未验证 提交 793d6322 编写于 作者: S Shengliang Guan 提交者: GitHub

Merge pull request #16867 from taosdata/3.0

release: build 3.0.1.1
......@@ -348,19 +348,15 @@ SELECT ... FROM (SELECT ... FROM ...) ...;
:::info
- Only one layer of nesting is allowed, that means no sub query is allowed within a sub query
- The result set returned by the inner query will be used as a "virtual table" by the outer query. The "virtual table" can be renamed using `AS` keyword for easy reference in the outer query.
- Sub query is not allowed in continuous query.
- The result of a nested query is returned as a virtual table used by the outer query. It's recommended to give an alias to this table for the convenience of using it in the outer query.
- JOIN operation is allowed between tables/STables inside both inner and outer queries. Join operation can be performed on the result set of the inner query.
- UNION operation is not allowed in either inner query or outer query.
- The functions that can be used in the inner query are the same as those that can be used in a non-nested query.
- The features that can be used in the inner query are the same as those that can be used in a non-nested query.
- `ORDER BY` inside the inner query is unnecessary and will slow down the query performance significantly. It is best to avoid the use of `ORDER BY` inside the inner query.
- Compared to the non-nested query, the functionality that can be used in the outer query has the following restrictions:
- Functions
- If the result set returned by the inner query doesn't contain timestamp column, then functions relying on timestamp can't be used in the outer query, like `TOP`, `BOTTOM`, `FIRST`, `LAST`, `DIFF`.
- Functions that need to scan the data twice can't be used in the outer query, like `STDDEV`, `PERCENTILE`.
- `IN` operator is not allowed in the outer query but can be used in the inner query.
- `GROUP BY` is not supported in the outer query.
- If the result set returned by the inner query doesn't contain timestamp column, then functions relying on timestamp can't be used in the outer query, like INTERP,DERIVATIVE, IRATE, LAST_ROW, FIRST, LAST, TWA, STATEDURATION, TAIL, UNIQUE.
- If the result set returned by the inner query are not sorted in order by timestamp, then functions relying on data ordered by timestamp can't be used in the outer query, like LEASTSQUARES, ELAPSED, INTERP, DERIVATIVE, IRATE, TWA, DIFF, STATECOUNT, STATEDURATION, CSUM, MAVG, TAIL, UNIQUE.
- Functions that need to scan the data twice can't be used in the outer query, like PERCENTILE.
:::
......
......@@ -5,11 +5,11 @@ title: Time-Series Extensions
As a purpose-built database for storing and processing time-series data, TDengine provides time-series-specific extensions to standard SQL.
These extensions include tag-partitioned queries and windowed queries.
These extensions include partitioned queries and windowed queries.
## Tag-Partitioned Queries
## Partitioned Queries
When you query a supertable, you may need to partition the supertable by tag and perform additional operations on a specific partition. In this case, you can use the following SQL clause:
When you query a supertable, you may need to partition the supertable by some dimensions and perform additional operations on a specific partition. In this case, you can use the following SQL clause:
```sql
PARTITION BY part_list
......@@ -17,22 +17,24 @@ PARTITION BY part_list
part_list can be any scalar expression, such as a column, constant, scalar function, or a combination of the preceding items.
A PARTITION BY clause with a tag is processed as follows:
A PARTITION BY clause is processed as follows:
- The PARTITION BY clause must occur after the WHERE clause and cannot be used with a JOIN clause.
- The PARTITION BY clause partitions the super table by the specified tag group, and the specified calculation is performed on each partition. The calculation performed is determined by the rest of the statement - a window clause, GROUP BY clause, or SELECT clause.
- You can use PARTITION BY together with a window clause or GROUP BY clause. In this case, the window or GROUP BY clause takes effect on every partition. For example, the following statement partitions the table by the location tag, performs downsampling over a 10 minute window, and returns the maximum value:
- The PARTITION BY clause must occur after the WHERE clause
- The PARTITION BY caluse partitions the data according to the specified dimentions, then perform computation on each partition. The performed computation is determined by the rest of the statement - a window clause, GROUP BY clause, or SELECT clause.
