Sql locator

This chapter describes how to manage spatial (location-based) data, using the Oracle Locator feature of Oracle Database Express Edition (Oracle Database XE). It develops an extended example that shows the major steps required to store and use spatial data, and it includes some common queries.It assumes that you are familiar with the main concepts and techniques described in Oracle Database Express Edition 2 Day Developer Guide, and especially that you know how to create SQL scripts and how to use SQL*Plus to run SQL scripts.Note:You cannot use the Express Edition SQL Commands or SQL Scripts features to run a SQL script or enter a SQL statement that creates or requires a spatial index. You must instead use SQL*Plus, such as by selecting Run SQL Command Line from the Express Edition menus, and connect as a database user that has the Create Table privilege.This chapter includes the following major sections:"Overview of Spatial Data""Scenario for Using Spatial Data""Using the SDO_GEOMETRY Object Type""Loading Customer and Store Information, Including Locations""Updating the Spatial Metadata""Creating Spatial Indexes""Querying Spatial Data""Running the Scenario Script""Using Non-Point Geometry Types"See Also:Oracle Spatial User's Guide and Reference for conceptual, usage, and reference information about Oracle Locator.Overview of Spatial DataSpatial data represents the essential location characteristics (typically longitude and latitude coordinates) of objects, which are also referred to as geometry objects and which include geometry types such as points, lines, and polygons. The location characteristics are stored using a special data type, SDO_GEOMETRY. Once spatial data is stored in an Oracle database, it can be easily manipulated, retrieved, and related to all other data stored in the database.Oracle Locator, a feature of all editions of Oracle Database 10g, provides an integrated set of functions and procedures to efficiently store, manage, query. and analyze spatial data in an Oracle database, using standard SQL. Oracle Locator is a subset of Oracle Spatial, which is included in Oracle Database Enterprise Edition, and which adds high-end spatial functionality, including functions such as buffer generation, spatial aggregates, area calculations, and more; linear referencing; coordinate systems transformations; geocoding; a routing engine; topology and network data models; and support for georeferenced raster (GeoRaster) data.See Also:The Oracle Locator appendix in Oracle Spatial User's Guide and Reference for detailed information about which Oracle Spatial features are and are not supported for Oracle Locator.Scenario for Using Spatial DataConsider the following business scenario. A company has several major retail stores. It needs to locate its customers who are near a given store, to inform them of new advertising promotions. To locate its customers and perform location-based analysis, the company must store location data for both its customers and stores.The CUSTOMERS table has the following definition. (An actual customers table would have more information, but

Skip to main content This browser is no longer supported. Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support. Clustered and nonclustered indexes Article11/22/2024 In this article -->Applies to: SQL Server Azure SQL Database Azure SQL Managed Instance SQL database in Microsoft FabricAn index is an on-disk structure associated with a table or view that speeds retrieval of rows from the table or view. An index contains keys built from one or more columns in the table or view. These keys are stored in a structure (B-tree) that enables SQL Server to find the row or rows associated with the key values quickly and efficiently.NoteDocumentation uses the term B-tree generally in reference to indexes. In rowstore indexes, the Database Engine implements a B+ tree. This does not apply to columnstore indexes or indexes on memory-optimized tables. For more information, see the SQL Server and Azure SQL index architecture and design guide.A table or view can contain the following types of indexes:ClusteredClustered indexes sort and store the data rows in the table or view based on their key values. These key values are the columns included in the index definition. There can be only one clustered index per table, because the data rows themselves can be stored in only one order.The only time the data rows in a table are stored in sorted order is when the table contains a clustered index. When a table has a clustered index, the table is called a clustered table. If a table has no clustered index, its data rows are stored in an unordered structure called a heap.NonclusteredNonclustered indexes have a structure separate from the data rows. A nonclustered index contains the nonclustered index key values and each key value entry has a pointer to the data row that contains the key value.The pointer from an index row in a nonclustered index to a data row is called a row locator. The structure of the row locator depends on whether the data pages are stored in a heap or a clustered table. For a heap, a row locator is a pointer to the row. For a clustered table, the row locator is the clustered index key.You can add nonkey columns to the leaf level of the nonclustered index to bypass existing index key limits, and execute fully covered queries. For more information, see Create indexes with included columns. For details about index key limits, see Maximum capacity specifications for SQL Server.Both clustered and nonclustered indexes can be unique. With a unique index, no two rows can have the same value for the index key. Otherwise, the index isn't unique and multiple rows can share the same key value. For more information, see Create unique indexes.Indexes are automatically maintained for a table or view whenever the table data is modified.See Indexes for more types of special purpose indexes.Indexes and constraintsSQL Server automatically creates indexes when PRIMARY KEY and UNIQUE constraints are defined on table columns. For example, when

