http://boj.kr/75e1a72c7eab45d6a16e0aa2fa830207 안녕하십니까 강사님. 백준 해킹 문제 풀다가, 틀린곳이 찾기 힘들어서 제 코딩실력에 한탄하며 강사님 교육 수강했습니다.강의 듣다보니 질문하는것도 답해주신다길래 글남겨 봅니다. 시간되시면 어디가 틀렸는지 확인해주시면 안될까요.. 감사합니다.김기정 드림

제작은 했는데요 사이트 들어가면 한글이 깨져서 나와요 어떻게 해야하죠???

안녕하세요! 제가 노드버드 프로젝트에 테스트코드를 작성하고 싶어서 독학하는 중에 정말 안 풀리는게 있어서 문의드립니다.. 기존에 스토어 만든 코드를 가지고 테스트용 스토어를 생성하고 있습니다. 아래는 제가 작성한 코드입니다..import React from 'react' import { render } from '@testing-library/react' import wrapper from 'redux/store'; const Wrapper = ({ children }) => { return <>{children}</> }; const customRender = (ui, options) => render(ui, { wrapper: wrapper.withRedux(Wrapper), ...options }) export * from '@testing-library/react' // override render method export { customRender as renderRedux }  아래는 오류 내용입니다. console.error Warning: React.createElement: type is invalid -- expected a string (for built-in components) or a class/function (for composite components) but got: undefined. You likely forgot to export your component from the file it's defined in, or you might have mixed up default and named imports. Check the render method of withRedux(Wrapper). at Wrapper () 12 | 13 | const customRender = (ui, options) => > 14 | render(ui, { wrapper: wrapper.withRedux(Wrapper), ...options }) | ^ 15 | 16 | export * from '@testing-library/react' 아무리 생각해도 떠오르지 않는데..혹시 조언해주실수 있으실까요 ㅜㅜ

제가 schema.sql 파일로 테이블을 만들고, data.sql 파일로 row값을 넣었는데요.테이블에 의미없는 데이터를 100개정도 넣어둘려 하는데, 100개를 타이핑하기에는 힘들잖아요?그래서 같은내용의 데이터를 아이디(primary key)만 바꿔서 100개정도 넣는 쿼리문이 있나요?

CellTemplate에 새로만들기가 안떠서 DateTemplate를 사용하지 못하는 상황인데 어떻게 하면 되나요?

강의 보면서 사무실에서 뿜었습니다.거북이 설명하시는거 진짜 재밌으세요!강의도 기대됩니다.

- 학습 관련 질문을 남겨주세요. 상세히 작성하면 더 좋아요! - 먼저 유사한 질문이 있었는지 검색해보세요. - 서로 예의를 지키며 존중하는 문화를 만들어가요. - 잠깐! 인프런 서비스 운영 관련 문의는 1:1 문의하기를 이용해주세요. 넷플릭스 로고를 누르면 새로고침이 아닌 검색페이지와 같은 다른 페이지에서 메인페이지로 다시오게 하려면 어떻게 해야할까요?? (제가 react-router-dom에 아직 이해를 못한거 같습니다.)검색페이지에서 검색을 하고 뒤로가기버튼을 누르면 타이핑한 글자 하나 하나씩 뒤로가기가 되는데 이걸 뒤로가기 했을때 바로 그 뒤에 페이지인(현재는 메인페이지로) 이동을 하려면 어떻게 해야 할까요?

 결과가 이렇게 나와서 환경 구축하는 거 좀 알려주세요

[질문 내용]질문 게시판에 글을 읽다 보니public class AppConfig { public MemberService memberService() { return new MemberServiceImpl(); } public MemeberRepository memberRepository() { return new MemoryMemberRepository(); } }public class MemberServiceImpl implements MemberService { AppConfig appConfig = new AppConfig(); MemberRepository memberRepository = appConfig.memberRepository(); @Override public void join(Member member) { memberRepository.save(member); } @Override public Member findMember(Long memberId) { return memberRepository.findById(memberId); } }위와 같은 코드형식은 MemberServiceImpl이 AppConfig를 의존하는 형식이 되기 때문에 생성자를 사용하여 불필요한 의존관계를 줄인다고 보았습니다. 그렇다면 강의에서 Main 메서드나 Test 코드에서 service를 사용하기 위해 Appconfig를 사용하는 것은 Main 메서드가 AppConfig를 의존한다고 볼 수 있지 않나요? 위에서 얘기한 이유로 MemberServiceImpl에서 AppConfig를 사용하지 않는다면 Main 메서드에서는 왜 AppConfig를 사용하는지 의문입니다.

