Google bigquery 在我的日内桌上放上所有的东西

我已经看过几个例子，但我不知道如何将我的查询格式化为一个合并了日内表的联合。TABLE_后缀很好地抓取了我所有的日常表格，但我还需要抓取intraday

smarttruck-6d137.com\u usinc\u android\u android.app\u events\u intraday.*

。有人能帮我处理一下这个项目的所有格式吗？多谢各位

SELECT
  event_dim.date AS Date,
  (
  SELECT
    value.value.string_value
  FROM
    UNNEST(user_dim.user_properties)
  WHERE
    key = 'imei_id') AS IMEI,
  (
  SELECT
    value.value.string_value
  FROM
    UNNEST(user_dim.user_properties)
  WHERE
    key = 'division_id') AS Branch,
  (
  SELECT
    value.value.string_value
  FROM
    UNNEST(user_dim.user_properties)
  WHERE
    key = 'truck_id') AS Truck,
  (
  SELECT
    value.value.string_value
  FROM
    UNNEST(user_dim.user_properties)
  WHERE
    key = 'installer_id') AS Installer,
  COUNT(*) AS Count
FROM
  `smarttruck-6d137.com_usiinc_android_ANDROID.app_events_*`
CROSS JOIN
  UNNEST(event_dim) AS event_dim
WHERE
  event_dim.name = 'app_exception'
  AND EXISTS (
  SELECT
    1
  FROM
    UNNEST(event_dim.params)
  WHERE
    key = 'fatal'
    AND value.int_value = 1 )
  AND _TABLE_SUFFIX = Date
GROUP BY
  Date,
  IMEI,
  Branch,
  Truck,
  Installer
ORDER BY
  Date DESC,
  Count DESC;

---

我想这是我自己弄明白的。通过删除where子句中的_TABLE_SUFFIX=Date，BQ也使用了通配符来获取我的日内表。我不会假装我完全理解这为什么有效，但它确实有效。如果你能解释，请插话

标准SQL

SELECT
  event_dim.date AS Date,
  (
  SELECT
    value.value.string_value
  FROM
    UNNEST(user_dim.user_properties)
  WHERE
    key = 'imei_id') AS IMEI,
  (
  SELECT
    value.value.string_value
  FROM
    UNNEST(user_dim.user_properties)
  WHERE
    key = 'division_id') AS Branch,
  (
  SELECT
    value.value.string_value
  FROM
    UNNEST(user_dim.user_properties)
  WHERE
    key = 'truck_id') AS Truck,
  (
  SELECT
    value.value.string_value
  FROM
    UNNEST(user_dim.user_properties)
  WHERE
    key = 'installer_id') AS Installer,
  COUNT(*) AS Count
FROM
  `smarttruck-6d137.com_usiinc_android_ANDROID.app_events_*`
CROSS JOIN
  UNNEST(event_dim) AS event_dim
WHERE
  event_dim.name = 'app_exception'
  AND EXISTS (
  SELECT
    1
  FROM
    UNNEST(event_dim.params)
  WHERE
    key = 'fatal'
    AND value.int_value = 1 )
GROUP BY
  Date,
  IMEI,
  Branch,
  Truck,
  Installer
ORDER BY
  Date DESC,
  Count DESC;

---

我想这是我自己弄明白的。通过删除where子句中的_TABLE_SUFFIX=Date，BQ也使用了通配符来获取我的日内表。我不会假装我完全理解这为什么有效，但它确实有效。如果你能解释，请插话

标准SQL

SELECT
  event_dim.date AS Date,
  (
  SELECT
    value.value.string_value
  FROM
    UNNEST(user_dim.user_properties)
  WHERE
    key = 'imei_id') AS IMEI,
  (
  SELECT
    value.value.string_value
  FROM
    UNNEST(user_dim.user_properties)
  WHERE
    key = 'division_id') AS Branch,
  (
  SELECT
    value.value.string_value
  FROM
    UNNEST(user_dim.user_properties)
  WHERE
    key = 'truck_id') AS Truck,
  (
  SELECT
    value.value.string_value
  FROM
    UNNEST(user_dim.user_properties)
  WHERE
    key = 'installer_id') AS Installer,
  COUNT(*) AS Count
FROM
  `smarttruck-6d137.com_usiinc_android_ANDROID.app_events_*`
CROSS JOIN
  UNNEST(event_dim) AS event_dim
WHERE
  event_dim.name = 'app_exception'
  AND EXISTS (
  SELECT
    1
  FROM
    UNNEST(event_dim.params)
  WHERE
    key = 'fatal'
    AND value.int_value = 1 )
GROUP BY
  Date,
  IMEI,
  Branch,
  Truck,
  Installer
ORDER BY
  Date DESC,
  Count DESC;

