GO
-- ============================================= -- Author: FunctionX -- Database: RealEstate3 -- Table: PropertyTypes -- Date Created: Tuesday July 28th, 2009 -- ============================================= USE RealEstate3; GO CREATE TABLE PropertyTypes ( PropertyTypeID int identity(1,1) NOT NULL, PropertyType varchar(20), CONSTRAINT PK_PropertyTypes PRIMARY KEY(PropertyTypeID) ) ON RealEstateDistributionScheme(PropertyTypeID); GO INSERT INTO PropertyTypes(PropertyType) VALUES(N'Condominium'); GO INSERT INTO PropertyTypes(PropertyType) VALUES(N'Single Family'); GO INSERT INTO PropertyTypes(PropertyType) VALUES(N'Townhouse'); GO INSERT INTO PropertyTypes(PropertyType) VALUES(N'Unknown'); GO
-- ============================================= -- Author: FunctionX -- Database: RealEstate3 -- Table: Conditions -- Date Created: Tuesday July 28th, 2009 -- ============================================= USE RealEstate3; GO CREATE TABLE Conditions ( ConditionID int identity(1,1) NOT NULL, Condition varchar(20), CONSTRAINT PK_Conditions PRIMARY KEY(ConditionID) ) ON RealEstateDistributionScheme(ConditionID); GO INSERT INTO Conditions(Condition) VALUES(N'Excellent'); GO INSERT INTO Conditions(Condition) VALUES(N'Good'); GO INSERT INTO Conditions(Condition) VALUES(N'Bad Shape'); GO INSERT INTO Conditions(Condition) VALUES(N'Mostly Damaged'); GO
-- ============================================= -- Author: FunctionX -- Database: RealEstate3 -- Table: Properties -- ============================================= CREATE TABLE Properties ( PropertyID int identity(1,1) NOT NULL, PropertyNumber char(6), Address varchar(100), City varchar(50), State char(2), ZIPCode varchar(12), PropertyTypeID int CONSTRAINT FK_PropertyTypes FOREIGN KEY REFERENCES PropertyTypes(PropertyTypeID), ConditionID int CONSTRAINT FK_Conditions FOREIGN KEY REFERENCES Conditions(ConditionID), Bedrooms smallint, Bathrooms float, FinishedBasement bit, IndoorGarage bit, Stories smallint, YearBuilt smallint, MarketValue money, CONSTRAINT PK_Properties PRIMARY KEY(PropertyID) ) ON RealEstateDistributionScheme(PropertyID); GO
INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, FinishedBasement, IndoorGarage, Stories, YearBuilt, MarketValue) VALUES(N'524880', N'1640 Lombardo Ave', N'Silver Spring', N'MD', N'20904', 2, 2, 4, 2.5, 3, 1, 3, 1995, 495880.00); GO INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, FinishedBasement, IndoorGarage, Stories, YearBuilt, MarketValue) VALUES(N'688364', N'10315 North Hacht Rd', N'College Park', N'MD', N'20747', 2, 1, 4, 3.5, 3, 1, 2, 2000, 620724.00); GO INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, FinishedBasement, Stories, MarketValue) VALUES(N'611464', N'6366 Lolita Drive', N'Laurel', N'MD', N'20707', 2, 2, 1, 2, 422625.00); GO INSERT INTO Properties(Address, City, PropertyTypeID, Bedrooms, MarketValue) VALUES(N'9002 Palasko Hwy', N'Tysons Corner', 1, 2, 422895.00); GO INSERT INTO Properties(PropertyNumber, State, ZIPCode, Bedrooms, YearBuilt, MarketValue) VALUES(N'420115', N'DC', N'20011', 2, 1982, 312555); GO INSERT INTO Properties(PropertyNumber, City, ZIPCode, PropertyTypeID, Bedrooms, YearBuilt, MarketValue) VALUES(N'917203', N'Alexandria', N'22024', 2, 3, 1965, 345660.00); GO INSERT INTO Properties(PropertyNumber, Address, City, State, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, MarketValue) VALUES(N'200417', N'4140 Holisto Crt', N'Germantown', N'MD', 1, 1, 2, 1, 215495.00); GO INSERT INTO Properties(City, State, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, YearBuilt, MarketValue) VALUES(N'Rockville', N'MD', 1, 2, 2, 2, 