[질문 템플릿]1. 강의 내용과 관련된 질문인가요? (예/아니오)2. 인프런의 질문 게시판과 자주 하는 질문에 없는 내용인가요? (예/아니오)3. 질문 잘하기 메뉴얼을 읽어보셨나요? (예/아니오)[질문 내용]orderRepository 파일의 findAllWithItem 함수를 통해 데이터를 불러 올때 setFirstResult 과 setMaxResults 를 통해 페이징을 하기로 코드에 설정하였습니다.하지만 실제로 api(/api/v3.1/orders?offset=1&limit=10)를 호출해보면 jpa를 통해 만들어지는 쿼리에 offset 및 limit 이 적용되지 않고 날라갑니다. 어떤 문제가 있는지 찾아보았으나 찾지 못하여 질문 올립니다.OrderRepository.javapackage jpabook.jpashop.repository; import jpabook.jpashop.api.OrderSimpleApiController; import jpabook.jpashop.domain.Order; import lombok.RequiredArgsConstructor; import org.springframework.stereotype.Repository; import javax.persistence.EntityManager; import java.util.List; @Repository @RequiredArgsConstructor public class OrderRepository { private final EntityManager em; public void save(Order order) { em.persist(order); } public Order findOne(Long id) { return em.find(Order.class, id); } public List<Order> findAll(OrderSearch orderSearch) { return em.createQuery("select o from Order o join o.member m" + " where o.status = :status" + " and m.name like :name", Order.class) .setParameter("status", orderSearch.getOrderStatus()) .setParameter("name", orderSearch.getMemberName()) .setFirstResult(0) .setMaxResults(1000) .getResultList(); } public List<Order> findAllWithMemberDelivery() { return em.createQuery( "select o from Order o" + " join fetch o.member m" + " join fetch o.delivery d", Order.class ).getResultList(); } public List<Order> findAllWithItem() { return em.createQuery( "select distinct o from Order o" + " join fetch o.member m" + " join fetch o.delivery d" + " join fetch o.orderItems oi" + " join fetch oi.item i", Order.class ).getResultList(); } public List<Order> findAllWithItem(int offset, int limit) { return em.createQuery( "select o from Order o" + " join fetch o.member m" + " join fetch o.delivery d", Order.class) .setFirstResult(offset) .setMaxResults(limit) .getResultList(); } } OrderApiController.javapackage jpabook.jpashop.api; import ch.qos.logback.classic.sift.AppenderFactoryUsingJoran; import jpabook.jpashop.domain.Address; import jpabook.jpashop.domain.Order; import jpabook.jpashop.domain.OrderItem; import jpabook.jpashop.domain.OrderStatus; import jpabook.jpashop.repository.OrderRepository; import jpabook.jpashop.repository.OrderSearch; import lombok.Data; import lombok.RequiredArgsConstructor; import org.hibernate.cache.spi.support.AbstractCachedDomainDataAccess; import org.springframework.web.bind.annotation.GetMapping; import org.springframework.web.bind.annotation.RequestParam; import org.springframework.web.bind.annotation.RestController; import java.time.LocalDateTime; import java.util.List; import java.util.stream.Collectors; @RestController @RequiredArgsConstructor public class OrderApiController { private final OrderRepository orderRepository; @GetMapping("/api/v1/orders") public List<Order> ordersv1() { List<Order> all = orderRepository.findAll(new OrderSearch()); for (Order order : all) { order.getMember().getName(); order.getDelivery().getAddress(); List<OrderItem> orderItems = order.getOrderItems(); orderItems.stream().forEach(o-> o.getItem().getName()); } return all; } @GetMapping("/api/v2/orders") public List<OrderDto> ordersv2() { List<Order> orders = orderRepository.findAll(new OrderSearch()); List<OrderDto> result = orders.stream() .map(o -> new OrderDto(o)) .collect(Collectors.toList()); return result; } @GetMapping("/api/v3/orders") public List<OrderDto> ordersV3( @RequestParam(value = "offset", defaultValue = "0") int offset, @RequestParam(value = "limit", defaultValue = "100") int limit ) { List<Order> orders=orderRepository.findAllWithItem(offset, limit ); List<OrderDto> result = orders.stream() .map(o -> new OrderDto(o)) .collect(Collectors.toList()); return result; } @GetMapping("/api/v3.1/orders") public List<OrderDto> ordersV3_page() { List<Order> orders=orderRepository.findAllWithMemberDelivery(); List<OrderDto> result = orders.stream() .map(o -> new OrderDto(o)) .collect(Collectors.toList()); return result; } @Data static class OrderDto { private Long orderId; private String name; private LocalDateTime orderDate; private OrderStatus orderStatus; private Address address; private List<OrderItemDto> orderItems; public OrderDto(Order order) { orderId =order.getId(); name= order.getMember().getName(); orderDate = order.getOrderDate(); orderStatus = order.getStatus(); address=order.getDelivery().getAddress(); orderItems=order.getOrderItems().stream().map(orderItem -> new OrderItemDto(orderItem)).collect(Collectors.toList()); } } @Data static class OrderItemDto { private String itemName; private int orderPrice; private int count; public OrderItemDto(OrderItem orderItem) { itemName = orderItem.getItem().getName(); orderPrice=orderItem.getOrderPrice(); count=orderItem.getCount(); } } } api 호출시 터미널에 뜨는 메시지 select order0_.order_id as