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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 0 1 00:00:01,700 --> 00:00:06,980 So let us now discuss the cross join. Cross join gives us the Cartesian product between two sets 1 2 00:00:06,980 --> 00:00:07,470 of data. 2 3 00:00:07,880 --> 00:00:09,070 What is the cartesian product? 3 4 00:00:09,230 --> 00:00:16,310 So it takes both the tables, So every row in table a, it will map all the values in table b 4 5 00:00:16,910 --> 00:00:20,480 then again, it will go to the next row of table a and it will map 5 6 00:00:20,480 --> 00:00:21,890 All the rows of table b. 6 7 00:00:21,920 --> 00:00:26,210 So for all values in table a, it will map all values in table b. 7 8 00:00:26,540 --> 00:00:29,570 So when we will discuss an example, it'll become more clear to you. 8 9 00:00:29,750 --> 00:00:32,890 This join does not have the same syntax as other joins. 9 10 00:00:32,990 --> 00:00:36,890 in other join we were writing as inner join, outer join left and right join. 10 11 00:00:37,310 --> 00:00:42,580 This is just mentioning the two table names from table one and table 2. 11 12 00:00:42,590 --> 00:00:46,250 And if there are other tables, also then table three, four and so on. 12 13 00:00:47,760 --> 00:00:55,710 So the syntax is select, table name.column name and so on from table name and the other names. 13 14 00:00:58,060 --> 00:01:02,260 As an example for crossjoin, I have created two different tables. 14 15 00:01:02,650 --> 00:01:04,820 One is the year values table. 15 16 00:01:05,020 --> 00:01:11,800 This table contains some set of years and the other is the month values table, which contains the 12 16 17 00:01:11,800 --> 00:01:12,610 months of a year. 17 18 00:01:13,210 --> 00:01:20,470 What I'm doing by cross joining these two tables is when I do a join for each year, I'll get all the 18 19 00:01:20,470 --> 00:01:22,270 12 months mapped against it. 19 20 00:01:22,810 --> 00:01:27,230 So in the result set I get for every year, there'll be 12 months. 20 21 00:01:27,670 --> 00:01:32,640 So this will give me the total ResultSet of every month mapped against every year. 21 22 00:01:33,490 --> 00:01:37,300 So I have created this table of month values and year values. 22 23 00:01:38,580 --> 00:01:40,630 Using the create table function. Create table 23 24 00:01:41,610 --> 00:01:49,290 command, then, I inserted 12 values of the month in the month values table using the insert value command 24 25 00:01:50,390 --> 00:01:51,270 Then I have entered. 25 26 00:01:52,240 --> 00:02:00,260 Nine years in the year values, using the insert into command, if you run the the select star on month 26 27 00:02:00,280 --> 00:02:03,190 values, you will see the 12 months. 27 28 00:02:03,640 --> 00:02:08,890 If you run select start on year values, you will see nine years. 28 29 00:02:10,310 --> 00:02:18,000 Suppose in a table you want each year and in each year you want to map the 12 months, it will take 12 29 30 00:02:18,040 --> 00:02:19,650 into 9 rows. 30 31 00:02:19,660 --> 00:02:23,140 So you would have to enter values into 10 rows. 31 32 00:02:24,210 --> 00:02:28,660 Instead of doing that, we entered value into only 12 plus nine. 32 33 00:02:28,690 --> 00:02:29,910 rows which is 21. 33 34 00:02:31,000 --> 00:02:41,560 And we then write the cross join. Let us write cross join after the cross join we will get those 34 35 00:02:41,560 --> 00:02:42,340 108 rows. 35 36 00:02:43,420 --> 00:02:51,940 So a.b yyy column and the b.month column. 36 37 00:02:52,360 --> 00:02:55,990 So here a will be our year table 37 38 00:02:58,690 --> 00:03:01,330 and b will be the month table. 38 39 00:03:06,530 --> 00:03:12,590 I think overall, this example is covering a lot of the other commands that we have discussed so far. 39 40 00:03:14,190 --> 00:03:15,610 So this will be a revision for you. 40 41 00:03:16,360 --> 00:03:24,490 We are creating a table inserting values, then using aliases and now we are also doing cross join 41 42 00:03:29,500 --> 00:03:34,570 When I ran this query, you see, for 2011, I have only 12 months mapped for 2012 42 43 00:03:35,140 --> 00:03:36,580 I have all the 12 months mapped. 43 44 00:03:37,870 --> 00:03:44,980 So this basically has 108 rows, if you had to create this manually, you would have to 44 45 00:03:45,160 --> 00:03:49,750 enter a lot of values, so this cross join helps you there 45 46 00:03:50,050 --> 00:03:55,480 Similarly, if you want dates also plotted against this, you can create another table with dates into 46 47 00:03:55,480 --> 00:04:02,490 it and then do a cross join with some conditions attached to it. Cross join basically help to get this repetitive 47 48 00:04:02,530 --> 00:04:03,520 data easily. 48 49 00:04:04,600 --> 00:04:06,250 So we have covered all the joins. 49 50 00:04:07,300 --> 00:04:13,300 Apart from this, since we are discussing, merging and joining, two tables will need to cover two 50 51 00:04:13,300 --> 00:04:14,320 more commands. 51 52 00:04:14,350 --> 00:04:17,730 One is the Except command and the other is the union command. 52 53 00:04:18,130 --> 00:04:20,890 So let us discuss the except command in the next video. 5405

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