解釋
適用于: Databricks SQL Databricks Runtime
提供輸入語句的邏輯或實體計畫。 根據預設,這個子句只會提供實體計畫的相關資訊。
語法
EXPLAIN [ EXTENDED | CODEGEN | COST | FORMATTED ] statement
參數
擴展
產生剖析的邏輯計畫、分析的邏輯計畫、優化的邏輯計畫和實體計畫。 剖析的邏輯計畫是從查詢中擷取的未解析計畫。 分析的邏輯計畫會轉換,將未解析的Attribute 和 unresolvedRelation 轉譯成完全型別的物件。 優化邏輯計畫會透過一組優化規則來轉換,進而產生實體計畫。
CODEGEN
如果有任何和實體計畫,則為 語句產生程式碼。
成本
如果有可用的計畫節點統計資料,則會產生邏輯計畫和統計資料。
格式 化
產生兩個區段:實體計畫大綱和節點詳細資料。
聲明
要說明的 SQL 語句。
例子
-- Default Output
> EXPLAIN select k, sum(v) from values (1, 2), (1, 3) t(k, v) group by k;
+----------------------------------------------------+
| plan|
+----------------------------------------------------+
| == Physical Plan ==
*(2) HashAggregate(keys=[k#33], functions=[sum(cast(v#34 as bigint))])
+- Exchange hashpartitioning(k#33, 200), true, [id=#59]
+- *(1) HashAggregate(keys=[k#33], functions=[partial_sum(cast(v#34 as bigint))])
+- *(1) LocalTableScan [k#33, v#34]
|
+----------------------------------------------------
-- Using Extended
> EXPLAIN EXTENDED select k, sum(v) from values (1, 2), (1, 3) t(k, v) group by k;
+----------------------------------------------------+
| plan|
+----------------------------------------------------+
| == Parsed Logical Plan ==
'Aggregate ['k], ['k, unresolvedalias('sum('v), None)]
+- 'SubqueryAlias `t`
+- 'UnresolvedInlineTable [k, v], [List(1, 2), List(1, 3)]
== Analyzed Logical Plan ==
k: int, sum(v): bigint
Aggregate [k#47], [k#47, sum(cast(v#48 as bigint)) AS sum(v)#50L]
+- SubqueryAlias `t`
+- LocalRelation [k#47, v#48]
== Optimized Logical Plan ==
Aggregate [k#47], [k#47, sum(cast(v#48 as bigint)) AS sum(v)#50L]
+- LocalRelation [k#47, v#48]
== Physical Plan ==
*(2) HashAggregate(keys=[k#47], functions=[sum(cast(v#48 as bigint))], output=[k#47, sum(v)#50L])
+- Exchange hashpartitioning(k#47, 200), true, [id=#79]
+- *(1) HashAggregate(keys=[k#47], functions=[partial_sum(cast(v#48 as bigint))], output=[k#47, sum#52L])
+- *(1) LocalTableScan [k#47, v#48]
|
+----------------------------------------------------+
-- Using Formatted
> EXPLAIN FORMATTED select k, sum(v) from values (1, 2), (1, 3) t(k, v) group by k;
+----------------------------------------------------+
| plan|
+----------------------------------------------------+
| == Physical Plan ==
* HashAggregate (4)
+- Exchange (3)
+- * HashAggregate (2)
+- * LocalTableScan (1)
(1) LocalTableScan [codegen id : 1]
Output: [k#19, v#20]
(2) HashAggregate [codegen id : 1]
Input: [k#19, v#20]
(3) Exchange
Input: [k#19, sum#24L]
(4) HashAggregate [codegen id : 2]
Input: [k#19, sum#24L]
|
+----------------------------------------------------+