- The PARTITION BY clause can be used together with a window clause or GROUP BY clause. In this case, the window or GROUP BY clause takes effect on every partition. For example, the following statement partitions the table by the location tag, performs downsampling over a 10 minute window, and returns the maximum value:
```sql
select max(current) from meters partition by location interval(10m)
```
The most common usage of PARTITION BY is partitioning the data in subtables by tags then perform computation when querying data in a supertable. More specifically, `PARTITION BY TBNAME` partitions the data of each subtable into a single timeline, and this method facilitates the statistical analysis in many use cases of processing timeseries data.
## Windowed Queries
Aggregation by time window is supported in TDengine. For example, in the case where temperature sensors report the temperature every seconds, the average temperature for every 10 minutes can be retrieved by performing a query with a time window. Window related clauses are used to divide the data set to be queried into subsets and then aggregation is performed across the subsets. There are three kinds of windows: time window, status window, and session window. There are two kinds of time windows: sliding window and flip time/tumbling window. The query syntax is as follows:
```sql
SELECT function_list FROM tb_name
SELECT select_list FROM tb_name
[WHERE where_condition]
[SESSION(ts_col, tol_val)]
[STATE_WINDOW(col)]
......@@ -42,12 +44,6 @@ SELECT function_list FROM tb_name
The following restrictions apply:
### Restricted Functions
- Aggregate functions and select functions can be used in `function_list`, with each function having only one output. For example COUNT, AVG, SUM, STDDEV, LEASTSQUARES, PERCENTILE, MIN, MAX, FIRST, LAST. Functions having multiple outputs, such as DIFF or arithmetic operations can't be used.
- `LAST_ROW` can't be used together with window aggregate.
- Scalar functions, like CEIL/FLOOR, can't be used with window aggregate.
### Other Rules
- The window clause must occur after the PARTITION BY clause and before the GROUP BY clause. It cannot be used with a GROUP BY clause.
......@@ -82,7 +78,7 @@ These pseudocolumns occur after the aggregation clause.
1. A huge volume of interpolation output may be returned using `FILL`, so it's recommended to specify the time range when using `FILL`. The maximum number of interpolation values that can be returned in a single query is 10,000,000.
2. The result set is in ascending order of timestamp when you aggregate by time window.
3. If aggregate by window is used on STable, the aggregate function is performed on all the rows matching the filter conditions. If `GROUP BY` is not used in the query, the result set will be returned in ascending order of timestamp; otherwise the result set is not exactly in the order of ascending timestamp in each group.
3. If aggregate by window is used on STable, the aggregate function is performed on all the rows matching the filter conditions. If `PARTITION BY` is not used in the query, the result set will be returned in strict ascending order of timestamp; otherwise the result set is not exactly in the order of ascending timestamp in each group.
:::
......@@ -112,9 +108,9 @@ When using time windows, note the following:
Please note that the `timezone` parameter should be configured to be the same value in the `taos.cfg` configuration file on client side and server side.
- The result set is in ascending order of timestamp when you aggregate by time window.
### Status Window
### State Window
In case of using integer, bool, or string to represent the status of a device at any given moment, continuous rows with the same status belong to a status window. Once the status changes, the status window closes. As shown in the following figure, there are two status windows according to status, [2019-04-28 14:22:07,2019-04-28 14:22:10] and [2019-04-28 14:22:11,2019-04-28 14:22:12]. Status window is not applicable to STable for now.
In case of using integer, bool, or string to represent the status of a device at any given moment, continuous rows with the same status belong to a status window. Once the status changes, the status window closes. As shown in the following figure, there are two state windows according to status, [2019-04-28 14:22:07,2019-04-28 14:22:10] and [2019-04-28 14:22:11,2019-04-28 14:22:12].
![TDengine Database Status Window](./timewindow-3.webp)
......@@ -130,7 +126,7 @@ The primary key, i.e. timestamp, is used to determine which session window a row
![TDengine Database Session Window](./timewindow-2.webp)
If the time interval between two continuous rows are within the time interval specified by `tol_value` they belong to the same session window; otherwise a new session window is started automatically. Session window is not supported on STable for now.
If the time interval between two continuous rows are within the time interval specified by `tol_value` they belong to the same session window; otherwise a new session window is started automatically.
```
......
......@@ -9,15 +9,54 @@ This document describes how to manage permissions in TDengine.
## Create a User
```sql
CREATE USER use_name PASS 'password';
CREATE USER user_name PASS 'password' [SYSINFO {1|0}];
```
This statement creates a user account.
The maximum length of use_name is 23 bytes.
The maximum length of user_name is 23 bytes.
