RESIDUEFILETRK

RESIDUEFILETRK records all Settlement Residue Auction offers submitted by participants.

RESIDUEFILETRK data is confidential to each participant

Source

RESIDUEFILETRK updates are ad hoc from participants

Volume

Assuming quarterly contracts RESIDUEFILETRK contains a maximum of 5,000 records per annum.

Each bid file can contain many bids for each auction. Participants can input multiple bids (with the last acknowledged file being used in the auction).

Column Schema

AUCTIONID

Unique id for each auction date. (new in March 2003 to support SRA Inter-Temporal Linking)

SQL Type: VARCHAR2(30) Polars Type: str

This column is mandatory, and a primary key.

LOADDATE

Date-Time SRA offer was loaded

Warning

Despite what the name suggests, this is a datetime, not a date.

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

This column is mandatory, and a primary key.

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

PARTICIPANTID

Participant Identifier

For more information, see the dedicated documentation page.

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

This column is mandatory, and a primary key.

ACKFILENAME

SRA acknowledgment file name

SQL Type: VARCHAR2(40) Polars Type: str

This column is not mandatory.

CONTRACTID

SRA ContractID

SQL Type: VARCHAR2(30) Polars Type: pl.Categorical

This column is not mandatory.

FILENAME

SRA offer file name

SQL Type: VARCHAR2(40) Polars Type: str

This column is not mandatory.

LASTCHANGED

Last date and time record changed

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

STATUS

Load status [SUCCESSFUL/CORRUPT]

The SQL type is VARCHAR2(10). This is actually a factor/enum, with values:

• SUCCESSFUL

• CORRUPT

This column is not mandatory.

New Data Timing

Ad hoc

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("LOADDATE", "LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
    )
    .cast(
        {
            "AUCTIONID": str,
            "PARTICIPANTID": pl.Categorical,
            "ACKFILENAME": str,
            "CONTRACTID": pl.Categorical,
            "FILENAME": str,
            "STATUS": pl.Enum(["SUCCESSFUL", "CORRUPT"]),
        }
    )
    # Deduplicate
    # We want one row per ['AUCTIONID', 'LOADDATE', 'PARTICIPANTID']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(subset=["AUCTIONID", "LOADDATE", "PARTICIPANTID"], 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:

• AUCTIONID

• LOADDATE

• PARTICIPANTID

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
IRAUCTION_BIDS	FILE_TRK	1

This means that the CSV files start with metadata columns:

I,IRAUCTION_BIDS,FILE_TRK,1,...
D,IRAUCTION_BIDS,FILE_TRK,1,...

Indexes

• LASTCHANGED

Links

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: IRAUCTION

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