필수 MtSQL 선택 연습 문제와 답변
테이블 이름 및 필드(MySQL)
학생 테이블
학생(s_id, s_name, s_birth, s_sex)
학생증, 학번, 생년월일, 학생 성별강좌표
강좌(c_id, c_name, t_id)
과목번호, 과목명, 교사번호교사 테이블
선생님(t_id, t_name)
선생님 아이디, 선생님 이름점수표
점수(s_id, c_id, s_score)
학생번호, 과목번호, 점수
Test Data - Creating Tables
- Student Table
CREATE TABLE `Student`( `s_id` VARCHAR(20), `s_name` VARCHAR(20) NOT NULL DEFAULT '', `s_birth` VARCHAR(20) NOT NULL DEFAULT '', `s_sex` VARCHAR(10) NOT NULL DEFAULT '', PRIMARY KEY(`s_id`) );
- Course Table
CREATE TABLE `Course`( `c_id` VARCHAR(20), `c_name` VARCHAR(20) NOT NULL DEFAULT '', `t_id` VARCHAR(20) NOT NULL, PRIMARY KEY(`c_id`) );
- Teacher Table
CREATE TABLE `Teacher`( `t_id` VARCHAR(20), `t_name` VARCHAR(20) NOT NULL DEFAULT '', PRIMARY KEY(`t_id`) );
- Score Table
CREATE TABLE `Score`( `s_id` VARCHAR(20), `c_id` VARCHAR(20), `s_score` INT(3), PRIMARY KEY(`s_id`,`c_id`) );
- Inserting Test Data into Student Table
INSERT INTO Student VALUES('01', 'John Doe', '1990-01-01', 'Male'); INSERT INTO Student VALUES('02', 'Jane Smith', '1990-12-21', 'Male'); INSERT INTO Student VALUES('03', 'Michael Brown', '1990-05-20', 'Male'); INSERT INTO Student VALUES('04', 'Emily Davis', '1990-08-06', 'Male'); INSERT INTO Student VALUES('05', 'Lucy Johnson', '1991-12-01', 'Female'); INSERT INTO Student VALUES('06', 'Sophia Williams', '1992-03-01', 'Female'); INSERT INTO Student VALUES('07', 'Olivia Taylor', '1989-07-01', 'Female'); INSERT INTO Student VALUES('08', 'Victoria King', '1990-01-20', 'Female');
- Inserting Test Data into Course Table
INSERT INTO Course VALUES('01', 'Literature', '02'); INSERT INTO Course VALUES('02', 'Mathematics', '01'); INSERT INTO Course VALUES('03', 'English', '03');
- Inserting Test Data into Teacher Table
INSERT INTO Teacher VALUES('01', 'Andrew'); INSERT INTO Teacher VALUES('02', 'Bethany'); INSERT INTO Teacher VALUES('03', 'Charlie');
- Transcript Test Data
insert into Score values('01' , '01' , 80); insert into Score values('01' , '02' , 90); insert into Score values('01' , '03' , 99); insert into Score values('02' , '01' , 70); insert into Score values('02' , '02' , 60); insert into Score values('02' , '03' , 80); insert into Score values('03' , '01' , 80); insert into Score values('03' , '02' , 80); insert into Score values('03' , '03' , 80); insert into Score values('04' , '01' , 50); insert into Score values('04' , '02' , 30); insert into Score values('04' , '03' , 20); insert into Score values('05' , '01' , 76); insert into Score values('05' , '02' , 87); insert into Score values('06' , '01' , 31); insert into Score values('06' , '03' , 34); insert into Score values('07' , '02' , 89); insert into Score values('07' , '03' , 98);
Exercise questions and SQL statements
- Retrieve the information and course scores of students who have a higher score in course '01' than in course '02'
