lightdash / developing-in-lightdash
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Build, configure, and deploy Lightdash analytics projects. Supports both dbt projects with embedded Lightdash metadata and pure Lightdash YAML projects without dbt. Create metrics, dimensions, charts, and dashboards using the Lightdash CLI.
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---
name: developing-in-lightdash
description: Use when working with Lightdash YAML files, dbt models with Lightdash metadata, the lightdash CLI (deploy, upload, download, preview, lint, sql, set-warehouse), or creating/editing charts, dashboards, metrics, and dimensions as code
---
# Developing in Lightdash
Build and deploy Lightdash analytics projects. This skill covers the **semantic layer** (metrics, dimensions, joins) and **content** (charts, dashboards).
## When to Use
- Working with Lightdash YAML files (charts, dashboards, models as code)
- Using the `lightdash` CLI (`deploy`, `upload`, `download`, `preview`, `lint`, `sql`)
- Defining metrics, dimensions, joins, or tables in dbt or pure Lightdash projects
- Creating or editing charts and dashboards as code
**Don't use for:** Developing the Lightdash application itself (use the codebase CLAUDE.md), general dbt work without Lightdash metadata, or raw SQL unrelated to Lightdash models.
## What You Can Do
| Task | Commands | References |
|------|----------|------------|
| Explore data warehouse | `lightdash sql` to execute raw sql, read .csv results | [CLI Reference](./resources/cli-reference.md) |
| Define metrics & dimensions | Edit dbt YAML or Lightdash YAML | [Metrics](./resources/metrics-reference.md), [Dimensions](./resources/dimensions-reference.md) |
| Create charts | `lightdash download`, edit YAML, `lightdash upload` | [Chart Types](#chart-types) |
| Build dashboards | `lightdash download`, edit YAML, `lightdash upload` | [Dashboard Reference](./resources/dashboard-reference.md) |
| Lint yaml files | `lightdash lint` | [CLI Reference](./resources/cli-reference.md) |
| Set warehouse connection | `lightdash set-warehouse` from profiles.yml | [CLI Reference](./resources/cli-reference.md) |
| Deploy changes | `lightdash deploy` (semantic layer), `lightdash upload` (content) | [CLI Reference](./resources/cli-reference.md) |
| Test changes | `lightdash preview` | [Workflows](./resources/workflows-reference.md) |
## Common Mistakes
| Mistake | Consequence | Prevention |
|---------|-------------|------------|
| **Guessing filter values** | Case mismatches (`'Payment'` vs `'payment'`) cause charts to silently return no data | Always run `lightdash sql "SELECT DISTINCT column FROM table LIMIT 50" -o values.csv` and use exact values |
| **Not updating dashboard tiles after renaming a chart** | Dashboard tile still shows old title — `title` and `chartName` are independent overrides that do NOT auto-update | Download the dashboard, find tiles with matching `chartSlug`, update `title` and `chartName` to match |
| **Including unused dimensions in metricQuery** | "Results may be incorrect" warning — extra dimensions change SQL grouping and produce wrong numbers | Every dimension in `metricQuery.dimensions` must appear in the chart config. For cartesian: `layout.xField`, `layout.yField`, or `pivotConfig.columns` |
| **Deploying to wrong project** | Overwrites production content | Always run `lightdash config get-project` before deploying |
| **Missing `contentType` field** | Content type can't be determined without relying on directory structure | Always include `contentType: chart`, `contentType: dashboard`, or `contentType: sql_chart` at the top level |
## Before You Start
### Check Your Target Project
**Always verify which project you're deploying to.** Deploying to the wrong project can overwrite production content.
```bash
lightdash config get-project # Show current project
lightdash config list-projects # List available projects
lightdash config set-project --name "My Project" # Switch project
```
### Detect Your Project Type
**The YAML syntax differs significantly between project types.**
| Type | Detection | Key Difference |
|------|-----------|----------------|
| **dbt Project** | Has `dbt_project.yml` | Metadata nested under `meta:` |
| **Pure Lightdash** | Has `lightdash.config.yml`, no dbt | Top-level properties |
```bash
ls dbt_project.yml 2>/dev/null && echo "dbt project" || echo "Not dbt"
ls lightdash.config.yml 2>/dev/null && echo "Pure Lightdash" || echo "Not pure Lightdash"
```
### Syntax Comparison
**dbt YAML** (metadata under `meta:`):
```yaml
models:
- name: orders
meta:
metrics:
total_revenue:
type: sum
sql: "${TABLE}.amount"
columns:
- name: status
meta:
dimension:
type: string
```
**Pure Lightdash YAML** (top-level):
```yaml
type: model
name: orders
sql_from: 'DB.SCHEMA.ORDERS'
metrics:
total_revenue:
type: sum
sql: ${TABLE}.amount
dimensions:
- name: status
sql: ${TABLE}.STATUS
type: string
```
## Setting Up Warehouse Connection
If the project needs a different warehouse connection (e.g., switching from Postgres to BigQuery), update it from your profiles.yml:
```bash
lightdash set-warehouse --project-dir ./dbt --profiles-dir ./profiles --assume-yes
```
This reads credentials from profiles.yml, updates the warehouse connection on the currently selected project, and triggers a recompile. Run this before `lightdash deploy`.
