Session replays
Overview
This topic explains how to use LaunchDarkly’s observability features to perform session replays. The Sessions view displays a list of recorded sessions. Use this view to perform session replays, which are repeatable explorations of an end user’s session in your application.
View session replays
To view a session replay, click Sessions in the left navigation menu, and then select a session from the list. Press the Play button to start the replay. Hover over or click on the colorful columns at the bottom of the screen to see different events in the session.
Configure session views
You can configure session views to display different types of data. Use the date dropdown to select a time range, and the filter button to sort the sessions. Click the download button to export a CSV of sessions.
Search
Search is a powerful feature that allows you to filter sessions based on different properties.
Compose your search query with one or more expressions. Each expression can be a comparison between a key and a value, or a logical combination of other expressions.
Here are some examples of search queries:
Enter a search value without a key to search on a default key. For logs, the default key is the message, and for traces it is the span_name
.
You can also filter for custom attributes you send in sessions, logs, and traces.
Keys and values
Keys are identifiers, which can include any combination of alphanumeric characters, underscores (_
), periods (.
), dashes (-
), and wildcards, which are indicated by asterisks (*
).
Values are strings with any character. To use spaces or special characters, you must enclose the string in quotes ("
, '
).
You can use wildcards (*
) in values to match on part of a pattern. For example:
span_name=gorm.*
matches allspan_name
values that start withgorm
.span_name=*.Query
matches allspan_name
values that end with.Query
span_name=*orm*
matches all values that containorm
If you want to use a value with a space or special character, you must wrap the value in quotations.
Regex expressions
You can search with regex expressions by using the matches query operator: =\[your regex here]\
. For example:
clickTextContent=/\w.+\w/
matches allclickTextContent
that start and end with any wordbrowser_version=/\d\.\d\.\d/
matches allbrowser_versions
in the form [0-9].[0-9].[0-9]
If you want to use a regex expression with a space or special character, you must wrap the value in quotations. For example:
tag="/\w \w/"
visited-url="/https://app.launchdarkly.com/\d/.+/"
Comparisons
Use operators to compare two different elements in your search query. The following operators are supported:
=
: Equals!=
: Does not equal<
: Less than<=
: Less than or equal to>
: Greater than>=
: Greater than or equal to
Exist and does not exist
You can search if a key exists or does not exist with the exists
operator. For example, to return all the traces with a connected session, use the following query:
exists
also works with the not
keyword. For example, when you only want the root level spans when searching traces, use this query:
You can combine expressions with the logical operators AND
, OR
, and NOT
:
AND
: Both expressions must be trueOR
: At least one of the expressions must be trueNOT
: The following expression must be false
There is an implicit AND
between all filters unless you specify an OR
directly. For example:
This is equivalent to:
You can also use parentheses ( AND )
to group values in an expression. For example:
You can also use parentheses to group values in an expression:
Saved searches
Saved searches are a set of search filters that apply to sessions or errors. Saved searches are useful if you want to quickly view sessions or errors that relate to a certain population of your users.
To save a search, click the Save button below the search bar.