快速开始
CnosDB SQL 的灵感来自于 DataFusion,我们支持DataFusion的大部分SQL语法。
注意:为了查询能更高效,没有指定排序的查询,每次行顺序都不一定相同,如果需要按字段排序的话,请参看ORDER BY
子句。
示例数据
为了进一步学习CnosDB,本节将提供示例数据供您下载,并教您如何将数据导入数据库。后面章节中引用的数据源都来自此示例数据。
下载数据
如果在 cnosdb-cli 中,请输入\q
退出
在shell中执行以下命令将在本地生成一个名称为oceanic_station的Line Protocol格式的数据文件
curl -o oceanic_station.txt https://dl.cnosdb.com/sample/oceanic_station.txt
导入数据
启动CLI
cnosdb-cli
创建数据库
create database oceanic_station;
切换到指定数据库
\c oceanic_station
导入数据
执行\w指令,\w后面为数据文件的绝对路径或相对cnosdb-cli的工作路径。
\w oceanic_station.txt
语法
[ WITH with_query [, ...] ]
SELECT [ ALL | DISTINCT ] select_expression [, ...]
[ FROM from_item [, ...] ]
[ WHERE condition ]
[ GROUP BY [ ALL | DISTINCT ] grouping_element [, ...] ]
[ HAVING condition ]
[ { UNION | INTERSECT | EXCEPT } [ ALL | DISTINCT ] select ]
[ ORDER BY expression [ ASC | DESC ] [, ...] ]
[ OFFSET count ]
[ LIMIT { count | ALL } ];
-- from_item
-- 1.
tb_name [ [ AS ] alias [ ( column_alias [, ...] ) ] ]
-- 2.
from_item join_type from_item
{ ON join_condition | USING ( join_column [, ...] ) }
-- join_type
[ INNER ] JOIN
LEFT [ OUTER ] JOIN
RIGHT [ OUTER ] JOIN
FULL [ OUTER ] JOIN
CROSS JOIN
-- grouping_element
()
SELECT 子句
SELECT *
通配符 * 可以用于代指全部列。
示例
SELECT * FROM air;
+---------------------+-------------+------------+-------------+----------+
| time | station | visibility | temperature | pressure |
+---------------------+-------------+------------+-------------+----------+
| 2022-01-28 13:21:00 | XiaoMaiDao | 56 | 69 | 77 |
| 2022-01-28 13:24:00 | XiaoMaiDao | 50 | 78 | 66 |
| 2022-01-28 13:27:00 | XiaoMaiDao | 67 | 62 | 59 |
| 2022-01-28 13:30:00 | XiaoMaiDao | 65 | 79 | 77 |
| 2022-01-28 13:33:00 | XiaoMaiDao | 53 | 53 | 68 |
| 2022-01-28 13:36:00 | XiaoMaiDao | 74 | 72 | 68 |
| 2022-01-28 13:39:00 | XiaoMaiDao | 71 | 71 | 80 |
| 2022-01-28 13:21:00 | LianYunGang | 78 | 69 | 71 |
| 2022-01-28 13:24:00 | LianYunGang | 79 | 80 | 51 |
| 2022-01-28 13:27:00 | LianYunGang | 59 | 74 | 59 |
| 2022-01-28 13:30:00 | LianYunGang | 67 | 70 | 72 |
| 2022-01-28 13:33:00 | LianYunGang | 80 | 70 | 68 |
| 2022-01-28 13:36:00 | LianYunGang | 59 | 70 | 54 |
+---------------------+-------------+------------+-------------+----------+
ALL/DISTINCT
语法
SELECT [ ALL | DISTINCT ] select_expression [, ...];
在SELECT
关键字后可以使用DISTINCT
去掉重复字段,只返回去重后的值。
使用ALL
会返回字段中所有重复的值。不指定此选项时,默认值为ALL
。
示例
SELECT DISTINCT station, visibility FROM air;
+-------------+------------+
| station | visibility |
+-------------+------------+
| XiaoMaiDao | 56 |
| XiaoMaiDao | 50 |
| XiaoMaiDao | 67 |
| XiaoMaiDao | 65 |
| XiaoMaiDao | 53 |
| XiaoMaiDao | 74 |
| XiaoMaiDao | 71 |
| LianYunGang | 78 |
| LianYunGang | 79 |
| LianYunGang | 59 |
| LianYunGang | 67 |
| LianYunGang | 80 |
+-------------+------------+
SELECT station, visibility FROM air;
+-------------+------------+
| station | visibility |
+-------------+------------+
| XiaoMaiDao | 56 |
| XiaoMaiDao | 50 |
| XiaoMaiDao | 67 |
| XiaoMaiDao | 65 |
| XiaoMaiDao | 53 |
| XiaoMaiDao | 74 |
| XiaoMaiDao | 71 |
| LianYunGang | 78 |
| LianYunGang | 79 |
| LianYunGang | 59 |
| LianYunGang | 67 |
| LianYunGang | 80 |
| LianYunGang | 59 |