To target a specific project:
```bash
lightdash set-warehouse --project-dir ./dbt --profiles-dir ./profiles --project <uuid> --assume-yes
```
## Core Workflows
### Verify Filter Values Before Using Them
**CRITICAL**: Never guess filter values. Case mismatches (e.g., `'Payment'` vs `'payment'`) cause charts to silently return no data.
**Before writing any string filter**, query actual values from the warehouse:
```bash
lightdash sql "SELECT DISTINCT category FROM payments LIMIT 50" -o category_values.csv
```
Read the CSV and use the **exact values** in your filter YAML. This applies to all `equals`/`notEquals` filters with string values — in charts and dashboards.
### Editing Metrics & Dimensions
1. **Find the model YAML file** (dbt: `models/*.yml`, pure Lightdash: `lightdash/models/*.yml`)
2. **Edit metrics/dimensions** using the appropriate syntax for your project type
3. **Validate**: `lightdash lint` (pure Lightdash) or `dbt compile` (dbt projects)
4. **Deploy**: `lightdash deploy`
See [Metrics Reference](./resources/metrics-reference.md) and [Dimensions Reference](./resources/dimensions-reference.md) for configuration options.
### Editing Charts
1. **Download**: `lightdash download --charts chart-slug`
2. **Edit** the YAML file in `lightdash/` directory
3. **Verify filter values**: If you added or changed filters, use `lightdash sql` to check actual column values (see [Common Mistakes](#common-mistakes))
4. **Update dashboard tiles**: If you changed the chart's name or purpose, download any dashboards that reference it and update their tile `title` and `chartName` properties to match (see [Common Mistakes](#common-mistakes))
5. **Lint**: `lightdash lint` to validate before uploading
6. **Upload**: `lightdash upload --charts chart-slug` (and any modified dashboards)
**Dashboard tiles have their own titles.** A `saved_chart` tile's `title` and `chartName` properties are independent overrides — they do NOT auto-update when you rename the chart. If you change a chart from "Total Revenue" to "Gross Profit" but don't update the dashboard tile, the dashboard will still display "Total Revenue". Always download the dashboard, find tiles with matching `chartSlug`, and update their `title` and `chartName` to match.
```yaml
# Dashboard tile — title and chartName must be updated manually when chart changes
tiles:
- type: saved_chart
properties:
chartSlug: total-revenue-kpi
title: "Gross Profit" # ← Update this when chart name/purpose changes
chartName: "Gross Profit" # ← Update this too
```
### Editing Dashboards
1. **Download**: `lightdash download --dashboards dashboard-slug`
2. **Edit** the YAML file in `lightdash/` directory
3. **Verify filter values**: If you added or changed filters, use `lightdash sql` to check actual column values (see [Common Mistakes](#common-mistakes))
4. **Lint**: `lightdash lint` to validate before uploading
5. **Upload**: `lightdash upload --dashboards dashboard-slug`
### Creating New Content
Charts and dashboards are typically created in the UI first, then managed as code:
1. Create in UI
2. `lightdash download` to pull as YAML
3. Edit and version control
4. `lightdash lint` to validate before uploading
5. `lightdash upload` to sync changes
### Testing with Preview
For larger changes, test in isolation:
```bash
lightdash preview --name "my-feature"
# Make changes and iterate
lightdash stop-preview --name "my-feature"
```
## CLI Quick Reference
| Command | Purpose |
|---------|---------|
| `lightdash deploy` | Sync semantic layer (metrics, dimensions) |
| `lightdash upload` | Upload charts/dashboards |
| `lightdash download` | Download charts/dashboards as YAML |
| `lightdash lint` | Validate YAML locally |
| `lightdash preview` | Create temporary test project |
| `lightdash sql "..." -o file.csv` | Run SQL queries against warehouse |
| `lightdash run-chart -p chart.yml` | Execute chart YAML query against warehouse |
See [CLI Reference](./resources/cli-reference.md) for full command documentation.
## Semantic Layer
The semantic layer defines your data model. See individual references for full configuration:
- [Tables Reference](./resources/tables-reference.md) — queryable entities, labels, joins
- [Metrics Reference](./resources/metrics-reference.md) — aggregated calculations (`count`, `sum`, `average`, `min`, `max`, `number`, etc.)
