Analytics Catalog/Oracle Fusion ERP/Fusion Accounting Hub/Accounting Hub Journal Entry Line Extract
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Fusion Accounting Hub

Accounting Hub Journal Entry Line Extract

Fusion Accounting Hub

The journal entry lines the Accounting Hub creates from external source systems — each line's account, entered and accounted amounts, source transaction, and event type — the single extract that carries third-party subledger accounting into your GL and warehouse. One pattern serves every source system.

Related  One extract replaces the per-source-system variants — it serves every Accounting Hub source on a single, parameter-driven pattern.

Run note · Performance  The subledger (XLA) join — especially Projects-to-XLA — is a known BI Publisher performance trap on large ledgers. Pre-join it in the warehouse, or apply tight ledger, period, and source filters before running online.

Sample build of the Accounting Hub Journal Entry Line Extract — reconciled, and rendered tool-neutral so it runs in Power BI, ThoughtSpot, or Tableau.

Accounting Hub Journal Entry Line Extract
Sample build · illustrative
Filters
Period
FEB-26
Ledger
US Primary
Currency
USD
41,200
Journal lines
6
Source systems
99.4%
Transferred to GL
Source SystemEvent TypeAccountEntered DebitEntered CreditAccounted AmountAccounting Date
SampleStandard1000-2100-000$1,240,500.00$1,240,500.00$1,240,500.002026-04-30
Corporate1000-5400-000$842,150.75$842,150.75$842,150.752026-03-31
SampleStandard1000-1410-000$96,400.00$96,400.00$96,400.002026-02-28
Default2000-2100-000$1,005,233.10$1,005,233.10$1,005,233.102026-01-31
SampleStandard1000-6300-000$58,720.40$58,720.40$58,720.402025-12-31
SampleStandard1000-2100-000$1,240,500.00$1,240,500.00$1,240,500.002026-04-30
AI Analyst · active
reading

The extract reads XLA_AE_LINES with its headers and transaction entities, returning every accounted line the Accounting Hub generated from external sources, tagged by source system and event type.

flag

One source system's lines are accounted but not yet transferred to GL — its load finished after the daily Transfer to GL ran, so its entries lag a cycle.

root cause & next step

Sequence each source system's load before the GL transfer, or run an extra transfer after a late load; this is the usual cause of an Accounting-Hub-to-GL timing gap.

Illustrative data. The live interactive version — drill-through, filters, export, and the AI Analyst — runs on your warehouse. See it live →

This is the report's BI Publisher data model — the SQL data set BI Publisher runs against Oracle tables to produce the output. The same SQL becomes a dbt model in your warehouse, so one definition drives both the formatted report and the analytics layer.

Data sources

How it interconnects: this data set reads the physical tables above. Those same tables surface in OTBI as subject areas and in BICC as PVOs — three lenses on one source. Open any table to trace its subject areas and View Objects.
The SQL data set is authored to this report's exact spec during the build and ships as the BI Publisher data model plus a matching dbt model — one definition, both layers.

The data-warehouse model — one fact surrounded by conformed dimensions (what you slice by) and measures (what you aggregate), expressed as dbt so it migrates with you. Grain: one row per source transaction.

XLA_AE_LINESdimensionXLA_TRANSACTION_ENTITIESdimensionXLA_TRANSACTION_HEADERSdimensionXLA_SUBLEDGERSdimensionXLA_AE_HEADERSfact · one row per source transactionEntered Debit · Entered Credit · Ac…
●— fact → dimension join
ElementTypeDefinition
XLA_AE_LINESdimensiondimension
XLA_TRANSACTION_ENTITIESdimensiondimension
XLA_TRANSACTION_HEADERSdimensiondimension
XLA_SUBLEDGERSdimensiondimension
Entered Debitmeasuremeasure
Entered Creditmeasuremeasure
Accounted Amountmeasuremeasure
Runs on your cloud warehouse — Snowflake, BigQuery, Redshift, or Synapse on AWS, Google Cloud, Azure, or any provider. Reconciled to the source control total — 0% variance by design. You own the code, the model, and the data.
How the data gets here: a BICC bulk extract of the source tables above, on the same pattern for every report. See the extraction pattern & data flow →
See the complete model
How this report's fact and dimensions fit the full picture, via conformed keys.
Fusion Accounting Hub data model →Enterprise model →

Every source object behind this report. Each linked table has its own page with full column descriptions, drawn from the Oracle BICC lineage and articulated for practitioners.

TableReporting columnsSubject areas
XLA_AE_HEADERS1619
XLA_AE_LINES2317
XLA_TRANSACTION_ENTITIES23
XLA_TRANSACTION_HEADERSSetup / configuration table — joined for reference, not exposed for analytics
XLA_SUBLEDGERSSetup / configuration table — joined for reference, not exposed for analytics
GL_LEDGERS10104
GL_CODE_COMBINATIONS761
Reporting columns = fields the report selects that are exposed as analytics attributes; subject areas = the OTBI subject areas the table appears in. Setup and configuration tables (master data, ledger and book setup, lookups) are referenced by the report's joins but aren't exposed as analytics columns or subject areas — that's expected, not a gap.