

 Amazon Redshift 將不再支援從修補程式 198 開始建立新的 Python UDFs。現有 Python UDF 將繼續正常運作至 2026 年 6 月 30 日。如需詳細資訊，請參閱[部落格文章](https://aws.amazon.com/blogs/big-data/amazon-redshift-python-user-defined-functions-will-reach-end-of-support-after-june-30-2026/)。

本文為英文版的機器翻譯版本，如內容有任何歧義或不一致之處，概以英文版為準。

# SYS\_QUERY\_DETAIL
<a name="SYS_QUERY_DETAIL"></a>

使用 SYS\_QUERY\_DETAIL 來檢視各種指標層級的查詢詳細資訊，其中每一列代表特定指標層級的特定 WLM 查詢的詳細資訊。此檢視包含許多類型的查詢，例如 DDL、DML 和公用程式命令 (例如，複製和卸載)。根據查詢類型的不同，某些欄可能不相關。例如，external\_scanned\_bytes 與內部資料表不相關。

所有使用者都可看見 SYS\_QUERY\_DETAIL。超級使用者可以看見所有資料列；一般使用者只能看見自己的資料。如需詳細資訊，請參閱[系統資料表和檢視中資料的可見性](cm_chap_system-tables.md#c_visibility-of-data)。

**注意**  
若要驗證包含已執行查詢的交易是否已成功認可，您需要在系統資料表與 `sys_transaction_history` 資料表之間執行聯結操作。例如：  

```
SELECT 
    th.transaction_id,
    qd.query_id,
    th.status AS transaction_status
FROM 
    sys_query_detail qd
LEFT JOIN sys_query_history qh ON qd.query_id = qh.query_id
LEFT JOIN sys_transaction_history th on qh.transaction_id = th.transaction_id;
```

## 資料表欄
<a name="SYS_QUERY_DETAIL-table-columns"></a>

[See the AWS documentation website for more details](http://docs.aws.amazon.com/zh_tw/redshift/latest/dg/SYS_QUERY_DETAIL.html)

## 使用須知
<a name="SYS_QUERY_DETAIL-usage-notes"></a>

SYS\_QUERY\_DETAIL 可包含步驟、串流、區段和子查詢層級的指標。除了參考 metrics\_level 欄之外，您還可以根據下表參考 step\_id、segment\_id 和 stream\_id 欄位，以查看某一列顯示的指標層級。

[See the AWS documentation website for more details](http://docs.aws.amazon.com/zh_tw/redshift/latest/dg/SYS_QUERY_DETAIL.html)

## 範例查詢
<a name="SYS_QUERY_DETAIL-sample-queries"></a>

下列範例會傳回 SYS\_QUERY\_DETAIL 的輸出。

以下查詢顯示步驟層級的查詢中繼資料詳細資訊，包括步驟名稱、input\_bytes、output\_bytes、input\_rows、output\_rows。

```
SELECT query_id,
       child_query_sequence,
       stream_id,
       segment_id,
       step_id,
       trim(step_name) AS step_name,
       duration,
       input_bytes,
       output_bytes,
       input_rows,
       output_rows
FROM sys_query_detail
WHERE query_id IN (193929)
ORDER BY query_id,
         stream_id,
         segment_id,
         step_id DESC;
```