order_id1_6_0_, member1_.member_id as member_i1_4_1_, delivery2_.delivery_id as delivery1_2_2_, order0_.delivery_id as delivery4_6_0_, order0_.member_id as member_i5_6_0_, order0_.order_date as order_da2_6_0_, order0_.status as status3_6_0_, member1_.city as city2_4_1_, member1_.street as street3_4_1_, member1_.zipcode as zipcode4_4_1_, member1_.name as name5_4_1_, delivery2_.city as city2_2_2_, delivery2_.street as street3_2_2_, delivery2_.zipcode as zipcode4_2_2_, delivery2_.status as status5_2_2_ from orders order0_ inner join member member1_ on order0_.member_id=member1_.member_id inner join delivery delivery2_ on order0_.delivery_id=delivery2_.delivery_id Hibernate: select order0_.order_id as order_id1_6_0_, member1_.member_id as member_i1_4_1_, delivery2_.delivery_id as delivery1_2_2_, order0_.delivery_id as delivery4_6_0_, order0_.member_id as member_i5_6_0_, order0_.order_date as order_da2_6_0_, order0_.status as status3_6_0_, member1_.city as city2_4_1_, member1_.street as street3_4_1_, member1_.zipcode as zipcode4_4_1_, member1_.name as name5_4_1_, delivery2_.city as city2_2_2_, delivery2_.street as street3_2_2_, delivery2_.zipcode as zipcode4_2_2_, delivery2_.status as status5_2_2_ from orders order0_ inner join member member1_ on order0_.member_id=member1_.member_id inner join delivery delivery2_ on order0_.delivery_id=delivery2_.delivery_id 2022-11-02 16:18:50.294 INFO 31332 --- [nio-8080-exec-1] p6spy : #1667373530294 | took 0ms | statement | connection 6| url jdbc:h2:tcp://localhost/~/jpashop select order0_.order_id as order_id1_6_0_, member1_.member_id as member_i1_4_1_, delivery2_.delivery_id as delivery1_2_2_, order0_.delivery_id as delivery4_6_0_, order0_.member_id as member_i5_6_0_, order0_.order_date as order_da2_6_0_, order0_.status as status3_6_0_, member1_.city as city2_4_1_, member1_.street as street3_4_1_, member1_.zipcode as zipcode4_4_1_, member1_.name as name5_4_1_, delivery2_.city as city2_2_2_, delivery2_.street as street3_2_2_, delivery2_.zipcode as zipcode4_2_2_, delivery2_.status as status5_2_2_ from orders order0_ inner join member member1_ on order0_.member_id=member1_.member_id inner join delivery delivery2_ on order0_.delivery_id=delivery2_.delivery_id select order0_.order_id as order_id1_6_0_, member1_.member_id as member_i1_4_1_, delivery2_.delivery_id as delivery1_2_2_, order0_.delivery_id as delivery4_6_0_, order0_.member_id as member_i5_6_0_, order0_.order_date as order_da2_6_0_, order0_.status as status3_6_0_, member1_.city as city2_4_1_, member1_.street as street3_4_1_, member1_.zipcode as zipcode4_4_1_, member1_.name as name5_4_1_, delivery2_.city as city2_2_2_, delivery2_.street as street3_2_2_, delivery2_.zipcode as zipcode4_2_2_, delivery2_.status as status5_2_2_ from orders order0_ inner join member member1_ on order0_.member_id=member1_.member_id inner join delivery delivery2_ on order0_.delivery_id=delivery2_.delivery_id; 2022-11-02 16:18:50.296 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([order_id1_6_0_] : [BIGINT]) - [4] 2022-11-02 16:18:50.296 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([member_i1_4_1_] : [BIGINT]) - [1] 2022-11-02 16:18:50.297 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([delivery1_2_2_] : [BIGINT]) - [5] 2022-11-02 16:18:50.298 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([delivery4_6_0_] : [BIGINT]) - [5] 2022-11-02 16:18:50.298 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([member_i5_6_0_] : [BIGINT]) - [1] 2022-11-02 16:18:50.299 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([order_da2_6_0_] : [TIMESTAMP]) - [2022-11-02T16:18:45.107619] 2022-11-02 16:18:50.299 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([status3_6_0_] : [VARCHAR]) - [ORDER] 2022-11-02 16:18:50.299 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([city2_4_1_] : [VARCHAR]) - [seoul] 2022-11-02 16:18:50.299 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([street3_4_1_] : [VARCHAR]) - [1] 2022-11-02 16:18:50.299 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([zipcode4_4_1_] : [VARCHAR]) - [111] 2022-11-02 16:18:50.299 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([name5_4_1_] : [VARCHAR]) - [userA] 2022-11-02 16:18:50.300 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([city2_2_2_] : [VARCHAR]) - [seoul] 2022-11-02 16:18:50.300 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([street3_2_2_] : [VARCHAR]) - [1] 2022-11-02 16:18:50.300 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([zipcode4_2_2_] : [VARCHAR]) - [111] 2022-11-02 16:18:50.300 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([status5_2_2_] : [VARCHAR]) - [null] 2022-11-02 16:18:50.300 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([order_id1_6_0_] : [BIGINT]) - [11] 2022-11-02 16:18:50.300 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([member_i1_4_1_] : [BIGINT]) - [8] 