+-------------+------------+
别名
可以用AS
关键字为列表达式或表取别名
为列表达式取别名
语法
expression [ [ AS ] column_alias ]
示例
SELECT station s, visibility AS v FROM air;
+-------------+----+
| s | v |
+-------------+----+
| XiaoMaiDao | 56 |
| XiaoMaiDao | 50 |
| XiaoMaiDao | 67 |
| XiaoMaiDao | 65 |
| XiaoMaiDao | 53 |
| XiaoMaiDao | 74 |
| XiaoMaiDao | 71 |
| LianYunGang | 78 |
| LianYunGang | 79 |
| LianYunGang | 59 |
| LianYunGang | 67 |
| LianYunGang | 80 |
| LianYunGang | 59 |
+-------------+----+
为表取别名
你也可以用关键字AS
为表取别名。
语法
FROM tb_name [AS] alias_name
示例
SELECT a.visibility, s.temperature
FROM air AS a JOIN sea s ON a.temperature = s.temperature limit 10;
+------------+-------------+
| visibility | temperature |
+------------+-------------+
| 80.0 | 56.0 |
| 57.0 | 56.0 |
| 70.0 | 56.0 |
| 78.0 | 56.0 |
| 56.0 | 56.0 |
| 63.0 | 56.0 |
| 69.0 | 56.0 |
| 59.0 | 56.0 |
| 60.0 | 56.0 |
| 51.0 | 56.0 |
+------------+-------------+
SELECT限制
如果SELECT子句仅包含Tag列,相当于 SELECT DISTINCT Tag列
示例
-- station是Tag列,temperature是Field列
SELECT station, temperature FROM air;+-------------+-------------+
| station | temperature |
+-------------+-------------+
| XiaoMaiDao | 69 |
| XiaoMaiDao | 78 |
| XiaoMaiDao | 62 |
| XiaoMaiDao | 79 |
| XiaoMaiDao | 53 |
| XiaoMaiDao | 72 |
| XiaoMaiDao | 71 |
| LianYunGang | 69 |
| LianYunGang | 80 |
| LianYunGang | 74 |
| LianYunGang | 70 |
| LianYunGang | 70 |
| LianYunGang | 70 |
+-------------+-------------+-- station 是Tag列
SELECT station FROM air;+-------------+
| station |
+-------------+
| XiaoMaiDao |
| LianYunGang |
+-------------+
LIMIT 子句
语法
LIMIT n
限制返回结果集的行数为n,n必须非负。
示例
SELECT *
FROM air LIMIT 10;
+---------------------+-------------+------------+-------------+----------+
| time | station | visibility | temperature | pressure |
+---------------------+-------------+------------+-------------+----------+
| 2022-01-28 13:21:00 | XiaoMaiDao | 56 | 69 | 77 |
| 2022-01-28 13:24:00 | XiaoMaiDao | 50 | 78 | 66 |
| 2022-01-28 13:27:00 | XiaoMaiDao | 67 | 62 | 59 |
| 2022-01-28 13:30:00 | XiaoMaiDao | 65 | 79 | 77 |
| 2022-01-28 13:33:00 | XiaoMaiDao | 53 | 53 | 68 |
| 2022-01-28 13:36:00 | XiaoMaiDao | 74 | 72 | 68 |
| 2022-01-28 13:39:00 | XiaoMaiDao | 71 | 71 | 80 |
| 2022-01-28 13:21:00 | LianYunGang | 78 | 69 | 71 |
| 2022-01-28 13:24:00 | LianYunGang | 79 | 80 | 51 |
| 2022-01-28 13:27:00 | LianYunGang | 59 | 74 | 59 |
+---------------------+-------------+------------+-------------+----------+
OFFSET 子句
语法
OFFSET m
返回的结果集跳过 m 条记录, 默认 m=0。 示例
SELECT *
FROM air OFFSET 10;
+---------------------+-------------+------------+-------------+----------+
| time | station | visibility | temperature | pressure |
+---------------------+-------------+------------+-------------+----------+
| 2022-01-28 13:30:00 | LianYunGang | 67 | 70 | 72 |
| 2022-01-28 13:33:00 | LianYunGang | 80 | 70 | 68 |
| 2022-01-28 13:36:00 | LianYunGang | 59 | 70 | 54 |
+---------------------+-------------+------------+-------------+----------+
OFFSET
可以和LIMIT
语句配合使用,用于指定跳过的行数,格式为LIMIT n OFFSET m
。
其中:LIMIT n控制输出n行数据,OFFSET m表示在开始返回数据之前跳过的行数。
OFFSET 0与省略OFFSET子句效果相同。
示例
SELECT *
FROM air LIMIT 3 OFFSET 3;
