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# Display race | ||
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```js echo | ||
async function sleep(ms) { | ||
return new Promise((resolve) => setTimeout(resolve, ms)); | ||
} | ||
``` | ||
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```js echo | ||
const value = (function* () { | ||
yield 2000; | ||
yield 1000; | ||
})(); | ||
``` | ||
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```js echo | ||
await sleep(value); | ||
display(value); | ||
``` |
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--- | ||
sql: | ||
gaia: ./lib/gaia-sample.parquet | ||
--- | ||
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# SQL <a href="https://github.com/observablehq/framework/releases/tag/v1.2.0" target="_blank" class="observablehq-version-badge" data-version="1.2.0" title="Added in v1.2.0"></a> | ||
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Observable Framework includes built-in support for client-side SQL powered by [DuckDB](./lib/duckdb). You can use SQL to query data from [CSV](./lib/csv), [TSV](./lib/csv), [JSON](./javascript/files#json), [Apache Arrow](./lib/arrow), and [Apache Parquet](./lib/arrow#apache-parquet) files, which can either be static or generated by [data loaders](./loaders). | ||
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To use SQL, first register the desired tables in the page’s [front matter](./markdown#front-matter) using the **sql** option. Each key is a table name, and each value is the path to the corresponding data file. For example, to register a table named `gaia` from a Parquet file: | ||
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```yaml | ||
--- | ||
sql: | ||
gaia: ./lib/gaia-sample.parquet | ||
--- | ||
``` | ||
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## SQL code blocks | ||
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To run SQL queries, create a SQL fenced code block (<code>```sql</code>). For example, to query the first 10 rows from the `gaia` table: | ||
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````md | ||
```sql | ||
SELECT * FROM gaia ORDER BY phot_g_mean_mag LIMIT 10 | ||
``` | ||
```` | ||
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This produces a table: | ||
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```sql | ||
SELECT * FROM gaia ORDER BY phot_g_mean_mag LIMIT 10 | ||
``` | ||
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To refer to the results of a query in JavaScript, use the `id` directive. For example, to refer to the results of the previous query as `top10`: | ||
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````md | ||
```sql id=top10 | ||
SELECT * FROM gaia ORDER BY phot_g_mean_mag LIMIT 10 | ||
``` | ||
```` | ||
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```sql id=top10 | ||
SELECT * FROM gaia ORDER BY phot_g_mean_mag LIMIT 10 | ||
``` | ||
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This returns an array of 10 rows, inspected here: | ||
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```js echo | ||
top10 | ||
``` | ||
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When a SQL code block uses the `id` directive, the results are not displayed by default. You can display them by adding the `display` directive, which produces the table shown above. | ||
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````md | ||
```sql id=top10 display | ||
SELECT * FROM gaia ORDER BY phot_g_mean_mag LIMIT 10 | ||
``` | ||
```` | ||
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The `id` directive is often a simple identifier such as `top10` above, but it supports [destructuring assignment](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Operators/Destructuring_assignment), so you can refer to individual rows and columns using array and object patterns. For example, to pull out the top row: | ||
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````md | ||
```sql id=[top] | ||
SELECT * FROM gaia ORDER BY phot_g_mean_mag LIMIT 1 | ||
``` | ||
```` | ||
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```sql id=[top] | ||
SELECT * FROM gaia ORDER BY phot_g_mean_mag LIMIT 1 | ||
``` | ||
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```js echo | ||
top | ||
``` | ||
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Or to pull out the minimum value of the `phot_g_mean_mag` column: | ||
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````md | ||
```sql id=[{min}] | ||
SELECT MIN(phot_g_mean_mag) AS min FROM gaia | ||
``` | ||
```` | ||
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```sql id=[{min}] | ||
SELECT MIN(phot_g_mean_mag) AS min FROM gaia | ||
``` | ||
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```js echo | ||
min | ||
``` | ||
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<div class="tip"> | ||
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For complex destructuring patterns, you may need to quote the `id` directive. For example, to pull out the column named `min(phot_g_mean_mag)` to the variable named `min`, say <code style="white-space: nowrap;">id="[{'min(phot_g_mean_mag)': min}]"</code>. Or to pull out the `min` and `max` columns, say <code style="white-space: nowrap;">id="[{min, max}]"</code>. | ||
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</div> | ||
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For dynamic or interactive queries that respond to user input, you can interpolate values into SQL queries using inline expressions `${…}`. For example, to show the stars around a given brightness: | ||
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```js echo | ||
const mag = view(Inputs.range([6, 20], {label: "Magnitude"})); | ||
``` | ||
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```sql echo | ||
SELECT * FROM gaia WHERE phot_g_mean_mag BETWEEN ${mag - 0.1} AND ${mag + 0.1}; | ||
``` | ||
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The value of a SQL code block is an [Apache Arrow](./lib/arrow) table. This format is supported by [Observable Plot](./lib/plot), so you can use SQL and Plot together to visualize data. For example, below we count the number of stars in each 2°×2° bin of the sky (where `ra` is [right ascension](https://en.wikipedia.org/wiki/Right_ascension) and `dec` is [declination](https://en.wikipedia.org/wiki/Declination), representing a point on the celestial sphere in the equatorial coordinate system), and then visualize the resulting heatmap using a [raster mark](https://observablehq.com/plot/marks/raster). | ||
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```sql id=bins echo | ||
SELECT | ||
floor(ra / 2) * 2 + 1 AS ra, | ||
floor(dec / 2) * 2 + 1 AS dec, | ||
count() AS count | ||
FROM | ||
gaia | ||
GROUP BY | ||
1, | ||
2 | ||
``` | ||
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```js echo | ||
Plot.plot({ | ||
aspectRatio: 1, | ||
x: {domain: [0, 360]}, | ||
y: {domain: [-90, 90]}, | ||
marks: [ | ||
Plot.frame({fill: 0}), | ||
Plot.raster(bins, { | ||
x: "ra", | ||
y: "dec", | ||
fill: "count", | ||
width: 360 / 2, | ||
height: 180 / 2, | ||
imageRendering: "pixelated" | ||
}) | ||
] | ||
}) | ||
``` | ||
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## SQL literals | ||
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SQL fenced code blocks are shorthand for the `sql` tagged template literal. You can invoke the `sql` tagged template literal directly like so: | ||
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```js echo | ||
const rows = await sql`SELECT random() AS random`; | ||
``` | ||
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```js echo | ||
rows[0].random | ||
``` | ||
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The `sql` tagged template literal is available by default in Markdown, but you can also import it explicitly as: | ||
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```js echo | ||
import {sql} from "npm:@observablehq/duckdb"; | ||
``` |
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