SELECT a.*, b.s_score AS '01_score', c.s_score AS '02_score' FROM student a JOIN score b ON a.s_id = b.s_id AND b.c_id = '01' LEFT JOIN score c ON a.s_id = c.s_id AND c.c_id = '02' WHERE b.s_score > COALESCE(c.s_score, 0); -- Using COALESCE instead of OR c.c_id = NULL -- Alternatively SELECT a.*, b.s_score AS '01_score', c.s_score AS '02_score' FROM student a, score b, score c WHERE a.s_id = b.s_id AND a.s_id = c.s_id AND b.c_id = '01' AND c.c_id = '02' AND b.s_score > c.s_score;
- Retrieve the information and course scores of students who have a lower score in course '01' than in course '02'
SELECT a.*, b.s_score AS '01_score', c.s_score AS '02_score' FROM student a LEFT JOIN score b ON a.s_id = b.s_id AND b.c_id = '01' JOIN score c ON a.s_id = c.s_id AND c.c_id = '02' WHERE COALESCE(b.s_score, 0) < c.s_score; -- Using COALESCE for clarity
- Retrieve student IDs, names, and average scores for students with an average score of 60 or above
SELECT b.s_id, b.s_name, ROUND(AVG(a.s_score), 2) AS avg_score FROM student b JOIN score a ON b.s_id = a.s_id GROUP BY b.s_id, b.s_name HAVING AVG(a.s_score) >= 60;
- Retrieve student IDs, names, and average scores for students with an average score below 60 (including those with no scores)
SELECT b.s_id, b.s_name, ROUND(AVG(a.s_score), 2) AS avg_score FROM student b LEFT JOIN score a ON b.s_id = a.s_id GROUP BY b.s_id, b.s_name HAVING AVG(a.s_score) < 60 UNION SELECT a.s_id, a.s_name, 0 AS avg_score FROM student a WHERE a.s_id NOT IN (SELECT DISTINCT s_id FROM score);
- Retrieve student IDs, names, total courses selected, and total scores across all courses
SELECT a.s_id, a.s_name, COUNT(b.c_id) AS sum_course, SUM(b.s_score) AS sum_score FROM student a LEFT JOIN score b ON a.s_id = b.s_id GROUP BY a.s_id, a.s_name;
- Query the number of teachers with the surname "Smith"
SELECT COUNT(t_id) FROM teacher WHERE t_name LIKE 'Smith%';
- Query the information of students who have taken classes taught by Teacher "John Doe"
SELECT a.* FROM student a JOIN score b ON a.s_id = b.s_id WHERE b.c_id IN ( SELECT c_id FROM course WHERE t_id = ( SELECT t_id FROM teacher WHERE t_name = 'John Doe' ) );
- Query the information of students who have not taken classes taught by Teacher "John Doe"
SELECT * FROM student c WHERE c.s_id NOT IN ( SELECT a.s_id FROM student a JOIN score b ON a.s_id = b.s_id WHERE b.c_id IN ( SELECT a.c_id FROM course a JOIN teacher b ON a.t_id = b.t_id WHERE t_name = 'John Doe' ) );
- Query the information of students who have taken both courses with IDs "Math101" and "Science101"
SELECT a.* FROM student a, score b, score c WHERE a.s_id = b.s_id AND a.s_id = c.s_id AND b.c_id = 'Math101' AND c.c_id = 'Science101';
- Query the information of students who have taken the course with ID "Math101" but have not taken the course with ID "Science101"
SELECT a.* FROM student a WHERE a.s_id IN (SELECT s_id FROM score WHERE c_id = 'Math101') AND a.s_id NOT IN (SELECT s_id FROM score WHERE c_id = 'Science101');
- Query information of students who have not taken all courses
-- @wendiepei's approach SELECT s.* FROM student s LEFT JOIN Score s1 ON s1.s_id = s.s_id GROUP BY s.s_id HAVING COUNT(s1.c_id) < (SELECT COUNT(*) FROM course); -- @k1051785839's approach SELECT * FROM student WHERE s_id NOT IN ( SELECT s_id FROM score t1 GROUP BY s_id HAVING COUNT(*) = (SELECT COUNT(DISTINCT c_id) FROM course) );
