
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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