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Merge pull request #1165 from ashnwade/patch-to-main
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michael-wisely-gravwell authored Oct 10, 2024
2 parents 1dd96e7 + 05ebcb8 commit 371a3c7
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8 changes: 6 additions & 2 deletions _static/versions.json
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[
{
"name": "v5.5.6 (latest)",
"version": "v5.5.6",
"name": "v5.5.7 (latest)",
"version": "v5.5.7",
"url": "/",
"preferred": true
},
{
"version": "v5.5.6",
"url": "/v5.5.6/"
},
{
"version": "v5.5.5",
"url": "/v5.5.5/"
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13 changes: 13 additions & 0 deletions changelog/5.5.7.md
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# Changelog for version 5.5.7

## Released 10 October 2024

## Gravwell

```{note}
This release contains high priority bug fixes for stats in a cluster environment. Gravwell highly recommends that all cluster users upgrade to 5.5.7 or above.
```

### Bug Fixes

* Fixed an issue that caused the stats module to incorrectly report data in certain use cases when using a cluster.
3 changes: 2 additions & 1 deletion changelog/list.md
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maxdepth: 1
caption: Current Release
---
5.5.6 <5.5.6>
5.5.7 <5.5.7>
```

## Previous Versions
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caption: Previous Releases
---
5.5.6 <5.5.6>
5.5.5 <5.5.5>
5.5.4 <5.5.4>
5.5.3 <5.5.3>
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2 changes: 1 addition & 1 deletion conf.py
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project = "Gravwell"
copyright = f"Gravwell, Inc. {date.today().year}"
author = "Gravwell, Inc."
release = "v5.5.6"
release = "v5.5.7"

# Default to localhost:8080, so the version switcher looks OK on livehtml
version_list_url = os.environ.get("VERSION_LIST_URL", "http://localhost:8000/_static/versions.json")
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5 changes: 3 additions & 2 deletions flows/nodes/ingest.md
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Expand Up @@ -7,6 +7,7 @@ This node ingests data into Gravwell under a specified tag. Note that the user m
* `Tag`, required: the Gravwell tag into which the data should be ingested.
* `Input`, required: the data to ingest.
* `Split Lines`: if set to true, the node will split the input data into separate entries at newline boundaries.
* `Extract Timestamp`: if set to true, Gravwell will attempt to extract timestamps from the input data. If false, the entries will be ingested with the current timestamp.

## Output

Expand All @@ -18,8 +19,8 @@ This example fetches JSON weather information from `api.weather.gov` and ingests

![](ingest-example.png)

The HTTP node is configured to perform a GET request on `https://api.weather.gov/gridpoints/MTR/82,105/forecast` to fetch a weather report from the San Francisco peninsula. The ingest node then takes the `response` value (generated by the HTTP node) and ingests it into the web_weather` tag. Because we wish to ingest the entire HTTP response in a single entry, we leave the Split Lines config option set to "No".
The HTTP node is configured to perform a GET request on `https://api.weather.gov/gridpoints/MTR/82,105/forecast` to fetch a weather report from the San Francisco peninsula. The ingest node then takes the `response` value (generated by the HTTP node) and ingests it into the web_weather` tag. Because we wish to ingest the entire HTTP response in a single entry, we leave the Split Lines config option set to "No". Because we're fetching the current weather, the timestamp at execution is acceptable, so we leave Extract Timestamp set to "No".

A query run on the `web_weather` tag shows the results:

![](ingest-weather.png)
![](ingest-weather.png)
2 changes: 1 addition & 1 deletion quickstart/quickstart.md
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Expand Up @@ -19,7 +19,7 @@ This guide is suitable for Community Edition users as well as users with a paid

You may find the [installation checklist](checklist) and the [glossary](/glossary/glossary) useful companions to this document.

If you are interested in a complete training package, please see the [complete training PDF](https://github.com/gravwell/training/releases/download/v5.5.6/gravwell_training_v5.5.6.pdf). The Gravwell training PDF is the complete training manual which is paired with labs and exercises. The exercises are built from the open source [Gravwell Training](https://github.com/gravwell/training) repository.
If you are interested in a complete training package, please see the [complete training PDF](https://github.com/gravwell/training/releases/download/v5.5.7/gravwell_training_v5.5.7.pdf). The Gravwell training PDF is the complete training manual which is paired with labs and exercises. The exercises are built from the open source [Gravwell Training](https://github.com/gravwell/training) repository.

```{note}
Community Edition users will need to obtain their own license from [https://www.gravwell.io/download](https://www.gravwell.io/download) before beginning installation. Paid users should already have received a license file via email.
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