2022-11-02 16:18:50.300 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([delivery1_2_2_] : [BIGINT]) - [12] 2022-11-02 16:18:50.300 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([delivery4_6_0_] : [BIGINT]) - [12] 2022-11-02 16:18:50.300 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([member_i5_6_0_] : [BIGINT]) - [8] 2022-11-02 16:18:50.300 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([order_da2_6_0_] : [TIMESTAMP]) - [2022-11-02T16:18:45.142303] 2022-11-02 16:18:50.300 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([status3_6_0_] : [VARCHAR]) - [ORDER] 2022-11-02 16:18:50.300 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([city2_4_1_] : [VARCHAR]) - [tokyo] 2022-11-02 16:18:50.300 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([street3_4_1_] : [VARCHAR]) - [1] 2022-11-02 16:18:50.300 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([zipcode4_4_1_] : [VARCHAR]) - [111] 2022-11-02 16:18:50.300 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([name5_4_1_] : [VARCHAR]) - [userB] 2022-11-02 16:18:50.301 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([city2_2_2_] : [VARCHAR]) - [tokyo] 2022-11-02 16:18:50.301 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([street3_2_2_] : [VARCHAR]) - [1] 2022-11-02 16:18:50.301 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([zipcode4_2_2_] : [VARCHAR]) - [111] 2022-11-02 16:18:50.301 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([status5_2_2_] : [VARCHAR]) - [null] 2022-11-02 16:18:50.306 TRACE 31332 --- [nio-8080-exec-1] org.hibernate.type.CollectionType : Created collection wrapper: [jpabook.jpashop.domain.Order.orderItems#4] 2022-11-02 16:18:50.307 TRACE 31332 --- [nio-8080-exec-1] org.hibernate.type.CollectionType : Created collection wrapper: [jpabook.jpashop.domain.Member.orders#1] 2022-11-02 16:18:50.307 TRACE 31332 --- [nio-8080-exec-1] org.hibernate.type.CollectionType : Created collection wrapper: [jpabook.jpashop.domain.Order.orderItems#11] 2022-11-02 16:18:50.307 TRACE 31332 --- [nio-8080-exec-1] org.hibernate.type.CollectionType : Created collection wrapper: [jpabook.jpashop.domain.Member.orders#8] 2022-11-02 16:18:50.310 DEBUG 31332 --- [nio-8080-exec-1] org.hibernate.SQL : select orderitems0_.order_id as order_id5_5_0_, orderitems0_.order_item_id as order_it1_5_0_, orderitems0_.order_item_id as order_it1_5_1_, orderitems0_.count as count2_5_1_, orderitems0_.item_id as item_id4_5_1_, orderitems0_.order_id as order_id5_5_1_, orderitems0_.order_price as order_pr3_5_1_ from order_item orderitems0_ where orderitems0_.order_id=? Hibernate: select orderitems0_.order_id as order_id5_5_0_, orderitems0_.order_item_id as order_it1_5_0_, orderitems0_.order_item_id as order_it1_5_1_, orderitems0_.count as count2_5_1_, orderitems0_.item_id as item_id4_5_1_, orderitems0_.order_id as order_id5_5_1_, orderitems0_.order_price as order_pr3_5_1_ from order_item orderitems0_ where orderitems0_.order_id=? 2022-11-02 16:18:50.311 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicBinder : binding parameter [1] as [BIGINT] - [4] 2022-11-02 16:18:50.312 INFO 31332 --- [nio-8080-exec-1] p6spy : #1667373530312 | took 0ms | statement | connection 6| url jdbc:h2:tcp://localhost/~/jpashop select orderitems0_.order_id as order_id5_5_0_, orderitems0_.order_item_id as order_it1_5_0_, orderitems0_.order_item_id as order_it1_5_1_, orderitems0_.count as count2_5_1_, orderitems0_.item_id as item_id4_5_1_, orderitems0_.order_id as order_id5_5_1_, orderitems0_.order_price as order_pr3_5_1_ from order_item orderitems0_ where orderitems0_.order_id=? select orderitems0_.order_id as order_id5_5_0_, orderitems0_.order_item_id as order_it1_5_0_, orderitems0_.order_item_id as order_it1_5_1_, orderitems0_.count as count2_5_1_, orderitems0_.item_id as item_id4_5_1_, orderitems0_.order_id as order_id5_5_1_, orderitems0_.order_price as order_pr3_5_1_ from order_item orderitems0_ where orderitems0_.order_id=4; 2022-11-02 16:18:50.315 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([order_it1_5_1_] : [BIGINT]) - [6] 2022-11-02 16:18:50.316 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([count2_5_1_] : [INTEGER]) - [1] 2022-11-02 16:18:50.316 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([item_id4_5_1_] : [BIGINT]) - [3] 2022-11-02 16:18:50.316 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([order_id5_5_1_] : [BIGINT]) - [4] 2022-11-02 16:18:50.316 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([order_pr3_5_1_] : [INTEGER]) - [10000] 2022-11-02 16:18:50.317 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([order_id5_5_0_] : [BIGINT]) - [4] 2022-11-02 16:18:50.317 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([order_it1_5_0_] : [BIGINT]) - [6] 2022-11-02 16:18:50.319 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([order_it1_5_1_] : [BIGINT]) - [7] 