The maximum length of password is 128 bytes. The password can include leters, digits, and special characters excluding single quotation marks, double quotation marks, backticks, backslashes, and spaces. The password cannot be empty.
`SYSINFO` indicates whether the user is allowed to view system information. `1` means allowed, `0` means not allowed. System information includes server configuration, dnode, vnode, storage. The default value is `1`.
For example, we can create a user whose password is `123456` and is able to view system information.
```sql
taos> create user test pass '123456' sysinfo 1;
Query OK, 0 of 0 rows affected (0.001254s)
```
## View Users
To show the users in the system, please use
```sql
SHOW USERS;
```
This is an example:
```sql
taos> show users;
name | super | enable | sysinfo | create_time |
================================================================================
test | 0 | 1 | 1 | 2022-08-29 15:10:27.315 |
root | 1 | 1 | 1 | 2022-08-29 15:03:34.710 |
Query OK, 2 rows in database (0.001657s)
```
Alternatively, you can get the user information by querying a built-in table, INFORMATION_SCHEMA.INS_USERS. For example:
```sql
taos> select * from information_schema.ins_users;
name | super | enable | sysinfo | create_time |
================================================================================
test | 0 | 1 | 1 | 2022-08-29 15:10:27.315 |
root | 1 | 1 | 1 | 2022-08-29 15:03:34.710 |
Query OK, 2 rows in database (0.001953s)
```
## Delete a User
```sql
......@@ -40,6 +79,13 @@ alter_user_clause: {
- ENABLE: Specify whether the user is enabled or disabled. 1 indicates enabled and 0 indicates disabled.
- SYSINFO: Specify whether the user can query system information. 1 indicates that the user can query system information and 0 indicates that the user cannot query system information.
For example, you can use below command to disable user `test`:
```sql
taos> alter user test enable 0;
Query OK, 0 of 0 rows affected (0.001160s)
```
## Grant Permissions
......@@ -62,7 +108,7 @@ priv_level : {
}
```
Grant permissions to a user.
Grant permissions to a user, this feature is only available in enterprise edition.
Permissions are granted on the database level. You can grant read or write permissions.
......@@ -92,4 +138,4 @@ priv_level : {
```
Revoke permissions from a user.
Revoke permissions from a user, this feature is only available in enterprise edition.
......@@ -2,7 +2,7 @@
title: TDengine Monitoring
---
After TDengine is started, a database named `log` is created automatically to help with monitoring. Information that includes CPU, memory and disk usage, bandwidth, number of requests, disk I/O speed, slow queries, is written into the `log` database at a predefined interval. Additionally, some important system operations, like logon, create user, drop database, and alerts and warnings generated in TDengine are written into the `log` database too. A system operator can view the data in `log` database from TDengine CLI or from a web console.
After TDengine is started, it automatically writes monitoring data including CPU, memory and disk usage, bandwidth, number of requests, disk I/O speed, slow queries, into a designated database at a predefined interval through taosKeeper. Additionally, some important system operations, like logon, create user, drop database, and alerts and warnings generated in TDengine are written into the `log` database too. A system operator can view the data in `log` database from TDengine CLI or from a web console.
The collection of the monitoring information is enabled by default, but can be disabled by parameter `monitor` in the configuration file.
......@@ -10,7 +10,7 @@ The collection of the monitoring information is enabled by default, but can be d
TDinsight is a complete solution which uses the monitoring database `log` mentioned previously, and Grafana, to monitor a TDengine cluster.
From version 2.3.3.0, more monitoring data has been added in the `log` database. Please refer to [TDinsight Grafana Dashboard](https://grafana.com/grafana/dashboards/15167) to learn more details about using TDinsight to monitor TDengine.
Please refer to [TDinsight Grafana Dashboard](../../reference/tdinsight) to learn more details about using TDinsight to monitor TDengine.
A script `TDinsight.sh` is provided to deploy TDinsight automatically.
......@@ -30,31 +30,14 @@ Prepare:
2. Grafana Alert Notification
There are two ways to setup Grafana alert notification.
You can use below command to setup Grafana alert notification.