- Query information of students who have taken at least one course in common with student ID '01'
SELECT * FROM student WHERE s_id IN ( SELECT DISTINCT a.s_id FROM score a WHERE a.c_id IN ( SELECT c_id FROM score WHERE s_id = '01' ) );
- Query information of students who have taken exactly the same courses as student ID '01'
SELECT t3.* FROM ( SELECT s_id, group_concat(c_id ORDER BY c_id) group1 FROM score WHERE s_id <> '01' GROUP BY s_id ) t1 INNER JOIN ( SELECT group_concat(c_id ORDER BY c_id) group2 FROM score WHERE s_id = '01' GROUP BY s_id ) t2 ON t1.group1 = t2.group2 INNER JOIN student t3 ON t1.s_id = t3.s_id
- Query the names of students who have not taken any course taught by Teacher "Tom"
select a.s_name from student a where a.s_id not in ( select s_id from score where c_id = (select c_id from course where t_id =( select t_id from teacher where t_name = 'Tom')));
- Query student IDs, names, and average scores of students who have failed two or more courses
SELECT a.s_id, a.s_name, ROUND(AVG(b.s_score), 2) AS average_score FROM student a LEFT JOIN score b ON a.s_id = b.s_id WHERE a.s_id IN ( SELECT s_id FROM score WHERE s_score < 60 GROUP BY s_id HAVING COUNT(*) >= 2 ) GROUP BY a.s_id, a.s_name;
- Retrieve student information for students who scored less than 60 on course "01", ordered by score in descending order.
SELECT a.*, b.c_id, b.s_score FROM student a JOIN score b ON a.s_id = b.s_id WHERE b.c_id = '01' AND b.s_score < 60 ORDER BY b.s_score DESC;
- Display the scores of all courses and the average score for each student, ordered by their average score from highest to lowest.
SELECT a.s_id, MAX(CASE WHEN c_id = '01' THEN s_score END) AS Chinese, MAX(CASE WHEN c_id = '02' THEN s_score END) AS Math, MAX(CASE WHEN c_id = '03' THEN s_score END) AS English, ROUND(AVG(s_score), 2) AS average_score FROM score a GROUP BY a.s_id ORDER BY average_score DESC;
- Query the highest score, lowest score, average score, pass rate, medium rate, good rate, and excellent rate for each course. Display in the following format: Course ID, Course Name, Highest Score, Lowest Score, Average Score, Pass Rate, Medium Rate, Good Rate, Excellent Rate.
-- Pass is >=60, Medium is 70-80, Good is 80-90, Excellent is >=90
SELECT a.c_id, b.c_name, MAX(s_score) AS HighestScore, MIN(s_score) AS LowestScore, ROUND(AVG(s_score), 2) AS AverageScore, ROUND(100 * (SUM(CASE WHEN s_score >= 60 THEN 1 ELSE 0 END) / COUNT(s_score)), 2) AS PassRate, ROUND(100 * (SUM(CASE WHEN s_score BETWEEN 70 AND 80 THEN 1 ELSE 0 END) / COUNT(s_score)), 2) AS MediumRate, ROUND(100 * (SUM(CASE WHEN s_score BETWEEN 80 AND 90 THEN 1 ELSE 0 END) / COUNT(s_score)), 2) AS GoodRate, ROUND(100 * (SUM(CASE WHEN s_score >= 90 THEN 1 ELSE 0 END) / COUNT(s_score)), 2) AS ExcellentRate FROM score a LEFT JOIN course b ON a.c_id = b.c_id GROUP BY a.c_id, b.c_name;
로그인 후 복사- Sort scores by course and display rankings. MySQL does not have a built-in RANK() function, so we'll use variables to simulate it.
