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 '，完成:函数(err, stmt, rows) {for (var I = 0;我< rows.length;我+ +){console.log(行[我][COL1 '] + ', ' + 行[我][' COL2 ']);}}});} createConnectionObject ();

/*添加导入java.sql的代码。连接,java.sql。DriverManager java.sql。ResultSet, java.sql。java.util.Properties */ public class JDBCExample {public static void main(String[] args) throws Exception {Properties Properties = new Properties();//使用property .put(…Connection Connection = DriverManager。getConnection (MY_CONNECT_STR属性);语句语句= connection.createStatement();语句。executeQuery("select * from test_table order by col1");while (rs.next()) {System.out.println(rs.getString(1) + "， " + rs.getString(2)); } connection.close(); } }

包main import ("database/sql" "fmt" sf "github.com/snowflakedb/gosnowflake") func main(){//使用cfg设置帐户详情:= &sf.Config{…if err != nil {fmt.Printf("ERROR")} db, err:= sql. cfg;打开("雪花"，dsn) if err != 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。扫描(&c1， &c2) if err != nil {fmt. printf ("ERROR")} fmt。Printf("%d， %dn"， c1, c2)} db.Close()}

using (IDbConnection conn = new SnowflakeDbConnection()){//设置帐户详细信息使用conn. connectionstring =…conn.Open ();IDbCommand cmd = conn.CreateCommand();cmd。CommandText = "SELECT col1, col2 FROM test_table ORDER BY col1";idatreader reader = cmd.ExecuteReader();while(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 and ta。treatment_ID = t.ID和e.ID = ta。doctor_ID WHERE lower(d.name) = 'python bite'——从名为"side_effects"和side_effects:physical的VARIANT列中提取JSON。皮肤= '苍白' ORDER BY doctor, year(treatment_date);