Skip to the content
LeaplogicLeaplogic
  • Home
  • About Us
  • Contact
SIGN IN
  • Home
  • About Us
  • Contact

  • Getting Started
    • Before You Begin
    • Creating an Account
    • Logging into LeapLogic
    • Reset Password
    • Quick Tour of the Web Interface
    • LeapLogic in 15 minutes
      • Prerequisites
      • Step 1. Log into LeapLogic
      • Step 2. Create Assessment and Get Insights
      • Step 3. Create Transformation Pipeline and See Results
      • Step 4. Edit or Optimize the Transformed Code
      • Step 5: Complete the Transformation Lifecycle
  • Introduction to LeapLogic
    • Overview
    • High Level Architecture
    • Supported Legacy and Cloud Platforms
    • Key Features
  • LeapLogic Deployment Architecture & Prerequisites
  • Workload Assessment
    • Overview
    • Value Proposition
    • Creating Assessment
      • Prerequisites
      • Step 1. Provide Primary Inputs
        • Automation Coverage
      • Step 2. Add the Additional Inputs
        • Table Stat Extraction Steps
          • Teradata
          • Oracle
          • Netezza
      • Step 3. Update the Source Configuration
      • Step 4. Configure the Recommendation Settings
    • Assessment Listing
    • Understanding Insights and Recommendations
      • Volumetric Info
      • EDW
        • Oracle
          • Highlights
          • Analysis
          • Optimization
          • Lineage
          • Recommendations
          • Downloadable Reports
        • Vertica
          • Highlights
          • Analysis
          • Optimization
          • Lineage
          • Recommendations
          • Downloadable Reports
        • Snowflake
          • Highlights
          • Analysis
          • Optimization
          • Lineage
          • Recommendations
          • Downloadable Reports
        • Azure Synapse
          • Highlights
          • Analysis
          • Optimization
          • Lineage
          • Recommendations
          • Downloadable Reports
        • SQL Server
          • Highlights
          • Analysis
          • Optimization
          • Lineage
          • Recommendations
          • Downloadable Reports
        • Teradata
          • Highlights
          • Analysis
          • Optimization
          • Lineage
          • Recommendations
          • Downloadable Reports
        • Netezza
          • Highlights
          • Analysis
          • Optimization
          • Lineage
          • Recommendations
          • Downloadable Reports
        • Google Big Query
          • Highlights
          • Analysis
          • Optimization
          • Lineage
          • Recommendations
          • Downloadable Reports
        • Redshift
          • Highlights
          • Analysis
          • Optimization
          • Lineage
          • Recommendations
          • Downloadable Reports
        • PostgreSQL
          • Highlights
          • Analysis
          • Optimization
          • Lineage
          • Recommendations
          • Downloadable Reports
        • Duck DB
          • Highlights
          • Analysis
          • Optimization
          • Lineage
          • Recommendations
          • Downloadable Reports
        • ClickHouse
          • Highlights
          • Analysis
          • Optimization
          • Lineage
          • Recommendations
          • Downloadable Reports
        • Exasol
          • Highlights
          • Analysis
          • Optimization
          • Lineage
          • Recommendations
          • Downloadable Reports
        • DB2
          • Highlights
          • Analysis
          • Optimization
          • Recommendations
          • Lineage
          • Downloadable Reports
      • ETL
        • Informatica
          • Highlights
          • Analysis
          • Lineage
          • Downloadable Reports
        • Ab Initio
          • Highlights
          • Analysis
          • Lineage
          • Downloadable Reports
        • DataStage
          • Highlights
          • Analysis
          • Lineage
          • Downloadable Reports
        • Talend
          • Highlights
          • Analysis
          • Lineage
          • Downloadable Reports
        • SSIS
          • Highlights
          • Analysis
          • Lineage
          • Downloadable Reports
        • Informatica BDM
          • Highlights
          • Analysis
          • Lineage
          • Downloadable Reports
        • Oracle Data Integrator
          • Highlights
          • Analysis
          • Downloadable Reports
