table_compression

Usage

view: my_view {
  derived_table: {
    table_compression: GZIP
    ...
  }
}
Hierarchy
table_compression
Default Value
GZIP

Accepts
GZIP or SNAPPY

Special Rules
table_compression is supported only on specific dialects

Definition

The table_compression parameter specifies the compression that a persistent derived table (PDT) will have in an Athena database, either GZIP or SNAPPY.

See the Amazon Athena documentation for details.

See the Dialect Support for table_compression section below for the list of dialects that support table_compression.

The table_compression parameter works only with tables that are persistent, such as PDTs and aggregate tables. table_compression is not supported for derived tables without a persistence strategy.

Examples

Create a customer_order_facts PDT on an Amazon Athena database with SNAPPY compression:

view: customer_order_facts {
  derived_table: {
    explore_source: order {
      column: customer_id { field: order.customer_id }
      column: date { field: order.order_time }
      column: city { field: users.city }
      column: age_tier { field: users.age_tier }
      derived_column: num_orders {
        sql: COUNT(order.customer_id) ;;
      }
    }
    table_format: ORC
    table_compression: SNAPPY
    datagroup_trigger: daily_datagroup
  }
}

Dialect support for table_compression

The ability to use table_compression depends on the database dialect your Looker connection is using. In the latest release of Looker, the following dialects support table_compression:

Dialect Supported?
Actian Avalanche
No
Amazon Athena
Yes
Amazon Aurora MySQL
No
Amazon Redshift
No
Apache Druid
No
Apache Druid 0.13+
No
Apache Druid 0.18+
No
Apache Hive 2.3+
No
Apache Hive 3.1.2+
No
Apache Spark 3+
No
ClickHouse
No
Cloudera Impala 3.1+
No
Cloudera Impala 3.1+ with Native Driver
No
Cloudera Impala with Native Driver
No
DataVirtuality
No
Databricks
No
Denodo 7
No
Denodo 8
No
Dremio
No
Dremio 11+
No
Exasol
No
Firebolt
No
Google BigQuery Legacy SQL
No
Google BigQuery Standard SQL
No
Google Cloud PostgreSQL
No
Google Cloud SQL
No
Google Spanner
No
Greenplum
No
HyperSQL
No
IBM Netezza
No
MariaDB
No
Microsoft Azure PostgreSQL
No
Microsoft Azure SQL Database
No
Microsoft Azure Synapse Analytics
No
Microsoft SQL Server 2008+
No
Microsoft SQL Server 2012+
No
Microsoft SQL Server 2016
No
Microsoft SQL Server 2017+
No
MongoBI
No
MySQL
No
MySQL 8.0.12+
No
Oracle
No
Oracle ADWC
No
PostgreSQL 9.5+
No
PostgreSQL pre-9.5
No
PrestoDB
No
PrestoSQL
No
SAP HANA 2+
No
SingleStore
No
SingleStore 7+
No
Snowflake
No
Teradata
No
Trino
No
Vector
No
Vertica
No