- An existing Grafana Notification Channel can be specified with parameter `-E`, the notifier uid of the channel can be obtained by `curl -u admin:admin localhost:3000/api/alert-notifications |jq`
An existing Grafana Notification Channel can be specified with parameter `-E`, the notifier uid of the channel can be obtained by `curl -u admin:admin localhost:3000/api/alert-notifications |jq`
```bash
sudo ./TDinsight.sh -a http://localhost:6041 -u root -p taosdata -E <notifier uid>
```
- The AliCloud SMS alert built in TDengine data source plugin can be enabled with parameter `-s`, the parameters of enabling this plugin are listed below:
- `-I`: AliCloud SMS Key ID
- `-K`: AliCloud SMS Key Secret
- `-S`: AliCloud SMS Signature
- `-C`: SMS notification template
- `-T`: Input parameters in JSON format for the SMS notification template, for example`{"alarm_level":"%s","time":"%s","name":"%s","content":"%s"}`
- `-B`: List of mobile numbers to be notified
Below is an example of the full command using the AliCloud SMS alert.
```bash
sudo ./TDinsight.sh -a http://localhost:6041 -u root -p taosdata -s \
-I XXXXXXX -K XXXXXXXX -S taosdata -C SMS_1111111 -B 18900000000 \
-T '{"alarm_level":"%s","time":"%s","name":"%s","content":"%s"}'
```
Launch `TDinsight.sh` with the command above and restart Grafana, then open Dashboard `http://localhost:3000/d/tdinsight`.
For more use cases and restrictions please refer to [TDinsight](/reference/tdinsight/).
......@@ -211,7 +211,7 @@
],
"timeFrom": null,
"timeShift": null,
"title": "Leader MNode",
"title": "Master MNode",
"transformations": [
{
"id": "filterByValue",
......@@ -221,7 +221,7 @@
"config": {
"id": "regex",
"options": {
"value": "leader"
"value": "master"
}
},
"fieldName": "role"
......@@ -300,7 +300,7 @@
],
"timeFrom": null,
"timeShift": null,
"title": "Leader MNode Create Time",
"title": "Master MNode Create Time",
"transformations": [
{
"id": "filterByValue",
......@@ -310,7 +310,7 @@
"config": {
"id": "regex",
"options": {
"value": "leader"
"value": "master"
}
},
"fieldName": "role"
......
......@@ -153,7 +153,7 @@
],
"timeFrom": null,
"timeShift": null,
"title": "Leader MNode",
"title": "Master MNode",
"transformations": [
{
"id": "filterByValue",
......@@ -163,7 +163,7 @@
"config": {
"id": "regex",
"options": {
"value": "leader"
"value": "master"
}
},
"fieldName": "role"
......@@ -246,7 +246,7 @@
],
"timeFrom": null,
"timeShift": null,
"title": "Leader MNode Create Time",
"title": "Master MNode Create Time",
"transformations": [
{
"id": "filterByValue",
......@@ -256,7 +256,7 @@
"config": {
"id": "regex",
"options": {
"value": "leader"
"value": "master"
}
},
"fieldName": "role"
......
......@@ -5,15 +5,23 @@ sidebar_label: TDinsight
TDinsight is a solution for monitoring TDengine using the builtin native monitoring database and [Grafana].
After TDengine starts, it will automatically create a monitoring database `log`. TDengine will automatically write many metrics in specific intervals into the `log` database. The metrics may include the server's CPU, memory, hard disk space, network bandwidth, number of requests, disk read/write speed, slow queries, other information like important system operations (user login, database creation, database deletion, etc.), and error alarms. With [Grafana] and [TDengine Data Source Plugin](https://github.com/taosdata/grafanaplugin/releases), TDinsight can visualize cluster status, node information, insertion and query requests, resource usage, vnode, dnode, and mnode status, exception alerts and many other metrics. This is very convenient for developers who want to monitor TDengine cluster status in real-time. This article will guide users to install the Grafana server, automatically install the TDengine data source plug-in, and deploy the TDinsight visualization panel using the `TDinsight.sh` installation script.
After TDengine starts, it automatically writes many metrics in specific intervals into a designated database. The metrics may include the server's CPU, memory, hard disk space, network bandwidth, number of requests, disk read/write speed, slow queries, other information like important system operations (user login, database creation, database deletion, etc.), and error alarms. With [Grafana] and [TDengine Data Source Plugin](https://github.com/taosdata/grafanaplugin/releases), TDinsight can visualize cluster status, node information, insertion and query requests, resource usage, vnode, dnode, and mnode status, exception alerts and many other metrics. This is very convenient for developers who want to monitor TDengine cluster status in real-time. This article will guide users to install the Grafana server, automatically install the TDengine data source plug-in, and deploy the TDinsight visualization panel using the `TDinsight.sh` installation script.