2022-11-02 16:18:50.319 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([count2_5_1_] : [INTEGER]) - [2] 2022-11-02 16:18:50.319 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([item_id4_5_1_] : [BIGINT]) - [3] 2022-11-02 16:18:50.319 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([order_id5_5_1_] : [BIGINT]) - [4] 2022-11-02 16:18:50.319 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([order_pr3_5_1_] : [INTEGER]) - [10000] 2022-11-02 16:18:50.319 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([order_id5_5_0_] : [BIGINT]) - [4] 2022-11-02 16:18:50.320 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([order_it1_5_0_] : [BIGINT]) - [7] 2022-11-02 16:18:50.324 DEBUG 31332 --- [nio-8080-exec-1] org.hibernate.SQL : select item0_.item_id as item_id2_3_0_, item0_.name as name3_3_0_, item0_.price as price4_3_0_, item0_.stock_quantity as stock_qu5_3_0_, item0_.artist as artist6_3_0_, item0_.etc as etc7_3_0_, item0_.author as author8_3_0_, item0_.isbn as isbn9_3_0_, item0_.actor as actor10_3_0_, item0_.director as directo11_3_0_, item0_.dtype as dtype1_3_0_ from item item0_ where item0_.item_id=? Hibernate: select item0_.item_id as item_id2_3_0_, item0_.name as name3_3_0_, item0_.price as price4_3_0_, item0_.stock_quantity as stock_qu5_3_0_, item0_.artist as artist6_3_0_, item0_.etc as etc7_3_0_, item0_.author as author8_3_0_, item0_.isbn as isbn9_3_0_, item0_.actor as actor10_3_0_, item0_.director as directo11_3_0_, item0_.dtype as dtype1_3_0_ from item item0_ where item0_.item_id=? 2022-11-02 16:18:50.325 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicBinder : binding parameter [1] as [BIGINT] - [3] 2022-11-02 16:18:50.325 INFO 31332 --- [nio-8080-exec-1] p6spy : #1667373530325 | took 0ms | statement | connection 6| url jdbc:h2:tcp://localhost/~/jpashop select item0_.item_id as item_id2_3_0_, item0_.name as name3_3_0_, item0_.price as price4_3_0_, item0_.stock_quantity as stock_qu5_3_0_, item0_.artist as artist6_3_0_, item0_.etc as etc7_3_0_, item0_.author as author8_3_0_, item0_.isbn as isbn9_3_0_, item0_.actor as actor10_3_0_, item0_.director as directo11_3_0_, item0_.dtype as dtype1_3_0_ from item item0_ where item0_.item_id=? select item0_.item_id as item_id2_3_0_, item0_.name as name3_3_0_, item0_.price as price4_3_0_, item0_.stock_quantity as stock_qu5_3_0_, item0_.artist as artist6_3_0_, item0_.etc as etc7_3_0_, item0_.author as author8_3_0_, item0_.isbn as isbn9_3_0_, item0_.actor as actor10_3_0_, item0_.director as directo11_3_0_, item0_.dtype as dtype1_3_0_ from item item0_ where item0_.item_id=3; 2022-11-02 16:18:50.326 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([dtype1_3_0_] : [VARCHAR]) - [B] 2022-11-02 16:18:50.326 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([name3_3_0_] : [VARCHAR]) - [jap2 book] 2022-11-02 16:18:50.326 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([price4_3_0_] : [INTEGER]) - [10000] 2022-11-02 16:18:50.326 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([stock_qu5_3_0_] : [INTEGER]) - [97] 2022-11-02 16:18:50.326 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([author8_3_0_] : [VARCHAR]) - [null] 2022-11-02 16:18:50.326 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([isbn9_3_0_] : [VARCHAR]) - [null] 2022-11-02 16:18:50.326 TRACE 31332 --- [nio-8080-exec-1] org.hibernate.type.CollectionType : Created collection wrapper: [jpabook.jpashop.domain.item.Item.categories#3] 2022-11-02 16:18:50.327 DEBUG 31332 --- [nio-8080-exec-1] org.hibernate.SQL : select orderitems0_.order_id as order_id5_5_0_, orderitems0_.order_item_id as order_it1_5_0_, orderitems0_.order_item_id as order_it1_5_1_, orderitems0_.count as count2_5_1_, orderitems0_.item_id as item_id4_5_1_, orderitems0_.order_id as order_id5_5_1_, orderitems0_.order_price as order_pr3_5_1_ from order_item orderitems0_ where orderitems0_.order_id=? Hibernate: select orderitems0_.order_id as order_id5_5_0_, orderitems0_.order_item_id as order_it1_5_0_, orderitems0_.order_item_id as order_it1_5_1_, orderitems0_.count as count2_5_1_, orderitems0_.item_id as item_id4_5_1_, orderitems0_.order_id as order_id5_5_1_, orderitems0_.order_price as order_pr3_5_1_ from order_item orderitems0_ where orderitems0_.order_id=? 