approximate

Usage

view: view_name {  measure: field_name {    approximate:yes  }}
Hierarchy
approximate
Possible Field Types
Measure

Accepts
A Boolean (yes or no)

Definition

See theDialect support forapproximate section on this page for the list of dialects that supportindexes.

Theapproximate parameter lets you use approximate counting with measures oftype: count andtype: count_distinct. With large datasets, approximate counts can bemuch faster than exact counts and are typically within a few percent of the actual value. Please check your SQL dialect's documentation to understand the speed and accuracy tradeoffs of this method.

measure: apx_unique_count {  type: count_distinct  approximate: yes   # default value is no  sql: ${id} ;;}

-

Turning onapproximate with a measure oftype: count might seem unnecessary, because the approximate counting feature applies only to distinct counts. However, there are some situations when Looker automatically turns measures oftype: count into a distinct count of a primary key to provide accurate results for joined views. In those situations, approximate counting may be useful.

Dialect support forapproximate

The ability to useapproximate depends on the database dialect your Looker connection is using. In the latest version of Looker, the following dialects supportapproximate:

DialectSupported?
Actian Avalanche
Amazon Athena
Amazon Aurora MySQL
Amazon Redshift
Amazon Redshift 2.1+
Amazon Redshift Serverless 2.1+
Apache Druid
Apache Druid 0.13+
Apache Druid 0.18+
Apache Hive 2.3+
Apache Hive 3.1.2+
Apache Spark 3+
ClickHouse
Cloudera Impala 3.1+
Cloudera Impala 3.1+ with Native Driver
Cloudera Impala with Native Driver
DataVirtuality
Databricks
Denodo 7
Denodo 8 & 9
Dremio
Dremio 11+
Exasol
Google BigQuery Legacy SQL
Google BigQuery Standard SQL
Google Cloud AlloyDB for PostgreSQL
Google Cloud PostgreSQL
Google Cloud SQL
Google Spanner
Greenplum
HyperSQL
IBM Netezza
MariaDB
Microsoft Azure PostgreSQL
Microsoft Azure SQL Database
Microsoft Azure Synapse Analytics
Microsoft SQL Server 2008+
Microsoft SQL Server 2012+
Microsoft SQL Server 2016
Microsoft SQL Server 2017+
MongoBI
MySQL
MySQL 8.0.12+
Oracle
Oracle ADWC
PostgreSQL 9.5+
PostgreSQL pre-9.5
PrestoDB
PrestoSQL
SAP HANA
SAP HANA 2+
SingleStore
SingleStore 7+
Snowflake
Teradata
Trino
Vector
Vertica

Except as otherwise noted, the content of this page is licensed under theCreative Commons Attribution 4.0 License, and code samples are licensed under theApache 2.0 License. For details, see theGoogle Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2026-02-05 UTC.