## System Requirements
To deploy TDinsight, a single-node TDengine server or a multi-node TDengine cluster and a [Grafana] server are required. This dashboard requires TDengine 2.3.3.0 and above, with the `log` database enabled (`monitor = 1`).
To deploy TDinsight, we need
- a single-node TDengine server or a multi-node TDengine cluster and a [Grafana] server are required. This dashboard requires TDengine 3.0.1.0 and above, with the monitoring feature enabled. For detailed configuration, please refer to [TDengine monitoring configuration](../config/#monitoring-parameters).
- taosAdapter has been instaleld and running, please refer to [taosAdapter](../taosadapter).
- taosKeeper has been installed and running, please refer to [taosKeeper](../taoskeeper).
Please record
- The endpoint of taosAdapter REST service, for example `http://tdengine.local:6041`
- Authentication of taosAdapter, e.g. user name and password
- The database name used by taosKeeper to store monitoring data
## Installing Grafana
We recommend using the latest [Grafana] version 7 or 8 here. You can install Grafana on any [supported operating system](https://grafana.com/docs/grafana/latest/installation/requirements/#supported-operating-systems) by following the [official Grafana documentation Instructions](https://grafana.com/docs/grafana/latest/installation/) to install [Grafana].
We recommend using the latest [Grafana] version 8 or 9 here. You can install Grafana on any [supported operating system](https://grafana.com/docs/grafana/latest/installation/requirements/#supported-operating-systems) by following the [official Grafana documentation Instructions](https://grafana.com/docs/grafana/latest/installation/) to install [Grafana].
### Installing Grafana on Debian or Ubuntu
......@@ -71,7 +79,7 @@ chmod +x TDinsight.sh
./TDinsight.sh
```
This script will automatically download the latest [Grafana TDengine data source plugin](https://github.com/taosdata/grafanaplugin/releases/latest) and [TDinsight dashboard](https://grafana.com/grafana/dashboards/15167) with configurable parameters for command-line options to the [Grafana Provisioning](https://grafana.com/docs/grafana/latest/administration/provisioning/) configuration file to automate deployment and updates, etc. With the alert setting options provided by this script, you can also get built-in support for AliCloud SMS alert notifications.
This script will automatically download the latest [Grafana TDengine data source plugin](https://github.com/taosdata/grafanaplugin/releases/latest) and [TDinsight dashboard](https://github.com/taosdata/grafanaplugin/blob/master/dashboards/TDinsightV3.json) with configurable parameters for command-line options to the [Grafana Provisioning](https://grafana.com/docs/grafana/latest/administration/provisioning/) configuration file to automate deployment and updates, etc. With the alert setting options provided by this script, you can also get built-in support for AliCloud SMS alert notifications.
Assume you use TDengine and Grafana's default services on the same host. Run `. /TDinsight.sh` and open the Grafana browser window to see the TDinsight dashboard.
......@@ -106,18 +114,6 @@ Install and configure TDinsight dashboard in Grafana on Ubuntu 18.04/20.04 syste
-E, --external-notifier <string> Apply external notifier uid to TDinsight dashboard.
Alibaba Cloud SMS as Notifier:
-s, --sms-enabled To enable tdengine-datasource plugin builtin Alibaba Cloud SMS webhook.
-N, --sms-notifier-name <string> Provisioning notifier name.[default: TDinsight Builtin SMS]
-U, --sms-notifier-uid <string> Provisioning notifier uid, use lowercase notifier name by default.
-D, --sms-notifier-is-default Set notifier as default.
-I, --sms-access-key-id <string> Alibaba Cloud SMS access key id
-K, --sms-access-key-secret <string> Alibaba Cloud SMS access key secret
-S, --sms-sign-name <string> Sign name
-C, --sms-template-code <string> Template code
-T, --sms-template-param <string> Template param, a escaped JSON string like '{"alarm_level":"%s","time":"%s","name":"%s","content":"%s"}'
-B, --sms-phone-numbers <string> Comma-separated numbers list, eg "189xxxxxxxx,132xxxxxxxx"
-L, --sms-listen-addr <string> [default: 127.0.0.1:9100]
```
Most command-line options can take effect the same as environment variables.
