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
  • 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
      • 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
  • 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
          • LeapLogic Express
        • 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
        • LeapLogic Express
      • 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
    • Default Quota Limits
    • Product Usage Metrics
  • License
    • EDW
    • ETL
  • 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 4.8) 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   »  EDW   »  Oracle  »  Analysis

Analysis

This topic provides a detailed examination of applications, users, queries (by statement types and query constructs), entities, files, and more. Based on the pre-defined SLAs, cost, resource consumption, etc., the Analysis page shows a glimpse into the most eligible workloads for migration.

In this Topic:

  • DML Script
    • Applications
    • Users
    • Files
    • Queries
    • Entities
    • Artifacts

Related Topics

  • Highlights
  • Analysis
  • Optimization
  • Lineage
  • Recommendations
  • Downloadable Reports

DML Script

Applications

This section provides a summary for all the applications comprising of execution time required for the application, CPU, and I/O utilization of applications and so on.

  • Application Name: Name of the application.
  • Execution Time (%): Percentage of time required to execute the application.
  • CPU (%): Percentage of CPU utilization.
  • I/O (%): Percentage of I/O utilization.
  • Total Schemas: Provides the total number of schemas.
  • Total Queries: Provides the total number of queries.
  • Number of Users: Provides the total number of users in the application.

Browse through each application to get more information about the queries, schemas, and users.

Queries

Displays a list of queries along with its analysis status, complexity and so on.

  • Status: Displays the query analysis status as Analyzed or Not Analyzed.
    • Analyzed: Indicates the query is analyzed.
    • Not Analyzed: Indicates the query is not analyzed due to some impediments. If the query status is not analyzed, then it displays the reason for failure.
  • CPU (%): Percentage of CPU utilization.
  • I/O (%): Percentage of I/O utilization.
  • Complexity: Provides the complexity of queries.
  • Execution Frequency: Provides the frequency of execution.

Schemas

Displays a list of schemas along with the execution time, number of tables, and so on.

  • Schema Name: Name of the schema.
  • Execution Time (%): Percentage of time required to execute the application.
  • CPU (%): Percentage of CPU utilization.
  • I/O (%): Percentage of I/O utilization.
  • No. of Tables: Displays the number of tables in the schema.
  • Unique Queries (Text): Displays the number of unique queries.

Users

Displays a list of users along with the execution time, total number of queries, unique queries and so on.

  • User Name: Name of the user.
  • Execution Time (%): Percentage of time required to execute the application.
  • CPU (%): Percentage of CPU utilization.
  • I/O (%): Percentage of I/O utilization.
  • Unique Queries (Pattern): Displays the number of unique pattern queries. Unique pattern queries identify the distinct query structures, but the query structure’s values may change.
  • Unique Queries (Text): Displays the number of unique queries. In Unique Queries (Text), the duplicate queries are eliminated, and solitary queries are identified.
  • Total Queries: Displays the total number of queries.

The GRAPH section illustrates a detailed analysis of all applications. It displays the graphical view of execution time required for the application, CPU, and I/O utilization of applications and so on.

Users

This section provides a summary for all the users comprising of execution time required for the users, CPU, and I/O utilization of users and so on.

  • All Users: Displays a list of all users.
  • Execution Time (%): Provides the execution time for users in percentage.
  • CPU (%): Percentage of CPU utilization.
  • I/O (%): Percentage of I/O utilization.
  • Total Queries: Provides the total number of queries.

Browse through each user to get more insights regarding the associated schemas and applications.

Schemas

This section provides details about the schemas associated with the users.

  • Schema Name: Name of the schema.
  • Execution Time: Time required for the execution.
  • CPU (%): Percentage of CPU utilization.
  • I/O (%): Percentage of I/O utilization.
  • No. of Tables: Provides the number of tables.
  • Total Queries: Provides the total number of queries.

Applications

This section provides details about the applications associated with the users.