SELECT a.s_id, a.c_id, @rank := IF(@prev_score = a.s_score, @rank, @rank + 1) AS rank_without_ties, @prev_score := a.s_score AS score FROM (SELECT s_id, c_id, s_score FROM score ORDER BY c_id, s_score DESC) a, (SELECT @rank := 0, @prev_score := NULL) r ORDER BY a.c_id, a.rank_without_ties;
로그인 후 복사- Query the total score of each student and rank them
SELECT a.s_id, @rank := IF(@prev_score = a.sum_score, @rank, @rank + 1) AS rank, @prev_score := a.sum_score AS total_score FROM (SELECT s_id, SUM(s_score) AS sum_score FROM score GROUP BY s_id ORDER BY sum_score DESC) a, (SELECT @rank := 0, @prev_score := NULL) r ORDER BY total_score DESC;
로그인 후 복사- Query the average score of different courses taught by different teachers, sorted from highest to lowest
SELECT a.t_id, c.t_name, a.c_id, ROUND(AVG(s_score), 2) AS avg_score FROM course a LEFT JOIN score b ON a.c_id = b.c_id LEFT JOIN teacher c ON a.t_id = c.t_id GROUP BY a.c_id, a.t_id, c.t_name ORDER BY avg_score DESC;
로그인 후 복사- Query the information of students who rank second and third in all courses along with their scores
(SELECT d.*, c.ranking, c.s_score, c.c_id FROM (SELECT s_id, s_score, c_id, @rank := IF(@prev_cid = c_id, @rank + 1, 1) AS ranking, @prev_cid := c_id FROM score, (SELECT @rank := 0, @prev_cid := NULL) AS var_init WHERE c_id = '01' ORDER BY c_id, s_score DESC ) c LEFT JOIN student d ON c.s_id = d.s_id WHERE c.ranking BETWEEN 2 AND 3 ) UNION (SELECT d.*, c.ranking, c.s_score, c.c_id FROM (SELECT similar structure as above but with c_id = '02' in the WHERE clause) c LEFT JOIN student d ON c.s_id = d.s_id WHERE c.ranking BETWEEN 2 AND 3 ) UNION (SELECT similar structure as above but with c_id = '03' in the WHERE clause);
로그인 후 복사- Count the number of students in each score range for each subject:
select distinct f.c_name, a.c_id, b.`85-100`, b.Percentage as `[85-100] Percentage`, c.`70-85`, c.Percentage as `[70-85] Percentage`, d.`60-70`, d.Percentage as `[60-70] Percentage`, e.`0-60`, e.Percentage as `[0-60] Percentage` from score a left join ( select c_id, SUM(case when s_score > 85 and s_score <= 100 then 1 else 0 end) as `85-100`, ROUND(100*(SUM(case when s_score > 85 and s_score <= 100 then 1 else 0 end)/count(*)),2) as Percentage from score GROUP BY c_id ) b on a.c_id = b.c_id left join ( select c_id, SUM(case when s_score > 70 and s_score <= 85 then 1 else 0 end) as `70-85`, ROUND(100*(SUM(case when s_score > 70 and s_score <= 85 then 1 else 0 end)/count(*)),2) as Percentage from score GROUP BY c_id ) c on a.c_id = c.c_id left join ( select c_id, SUM(case when s_score > 60 and s_score <= 70 then 1 else 0 end) as `60-70`, ROUND(100*(SUM(case when s_score > 60 and s_score <= 70 then 1 else 0 end)/count(*)),2) as Percentage from score GROUP BY c_id ) d on a.c_id = d.c_id left join ( select c_id, SUM(case when s_score >= 0 and s_score <= 60 then 1 else 0 end) as `0-60`, ROUND(100*(SUM(case when s_score >= 0 and s_score <= 60 then 1 else 0 end)/count(*)),2) as Percentage from score GROUP BY c_id ) e on a.c_id = e.c_id left join course f on a.c_id = f.c_id;
로그인 후 복사- Query average scores and their ranks for students:
