Preface
Understanding Domains
- Understanding Domains Overview
- Nodes
- Service Manager
- Application Services
- High Availability
- Informatica Data Usage Policy
  - Configuring Informatica DiscoveryIQ Proxy Details
  - Disabling Informatica Data Usage
Managing Your Account
- Managing Your Account Overview
- Password Management
  - Changing Your Password
- Preferences
- Informatica Network Credentials
  - Enter Informatica Network Credentials
  - Searching Informatica Knowledge Base
Using Informatica Administrator
- Using Informatica Administrator Overview
- Log In to Informatica Administrator
  - Informatica Administrator URL
  - Troubleshooting the Login to Informatica Administrator
- Manage Tab
- Manage Tab - Domain View
  - Details Panel
  - Resource Usage Indicators
- Manage Tab - Services and Nodes View
- Manage Tab - Connections View
- Manage Tab - Schedules View
- Monitor Tab
- Monitor Tab - Summary Statistics View
- Monitor Tab - Execution Statistics View
- Logs Tab
- Reports Tab
- Security Tab
- Service States
- Process States
- Job States
- Informatica Administrator Accessibility Overview
  - Keyboard Shortcuts
Using the Domain View
- About the Domain View
- Dependency Graph
  - Viewing Dependencies for Application Services, Nodes, and Grids
  - Recycling or Disabling Downstream Services
- Command History
- History View
  - Viewing History
  - Viewing Events
Domain Management
- Domain Management Overview
- Alert Management
- Folder Management
- Domain Security Management
- User Security Management
- Application Service Management
- Gateway Configuration
  - Configuring the Gateway and Worker Nodes
- Domain Configuration Management
- Rename the Domain
- Shutting Down a Domain
- Domain Properties
Nodes
- Nodes Overview
- Node Types
- Node Roles
- Define and Add Nodes
  - Adding Nodes to the Domain
- Configuring Node Properties
- Shutting Down and Restarting the Node
- Removing the Node Association
- Removing a Node
High Availability
- High Availability Overview
- Resilience
- Restart and Failover
  - Domain Failover
  - Application Service Restart and Failover
- Recovery
- Configuration for a Highly Available Domain
- Troubleshooting High Availability
Connections
- Connections Overview
- Connection Management
- Pass-through Security
  - Pass-Through Security with Data Object Caching
  - Adding Pass-Through Security
- Pooling Properties in Connection Objects
Connection Properties
- Connection Properties Overview
- Adabas Connection Properties
- Amazon Redshift Connection Properties
- Amazon S3 Connection Properties
- Blockchain Connection Properties
- Cassandra Connection Properties
- Confluent Kafka Connection
  - General Properties
  - Confluent Kafka Broker Properties
  - SSL Properties
  - Creating a Confluent Kafka Connection Using infacmd
- Databricks Connection Properties
- Greenplum Connection Properties
- Google Analytics Connection Properties
- Google BigQuery Connection Properties
  - Connection Modes
- Google Cloud Spanner Connection Properties
- Google Cloud Storage Connection Properties
- Google PubSub Connection Properties
- Hadoop Connection Properties
  - Hadoop Cluster Properties
  - Common Properties
  - Reject Directory Properties
  - Blaze Configuration
  - Spark Configuration
- HBase Connection Properties
- HDFS Connection Properties
- HBase Connection Properties for MapR-DB
- Hive Connection Properties
- HTTP Connection Properties
- IBM DB2 Connection Properties
- IBM DB2 for i5/OS Connection Properties
- IBM DB2 for z/OS Connection Properties
- IMS Connection Properties
- JDBC Connection Properties
- JDBC V2 Connection Properties
- JD Edwards EnterpriseOne Connection Properties
- Kafka Connection Properties
  - General Properties
  - Kafka Broker Properties
  - SSL Properties
  - Creating a Kafka Connection Using infacmd
- Kudu Connection Properties
- LDAP Connection Properties
- Microsoft Azure Blob Storage Connection Properties
- Microsoft Azure Cosmos DB SQL API Connection Properties
- Microsoft Azure Data Lake Storage Gen1 Connection Properties
- Microsoft Azure Data Lake Storage Gen2 Connection Properties
- Microsoft Azure SQL Data Warehouse Connection Properties
