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These are the user uploaded subtitles that are being translated: 0 1 00:00:00,390 --> 00:00:06,530 Till now, we were trying to join two completely different tables based on a common key. 1 2 00:00:08,490 --> 00:00:15,720 Now we are going to discuss about combining queries so there are certain operators which can help us 2 3 00:00:16,110 --> 00:00:19,170 combine the output of multiple queries. 3 4 00:00:20,590 --> 00:00:29,160 For example, if we have one select query giving us one output and another select query giving us another 4 5 00:00:29,160 --> 00:00:37,200 output, if the structure of the output of the two queries is similar, then we can combine the results 5 6 00:00:37,200 --> 00:00:41,800 of these two select queries using certain operators. 6 7 00:00:42,570 --> 00:00:48,360 Now these operators can be any of these intersect except and union. 7 8 00:00:51,770 --> 00:00:58,240 Let me show you an example so that you understand the difference between Intersect except and union, 8 9 00:00:59,990 --> 00:01:07,460 so suppose from one query I am getting this result, it is giving me a result of 5 customers and their 9 10 00:01:07,460 --> 00:01:08,000 ages. 10 11 00:01:08,990 --> 00:01:14,750 And there is another query which is giving me a list of another five customers and their age. 11 12 00:01:16,580 --> 00:01:25,100 Now you can note that out of the five customers in the first table, these third and fourth customers 12 13 00:01:25,820 --> 00:01:29,120 are also present in the result of the second query. 13 14 00:01:30,320 --> 00:01:31,770 So these two are common. 14 15 00:01:33,020 --> 00:01:38,330 You can also see that the structure of the output from both the queries is same. 15 16 00:01:38,670 --> 00:01:45,710 They both have two columns and the first column contains customer name, which is textual, and the 16 17 00:01:45,710 --> 00:01:49,060 second column contains age, which is numeric. 17 18 00:01:50,000 --> 00:01:53,300 So I can combine the result of these two queries. 18 19 00:01:54,440 --> 00:01:55,940 Again, just like join. 19 20 00:01:56,030 --> 00:02:00,850 I have multiple options of how I want to combine these two results. 20 21 00:02:01,190 --> 00:02:07,830 The first option is I want only those results which are present in both of these query output. 21 22 00:02:08,810 --> 00:02:15,770 So these third and fourth customers, which are present in both the queries, they will come if I use 22 23 00:02:15,980 --> 00:02:16,730 Intersect. 23 24 00:02:17,420 --> 00:02:23,870 So Intersect will give me those rows which are present in both the output. 24 25 00:02:24,990 --> 00:02:26,210 The order does not matter. 25 26 00:02:26,480 --> 00:02:33,290 So both of them do not need to be at the third or fourth position, only that this customer should be 26 27 00:02:33,290 --> 00:02:35,140 present in both the outputs. 27 28 00:02:35,990 --> 00:02:41,820 So Intersect will show me all the customers which were present in both output. 28 29 00:02:43,250 --> 00:02:51,090 Then we have except. Except will remove the common customers from the first output. 29 30 00:02:52,850 --> 00:03:02,000 So if I have the first output, which is this, it will look at the second output and compare each customer 30 31 00:03:02,000 --> 00:03:02,450 name. 31 32 00:03:03,170 --> 00:03:09,380 Whichever customer name is also present in the second output, those will be removed from the first 32 33 00:03:09,380 --> 00:03:14,390 output and then we will get the remaining names from the first output. 33 34 00:03:15,020 --> 00:03:21,510 So in the first output I had these five names, third and fourth were also present in the second output. 34 35 00:03:21,530 --> 00:03:30,650 So those were removed and I am getting remaining three names in my output. Union combines the result 35 36 00:03:30,650 --> 00:03:37,670 of both the outputs and you can see that I am getting all the names from the first table and the names 36 37 00:03:37,680 --> 00:03:38,960 from the second table also. 37 38 00:03:40,640 --> 00:03:48,980 So intersect will give me only those outputs which are present in both the tables, except will remove the 38 39 00:03:48,980 --> 00:03:50,510 output which are present in both 39 40 00:03:50,510 --> 00:03:57,770 the table. Union will show me the combined output of all the select queries. 40 41 00:04:00,790 --> 00:04:07,000 Now, let us discuss each of them, one by one in detail, so Intersect operator, as I have said, 41 42 00:04:07,180 --> 00:04:12,490 will return the common rows from the results of two or more select queries. 42 43 00:04:13,840 --> 00:04:15,190 The syntax goes like this. 43 44 00:04:15,460 --> 00:04:16,720 You have one select query. 44 45 00:04:17,230 --> 00:04:21,280 You can select multiple columns from table one. 45 46 00:04:21,850 --> 00:04:28,930 Then you have another select query where you have to select the same columns from table two and you 46 47 00:04:28,930 --> 00:04:34,150 can find the intersection of these two select queries using this Intersect. 47 48 00:04:34,150 --> 00:04:43,690 Operator, we can have more select queries also and we can add more intersect operators also. So if we 48 49 00:04:43,690 --> 00:04:50,110 have more select queries and more intersect operators, it will find the intersection of all those select 49 50 00:04:50,110 --> 00:04:50,620 queries. 50 51 00:04:54,180 --> 00:05:03,510 So here's an example, we have the sales 2015 table and we have customer 2060 table, there are some 51 52 00:05:03,510 --> 00:05:09,860 customer ideas present in the sales 2015 table, some customer ideas present in the customer 2060 table. 52 53 00:05:10,620 --> 00:05:17,190 If I find intersection, I'll get the customer Id's which are present in both, sales 53 54 00:05:17,190 --> 00:05:20,010 2015 table and customer 2060 table. 54 55 00:05:22,470 --> 00:05:27,930 So let's go to pgAdmin and write this query to see those customer ids which are present in both 55 56 00:05:27,930 --> 00:05:28,500 the tables. 56 57 00:05:30,520 --> 00:05:32,800 So here we will write select 57 58 00:05:35,110 --> 00:05:36,060 customer id. 58 59 00:05:39,540 --> 00:05:44,640 From Sales 2015. 59 60 00:05:48,190 --> 00:05:52,150 Intersect, select. 60 61 00:05:54,900 --> 00:05:56,190 Customer ID. 61 62 00:05:58,200 --> 00:05:58,710 From. 62 63 00:06:00,500 --> 00:06:01,800 Customer 63 64 00:06:03,570 --> 00:06:09,060 underscore 20_60 select this query and run it. 64 65 00:06:11,420 --> 00:06:21,670 So you can see that 436 customer ids are such which are present in both sales 2015 and customer 2060 table. 65 66 00:06:22,310 --> 00:06:24,890 And this is a list of those customer ids. 66 67 00:06:26,680 --> 00:06:34,000 Now, there is a variation of Intersect, which is called intersect all so if you have duplicate values 67 68 00:06:34,810 --> 00:06:39,790 in the sales and customer table, you can use intersect all. 68 69 00:06:40,850 --> 00:06:48,830 And this is available with Union also, So there is Union and union all. Union will give us combined 69 70 00:06:48,830 --> 00:06:54,360 output, but it will remove duplicates, but union all will keep the duplicates 70 71 00:06:54,380 --> 00:06:58,730 also. We will discuss union in detail in the upcoming videos. 71 72 00:06:59,090 --> 00:07:04,950 In the next video, we will discuss about Except Operator and then we will talk about Union Operator. 72 73 00:07:05,210 --> 00:07:06,350 See you in the next video. 7813

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