1996, 436885.00); GO INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, FinishedBasement, IndoorGarage, Stories, YearBuilt, MarketValue) VALUES(N'927474', N'9522 Lockwood Rd', N'Chevy Chase', N'MD', N'20852', 3, 3, 3, 2.5, 3, 0, 3, 1992, 415665.00); GO INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, FinishedBasement, IndoorGarage, Stories, YearBuilt, MarketValue) VALUES(N'207850', N'14250 Parkdoll Rd', N'Rockville', N'MD', N'20854', 3, 2, 3, 2.5, 2, 1, 2, 1988, 325995.00); GO INSERT INTO Properties(City, PropertyTypeID, Bedrooms, YearBuilt, MarketValue) VALUES(N'Washington', 3, 4, 1975, 366775.00); GO INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, YearBuilt, MarketValue) VALUES(N'288540', N'10340 Helmes Street #408', N'Silver Spring', N'MD', N'20906', 1, 2, 1, 1, 2000, 242775.00); GO INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, FinishedBasement, IndoorGarage, Stories, YearBuilt, MarketValue) VALUES(N'247472', N'1008 Coppen Street', N'Silver Spring', N'MD', N'20906', 2, 1, 3, 3, 3, 1, 3, 1996, 625450.00); GO INSERT INTO Properties(City, ZIPCode, PropertyTypeID, Stories, YearBuilt, MarketValue) VALUES(N'Chevy Chase', N'20956', 2, 3, 2001, 525450.00); GO INSERT INTO Properties(Address, City, State, PropertyTypeID, ConditionID, Bedrooms, MarketValue) VALUES(N'686 Herod Ave #D04', N'Takoma Park', N'MD', 1, 1, 2, 360885.00); GO INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, FinishedBasement, IndoorGarage, Stories, YearBuilt, MarketValue) VALUES(N'297446', N'14005 Sniders Blvd', N'Laurel', N'MD', N'20707', 3, 4, 4, 1.5, 3, 1, 2, 2002, 412885.00); GO INSERT INTO Properties(City, ZIPCode, ConditionID, Bedrooms, Stories, YearBuilt) VALUES(N'Silver Spring', N'20905', 2, 4, 2, 1965); GO INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, FinishedBasement, IndoorGarage, Stories, YearBuilt, MarketValue) VALUES(N'924792', N'680 Prushia Rd', N'Washington', N'DC', N'20008', 2, 2, 5, 3.5, 3, 0, 3, 2000, 555885.00); GO INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, FinishedBasement, IndoorGarage, Stories, YearBuilt, MarketValue) VALUES(N'294796', N'14688 Parrison Street', N'College Park', N'MD', N'20742', 2, 1, 5, 2.5, 2, 1, 2, 1995, 485995.00); GO INSERT INTO Properties(City, State, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, YearBuilt, MarketValue) VALUES(N'Rockville', N'MD', 1, 2, 1, 1, 1996, 418885.00); GO INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, YearBuilt, MarketValue) VALUES(N'811155', N'10340 Helmes Street #1012', N'Silver Spring', 'MD', N'20906', 1, 2, 1, 1, 2000, 252775.00); GO INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, FinishedBasement, IndoorGarage, Stories, YearBuilt, MarketValue) VALUES(N'447597', N'4201 Vilamar Ave', N'Hyattsville', N'MD', N'20782', 3, 1, 3, 2, 2, 1, 3, 1992, 365880.00); GO INSERT INTO Properties(Address, ZIPCode, Bathrooms) VALUES(N'1622 Rombard Str', 20904, 2.5); GO INSERT INTO Properties(City, State, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, YearBuilt, MarketValue) VALUES(N'Rockville', N'MD', 1, 2, 1, 1, 1996, 420555.00); GO INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, FinishedBasement, IndoorGarage, Stories, YearBuilt, MarketValue) VALUES(N'297415', N'980 Phorwick Street', N'Washington', N'DC', N'20004', 2, 2, 4, 3.5, 3, 3, 1, 2004, 735475.00); GO INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, FinishedBasement, IndoorGarage, Stories, YearBuilt, MarketValue) VALUES(N'475974', N'9015 Marvin Crow Ave', N'Gaithersburg', N'MD', N'20872', 2, 4, 4, 2.5, 3, 1, 1, 1965, 615775.00); GO INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, FinishedBasement, IndoorGarage, Stories, YearBuilt, MarketValue) VALUES(N'836642', N'3016 Feldman Court', N'Rockville', N'MD', N'20954', 2, 3, 5, 3, 3, 1, 3, 1960, 528555.00); GO INSERT INTO Properties(Address, City, ZIPCode, PropertyTypeID, Bedrooms, Bathrooms, YearBuilt, MarketValue) VALUES(N'2444 Arielson Rd', N'Rockville', N'20854', 1, 2, 1, 1996, 475555.00); GO
