从补丁 198 开始，Amazon Redshift 将不再支持创建新的 Python UDF。现有的 Python UDF 将继续正常运行至 2026 年 6 月 30 日。有关更多信息，请参阅[博客文章](https://aws.amazon.com/blogs/big-data/amazon-redshift-python-user-defined-functions-will-reach-end-of-support-after-june-30-2026/)。

# SVV\$1INTEGRATION\$1TABLE\$1STATE
<a name="r_SVV_INTEGRATION_TABLE_STATE"></a>

SVV\$1INTEGRATION\$1TABLE\$1STATE 显示有关表级集成信息的详情。

SVV\$1INTEGRATION\$1TABLE\$1STATE 仅对超级用户可见。有关更多信息，请参阅 [系统表和视图中的数据可见性](cm_chap_system-tables.md#c_visibility-of-data)。

有关更多信息，请参阅 [Zero-ETL integrations](https://docs.aws.amazon.com/redshift/latest/mgmt/zero-etl-using.html)。

## 表列
<a name="r_SVV_INTEGRATION_TABLE_STATE-table-columns"></a>

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

## 示例查询
<a name="r_SVV_INTEGRATION_TABLE_STATE-sample-queries"></a>

以下 SQL 命令显示集成日志的列。

```
select * from svv_integration_table_state;

          integration_id              | target_database | schema_name |     table_name    | table_state  |table_last_replicated_checkpoint | reason | last_updated_timestamp     |table_rows  | table_size | is_history_mode 
--------------------------------------+-----------------+-------------+-------------------+--------------+---------------------------------+--------+----------------------------+------------+------------+-----------------
 4798e675-8f9f-4686-b05f-92c538e19629 |  sample_test2   |    sample   | SampleTestChannel |    Synced    |   {"txn_seq":3,"txn_id":3122}   |        | 2023-05-12 12:40:30.656625 | 2          |   16       | f
```