- MS SQL Server Connection Properties
- Netezza Connection Properties
- OData Connection Properties
- ODBC Connection Properties
- Oracle Connection Properties
- Salesforce Connection Properties
- Salesforce Marketing Cloud Connection Properties
- SAP Connection Properties
- Sequential Connection Properties
- Snowflake Connection Properties
- Teradata Parallel Transporter Connection Properties
- Tableau Connection Properties
- Tableau V3 Connection Properties
- Twitter Streaming Connection Properties
- VSAM Connection Properties
- Web Services Connection Properties
- Identifier Properties in Database Connections
  - Regular Identifiers
  - Delimited Identifiers
  - Identifier Properties
Schedules
- Schedules Overview
- Create and Edit Schedules
  - Creating a Schedule
  - Editing a Schedule
- Pausing and Resuming a Schedule
- Removing Jobs from a Schedule
- Deleting a Schedule
Domain Object Export and Import
- Domain Object Export and Import Overview
- Export Process
  - Rules and Guidelines for Exporting Domain Objects
- View Domain Objects
  - Viewable Domain Object Names
- Import Process
  - Rules and Guidelines for Importing Domain Objects
  - Conflict Resolution
License Management
- License Management Overview
- Types of License Keys
  - Original Keys
  - Incremental Keys
- Creating a License Object
- Assigning a License to a Service
  - Rules and Guidelines for Assigning a License to a Service
- Unassigning a License from a Service
- Updating a License
- Removing a License
- License Properties
Monitoring
- Monitoring Overview
- Configuring Monitoring
  - Step 1. Configure Monitoring Settings
  - Step 2. Configure Reports and Statistics Views
- Optimizing Monitoring Performance
- Summary Statistics
  - Viewing Summary Statistics
- Monitor Data Integration Services
  - Properties View for a Data Integration Service
  - Reports View for a Data Integration Service
- Monitor Ad Hoc Jobs
- Monitor Applications
  - Properties View for an Application
  - Reports View for an Application
- Monitor Deployed Mapping Jobs
- Monitor Logical Data Objects
- Monitor SQL Data Services
- Monitor Web Services
- Monitor Workflows
- Job Status After Application Service Restart or Failover
- Monitoring a Folder of Objects
Log Management
- Log Management Overview
- Log Manager Architecture
- Log Location
- System Logs
- Log Management Configuration
- Using the Logs Tab
- Log Events
- Log Aggregator
  - Aggregating Application Service Logs
  - Processing Aggregated Application Service Logs
- Mapping Task Logs
Domain Reports
- Domain Reports Overview
- License Management Report
- Web Services Report
Node Diagnostics
- Node Diagnostics Overview
- Informatica Network Login
  - Logging In to the Informatica Network
- Generating Node Diagnostics
- Downloading Node Diagnostics
- Uploading Node Diagnostics
- Analyzing Node Diagnostics
  - Identify Bug Fixes
  - Identify Recommendations
Understanding Globalization
- Globalization Overview
  - Unicode
  - Working with a Unicode PowerCenter Repository
- Locales
- Data Movement Modes
  - Character Data Movement Modes
    - ASCII Data Movement Mode
    - Unicode Data Movement Mode
  - Changing Data Movement Modes
- Code Page Overview
- Code Page Compatibility
- Code Page Validation
- Relaxed Code Page Validation
- PowerCenter Code Page Conversion
  - Choosing Characters for PowerCenter Repository Metadata
- Case Study: Processing ISO 8859-1 Data
  - Configuring the ISO 8859-1 Environment
- Case Study: Processing Unicode UTF-8 Data
  - Configuring the UTF-8 Environment
Appendix A: Code Pages
- Supported Code Pages for Application Services
- Supported Code Pages for Sources and Targets
Appendix B: Custom Roles
- Analyst Service Custom Role
- Metadata Manager Service Custom Roles
- Operator Custom Role
- PowerCenter Repository Service Custom Roles
- Test Data Manager Custom Roles
Appendix C: Informatica Platform Connectivity
- Informatica Platform Connectivity Overview
- Domain Connectivity
  - Model Repository Connectivity
- PowerCenter Connectivity
- Native Connectivity
- ODBC Connectivity
- JDBC Connectivity
Appendix D: Configure the Web Browser
- Configure the Web Browser