select a.s_id, @i:=@i+1 as 'No Gaps in Ranking', @k:=(case when @avg_score=a.avg_s then @k else @i end) as 'With Gaps in Ranking', @avg_score:=avg_s as 'Average Score' from (select s_id, ROUND(AVG(s_score),2) as avg_s from score GROUP BY s_id ORDER BY avg_s DESC) a, (select @avg_score:=0, @i:=0, @k:=0) b;
로그인 후 복사- Query records of the top three students in each subject:
select a.s_id, a.c_id, a.s_score from score a left join score b on a.c_id = b.c_id and a.s_score < b.s_score group by a.s_id, a.c_id, a.s_score having count(b.s_id) < 3 order by a.c_id, a.s_score desc;
로그인 후 복사- Query the number of students enrolled in each course:
select c_id, count(s_id) from score group by c_id;
로그인 후 복사- Query the student ID and name of students who have taken exactly two courses:
select s_id, s_name from student where s_id in (select s_id from score group by s_id having count(c_id) = 2);
로그인 후 복사- Query the number of male and female students:
select s_sex, count(s_sex) as Count from student group by s_sex;
로그인 후 복사- Query student information whose name contains the character "Tom":
select * from student where s_name like '%Tom%';
로그인 후 복사- Query list of students with the same name and gender, and count of such names:
select a.s_name, a.s_sex, count(*) as Count from student a join student b on a.s_id != b.s_id and a.s_name = b.s_name and a.s_sex = b.s_sex group by a.s_name, a.s_sex;
로그인 후 복사- Query list of students born in 1990:
select s_name from student where s_birth like '1990%';
로그인 후 복사- Query average scores for each course, ordered by average score descending, and course ID ascending if average scores are the same:
select c_id, round(avg(s_score), 2) as avg_score from score group by c_id order by avg_score desc, c_id asc;
로그인 후 복사- Query student ID, name, and average score of students with average score >= 85:
select a.s_id, b.s_name, round(avg(a.s_score), 2) as avg_score from score a left join student b on a.s_id = b.s_id group by s_id having avg_score >= 85;
로그인 후 복사- Query names and scores of students who scored less than 60 in the course "mathematics":
select a.s_name, b.s_score from student a join score b on a.s_id = b.s_id where b.c_id = (select c_id from course where c_name = 'mathematics') and b.s_score < 60;
로그인 후 복사- Query course-wise scores and total scores of all students:
select a.s_id, a.s_name, sum(case c.c_name when 'history' then b.s_score else 0 end) as 'history', sum(case c.c_name when 'mathematics' then b.s_score else 0 end) as 'mathematics', sum(case c.c_name when 'Politics' then b.s_score else 0 end) as 'Politics', sum(b.s_score) as 'Total score' from student a left join score b on a.s_id = b.s_id left join course c on b.c_id = c.c_id group by a.s_id, a.s_name;
로그인 후 복사- Query names, course names, and scores of students scoring above 70 in any course:
select a.s_name, b.c_name, c.s_score from student a left join score c on a.s_id = c.s_id left join course b on c.c_id = b.c_id where c.s_score >= 70;
로그인 후 복사- Query courses where students failed:
select a.s_id, a.c_id, b.c_name, a.s_score from score a left join course b on a.c_id = b.c_id where a.s_score < 60;
로그인 후 복사- Query student ID and name of students who scored above 80 in course '01':
select a.s_id, b.s_name from score a left join student b on a.s_id = b.s_id where a.c_id = '01' and a.s_score > 80;
