Collibra DQ User Guide
2022.10
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BI Integrations
We've moved! To improve customer experience, the Collibra Data Quality User Guide has moved to the Collibra Documentation Center as part of the Collibra Data Quality 2022.11 release. To ensure a seamless transition, dq-docs.collibra.com will remain accessible, but the DQ User Guide is now maintained exclusively in the Documentation Center.
Custom reports can be leveraged by connecting your favorite BI tool on the underlying reporting mart. Below are a few queries that can be used as inspiration for building your own reports. Please refer to the ERD diagram for a larger list of tables.
Long Running Jobs
select dataset,run_id,total_time from dataset_activity where total_time is not null order by total_time desc
Jobs Submitted
select * from owlcheck_q
Jobs by User
select count(*) as owlchecks, username from owlcheck_q where updt_ts < now() group by username order by owlchecks desc
Jobs by User, Dataset
select count(*), user_nm, dataset from dev.public.owl_check_history group by user_nm, dataset order by count desc
Largest by Row Count
select dataset,rc as row_count from dataset_scan order by rc desc
Jobs by Month
with grp as ( select date_trunc('MONTH', run_id) as by_month from dataset_scan where run_id < now() ) select count(*) as owlchecks, by_month from grp group by by_month order by by_month desc
Rules by User
select count(*) as rules, user_nm from owl_rule group by user_nm order by rules desc
By Spark(Cluster) Usage
select * from opt_spark order by num_executors desc
Jobs IDs from Agent
select remote_job_id from agent_q where remote_job_id is not null
Dataset Activity
select dataset,run_id,total_time from dataset_activity where total_time is not null order by total_time desc
Jobs with Enriched Metrics
with activity as ( select dataset,run_id,total_time from dataset_activity where total_time is not null order by total_time desc limit 100), scans as ( select * from dataset_scan where dataset in (select dataset from activity) ), configs as ( select * from opt_spark where dataset in (select dataset from activity)), schema as ( select count(*) as col_cnt, dataset from dataset_schema where dataset in (select dataset from activity) group by dataset ) SELECT A.dataset, A.run_id, C.total_time, A.rc, D.col_cnt, B.driver_memory, B.num_executors,B.executor_cores, B.executor_memory, B.master FROM scans A INNER JOIN configs B ON A.dataset = B.dataset INNER JOIN activity C ON A.dataset = C.dataset and A.run_id = C.run_id INNER JOIN schema D on A.dataset = D.dataset ORDER BY C.total_time desc
Jobs. Load Times and Resources
with activity as ( select dataset,run_id,total_time from public.dataset_activity where total_time is not null order by total_time), scans as ( select * from public.dataset_scan where dataset in (select dataset from activity) ), configs as ( select * from public.opt_spark where dataset in (select dataset from activity)), schema as ( select count(*) as col_cnt, dataset from public.dataset_schema where dataset in (select dataset from activity) group by dataset ) SELECT A.dataset, A.run_id, A.updt_ts, C.total_time, A.rc, D.col_cnt, B.driver_memory, B.num_executors,B.executor_cores, B.executor_memory, B.master FROM scans A INNER JOIN configs B ON A.dataset = B.dataset INNER JOIN activity C ON A.dataset = C.dataset and A.run_id = C.run_id INNER JOIN schema D on A.dataset = D.dataset ORDER BY A.updt_ts desc limit 10
Dataset Scans and Scores By Schema
select * from public.dataset_scan where dataset like 'public.%';
Dataset Scans and Scores By Name
select * from public.dataset_scan where dataset ='public.atm_customer';
Scans By Month By Schema - 'Public'
select dataset, DATE_TRUNC('MONTH', run_id) as run_id, count(*) as Total_Scans from dataset_scan where dataset like 'public%' group by dataset, run_id order by run_id asc
Rule Breaks Past 30 Days
select * from rule_output where run_id < NOW() - INTERVAL '30 DAY';
Scheduled Jobs Queue
select job_id,agent_id,dataset,run_id,status,activity,start_time from public.owlcheck_q;
Column Counts from Dataset Schema
select dataset, count(*) from dataset_schema group by dataset;
Profiling Stats
select dataset, run_id, field_nm, (null_ratio * 100) as null_percent, (empty_ratio * 100) as empty_percent, ROUND( CAST( ( 100 - ((null_ratio * 100) + (empty_ratio * 100)) ) as numeric), 3) as completeness from public.dataset_field where updt_ts > '2020-06-01' and dataset = 'ProcessOrder' and run_id > '2021-03-17 00:00:00+00' order by completeness desc
Metadata / Schema / Datatypes
select * from public.dataset_schema;
Profile Stats
select * from public.dataset_field;
Locate Similar Columns
select distinct dataset, field_nm, max_abs from dataset_field where max_abs = 'Wireless Telecommunications'
Same Column Names
select distinct dataset, field_nm from dataset_field where field_nm = 'authenticated_user'
Similar Column Names
select distinct dataset,field_nm from dataset_field where field_nm like '%id%'
Behavior Findings
select * from behavior where dataset='esg_data'
All Columns for Schema from Postgres Stats
SELECT table_name FROM information_schema.tables WHERE table_schema = 'public' ORDER BY table_name