Administrator Guide

10.5
- 10.5.6
- 10.5.4
- 10.5.3
- 10.5.2
- 10.5.1
- 10.4.1
- 10.4.0

Back Next

Monitor Ad Hoc Jobs

You can monitor ad hoc jobs on the

Monitor

tab. Ad hoc jobs are jobs that users run from the Developer tool or the Analyst tool.

An ad hoc job is a preview, scorecard, profile, mapping, audit, or reference table process that a user runs from the Developer tool or the Analyst tool. When a user runs a job, a Data Integration Service runs the job process and the job appears in the Monitor tab.

You can run up to five jobs at a time from the Developer tool. All remaining jobs are queued, and do not appear in the Monitor tab until they run.

By default, you can monitor jobs that you run. If you have the appropriate monitoring privilege, you can also view jobs that other users run.

When you select

Ad Hoc Jobs

in the Navigator of the

Execution Statistics

view, a list of jobs appears in the contents panel. The contents panel groups related jobs based on the job type. You can expand a job type to view the related jobs under it. For example, when you run a profile job, the Data Integration Service converts the job into a mapping. The mapping appears under the profile job in the contents panel.

When you select a job in the contents panel, you can view logs for the job, view context for the job, or cancel the job. You can also view properties for the job in the details panel. Depending on the type of job, the details panel might show general properties, mapping properties, or statistics.

When you select Ad Hoc jobs in the Navigator of the Execution Statistics view, a list of jobs appears in the contents panel. The contents panel groups related jobs based on the job type. You can expand a job type to view the related jobs under it.

The following list describes the types of properties and statistics that can appear in the details panel:

Properties: Shows the general properties about the selected job, such as the name, job type, user who ran the job, and start time of the job.
If the job ran on a grid, the details panel shows the node that the job ran on.

Mapping Properties: You can view mapping properties when you select a profile or scorecard job in the contents panel.
These jobs have an associated mapping. You can view mapping properties such as the request ID, the mapping name, and the log file name. You can also view throughput and resource usage statistics for the associated mappings.
Blaze Execution Plan: You can view a Blaze execution plan when you run a mapping with the Blaze engine in the Hadoop environment. The Blaze execution plan displays the Blaze engine script that the Data Integration Service generates based on the mapping logic, the unique identifier for the script, and the tasks that the script depends on.
Summary Statistics: You can view summary statistics you select an ad hoc mapping job, deployed mapping job, or mapping object in a workflow in the contents panel. The
Summary Statistics
view displays throughput and resource usage statistics for the job run.
The following image shows the
Summary Statistics
view for a mapping job:; You can also view the summary statistics for the source or target on the
Summary Statistics
tab, such as processed rows and bytes.; Only the
number of rows processed
appears in the Summary Statistics for the Hive source and target. The remaining property values appears as 0 or N/A for the Hive source or target.
Detailed Statistics: You can view detailed statistics for an ad hoc mapping job, deployed mapping job, or mapping object in a workflow in the contents panel. Detailed statistics appear for jobs that run longer than one minute in separate local processes. The
Detailed Statistics
view displays graphs of the throughput and resource usage statistics for the job run.
The following image shows the
Detailed Statistics
view for a mapping job in a workflow:
Historical Statistics: You can view historical statistics when you select an ad hoc mapping job, deployed mapping job, or mapping object in a workflow in the
Contents
panel. The
Historical Statistics
view shows averaged data from the last 500 runs for a specific job. For example, you can view the minimum, maximum, and average duration of the mapping job. You can view the average amount of CPU that the job consumes when it runs. You can choose to view averages for mapping jobs with different states, such as completed, canceled, or aborted. A bar graph shows the number of jobs in each state. Click a link below the bar graph to view statistics for a specific state.
The following image shows the
Historical Statistics
view for a mapping job that completed three times and failed one time:
Aggregated Cluster Logs: You can get aggregated cluster logs for deployed Hadoop mappings, Databricks mappings, auto-deploy cluster jobs, local files, and Spark data preview jobs based on the job ID. You can get a .zip or tar.gz file of the aggregated cluster logs for a job and write the compressed aggregated log file to a target directory. You can also use the infacmd ms
fetchAggregatedClusterLogs
command or use the REST API to collect the aggregated cluster logs for a job.; For more information about the infacmd ms
fetchAggregatedClusterLogs
command, see the
Informatica 10.4.0 Command Reference
.