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Document change in default percentiles agg compression to 200 #11344

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910694b
change default to 200
Oct 17, 2025
cec49e9
Apply suggestions from code review
kolchfa-aws Oct 17, 2025
dfcdb2e
Update _aggregations/metric/percentile.md
kolchfa-aws Oct 17, 2025
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8 changes: 4 additions & 4 deletions _aggregations/metric/percentile-ranks.md
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| `field` | String | Required | The numeric field used to compute percentile ranks. |
| `values` | Array of doubles | Required | The values used to calculate percentile ranks. |
| `keyed` | Boolean | Optional | If set to `false`, returns results as an array. Otherwise returns results as a JSON object. Default is `true`. |
| `tdigest.compression` | Double | Optional | Controls accuracy and memory usage of the `tdigest` algorithm. See [Precision tuning with tdigest](#precision-tuning-with-tdigest). |
| `tdigest.compression` | Double | Optional | Controls accuracy and memory usage of the `tdigest` algorithm. See [Precision tuning with tdigest](#precision-tuning-with-tdigest). Default is `200`. |

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[OpenSearch.Spelling] Error: tdigest. If you are referencing a setting, variable, format, function, or repository, surround it with tic marks.

Raw Output:
{"message": "[OpenSearch.Spelling] Error: tdigest. If you are referencing a setting, variable, format, function, or repository, surround it with tic marks.", "location": {"path": "_aggregations/metric/percentile-ranks.md", "range": {"start": {"line": 25, "column": 4}}}, "severity": "ERROR"}
| `hdr.number_of_significant_value_digits` | Integer | Optional | The precision setting for the HDR histogram. See [HDR histogram](#hdr-histogram). |
| `missing` | Number | Optional | The default value used when the target field is missing in a document. |
| `script` | Object | Optional | The script used to compute custom values instead of using a field. Supports inline and stored scripts. |
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## Precision tuning with tdigest

By default, percentile ranks are calculated using the `tdigest` algorithm. You can control the trade-off between accuracy and memory usage by specifying the `tdigest.compression` parameter. Higher values provide better accuracy but require more memory. For more information about how tdigest works, see [Precision tuning with tdigest]({{site.url}}{{site.baseurl}}/aggregations/metric/percentile/#precision-tuning-with-tdigest).
By default, percentile ranks are calculated using the `tdigest` algorithm. You can control the trade-off between accuracy and memory usage by specifying the `tdigest.compression` parameter. Higher values provide better accuracy but require more memory. Default is `200`. For more information about how tdigest works, see [Precision tuning with tdigest]({{site.url}}{{site.baseurl}}/aggregations/metric/percentile/#precision-tuning-with-tdigest).

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[OpenSearch.Spelling] Error: tdigest. If you are referencing a setting, variable, format, function, or repository, surround it with tic marks.

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{"message": "[OpenSearch.Spelling] Error: tdigest. If you are referencing a setting, variable, format, function, or repository, surround it with tic marks.", "location": {"path": "_aggregations/metric/percentile-ranks.md", "range": {"start": {"line": 168, "column": 56}}}, "severity": "ERROR"}

The following example is configured with `tdigest.compression` set to `200`:
The following example is configured with `tdigest.compression` set to `300`:

```json
GET /transaction_data/_search
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"field": "amount",
"values": [25, 55],
"tdigest": {
"compression": 200
"compression": 300
}
}
}
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8 changes: 4 additions & 4 deletions _aggregations/metric/percentile.md
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| `field` | String | Required | The numeric field used to compute percentiles. |
| `percents` | Array of doubles | Optional | The list of percentiles returned in the response. Default is `[1, 5, 25, 50, 75, 95, 99]`. |
| `keyed` | Boolean | Optional | If set to `false`, returns results as an array. Otherwise, returns results as a JSON object. Default is `true`. |
| `tdigest.compression` | Double | Optional | Controls accuracy and memory usage of the `tdigest` algorithm. See [Precision tuning with tdigest](#precision-tuning-with-tdigest). |
| `tdigest.compression` | Double | Optional | Controls accuracy and memory usage of the `tdigest` algorithm. See [Precision tuning with tdigest](#precision-tuning-with-tdigest). Default is `200`. |

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[OpenSearch.Spelling] Error: tdigest. If you are referencing a setting, variable, format, function, or repository, surround it with tic marks.

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{"message": "[OpenSearch.Spelling] Error: tdigest. If you are referencing a setting, variable, format, function, or repository, surround it with tic marks.", "location": {"path": "_aggregations/metric/percentile.md", "range": {"start": {"line": 27, "column": 4}}}, "severity": "ERROR"}
| `hdr.number_of_significant_value_digits` | Integer | Optional | The precision setting for the HDR histogram. See [HDR histogram](#hdr-histogram). |
| `missing` | Number | Optional | The default value used when the target field is missing in a document. |
| `script` | Object | Optional | The script used to compute custom values instead of using a field. Supports inline and stored scripts. |
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The algorithm is designed to be highly accurate near the tails of the distribution---the low percentiles (such as 1st) and high percentiles (such as 99th)---which are often the most important for performance analysis. You can control the precision of the results using the `compression` parameter.

A higher `compression` value means that more centroids are used, which increases accuracy (especially in the tails) but requires more memory and CPU. A lower `compression` value reduces memory usage and speeds up execution, but the results may be less accurate.
A higher `compression` value means that more centroids are used, which increases accuracy (especially in the tails) but requires more memory and CPU. A lower `compression` value reduces memory usage and speeds up execution, but the results may be less accurate. Default is `200`. Lower `compression` values such as `100` may perform especially poorly on low-cardinality data, such as HTTP status codes.


Use `tdigest` when:
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* You are working only with integer data and want maximum speed.
* You care less about accuracy in the distribution tails and prefer faster aggregation (consider using [`hdr`](#hdr-histogram) instead).

The following example sets `tdigest.compression` to `200`:
The following example sets `tdigest.compression` to `300`:

```json
GET /latency_data/_search
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"percentiles": {
"field": "load_time",
"tdigest": {
"compression": 200
"compression": 300
}
}
}
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