  • Application Name: Name of the application.
  • Number of Total Queries: Displays the total number of queries.
  • Unique Queries (Pattern): Displays the number of unique pattern queries. Unique pattern queries identify the distinct query structures, but the query structure’s values may change.
  • Unique Queries (Text): Displays the number of unique queries. In Unique Queries (Text), the duplicate queries are eliminated, and solitary queries are identified.
  • Execution (%): Provides the execution time for application in percentage.
  • CPU (%): Percentage of CPU utilization.
  • I/O (%): Percentage of I/O utilization.

The GRAPH section illustrates a detailed analysis of all applications. It displays the graphical view of execution time required for the users, CPU, and I/O utilization of users and so on.

Files

This section provides a comprehensive report of the source files with information about the total number of files, complexity, and queries associated with each file.

Click the preferred File Name row to gain more insights into the queries present in each file. Here, the queries are categorized into used queries and unused queries.

  • Unique (Text): Duplicate queries are eliminated, and solitary queries are identified.
  • Used Queries: Displays the number of queries that are used in both DML scripts and Execution logs.
  • Unused Queries: Displays the number of queries that are used in DML scripts but not in Execution logs.
  • Schema Name: Name of the schema.
  • Complexity: Provides the complexity of queries.
  • Execution Frequency: Provides the frequency of execution.

The GRAPH section displays the graphical view of files comprising execution time (%), I/O (%), and CPU (%).

Queries

This page displays graphical (GRAPH) and detailed (LIST) analysis of unique and analyzed queries from the total input queries after considering the different SLAs. Moreover, it presents details about the unique query text, unique query patterns, and analyzed and not analyzed queries.

Unique (Text)

This section displays a list of all the unique queries. Additionally, it shows the total number of unique queries and the number of queries segregated by the statement type. In Unique (Text), the duplicate queries are eliminated, and solitary queries are identified.

  • Status: Displays the query analysis status as Analyzed or Not Analyzed.
    • Analyzed: Indicates the query is analyzed.
    • Not Analyzed: Indicates the query is not analyzed due to some impediments. If the query status is not analyzed, then it displays the reason for failure.
  • CPU (%): CPU utilization percentage.
  • I/O (%): I/O utilization percentage.
  • Users: Displays users’ information.
  • Applications: Displays application details.
  • Execution Frequency: Provides the frequency of execution.
  • Complexity: Displays the query complexity.

Unique (Pattern)

This section displays a list of all queries with unique patterns. Additionally, it shows the total number of unique pattern queries and the number of queries segregated by the statement type. Unique pattern queries identify the distinct query structures, but the query structure’s values may change.

Analyzed

This section displays a list of all queries that meet the analysis criteria. Additionally, it shows the total number of analyzed queries and the number of queries segregated by statement type.

  • Status: Displays the query analysis status as Analyzed or Not Analyzed.
    • Analyzed: Indicates the query is analyzed.
    • Not Analyzed: Indicates the query is not analyzed due to some impediments. If the query status is not analyzed, then it displays the reason for failure.
  • CPU (%): CPU utilization percentage.
  • I/O (%): I/O utilization percentage.
  • Users: Displays users’ information.
  • Applications: Displays applications’ details.
  • Execution Frequency: Provides the frequency of execution.
  • Complexity: Displays the query complexity.

Not Analyzed

This section displays a list of all queries that did not meet the analysis criteria. Additionally, it shows the total number of not analyzed queries as well as the number of queries segregated by statement type.

  • Status: Displays the query analysis status as Analyzed or Not Analyzed.
    • Analyzed: Indicates the query is analyzed.
    • Not Analyzed: Indicates the query is not analyzed due to some impediments. If the query status is not analyzed, then it displays the reason for failure.
  • CPU (%): CPU utilization percentage.
  • I/O (%): I/O utilization percentage.
  • Users: Displays users’ information.
  • Applications: Displays application details.
  • Execution Frequency: Provides the frequency of execution.
  • Failure Message: Displays the error message.