......@@ -136,17 +132,6 @@ Most command-line options can take effect the same as environment variables.
| -t | --tdinsight-title | TDINSIGHT_DASHBOARD_TITLE | TDinsight dashboard title. [Default: TDinsight] | -e | -tdinsight-title
| -e | --tdinsight-editable | TDINSIGHT_DASHBOARD_EDITABLE | If the dashboard is configured to be editable. [Default: false] | -e | --external
| -E | --external-notifier | EXTERNAL_NOTIFIER | Apply the external notifier uid to the TDinsight dashboard. | -s
| -s | --sms-enabled | SMS_ENABLED | Enable the tdengine-datasource plugin built into Alibaba Cloud SMS webhook. | -s
| -N | --sms-notifier-name | SMS_NOTIFIER_NAME | The name of the provisioning notifier. [Default: `TDinsight Builtin SMS`] | -U
| -U | --sms-notifier-uid | SMS_NOTIFIER_UID | "Notification Channel" `uid`, lowercase of the program name is used by default, other characters are replaced by "-". |-sms
| -D | --sms-notifier-is-default | SMS_NOTIFIER_IS_DEFAULT | Set built-in SMS notification to default value. |-sms-notifier-is-default
| -I | --sms-access-key-id | SMS_ACCESS_KEY_ID | Alibaba Cloud SMS access key id |
| -K | --sms-access-key-secret | SMS_ACCESS_KEY_SECRET | AliCloud SMS-access-secret-key |
| -S | --sms-sign-name | SMS_SIGN_NAME | Signature |
| -C | --sms-template-code | SMS_TEMPLATE_CODE | Template code |
| -T | --sms-template-param | SMS_TEMPLATE_PARAM | JSON template for template parameters |
| -B | --sms-phone-numbers | SMS_PHONE_NUMBERS | A comma-separated list of phone numbers, e.g. `"189xxxxxxxx,132xxxxxxxx"` |
| -L | --sms-listen-addr | SMS_LISTEN_ADDR | Built-in SMS webhook listener address, default is `127.0.0.1:9100` |
Suppose you start a TDengine database on host `tdengine` with HTTP API port `6041`, user `root1`, and password `pass5ord`. Execute the script.
......@@ -166,24 +151,10 @@ Use the `uid` value obtained above as `-E` input.
sudo ./TDinsight.sh -a http://tdengine:6041 -u root1 -p pass5ord -E existing-notifier
```
If you want to use the [Alibaba Cloud SMS](https://www.aliyun.com/product/sms) service as a notification channel, you should enable it with the `-s` flag add the following parameters.
- `-N`: Notification Channel name, default is `TDinsight Builtin SMS`.
- `-U`: Channel uid, default is lowercase of `name`, any other character is replaced with -, for the default `-N`, its uid is `tdinsight-builtin-sms`.
- `-I`: Alibaba Cloud SMS access key id.
- `-K`: Alibaba Cloud SMS access secret key.
- `-S`: Alibaba Cloud SMS signature.
- `-C`: Alibaba Cloud SMS template id.
- `-T`: Alibaba Cloud SMS template parameters, for JSON format template, example is as follows `'{"alarm_level":"%s", "time":"%s", "name":"%s", "content":"%s"}'`. There are four parameters: alarm level, time, name and alarm content.
- `-B`: a list of phone numbers, separated by a comma `,`.
If you want to monitor multiple TDengine clusters, you need to set up numerous TDinsight dashboards. Setting up non-default TDinsight requires some changes: the `-n` `-i` `-t` options need to be changed to non-default names, and `-N` and `-L` should also be changed if using the built-in SMS alerting feature.
```bash
sudo . /TDengine.sh -n TDengine-Env1 -a http://another:6041 -u root -p taosdata -i tdinsight-env1 -t 'TDinsight Env1'
# If using built-in SMS notifications
sudo . /TDengine.sh -n TDengine-Env1 -a http://another:6041 -u root -p taosdata -i tdinsight-env1 -t 'TDinsight Env1' \
-s -N 'Env1 SMS' -I xx -K xx -S xx -C SMS_XX -T '' -B 00000000000 -L 127.0.0.01:10611
```
Please note that the configuration data source, notification channel, and dashboard are not changeable on the front end. You should update the configuration again via this script or manually change the configuration file in the `/etc/grafana/provisioning` directory (this is the default directory for Grafana, use the `-P` option to change it as needed).
......@@ -249,21 +220,23 @@ Save and test. It will report 'TDengine Data source is working' under normal cir
### Importing dashboards
Point to **+** / **Create** - **import** (or `/dashboard/import` url).