輸出範例。

```
 query_id | child_query_sequence | stream_id | segment_id | step_id | step_name  |    duration     | input_bytes | output_bytes | input_rows | output_rows
----------+----------------------+-----------+------------+---------+------------+-----------------+-------------+--------------+------------+-------------
   193929 |                    2 |         0 |          0 |       3 | hash       |           37144 |           0 |      9350272 |          0 |      292196
   193929 |                    5 |         0 |          0 |       3 | hash       |            9492 |           0 |        23360 |          0 |        1460
   193929 |                    1 |         0 |          0 |       3 | hash       |           46809 |           0 |      9350272 |          0 |      292196
   193929 |                    4 |         0 |          0 |       2 | return     |            7685 |           0 |          896 |          0 |         112
   193929 |                    1 |         0 |          0 |       2 | project    |           46809 |           0 |            0 |          0 |      292196
   193929 |                    2 |         0 |          0 |       2 | project    |           37144 |           0 |            0 |          0 |      292196
   193929 |                    5 |         0 |          0 |       2 | project    |            9492 |           0 |            0 |          0 |        1460
   193929 |                    3 |         0 |          0 |       2 | return     |           11033 |           0 |        14336 |          0 |         112
   193929 |                    2 |         0 |          0 |       1 | project    |           37144 |           0 |            0 |          0 |      292196
   193929 |                    1 |         0 |          0 |       1 | project    |           46809 |           0 |            0 |          0 |      292196
   193929 |                    5 |         0 |          0 |       1 | project    |            9492 |           0 |            0 |          0 |        1460
   193929 |                    3 |         0 |          0 |       1 | aggregate  |           11033 |           0 |       201488 |          0 |          14
   193929 |                    4 |         0 |          0 |       1 | aggregate  |            7685 |           0 |        28784 |          0 |          14
   193929 |                    5 |         0 |          0 |       0 | scan       |            9492 |           0 |        23360 |     292196 |        1460
   193929 |                    4 |         0 |          0 |       0 | scan       |            7685 |           0 |         1344 |        112 |         112
   193929 |                    2 |         0 |          0 |       0 | scan       |           37144 |           0 |      7304900 |     292196 |      292196
   193929 |                    3 |         0 |          0 |       0 | scan       |           11033 |           0 |        13440 |        112 |         112
   193929 |                    1 |         0 |          0 |       0 | scan       |           46809 |           0 |      7304900 |     292196 |      292196
   193929 |                    5 |         0 |          0 |      -1 |            |            9492 |       12288 |            0 |          0 |           0
   193929 |                    1 |         0 |          0 |      -1 |            |           46809 |       16384 |            0 |          0 |           0
   193929 |                    2 |         0 |          0 |      -1 |            |           37144 |       16384 |            0 |          0 |           0
   193929 |                    4 |         0 |          0 |      -1 |            |            7685 |       28672 |            0 |          0 |           0
   193929 |                    3 |         0 |          0 |      -1 |            |           11033 |      114688 |            0 |          0 |           0
```

若要檢視資料庫中的資料表，從最常用到最少使用的順序，請使用下列範例。用您自己的資料庫取代 {{sample\_data\_dev}}。請注意，此查詢將在建立叢集時開始計算查詢，但是當資料倉儲缺少空間時，系統檢視資料不會儲存。

```
SELECT table_name, COUNT (DISTINCT query_id) 
FROM SYS_QUERY_DETAIL 
WHERE table_name LIKE 'sample_data_dev%'
GROUP BY table_name
ORDER BY COUNT(*) DESC;

+---------------------------------+-------+
|           table_name            | count |
+---------------------------------+-------+
| sample_data_dev.tickit.venue    |     4 |
| sample_data_dev.myunload1.venue |     3 |
| sample_data_dev.tickit.listing  |     1 |
| sample_data_dev.tickit.category |     1 |
| sample_data_dev.tickit.users    |     1 |
| sample_data_dev.tickit.date     |     1 |
| sample_data_dev.tickit.sales    |     1 |
| sample_data_dev.tickit.event    |     1 |
+---------------------------------+-------+
```

 下列範例顯示單一 WLM 查詢的各種指標層級。

```
SELECT query_id, child_query_sequence, stream_id, segment_id, step_id, step_name, start_time, end_time, metrics_level 
FROM sys_query_detail 
WHERE query_id = 1553 AND step_id = -1 
ORDER BY stream_id, segment_id, step_id;

 query_id | child_query_sequence | stream_id | segment_id | step_id | step_name |         start_time         |          end_time          | metrics_level 
----------+----------------------+-----------+------------+---------+-----------+----------------------------+----------------------------+---------------
     1553 |                    1 |        -1 |         -1 |      -1 |           | 2024-10-17 02:28:49.814721 | 2024-10-17 02:28:49.847838 | child query
     1553 |                    1 |         0 |         -1 |      -1 |           | 2024-10-17 02:28:49.814721 | 2024-10-17 02:28:49.835609 | stream
     1553 |                    1 |         0 |          0 |      -1 |           | 2024-10-17 02:28:49.824677 | 2024-10-17 02:28:49.830372 | segment
     1553 |                    1 |         1 |         -1 |      -1 |           | 2024-10-17 02:28:49.835624 | 2024-10-17 02:28:49.845773 | stream
     1553 |                    1 |         1 |          1 |      -1 |           | 2024-10-17 02:28:49.84088  | 2024-10-17 02:28:49.842388 | segment
     1553 |                    1 |         1 |          2 |      -1 |           | 2024-10-17 02:28:49.835926 | 2024-10-17 02:28:49.844396 | segment
     1553 |                    1 |         2 |         -1 |      -1 |           | 2024-10-17 02:28:49.846949 | 2024-10-17 02:28:49.847838 | stream
     1553 |                    1 |         2 |          3 |      -1 |           | 2024-10-17 02:28:49.847013 | 2024-10-17 02:28:49.847485 | segment
(8 rows)
```