INSERT INTO Properties(City, State, PropertyTypeID, Stories) VALUES(N'Rockville', N'MD', 3, 1); GO INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, FinishedBasement, IndoorGarage, Stories, YearBuilt, MarketValue) VALUES(N'208304', N'7307 Everett Hwy', N'Washington', N'DC', N'20012', 3, 1, 2, 2.5, 2, 0, 4, 2006, 420550.00); GO INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, YearBuilt, MarketValue) VALUES(N'644114', N'10340 Helmes Street#1006', N'Silver Spring', 'MD', N'20906', 1, 2, 2, 2, 2000, 258445.00); GO INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, FinishedBasement, IndoorGarage, Stories, YearBuilt, MarketValue) VALUES(N'937966', N'7303 Warfield Court', N'Tysons Corner', N'VA', '22131', 2, 2, 3, 2.5, 3, 1, 4, 2006, 825775.00); GO INSERT INTO Properties(City, ZIPCode, ConditionID, Bedrooms, Stories, YearBuilt) VALUES(N'Fairfax', N'22232', 2, 3, 3, 1985); GO INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, FinishedBasement, IndoorGarage, Stories, YearBuilt, MarketValue) VALUES(N'297497', N'12401 Conniard Ave', N'Takoma Park', N'MD', N'20910', 3, 2, 3, 2.5, 3, 1, 3, 2004, 280775.00); GO INSERT INTO Properties(PropertyNumber, City, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, YearBuilt, Stories, MarketValue) VALUES(N'855255', N'Laurel', N'20707', 2, 4, 3, 2, 1962, 2, 342805.00); GO INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, FinishedBasement, IndoorGarage, Stories, YearBuilt, MarketValue) VALUES(N'469750', N'6124 Falk Rd', N'Arlington', N'VA', '22031', 2, 4, 4, 3.5, 3, 1, 1, 1982, 635995.00); GO INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, FinishedBasement, IndoorGarage, Stories, YearBuilt, MarketValue) VALUES(N'826927', N'5121 Riehl Ace', N'Fairfax', N'VA', '22232', 3, 1, 3, 1.5, 2, 0, 1, 2002, 325620.00); GO INSERT INTO Properties(City, ZIPCode, PropertyTypeID, Bedrooms, Bathrooms, MarketValue) VALUES(N'Silver Spring', N'20906', 1, 2, 2, 335655.00); GO
INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, FinishedBasement, IndoorGarage, Stories, YearBuilt, MarketValue) VALUES(N'287064 ', N'9533 Pensulian Rd', N'Silver Spring', N'MD', N'20904', 2, 3, 3, 1.5, 3, 1, 2, 1992, 485775.00); GO INSERT INTO Properties(PropertyNumber, City, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, YearBuilt, Stories) VALUES(N'724001 ', N'705 Helios Ave', N'20004', 3, 3, 3, 1974, 4); GO INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, FinishedBasement, IndoorGarage, Stories, YearBuilt, MarketValue) VALUES(N'209275', N'944 Fryer Ave', N'Chevy Chase', N'MD', N'20852', 2, 1, 5, 2.5, 3, 0, 2, 2002, 625665.00); GO INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, FinishedBasement, IndoorGarage, Stories, YearBuilt, MarketValue) VALUES(N'204759', N'1950 Galego Street', N'Germantown', N'MD', N'20874', 2, 1, 4, 3.5, 2, 1, 4, 2007, 428665.00); GO INSERT INTO Properties(PropertyNumber, Address, City, State, ZIPCode, PropertyTypeID, ConditionID, Bedrooms, Bathrooms, FinishedBasement, IndoorGarage, Stories, YearBuilt, MarketValue) VALUES(N'937259', N'12366 Fowler Ave', N'Alexandria', N'VA', '22031', 3, 2, 3, 1.5, 3, 1, 3, 2007, 402815.00); GO |
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