Release path
1.0.1Published Mar 4, 2026@pasar6987/sf-loyalty-batch-processing
High-volume batch job definitions, execution tracking, partitioning, and failed record handling for loyalty operations.
Published package · Latest published 1.0.1 Mar 4, 2026 · 8 datasets / 8 measures in the latest review · Updated Mar 11, 2026
Publisher
@pasar6987Published Mar 4, 2026Structure snapshot
8 datasets8 measures · 149 dimensionsReference context
Secondary package facts stay compact
- Updated
- Mar 11, 2026
- Visibility
- Public hub listing
- License
- MIT
- Created
- Mar 4, 2026
Reference facts
Secondary package facts after the usage path is clear
Licensing, categorization, ownership, and linked metadata stay below the runnable path so the page reads in the right order.
Format
Upstream
Repository
Domain
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Owner
@pasar6987Organization
License
Visibility
Publisher
Latest published version
Tags
Schema preview
SDK handoff
Use this package in code and AI
After structure review, move straight into typed reads with load() or compact LLM context with to_prompt().
Python SDK
Python example for @pasar6987/sf-loyalty-batch-processing
This example uses the current package ref and, when preview data is available, fills in real dataset names from the published summary.
import rawctx
model = rawctx.load("@pasar6987/sf-loyalty-batch-processing")
prompt = rawctx.to_prompt(
"@pasar6987/sf-loyalty-batch-processing",
datasets=["BatchCalcJobDefinition", "BatchCalcJobDefinitionView"],
max_tokens=2000,
)
print(model.datasets) # ["BatchCalcJobDefinition", "BatchCalcJobDefinitionView", "BatchJob"]
print(model.measures) # [Measure(name="BatchJob.RetryCount", ...), Measure(name="BatchJobPart.FailedRecordCount", ...), Measure(name="BatchJobPart.InputRecordCount", ...)]
print(model.dimensions) # [Dimension(name="BatchJobDefinitionId", ...), Dimension(name="DataSpaceApiName", ...), Dimension(name="DefinitionRunMode", ...)]
print(model.relationships) # [Relationship(name='...', ...)]
print(prompt)README
Package narrative and examples
Use documentation after the package clears provenance, ownership, and runnable-path checks.
@pasar6987/sf-loyalty-batch-processing
High-volume batch job definitions, execution tracking, partitioning, and failed record handling for loyalty operations.
Overview
| Count | |
|---|---|
| Objects (Datasets) | 8 |
| Dimensions | 149 |
| Measures | 8 |
| Relationships | 6 |
Objects
- BatchCalcJobDefinition — Represents a Data Processing Engine (DPE) definition.
- BatchCalcJobDefinitionView — Represents the details of a Data Processing Engine definition. The definition can also be a file-based definition that is available in your Salesforce org.
- BatchJob — Represents an instance of a batch job that is either running and has been run.
- BatchJobDefinition — Represents the definition of a batch job.
- BatchJobPart — Represents one part of a batch job.
- BatchJobPartFailedRecord — Represents records that a batch job part couldn't successfully process.
- BatchProcessJobDefView — Represents the details of a Batch Job definition. The definition can also be file-based definitions that are available in your Salesforce org.
- BatchProcessJobDefinition — Represents the details of a Batch Management job.
Install
rawctx snapshot-download @pasar6987/sf-loyalty-batch-processing
Structure review
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Use the structural review when you need the package footprint, field counts, and model paths before a deeper explorer pass.
Topology
Semantic graph
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Semantic Graph
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Loading graph
Semantic topology is still loadingCounts and graph nodes appear after the latest published summary has been fetched.
