工作区系统表参考

2025-06-05

重要

此系统表为公共预览版。

本页介绍如何使用工作区系统表监视 Azure Databricks 帐户中的工作区。表中的每一行表示帐户中活动工作区的最新已知状态，包括元数据和生命周期状态。

与其他系统表联接时，此表最有用。可以使用它获取帐户中工作区的可靠性、性能和成本的聚合统计信息。

注释

该表仅包括帐户中当前存在的工作区。取消工作区后，将从工作区系统表中删除其行。

表路径：此表位于 system.access.workspaces_latest

工作区表架构

列名称	数据类型	DESCRIPTION	示例：
`account_id`	字符串	Databricks 帐户的 ID	`0722779a-fd4e-49c1-a7a6-8417a97cf9ea`
`workspace_id`	字符串	Databricks 工作区的 ID	'2274721051152826'
`workspace_name`	字符串	工作区的便于人阅读的名称	面团-re-mi
`workspace_url`	字符串	工作区的 URL	`https://dough-re-mi-pizza.cloud.databricks.com/`
`create_time`	时间戳	创建工作区时的时间戳（第二精度）	2025-03-05 15:47
`status`	枚举	工作区的状态。创建工作区时，它最初被设置为 `PROVISIONING` 。继续检查状态，直到状态为 `RUNNING`。	`NOT_PROVISIONED`、`PROVISIONING`、`RUNNING`、`FAILED`、`BANNED`

示例查询

以下部分包括使用工作区系统表的示例 SQL 查询。

当前正在运行哪些工作区？
哪些工作区的支出最高？
我的帐户中哪些工作最贵？

当前正在运行哪些工作区？

查询下方显示您帐户中当前处于 RUNNING 状态的所有工作区。

SELECT
    workspace_id,
    workspace_name,
    workspace_url,
    create_time
FROM
    system.access.workspaces_latest
WHERE
    status = "RUNNING";

哪些工作区的支出最高？

此查询通过过去 30 天内的支出计算帐户中的前 10 个工作区。

WITH
-- apply date filter
usage_with_ws_filtered_by_date AS (
  SELECT
    w.workspace_id,
    w.workspace_name,
    w.workspace_url,
    u.usage_quantity,
    u.usage_unit,
    u.sku_name,
    u.usage_end_time,
    u.cloud
  FROM
    system.billing.usage AS u NATURAL JOIN system.access.workspaces_latest AS w
  WHERE
    u.usage_date > DATE_ADD(CURRENT_DATE(), -30)
),
-- calc list priced usage in USD
prices AS (
  SELECT
    COALESCE(price_end_time, DATE_ADD(current_date, 1)) AS coalesced_price_end_time,
    *
  FROM
    system.billing.list_prices
  WHERE
    currency_code = 'USD'
),
list_priced_usd AS (
  SELECT
    COALESCE(u.usage_quantity * p.pricing.default, 0) as usage_usd,
    u.*
  FROM
    usage_with_ws_filtered_by_date as u
      LEFT JOIN prices AS p
        ON u.sku_name = p.sku_name
        AND u.cloud = p.cloud
        AND u.usage_unit = p.usage_unit
        AND (u.usage_end_time BETWEEN p.price_start_time AND p.coalesced_price_end_time)
)
-- calc total usage in USD
SELECT
  workspace_id,
  workspace_name,
  workspace_url,
  round(sum(usage_usd), 2) AS usage_usd
FROM
  list_priced_usd
GROUP BY
  1,
  2,
  3
ORDER BY
  4 DESC
limit 10;

帐户中的哪些作业最贵？

此查询计算过去 30 天内的帐户中费用最高的 10 个作业。

with usage_with_cost AS (
  SELECT
    *,
    t1.usage_quantity * list_prices.pricing.default as list_cost
  FROM system.billing.usage t1
  INNER JOIN system.billing.list_prices list_prices on
      t1.cloud = list_prices.cloud and
      t1.sku_name = list_prices.sku_name and
      t1.usage_start_time >= list_prices.price_start_time and
      (t1.usage_end_time <= list_prices.price_end_time or list_prices.price_end_time is null)
),
most_expensive_jobs_30d AS (
  SELECT
    workspace_id,
    usage_metadata.job_id,
    SUM(list_cost) as list_cost
  FROM usage_with_cost
  WHERE
    usage_metadata.job_id IS NOT NULL
    AND usage_date >= CURRENT_DATE() - INTERVAL 30 DAYS
  GROUP BY ALL
  ORDER BY list_cost DESC
  LIMIT 100
),
latest_jobs AS (
  SELECT
    *,
    ROW_NUMBER() OVER (PARTITION BY workspace_id, job_id ORDER BY change_time DESC) as rn
  FROM system.lakeflow.jobs QUALIFY rn=1
)
SELECT
  t1.workspace_id,
  t2.workspace_name,
  t3.name as job_name,
  CONCAT(
    t2.workspace_url, '/jobs/', t1.job_id
  ) as job_url,
  t1.list_cost
FROM most_expensive_jobs_30d t1
LEFT JOIN  system.access.workspaces_latest t2 using (workspace_id)
LEFT JOIN latest_jobs t3 USING (workspace_id, job_id)
ORDER BY list_cost DESC
LIMIT 10;

通过