+---------------------+------------+------------+-------------+----------+
| time | station | visibility | temperature | pressure |
+---------------------+------------+------------+-------------+----------+
| 2022-01-28 13:30:00 | XiaoMaiDao | 65 | 79 | 77 |
| 2022-01-28 13:33:00 | XiaoMaiDao | 53 | 53 | 68 |
| 2022-01-28 13:36:00 | XiaoMaiDao | 74 | 72 | 68 |
+---------------------+------------+------------+-------------+----------+
WITH 子句
语法
WITH cte AS cte_query_definiton [, ...] query
可选。WITH子句包含一个或多个常用的表达式CTE(Common Table Expression)。 CTE充当当前运行环境中的临时表,您可以在之后的查询中引用该表。CTE使用规则如下:
- 在同一WITH子句中的CTE必须具有唯一的名字。
- 在WITH子句中定义的CTE仅对在其后定义的同一WITH子句中的其他CTE可以使用。 假设A是子句中的第一个CTE,B是子句中的第二个CTE:
示例
SELECT station, avg
FROM ( SELECT station, AVG(visibility) AS avg
FROM air
GROUP BY station) AS x;
+-------------+--------------------+
| station | avg |
+-------------+--------------------+
| XiaoMaiDao | 62.285714285714285 |
| LianYunGang | 70.33333333333333 |
+-------------+--------------------+
WITH x AS
(SELECT station, AVG(visibility) AS avg FROM air GROUP BY station)
SELECT station, avg
FROM x;
+-------------+--------------------+
| station | avg |
+-------------+--------------------+
| XiaoMaiDao | 62.285714285714285 |
| LianYunGang | 70.33333333333333 |
+-------------+--------------------+
UNION 子句
UNION 子句用于合并多个 SELECT 语句的分析结果。
语法
select_clause_set_left
[ UNION | UNION ALL| EXCEPT | INTERSECT]
select_clause_set_right
[sort_list_columns] [limit_clause]
UNION
会对合并的结果集去重,
UNION ALL
保留合并的结果集中相同的数据
EXCEPT
会作两个结果集的差,从左查询中返回右查询没有找到的所有非重复值
INTERSECT
返回两个结果集的交集(即两个查询都返回的所有非重复值)。
注意
UNION 内每个 SELECT 子句必须拥有相同数量的列,对应列的数据类型相同。
示例
UNION ALL
SELECT visibility FROM air WHERE temperature < 60
UNION ALL
SELECT visibility FROM air WHERE temperature > 50 LIMIT 10;+------------+
| visibility |
+------------+
| 53 |
| 56 |
| 50 |
| 67 |
| 65 |
| 53 |
| 74 |
| 71 |
| 78 |
| 79 |
+------------+UNION
SELECT visibility FROM air WHERE temperature < 60
UNION
SELECT visibility FROM air WHERE temperature > 50 LIMIT 10;+------------+
| visibility |
+------------+
| 53 |
| 56 |
| 50 |
| 67 |
| 65 |
| 74 |
| 71 |
| 78 |
| 79 |
| 59 |
+------------+EXCEPT
SELECT visibility FROM air
EXCEPT
SELECT visibility FROM air WHERE temperature < 50 LIMIT 10;+------------+
| visibility |
+------------+
| 56 |
| 50 |
| 67 |
| 65 |
| 53 |
| 74 |
| 71 |
| 78 |
| 79 |
| 59 |
+------------+INTERSECT
SELECT visibility FROM air
INTERSECT
SELECT visibility FROM air WHERE temperature > 50 LIMIT 10;+------------+
| visibility |
+------------+
| 56 |
| 50 |
| 67 |
| 65 |
| 53 |
| 74 |
| 71 |
| 78 |
| 79 |
| 59 |
+------------+
ORDER BY 子句
按引用的表达式对结果进行排序。默认情况使用升序 (ASC)。通过在 ORDER BY 的表达式后添加 DESC 按降序排序。
示例
SELECT * FROM air ORDER BY temperature;
+---------------------+-------------+------------+-------------+----------+
| time | station | visibility | temperature | pressure |
+---------------------+-------------+------------+-------------+----------+
| 2022-01-28 13:33:00 | XiaoMaiDao | 53 | 53 | 68 |
| 2022-01-28 13:27:00 | XiaoMaiDao | 67 | 62 | 59 |
| 2022-01-28 13:21:00 | XiaoMaiDao | 56 | 69 | 77 |
| 2022-01-28 13:21:00 | LianYunGang | 78 | 69 | 71 |
