I'm completely new to lightdash and would like to try setting up a self-hosted version on an existing dbt project. Looking at the guides, I'm not sure if any of these are actually relevant to me? I'm thinking maybe they aren't, because I don't have a "lightdash project connected" yet? So maybe I have to start here?

My understanding from the documentation is that embeddable URLs is a feature only available on Lightdash Cloud. How do people self-hosting lightdash typically go about creating a similar experience - enabling people without a lightdash login to access the dashboards securely.

This message was deleted.

Hi All, Seems there is a bug in Saved Charts. While opening a particular saved chart going for infinite re-rendering.

Error ID: ceee435996c44633aa080adce5760ecb
Error: Maximum update depth exceeded. This can happen when a component repeatedly calls setState inside componentWillUpdate or componentDidUpdate. React limits the number of nested updates to prevent infinite loops.

Step to Reproduce. 1. Go to Home Page. 2. Go to Saved Charts. 3. Search below given chart. “How do payment methods vary across different amount ranges?” I have attached a screenshot of the console.

Do any Lightdash users here use Raycast?

Hi! I work for a consulting company and we create data projects for clients, and I was thinking if it makes sense to acquire one Lightdash Cloud plan for my company and then create separate workspaces for each client. Is this the best approach?

Hi there, I would like to report a bug in the Lightdash app. While going to the login page, the Continue button is disabled and in a loading state. This occurs in both the cloud and demo applications. I have attached a screenshot and steps to reproduce this bug below. Steps to Reproduce 1. Go to the Login page. 2. Observe the Continue button (it is disabled and in a loading state). Reason for the Issue The LoginLanding component contains a variable

disableControl

. This is set to

true

because the

loginOptionsLoading

variable is

true

. The

||

(OR) operator checks for any

true

value from left to right and returns

true

and

loginOptionsLoading

is returning it as

true

.

loginOptionsLoading

gets data from the

useFetchLoginOptions

hook.

useFetchLoginOptions

makes an API request to fetch

fetchLoginOptions

. Here

useFetchLoginOptions

parameter for email is

undefined

I added logs to check if an API request is made during the initial loading. However, I found that

fetchLoginOptions

does not make an API request when

email = undefined

is passed, but the

useQuery

hook still returns

isLoading = true

as a defult. To solve this issue, TanStack recommends using the enabled parameter and setting its value to false. So, I added enabled = !!email to set it to false if email is undefined, but it is still not working as expected. I also tried returning a default value when email is undefined, but it is still not working. Thank you

Hi Team, I need to setup keycloak with lightdash. Can someone share the environment variables required for configuring it?

Hello, I am a user of Looker. I am researching other similar products. I would like to ask whether Lightdash performs query caching and pre-aggregation operations when querying.

I have a question: Does the semantic layer distinguish between internal company analysis and external customer analysis? Is there any difference between the two for the semantic layer? Or does it depend on the modeling method?

Hello everyone, I'm Karthik. I'm new to this community. I want to contribute to lightdash. If someone could guide me where to start, I'd be really glad. Thanks for your time!

Hi, Does lightdash have plans to come up with its own MCP Server. Anyone in the community created/using an MCP Server? How does the setup look like?

Hi Team, Could someone look into the thread : https://lightdash-community.slack.com/archives/C03MG2VTR08/p1746690320072389

Hi Community, I'm Lakshya, a recent graduate from IIT Kharagpur in Mathematics & Computing. I submitted my first PR today and I'm eager to contribute more. I wanted to know about the contribution process - are contributors limited to issues with the "open-contribution" label? I notice there aren't many unassigned issues with this label.

Hi Lightdash Community 👋, After version

0.1623.0

we will fully enforce the use of S3 for all file storage. Please ensure your environment is correctly configured for S3. If your environment doesn't have S3 configured, the server will throw an error on start mentioning that this configuration is missing. You can find the required environment variables and setup guidance in the Lightdash S3 configuration docs. This change will improve the scalability, reliability, and consistency of file handling across all environments. If you have any questions or run into issues, don’t hesitate to reach out. Thanks!

Hey all! I've just started testing out the "charts as code" and I'm really excited this exists now. I was curious though- is there any way to change the file name of a chart, or the slug? I have a bunch of charts I made by "duplicating" a chart from a dashboard and they're all named like copy-of-original-chart-17472321654.yml and have similar slugs. I'd love to be able to somehow update them so their names and slugs actually reflect what they are rather than have to dig into the name within each yml.

Not sure what's the best channel for this but I think there's an issue with the job application form. Who should I speak to?

