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_compressionsection for the list of dialects that supporttable_compression.
The
table_compressionparameter works only with tables that are persistent, such as PDTs and aggregate tables.table_compressionis 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 |
| Amazon Redshift 2.1+ | No |
| Amazon Redshift Serverless 2.1+ | 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 & 9 | 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 | No |
| SAP HANA 2+ | No |
| SingleStore | No |
| SingleStore 7+ | No |
| Snowflake | No |
| Teradata | No |
| Trino | No |
| Vector | No |
| Vertica | No |