api/v1/
helper.rs

1// Copyright 2023 Greptime Team
2//
3// Licensed under the Apache License, Version 2.0 (the "License");
4// you may not use this file except in compliance with the License.
5// You may obtain a copy of the License at
6//
7//     http://www.apache.org/licenses/LICENSE-2.0
8//
9// Unless required by applicable law or agreed to in writing, software
10// distributed under the License is distributed on an "AS IS" BASIS,
11// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12// See the License for the specific language governing permissions and
13// limitations under the License.
14
15use greptime_proto::v1::value::ValueData;
16use greptime_proto::v1::{ColumnDataType, ColumnSchema, Row, SemanticType, Value};
17
18/// Create a time index [ColumnSchema] with column's name and datatype.
19/// Other fields are left default.
20/// Useful when you just want to create a simple [ColumnSchema] without providing much struct fields.
21pub fn time_index_column_schema(name: &str, datatype: ColumnDataType) -> ColumnSchema {
22    ColumnSchema {
23        column_name: name.to_string(),
24        datatype: datatype as i32,
25        semantic_type: SemanticType::Timestamp as i32,
26        ..Default::default()
27    }
28}
29
30/// Create a tag [ColumnSchema] with column's name and datatype.
31/// Other fields are left default.
32/// Useful when you just want to create a simple [ColumnSchema] without providing much struct fields.
33pub fn tag_column_schema(name: &str, datatype: ColumnDataType) -> ColumnSchema {
34    ColumnSchema {
35        column_name: name.to_string(),
36        datatype: datatype as i32,
37        semantic_type: SemanticType::Tag as i32,
38        ..Default::default()
39    }
40}
41
42/// Create a field [ColumnSchema] with column's name and datatype.
43/// Other fields are left default.
44/// Useful when you just want to create a simple [ColumnSchema] without providing much struct fields.
45pub fn field_column_schema(name: &str, datatype: ColumnDataType) -> ColumnSchema {
46    ColumnSchema {
47        column_name: name.to_string(),
48        datatype: datatype as i32,
49        semantic_type: SemanticType::Field as i32,
50        ..Default::default()
51    }
52}
53
54/// Create a [Row] from [ValueData]s.
55/// Useful when you don't want to write much verbose codes.
56pub fn row(values: Vec<ValueData>) -> Row {
57    Row {
58        values: values
59            .into_iter()
60            .map(|x| Value {
61                value_data: Some(x),
62            })
63            .collect::<Vec<_>>(),
64    }
65}
api/v1/helper.rs

api/v1/
helper.rs
