rust/greptimedb
1
0
Fork 0
mirror of https://github.com/GreptimeTeam/greptimedb.git synced 2026-01-16 18:22:55 +00:00
Code Issues Packages Projects Releases Wiki Activity

feat: adds metric engine to information_schema engines table (#3599)

Browse Source 
* feat: adds metric engine to information_schema engines table

* fix: support value for metric engine
This commit is contained in:
dennis zhuang
2024-03-27 23:37:34 -07:00
committed by GitHub
parent 92a8e863de
commit 5d7ce08358
2 changed files with 15 additions and 11 deletions
Download Patch File Download Diff File Expand all files Collapse all files

15
src/catalog/src/information_schema/memory_table/tables.rs
View File

@@ -14,13 +14,15 @@
use std::sync::Arc;
use common_catalog::consts::MITO_ENGINE;
use common_catalog::consts::{METRIC_ENGINE, MITO_ENGINE};
use datatypes::prelude::{ConcreteDataType, VectorRef};
use datatypes::schema::{ColumnSchema, Schema, SchemaRef};
use datatypes::vectors::{Int64Vector, StringVector};
use crate::information_schema::table_names::*;
const NO_VALUE: &str = "NO";
/// Find the schema and columns by the table_name, only valid for memory tables.
/// Safety: the user MUST ensure the table schema exists, panic otherwise.
pub fn get_schema_columns(table_name: &str) -> (SchemaRef, Vec<VectorRef>) {
@@ -59,14 +61,15 @@ pub fn get_schema_columns(table_name: &str) -> (SchemaRef, Vec<VectorRef>) {
"SAVEPOINTS",
]),
vec![
Arc::new(StringVector::from(vec![MITO_ENGINE])),
Arc::new(StringVector::from(vec!["DEFAULT"])),
Arc::new(StringVector::from(vec![MITO_ENGINE, METRIC_ENGINE])),
Arc::new(StringVector::from(vec!["DEFAULT", "YES"])),
Arc::new(StringVector::from(vec![
"Storage engine for time-series data",
"Storage engine for observability scenarios, which is adept at handling a large number of small tables, making it particularly suitable for cloud-native monitoring",
])),
Arc::new(StringVector::from(vec!["NO"])),
Arc::new(StringVector::from(vec!["NO"])),
Arc::new(StringVector::from(vec!["NO"])),
Arc::new(StringVector::from(vec![NO_VALUE, NO_VALUE])),
Arc::new(StringVector::from(vec![NO_VALUE, NO_VALUE])),
Arc::new(StringVector::from(vec![NO_VALUE, NO_VALUE])),
],
),

11
tests/cases/standalone/common/system/information_schema.result
View File

@@ -512,11 +512,12 @@ select * from schemata where catalog_name = 'greptime' and schema_name != 'publi
-- test engines
select * from engines;
+--------+---------+-------------------------------------+--------------+----+------------+
| engine | support | comment | transactions | xa | savepoints |
+--------+---------+-------------------------------------+--------------+----+------------+
| mito | DEFAULT | Storage engine for time-series data | NO | NO | NO |
+--------+---------+-------------------------------------+--------------+----+------------+
+--------+---------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------+--------------+----+------------+
| engine | support | comment | transactions | xa | savepoints |
+--------+---------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------+--------------+----+------------+
| mito | DEFAULT | Storage engine for time-series data | NO | NO | NO |
| metric | YES | Storage engine for observability scenarios, which is adept at handling a large number of small tables, making it particularly suitable for cloud-native monitoring | NO | NO | NO |
+--------+---------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------+--------------+----+------------+
desc table build_info;