        • Pentaho
          • Highlights
          • Analysis
          • Downloadable Reports
        • Azure Data Factory
          • ARM Template
          • Highlights
          • Analysis
          • Downloadable Reports
        • Matillion
          • Highlights
          • Analysis
          • Downloadable Reports
        • SnapLogic
          • Highlights
          • Analysis
          • Downloadable Reports
      • Orchestration
        • AutoSys
          • Highlights
          • Analysis
          • Downloadable Reports
        • Control-M
          • Highlights
          • Analysis
          • Lineage
          • Downloadable Reports
        • SQL Server
          • Highlights
          • Analysis
      • BI
        • OBIEE
          • Highlights
          • Analysis
          • Lineage
          • Downloadable Reports
        • Tableau
          • Highlights
          • Analysis
          • Lineage
          • Downloadable Reports
        • IBM Cognos
          • Highlights
          • Analysis
          • Downloadable Reports
        • MicroStrategy
          • Highlights
          • Analysis
          • Lineage
          • Downloadable Reports
        • Power BI
          • Highlights
          • Analysis
          • Lineage
          • Downloadable Reports
        • SSRS
          • Highlights
          • Analysis
          • Downloadable Reports
        • SAP BO
          • Highlights
          • Analysis
          • Lineage
          • Downloadable Reports
        • WebFOCUS
          • Highlights
          • Analysis
          • Downloadable Reports
      • Analytics
        • SAS
          • Highlight
          • Analysis
          • Lineage
          • Downloadable Reports
        • Alteryx
          • Highlights
          • Analysis
          • Lineage
          • Downloadable Reports
      • Shell
        • Highlights
        • Analysis
        • Lineage
        • Downloadable Reports
      • Integrated Assessment (EDW, ETL, Orchestration, BI)
        • Highlights
        • Analysis
        • Optimization
        • Lineage
        • Recommendations
    • Managing Assessment Reports
      • Downloading Report
      • Input Report Utility
      • View Configuration
    • Complexity Calculation Logic
    • Key Benefits
    • Ad hoc Query
  • Script/ Query Log/ Code Extraction Prerequisites
    • Cloud
      • Azure Data Factory
      • Snowflake
      • Azure Synapse
      • Google BigQuery
      • Redshift
      • Azure SQL Database Hyperscale
      • Aurora PostgreSQL
    • EDW
      • Oracle
      • Netezza
      • Teradata
      • Vertica
      • SQL Server
      • Db2
      • MySQL
      • PostgreSQL
    • ETL
      • DataStage
      • Informatica
      • SSIS
      • Talend
      • ODI
      • IICS
      • DBT
      • Pentaho
      • Matillion
      • SnapLogic
      • Ab Initio
      • SAP BODS
      • TAC
      • WebFOCUS
    • BI
      • IBM Cognos
      • OBIEE
      • Tableau
      • Metabase
      • MicroStrategy
      • PowerBI
      • LeapLogic Utility for SAP BO
      • SAP BO Universe and Web Intelligence
      • SSRS
    • Analytics
      • SAS
      • Alteryx
    • Orchestration
      • AutoSys
      • Control-M
      • SQL Server
    • Mainframe
  • Metadata Management
    • Overview
    • Introduction to Data Catalog
      • Managing Data Catalog
        • Building Data Catalog
        • Insights to Data Catalog
        • Managing the Repository and Data Source
      • Creating Repository (Repo)
      • Creating Data Source
    • Tag Management
    • Key benefits
  • Batch Processing using Pipeline
    • Introduction
    • Designing Pipeline
      • How to create a pipeline
        • Configuring Migration Stage
          • Schema Optimization
        • Configuring Transformation Stage
          • On-premises to Cloud
          • Cloud-to-Cloud
            • Assigning Roles
            • Intelligent Modernization
          • LeapFusion
        • Configuring Validation Stage
          • Data Validation
            • Table
            • File
            • File and Table
            • Cell-by-cell validation
          • Query Validation
            • Query Validation (When Data is Available)
            • Query Validation (When Data is Not Available)
          • Schema Validation
        • Configuring Execution Stage
        • Configuring ETL Conversion Stage
          • Ab Initio
          • Informatica
          • Informatica BDM
          • Matillion
