steampipe plugin install aws

Table: aws_glue_data_quality_ruleset - Query AWS Glue Data Quality Ruleset using SQL

The AWS Glue Data Quality Ruleset is a feature of AWS Glue that enables you to enforce quality rules on your data sources. It allows you to define, manage, and run data quality rules on your AWS Glue Data Catalog tables. This feature helps ensure that your data is accurate, consistent, and reliable, thereby improving the overall quality of your data.

Table Usage Guide

The aws_glue_data_quality_ruleset table in Steampipe provides you with information about the rulesets used for data quality checks in AWS Glue. This table allows you as a data engineer or developer to query ruleset-specific details, including the ruleset name, status, related applications, and associated metadata. You can utilize this table to gather insights on rulesets, such as ruleset usage, associated applications, status of rulesets, and more. The schema outlines the various attributes of the data quality ruleset for you, including the ruleset ARN, creation date, last modified date, and associated tags.

Examples

Basic info

Explore the creation dates and descriptions of various data quality rulesets in AWS Glue. This can help in understanding the evolution of data quality standards and guidelines over time in your AWS environment.

select
name,
database_name,
table_name,
created_on,
description,
rule_set,
recommendation_run_id
from
aws_glue_data_quality_ruleset;
select
name,
database_name,
table_name,
created_on,
description,
rule_set,
recommendation_run_id
from
aws_glue_data_quality_ruleset;

List rulesets created in the last 30 days

Determine the areas in which rulesets have been created in the past month, providing a recent history of data quality ruleset generation. This can be useful for monitoring the frequency and timing of new ruleset creation.

select
name,
database_name,
table_name,
created_on,
description,
rule_set,
recommendation_run_id
from
aws_glue_data_quality_ruleset
where
created_on >= now() - interval '30' day;
select
name,
database_name,
table_name,
created_on,
description,
rule_set,
recommendation_run_id
from
aws_glue_data_quality_ruleset
where
created_on >= datetime('now', '-30 day');

Count ruleset by database

Explore which databases have the most rulesets in order to optimize data quality checks. This insight can help prioritize which databases need more attention or resources for maintaining data quality.

select
database_name,
count("name") as rulset_count
from
aws_glue_data_quality_ruleset
group by
database_name;
select
database_name,
count("name") as rulset_count
from
aws_glue_data_quality_ruleset
group by
database_name;

Get Glue database details for a ruleset

Analyze the settings to understand the specific details of a Glue database associated with a certain data quality ruleset. This can be particularly useful for auditing or troubleshooting purposes, allowing you to pinpoint specific locations and creation times of the database.

select
r.name,
r.database_name,
d.catalog_id,
d.create_time as databse_create_time,
d.location_uri
from
aws_glue_data_quality_ruleset as r,
aws_glue_catalog_database as d
where
r.database_name = d.name
and r.name = 'ruleset1';
select
r.name,
r.database_name,
d.catalog_id,
d.create_time as databse_create_time,
d.location_uri
from
aws_glue_data_quality_ruleset as r,
aws_glue_catalog_database as d
where
r.database_name = d.name
and r.name = 'ruleset1';

Count rules per data quality ruleset

Determine the number of rules within each data quality ruleset to assess the complexity and thoroughness of your data validation process.

select
name,
rule_count
from
aws_glue_data_quality_ruleset;
select
name,
rule_count
from
aws_glue_data_quality_ruleset;

Schema for aws_glue_data_quality_ruleset

NameTypeOperatorsDescription
_ctxjsonbSteampipe context in JSON form.
account_idtext=, !=, ~~, ~~*, !~~, !~~*The AWS Account ID in which the resource is located.
created_ontimestamp with time zone<=, <, >=, >The date and time the data quality ruleset was created.
database_nametextThe name of the database where the glue table exists.
descriptiontextA description of the data quality ruleset.
last_modified_ontimestamp with time zone=The date and time the data quality ruleset was last modified.
nametext=The name of the data quality ruleset.
partitiontextThe AWS partition in which the resource is located (aws, aws-cn, or aws-us-gov).
recommendation_run_idtextWhen a ruleset was created from a recommendation run, this run ID is generated to link the two together.
regiontextThe AWS Region in which the resource is located.
rule_countbigintThe number of rules in the ruleset.
rule_settextA Data Quality Definition Language (DQDL) ruleset.
sp_connection_nametext=, !=, ~~, ~~*, !~~, !~~*Steampipe connection name.
sp_ctxjsonbSteampipe context in JSON form.
table_nametextThe name of the glue table.
target_tablejsonbAn object representing a glue table.
titletextTitle of the resource.

Export

This table is available as a standalone Exporter CLI. Steampipe exporters are stand-alone binaries that allow you to extract data using Steampipe plugins without a database.

You can download the tarball for your platform from the Releases page, but it is simplest to install them with the steampipe_export_installer.sh script:

/bin/sh -c "$(curl -fsSL https://steampipe.io/install/export.sh)" -- aws

You can pass the configuration to the command with the --config argument:

steampipe_export_aws --config '<your_config>' aws_glue_data_quality_ruleset