- [Dimensions Reference](./resources/dimensions-reference.md) — attributes for grouping/filtering (`string`, `number`, `boolean`, `date`, `timestamp`)
- [Joins Reference](./resources/joins-reference.md) — cross-table relationships
## Chart Types
All charts share a common base structure:
```yaml
contentType: chart # Required: chart, dashboard, or sql_chart
chartConfig:
type: <type>
config: {} # Type-specific — see individual references
dashboardSlug: my-dashboard # Optional: scopes chart to dashboard (won't appear in space)
metricQuery:
exploreName: my_explore # Required: which explore to query
dimensions:
- my_explore_category
filters: {}
limit: 500
metrics:
- my_explore_total_sales
sorts: []
name: "Chart Name"
slug: unique-chart-slug
spaceSlug: target-space
tableConfig:
columnOrder: []
tableName: my_explore # Required: top-level explore/table name
version: 1
```
**Chart scoping:** Use `spaceSlug` only for shared charts. Add `dashboardSlug` to scope a chart to a specific dashboard (it won't appear in the space).
### Choosing the Right Chart Type
| Data Pattern | Recommended Chart | Why |
|--------------|-------------------|-----|
| Trends over time | Line or area (`cartesian`) | Shows continuous change with time on X-axis |
| Category comparisons | Bar (`cartesian`) | Easy visual comparison between discrete categories |
| Part-of-whole relationships | `pie` or `treemap` | Shows proportions summing to 100% |
| Single KPI metric | `big_number` | Focuses attention on one important value |
| Conversion stages | `funnel` | Visualizes drop-off between sequential steps |
| Progress toward target | `gauge` | Shows current value relative to goal |
| Geographic data | `map` | Plots data points or regions on a map |
| Detailed records | `table` | Displays raw data with sorting and formatting |
| Advanced custom needs | `custom` | Full Vega-Lite spec for custom visualizations |
| Type | Use Case | Reference |
|------|----------|-----------|
| `cartesian` | Bar, line, area, scatter | [Cartesian](./resources/cartesian-chart-reference.md) |
| `pie` | Parts of whole | [Pie](./resources/pie-chart-reference.md) |
| `table` | Data tables | [Table](./resources/table-chart-reference.md) |
| `big_number` | KPIs | [Big Number](./resources/big-number-chart-reference.md) |
| `funnel` | Conversion funnels | [Funnel](./resources/funnel-chart-reference.md) |
| `gauge` | Progress indicators | [Gauge](./resources/gauge-chart-reference.md) |
| `treemap` | Hierarchical data | [Treemap](./resources/treemap-chart-reference.md) |
| `map` | Geographic data | [Map](./resources/map-chart-reference.md) |
| `custom` | Vega-Lite | [Custom Viz](./resources/custom-viz-reference.md) |
## Dashboards
Dashboards arrange charts and content in a grid layout. See [Dashboard Reference](./resources/dashboard-reference.md) for YAML structure, tile types, tabs, and filters.
## Exploring the Warehouse
Use `lightdash sql` to explore data when building models:
```bash
# Preview table structure
lightdash sql "SELECT * FROM orders LIMIT 5" -o preview.csv
# Check distinct values for a dimension
lightdash sql "SELECT DISTINCT status FROM orders" -o statuses.csv
# Test metric calculations
lightdash sql "SELECT SUM(amount) FROM orders" -o test.csv
```
## Workflow Patterns
| Pattern | When to Use |
|---------|-------------|
| **Direct** (`deploy` + `upload`) | Solo dev, rapid iteration |
| **Preview-First** | Team, complex changes |
| **CI/CD** | Automated on merge |
See [Workflows Reference](./resources/workflows-reference.md) for detailed examples and CI/CD configurations.
## Resources
### Semantic Layer
- [Dimensions Reference](./resources/dimensions-reference.md)
- [Metrics Reference](./resources/metrics-reference.md)
- [Tables Reference](./resources/tables-reference.md)
- [Joins Reference](./resources/joins-reference.md)
### Charts
- [Cartesian Chart Reference](./resources/cartesian-chart-reference.md) - Bar, line, area, scatter
- [Pie Chart Reference](./resources/pie-chart-reference.md)
- [Table Chart Reference](./resources/table-chart-reference.md)
- [Big Number Reference](./resources/big-number-chart-reference.md)
- [Funnel Chart Reference](./resources/funnel-chart-reference.md)
- [Gauge Chart Reference](./resources/gauge-chart-reference.md)
- [Treemap Chart Reference](./resources/treemap-chart-reference.md)
- [Map Chart Reference](./resources/map-chart-reference.md)
- [Custom Viz Reference](./resources/custom-viz-reference.md)
### Dashboards & Workflows
- [Dashboard Reference](./resources/dashboard-reference.md)
- [Dashboard Best Practices](./resources/dashboard-best-practices.md)
- [CLI Reference](./resources/cli-reference.md)
- [Workflows Reference](./resources/workflows-reference.md)
### External
- [Lightdash Docs](https://docs.lightdash.com)