Querying AWS Glue Data Catalog

Because AWS Glue Data Catalog is used by many AWS services as their central metadata repository, you might want to query Data Catalog metadata. To do so, you can use SQL queries in Athena. You can use Athena to query AWS Glue catalog metadata like databases, tables, partitions, and columns.

Note

You can use individual hive DDL commands to extract metadata information for specific databases, tables, views, partitions, and columns from Athena, but the output is in a non-tabular format.

To obtain AWS Glue Catalog metadata, you query the information_schema database on the Athena backend. The example queries in this topic show how to use Athena to query AWS Glue Catalog metadata for common use cases.

Important

You cannot use CREATE VIEW to create a view on the information_schema database.

Listing Databases and Searching a Specified Database

The examples in this section show how to list the databases in metadata by schema name.

Example – Listing Databases

The following example query lists the databases from the information_schema.schemata table.

SELECT schema_name
FROM   information_schema.schemata
LIMIT  10;

The following table shows sample results.

6	alb-databas1
7	alb_original_cust
8	alblogsdatabase
9	athena_db_test
10	athena_ddl_db

Example – Searching a Specified Database

In the following example query, rdspostgresql is a sample database.

SELECT schema_name
FROM   information_schema.schemata
WHERE  schema_name = 'rdspostgresql'

The following table shows sample results.

	schema_name
1	rdspostgresql

Listing Tables in a Specified Database and Searching for a Table by Name

To list metadata for tables, you can query by table schema or by table name.

Example – Listing Tables by Schema

The following query lists tables that use the rdspostgresql table schema.

SELECT table_schema,
       table_name,
       table_type
FROM   information_schema.tables
WHERE  table_schema = 'rdspostgresql'

The following table shows a sample result.

	table_schema	table_name	table_type
1	rdspostgresql	rdspostgresqldb1_public_account	BASE TABLE

Example – Searching for a Table by Name

The following query obtains metadata information for the table athena1.

SELECT table_schema,
       table_name,
       table_type
FROM   information_schema.tables
WHERE  table_name = 'athena1'

The following table shows a sample result.

	table_schema	table_name	table_type
1	default	athena1	BASE TABLE

Listing Partitions for a Specific Table

You can use SHOW PARTITIONS table_name to list the partitions for a specified table, as in the following example.

SHOW PARTITIONS cloudtrail_logs_test2

You can also use a metadata query to list the partition numbers and partition values for a specific table. The syntax that you use depends on the Athena engine version.

Example – Querying the Partitions for a Table in Athena engine version 2

The following example query lists the partitions for the table cloudtrail_logs_test2 using Athena engine version 2.

SELECT * FROM default."cloudtrail_logs_test2$partitions" ORDER BY partition_number

The following table shows sample results.

	table_catalog	table_schema	table_name	year	month	day
1	awsdatacatalog	default	cloudtrail_logs_test2	2020	08	10
2	awsdatacatalog	default	cloudtrail_logs_test2	2020	08	11
3	awsdatacatalog	default	cloudtrail_logs_test2	2020	08	12

Example – Querying the Partitions for a Table in Athena engine version 1

The following example query lists the partitions for the table cloudtrail_logs_test2 using Athena engine version 1.

SELECT *
FROM   information_schema.__internal_partitions__
WHERE  table_schema = 'default'
       AND table_name = 'cloudtrail_logs_test2'
ORDER  BY partition_number

The following table shows sample results.

	table_catalog	table_schema	table_name	partition_number	partition_key	partition_value
1	awsdatacatalog	default	cloudtrail_logs_test2	1	year	2018
2	awsdatacatalog	default	cloudtrail_logs_test2	1	month	09
3	awsdatacatalog	default	cloudtrail_logs_test2	1	day	30

Listing or Searching Columns for a Specified Table or View

You can list all columns for a table, all columns for a view, or search for a column by name in a specified database and table.

To list the columns, use a SELECT * query. In the FROM clause, specify information_schema.columns. In the WHERE clause, use table_schema='database_name' to specify the database and table_name = 'table_name' to specify the table or view that has the columns that you want to list.

Example – Listing All Columns for a Specified Table

The following example query lists all columns for the table rdspostgresqldb1_public_account.

SELECT *
FROM   information_schema.columns
WHERE  table_schema = 'rdspostgresql'
       AND table_name = 'rdspostgresqldb1_public_account'

The following table shows sample results.

	table_catalog	table_schema	table_name	column_name	ordinal_position	column_default	is_nullable	data_type	comment	extra_info
1	awsdatacatalog	rdspostgresql	rdspostgresqldb1_public_account	password	1		YES	varchar
2	awsdatacatalog	rdspostgresql	rdspostgresqldb1_public_account	user_id	2		YES	integer
3	awsdatacatalog	rdspostgresql	rdspostgresqldb1_public_account	created_on	3		YES	timestamp
4	awsdatacatalog	rdspostgresql	rdspostgresqldb1_public_account	last_login	4		YES	timestamp
5	awsdatacatalog	rdspostgresql	rdspostgresqldb1_public_account	email	5		YES	varchar
6	awsdatacatalog	rdspostgresql	rdspostgresqldb1_public_account	username	6		YES	varchar

Example – Listing the Columns for a Specified View

The following example query lists all the columns in the default database for the view arrayview.

SELECT *
FROM   information_schema.columns
WHERE  table_schema = 'default'
       AND table_name = 'arrayview'

The following table shows sample results.

	table_catalog	table_schema	table_name	column_name	ordinal_position	column_default	is_nullable	data_type	comment	extra_info
1	awsdatacatalog	default	arrayview	searchdate	1		YES	varchar
2	awsdatacatalog	default	arrayview	sid	2		YES	varchar
3	awsdatacatalog	default	arrayview	btid	3		YES	varchar
4	awsdatacatalog	default	arrayview	p	4		YES	varchar
5	awsdatacatalog	default	arrayview	infantprice	5		YES	varchar
6	awsdatacatalog	default	arrayview	sump	6		YES	varchar
7	awsdatacatalog	default	arrayview	journeymaparray	7		YES	array(varchar)

Example – Searching for a Column by Name in a Specified Database and Table

The following example query searches for metadata for the sid column in the arrayview view of the default database.

SELECT *
FROM   information_schema.columns
WHERE  table_schema = 'default'
       AND table_name = 'arrayview' 
       AND column_name='sid'

The following table shows a sample result.

	table_catalog	table_schema	table_name	column_name	ordinal_position	column_default	is_nullable	data_type	comment	extra_info
1	awsdatacatalog	default	arrayview	sid	2		YES	varchar