The simple platform to build data stories.
Emit new event when you add or modify a new row in a table. See the docs here
Emit new event when new rows are returned from a custom query. See the docs here
Emit new event when a new table is added to a database. See the docs here
Builds a graph object from scratch and publishes it. See the documentation
Builds a graph object from a template and publishes it. See the documentation.
import { ChartType } from 'columns-graph-model';
import { Columns } from 'columns-sdk';
export default defineComponent({
props: {
columns_ai: {
type: "app",
app: "columns_ai",
}
},
async run({steps, $}) {
const rows = [{
"value": 312,
"state": "WA",
"parent": "US"
}];// rows is an example data set where you should organize your data in a similar way.
//Instantiates a Columns SDK object with your API Key.
const columns = new Columns(this.columns_ai.$auth.api_key);
const data = columns.data(['state'], ['value'], rows);
const graph = columns.graph(data);
// switch to different chart types: BAR, PIE, DOUGHGUT, LINE, AREA, SCATTER, etc.
graph.type = ChartType.COLUMN;
// customise the graph (lots of options in its data model)
graph.settings.general.palette = ['#ff0000', '#00ff00', '#0000ff'];
graph.settings.general.background = '#00000002';
return graph;
},
})
The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.
import mysql from '@pipedream/mysql';
export default defineComponent({
props: {
mysql,
},
async run({steps, $}) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql
const queryObj = {
sql: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.mysql.executeQuery(queryObj);
},
});