Hi Team, I tried the latest Version 0.1623.0 - Lightdash, Tested yesterday if the scheduled Deliveries were initiated correctly and Are we even able to view the data after downloading the ".csv" File and yes I was able to see the data as well. Today I was planning to test the "image and Attach a PDF" option But on logging in to the Dashboard I could see a new Error as mentioned below which is not allowing me to even view the Saved chart :

can someone help me enable embedding?

Hi, I need some volunteer from Lightdash team to talk about some Collobration . Please DM me if anyone there!

Is it possible to embed the lightdash portal using an iframe (with sso oidc)? i.e. site.com/projects/--*project-guid--*/home

HI, is there a lightdash for cloud run ?

Is there support for hosting lightdash on a virtual directory? e.g. site.com/custom/(lightdash root here) With a SITE_URL = https://site.com/custom

Hi Team, I have a quick question regarding external storage options in Lightdash — specifically S3, GCS, and MinIO. Based on the documentation, it seems these storage options are used to save results such as images or SQL query outputs. Are these results used for caching purposes? For example, when accessing the same dashboard or chart multiple times, does Lightdash retrieve the results from external storage, or does it regenerate them each time? Our team is planning to deploy Lightdash on a Google Compute Engine (GCE) instance. Since it's already a dedicated instance, we’re considering using MinIO instead of GCS, as it would avoid the need to configure S3 compatibility. However, I’m concerned about one thing: if the GCE instance is recreated, the MinIO deployment on it would also be lost. Would that cause any issues for Lightdash, or is that an acceptable setup? Thanks in advance for your help!

[ SQL Runner Not Returning Results (But Queries Run on BigQuery) – Lightdash on Cloud Run ] Hi team I’m running Lightdash on Cloud Run, connected to BigQuery using a service account with sufficient permissions. When I use the SQL Runner in Lightdash (e.g., running SELECT 1 AS mycol;), no results are returned in the UI. However, I can confirm that the queries are being executed in BigQuery (I see them in the job history, run by the Lightdash service account). The service account has bigquery.dataViewer and bigquery.jobUser roles. My Lightdash user has developer/admin access. The correct service account is attached to the Cloud Run service. I’ve checked connection settings and tried restarting the service. Is there anything else I should check, or is this a known issue? Any guidance would be appreciated! Thanks in advance.

We just released Dashboard Tabs 🗂️ For those of you with lots of content in your Dashboards: You can now create named tabs in your Dashboards for better organization. Group by audience, domain, or anything you like. Read the Dashboard Tabs docs for more info. We'd love your feedback! Let us know what feels smooth and what could use a polish.

Hi all - I recently attended the Snowflake Summit conference in SF, and met a few Lightdashers from the community while I was there! I wrote up a blog post that you can check out here: https://www.lightdash.com/blogpost/snowflake-summit-2025 Key takeaways include: • My feet hurt after standing all day 👣 • Semantic layers are key to enabling AI in BI ✨ • Our hot sauce swag is on another level 🌶️

⚡ Feature Friday: Tabs + exports Happy Friday 🥳 We're back with another roundup of what we've been building 💪 🗂️ Organize your data with dashboard tabs You might have seen our earlier announcement about dashboard tabs! You can now organize lengthy dashboards without endless scrolling. Add tabs, name them, and arrange them however works best. Learn how to set up dashboard tabs. 📄 Export your data in XLSX XLSX exports are now available across SQL Runner, Explore, Dashboards, and Scheduled Deliveries. Unlimited rows for non-pivoted CSV, and up to 1M for Excel! 🚢 Bug fixes + minor updates We’ve also shipped 11 new features, 10 enhancements, 13 bug fixes in the last two weeks. See all our releases here. Got any feedback? Drop us a message below. We'd love to hear from you 💜

Hi all! 👋 Recently wrapped up the Databricks Summit in SF and had to share some highlights with the community! I wrote up a full recap that you can check out here: https://www.lightdash.com/blogpost/databricks-2025-recap Key takeaways include: • Standing next to a flying VTOL taxi makes for great booth conversations 🚁 • AI-BI is everywhere, but semantic layers are what actually make it work • Our AI Analyst in Slack was the biggest crowd-pleaser at our booth • Nothing beats meeting actual Lightdash customers in person - shoutout to our Kraken and ClassDojo users who stopped by! Would love to hear from anyone else who was there - did we miss each other?

Hey everyone 👋 I’ve been exploring an idea for an AI-powered plugin for Lightdash — something like a smart assistant that can: • Generate SQL queries from natural language • Suggest chart types or dashboards based on your data • Summarize insights (e.g., “revenue dropped last week, mostly in EU”) • Maybe even schedule alerts or exports via simple prompts I’m still validating if this would be useful — would love to hear if this sounds interesting to anyone? If there’s real interest, I think I could build an early version in a week or so. Curious to hear thoughts!