apache-spark - 如何在 spark jdbc 中使用 subselect 对查询进行分区

Question

我正在尝试在 spark jdbc 中执行按日期划分的查询 sql。我已经看到了许多带有单个表的示例，但是如何在带有过滤器的子选择的查询中做到这一点？

查询示例：

select
    col1, col2
from table
inner join 
    (
        select col1, col2 from table2 where {partitionColumn} > ? and  {partitionColumn} < ?
    ) as table2ToBeFiltered

代码java示例：

this.sparkSession.read()
    .format("jdbc")
    // what could I put here?
    .option("partitionColumn", "name of col in subselect") 
    .option("lowerBound", "2021-01-01")
    .option("upperBound", "2021-02-04")
    .option("numPartitions", 4)
    .option("oracle.jdbc.mapDateToTimestamp", "false")
    .option("sessionInitStatement", "ALTER SESSION SET NLS_DATE_FORMAT = 'YYYY-MM-DD'")
     // what could I put here?
    .option("dbtable", "how to use select with subselect and joins and partition by specific col")
    .load();

有没有办法做到这一点？