ci360-engage-direct-sql-extraction-utility

SAS Customer Intelligence 360 SQL Extraction Utility

Table of Contents

Welcome to the SAS Customer Intelligence 360 SQL Extraction Utility. This utility is build for extracting all SQL statements specific to a task or segment map from huge log file of Direct agent.

• Overview
  • Prerequisites
• Configuration
  • Initialization
• Execution
• Example

Overview

This utility is a helper tool, if you want to review all the SQL statements that were generated/executed as part of a task or segment map execution.

There could be scenarios as mentioned below where this utility could be useful:

1. When one wants to reproduce a slow running query outside of 360 Engage:Direct.
2. When one wants to check the "join criteria" used for different tables and confirm that the Information Map was configured.

The stored process shows you a screen to enter the name of a task or segment map, as well as an approximate range of timestamps to search for a specific execution occurrence of the task or segment map. The extracted SQL is shown as a tabular report. You can easily copy/paste the SQL to a database client tool or SAS Studio for analysis.

Prerequisites

• Base SAS, SAS Management Console
• Access to a SAS Customer Intelligence 360 tenant.
• Awareness of 360 Engage Direct, 360 Direct Agent.
• Awareness of SAS Stored Process application.

Configuration

1. Download the repository on the machine. Copy the SAS package SASCI360_SQL_Extraction.spk for Linux and SASCI360_SQL_Extraction_Win.spk for Windows, to a folder/directory of your choice.
2. Start SAS Management Console and navigate to the folder where you wish to save the STP.
3. Right click the folder and choose Import SAS Package.
   • In the Import package wizard, browse to the SAS package SASCI360_SQL_Extraction.spk for Linux and SASCI360_SQL_Extraction_Win.spk for Windows, saved as part of step 1.
   • Choose 'All Objects' and click 'Next'.
   • Specify the SAS application server and click 'Next'
   • Specify the source code repository and click 'Next'
   • Verify the summary page and click 'Next'
   • The package will be imported with a message "The import process completed successfully".
   • Click 'Finish' to exit the wizard.

Initialization

1. Navigate to the source code repository specified and customize the source code SASCI360_SQL_Extraction.sas for Linux and SASCI360_SQL_Extraction_Win.sas for Windows.

   • Locate the begining %let p_infileDir= in the source code file. This variable must be customized to the directory containing the onprem_direct.log files. For Example:
     • For Linux: %let p_infileDir=/sas/ci360direct/logs;
     • For Windows:%let p_infileDir=D:\sas\ ci360direct\logs;

2. It is also assumed that the onprem_direct.log files are suffixed by a date: .yyyy-mm-dd. For Example: onprem_direct.log.2024-08-28

3. The following variables will be the parameters retrieved via the STP

   • p_objName (mandatory): This is task or segment name for whom the SQLs need to be retrieved.
   • p_startTS (mandatory): Start timestamp to be processed from log.
   • p_endTS (mandatory): Last timestamp to be processed from log.

4. It is assumed that Start Date and End date are same.

Execution

Here are the steps you can follow to execute the utility:

1. Access the SAS Stored Process Web Application from your browser and the url is (replace HOSTNAME with host where utility is running):

http://HOSTNAME/SASStoredProcess/do

2. Login to the SAS Stored Process Web application.
3. From the home page click Search for Stored Process and Reports and specify the name: SASCI360_SQL_Extraction.
4. The search results should show the folders where you had imported the package SASCI360_SQL_Extraction for Linux and SASCI360_SQL_Extraction_Win for Windows.
5. You can click on the name/link to start the stored process.
6. Bookmark the link to your favorites or copy it to your notepad. You can now use the link to access the stored process.

Example

Here is an example of extracting SQL queries used within a Task Test_Task3.

On click of Run below output was received. This gives you a detail like the log timestamp, Nodes name, Nodes Type and the SQLs text used for that task.

This way using this utility you can find out all the SQLs for a specific Task or a Segment Map, along with other details like nodes name and nodes type.