docs: update remote write special labels

docs/user-guide/ingest-data/for-observability/prometheus.md

@@ -223,17 +223,17 @@ There labels (along with there values) will turn into ingest options during the
 The labels are not mutually exclusive, so they can be combined together to produce more versatile controlling.
 
 Here is a representative diagram of special labels for a metric. Note this is not the actual data model of a metric.
-| `__name__`       | `__database__` | `__physical_table__` | `pod_name_label`    | `__normal_label_with_underscore_prefix__` | `timestamp`             | `value` |
-|------------------|----------------|----------------------|---------------------|-------------------------------------------|-------------------------|---------|
-| some_metric_name | public         | p_1                  | random_k8s_pod_name | true                                      | 2025-06-17 16:31:52.000 | 12.1    |
+| `__name__`         | `x_greptime_database`   | `x_greptime_physical_table`   | `pod_name_label`      | `__normal_label_with_underscore_prefix__`   | `timestamp`               | `value`   |
+|--------------------|-------------------------|-------------------------------|-----------------------|---------------------------------------------|---------------------------|-----------|
+| `some_metric_name` | `public`                | `p_1`                         | `random_k8s_pod_name` | `true`                                      | `2025-06-17 16:31:52.000` | `12.1`    |
 
 The special labels you see above are just normal valid labels in Prometheus.
 GreptimeDB recognizes some of the label names and turns them into ingest options.
 It's much like the custom HTTP headers, where you just set a valid HTTP header and its value to indicate following operations, only the header pair means nothing outside your program.
 
 Here is a list of supported label names:
-- `__database__`
-- `__physical_table__`
+- `x_greptime_database`
+- `x_greptime_physical_table`
 
 ### Setting labels
 
@@ -243,7 +243,7 @@ If you're using Prometheus to scrape metrics from the source and send them to Gr
 Refer to the [docs](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#configuration-file) here.
 It's the same for other collecting tools. You may have to find the relevant configuration for your tool of choice.
 
-### `__database__`
+### `x_greptime_database`
 
 This option decides which database the metric goes into. Note, the database should be created in advance(for instance, using `create database xxx` SQL).
 
@@ -253,7 +253,7 @@ If the metrics are collected and ingested into the same database, then on a Graf
 
 In this case, you might want to store the metrics on different databases during ingestion and use two dashboards to view the metrics separately.
 
-### `__physical_table__`
+### `x_greptime_physical_table`
 
 If the metric is storing using the metric engine, then there is a physical table behind each metric's logical table.
 By default, all metrics using the same physical table.

i18n/zh/docusaurus-plugin-content-docs/current/user-guide/ingest-data/for-observability/prometheus.md

@@ -210,17 +210,17 @@ with (
 这些标签不是互斥的，它们可以通过组合的方式达成更多样化的控制选择。
 
 以下是指标特殊标签的一个示例，注意这不是实际的数据模型。
-| `__name__`       | `__database__` | `__physical_table__` | `pod_name_label`    | `__normal_label_with_underscore_prefix__` | `timestamp`             | `value` |
-|------------------|----------------|----------------------|---------------------|-------------------------------------------|-------------------------|---------|
-| some_metric_name | public         | p_1                  | random_k8s_pod_name | true                                      | 2025-06-17 16:31:52.000 | 12.1    |
+| `__name__`         | `x_greptime_database`   | `x_greptime_physical_table`   | `pod_name_label`      | `__normal_label_with_underscore_prefix__`   | `timestamp`               | `value`   |
+|--------------------|-------------------------|-------------------------------|-----------------------|---------------------------------------------|---------------------------|-----------|
+| `some_metric_name` | `public`                | `p_1`                         | `random_k8s_pod_name` | `true`                                      | `2025-06-17 16:31:52.000` | `12.1`    |
 
 上述特殊标签只是在 Prometheus 中的普通有效标签。
 GreptimeDB 可以识别一些标签的名称，并将它们转换成写入时的配置项。
 就像自定义的 HTTP header 一样，你可以通过设定一些有效的 HTTP header 键值对来指示后续的操作，只是这些 header 键值对在特定的程序之外不起任何作用。
 
 以下是所有 GreptimeDB 支持的标签名称：
-- `__database__`
-- `__physical_table__`
+- `x_greptime_database`
+- `x_greptime_physical_table`
 
 ### 设置标签
 
@@ -230,7 +230,7 @@ GreptimeDB 可以识别一些标签的名称，并将它们转换成写入时的
 参考这个[文档](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#configuration-file)。
 对于其他的收集工具也是一样的。对于你所使用的工具，你可能需要查找相应的设置。
 
-### `__database__`
+### `x_greptime_database`
 
 这个选项决定指标数据会被保存到哪个数据库中，该数据库需要被提前创建好（例如通过 `create database xxx` SQL 语句）。
 
@@ -242,7 +242,7 @@ GreptimeDB 可以识别一些标签的名称，并将它们转换成写入时的
 
 在这种情况下，你可以在写入时将指标保存到两个不同的数据库中，然后使用两个大盘分别浏览这些指标。
 
-### `__physical_table__`
+### `x_greptime_physical_table`
 
 如果指标通过 metric engine 进行存储，那么每个指标的逻辑表背后是一张物理表。
 默认下，所有的指标都使用同一张物理表。

i18n/zh/docusaurus-plugin-content-docs/version-1.0/user-guide/ingest-data/for-observability/prometheus.md

@@ -210,17 +210,17 @@ with (
 这些标签不是互斥的，它们可以通过组合的方式达成更多样化的控制选择。
 
 以下是指标特殊标签的一个示例，注意这不是实际的数据模型。
-| `__name__`       | `__database__` | `__physical_table__` | `pod_name_label`    | `__normal_label_with_underscore_prefix__` | `timestamp`             | `value` |
-|------------------|----------------|----------------------|---------------------|-------------------------------------------|-------------------------|---------|
-| some_metric_name | public         | p_1                  | random_k8s_pod_name | true                                      | 2025-06-17 16:31:52.000 | 12.1    |
+| `__name__`         | `x_greptime_database`   | `x_greptime_physical_table`   | `pod_name_label`      | `__normal_label_with_underscore_prefix__`   | `timestamp`               | `value`   |
+|--------------------|-------------------------|-------------------------------|-----------------------|---------------------------------------------|---------------------------|-----------|
+| `some_metric_name` | `public`                | `p_1`                         | `random_k8s_pod_name` | `true`                                      | `2025-06-17 16:31:52.000` | `12.1`    |
 
 上述特殊标签只是在 Prometheus 中的普通有效标签。
 GreptimeDB 可以识别一些标签的名称，并将它们转换成写入时的配置项。
 就像自定义的 HTTP header 一样，你可以通过设定一些有效的 HTTP header 键值对来指示后续的操作，只是这些 header 键值对在特定的程序之外不起任何作用。
 
 以下是所有 GreptimeDB 支持的标签名称：
-- `__database__`
-- `__physical_table__`
+- `x_greptime_database`
+- `x_greptime_physical_table`
 
 ### 设置标签
 
@@ -230,7 +230,7 @@ GreptimeDB 可以识别一些标签的名称，并将它们转换成写入时的
 参考这个[文档](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#configuration-file)。
 对于其他的收集工具也是一样的。对于你所使用的工具，你可能需要查找相应的设置。
 
-### `__database__`
+### `x_greptime_database`
 
 这个选项决定指标数据会被保存到哪个数据库中，该数据库需要被提前创建好（例如通过 `create database xxx` SQL 语句）。
 
@@ -242,7 +242,7 @@ GreptimeDB 可以识别一些标签的名称，并将它们转换成写入时的
 
 在这种情况下，你可以在写入时将指标保存到两个不同的数据库中，然后使用两个大盘分别浏览这些指标。
 
-### `__physical_table__`
+### `x_greptime_physical_table`
 
 如果指标通过 metric engine 进行存储，那么每个指标的逻辑表背后是一张物理表。
 默认下，所有的指标都使用同一张物理表。

versioned_docs/version-1.0/user-guide/ingest-data/for-observability/prometheus.md

@@ -223,17 +223,17 @@ There labels (along with there values) will turn into ingest options during the
 The labels are not mutually exclusive, so they can be combined together to produce more versatile controlling.
 
 Here is a representative diagram of special labels for a metric. Note this is not the actual data model of a metric.
-| `__name__`       | `__database__` | `__physical_table__` | `pod_name_label`    | `__normal_label_with_underscore_prefix__` | `timestamp`             | `value` |
-|------------------|----------------|----------------------|---------------------|-------------------------------------------|-------------------------|---------|
-| some_metric_name | public         | p_1                  | random_k8s_pod_name | true                                      | 2025-06-17 16:31:52.000 | 12.1    |
+| `__name__`         | `x_greptime_database`   | `x_greptime_physical_table`   | `pod_name_label`      | `__normal_label_with_underscore_prefix__`   | `timestamp`               | `value`   |
+|--------------------|-------------------------|-------------------------------|-----------------------|---------------------------------------------|---------------------------|-----------|
+| `some_metric_name` | `public`                | `p_1`                         | `random_k8s_pod_name` | `true`                                      | `2025-06-17 16:31:52.000` | `12.1`    |
 
 The special labels you see above are just normal valid labels in Prometheus.
 GreptimeDB recognizes some of the label names and turns them into ingest options.
 It's much like the custom HTTP headers, where you just set a valid HTTP header and its value to indicate following operations, only the header pair means nothing outside your program.
 
 Here is a list of supported label names:
-- `__database__`
-- `__physical_table__`
+- `x_greptime_database`
+- `x_greptime_physical_table`
 
 ### Setting labels
 
@@ -243,7 +243,7 @@ If you're using Prometheus to scrape metrics from the source and send them to Gr
 Refer to the [docs](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#configuration-file) here.
 It's the same for other collecting tools. You may have to find the relevant configuration for your tool of choice.
 
-### `__database__`
+### `x_greptime_database`
 
 This option decides which database the metric goes into. Note, the database should be created in advance(for instance, using `create database xxx` SQL).
 
@@ -253,7 +253,7 @@ If the metrics are collected and ingested into the same database, then on a Graf
 
 In this case, you might want to store the metrics on different databases during ingestion and use two dashboards to view the metrics separately.
 
-### `__physical_table__`
+### `x_greptime_physical_table`
 
 If the metric is storing using the metric engine, then there is a physical table behind each metric's logical table.
 By default, all metrics using the same physical table.