# ML Anomaly Detection count of Processed Records

**URL:** https://discuss.elastic.co/t/ml-anomaly-detection-count-of-processed-records/348234
**Category:** Elasticsearch
**Created:** [November 29, 2023, 1:27pm UTC](https://discuss.elastic.co/t/ml-anomaly-detection-count-of-processed-records/348234 "2023-11-29T13:27:31Z")
**Posts on this page:** 2
**Page:** 1

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### Author: ![marmai16](https://avatars.discourse-cdn.com/v4/letter/m/13edae/32.png) [@marmai16](https://discuss.elastic.co/u/marmai16)
#### Post date: [November 29, 2023, 1:27pm UTC](https://discuss.elastic.co/t/ml-anomaly-detection-count-of-processed-records/348234/1 "2023-11-29T13:27:31Z")

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Hello everyone,

i deployed several anomaly detection jobs with different `query_delay` parameters to evaluate which one fits best without losing documents or being to much behind real-time.

What's interesting here is that the number of `Processed Records` by the Anomaly Detection Job and the actual number of documents in the index differ such that `Processed Records` shows a higher number than documents present in the index (e.g. no. of docs in index equals 250 and `Processed Records` of the job is 265)

So my question is, what does `Processed Records` actually mean or imply ?  
I thought that an index in regard to a certain time period is just queried once for new docs by the datafeed, thus there is no situation where a doc would be counted multiple times ?

Thank you in advance!

Edit: Some additional information.  
The start time of the datafeed on each job is the same. The counts of `Processed Records` among the jobs with the different `query_delay` parameters begin to differ after some time being in real-time analysis.  
However they all exhibit the correct timestamp in `Latest timestamp` of the most recent document in the source index.

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### Author: ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)
#### Post date: [December 27, 2023, 1:28pm UTC](https://discuss.elastic.co/t/ml-anomaly-detection-count-of-processed-records/348234/2 "2023-12-27T13:28:29Z")

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