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These are the user uploaded subtitles that are being translated: 1 00:00:00,960 --> 00:00:06,240 Now, the first window function we are going to discuss is rule number. 2 00:00:07,390 --> 00:00:13,870 As the name suggests, raw numbers gives the raw number in a separate column. 3 00:00:15,010 --> 00:00:23,710 You can also provide this raw number on the basis of groups and on the basis of your given order on 4 00:00:23,710 --> 00:00:25,240 which you want to sort. 5 00:00:26,980 --> 00:00:32,230 No, we will just take this example to understand this function. 6 00:00:33,750 --> 00:00:38,010 Now suppose I have three columns in my data set. 7 00:00:38,780 --> 00:00:46,250 The first column is customer, where I have the different customer IDs for each customer. 8 00:00:47,040 --> 00:00:49,560 The second column is state. 9 00:00:49,980 --> 00:00:54,560 Here I have a state corresponding to each customer. 10 00:00:54,570 --> 00:00:58,350 So as you can see, there are two kinds of state. 11 00:00:58,800 --> 00:01:03,360 And then the third column is orders. 12 00:01:03,450 --> 00:01:10,920 Here we have the total number of orders that each customer has placed in a given amount of time. 13 00:01:12,130 --> 00:01:20,950 Now, suppose in each state I want to give rule number to the customers according to their number of 14 00:01:20,950 --> 00:01:21,610 orders. 15 00:01:23,550 --> 00:01:33,780 For example, for State A I have one to give rule number one to the customer with maximum number of 16 00:01:33,780 --> 00:01:34,410 orders. 17 00:01:34,500 --> 00:01:38,850 So I want value as one in front of my customer. 18 00:01:38,880 --> 00:01:45,600 See five Since he or she has placed maximum number of orders in a state a. 19 00:01:47,350 --> 00:01:52,780 Seven has placed three orders and SI five has placed six orders. 20 00:01:53,680 --> 00:02:02,980 So I want to get one in front of see five two in front of C one and then three in front of C seven. 21 00:02:04,750 --> 00:02:13,900 Similarly, in State B, I have four customers with order five, four, two and four. 22 00:02:14,770 --> 00:02:25,540 Since C two has placed maximum number of orders in state B, I want to give c2a value of one, then 23 00:02:25,540 --> 00:02:32,680 C three and C six has placed four orders and then C four has placed two orders. 24 00:02:32,680 --> 00:02:38,800 So I want my ordering in this order inside the group of states. 25 00:02:40,180 --> 00:02:43,360 So this is the final table I have want. 26 00:02:45,820 --> 00:02:49,210 We can use rule number to get this column. 27 00:02:50,700 --> 00:02:51,960 Now here. 28 00:02:52,860 --> 00:02:58,830 This is the syntax of row number, which is the keyword is row number. 29 00:02:58,860 --> 00:03:06,300 Then we will write over and then partition by and order by and partition by. 30 00:03:06,330 --> 00:03:12,810 We have to mention the column on which we want to partition our data or group our data. 31 00:03:12,870 --> 00:03:20,160 For example, here we want our customer to have row numbers within a group of states. 32 00:03:20,220 --> 00:03:21,090 So. 33 00:03:22,290 --> 00:03:25,530 So I will write partition by store. 34 00:03:26,410 --> 00:03:28,060 And on what basis. 35 00:03:28,060 --> 00:03:30,280 We want to provide these raw numbers. 36 00:03:30,280 --> 00:03:35,360 We want to provide this raw numbers on the basis of their number of orders. 37 00:03:35,410 --> 00:03:39,220 So in order by I will write orders. 38 00:03:39,910 --> 00:03:45,520 And since we want this in descending order, we'll read the SC. 39 00:03:46,800 --> 00:03:51,150 So let's look at the output we get after running this code. 40 00:03:51,270 --> 00:03:53,580 So this is the output we will get. 41 00:03:54,370 --> 00:04:00,610 C five with maximum number of orders in state, one will get rule number as one. 42 00:04:01,120 --> 00:04:08,860 Then the second highest number of orders in state A is CE one with three orders. 43 00:04:08,860 --> 00:04:12,070 So C one should be second. 44 00:04:12,250 --> 00:04:13,450 Similarly. 45 00:04:14,380 --> 00:04:18,430 C7 seven has the lowest number of orders, so. 46 00:04:19,250 --> 00:04:22,250 The third row should be off C seven. 47 00:04:24,110 --> 00:04:24,970 Similarly. 48 00:04:24,980 --> 00:04:28,250 Now let's move to a state B. 49 00:04:28,490 --> 00:04:32,090 Here we are using partition by state. 50 00:04:32,870 --> 00:04:41,540 The row numbering will start with a state B, so the maximum number of orders in the state B is of C 51 00:04:41,540 --> 00:04:42,020 two. 52 00:04:42,050 --> 00:04:52,430 So we will get C two as one, then C three and C six have same number of orders, but since C three 53 00:04:52,460 --> 00:04:54,110 is appearing first. 54 00:04:54,850 --> 00:04:58,420 So C three should get second row number. 55 00:04:59,020 --> 00:05:06,850 Then comes C six with four orders, and at last we'll get C four with just two orders and row number 56 00:05:06,850 --> 00:05:07,570 of four. 57 00:05:09,100 --> 00:05:17,080 So if you look at the definition, it will also suggest the same thing unique number for each row within 58 00:05:17,080 --> 00:05:21,060 the partition, with different values for tied values. 59 00:05:21,070 --> 00:05:27,430 So here we had a tie, but we get unique values in the row number. 60 00:05:29,550 --> 00:05:32,940 So that's our first window function. 61 00:05:33,420 --> 00:05:37,080 Now let's use it in the data that we are using. 62 00:05:37,760 --> 00:05:46,760 So suppose we want to create a list of top three customers with maximum number of orders from each state? 63 00:05:47,680 --> 00:05:50,650 So we have customer table, we have sales table. 64 00:05:50,680 --> 00:05:57,850 Now we want to create a list of top three customers with maximum orders from each state like this. 65 00:05:58,480 --> 00:06:02,860 In the next video, we'll see how to do that. 66 00:06:03,190 --> 00:06:03,910 Thank you. 6192

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