2022-11-02 16:18:50.327 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicBinder : binding parameter [1] as [BIGINT] - [11] 2022-11-02 16:18:50.327 INFO 31332 --- [nio-8080-exec-1] p6spy : #1667373530327 | took 0ms | statement | connection 6| url jdbc:h2:tcp://localhost/~/jpashop select orderitems0_.order_id as order_id5_5_0_, orderitems0_.order_item_id as order_it1_5_0_, orderitems0_.order_item_id as order_it1_5_1_, orderitems0_.count as count2_5_1_, orderitems0_.item_id as item_id4_5_1_, orderitems0_.order_id as order_id5_5_1_, orderitems0_.order_price as order_pr3_5_1_ from order_item orderitems0_ where orderitems0_.order_id=? select orderitems0_.order_id as order_id5_5_0_, orderitems0_.order_item_id as order_it1_5_0_, orderitems0_.order_item_id as order_it1_5_1_, orderitems0_.count as count2_5_1_, orderitems0_.item_id as item_id4_5_1_, orderitems0_.order_id as order_id5_5_1_, orderitems0_.order_price as order_pr3_5_1_ from order_item orderitems0_ where orderitems0_.order_id=11; 2022-11-02 16:18:50.328 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([order_it1_5_1_] : [BIGINT]) - [13] 2022-11-02 16:18:50.328 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([count2_5_1_] : [INTEGER]) - [2] 2022-11-02 16:18:50.328 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([item_id4_5_1_] : [BIGINT]) - [10] 2022-11-02 16:18:50.328 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([order_id5_5_1_] : [BIGINT]) - [11] 2022-11-02 16:18:50.328 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([order_pr3_5_1_] : [INTEGER]) - [20000] 2022-11-02 16:18:50.328 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([order_id5_5_0_] : [BIGINT]) - [11] 2022-11-02 16:18:50.328 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([order_it1_5_0_] : [BIGINT]) - [13] 2022-11-02 16:18:50.328 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([order_it1_5_1_] : [BIGINT]) - [14] 2022-11-02 16:18:50.328 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([count2_5_1_] : [INTEGER]) - [3] 2022-11-02 16:18:50.328 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([item_id4_5_1_] : [BIGINT]) - [10] 2022-11-02 16:18:50.328 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([order_id5_5_1_] : [BIGINT]) - [11] 2022-11-02 16:18:50.329 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([order_pr3_5_1_] : [INTEGER]) - [30000] 2022-11-02 16:18:50.329 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([order_id5_5_0_] : [BIGINT]) - [11] 2022-11-02 16:18:50.329 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([order_it1_5_0_] : [BIGINT]) - [14] 2022-11-02 16:18:50.329 DEBUG 31332 --- [nio-8080-exec-1] org.hibernate.SQL : select item0_.item_id as item_id2_3_0_, item0_.name as name3_3_0_, item0_.price as price4_3_0_, item0_.stock_quantity as stock_qu5_3_0_, item0_.artist as artist6_3_0_, item0_.etc as etc7_3_0_, item0_.author as author8_3_0_, item0_.isbn as isbn9_3_0_, item0_.actor as actor10_3_0_, item0_.director as directo11_3_0_, item0_.dtype as dtype1_3_0_ from item item0_ where item0_.item_id=? Hibernate: select item0_.item_id as item_id2_3_0_, item0_.name as name3_3_0_, item0_.price as price4_3_0_, item0_.stock_quantity as stock_qu5_3_0_, item0_.artist as artist6_3_0_, item0_.etc as etc7_3_0_, item0_.author as author8_3_0_, item0_.isbn as isbn9_3_0_, item0_.actor as actor10_3_0_, item0_.director as directo11_3_0_, item0_.dtype as dtype1_3_0_ from item item0_ where item0_.item_id=? 2022-11-02 16:18:50.330 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicBinder : binding parameter [1] as [BIGINT] - [10] 2022-11-02 16:18:50.330 INFO 31332 --- [nio-8080-exec-1] p6spy : #1667373530330 | took 0ms | statement | connection 6| url jdbc:h2:tcp://localhost/~/jpashop select item0_.item_id as item_id2_3_0_, item0_.name as name3_3_0_, item0_.price as price4_3_0_, item0_.stock_quantity as stock_qu5_3_0_, item0_.artist as artist6_3_0_, item0_.etc as etc7_3_0_, item0_.author as author8_3_0_, item0_.isbn as isbn9_3_0_, item0_.actor as actor10_3_0_, item0_.director as directo11_3_0_, item0_.dtype as dtype1_3_0_ from item item0_ where item0_.item_id=? select item0_.item_id as item_id2_3_0_, item0_.name as name3_3_0_, item0_.price as price4_3_0_, item0_.stock_quantity as stock_qu5_3_0_, item0_.artist as artist6_3_0_, item0_.etc as etc7_3_0_, item0_.author as author8_3_0_, item0_.isbn as isbn9_3_0_, item0_.actor as actor10_3_0_, item0_.director as directo11_3_0_, item0_.dtype as dtype1_3_0_ from item item0_ where item0_.item_id=10; 2022-11-02 16:18:50.330 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([dtype1_3_0_] : [VARCHAR]) - [B] 2022-11-02 16:18:50.331 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([name3_3_0_] : [VARCHAR]) - [spring2 book] 2022-11-02 16:18:50.331 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([price4_3_0_] : [INTEGER]) - [10000] 2022-11-02 16:18:50.331 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([stock_qu5_3_0_] : [INTEGER]) - [95] 2022-11-02 16:18:50.331 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([author8_3_0_] : [VARCHAR]) - [null] 2022-11-02 16:18:50.331 TRACE 31332 --- [nio-8080-exec-1] o.h.type.descriptor.sql.BasicExtractor : extracted value ([isbn9_3_0_] : [VARCHAR]) - [null] 2022-11-02 16:18:50.331 TRACE 31332 --- [nio-8080-exec-1] org.hibernate.type.CollectionType : Created collection wrapper: [jpabook.jpashop.domain.item.Item.categories#10]      