          • DataStage
          • SSIS
          • IICS
          • Talend
          • Oracle Data Integrator
          • Pentaho
          • SnapLogic
        • Configuring Mainframe Conversion Stage
          • Cobol
          • JCL
        • Configuring Orchestration Stage
          • AutoSys
          • Control-M
        • Configuring BI Conversion Stage
          • OBIEE to Power BI
          • OBIEE to AWS QuickSight
          • Tableau to Amazon QuickSight
          • Tableau to Power BI
          • Tableau to Superset
          • Tableau to Looker
          • IBM Cognos to Power BI
        • Configuring Analytics Conversion Stage
          • SAS
          • Alteryx
        • Configuring Script Conversion Stage
    • Key Features
      • How to schedule a pipeline
      • Configuring Parameters
  • Pipeline Reports
    • Overview of Pipeline Report
    • Pipeline Listing
    • Reports and Insights
      • Migration
      • Transformation
        • On-premises to Cloud
        • Cloud-to-Cloud
      • Validation
        • Data
          • File
          • Table
          • File and Table
        • Query
          • Query Validation Report (When Data is Available)
          • Query Validation Report (When Data is not Available)
        • Schema
      • Execution
      • ETL
        • Ab Initio
        • Informatica
        • Informatica BDM
        • Matillion
        • DataStage
        • SSIS
        • IICS
        • Talend
        • Oracle Data Integrator
        • Pentaho
        • SnapLogic
      • Mainframe
        • Cobol
        • JCL
      • Orchestration
        • AutoSys
        • Control-M
      • BI
        • OBIEE to Power BI
        • OBIEE to Amazon QuickSight
        • Tableau to Amazon QuickSight
        • Tableau to Power BI
        • Tableau to Superset
        • Tableau to Looker
        • IBM Cognos to Power BI
      • Analytics
        • SAS
        • Alteryx
      • Shell Script
      • Common Model
    • Automation Level Indicator
      • ETL
        • Informatica
        • Matillion
        • DataStage
        • Informatica BDM
        • SnapLogic
        • IICS
        • Ab Initio
        • SSIS
        • Talend
        • Pentaho
      • Orchestration
        • AutoSys
        • Control-M
      • EDW
      • Analytics
        • SAS
        • Alteryx
      • BI
      • Shell Script
    • Error Specifications & Troubleshooting
  • SQL Transformation
    • Overview
    • Creating and Executing the Online Notebook
      • How to Create and Execute the Notebook
      • Supported Features
    • Configuring the Notebook
      • Transformation
      • Unit Level Validation
      • Script Level Validation
    • Notebook Listing
  • Operationalization
    • Overview
      • Basic
      • Advanced
      • Cron Expression
    • Parallel Run Pipeline Listing
  • Transformation Source
    • Introduction
    • Creating Transformation Source Type
  • Governance
    • Summary of Governance - Roles and Permissions
    • User Creation
      • Creating a new User Account
    • Adding Roles and permissions
      • How to add Roles and Permissions to a new user?
    • Adding Group Accounts
    • Manage Quota
    • Product Usage Metrics
  • License
    • Workload Assessment
    • EDW Conversion
    • ETL Conversion
    • BI Conversion
    • Orchestration Conversion
    • Data Migration
    • Data Validation
  • LeapLogic Desktop Version
    • Overview
    • Registration and Installation
    • Getting Started
    • Creating Assessment
      • ETL
      • DML
      • Procedure
      • Analytics
      • Hadoop
    • Reports and Insights
      • Downloadable Reports
      • Reports for Estimation
    • Logging and Troubleshooting
    • Sample Scripts
    • Desktop vs. Web Version
    • Getting Help
  • LeapLogic (Version 5.0) Deployment
    • System Requirements
    • Prerequisites
    • Deployment
      • Extracting Package
      • Placing License Key
      • Executing Deployment Script
      • Accessing LeapLogic
    • Uploading License
    • Appendix
    • Getting Help
  • Removed Features
    • Configuring File Validation Stage
    • Variable Extractor Stage
      • Variable Extractor Report
    • Configuring Meta Diff Stage
      • Meta Diff
    • Configuring Data Load Stage
      • Data Load
    • Configuring Multi Algo Stage
  • FAQs
  • Tutorial Videos
  • Notice
Home   »  Workload Assessment   »  Understanding Insights and Recommendations   »  Orchestration  »  AutoSys Assessment Report

