maropu opened a new pull request #25710: [SPARK-29008][SQL] Define an 
individual method for each common subexpression in HashAggregateExec
URL: https://github.com/apache/spark/pull/25710
 
 
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   ### What changes were proposed in this pull request?
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   This pr proposes to define an individual method for each common 
subexpression in HashAggregateExec. In the current master, the common subexpr 
elimination code in HashAggregateExec is expanded in a single method; 
https://github.com/apache/spark/blob/4664a082c2c7ac989e818958c465c72833d3ccfe/sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/HashAggregateExec.scala#L397
   
   The method size can be too big for JIT compilation, so I believe splitting 
it is beneficial for performance. For example, in a query `SELECT SUM(a + b), 
AVG(a + b + c) FROM VALUES (1, 1, 1) t(a, b, c)`,
   
   the current master generates;
   ```
   /* 098 */   private void agg_doConsume_0(InternalRow localtablescan_row_0, 
int agg_expr_0_0, int agg_expr_1_0, int agg_expr_2_0) throws 
java.io.IOException {
   /* 099 */     // do aggregate
   /* 100 */     // common sub-expressions
   /* 101 */     int agg_value_6 = -1;
   /* 102 */
   /* 103 */     agg_value_6 = agg_expr_0_0 + agg_expr_1_0;
   /* 104 */
   /* 105 */     int agg_value_5 = -1;
   /* 106 */
   /* 107 */     agg_value_5 = agg_value_6 + agg_expr_2_0;
   /* 108 */     boolean agg_isNull_4 = false;
   /* 109 */     long agg_value_4 = -1L;
   /* 110 */     if (!false) {
   /* 111 */       agg_value_4 = (long) agg_value_5;
   /* 112 */     }
   /* 113 */     int agg_value_10 = -1;
   /* 114 */
   /* 115 */     agg_value_10 = agg_expr_0_0 + agg_expr_1_0;
   /* 116 */     // evaluate aggregate functions and update aggregation buffers
   /* 117 */     agg_doAggregate_sum_0(agg_value_10);
   /* 118 */     agg_doAggregate_avg_0(agg_value_4, agg_isNull_4);
   /* 119 */
   /* 120 */   }
   ```
   
   On the other hand, this pr generates;
   ```
   /* 102 */   private void agg_doConsume_0(InternalRow localtablescan_row_0, 
int agg_expr_0_0, int agg_expr_1_0, int agg_expr_2_0) throws 
java.io.IOException {
   /* 103 */     // do aggregate
   /* 104 */     // common sub-expressions
   /* 105 */     agg_subExpr_0(agg_expr_2_0, agg_expr_0_0, agg_expr_1_0);
   /* 106 */     agg_subExpr_1(agg_expr_0_0, agg_expr_1_0);
   /* 107 */     // evaluate aggregate functions and update aggregation buffers
   /* 108 */     agg_doAggregate_sum_0();
   /* 109 */     agg_doAggregate_avg_0();
   /* 110 */
   /* 111 */   }
   ```
   
   Here are benchmark numbers;
   ```
   scala> val numCols = 40
   scala> val colExprs = "id AS key" +: (0 until numCols).map { i => s"id AS 
_c$i" }
   scala> spark.range(3000000).selectExpr(colExprs: 
_*).createOrReplaceTempView("t")
   scala> val aggExprs = (2 until numCols).map { i =>
     (0 until i).map(d => s"_c$d")
       .mkString("AVG(", " + ", ")")
   }
   
   scala> sql(s"SELECT ${aggExprs.mkString(", ")} FROM 
t").write.format("noop").save() 
   // the current master
   Elapsed time: 47.920266373s  
   // this pr
   Elapsed time: 2.68357932s   
   ```
   
   ### Why are the changes needed?
   <!--
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     1. If you propose a new API, clarify the use case for a new API.
     2. If you fix a bug, you can clarify why it is a bug.
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   To improve performance numbers for hash aggregates.
   
   ### Does this PR introduce any user-facing change?
   <!--
   If yes, please clarify the previous behavior and the change this PR proposes 
- provide the console output, description and/or an example to show the 
behavior difference if possible.
   If no, write 'No'.
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   No.
   
   ### How was this patch tested?
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it was difficult to add.
   -->
   Added tests in `WholeStageCodegenSuite`
   

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