The GRAPH section illustrates a detailed analysis of all queries. It demonstrates query distributions based on unique text, unique pattern, analyzed and non-analyzed queries, etc.

Entities

This section displays graphical (GRAPH) and detailed analysis (LIST) for the analyzed entities based on the frequency of use and provides information about all the available tables and views used in the queries. Entities are:

  • Tables: Encapsulates information about All Tables, Used Tables, Unused Tables, and Missing Tables.
  • Views: Contributes information about All Views, Used Views, Unused Views, and Missing Views.

Tables

Encapsulates information about All Tables, Used Tables, Unused Tables, and Missing Tables.

  • Table Name: Name of the table.
  • Table Type: Type of the table.
  • Data Source: Displays details of the data source.
  • Data Volume: Displays the quantity of data.
  • Materialized View: These are queries used to store data in the physical tables where you can define to update the table automatically when changes are made in the source tables or execute a command to update the tables.
  • Frequency of Use: Displays the frequency of table used.
  • Primary Key: To identify unique row in the table. It will not accept NULL values.
  • Unique Key: To identify records in a table.
  • No. of Create: Displays number of CREATE queries in the table.
  • No. of Delete: Displays number of DELETE queries in the table.
  • No. of Insert: Displays number of INSERT queries in the table.
  • No. of Read: Displays number of READ queries in the table.
  • No. of Update: Displays number of UPDATE queries in the table.
  • No. of Rows: Displays number of rows in the table.
  • Primary Index: Indexes based on the primary key.
  • Unique Primary Index: Contains unique values in the column of the index table.
  • Index: Indexes are lookup tables that help to quickly retrieve data from the database.
  • Queries Executed: Number of queries that are executed.
  • Transactional: Displays the number of data flow components that are used to perform sorting, merging, data cleansing and so on.
  • Where: Displays number of Where clause.
  • Join: Displays number of Joins.
  • Blocks: Displays number of blocks.
  • Files: Displays the name of the associated file.

Views

Contributes information about All Views, Used Views, Unused Views, and Missing Views.

  • View Name: Name of the view.
  • Data Source: Displays details of the data source.
  • Frequency of Use: Displays the frequency of views used.
  • No. of Create: Displays number of CREATE queries in the table.
  • No. of Delete: Displays number of DELETE queries in the table.
  • No. of Insert: Displays number of INSERT queries in the table.
  • No. of Read: Displays number of READ queries in the table.
  • No. of Update: Displays number of UPDATE queries in the table.
  • Queries Executed: Number of queries that are executed.
  • Where: Displays number of Where clause.
  • Join: Displays number of Joins.

The GRAPH of entities displays a graphical illustration of detailed entity analysis after considering different SLAs. In this visual summary, you can see the distribution of tables, views, and entities, as well as information about Permanent, Temporary, or Intermediate table types.

Artifacts

This section gives details about artifacts (collections of related server data). Artifact types are:

  • Missing Artifacts: When artifacts are absent or not recognized in a configured assessment, or a dependency cannot be recognized, they are considered missing artifacts.
  • Additional Artifacts: Artifacts that do not have a reference in the input artifacts are referred to as additional artifacts.
  • Unparsed Artifacts: Unparsed artifacts are artifacts that are unable to be parsed by the engine.

Missing Artifacts

This section provides the details of all the missing artifacts. Additionally, this section categorizes the missing artifacts into files and entities that are missing.

  • Artifact Name: Name of the artifact.
  • Type: Provides the artifact type such as a file, table, view etc.
  • Linkage: Provides the linked or associated file names.

Additional Artifacts

This section provides the details of all the artifacts that appear additionally. It also categorizes the additional artifacts into files and entities that appeared additionally.

  • Artifact Name: Name of the artifact.
  • Type: Provides the artifact type such as a file, table, view etc.
  • Linkage: Provides the linked or associated file names.

Unparsed Artifacts

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

  • File Name: Name of the file on which the unparsed query is present.
  • Type: Type of the file.
  • Error on Line Number: Displays the line number that contains the error.

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 ↑