In the page of configuring data source, click **Dashboards** tab.
![TDengine Database TDinsight Import Dashboard and Configuration](./assets/import_dashboard.webp)
Type the dashboard ID `15167` in the **Import via grafana.com** location and **Load**.
Choose `TDengine for 3.x` and click `import`.
After the importing is done, `TDinsight for 3.x` dashboard is available on the page of `search dashboards by name`.
![TDengine Database TDinsight Import via grafana.com](./assets/import-dashboard-15167.webp)
![TDengine Database TDinsight Import via grafana.com](./assets/import_dashboard_view.webp)
Once the import is complete, the full page view of TDinsight is shown below.
In the `TDinsight for 3.x` dashboard, choose the database used by taosKeeper to store monitoring data, you can see the monitoring result.
![TDengine Database TDinsight show](./assets/TDinsight-full.webp)
![TDengine Database TDinsight 选择数据库](./assets/select_dashboard_db.webp)
## TDinsight dashboard details
The TDinsight dashboard is designed to provide the usage and status of TDengine-related resources [dnodes, mnodes, vnodes](../../taos-sql/node/) or databases.
The TDinsight dashboard is designed to provide the usage and status of TDengine-related resources, e.g. dnodes, mnodes, vnodes and databases.
Details of the metrics are as follows.
......@@ -285,7 +258,6 @@ This section contains the current information and status of the cluster, the ale
- **Measuring Points Used**: The number of measuring points used to enable the alert rule (no data available in the community version, healthy by default).
- **Grants Expire Time**: the expiration time of the enterprise version of the enabled alert rule (no data available for the community version, healthy by default).
- **Error Rate**: Aggregate error rate (average number of errors per second) for alert-enabled clusters.
- **Variables**: `show variables` table display.
### DNodes Status
......@@ -294,7 +266,6 @@ This section contains the current information and status of the cluster, the ale
- **DNodes Status**: simple table view of `show dnodes`.
- **DNodes Lifetime**: the time elapsed since the dnode was created.
- **DNodes Number**: the number of DNodes changes.
- **Offline Reason**: if any dnode status is offline, the reason for offline is shown as a pie chart.
### MNode Overview
......@@ -309,7 +280,6 @@ This section contains the current information and status of the cluster, the ale
1. **Requests Rate(Inserts per Second)**: average number of inserts per second.
2. **Requests (Selects)**: number of query requests and change rate (count of second).
3. **Requests (HTTP)**: number of HTTP requests and request rate (count of second).
### Database
......@@ -319,9 +289,8 @@ Database usage, repeated for each value of the variable `$database` i.e. multipl
1. **STables**: number of super tables.
2. **Total Tables**: number of all tables.
3. **Sub Tables**: the number of all super table subtables.
4. **Tables**: graph of all normal table numbers over time.
5. **Tables Number Foreach VGroups**: The number of tables contained in each VGroups.
3. **Tables**: number of normal tables.
4. **Table number for each vgroup**: number of tables per vgroup.
### DNode Resource Usage
......@@ -356,12 +325,11 @@ Currently, only the number of logins per minute is reported.
Support monitoring taosAdapter request statistics and status details. Includes.
1. **http_request**: contains the total number of requests, the number of failed requests, and the number of requests being processed
2. **top 3 request endpoint**: data of the top 3 requests by endpoint group
3. **Memory Used**: taosAdapter memory usage
4. **latency_quantile(ms)**: quantile of (1, 2, 5, 9, 99) stages
5. **top 3 failed request endpoint**: data of the top 3 failed requests by endpoint grouping
6. **CPU Used**: taosAdapter CPU usage
1. **http_request_inflight**: number of real-time requests.
2. **http_request_total**: number of total requests.
3. **http_request_fail**: number of failed requets.
4. **CPU Used**: CPU usage of taosAdapter.
5. **Memory Used**: Memory usage of taosAdapter.
## Upgrade
......@@ -403,13 +371,6 @@ services:
TDENGINE_API: ${TDENGINE_API}
TDENGINE_USER: ${TDENGINE_USER}
TDENGINE_PASS: ${TDENGINE_PASS}
SMS_ACCESS_KEY_ID: ${SMS_ACCESS_KEY_ID}
SMS_ACCESS_KEY_SECRET: ${SMS_ACCESS_KEY_SECRET}
SMS_SIGN_NAME: ${SMS_SIGN_NAME}
SMS_TEMPLATE_CODE: ${SMS_TEMPLATE_CODE}
SMS_TEMPLATE_PARAM: '${SMS_TEMPLATE_PARAM}'
SMS_PHONE_NUMBERS: $SMS_PHONE_NUMBERS
SMS_LISTEN_ADDR: ${SMS_LISTEN_ADDR}
ports:
- 3000:3000
volumes:
......
