labzang

-- SQL_TEST_001
-- 전체 축구팀 목록. 이름 오름차순

SELECT TEAM_NAME
FROM TEAM
ORDER BY TEAM_NAME
;

-- SQL_TEST_002
-- 포지션 종류(중복제거,없으면 빈공간)

labzang

 routes:
        - id: user-register-service
          uri: lb://user-service
          predicates:
            - Path=/register/**
          filters:
            - RewritePath=/register/(?<segment>.*), /auth/$\{segment}
        - id: user-public-service
          uri: lb://user-service
          predicates:

labzang

services:
  zookeeper:
    image: wurstmeister/zookeeper:latest
    container_name: zookeeper
    ports:
      - “2181:2181”
    hostname: zookeeper
    networks:
      - toeicdoit-net
    restart: always

labzang

apiVersion: v1
kind: Service
metadata:
  name: toeicdoit-service
  labels:
    app: toeicdoit-service
spec:
  type: LoadBalancer
  ports:
  - name: gateway

labzang

apiVersion: apps/v1
kind: Deployment
metadata:
  name: toeicdoit-deployment
  labels:
    app: toeicdoit
spec:
  replicas: 1
  selector:
    matchLabels:

labzang

pipeline {
    agent any
	
    environment { 
        PUSH_VERSION = "1.0"
        COMPOSE_TAGNAME = 'toeicdoit'

        services = "gateway,eureka,user,chat,tx,toeic"
    }
    

labzang

package com.bitcamp.api.lab;
import java.util.*;
import java.util.stream.*;

/**
 Primitive 타입의 경우에 다른 결과를 보입니다.
 Stream.of 는 Stream<int[]>
 Arrays.stream 은 IntStream 을 반환합니다.
 * */
public class ListOfIsGood {

labzang

package matrixTest;

public class Gugudan {
    public static void main(String[] args) {
        int i = 0, j = 0;

        for(i = 1; i< 10; i++){
            for( j = 2; j < 6; j++){
                System.out.printf(" %3d * %d = %3d ", j, i, i*j);
            }

labzang

import requests as req
import json
import pandas as pd
from bs4 import BeautifulSoup as bs
def scrap():
    url = 'https://comment.daum.net/apis/v1/posts/149513756/comments?parentId=0&offset=10&limit=30&sort=RECOMMEND&isInitial=false&hasNext=true'
    res = req.get(url)
    movie_code = '149761585'
    count_url = f"https://comment.daum.net/apis/v1/comments/on/{movie_code}/flags"
    count_res = req.get(count_url)

labzang

import pandas as pd
import plotly.offline as offline
import plotly.graph_objs as go
# pip install html5lib
import requests
import json
import pandas as pd
from bs4 import BeautifulSoup
class Machine: