This is an automated email from the ASF dual-hosted git repository.
jakevin pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/doris.git
The following commit(s) were added to refs/heads/master by this push:
new 21cdbec982 [fix](docs) fix some errors in docs (#16546)
21cdbec982 is described below
commit 21cdbec982de5e2a8f925e1d8888a92a77917d9a
Author: superche <[email protected]>
AuthorDate: Thu Feb 9 13:50:42 2023 +0800
[fix](docs) fix some errors in docs (#16546)
Co-authored-by: hechao <[email protected]>
---
docs/en/docs/data-table/data-partition.md | 2 +-
docs/zh-CN/docs/admin-manual/maint-monitor/monitor-metrics/metrics.md | 2 +-
2 files changed, 2 insertions(+), 2 deletions(-)
diff --git a/docs/en/docs/data-table/data-partition.md
b/docs/en/docs/data-table/data-partition.md
index 8ee9a738a4..db31d88b41 100644
--- a/docs/en/docs/data-table/data-partition.md
+++ b/docs/en/docs/data-table/data-partition.md
@@ -311,7 +311,7 @@ Range partitioning also supports batch partitioning. For
example, you can create
In the above example, we specify `id` (INT type) and `city` (VARCHAR type)
as the partitioning columns. The partitions are as follows:
```
- p1_city: [("1", "Beijing"), ("1", "Shanghai")]
+ * p1_city: [("1", "Beijing"), ("1", "Shanghai")]
* p2_city: [("2", "Beijing"), ("2", "Shanghai")]
* p3_city: [("3", "Beijing"), ("3", "Shanghai")]
```
diff --git
a/docs/zh-CN/docs/admin-manual/maint-monitor/monitor-metrics/metrics.md
b/docs/zh-CN/docs/admin-manual/maint-monitor/monitor-metrics/metrics.md
index a8753314c6..788dce1faa 100644
--- a/docs/zh-CN/docs/admin-manual/maint-monitor/monitor-metrics/metrics.md
+++ b/docs/zh-CN/docs/admin-manual/maint-monitor/monitor-metrics/metrics.md
@@ -98,7 +98,7 @@ curl http://be_host:webserver_port/metrics?type=json
|`doris_fe_query_err`| | Num | 错误查询的累积值 | |
|`doris_fe_query_err_rate`| | Num/Sec| 每秒错误查询数 | 观察集群是否出现查询错误 | P0 |
|`doris_fe_query_latency_ms`| | 毫秒| 查询请求延迟的百分位统计。如 {quantile="0.75"} 表示 75
分位的查询延迟 | 详细观察各分位查询延迟 | P0 |
-|| | 毫秒| 各个DB的查询请求延迟的百分位统计。如 {quantile="0.75",db="test"} 表示DB test 75 分位的查询延迟
| 详细观察各DB各分位查询延迟 | P0 |
+|`doris_fe_query_latency_ms_db`| | 毫秒| 各个DB的查询请求延迟的百分位统计。如
{quantile="0.75",db="test"} 表示DB test 75 分位的查询延迟 | 详细观察各DB各分位查询延迟 | P0 |
|`doris_fe_query_olap_table`| | Num| 查询内部表(OlapTable)的请求个数统计 | |
|`doris_fe_query_total`| | Num | 所有查询请求的累积计数 | |
|`doris_fe_report_queue_size`| | Num | BE的各种定期汇报任务在FE端的队列长度 | 该值反映了汇报任务在
Master FE 节点上的阻塞程度,数值越大,表示FE处理能力不足 | P0|
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]