......@@ -218,7 +218,7 @@ void Close()
```sql
DROP DATABASE IF EXISTS tmqdb;
CREATE DATABASE tmqdb;
CREATE TABLE tmqdb.stb (ts TIMESTAMP, c1 INT, c2 FLOAT, c3 VARCHAR(16) TAGS(t1 INT, t3 VARCHAR(16));
CREATE TABLE tmqdb.stb (ts TIMESTAMP, c1 INT, c2 FLOAT, c3 VARCHAR(16)) TAGS(t1 INT, t3 VARCHAR(16));
CREATE TABLE tmqdb.ctb0 USING tmqdb.stb TAGS(0, "subtable0");
CREATE TABLE tmqdb.ctb1 USING tmqdb.stb TAGS(1, "subtable1");
INSERT INTO tmqdb.ctb0 VALUES(now, 0, 0, 'a0')(now+1s, 0, 0, 'a00');
......
......@@ -168,7 +168,7 @@ Query OK, 8 row(s) in set (0.001154s)
## 删除数据节点
先停止要删除的数据节点的 taosd 进程,然后启动 CLI 程序 taos,执行:
启动 CLI 程序 taos,执行:
```sql
DROP DNODE "fqdn:port";
......
......@@ -356,7 +356,7 @@ SELECT ... FROM (SELECT ... FROM ...) ...;
- 与非嵌套的查询语句相比,外层查询所能支持的功能特性存在如下限制:
- 计算函数部分:
- 如果内层查询的结果数据未提供时间戳,那么计算过程隐式依赖时间戳的函数在外层会无法正常工作。例如:INTERP, DERIVATIVE, IRATE, LAST_ROW, FIRST, LAST, TWA, STATEDURATION, TAIL, UNIQUE。
- 如果内层查询的结果数据不是有效的时间序列,那么计算过程依赖数据为时间序列的函数在外层会无法正常工作。例如:LEASTSQUARES, ELAPSED, INTERP, DERIVATIVE, IRATE, TWA, DIFF, STATECOUNT, STATEDURATION, CSUM, MAVG, TAIL, UNIQUE。
- 如果内层查询的结果数据不是按时间戳有序,那么计算过程依赖数据按时间有序的函数在外层会无法正常工作。例如:LEASTSQUARES, ELAPSED, INTERP, DERIVATIVE, IRATE, TWA, DIFF, STATECOUNT, STATEDURATION, CSUM, MAVG, TAIL, UNIQUE。
- 计算过程需要两遍扫描的函数,在外层查询中无法正常工作。例如:此类函数包括:PERCENTILE。
:::
......
......@@ -790,10 +790,20 @@ static bool mndCheckTransConflict(SMnode *pMnode, STrans *pNew) {
if (mndCheckDbConflict(pNew->dbname1, pTrans)) conflict = true;
if (mndCheckDbConflict(pNew->dbname2, pTrans)) conflict = true;
}
if (pTrans->conflict == TRN_CONFLICT_DB_INSIDE) {
if (mndCheckDbConflict(pNew->dbname2, pTrans)) conflict = true; // for stb
}
}
mError("trans:%d, can't execute since conflict with trans:%d, db1:%s db2:%s", pNew->id, pTrans->id, pTrans->dbname1,
pTrans->dbname2);
if (conflict) {
mError("trans:%d, db1:%s db2:%s type:%d, can't execute since conflict with trans:%d db1:%s db2:%s type:%d",
pNew->id, pNew->dbname1, pNew->dbname2, pNew->conflict, pTrans->id, pTrans->dbname1, pTrans->dbname2,
pTrans->conflict);
} else {
mDebug("trans:%d, db1:%s db2:%s type:%d, not conflict with trans:%d db1:%s db2:%s type:%d", pNew->id,
pNew->dbname1, pNew->dbname2, pNew->conflict, pTrans->id, pTrans->dbname1, pTrans->dbname2,
pTrans->conflict);
}
sdbRelease(pMnode->pSdb, pTrans);
}
......
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