로그인 후 복사- Count number of students in each course:
select count(*) from score group by c_id;
로그인 후 복사- Query information of the highest scoring student in courses taught by teacher "Tom": -- Get teacher ID
select c_id from course c, teacher d where c.t_id = d.t_id and d.t_name = 'Tom';
로그인 후 복사-- Get maximum score (could have ties)
select max(s_score) from score where c_id = '02';
로그인 후 복사-- Get information
select a.*, b.s_score, b.c_id, c.c_name from student a left join score b on a.s_id = b.s_id left join course c on b.c_id = c.c_id where b.c_id = (select c_id from course c, teacher d where c.t_id = d.t_id and d.t_name = 'Tom') and b.s_score in (select max(s_score) from score where c_id = '02');
로그인 후 복사- Query student ID, course ID, and score where different courses have the same score:
select distinct b.s_id, b.c_id, b.s_score from score a, score b where a.c_id != b.c_id and a.s_score = b.s_score;
로그인 후 복사- Query top two scores for each course:
select a.s_id, a.c_id, a.s_score from score a where (select count(1) from score b where b.c_id = a.c_id and b.s_score >= a.s_score) <= 2 order by a.c_id;
로그인 후 복사- Count number of students enrolled in each course (courses with more than 5 students):
select c_id, count(*) as total from score group by c_id having total > 5 order by total, c_id asc;
로그인 후 복사- Query student IDs who have enrolled in at least two courses:
select s_id, count(*) as sel from score group by s_id having sel >= 2;
로그인 후 복사- Query information of students who have enrolled in all courses:
select * from student where s_id in (select s_id from score group by s_id having count(*) = (select count(*) from course));
로그인 후 복사- Query age of each student: -- Calculate age based on birthdate; subtract one if current month/day is before birthdate's month/day
select s_birth, (date_format(now(), '%Y') - date_format(s_birth, '%Y') - (case when date_format(now(), '%m%d') > date_format(s_birth, '%m%d') then 0 else 1 end)) as age from student;
로그인 후 복사- Query students whose birthday is this week:
select * from student where week(date_format(now(), '%Y%m%d')) = week(s_birth);
로그인 후 복사- Query students whose birthday is next week:
select * from student where week(date_format(now(), '%Y%m%d')) + 1 = week(s_birth);
로그인 후 복사- Query students whose birthday is this month:
select * from student where month(date_format(now(), '%Y%m%d')) = month(s_birth);
로그인 후 복사- Query students whose birthday is next month:
select * from student where month(date_format(now(), '%Y%m%d')) + 1 = month(s_birth);
로그인 후 복사OK,If you find this article helpful, feel free to share it with more people.
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전체 테이블 스캔은 MySQL에서 인덱스를 사용하는 것보다 빠를 수 있습니다. 특정 사례는 다음과 같습니다. 1) 데이터 볼륨은 작습니다. 2) 쿼리가 많은 양의 데이터를 반환 할 때; 3) 인덱스 열이 매우 선택적이지 않은 경우; 4) 복잡한 쿼리시. 쿼리 계획을 분석하고 인덱스 최적화, 과도한 인덱스를 피하고 정기적으로 테이블을 유지 관리하면 실제 응용 프로그램에서 최상의 선택을 할 수 있습니다.

예, MySQL은 Windows 7에 설치 될 수 있으며 Microsoft는 Windows 7 지원을 중단했지만 MySQL은 여전히 호환됩니다. 그러나 설치 프로세스 중에 다음 지점이 표시되어야합니다. Windows 용 MySQL 설치 프로그램을 다운로드하십시오. MySQL의 적절한 버전 (커뮤니티 또는 기업)을 선택하십시오. 설치 프로세스 중에 적절한 설치 디렉토리 및 문자를 선택하십시오. 루트 사용자 비밀번호를 설정하고 올바르게 유지하십시오. 테스트를 위해 데이터베이스에 연결하십시오. Windows 7의 호환성 및 보안 문제에 주목하고 지원되는 운영 체제로 업그레이드하는 것이 좋습니다.

