Spatial Data

External Article

SQL Server Spatial Indexes

  • Article

Spatial Data in SQL Server has special indexing because it has to perform specialised functions. It is able, for example, to break down an indexed space into a grid hierarchy by using a technique called tessellation. This is a rules-based system that, when you compare a shape to an index, works out how many cells in the the grid hierarchy are touched by that shape , and how deep down the grid hierarchy to search. There is powerful magic in Spatial Indexes as Surenda and Roy explain.

2015-04-15

7,242 reads

External Article

Introduction to SQL Server Spatial Data

  • Article

More and more applications require the handling of geospatial data. It is easy to store spatial data, but it takes rather more thought to retrieve and manipulate it. Tasks like searching neighborhoods, and calculating distances between points is often required from databases. But how do you start? Roy and Surenda take you through the basics.

2015-04-06

9,426 reads

External Article

Standardize data storage for geography spatial data type in SQL Server

  • Article

Geography is one of the spatial data types introduced in SQL Server 2008. One of the characteristic of the geography data type is that it can accommodate any supported geometry based on any supported spatial reference system in the same field. So if the data that is stored in a column of geography data type is not standardized, it can be a very tedious and resource intensive task to figure out the geometry and spatial reference system associated with each value. To deal with this issue, we need to standardize the data stored in a field of that has the geography data type and in this tip we will look at how to deal with this issue.

2010-10-04

2,316 reads

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Question of the Day

Adding new column with DEFAULT II

Which number did the two COUNT(*) return:

DROP TABLE IF EXISTS #tmp
CREATE TABLE #tmp (id INT NOT NULL)

INSERT INTO #tmp (id) 
SELECT gs.value
  FROM GENERATE_SERIES(1, 5) AS gs

ALTER TABLE #tmp ADD my_value INT NOT NULL CONSTRAINT df_tmp_my_value DEFAULT 1

SELECT COUNT(*)  FROM #tmp AS t WHERE my_value = 1

ALTER TABLE #tmp DROP CONSTRAINT df_tmp_my_value

ALTER TABLE #tmp ADD CONSTRAINT df_tmp_my_value DEFAULT 2 FOR my_value

SELECT COUNT(*)  FROM #tmp AS t WHERE my_value = 1

See possible answers