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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 0 1 00:00:01,990 --> 00:00:09,330 So you have done the Inner join, and we have seen the left join and the right join, Now it is time for full join, so 1 2 00:00:09,340 --> 00:00:14,970 full join, which is also known as full outer join, it combines the results of both left and right outer 2 3 00:00:15,040 --> 00:00:15,400 joins 3 4 00:00:15,940 --> 00:00:18,490 So basically, you'll get the results of both the tables. 4 5 00:00:18,790 --> 00:00:24,160 This syntex similar only instead of inner or left or right, will just write full join. 5 6 00:00:24,370 --> 00:00:27,370 And we'll have to specify a common field 6 7 00:00:27,370 --> 00:00:30,760 also, let us go ahead and look at an example. 7 8 00:00:31,980 --> 00:00:42,090 So suppose this time we want all the customers and all the sales values in our table, if there is customer 8 9 00:00:42,090 --> 00:00:47,400 value missing, there should be null, if it is sales order value missing, those value should be null. 9 10 00:00:47,520 --> 00:00:52,080 But we want all the values of both the tables in a result table. 10 11 00:00:53,490 --> 00:00:59,940 To do that, we will use full join we will write select all the columns from table one. 11 12 00:00:59,970 --> 00:01:01,200 So that is our sales table. 12 13 00:01:02,830 --> 00:01:04,660 full join on customer table. 13 14 00:01:05,630 --> 00:01:10,990 The common field is customer id, will order it by first id of table one, then the customer id of 14 15 00:01:11,130 --> 00:01:12,440 table 2. . 15 16 00:01:12,450 --> 00:01:19,160 So This b.customer id field I have added in the statement, because if you remember the last lecture, 16 17 00:01:19,580 --> 00:01:25,280 if this particular value of customer id is not present in the sales table, it will not be present 17 18 00:01:25,280 --> 00:01:30,980 in the final result and outcomes will not be able to find out the customers, which are not part of 18 19 00:01:30,980 --> 00:01:33,420 the sales table, since there customer id will be null. 19 20 00:01:33,980 --> 00:01:39,860 So I added this b.customer id in the end so that we can identify customer ids of those customers 20 21 00:01:39,860 --> 00:01:40,190 also. 21 22 00:01:40,640 --> 00:01:44,810 So now we will write this example in the pgAdmin. Select 22 23 00:01:48,160 --> 00:01:52,380 a.orderline 23 24 00:01:58,280 --> 00:02:00,490 product id, customer id 24 25 00:02:05,860 --> 00:02:06,580 sales. 25 26 00:02:14,980 --> 00:02:21,960 Customer name B.age, b.customer id. 26 27 00:02:26,260 --> 00:02:30,550 So we are getting customer id from both the tables, next is from 27 28 00:02:33,280 --> 00:02:34,930 the table one, which is sales table 28 29 00:02:35,440 --> 00:02:40,840 2015 as a full join. 29 30 00:02:44,440 --> 00:02:45,410 Customer table. 30 31 00:02:50,700 --> 00:02:57,510 As b on customer is the common field 31 32 00:03:09,420 --> 00:03:17,040 And we will order it by first the customer id of table a, then the customer id of table b. 32 33 00:03:40,030 --> 00:03:40,900 Run this query. 33 34 00:03:45,250 --> 00:03:52,210 So you can see we now have the ResultSet let us see three vaur from the three values in the comments part, which is 34 35 00:03:52,420 --> 00:03:53,500 present and which is not present. 35 36 00:03:53,500 --> 00:03:56,440 So full join should basically mean all the values are present. 36 37 00:03:56,670 --> 00:04:02,740 Let us see so one zero three one five, which was not present in the customer table, is present in 37 38 00:04:02,740 --> 00:04:05,740 the ResultSet one zero three seven five. 38 39 00:04:06,840 --> 00:04:08,220 Is President in the ResultSet. 39 40 00:04:09,100 --> 00:04:15,250 It was President both the tables. 10480, we will have to go down, will have to scroll it 40 41 00:04:15,250 --> 00:04:15,640 down. 41 42 00:04:17,650 --> 00:04:19,570 To find this value of 10480. 42 43 00:04:21,730 --> 00:04:28,300 So, since we had first done the ordering by customer, I'd of table a, it is basically going 43 44 00:04:28,300 --> 00:04:30,980 to the end where the values null. 44 45 00:04:32,650 --> 00:04:37,020 So this is the row with customer id 10480. 45 46 00:04:37,450 --> 00:04:38,470 We are getting this row aldo. 46 47 00:04:39,060 --> 00:04:46,430 So basically we are getting all the customer ids from both the tables and wherever somebody is missing 47 48 00:04:46,450 --> 00:04:48,440 in one of the tables, we are getting null values. 48 49 00:04:49,780 --> 00:04:53,240 So this is how we do full join, will get all values from both the tables. 49 50 00:04:53,740 --> 00:04:55,150 Next is cross-join. 50 51 00:04:55,690 --> 00:04:57,310 Let us discuss what this join does. 4971

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