MySQL 및 MariaDB는 공존 할 수 있지만주의해서 구성해야합니다. 열쇠는 각 데이터베이스에 다른 포트 번호와 데이터 디렉토리를 할당하고 메모리 할당 및 캐시 크기와 같은 매개 변수를 조정하는 것입니다. 연결 풀링, 애플리케이션 구성 및 버전 차이도 고려해야하며 함정을 피하기 위해 신중하게 테스트하고 계획해야합니다. 두 개의 데이터베이스를 동시에 실행하면 리소스가 제한되는 상황에서 성능 문제가 발생할 수 있습니다.

MySQL은 오픈 소스 관계형 데이터베이스 관리 시스템입니다. 1) 데이터베이스 및 테이블 작성 : CreateAbase 및 CreateTable 명령을 사용하십시오. 2) 기본 작업 : 삽입, 업데이트, 삭제 및 선택. 3) 고급 운영 : 가입, 하위 쿼리 및 거래 처리. 4) 디버깅 기술 : 확인, 데이터 유형 및 권한을 확인하십시오. 5) 최적화 제안 : 인덱스 사용, 선택을 피하고 거래를 사용하십시오.

데이터 통합 단순화 : AmazonRdsMysQL 및 Redshift의 Zero ETL 통합 효율적인 데이터 통합은 데이터 중심 구성의 핵심입니다. 전통적인 ETL (추출, 변환,로드) 프로세스는 특히 데이터베이스 (예 : AmazonRDSMySQL)를 데이터웨어 하우스 (예 : Redshift)와 통합 할 때 복잡하고 시간이 많이 걸립니다. 그러나 AWS는 이러한 상황을 완전히 변경 한 Zero ETL 통합 솔루션을 제공하여 RDSMYSQL에서 Redshift로 데이터 마이그레이션을위한 단순화 된 거의 실시간 솔루션을 제공합니다. 이 기사는 RDSMYSQL ZERL ETL 통합으로 Redshift와 함께 작동하여 데이터 엔지니어 및 개발자에게 제공하는 장점과 장점을 설명합니다.

Laraveleloquent 모델 검색 : 데이터베이스 데이터를 쉽게 얻을 수 있습니다. 이 기사는 데이터베이스에서 데이터를 효율적으로 얻는 데 도움이되는 다양한 웅변 모델 검색 기술을 자세히 소개합니다. 1. 모든 기록을 얻으십시오. 모든 () 메소드를 사용하여 데이터베이스 테이블에서 모든 레코드를 가져옵니다. 이것은 컬렉션을 반환합니다. Foreach 루프 또는 기타 수집 방법을 사용하여 데이터에 액세스 할 수 있습니다 : Foreach ($ postas $ post) {echo $ post->

MySQL 데이터베이스에서 사용자와 데이터베이스 간의 관계는 권한과 테이블로 정의됩니다. 사용자는 데이터베이스에 액세스 할 수있는 사용자 이름과 비밀번호가 있습니다. 권한은 보조금 명령을 통해 부여되며 테이블은 Create Table 명령에 의해 생성됩니다. 사용자와 데이터베이스 간의 관계를 설정하려면 데이터베이스를 작성하고 사용자를 생성 한 다음 권한을 부여해야합니다.

MySQL은 설치가 간단하고 강력하며 데이터를 쉽게 관리하기 쉽기 때문에 초보자에게 적합합니다. 1. 다양한 운영 체제에 적합한 간단한 설치 및 구성. 2. 데이터베이스 및 테이블 작성, 삽입, 쿼리, 업데이트 및 삭제와 같은 기본 작업을 지원합니다. 3. 조인 작업 및 하위 쿼리와 같은 고급 기능을 제공합니다. 4. 인덱싱, 쿼리 최적화 및 테이블 파티셔닝을 통해 성능을 향상시킬 수 있습니다. 5. 데이터 보안 및 일관성을 보장하기위한 지원 백업, 복구 및 보안 조치.
