The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
 
grafana/public/app/plugins/datasource/mysql/MySqlDatasource.ts

106 lines
3.9 KiB

import { DataSourceInstanceSettings, TimeRange } from '@grafana/data';
import { CompletionItemKind, LanguageDefinition, TableIdentifier } from '@grafana/experimental';
import { SqlDatasource } from 'app/features/plugins/sql/datasource/SqlDatasource';
import { DB, SQLQuery } from 'app/features/plugins/sql/types';
import { formatSQL } from 'app/features/plugins/sql/utils/formatSQL';
import { mapFieldsToTypes } from './fields';
import { buildColumnQuery, buildTableQuery, showDatabases } from './mySqlMetaQuery';
import { getSqlCompletionProvider } from './sqlCompletionProvider';
import { quoteIdentifierIfNecessary, quoteLiteral, toRawSql } from './sqlUtil';
import { MySQLOptions } from './types';
export class MySqlDatasource extends SqlDatasource {
sqlLanguageDefinition: LanguageDefinition | undefined;
constructor(private instanceSettings: DataSourceInstanceSettings<MySQLOptions>) {
super(instanceSettings);
}
getQueryModel() {
return { quoteLiteral };
}
getSqlLanguageDefinition(): LanguageDefinition {
if (this.sqlLanguageDefinition !== undefined) {
return this.sqlLanguageDefinition;
}
const args = {
getMeta: (identifier?: TableIdentifier) => this.fetchMeta(identifier),
};
this.sqlLanguageDefinition = {
id: 'mysql',
completionProvider: getSqlCompletionProvider(args),
formatter: formatSQL,
};
return this.sqlLanguageDefinition;
}
async fetchDatasets(): Promise<string[]> {
const datasets = await this.runSql<string[]>(showDatabases(), { refId: 'datasets' });
return datasets.map((t) => quoteIdentifierIfNecessary(t[0]));
}
async fetchTables(dataset?: string): Promise<string[]> {
const tables = await this.runSql<string[]>(buildTableQuery(dataset), { refId: 'tables' });
return tables.map((t) => quoteIdentifierIfNecessary(t[0]));
}
async fetchFields(query: Partial<SQLQuery>) {
if (!query.dataset || !query.table) {
return [];
}
const queryString = buildColumnQuery(query.table, query.dataset);
const frame = await this.runSql<string[]>(queryString, { refId: 'fields' });
const fields = frame.map((f) => ({
name: f[0],
text: f[0],
value: quoteIdentifierIfNecessary(f[0]),
type: f[1],
label: f[0],
}));
return mapFieldsToTypes(fields);
}
async fetchMeta(identifier?: TableIdentifier) {
const defaultDB = this.instanceSettings.jsonData.database;
if (!identifier?.schema && defaultDB) {
const tables = await this.fetchTables(defaultDB);
return tables.map((t) => ({ name: t, completion: `${defaultDB}.${t}`, kind: CompletionItemKind.Class }));
} else if (!identifier?.schema && !defaultDB) {
const datasets = await this.fetchDatasets();
return datasets.map((d) => ({ name: d, completion: `${d}.`, kind: CompletionItemKind.Module }));
} else {
if (!identifier?.table && (!defaultDB || identifier?.schema)) {
const tables = await this.fetchTables(identifier?.schema);
return tables.map((t) => ({ name: t, completion: t, kind: CompletionItemKind.Class }));
} else if (identifier?.table && identifier.schema) {
const fields = await this.fetchFields({ dataset: identifier.schema, table: identifier.table });
return fields.map((t) => ({ name: t.name, completion: t.value, kind: CompletionItemKind.Field }));
} else {
return [];
}
}
}
getDB(): DB {
if (this.db !== undefined) {
return this.db;
}
return {
datasets: () => this.fetchDatasets(),
tables: (dataset?: string) => this.fetchTables(dataset),
fields: (query: SQLQuery) => this.fetchFields(query),
validateQuery: (query: SQLQuery, _range?: TimeRange) =>
Promise.resolve({ query, error: '', isError: false, isValid: true }),
dsID: () => this.id,
toRawSql,
functions: () => ['VARIANCE', 'STDDEV'],
getEditorLanguageDefinition: () => this.getSqlLanguageDefinition(),
};
}
}