GROUPBY PIPELINED 查询计划

如果投影已按 customer_gender 列排序，优化器将选择更快的 GROUPBY PIPELINED 操作：

 => EXPLAIN SELECT COUNT(distinct customer_gender) from customer_dimension;
Access Path:
 +-GROUPBY NOTHING [Cost: 22, Rows: 1] (PATH ID: 1)
 |  Aggregates: count(DISTINCT customer_dimension.customer_gender)
 |  Execute on: Query Initiator
 | +---> GROUPBY PIPELINED [Cost: 20, Rows: 10K] (PATH ID: 2)
 | |      Group By: customer_dimension.customer_gender
 | |      Execute on: Query Initiator
 | | +---> STORAGE ACCESS for customer_dimension [Cost: 17, Rows: 50K (3 RLE)] (PATH ID: 3)
 | | |      Projection: public.customer_dimension_DBD_1_rep_vmartdb_design_vmartdb_design_node0001
 | | |      Materialize: customer_dimension.customer_gender
 | | |      Execute on: Query Initiator

同样，使用相等谓词（如在以下查询中）将保留 GROUPBY PIPELINED：

=> EXPLAIN SELECT COUNT(DISTINCT annual_income)    FROM customer_dimension
   WHERE customer_gender = 'Female';

 Access Path: +-GROUPBY NOTHING [Cost: 161, Rows: 1] (PATH ID: 1)
 |  Aggregates: count(DISTINCT customer_dimension.annual_income)
 | +---> GROUPBY PIPELINED [Cost: 158, Rows: 10K] (PATH ID: 2)
 | |      Group By: customer_dimension.annual_income
 | | +---> STORAGE ACCESS for customer_dimension [Cost: 144, Rows: 47K] (PATH ID: 3)
 | | |      Projection: public.customer_dimension_DBD_1_rep_vmartdb_design_vmartdb_design_node0001
 | | |      Materialize: customer_dimension.annual_income
 | | |      Filter: (customer_dimension.customer_gender = 'Female')