| 2022-01-28 13:30:00 | LianYunGang | 67 | 70 | 72 |
| 2022-01-28 13:33:00 | LianYunGang | 80 | 70 | 68 |
| 2022-01-28 13:36:00 | LianYunGang | 59 | 70 | 54 |
| 2022-01-28 13:39:00 | XiaoMaiDao | 71 | 71 | 80 |
| 2022-01-28 13:36:00 | XiaoMaiDao | 74 | 72 | 68 |
| 2022-01-28 13:27:00 | LianYunGang | 59 | 74 | 59 |
| 2022-01-28 13:24:00 | XiaoMaiDao | 50 | 78 | 66 |
| 2022-01-28 13:30:00 | XiaoMaiDao | 65 | 79 | 77 |
| 2022-01-28 13:24:00 | LianYunGang | 79 | 80 | 51 |
+---------------------+-------------+------------+-------------+----------+
SELECT * FROM air ORDER BY temperature DESC;
+---------------------+-------------+------------+-------------+----------+
| time | station | visibility | temperature | pressure |
+---------------------+-------------+------------+-------------+----------+
| 2022-01-28 13:24:00 | LianYunGang | 79 | 80 | 51 |
| 2022-01-28 13:30:00 | XiaoMaiDao | 65 | 79 | 77 |
| 2022-01-28 13:24:00 | XiaoMaiDao | 50 | 78 | 66 |
| 2022-01-28 13:27:00 | LianYunGang | 59 | 74 | 59 |
| 2022-01-28 13:36:00 | XiaoMaiDao | 74 | 72 | 68 |
| 2022-01-28 13:39:00 | XiaoMaiDao | 71 | 71 | 80 |
| 2022-01-28 13:30:00 | LianYunGang | 67 | 70 | 72 |
| 2022-01-28 13:33:00 | LianYunGang | 80 | 70 | 68 |
| 2022-01-28 13:36:00 | LianYunGang | 59 | 70 | 54 |
| 2022-01-28 13:21:00 | XiaoMaiDao | 56 | 69 | 77 |
| 2022-01-28 13:21:00 | LianYunGang | 78 | 69 | 71 |
| 2022-01-28 13:27:00 | XiaoMaiDao | 67 | 62 | 59 |
| 2022-01-28 13:33:00 | XiaoMaiDao | 53 | 53 | 68 |
+---------------------+-------------+------------+-------------+----------+
SELECT * FROM air ORDER BY station, temperature;
+---------------------+-------------+------------+-------------+----------+
| time | station | visibility | temperature | pressure |
+---------------------+-------------+------------+-------------+----------+
| 2022-01-28 13:21:00 | LianYunGang | 78 | 69 | 71 |
| 2022-01-28 13:30:00 | LianYunGang | 67 | 70 | 72 |
| 2022-01-28 13:33:00 | LianYunGang | 80 | 70 | 68 |
| 2022-01-28 13:36:00 | LianYunGang | 59 | 70 | 54 |
| 2022-01-28 13:27:00 | LianYunGang | 59 | 74 | 59 |
| 2022-01-28 13:24:00 | LianYunGang | 79 | 80 | 51 |
| 2022-01-28 13:33:00 | XiaoMaiDao | 53 | 53 | 68 |
| 2022-01-28 13:27:00 | XiaoMaiDao | 67 | 62 | 59 |
| 2022-01-28 13:21:00 | XiaoMaiDao | 56 | 69 | 77 |
| 2022-01-28 13:39:00 | XiaoMaiDao | 71 | 71 | 80 |
| 2022-01-28 13:36:00 | XiaoMaiDao | 74 | 72 | 68 |
| 2022-01-28 13:24:00 | XiaoMaiDao | 50 | 78 | 66 |
| 2022-01-28 13:30:00 | XiaoMaiDao | 65 | 79 | 77 |
+---------------------+-------------+------------+-------------+----------+
IN
IN 操作符允许您在 WHERE 子句中规定多个值。
示例
SELECT station, temperature, visibility FROM air WHERE temperature IN (68, 69);
+-------------+-------------+------------+
| station | temperature | visibility |
+-------------+-------------+------------+
| XiaoMaiDao | 69 | 56 |
| LianYunGang | 69 | 78 |
+-------------+-------------+------------+
注意
IN 列表暂不支持表达式,暂时只支持常量
SHOW
语法
SHOW {DATABASES | TABLES | QUERIES}
显示所有数据库,或显示所有表, 或正在执行的SQL
示例
SHOW DATABASES;
+----------+
| Database |
+----------+
| public |
+----------+
SHOW TABLES;
+-------+
| Table |
+-------+
| sea |
