HogQL expressions

HogQL expressions enable you to directly access, modify, and aggregate data in many places in PostHog including:

• Filters
• Trends series
• Breakdowns
• Funnel aggregations
• User paths
• Session replays
• Dashboards
• The activity tab

Tip: If you're having trouble getting results from your expression, try debugging by using a different visualization (trends table often works best as it shows all values returned) or breaking down your expression into pieces and testing each one.

Accessible data

HogQL expressions can access data like:

• event properties (properties)
• person properties (person.properties)
• event
• elements_chain (from autocapture)
• timestamp
• distinct_id
• person_id
• When joined, data warehouse source properties

Properties can be accessed with dot notation like person.properties.$initial_browser which also works for nested or JSON properties. They can also be accessed with bracket notation like properties['$feature/cool-flag'].

Note: PostHog's properties always include $ as a prefix, while custom properties do not (unless you add it).

Property identifiers must be known at query time. For dynamic access, use the JSON manipulation functions from below on the properties field directly.

Types

Types (and names) for the accessible data can be found in the database and properties tabs in data management. They include:

• STRING (default)
• JSON (accessible with dot or bracket notation)
• DATETIME(in ISO 8601, read more in our data docs)
• INTEGER
• NUMERIC(AKA float)
• BOOLEAN

Types can be converted using functions like toString, toDate, toFloat, JSONExtractString, JSONExtractInt, and more.

Operators

Expressions can use operators to filter and combine data. These include:

• Comparison operators like =, !=, <, or >=
• Logical operators like AND, OR, IS or NOT
• Arithmetic operators like +, -, *, /

Functions and aggregations

You can filter, modify, or aggregate accessed data with supported ClickHouse functions like dateDiff() and concat() and aggregations like sumIf() and count().

Here are some of the most common and useful ones:

Comparisons

Aggregations

Strings

Dates

Use cases

• Checking if a property or autocapture element chain contains a specific value or any of an array of values using in or match.

• Modifying the display string in the visualization by extracting or concatenating properties using concat(), +, extract(), or replaceOne like concat('OS Version: ', properties.$os_version).

• Grouping or binning events based on properties using if(), multiIf() like multiIf(properties.$device_type == 'Desktop', 'Desktop', properties.$os == 'iOS', 'iOS', 'Non-iOS').

• Accessing nested properties such as properties.$set.$geoip_city_name.

• Filtering for events that happened in the last X minutes, hours, or days with dateDiff(), now(), and interval like dateDiff('minute', timestamp, now()) < 30.

• Creating percentages by calculating the sum of one property over the sum of all related properties inline with sum(), /, +, and * like sumIf(1, properties.$browser = 'Chrome') / sumIf(1, properties.$browser = 'Safari' or properties.$browser = 'Chrome')

• Binning events based on time of day, week, and month with toHour, toDayOfWeek, toStartOfWeek, toMonth like multiIf(5 >= toHour(timestamp) and toHour(timestamp) < 12, 'morning', 12 >= toHour(timestamp) and toHour(timestamp) < 17, 'afternoon', 'night')

• Breaking down by multiple properties using concat() like concat(properties.$os_name, ' - ', properties.$os_version).

• Matching URL patterns with like like (properties.$current_url LIKE '%/blog%')

• Filter null property values with IS NOT NULL like person.properties.$initial_utm_source IS NOT NULL.

• Breakdown by values in an array by using a combination of JSONExtractArrayRaw and arrayJoin like arrayJoin(JSONExtractArrayRaw(properties.$active_feature_flags ?? '[]'), ',').

• Extracting the ID from autocaptured elements like extract(elements_chain, '[:|"]attr__id="(.*?)"').