AutoSys Assessment Report

This topic contains information about the AutoSys assessments report. AutoSys is an automated job scheduling tool that controls scheduling, monitoring, and executing tasks. The input formats for AutoSys assessment are TXT or JIL.

In This Topic:

  • Highlights
    • Summary
    • Job Type
    • Complexity
    • Job Trigger Frequency
    • Watch Files
  • Analysis
    • Orchestration Details
    • Artifacts
  • Lineage
  • Downloadable Reports
    • Insights and Recommendations
    • Source Inventory Analysis
    • Lineage Report


Highlights

The highlights section gives you a high-level overview of your assessment summary based on the analysis of the selected scheduler scripts. It includes a graphical depiction of the type of jobs as well as orchestration details.

Summary

This section summarizes the input AutoSys scripts, including the number of files, boxes, jobs, and so on.

  • Files: Number of input source files.
  • Boxes: A box job is a container for multiple jobs. It controls scheduling, monitoring, and executing tasks.
  • Jobs: Controls the system for scheduling, monitoring, and executing tasks.
  • Unique Commands: Displays the number of unique commands.
  • Servers: Displays the number of database servers where the AutoSys job details are stored.
  • Total Job Triggers: Displays the total number of triggers.

Job Type

This section provides comprehensive information about Autosys job types along with its counts.

  • Command: Used to execute workloads.
  • File Watcher: Used to keep track of the presence and size of files.
  • Box: A box job is a container for multiple jobs.
  • HTTP: Used to invoke HTTP services.
  • DBPROC: Used to execute database stored procedures.

Complexity

This section provides a summarized graphical representation of the complexity of jobs and boxes that helps in making different decisions, including budget estimation and assessing the effort required to transform the workloads.

Job Trigger Frequency

This section provides information about triggers, including the total number of triggers, frequency (such as daily, weekly, and others), and the count of scheduled triggers.

  • Total Job Triggers: Displays the total number of triggers.
  • Frequency: Displays the frequency of jobs such as daily, weekly, twice a week, etc., along with the number of triggers.

Watch Files

This section provides comprehensive information about watch files, including the total number of watch files, types, and its count.

  • Total Watch Files: Displays the total number of watch files.
  • Name: Displays top 5 watch file types such as Zip, TXT, CSV, etc., along with its count.

Analysis

This topic provides a detailed examination of jobs existing in the AutoSys scripts.

Orchestration Details

This section provides a complete analysis of the jobs. Jobs are scheduler scripts (such as AutoSys or Control-M) that run in a certain order to perform a set of activities. It lists all the jobs along with the information about jobs such as types, status, start time, and more.

  • Jobs Name: Displays the name of the jobs.
  • Type: Displays the type of jobs such as box, file watcher, CMD, etc.
  • Associated File: Displays the name of the source scripts that are associated with the jobs.
  • Start Time: Displays the job execution time.
  • Conditions: Displays the conditions that must be met for a job to run.
  • Commands: Displays the commands used in the jobs.
  • Availability: Displays the availability of jobs.
    • Available: Jobs that are available in both scripts and execution logs.
    • Unavailable: Jobs that are available in scripts but not in execution logs.

Artifacts

This section lists all the artifacts that could not be parsed completely due to some error.

  • File Name: Displays name of the artifact.
  • Unparsed Message: Displays the reason for not parsing the file.


Lineage

End-to-end data and process lineage identify the complete dependency structure through interactive and drill-down options to the last level.

Typically, even within one line of business, multiple data sources, entry points, ETL tools, and orchestration mechanisms exist. Decoding this complex data web and translating it into a simple visual flow can be extremely challenging during large-scale modernization programs. The visual lineage graph adds tremendous value and helps define the roadmap to the modern data architecture. It deep dives into all the existing flows, like Autosys jobs, applications, ETL scripts, BTEQ/Shell (KSH) scripts, procedures, input and output tables, and provides integrated insights. These insights help data teams make strategic decisions with greater accuracy and completeness. Enterprises can proactively leverage integrated analysis to mitigate the risks associated with migration and avoid business disruption.

Now, let’s see how you can efficiently manage lineage.

To view the required lineage:

  1. Select either the Process or Data tab.
  2. Enter the keywords in the Search Keywords field.
  1. Click the Search icon to generate the lineage.

Process lineage illustrates the dependencies between two or more processes such as files, jobs, box, etc., whereas data lineage depicts data flow between two or more data-holding components such as entities, flat files, etc. 

In addition, the filter search icon allows you to include or exclude particular nodes to obtain the required dependency structure. You can also choose the direction of the lineage. By default, the Dependency Direction is Left to Right Hierarchy. You can also choose Right to Left Hierarchy or Bidirectional dependency directions as required. Moreover, you can also increase the Hierarchy Levels to nth level.

Lineage facilitates you visualize how your selected nodes are connected and depend on each other. The nodes and their connecting edges (relationships) help you to understand the overall structure and dependencies.

Nodes Edges
File Contains
Job OTHERS
Autosys Box

Manage Lineage

This feature enables you to view and manage your lineage. You can add, modify, or delete nodes and their relationships to generate an accurate representation of the required dependency structure. There are two ways to update the lineage: either using Complete Lineage report or Lineage Template.

Using Complete Lineage report

Follow the below steps to modify the lineage:

  1. Click the Manage Graph icon.
  1. Click Download Complete Lineage to update, add, or delete the nodes and their relationships in the current lineage.
  1. Once the complete lineage report is downloaded, you can make necessary updates such as updating, deleting or adding the nodes and its relationships.
  2. After making the required changes, upload the updated lineage report in Upload to Modify Lineage.
  3. Click Apply to incorporate the updates into the dependency structure.
  4. Generate the required process or data lineage.

