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the case function returns only the first qualifying value, and the remainder of the case is automatically ignored. For example, the following SQL, you can never get the "second class" results The code is as follows Copy Code Case when col_1 in (' A ', ' B ') THEN ' first class 'When Col_1 in (' a ') THEN ' Class II 'Else ' other ' end Let's take a look at what we can do with the case function. First, the known data is grouped and analyzed in a diff

a different way to group, analysis.There is the following data: (in order to see more clearly, I did not use the country code, but directly with the country name as primary Key) Country (country) Population (population) China 600 United States 100 Canada 100 United Kingdom 200 France 300 Japan 250

the country name as primary Key) Country (country) Population (population) China 600 United States 100 Canada 100 United Kingdom 200 France 300 Japan 250 Germany 200 Mexico 50 India 250 According to the population data of this country, the p

' man ' when sex = ' 2 ' Then ' Women ' Else ' other ' ENDIn both of these ways, the same functionality can be achieved. The simple case function is relatively concise, but there are some limitations in function, such as write-judgement, compared to the search function.There is also a problem to be aware that the case function returns only the first qualifying value, and the remaining case section is automatically ignored.--for example, the following SQL, you can never get the result of a "seco

primary Key) Country (country) Population (population) China 600 United States 100 Canada 100 United Kingdom 200 France 300 Japan 250 Germany 200 Mexico 50 India 250 According to the population data of this country, the population of Asia and

to see more clearly, I did not use the country code, but directly with the country name as primary Key) Country (country) Population (population) China 600 United States 100 Canada 100 United Kingdom 200 France 300 Japan 250 Germany 200 Mexico 50 India

) Country (country) Population (population) China 600 United States 100 Canada 100 United Kingdom 200 France 300 Japan 250 Germany 200 Mexico 50 India 250 According to the population data of this country, the population of Asia and North America

, the known data is grouped in another way, analyzed. has the following data: (in order to see more clearly, I did not use the country code, but directly with the country name as primary Key) Country (country) Population (population) China 600 United States 100 Canada 100 United Kingdom 200 France 300 Japan

key) country) Population China 600 USA 100 Canada 100 UK 200 France 300 Japan 250 Germany 200 Mexico 50 India 250 The population of Asia and North America is counted based on the population data of this country. The following result is returned.

electronic devices Transfer Rate (%) √ √ √ First pass rate (%) √ √ √ Manufacturing cost per unit ($) √ × √ Material Inventory days × √ √ And so on... Looking at this table, Mo Miao frowned: "You can't waste any time organizing the data. You need to focus on analyzing and coping with the factory manufacturing work ." Alan thought for a while and thought it was time to a

key) country) Population China 600 USA 100 Canada 100 UK 200 France 300 Japan 250 Germany 200 Mexico 50 India 250 The population of Asia and North America is counted based on the population data of this country. The following result is returned.

Expected results: (I got a one-to-one relationship and compared it to another table) Select * From empoylee where (address1, address2) in (select address1, address2from empoyleeadresseswhere Country = 'Canada ') the preceding method cannot be used. You can also select * from (select (zcbm |', '| fwbm), which is slow) as T from t_fwzc) TT where T not in (select (zcbm | ',' | fwbm) as C from t_zc_fc_gx) solution 1: Use exists to determine select. * From

as primary Key) Country (country) Population (population) China 600 United States 100 Canada 100 United Kingdom 200 France 300 Japan 250 Germany 200 Mexico 50 India 250 According to the population data of this country, the population of Asia

directly with the country name as primary Key) Country (country) Population (population) China 600 United States 100 Canada 100 United Kingdom 200 France 300 Japan 250 Germany 200 Mexico 50 India 250 According to the population data of this c

more clearly, I did not use the country code, but directly with the country name as primary Key) Country (country) Population (population) China 600 United States 100 Canada 100 United Kingdom 200 France 300 Japan 250 Germany 200 Mexico 50 India 250

example, the following SQL, you can never get the "second class" this result The code is as follows Case is col_1 in (' A ', ' B ') then ' first Class ' When Col_1 in (' a ') then ' second class ' Else ' other ' END Let's take a look at what you can do with the case function. One, the known data in a different way to group, analysis. There is the following data: (in order to see more clearly, I did not use the country code, but directly with the country name as primary Key) Country (country) po

with the previous basis, I might be a little rough. 1. Each layer of the example of course to insert a layer, this example inserts a smiley face layer, but also inserts an implicit layer, in order to display under the place name, in this case the hidden layer content is some text graphics convenient. No way? Hidden layers are not inserted. is to insert a layer first, the floating property panel of the Vis item selected hidden can be 2. Pull up the time axis panel (CTRUL+F9), with the mouse to

country name as primary Key) Country (country) Population (population) China 600 United States 100 Canada 100 United Kingdom 200 France 300 Japan 250 Germany 200 Mexico 50 India 250 According to the population data of this country, the popu

country name as primary Key) Country (countr Y) Population (population) China 600 United States 100 Canada 100 UK 200 France 300 Japan 250 Germany 200 Mexico 50 India 250 According to the population data

country name as primary Key) Country (countr Y) Population (population) China 600 United States 100 Canada 100 UK 200 France 300 Japan 250 Germany 200 Mexico 50 India 250 According to the population data