I need to know if I can expand the limit of export rows from 50000 t0 200,000 in Mixpanel Also If I want to see the most recent for each user when a specific event is triggered how do I go about this?
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On the first question: based on the docs, the CSV export row limits from the UI are fixed and cannot be increased to 200,000 rows: - For Insights in Bar/Stacked Bar/Pie/Table/Metric view: up to 50,000 rows.
- For all other views and reports: 10,000 rows. If a report exceeds these limits, only rows up to the limit are returned. [Exporting reports]To work around this for larger volumes, the documented options are: - Use the Raw Event Export API to pull raw events (JSONL) without the 50k row UI limit. [Export methods; Raw export API]
- Or use the Query API (Growth/Enterprise) to export formatted report data programmatically, then handle pagination/aggregation on your side. [Exporting reports]There is no documentation indicating that the 50,000-row CSV limit itself can be raised.---For “most recent time a specific event was triggered per user”: The docs don’t show a single-click UI recipe for this, but they do describe tools that can achieve it: 1. Using JQL (custom query)
You can use groupByUser() to aggregate events per user and compute the latest timestamp for a given event. For example, the pattern is:
js
function main() {
return Events({
from_date: "YYYY-MM-DD",
to_date: "YYYY-MM-DD",
event_selectors: [{ event: "Your Event Name" }]
})
.groupByUser(function(state, events) {
state = state || { last_time: null };
for (var i = 0; i < events.length; i++) {
var t = events[i].time;
if (state.last_time === null || t > state.last_time) {
state.last_time = t;
}
}
return state;
});
}
```LBKS
`groupByUser` guarantees events for each user are processed in temporal order, and you can compute per-user aggregates like “last event time.” [[groupByUser](https://docs.mixpanel.com/docs/reports/apps/jql#groupbyuseroptional-additional-keys-reducer-functions)]LBKS2. **Using the Raw Event Export API + your own processing**
- Export only that specific event over your desired date range using the `event` filter. [[Raw export API](https://github.com/mixpanel/docs/blob/main/openapi/src/export.openapi.yaml)]
- In your own environment, group by `distinct_id` and take the max of the `time` property per user.LBKSIf you share whether you prefer UI-only, JQL, or API + external processing, I can outline a more concrete step-by-step within that method.
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You run JQL via the JQL app in the Mixpanel UI or via the JQL HTTP API, not in a random report.From the docs: - JQL is a “Reports > Apps > JQL” tool where you write a script that defines a main() function and run it on your project data. [JQL overview]
- The same scripts can be run programmatically by POSTing to the Query API /jql endpoint with your script and optional params. [JQL API; Query JQL endpoint]So: 1. In the Mixpanel UI: open the JQL app (Reports → Apps → JQL), paste your script, and run it there.
2. Via API (optional): send a POST request to [https://mixpanel.com/api/query/jql](https://mixpanel.com/api/query/jql) with script= (and params= if needed) in the body. [JQL API]Note: JQL is in maintenance mode; Mixpanel recommends using Export API / Query API / Data Pipelines where possible. [JQL overview]
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I'm sorry, but there's no information about a way to natively increase the hard limit of the UI-based CSV export. Based on the documentation, here is a summary you can provide to your stakeholder: Subject: Limitations regarding the 200,000-row export requestWe have evaluated the request to export 200,000 rows directly from the Mixpanel interface and identified the following constraints and alternative solutions: UI Export Limits: Mixpanel enforces a fixed limit on CSV exports performed via the web application. For Insights reports in Table or Bar views, the maximum limit is 50,000 rows. For all other report types (Funnels, Retention, etc.), the limit is 10,000 rows. [Exporting Reports] ** Cardinality & Performance: These limits exist to ensure the interactive analysis experience remains performant. When a query exceeds these "cardinality limits," the UI truncates the data and only returns the top-performing segments. [Segment Limits] ** Recommended Solution: To obtain the full dataset of 200,000+ records, we must use Mixpanel’s Raw Event Export API. This API is designed for high-volume data retrieval and does not have the same row-count restrictions as the user interface. [Event Export via API] ** Alternative for Profiles: If the goal is to see the "most recent" activity per user for a specific event, we can utilize a custom script (JQL) or the Engage API to query user profile data directly, which bypasses standard report row limits. [JQL Overview; Query API Overview]Next Steps: Since this cannot be done via a simple "Export" button click, we will need to programmatically extract this data using the Export API.
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To refine your guidance for stakeholders, you can suggest a time-windowed export strategy. This is a standard way to stay within Mixpanel's UI limits while ensuring no data is lost.
Refined Guidance: Time-Windowed CSV Export
"Because Mixpanel limits CSV exports to 50,000 rows for Insights and 10,000 rows for other reports, we will use a 'Chunking Strategy' to capture the full 200,000+ dataset. By narrowing the date range for each export (e.g., exporting one week or one day at a time), we ensure that the results for each specific window fall below the truncation threshold." [Segment Limits; Exporting reports]
Proper Implementation Steps
1. Identify Volume: Check the total event count for your desired period. If it's ~200,000, you will likely need at least 4 to 5 separate exports (assuming 50,000 rows per export). 2. Adjust Date Range: Use the Date Range Selector in the report to select a smaller "Fixed" time range (e.g., Monday to Wednesday) rather than the "Last 30 Days." [Select a Date Range] 3. Monitor Truncation: Ensure the "truncated results" banner is not visible at the top of the report. If you see this banner, it means the current window still exceeds the limit and must be narrowed further. [How will I know if results are truncated?] 4. Consolidate: Download each CSV and merge them externally (e.g., in Excel or Python) to form the complete 200,000-row record. 5. Future-Proofing: For requests of this scale in the future, we recommend moving away from manual UI exports toward the Raw Event Export API, which can handle millions of rows in a single request without manual windowing. [Event Export via API]
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To get the data you need without overcomplicating it, use this simple approach: The Recommendation: "Chunk" your exports by date.How to do it: 1. Adjust the date picker to a shorter window (like 1 week). 2. Check that no "truncated results" warning appears in the UI [How will I know if results are truncated?]. 3. Click Export and repeat for the next date window.For long-term needs of 200,000+ rows, the Raw Event Export API is the standard way to get all data in one go without manual work [Event Export via API].
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