Item5. In Material Workbench window:Expand the tree on the left pane until the locator node and select this nodeClick AvailabilitySee the on hand quantity is greater than zero in "On Hand" fieldSee "Cost Group" field is populated and it is not "Cost Group 1"Then you may conduct a data analysis for instance as below:6. Launch the Item diagnostic for the related item and organization. Refer to Review the output file, go to section "Item Onhand Quantity".If there is no records for the problematic locator, then the 'cost group comingle' error is unexpected.Alternatively if any record(s) got retrieved for this locator, then run the below SQL query:** When prompted enter the values / IDs shown in the Item diagnostic output. And for "X_cost_group_2_name", enter the Cost Group Name shown in Material Workbench Availability window.If the above query does not retrieve any rows then the Material Workbench Availability window is showing unexpected on hand quantity and again the 'cost group comingle' error is unexpected.ChangesCause To view full details, sign in with your My Oracle Support account. Don't have a My Oracle Support account? Click to get started! In this Document My Oracle Support provides customers with access to over a million knowledge articles and a vibrant support community of peers and Oracle experts.

Q. What is the MCTS: 70-432 exam?A. Microsoft’s MCTS: SQL Server 2008 (Microsoft Certified Technology Specialist: SQL Server) certification is one of the most recent certifications offered by Microsoft. The Microsoft MCTS: SQL Server certification has been designed for professionals who have an in-depth knowledge in implementing and maintaining SQL Server 2008. These professionals have a thorough knowledge of using T-SQL statements, carrying out everyday maintenance task, and troubleshooting of errors using the SQL Server 2008. The Microsoft Certified Technology Specialist (MCTS) on SQL Server 2008 is appropriate for professionals working or want to work in a typically complex computing environment of medium-to-large organizations.Q. What are the prerequisites for the 70-432 exam? A. There are no specific prerequisites for the 70-432 exam. It is recommended that a candidate should have knowledge of using database tools, wizards, writing and debugging SQL statements.Q. I am new to SQL Server. How should I start preparing for the exam? A. To start preparing for the exam, you need to have SQL Server 2008 Enterprise Edition. You should have Internet Explorer 6 Service Pack 1 and Internet Information Services.Q. What is the exam fee? A. The exam fee for 70-432 is approximately USD 150. The fees for the exam in other countries can be viewed on the Prometric site. The fee is to be paid at the time of registration through credit card, check, or voucher. After the payment has been made, a candidate can schedule his exam date and time.Q. How can I register for my exam? A. You can register for the exam through a Prometric Test Center Locator at Prometric. You will have to go through a complete registration process, make payments and schedule the date and time for the exam.Q. What types of questions are asked in the exam? A. There

Be moved with OCIDirPath, the Data Pump continues to use INSERT AS SELECT. If a table has both a LONG column and one of the data types that OCIDirPath cannot move, then network import cannot move that table. This support also makes network import available to more users. Metadata Transforms Available for Oracle Data Pump in New Views This feature adds views to Oracle Database that provide information about what metadata transforms are available for different modes of Oracle Data Pump and for the metadata API. Currently, transforms are documented with Oracle Data Pump and the metadata API, but DBAs prefer to query the database to get that information. This feature ensures that documentation for a feature is maintained as part of creating a transform, and that this information is available using interfaces such as SQL*Plus. Adding Oracle Data Pump and SQL*Loader Utilities to Instant Client This feature adds SQL*Loader, expdp, impdp, exp, and imp to the tools for instant client. Now you can run these utilities on machines that do not have a complete Oracle Database installation. SDF_PREFIX Parameter for SQL*Loader This feature provides a new parameter SDF_PREFIX to the SQL*Loader command line. The value of this parameter is appended to the names of LOBFILES and secondary data files used in the load. This enables you to create a data file that you can use on any system without hard coding the complete file specification in a data file. Instead, the file names that are in the data file can all be relative to the path specified in the SDF_PREFIX parameter. You can also specify this parameter in the OPTIONS clause inside the SQL*Loader control file. This feature simplifies the distribution of data files that can be loaded from different directory paths on different machines. Allowing Multi-Byte Strings for SQL*Loader Parameters Used for Express Mode Currently, the ENCLOSED_BY, OPTIONALLY_ENCLOSED_BY, and TERMINATED_BY command line parameters for SQL*Loader only accept a single character as a value. This feature changes these parameters to accept strings as a value. This feature gives you more flexibility in the types of files that you can load without creating a SQL*Loader control file. Database Migrations: Support LLS Files Generated by DB2 Export Utility The DB2 export utility unloads table data into text files with the option to unload LOB data, either character or binary, into a separate file. When LOB data is unloaded into a separate file, DB2 writes a Lob Locator Specifier (LLS) into the data file. The LLS contains the file name, offset and length of the LOB data in the data file. This feature adds a clause for SQL*Loader control file and ORACLE_LOADER access parameters to enable you to indicate that a field