이전 질문에도 있었는데 프록시 서버 연결이 안되는데 혹시 이유가 무엇일까요?코드를 그대로 작성해서 하여도 접속이 안되네요.ip를 1~2개가 아니라 10개 이상을 다른 것들로 해봤는데도 안되서 프록시 서버의 문제보다도 다른 문제가 있는 게 아닐까 싶어서요.(이전 문제들에 답변에는 다른 프록시 서버를 써보라고 하셔서 10개 이상 시도를 해본 뒤 질문드립니다(다른 사이트의 프록시 서버도 사용해보았습니다). 포트번호를 넣어서도 해보고 빼보고도 해보고 http도 붙여보고 별 난리를 다 해봤네요)감사합니다.+) 결과 화면감사합니다.

안녕하세요. 코루틴 관련되서 질문이 있어 질문 드리게 되었습니다.코루틴을 사용할때 GameObject를 SetActive 할 경우 actvie(false)한 뒤 다시 active(true)상태가 되면 코루틴이 작동을 하지 않는 것으로 알고 있습니다.만약 코루틴을 사용하려고 하는데 active 해야할 GameObject가 있다면 어떤식으로 사용하는 것이 가장 좋은 방법인가요?

혹시 몰라서 chmod 600 도 함 해봤는데 역시나 안되더라구요ㅠㅜbandit13 사용자 나가서 그냥 홈에서 scp -p 2220 bandit13@bandit.labs.overthewire.org:sshkey.private . 도 해봤는데 요것도 권한 거부 떠요ㅠㅜㅠ