Using Lineage Template

Follow the below steps to add new nodes and their relationships to the current lineage report:

  1. Click the Manage Graph icon.
  1. Click Download Lineage Template.
  1. Once the lineage template is downloaded, you can add new nodes and relationships in the template.
  2. After making the required changes, upload the template in Upload to Modify Lineage.
  3. Click Apply to incorporate the updates into the complete dependency structure.
  4. Generate the required process or data lineage.

Important

To effectively manage lineage, you must adhere to the following rules:

  • Do not modify the column headers or their order in the Complete Lineage report or the Lineage template. The following are the column headers: source_name, source_type, target_name, target_type, relation_type, and database_id.
  • When deleting a row, retain the value in the database_id column and clear all the other column values.
  • When inserting a row, add all the column values except in the database_id column.
  • When updating a row, ensure that all the columns have relevant data.


Downloadable Reports

Downloadable reports allow you to export detailed Autosys assessment reports of your source data which enables you to gain in-depth insights with ease. To access these assessment reports, click Reports.

Types of Reports

In the Reports section, you can see various types of reports such as Insights and Recommendations, Source Inventory Analysis, and Lineage Report. Each report type offers detailed information allowing you to explore your assessment results.

Insights and Recommendations

This report provides an in-depth insight into the source input files. It contains the final output including information about jobs, triggers, file watchers, files, and so on.

Here, you can see AutoSys_Assessment_Report.xlsx and Lineage Dependency Report.xlsx reports

AutoSys_ Assessment_Report.xlsx: This report provides insights about the source inventory. It helps you plan the next frontier of a modern data platform methodically. It includes information about jobs, triggers, file watchers, files, and more.

This report contains the following information:

  • Report Summary: Provides information about all the generated artifacts.
  • Volumetric Info: Presents a summary of the aggregated inventory after analyzing the source files. For instance, it provides volumetric info about jobs, unique commands, stored procedures, servers, and likewise.
  • Job Analysis: Provides comprehensive information about the AutoSys job types along with its count.
  • File Watcher Analysis: Provides summarized information about file watcher types along with its count.
  • Trigger Analysis: Provides summarized information about frequency and count of scheduled jobs, such as daily, weekly, and others.
  • Calendar Analysis: Provides summarized information about unique calendars along with its count.
  • External Files: Lists all the external files associated with the jobs.
  • Unparsed Files: Provides details about the AutoSys unparsed files.
  • Stored Procedure Details: Provides a summary of the stored procedures including dependent jobs, conditions, and more.
  • Box Summary: Lists all the boxes along with information about jobs, job and box complexity factors, complexity and more.
  • Job Summary: Lists all the jobs along with information such as whether the box and job are scheduled differently, its complexity, and more.

Lineage Dependency Report.xlsx: This report contains information about views, job level and file level lineages. It includes information about used and impacted tables, views, files, direct dependencies, dependency hierarchy and more.

This report contains the following information:

  • view_report: Provides information about the views.
  • script_report: Provides information about job and file level lineages.

Source Inventory Analysis

It is an intermediate report which helps to debug failures or calculate the final report. It includes all the generated CSV reports

autosys_job_complexity.csv: This report provides information about jobs along with its complexity, and type.

CommandJobReport.csv: This report provides information about jobs including dependent jobs, types, commands, and more.

JobInfo.csv: This report provides detailed information about jobs including associated jobs, files, and more.

Missing Dependent Job.csv: This report provides detailed information about missing jobs along with its parent jobs.

unparsed-autosys-attribute.csv: This report lists all the unparsed AutoSys attributes along with the reason for parsing failure.

unparsed-autosys-job.csv: This report lists all the unparsed jobs along with the reason for parsing failure.

Lineage Report

This report provides complete dependency details for all nodes. It provides an end-to-end data and process lineage that helps to identify the complete dependency structure and the data flow.

This report contains the following information:

  • Volumetric Info: Provides volumetric information about the artifact types such as orchestration jobs and files.
  • Nodes: Lists all the source and target nodes along with its type.
  • Dependency (Process): Provides information about the process lineage.
  • Dependency (Data): Provides information about the data lineage.
  • Dependency (Data Model): Provides dependency details about the data models.


To learn more, contact our support team or write to: info@leaplogic.io

Copyright © 2025 Impetus Technologies Inc. All Rights Reserved

  • Terms of Use
  • Privacy Policy
  • License Agreement
To the top ↑ Up ↑