Allow keys - Chronosphere Documentation

This information is for Chronosphere Telemetry Pipeline, which is a standalone product separate from Chronosphere Observability Platform.

The allow keys processing rule preserves any keys that match a specified regular expression, and then removes all other keys in each record.

Configuration parameters

Use the parameters in this section to configure the . The Telemetry Pipeline web interface uses the items in the Name column to describe these parameters. Pipeline configuration files use the items in the Key column as YAML keys.

Name	Key	Description	Default
Regex	`regex`	Required. The regular expression that determines which keys to preserve.	none
Match case checkbox	`matchCase`	Indicates whether the regular expression is case-sensitive.	Not selected
Regex engine	`regexEngine`	Required. The engine to parse your regular expression. Accepted values: `GNU`, `Oniguruma`, `PCRE2`, `POSIX`, `TRE`.	`PCRE2`
Nested access pattern	`nestedPath`	The key of the highest object level to evaluate. If specified, the allow keys rule ignores any keys not contained within the specified object. If unspecified, this rule evaluates all top-level keys, but no keys nested within top-level keys. You can also use record accessor syntax to reference keys nested within another nested object.	none
Comment	`comment`	A custom note or description of the rule’s function. This text is displayed next to the rule’s name in the Actions list in the processing rules interface.	none

Examples

Using the allow keys rule lets you pare down telemetry data by retaining only the data you explicitly choose to keep.

Flat example

For example, given this sample log data:

{"timestamp":"2023-03-28T09:08:41.64283645Z","user_id":3,"page_id":30,"action":"purchase"}
{"timestamp":"2023-03-28T09:08:42.643343109Z","user_id":4,"page_id":10,"action":"purchase"}
{"timestamp":"2023-03-28T09:08:48.643600498Z","user_id":1,"page_id":50,"action":"click"}
{"timestamp":"2023-03-28T09:08:50.643773688Z","user_id":5,"page_id":40,"action":"purchase"}
{"timestamp":"2023-03-28T09:08:51.643932272Z","user_id":1,"page_id":30,"action":"purchase"}
{"timestamp":"2023-03-28T09:08:56.644080944Z","user_id":2,"page_id":40,"action":"click"}
{"timestamp":"2023-03-28T09:09:03.64425954Z","user_id":3,"page_id":30,"action":"click"}
{"timestamp":"2023-03-28T09:09:03.644317046Z","user_id":1,"page_id":20,"action":"view"}
{"timestamp":"2023-03-28T09:09:10.64447719Z","user_id":2,"page_id":50,"action":"purchase"}
{"timestamp":"2023-03-28T09:09:17.644810963Z","user_id":2,"page_id":10,"action":"view"}
{"timestamp":"2023-03-28T09:09:20.644994805Z","user_id":1,"page_id":50,"action":"view"}

A processing rule with the Regex value user returns the following result:

{"user_id":3}
{"user_id":4}
{"user_id":1}
{"user_id":5}
{"user_id":1}
{"user_id":2}
{"user_id":3}
{"user_id":1}
{"user_id":2}
{"user_id":2}
{"user_id":1}

Nested example

You can also use the allow keys rule to selectively retain information within a nested object. For example, given this sample log data:

{"timestamp":"2023-03-28T09:08:41.64283645Z","user":{"vip":"no","id":3},"page_id":30,"action":"purchase"}
{"timestamp":"2023-03-28T09:08:42.643343109Z","user":{"vip":"yes","id":4},"page_id":10,"action":"purchase"}
{"timestamp":"2023-03-28T09:08:48.643600498Z","user":{"vip":"no","id":1},"page_id":50,"action":"click"}
{"timestamp":"2023-03-28T09:08:50.643773688Z","user":{"vip":"yes","id":5},"page_id":40,"action":"purchase"}
{"timestamp":"2023-03-28T09:08:51.643932272Z","user":{"vip":"no","id":1},"page_id":30,"action":"purchase"}
{"timestamp":"2023-03-28T09:08:56.644080944Z","user":{"vip":"yes","id":2},"page_id":40,"action":"click"}
{"timestamp":"2023-03-28T09:09:03.64425954Z","user":{"vip":"no","id":3},"page_id":30,"action":"click"}
{"timestamp":"2023-03-28T09:09:03.644317046Z","user":{"vip":"no","id":1},"page_id":20,"action":"view"}
{"timestamp":"2023-03-28T09:09:10.64447719Z","user":{"vip":"yes","id":2},"page_id":50,"action":"purchase"}
{"timestamp":"2023-03-28T09:09:17.644810963Z","user":{"vip":"yes","id":2},"page_id":10,"action":"view"}
{"timestamp":"2023-03-28T09:09:20.644994805Z","user":{"vip":"no","id":1},"page_id":50,"action":"view"}

A processing rule with the Regex value vip and the Nested access pattern value user returns the following result:

{"page_id":30,"action":"purchase","timestamp":"2023-03-28T09:08:41.64283645Z","user":{"vip":"no"}}
{"page_id":10,"action":"purchase","timestamp":"2023-03-28T09:08:42.643343109Z","user":{"vip":"yes"}}
{"page_id":50,"action":"click","timestamp":"2023-03-28T09:08:48.643600498Z","user":{"vip":"no"}}
{"page_id":40,"action":"purchase","timestamp":"2023-03-28T09:08:50.643773688Z","user":{"vip":"yes"}}
{"page_id":30,"action":"purchase","timestamp":"2023-03-28T09:08:51.643932272Z","user":{"vip":"no"}}
{"page_id":40,"action":"click","timestamp":"2023-03-28T09:08:56.644080944Z","user":{"vip":"yes"}}
{"page_id":30,"action":"click","timestamp":"2023-03-28T09:09:03.64425954Z","user":{"vip":"no"}}
{"page_id":20,"action":"view","timestamp":"2023-03-28T09:09:03.644317046Z","user":{"vip":"no"}}
{"page_id":50,"action":"purchase","timestamp":"2023-03-28T09:09:10.64447719Z","user":{"vip":"yes"}}
{"page_id":10,"action":"view","timestamp":"2023-03-28T09:09:17.644810963Z","user":{"vip":"yes"}}
{"page_id":50,"action":"view","timestamp":"2023-03-28T09:09:20.644994805Z","user":{"vip":"no"}}

This rule retained the vip field within the user object and removed all other fields within user. However, because the processing rule’s scope was limited to user, the rule didn’t affect the timestamp, page_id, or action fields. For a processing rule with the opposite effect, see block keys.

​Configuration parameters

​Examples

​Flat example

​Nested example

​Related rules

Configuration parameters

Examples

Flat example

Nested example

Related rules