| air |
| wind |
+-------+
SHOW QUERIES;
+----------+------------------------------------------------------------------+-----------------------------------------+-----------+----------------------------------------+-------------+------------+--------------+
| query_id | query_text | user_id | user_name | tenant_id | tenant_name | state | duration |
+----------+------------------------------------------------------------------+-----------------------------------------+-----------+----------------------------------------+-------------+------------+--------------+
| 36 | select * FROM air join sea ON air.temperature = sea.temperature; | 108709109615072923019194003831375742761 | root | 13215126763611749424716665303609634152 | cnosdb | SCHEDULING | 12.693345666 |
+----------+------------------------------------------------------------------+-----------------------------------------+-----------+----------------------------------------+-------------+------------+--------------+
关于 SHOW QUERIES 语句的详细信息,可以在系统表 QUERIES 查看
EXPLAIN
语法
EXPLAIN [ ANALYZE ] [ VERBOSE ] <statement>;
说明
EXPLAIN
语句仅用于显示查询的执行计划,而不执行查询。
EXPLAIN ANALYZE
执行查询,并显示查询的执行计划。
EXPLAIN ANALYZE VERBOSE
执行查询,并显示更详细的执行计划,包括读取的行数等。
示例
EXPLAIN SELECT station, temperature, visibility FROM air;
+---------------+-----------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+-----------------------------------------------------------------------------------------------------------------------------+
| logical_plan | Projection: #air.station, #air.temperature, #air.visibility |
| | TableScan: air projection=[station, visibility, temperature] |
| physical_plan | ProjectionExec: expr=[station@0 as station, temperature@2 as temperature, visibility@1 as visibility] |
| | TskvExec: limit=None, predicate=ColumnDomains { column_to_domain: Some({}) }, projection=[station,visibility,temperature] |
| | |
+---------------+-----------------------------------------------------------------------------------------------------------------------------+
EXPLAIN ANALYZE SELECT station, temperature, visibility FROM air;
+-------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+-------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Plan with Metrics | ProjectionExec: expr=[station@0 as station, temperature@2 as temperature, visibility@1 as visibility], metrics=[output_rows=13, elapsed_compute=20.375µs, spill_count=0, spilled_bytes=0, mem_used=0] |
| | TskvExec: limit=None, predicate=ColumnDomains { column_to_domain: Some({}) }, projection=[station,visibility,temperature], metrics=[output_rows=13, elapsed_compute=15.929624ms, spill_count=0, spilled_bytes=0, mem_used=0, elapsed_series_scan=1.698791ms, elapsed_point_to_record_batch=4.572954ms, elapsed_field_scan=5.119076ms] |
| | |
+-------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
EXPLAIN ANALYZE SELECT station, temperature, visibility FROM air;
+-------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+-------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Plan with Metrics | ProjectionExec: expr=[station@0 as station, temperature@2 as temperature, visibility@1 as visibility], metrics=[output_rows=13, elapsed_compute=20.375µs, spill_count=0, spilled_bytes=0, mem_used=0] |