강의에서 cross join이 full outer join이라는 설명을 들었는데요실제로 해보니 cross join은 inner join과 같은 결과를 출력하고full outer join과는 결과가 다르더라구요.혹시 뭐가 맞는걸까요?

안녕하세요!애니메이션 파라미터로 speed를 지정해주고, 코드상에서 setFloat을 사용해서 speed의 값을 이동할 때 10(_speed)으로 변경해줘도 유니티 화면에서는 강사님이 보여주신 것처럼 파라미터 값이 변하지가 않습니다.왜 그럴까요?

 @mui/x-data-grid 패키지를 사용해서 type= "time" 을 추가 해 보려고 합니다. 검색을 해보니 공식문서에서는 커스터마이징 해서 사용할수있다고 하는 글을 보았습니다.제가 필요한 time picker 부분을 추가하는 부분은 찾지 못했습니다. ㅠ.ㅠhttps://mui.com/x/react-data-grid/column-definition/#custom-column-types @mui/x-data-grid 에서 기본 제공하는 타입들은 아래와 같습니다.'string' (default)'number''date''dateTime''boolean''singleSelect''actions' 위에 보시다 시피 'time' 이 없습니다... ㅠ.ㅠ 구글링 해보니 아래 부분에https://github.com/mui/mui-x/issues/5421 글에서7월12일에 time 열이 추가 되었다고 하는것 같은데..관련된 파일이 아래 gridDateColDef.ts, gridDateOperators.ts 두가지 파일로 보이며커스터마이징이 필요할것을 보여집니다.https://github.com/mui/mui-x/blob/master/packages/grid/x-data-grid/src/colDef/gridDateColDef.tsimport { gridDateComparator } from '../hooks/features/sorting/gridSortingUtils'; import { getGridDateOperators } from './gridDateOperators'; import { GRID_STRING_COL_DEF } from './gridStringColDef'; import { GridColTypeDef } from '../models/colDef/gridColDef'; import { renderEditDateCell } from '../components/cell/GridEditDateCell'; import { GridValueFormatterParams } from '../models/params/gridCellParams'; export function gridDateFormatter({ value }: GridValueFormatterParams<Date | string>) { if (value instanceof Date) { return value.toLocaleDateString(); } return value ?? ''; } export function gridDateTimeFormatter({ value }: GridValueFormatterParams<Date | string>) { if (value instanceof Date) { return value.toLocaleString(); } return value ?? ''; } export const GRID_DATE_COL_DEF: GridColTypeDef<Date | string, string> = { ...GRID_STRING_COL_DEF, type: 'date', sortComparator: gridDateComparator, valueFormatter: gridDateFormatter, filterOperators: getGridDateOperators(), renderEditCell: renderEditDateCell, getApplyQuickFilterFn: undefined, }; export const GRID_DATETIME_COL_DEF: GridColTypeDef<Date | string, string> = { ...GRID_STRING_COL_DEF, type: 'dateTime', <======= 이 타이블 수정 sortComparator: gridDateComparator, valueFormatter: gridDateTimeFormatter, filterOperators: getGridDateOperators(true), renderEditCell: renderEditDateCell, getApplyQuickFilterFn: undefined, }; colDef 폴더에 gridDateColDef.ts 파일에서는 type 이 time 인 컬럼 속성은 보이지 않습니다.  mui x data grid 예시 파일을 열어서 아래https://codesandbox.io/s/d13q7i?file=/demo.tsx import * as React from "react"; import Box from "@mui/material/Box"; import { DataGrid, GridColTypeDef } from "@mui/x-data-grid"; import { randomStatusOptions, randomPrice, randomCreatedDate } from "@mui/x-data-grid-generator"; const rows = [ { id: 1, status: randomStatusOptions(), subTotal: randomPrice(), total: randomPrice(), date: randomCreatedDate(), time: "05:45" }, { id: 2, status: randomStatusOptions(), subTotal: randomPrice(), total: randomPrice(), date: randomCreatedDate(), time: "05:45" }, { id: 3, status: randomStatusOptions(), subTotal: randomPrice(), total: randomPrice(), date: randomCreatedDate(), time: "05:45" } ]; const currencyFormatter = new Intl.NumberFormat("en-US", { style: "currency", currency: "USD" }); const usdPrice: GridColTypeDef = { type: "number", width: 200, valueFormatter: ({ value }) => currencyFormatter.format(value), cellClassName: "font-tabular-nums" }; export default function CustomColumnTypesGrid() { return ( <Box sx={{ height: 300, width: "100%", "& .font-tabular-nums": { fontVariantNumeric: "tabular-nums" } }} > <DataGrid columns={[ { field: "status", width: 130 }, { field: "subTotal", ...usdPrice, editable: true }, { field: "total", ...usdPrice }, { field: "time", editable: true }, { field: "date", type: "dateTime", width: 200, editable: true } ]} rows={rows} /> </Box> ); }   <DataGrid columns={[ { field: "status", width: 130 }, { field: "subTotal", ...usdPrice, editable: true }, { field: "total", ...usdPrice }, { field: "time", editable: true }, { field: "date", type: "dateTime", width: 200, editable: true } ]} rows={rows} />  위에 일자와 시간을 선택할수 있는 셀렉터를 아래 time picker 만 나오도록 custumizing 할수 있는 팁을 주실수 있을까요?   

- 학습 관련 질문을 남겨주세요. 상세히 작성하면 더 좋아요! - 코드는 깃헙에 올리고 깃헙 주소를 함께 남겨주세요.- 먼저 유사한 질문이 있었는지 검색해보세요. - 서로 예의를 지키며 존중하는 문화를 만들어가요. - 잠깐! 인프런 서비스 운영 관련 문의는 1:1 문의하기를 이용해주세요. 파이어베이스 스토리지 파일업로드 버튼 눌러도 파일선택하는 윈도우가 나타나지 않는데 원인이 무엇일까요?ㅠ

- 학습 관련 질문을 남겨주세요. 상세히 작성하면 더 좋아요! - 먼저 유사한 질문이 있었는지 검색해보세요. - 서로 예의를 지키며 존중하는 문화를 만들어가요. - 잠깐! 인프런 서비스 운영 관련 문의는 1:1 문의하기를 이용해주세요.위와 같은 오류와위 오류는 swiper 강의를 듣고 소스를 추가하니까 생겼습니다.기존의 소스로 하면 저 오류가 안뜨는데 단지 swiper 소스를 추가하니까 위와 같은 오류가 뜹니다..ㅠ이러한 오류들이 뜨는데 시스템에는 지장이 없는 상황이라 뇁두고 있습니다.혹시 이유를 알 수 있을까요?? 

안녕하세요. 강의 잘 듣고 있습니다.회귀 실습 1: 자전거 대여(공유) 수요 예측 - 0110분 49초 시각화 부분에서 질문이 있는데요. Q1for 문 아래에서 저는 estimator 파라미터에 아래와 같이 mean 을 명시해주고 실행해 봤는데sns.barplot(data = bike_df, x = feature, y = 'count', estimator='mean', ax = axe[row][col])=> TypeError: 'str' object is not callable가 발생합니다. 이유가 뭔가요..? seaborn.barplot 공식 문서에도 estimator 파라미터에 'mean' 으로 적혀있는 부분이 있는데 왜 오류가 나는 걸까요?  답변 부탁드립니다.감사합니다. 

강의 제목 : 실전 반응형 웹사이트 - 넷플릭스 공식사이트(1) - 제작노트 및 필수사항 강의 URL :https://www.inflearn.com/course/%EC%9B%B9-%ED%8D%BC%EB%B8%94%EB%A6%AC%EC%8B%B1-%EC%8B%A4%EC%A0%84-%EC%8B%9C%EC%A6%8C2/unit/83803?tab=community