The definition is simplified for this scenario.)CREATE TABLE customers ( customer_id NUMBER, last_name VARCHAR2(30), first_name VARCHAR2(30), street_address VARCHAR2(40), city VARCHAR2(30), state_province_code VARCHAR2(2), postal_code VARCHAR2(9), cust_geo_location SDO_GEOMETRY);The STORES table has the following definition:CREATE TABLE stores ( store_id NUMBER, description VARCHAR2(100), street_address VARCHAR2(40), city VARCHAR2(30), state_province_code VARCHAR2(2), postal_code VARCHAR2(9), store_geo_location SDO_GEOMETRY);Each table contains a column (cust_geo_location and store_geo_location) of the Oracle Spatial and Locator data type, SDO_GEOMETRY (described in "Using the SDO_GEOMETRY Object Type"). In these tables, the SDO_GEOMETRY columns hold the geocoded location of each customer's residence and each store. These geocoded locations are stored as two-dimensional points, whose coordinates are the longitude and latitude values associated with the location. For example, longitude-latitude value pair of (-63.136, 52.4854) indicates the point at 63.136 degrees longitude west of the Greenwich prime meridian and 52.4854 degrees latitude north of the Equator.Note:Oracle Locator does not provide support for geocoding, that is, creating point geometry objects from specified address data. Oracle Spatial does support geocoding, using the SDO_GCDR package. However, if you already have the longitude and latitude points associated with your desired locations, you can use Oracle Locator to store and use the spatial data.If you want, you can use the following statements in Example 1-1 to perform the operations in all examples associated with this customers and stores scenario. Many examples in the remaining sections use excerpts from these statements.Example 1-1 SQL Script for Customers and Stores Scenario-- Clean up from any previous running of this procedure. DROP TABLE customers;DROP TABLE stores;DROP INDEX customers_sidx;DROP INDEX stores_sidx;DELETE FROM USER_SDO_GEOM_METADATA WHERE TABLE_NAME = 'CUSTOMERS' AND COLUMN_NAME = 'CUST_GEO_LOCATION';DELETE FROM USER_SDO_GEOM_METADATA WHERE TABLE_NAME = 'STORES' AND COLUMN_NAME = 'STORE_GEO_LOCATION'; -- Create table for customer information. CREATE TABLE customers ( customer_id NUMBER, last_name VARCHAR2(30), first_name VARCHAR2(30), street_address VARCHAR2(40), city VARCHAR2(30), state_province_code VARCHAR2(2), postal_code VARCHAR2(9), cust_geo_location SDO_GEOMETRY); -- Create table for store information. CREATE TABLE stores ( store_id NUMBER, description VARCHAR2(100), street_address VARCHAR2(40), city VARCHAR2(30), state_province_code VARCHAR2(2), postal_code VARCHAR2(9), store_geo_location SDO_GEOMETRY); -- Insert customer data. INSERT INTO customers VALUES (1001,'Nichols', 'Alexandra', '17 Maple Drive', 'Nashua', 'NH','03062', SDO_GEOMETRY(2001, 8307, SDO_POINT_TYPE (-71.48923,42.72347,NULL), NULL, NULL)); INSERT INTO customers VALUES (1002,'Harris', 'Melvin', '5543 Harrison Blvd', 'Reston', 'VA', '20190', SDO_GEOMETRY(2001, 8307, SDO_POINT_TYPE(-70.120133,44.795766,NULL), NULL, NULL)); INSERT INTO customers VALUES (1003,'Chang', 'Marian', '294 Main St', 'Concord', 'MA','01742', SDO_GEOMETRY(2001, 8307, SDO_POINT_TYPE (-71.351,42.4598,NULL), NULL, NULL)); INSERT INTO customers VALUES (1004,'Williams', 'Thomas', '84 Hayward Rd', 'Acton', 'MA','01720', SDO_GEOMETRY(2001, 8307, SDO_POINT_TYPE (-71.4559,42.4748,NULL), NULL, NULL)); INSERT INTO customers VALUES (1005,'Rodriguez', 'Carla', '9876 Pine Lane', 'Sudbury', 'MA','01776', SDO_GEOMETRY(2001, 8307, SDO_POINT_TYPE (-71.4242,42.3826,NULL), NULL, NULL)); INSERT INTO customers VALUES (1006,'Adnani', 'Ramesh', '1357 Appletree Ct', 'Falls Church', 'VA','22042 ', SDO_GEOMETRY(2001, 8307, SDO_POINT_TYPE (-77.1745,38.88505,NULL),NULL,NULL)); -- Insert stores data. INSERT INTO stores VALUES (101,'Nashua megastore', '123 Commercial Way', 'Nashua', 'NH','03062', SDO_GEOMETRY(2001, 8307, SDO_POINT_TYPE (-71.49074,42.7229,NULL),NULL,NULL)); INSERT INTO