| | TskvExec: limit=None, predicate=ColumnDomains { column_to_domain: Some({}) }, projection=[station,visibility,temperature], metrics=[output_rows=13, elapsed_compute=15.929624ms, spill_count=0, spilled_bytes=0, mem_used=0, elapsed_series_scan=1.698791ms, elapsed_point_to_record_batch=4.572954ms, elapsed_field_scan=5.119076ms] |
| | |
+-------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
EXPLAIN ANALYZE VERBOSE SELECT station, temperature, visibility FROM air;
+------------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+------------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Plan with Metrics | ProjectionExec: expr=[station@0 as station, temperature@2 as temperature, visibility@1 as visibility], metrics=[output_rows=13, elapsed_compute=26.75µs, spill_count=0, spilled_bytes=0, mem_used=0] |
| | TskvExec: limit=None, predicate=ColumnDomains { column_to_domain: Some({}) }, projection=[station,visibility,temperature], metrics=[output_rows=13, elapsed_compute=13.225875ms, spill_count=0, spilled_bytes=0, mem_used=0, elapsed_point_to_record_batch=3.918163ms, elapsed_field_scan=3.992161ms, elapsed_series_scan=1.657416ms] |
| | |
| Plan with Full Metrics | ProjectionExec: expr=[station@0 as station, temperature@2 as temperature, visibility@1 as visibility], metrics=[start_timestamp{partition=0}=2022-10-25 03:00:14.865034 UTC, end_timestamp{partition=0}=2022-10-25 03:00:14.879596 UTC, elapsed_compute{partition=0}=26.75µs, spill_count{partition=0}=0, spilled_bytes{partition=0}=0, mem_used{partition=0}=0, output_rows{partition=0}=13] |
| | TskvExec: limit=None, predicate=ColumnDomains { column_to_domain: Some({}) }, projection=[station,visibility,temperature], metrics=[start_timestamp{partition=0}=2022-10-25 03:00:14.864225 UTC, end_timestamp{partition=0}=2022-10-25 03:00:14.879596 UTC, elapsed_compute{partition=0}=13.225875ms, spill_count{partition=0}=0, spilled_bytes{partition=0}=0, mem_used{partition=0}=0, output_rows{partition=0}=13, elapsed_point_to_record_batch{partition=0}=3.918163ms, elapsed_field_scan{partition=0}=3.992161ms, elapsed_series_scan{partition=0}=1.657416ms] |
| | |
| Output Rows | 13 |
| Duration | 13.307708ms |
+------------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
DESCRIBE
语法
DESCRIBE {DATABASE db_name | TABLE tb_name};
描述数据库的参数,描述表的模式
示例
DESCRIBE TABLE air;
+-------------+-----------+-------+-------------+
| FIELDNAME | TYPE | ISTAG | COMPRESSION |
+-------------+-----------+-------+-------------+
| time | TIMESTAMP | false | Default |
| station | STRING | true | Default |
| visibility | DOUBLE | false | Default |
| temperature | DOUBLE | false | Default |
| pressure | DOUBLE | false | Default |
+-------------+-----------+-------+-------------+
DESCRIBE DATABASE public;
+----------+-------+----------------+---------+-----------+
| TTL | SHARD | VNODE_DURATION | REPLICA | PRECISION |
+----------+-------+----------------+---------+-----------+
| 365 Days | 1 | 365 Days | 1 | NS |
+----------+-------+----------------+---------+-----------+