Great Lakes connectivity #

Great Lakes connectivity abstracts the details of using different table formats and file types when using certain write access statements for object storage systems. This connectivity is built into Starburst Galaxy, and is available to all users.

The following object storage catalogs support Great Lakes connectivity:

• Amazon S3 catalogs
• Azure Data Lake Storage catalogs
• Google Cloud Storage catalogs

This feature supports the following table formats:

• Iceberg table format
• Delta Lake table format
• Hive table format
• Hudi table format

Any access to existing tables works transparently for all table formats. Starburst Galaxy recognizes the format of your tables by reading the metastore associated with your object storage.

Specify default table format #

For data consumers who want to read from any object storage file in any supported table format, there are no configuration steps or commands. Starburst Galaxy reads each file’s type and format from the object store’s associated metadata file.

For data engineers who want to create new tables in an object storage catalog, Starburst Galaxy provides a simple way to specify the default format for all newly created tables. When creating a new catalog, select from one of the options in the Default table format dialog. Your selection applies only to newly created tables, and does not convert any existing tables.

You can also use a SQL statement to specify an individual table’s default format when creating that table. With a statement such as CREATE TABLE or CREATE TABLE AS, specify the type parameter with iceberg, delta, hive, or hudi` as its argument. A table created this way can override the catalog’s overall default table format.

Iceberg table format #

Apache Iceberg is an open table format for huge analytic datasets. Starburst Galaxy allows querying data stored in files written in the Iceberg format, as defined in the Iceberg Table Spec.

Iceberg tables are automatically detected and read based on information in the storage environment’s associated metadata.

To create an Iceberg table, add type='iceberg' as a table property in your CREATE statement. For example:

CREATE TABLE customer (
    name varchar,
    address varchar)
WITH (type='iceberg');

Specify the file format of table data files with an additional format property with value either parquet or orc, defaulting to orc:

...
WITH (type='iceberg',
      format='parquet');

Append further comma-separated table properties as required:

SQL support #

When using the Iceberg table format with the Great Lakes connectivity, the following SQL statements are supported:

• Globally available statements
• Read operations
• Write operations
  • Data management
  • Materialized view management
  • Schema and table management
  • View management

The following additional considerations apply:

• Only INSERT and DELETE by partition is supported.

Delta Lake table format #

Delta Lake connectivity allows querying data stored in Delta Lake tables, including Databricks Delta Lake.

Delta Lake tables are automatically detected and read based on information in the storage environment’s associated metadata.

To create a Delta Lake table, add type='delta' as a table property in your CREATE statement. There is no format parameter for Delta Lake, but you can append other table properties as required:

For example:

CREATE TABLE galaxy_delta.default.my_partitioned_table
WITH (
  type = 'delta',
  location = 's3://my-bucket/at/this/path',
  partitioned_by = ARRAY['regionkey'],
  checkpoint_interval = 5
)
AS
  SELECT name, comment, regionkey
  FROM tpch.tiny.nation;

SQL support #

When using the Delta Lake table format with the Great Lakes connectivity, the following SQL statements are supported:

• Globally available statements
• Read operations
• Write operations
  • Data management
  • Schema and table management
  • View management

Hive table format #

Hive connectivity allows querying data stored in an Apache Hive data warehouse.

Hive tables are automatically detected and read based on information in the storage environment’s associated metadata.

To create a Hive table, add type='hive' as a table property in your CREATE statement. For example:

CREATE TABLE customer (
  name varchar,
  address varchar)
WITH (type='hive');

Specify the format of table data files with an additional format property with one of the values shown in the following table:

Specify additional table properties as needed, consulting the list of table properties in the Trino Hive documentation. Notice that many of the available table properties must be used in conjunction with a particular Hive file format.

Some of the example SQL statements on the Hive documentation page must be supplemented with the type='hive' property for use in Starburst Galaxy. For example:

CREATE TABLE hive.web.page_views (
  view_time timestamp,
  user_id bigint,
  page_url varchar,
  ds date,
  country varchar
)
WITH (
  type = 'hive',
  format = 'ORC',
  partitioned_by = ARRAY['ds', 'country'],
  bucketed_by = ARRAY['user_id'],
  bucket_count = 50
)

SQL support #

When using the Hive table format with the Great Lakes connectivity, the following SQL statements are supported:

• Globally available statements
• Read operations
• Write operations
  • Data management
  • Schema and table management
  • View management

Hudi table format #

Hudi tables have read only support. Existing tables of the Hudi format that are detected in a Galaxy-connected object storage location are read automatically.

Galaxy cannot create new Hudi tables or write to them.

SQL support #

When using the Hudi table format with the Great Lakes connectivity, the following SQL statements are supported:

• Globally available statements
• Read operations