dates_to_export = [ {"start": "2024-01-01","end": "2024-03-31", "increment": 30}, {"start": "2024-04-01","end": "2024-04-30", "increment": 1} # ] how to use in Mixpanel Endpoint API to extract events in chunks rather than all in a single query. I do not want to use the where filter because event for custom timestamp property it does not allow us break the events sent into chunks but does the increment allows this? kapa.ai
The approach you referenced—using a list like dates_to_export with start, end, and increment—is not a built-in feature of the Mixpanel Export API itself. Instead, it is a scripting pattern used to automate multiple API calls, each covering a smaller date range (a "chunk"), rather than querying a large date range in a single request.How it works:
- You write a script that loops through your dates_to_export list.
- For each object, the script makes repeated API calls to the Raw Event Export API, each with a from_date and to_date covering a chunk of the range (e.g., 30 days or 1 day at a time).
- The increment value in your list tells the script how many days each chunk should cover.
- This method helps you manage API rate limits and file sizes, and is especially useful when exporting large volumes of data.The Mixpanel Export API itself does not have an increment parameter—this is purely a scripting convenience. The API only accepts from_date and to_date parameters for each request. You must handle the chunking logic in your own code, not via the API.Why not use where for chunking?
- The where filter is for filtering events by property values, not for chunking by ingestion time or custom timestamp properties.
- The API does not support chunking based on a custom timestamp property; it only chunks based on the event ingestion time (the time the event was received by Mixpanel), as determined by from_date and to_date.Example usage in a script:Summary:
- The increment is not an API parameter; it is used in your script to break up the export into manageable chunks.
- The API only supports chunking by event ingestion time, not by a custom timestamp property.
- You must implement the chunking logic in your own code, using multiple API calls with different from_date and to_date values.
For more details, see the Mixpanel-utils sample script documentation and the Export API reference.
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Yes, your understanding is correct: breaking your export into manageable chunks means making multiple API calls, each covering a smaller date range, instead of a single call that would exceed the API's row limit.According to the Mixpanel Raw Event Export API documentation, you can use the limit parameter to restrict the number of events returned in a single request, with a maximum value of 100,000 events per request. If you need to export more than 100,000 events (e.g., 200,000 rows), you must split your export into multiple API calls, each covering a different date range or chunk, so that no single request exceeds the 100,000 event limit. This is typically done by adjusting the from_date and to_date parameters in each request, as described in the scripting pattern using dates_to_export and increment in the sample scripts. The API itself does not support pagination or continuation tokens for exports, so chunking by date is the recommended approach Exporting varied length date ranges | Export Methods: Export raw data and reports from Mixpanel | Event Export API - Export.In summary:
- The 100,000 event limit per request means you must use multiple API calls for larger exports.
- Each call should cover a date range that returns fewer than 100,000 events.
- This chunking is managed in your script, not by the API itself.
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Certainly! Below is a Python script template that uses the Mixpanel-utils library to export 200,000 events from the Raw Event Export API in manageable chunks (each chunk ≤100,000 events, as per the API limit). This script is adapted from the sample script for exporting varied length date ranges.You must install the mixpanel-utils package and set your credentials and date ranges appropriately.Instructions:
- Replace the placeholders in SETTINGS with your actual Mixpanel credentials and desired date ranges.
- Adjust DATES_TO_EXPORT to cover the full period for your 200k events, ensuring each chunk (date) does not exceed 100k events.
- The script will create one file per day (or per chunk) in the specified folder.Note:
- If a single day contains more than 100k events, you will need to further split the day (e.g., by hour) or adjust your date ranges accordingly.
- This script is based on the official Mixpanel-utils documentation and sample scripts.If you need to export a continuous range (e.g., two days, each with 100k events), set DATES_TO_EXPORT accordingly. The script does not use the where filter, as this is not suitable for chunking by ingestion time or custom timestamp properties.Let me know if you need a version that automatically calculates the date ranges based on event volume—this would require additional logic and is not provided in the official sample scripts.
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To replicate Mixpanel’s deduplication logic outside of Mixpanel, you need to follow these steps: 1. Identify the Deduplication Keys:
Mixpanel deduplicates events using four key properties:
- event (event name)
- distinct_id (user identifier)
- time (event timestamp)
- $insert_id (unique event identifier) If all four properties are identical across two or more events, they are considered duplicates, and only the most recent event should be kept (How Deduplication Works).2. Prepare Your Data:
Ensure your exported data contains these four properties for each event. If you are exporting raw data from Mixpanel, note that deduplication is not applied to raw exports, so duplicates may be present (Important Notes).3. Deduplicate the Data:
- For each event, create a composite key using the four properties: (event, distinct_id, time, $insert_id).
- If multiple events share the same composite key, keep only the most recent one (based on ingestion time or file order, as Mixpanel does at query time).
- Discard the others. Example in pseudocode:
for event in events:
key = (event['event'], event['properties']['distinct_id'], event['properties']['time'], event['properties']['$insert_id'])
deduped[key] = event # This will keep the last occurrence
result = list(deduped.values())
```LBKSLBKS4. **Caveats:**
- Only these four properties are used for deduplication; other properties are ignored.
- If `$insert_id` is missing, the event will not be deduplicated by Mixpanel, and you may want to decide how to handle such cases in your own logic.
- Mixpanel applies deduplication at query time and during periodic compaction, but **raw exports will always include all events, including duplicates** ([Important Notes](https://github.com/mixpanel/docs/blob/main/openapi/src/docs/ingestion/track-event-deduplication.md)).LBKS**Summary:**
To replicate Mixpanel deduplication outside of Mixpanel, group events by `(event, distinct_id, time, $insert_id)` and keep only the most recent event for each group. This matches Mixpanel’s deduplication logic as described in the official documentation ([How Deduplication Works](https://github.com/mixpanel/docs/blob/main/openapi/src/docs/ingestion/track-event-deduplication.md)).
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To remove duplicates from your exported Mixpanel events using Mixpanel's deduplication logic, you need to keep only the most recent event for each unique combination of these four properties: event, distinct_id, time, and $insert_id. Only these four properties are used for deduplication—other properties are ignored. This matches Mixpanel's own deduplication mechanism, which is not applied to raw exports, so you must do it yourself after export (How Deduplication Works).Here’s how you can add deduplication to your export script: LBKSimport json import glob import gzipLBKSdeduped = {}LBKS# Loop through all exported files (adjust the path as needed) for file_name in glob.glob('exported_files/**.json**'): with gzip.open(file_name, 'rt') as file: for line in file: try: event = json.loads(line) key = ( event['event'], event['properties']['distinct_id'], event['properties']['time'], event['properties']['$insert_id'] ) deduped[key] = event # Keeps the last occurrence except Exception: continueLBKS# Write deduplicated events to a new file with open('deduped_events.json', 'w') as out_file: for event in deduped.values(): out_file.write(json.dumps(event) + '\n')LBKSKey points:
- This script reads all exported event files, creates a composite key from the four deduplication properties, and stores only the last event for each key.
- The result is a file (deduped_events.json) containing only unique events according to Mixpanel's deduplication logic.
- This approach directly matches Mixpanel’s documented deduplication process (How Deduplication Works).If you need to process very large files, consider using a streaming or chunked approach to avoid memory issues.
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