---

检查这是否适用于您：

SELECT
  event_dim.date AS Date,
  (
  SELECT
    value.value.string_value
  FROM
    UNNEST(user_dim.user_properties)
  WHERE
    key = 'imei_id') AS IMEI,
  (
  SELECT
    value.value.string_value
  FROM
    UNNEST(user_dim.user_properties)
  WHERE
    key = 'division_id') AS Branch,
  (
  SELECT
    value.value.string_value
  FROM
    UNNEST(user_dim.user_properties)
  WHERE
    key = 'truck_id') AS Truck,
  (
  SELECT
    value.value.string_value
  FROM
    UNNEST(user_dim.user_properties)
  WHERE
    key = 'installer_id') AS Installer,
  COUNT(*) AS Count
FROM
  `smarttruck-6d137.com_usiinc_android_ANDROID.app_events_*`
CROSS JOIN
  UNNEST(event_dim) AS event_dim
WHERE
  event_dim.name = 'app_exception'
  AND EXISTS (
  SELECT
    1
  FROM
    UNNEST(event_dim.params)
  WHERE
    key = 'fatal'
    AND value.int_value = 1 )
  AND REGEXP_EXTRACT(_TABLE_SUFFIX, r'(\d+)') BETWEEN '20170807' and '20170809'
GROUP BY
  Date,
  IMEI,
  Branch,
  Truck,
  Installer
ORDER BY
  Date DESC,
  Count DESC;

您可以更改我在选择中使用的日期，以确定最适合您的日期

如果您将在DataStudio中使用该查询，我倾向于基于今天的日期和返回时间的天数创建一个日期范围。例如：

AND REGEXP_EXTRACT(_TABLE_SUFFIX, r'(\d+)') BETWEEN FORMAT_DATE("%Y%m%d", DATE_SUB(CURRENT_DATE(), INTERVAL 30 DAY)) and FORMAT_DATE("%Y%m%d", DATE_SUB(CURRENT_DATE(), INTERVAL 0 DAY))

---

这将自动查询从今天算起的过去30天。您可以根据data studio报表中最有效的内容调整此查询。

检查此查询是否适用于您：

SELECT
  event_dim.date AS Date,
  (
  SELECT
    value.value.string_value
  FROM
    UNNEST(user_dim.user_properties)
  WHERE
    key = 'imei_id') AS IMEI,
  (
  SELECT
    value.value.string_value
  FROM
    UNNEST(user_dim.user_properties)
  WHERE
    key = 'division_id') AS Branch,
  (
  SELECT
    value.value.string_value
  FROM
    UNNEST(user_dim.user_properties)
  WHERE
    key = 'truck_id') AS Truck,
  (
  SELECT
    value.value.string_value
  FROM
    UNNEST(user_dim.user_properties)
  WHERE
    key = 'installer_id') AS Installer,
  COUNT(*) AS Count
FROM
  `smarttruck-6d137.com_usiinc_android_ANDROID.app_events_*`
CROSS JOIN
  UNNEST(event_dim) AS event_dim
WHERE
  event_dim.name = 'app_exception'
  AND EXISTS (
  SELECT
    1
  FROM
    UNNEST(event_dim.params)
  WHERE
    key = 'fatal'
    AND value.int_value = 1 )
  AND REGEXP_EXTRACT(_TABLE_SUFFIX, r'(\d+)') BETWEEN '20170807' and '20170809'
GROUP BY
  Date,
  IMEI,
  Branch,
  Truck,
  Installer
ORDER BY
  Date DESC,
  Count DESC;

您可以更改我在选择中使用的日期，以确定最适合您的日期

如果您将在DataStudio中使用该查询，我倾向于基于今天的日期和返回时间的天数创建一个日期范围。例如：

AND REGEXP_EXTRACT(_TABLE_SUFFIX, r'(\d+)') BETWEEN FORMAT_DATE("%Y%m%d", DATE_SUB(CURRENT_DATE(), INTERVAL 30 DAY)) and FORMAT_DATE("%Y%m%d", DATE_SUB(CURRENT_DATE(), INTERVAL 0 DAY))

---

这将自动查询从今天算起的过去30天。您可以根据data studio报表中最有效的内容调整此查询。

是否需要在结果中区分这两个表？或者将它们视为一个公共表就足够了？一个公共表就可以了。您需要在结果中区分这两个表吗？或者将它们视为一个公共表就足够了吗？公共表可以。只需确保您没有通过删除范围筛选条件来选择整个数据集即可。检查运行此查询时将处理多少数据。这里发生的是

*

匹配两种后缀，例如

20170807

和

intraday\u 20170807

。威尔的答案是使用正则表达式提取后缀的日期部分。谢谢你们，我知道你们要去哪里了。然而，这不只是我约会范围内的硬编码吗？我将在Data Studio中使用此选项，因此我希望根据用户输入更改日期。请确保您没有通过删除范围筛选条件来选择整个数据集。检查运行此查询时将处理多少数据。这里发生的是

*

匹配两种后缀，例如

20170807

和

intraday\u 20170807

。威尔的答案是使用正则表达式提取后缀的日期部分。谢谢你们，我知道你们要去哪里了。然而，这不只是我约会范围内的硬编码吗？我将在DataStudio中使用它，因此我希望根据用户输入更改日期。另一个选项（而不是正则表达式）是使用

SUBSTR（_TABLE_后缀，LENGTH（_TABLE_后缀）-7）

，但两者都可以正常工作。@ElliottBrossard酷技术！我也会尝试一下well@WillianFuks美丽的。谢谢。另一个选项（而不是正则表达式）是使用

SUBSTR（\u TABLE\u后缀，LENGTH（\u TABLE\u后缀）-7）

，但两者都可以使用。@ElliottBrossard很酷的技术！我也会尝试一下well@WillianFuks美丽的。非常感谢。