All language subtitles for 10. Logical Operators

af Afrikaans
sq Albanian
am Amharic
ar Arabic
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bn Bengali
bs Bosnian
bg Bulgarian
ca Catalan
ceb Cebuano
ny Chichewa
zh-CN Chinese (Simplified)
zh-TW Chinese (Traditional)
co Corsican
hr Croatian
cs Czech
da Danish
nl Dutch
en English
eo Esperanto
et Estonian
tl Filipino
fi Finnish
fr French Download
fy Frisian
gl Galician
ka Georgian
de German
el Greek
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
km Khmer
ko Korean
ku Kurdish (Kurmanji)
ky Kyrgyz
lo Lao
la Latin
lv Latvian
lt Lithuanian
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
ml Malayalam
mt Maltese
mi Maori
mr Marathi
mn Mongolian
my Myanmar (Burmese)
ne Nepali
no Norwegian
ps Pashto
fa Persian
pl Polish
pt Portuguese
pa Punjabi
ro Romanian
ru Russian
sm Samoan
gd Scots Gaelic
sr Serbian
st Sesotho
sn Shona
sd Sindhi
si Sinhala
sk Slovak
sl Slovenian
so Somali
es Spanish
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
te Telugu
th Thai
tr Turkish
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese
cy Welsh
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
or Odia (Oriya)
rw Kinyarwanda
tk Turkmen
tt Tatar
ug Uyghur
Would you like to inspect the original subtitles? 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

Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.