All language subtitles for 10. Logical Operators

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These are the user uploaded subtitles that are being translated: 1 00:00:01,730 --> 00:00:06,560 In the last video, we learned how to apply one condition while retrieving data. 2 00:00:07,840 --> 00:00:12,310 Let us now look at how to retrieve data, which is satisfying multiple conditions. 3 00:00:13,050 --> 00:00:18,480 Multiple conditions can be applied using the and and or operators. 4 00:00:19,800 --> 00:00:25,200 And operators used when we want that, all of the conditions are satisfied. 5 00:00:26,610 --> 00:00:31,890 Whereas our operator will be used when we want to retrieve the data with any one of the conditions. 6 00:00:31,890 --> 00:00:32,610 Satisfied. 7 00:00:34,540 --> 00:00:35,920 Let us look at this syntax. 8 00:00:37,080 --> 00:00:42,780 We select columns from table name where this will be the condition one. 9 00:00:43,470 --> 00:00:47,520 After this, if you want to have an and operator, we will write. 10 00:00:47,520 --> 00:00:52,830 And if you want all operator, we will write all and then we will specify the second condition. 11 00:00:53,800 --> 00:00:55,270 We can continue doing so. 12 00:00:55,480 --> 00:00:57,550 We can have a number of conditions. 13 00:00:59,230 --> 00:01:00,460 Let us look at an example. 14 00:01:02,210 --> 00:01:04,460 If you want to get the customers. 15 00:01:05,230 --> 00:01:09,010 Who's age is between 20 and 30 years. 16 00:01:10,380 --> 00:01:12,810 We can do this by using the and operator. 17 00:01:12,900 --> 00:01:19,890 So these customers will be satisfying the condition that their age is more than 20 years and the age 18 00:01:19,890 --> 00:01:21,150 is less than 30 years. 19 00:01:23,390 --> 00:01:29,060 So we will select first name, last name and age of the customer from customer table, where age is 20 00:01:29,060 --> 00:01:32,720 greater than 20 and age is less than 30. 21 00:01:33,380 --> 00:01:35,600 Let us go and write this in PG admin. 22 00:01:40,220 --> 00:01:41,870 Select first name. 23 00:01:48,040 --> 00:01:49,030 Last name. 24 00:01:50,720 --> 00:01:51,260 From. 25 00:01:53,370 --> 00:01:55,650 Let's add age also. 26 00:02:01,660 --> 00:02:02,530 Customer table. 27 00:02:03,220 --> 00:02:03,850 Where? 28 00:02:07,800 --> 00:02:12,450 It is greater than 20 and it is less than. 29 00:02:13,690 --> 00:02:14,170 30. 30 00:02:17,460 --> 00:02:18,600 And that's when this query. 31 00:02:20,900 --> 00:02:23,870 You can see five records are retrieved. 32 00:02:24,320 --> 00:02:29,690 And age of all these five customers is between 20 and 30. 33 00:02:31,570 --> 00:02:40,210 Now, if we want all the other customers, that is customer whose age is less than 20 or more than 30, 34 00:02:40,780 --> 00:02:42,640 we will be using the auto operator. 35 00:02:42,670 --> 00:02:43,750 Let us write that. 36 00:02:47,830 --> 00:02:48,370 Select. 37 00:02:48,370 --> 00:02:48,850 First name. 38 00:02:48,850 --> 00:02:49,480 Last name. 39 00:02:49,510 --> 00:02:50,170 Age. 40 00:03:17,990 --> 00:03:19,850 The age is less than 20. 41 00:03:20,790 --> 00:03:23,250 Or it is greater than equal to 30. 42 00:03:26,370 --> 00:03:27,440 That's when this. 43 00:03:30,120 --> 00:03:30,900 You can see. 44 00:03:32,730 --> 00:03:38,730 So all the customers who have less than 20 or is less than 30 have been retrieved. 45 00:03:38,760 --> 00:03:41,190 These are the other five rows of the table. 46 00:03:42,730 --> 00:03:44,800 Apart from and and all. 47 00:03:45,250 --> 00:03:47,740 There is one more logical operator called not. 48 00:03:49,670 --> 00:03:52,070 Not operator is used to negate a condition. 49 00:03:52,960 --> 00:03:54,010 So last time. 50 00:03:55,010 --> 00:03:59,470 When we found out that there is one customer with age 25. 51 00:03:59,480 --> 00:04:04,190 If you want to find out all the other customers you can just use not. 52 00:04:04,980 --> 00:04:11,460 So let us write this example where we are finding out all the customers with is not is equal to 25. 53 00:04:25,710 --> 00:04:26,880 From customer table. 54 00:04:26,880 --> 00:04:27,450 Where? 55 00:04:30,870 --> 00:04:31,560 We are not. 56 00:04:31,560 --> 00:04:33,930 Age is equal to 25. 57 00:04:37,050 --> 00:04:40,410 So this will give us all the customers. 58 00:04:41,360 --> 00:04:43,180 We did not equal to five. 59 00:04:43,700 --> 00:04:47,780 So last time, if you remember, we got three records. 60 00:04:48,050 --> 00:04:49,560 Our table has total ten records. 61 00:04:49,580 --> 00:04:51,080 These are the other seven records. 62 00:04:52,750 --> 00:04:58,270 Now you can use this knot operator along with and another operator. 63 00:04:58,540 --> 00:05:05,800 So, for example, if you want to specify that you want to get all the customers with age not equal 64 00:05:05,800 --> 00:05:10,770 to 25 and the customer's first name should not be G. 65 00:05:12,600 --> 00:05:16,020 So both of these conditions can be applied simultaneously. 66 00:05:16,290 --> 00:05:18,210 We will select start. 67 00:05:19,440 --> 00:05:20,850 From customer table. 68 00:05:21,690 --> 00:05:22,350 We're. 69 00:05:24,110 --> 00:05:25,670 Not age is equal to 25. 70 00:05:28,480 --> 00:05:28,990 They're not. 71 00:05:28,990 --> 00:05:31,000 Age is equal to 25. 72 00:05:33,130 --> 00:05:33,670 And. 73 00:05:34,470 --> 00:05:35,040 Not. 74 00:05:36,020 --> 00:05:36,920 First name. 75 00:05:39,750 --> 00:05:40,650 Is equal to. 76 00:05:43,630 --> 00:05:43,950 J. 77 00:05:45,850 --> 00:05:46,820 You run this. 78 00:05:48,280 --> 00:05:52,330 See, the J records are also removed. 79 00:05:52,600 --> 00:05:54,670 Now we have only four records. 80 00:05:54,670 --> 00:05:55,390 And the result? 81 00:05:56,890 --> 00:06:03,100 So these are the three logical operators which help us put multiple conditions in the same query. 6130

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