1.方式一
// 计算iopv Table calculateTable = tableEnv.sqlQuery("select n" + " fund_code,n" + " (sum_cash+sum_creation_cash_substitute+estimate_cash_component)/creation_redemption_unit as real_time_iopv,n" + " CURRENT_TIMESTAMP as computation_time n" + " from " + checkTable); TableResult tableResult = tableEnv.executeSql(" explain select * from " + calculateTable); tableResult.print();
2.方式二
// 维表 join Table dimJoin = tableEnv.sqlQuery( "select " + "proctime,update_time,last_price, pc.underlying_security_id,pc.fund_code,pc.trading_day," + "pl.creation_redemption_unit,pc.creation_cash_substitute,pl.estimate_cash_component," + " pc.substitute_flag,pc.substitute_flag,pc.component_share " + " from " + sourceTable + " as hsh left join " + pcfComponents + " FOR SYSTEM_TIME AS OF hsh.proctime as pc on hsh.prod_code=pc.underlying_security_id" + " left join " + pcfList + " FOR SYSTEM_TIME AS OF hsh.proctime as pl on pl.fund_code=pc.fund_code" + " where pl.trading_day in ('2021-12-31') " + // " and pc.underlying_security_id <> '159900' and pc.creation_cash_substitute is not null "+ " and index <> 'true' " ); String sql = tableEnv.explainSql("select * from " + dimJoin); System.out.println(sql);
3.方式三
// 老版本 tableEnv.explain(Table类型) // 新版本 flink 1.13 tableEnv.explainSql("select 字符串")
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