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BILLINGREALLOC_DETAIL

Billing Reallocation Data aggregated by REALLOCATIONID for each billing run over the billing week.

The BILLINGREALLOC_DETAIL table that will give a breakdown of the reallocations that form part of that billing run. This assists participants in their settlement reconciliation process.

Private data

Volume max 100 rows per day

Column Schema

BILLRUNNO

BILLING RUN NO

SQL Type: NUMBER(3,0) Polars Type: pl.UInt16

This column is mandatory, and a primary key.

CONTRACTYEAR

BILLING CONTRACTYEAR

SQL Type: NUMBER(4,0) Polars Type: pl.UInt16

This column is mandatory, and a primary key.

COUNTERPARTY

REALLOCATION COUNTERPARTY PARTICIPANTID

SQL Type: VARCHAR2(10) Polars Type: str

This column is mandatory, and a primary key.

PARTICIPANTID

REALLOCATION PARTICIPANTID

For more information, see the dedicated documentation page.

SQL Type: VARCHAR2(10) Polars Type: pl.Categorical

This column is mandatory, and a primary key.

REALLOCATIONID

REALLOCATIONID

SQL Type: VARCHAR2(20) Polars Type: str

This column is mandatory, and a primary key.

WEEKNO

BILLING WEEKNO

Warning

There may be 53 weeks in a year, depending on how weeks align to the year start/end.

SQL Type: NUMBER(3,0) Polars Type: pl.UInt16

This column is mandatory, and a primary key.

LASTCHANGED

DATETIME WHEN RECORD SAVED

For more information, see the dedicated documentation page.

SQL Type: DATE Polars Type: pl.Datetime()

This column is not mandatory.

Example: 2026/01/20 00:05:00

VALUE

REALLOCATION VALUE

SQL Type: NUMBER(15,5) Polars Type: pl.Float64

This column is not mandatory.

New Data Timing

Posting of a billing run

Code Examples

Polars

Casting is enums, categoricals etc is not essential, but may speed up parsing. Swapping int for pl.UInt16, pl.Int32 would also speed up parsing. However some of the datatypes are inferred, so they may be wrong.

This code deduplicates for you. Deduplication is normally only required across multiple months.

This code assumes that all columns are present, which may not be true for older files.

import polars as pl
import polars.selectors as cs

# e.g. "2029/03/15 00:05:00"
dt_s_fmt = "%Y/%m/%d %H:%M:%S"

csv_paths = ["SOMEFILE.CSV", "OTHERFILE.CSV"]

lf = (
    pl.concat(
        [
            pl.scan_csv(
                csv_path,  # must be unzipped beforehand
                skip_rows=1,  # skip the header
                infer_schema=False,  # much faster
            )
            .filter(cs.by_index(0) == "D")  # drop the footer
            .select(~cs.by_index(range(4)))  # drop metadata columns
            for csv_path in csv_paths
        ],
        how="diagonal_relaxed",
    )
    .with_columns(
        pl.col("LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
    )
    .cast(
        {
            "BILLRUNNO": int,  # or pl.UInt16
            "CONTRACTYEAR": int,  # or pl.UInt16
            "COUNTERPARTY": str,
            "PARTICIPANTID": pl.Categorical,
            "REALLOCATIONID": str,
            "WEEKNO": int,  # or pl.UInt16
            "VALUE": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['BILLRUNNO', 'CONTRACTYEAR', 'COUNTERPARTY', 'PARTICIPANTID', 'REALLOCATIONID', 'WEEKNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(
        subset=[
            "BILLRUNNO",
            "CONTRACTYEAR",
            "COUNTERPARTY",
            "PARTICIPANTID",
            "REALLOCATIONID",
            "WEEKNO",
        ],
        keep="last",
    )
)

Nemosis

This table is not yet available in Nemosis.

Availability

Visibility: Private

This table is not available in the public monthly MMSDM archive. Is is only available to registered market participants over FTP inside a VPN.

Deduplication and PDR Loader Configuration

The primary keys are:

The transaction type is "insert", which means that you will usually not see duplicate data. If you do, you can deduplicate based on the primary keys, without sorting first. Rows from different files with the same primary keys should have the same values.

PDR Loader configuration is:

Report Name Report Subtype Version
BILLING REALLOC_DETAIL 5

This means that the CSV files start with metadata columns:

I,BILLING,REALLOC_DETAIL,5,...
D,BILLING,REALLOC_DETAIL,5,...

Indexes

This page as JSON (schema documented here, but may change)

Download a JSON Schema specification for this table.

Official AEMO schema documentation

Other Information

Package: BILLING_RUN