Max(starttime)::date as last_run, aborted, Select trim( database) as DB, count(query) as n_qry, max( substring (qrytext, 1, 80)) as qrytext, min(run_seconds) as "min", max(run_seconds) as "max", avg(run_seconds) as "avg", sum(run_seconds) as total, max(query) as max_query_id, Let’s start with running a system query to analyze suboptimal queries: One place to find an up to date repository of useful system table queries is the Redshift Utils GitHub repo, found here:ģ.1 Example System Table Query – Query Performance When looking to get specific insights into cluster performance, System tables are a great way to get started. Tables and views exist for spectrum queries, WLM Queues, or just general queries. Redshift contains a slew of system tables and view which are quite helpful in getting into the finer details of how your cluster is performing. Redshift Column level security is straight forward to set up for use cases where sensitive columns need to be restricted for a subset of users. You should see that the first returns 0 rows, however, the second query throws an error. We want to start set up a new database schema and table for data science: In this case, we will look at a specific Data Scientist use case, where we want to create a user with specific permissions restricting access to tables. In this section of the lab, we will dig in to the security model of Redshift, and how you can configure permissioning from within the cluster and the console. We will then create utility stored procedures using security definer to drop unnused tables.ĭatabase and Table Security 1. We will run a few example utility system table queries to understand a small fraction of the insights that can be gained from the cluster system tables. We will start out by going into configuring Users and Groups for the database, as well as implementing column level security to restrict access to a hypothetically sensitive column.įrom there we will go into System Tables and Monitoring a Redshift Cluster. In this lab, you will be getting familiar with Redshift cluster administration and monitoring. Lab 3: Cluster Administration, Monitoring and System Tables
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