This paper discusses two lesser-known options of SAS Proc SQL: _method and _tree.

This presentation discusses topics that help SAS users unlock the many powerful features, options, and other gems found in the SQL universe. Magic options are also presented to alter the way Proc SQL make the joins.

Never use WHERE clause in PROC SQL when joining different tables, use the FROM. This article explains why it's so important from a performance point of view

Comparison between Proc SQL and Data Step

Another comparison between Proc SQL and Data Step

Hints and Tips for Using SQL

In this paper, you will learn how to use PROC SQL statements, options, and clauses to conserve CPU, I/O, and memory resources while accomplishing tasks involving rocessing, ordering, grouping, and summarizing data

This paper is a cheat sheet showing you, using Ven diagrams different types of SQL joins. They all works in Proc SQL except the Cross apply and Outer apply (not tested via Passthrough) . Sometimes the SAS text editor doesn't highlight the keywords. On top of that syntax Proc SQL has many other options.

Who neved had performance issues with queries implying SAS tables and DBMS tables? This paper explains in detail this problematic and shows you some tips to avoid them. SQL passtrhough is also mentionned with the macro %DBMSlist, %MakeList and %RunQuery allowing you to code it more easily

SQL Notes is a 221 p pdf talking about SQL clauses in a format like 'learn with examples' . This paper is not specific to SAS but more general reference.

This document is a SQL cheat sheet showing you in 3 pages major SQL queries

It's not common to have data stored in SAS Data Sets, most organizations are using databases. In proc SQL, SAS users can use explicit passthrough in order to query the data in the database language, this allows you for instance to improve the query speed. This cheat sheet discuss briefly SQL syntax of Oracle, SQL server, MySQL and PostgreSQL in one single PDF.