构建数据密集型的应用程序没有操作的负担

Var snowflake = require('snowflake-sdk');createConnectionObject = function(){/*使用var */ connection设置帐户详细信息。connect(function(err, conn)){/*添加错误检查。* /});连接。execute({sqlText: 'select * from ' + MY_DB + '.public。Test_table '， complete: function(err, stmt, rows) {for (var I = 0;我< rows.length;我+ +){console.log(行[我][COL1 '] + ', ' + 行[我][' COL2 ']);}}});} createConnectionObject ();

/*添加代码导入java.sql。连接,java.sql。DriverManager java.sql。ResultSet, java.sql。Statement, java.util.Properties */ public class JDBCExample {public static void main(String[] args) throws Exception {Properties Properties = new Properties();//使用属性设置账户信息Connection Connection = DriverManager。getConnection (MY_CONNECT_STR属性);语句语句= connection. createststatement ();ResultSet rs = statement。executeQuery("select * from test_table order by col1");while (rs.next()) {System.out.println(rs.getString(1) + "， " + rs.getString(2)); } connection.close(); } }

//使用cfg设置账户信息:= &sf.Config{…db, err:= sql. cfg if err != nil {fmt.Printf("ERROR")}= nil {fmt.Printf("ERROR")}行，err:= db。查询("SELECT col1, col2 FROM " + MY_DB + "."+“公共。test_table ORDER BY col1") defer rows. close () var c1, c2 int for rows. next () {err:= rows. next ();= nil {fmt. printf ("ERROR")} fmt. printf ("ERROR")db.Close()}

使用（idbconnection conn = new snowflablebconnection（））{//设置conn.connectionString = ... conn.open（）的帐户详细信息;idbcommand cmd = conn.createcommand（）;cmd.commandtext =“通过col1从Test_table Order中选择Col1，Col2”;Idatareader Reader = cmd.executereAreader（）;虽然（Reader.read（））{console.writeline（Reader.getString（0）+“，”+ Reader.getString（1））;conn.close（）;}

选择e.name作为“医生”,年(treatment_date)作为“年”,d.name“诊断”,总和(t.cost_per_treatment) /(分区由医生,年(treatment_date))从患者p内连接yearly_revenue treatments_applied ta内连接治疗如t内连接diagnosis_types ta d内连接员工e。patient_ID = p.ID和ta。diagnosis_ID = d.ID和ta。处理id = t.ID和e.ID = ta。doctor_ID WHERE lower(d.name) = 'python bite'——从JSON中提取的变体列名为“side_effects”和side_effects:physical。皮肤科= 'pale';