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SRA_FINANCIAL_RUNTRK

Records details of the settlement process for the cancellation and purchase of SRA Auction Units

Column Schema

SRA_QUARTER

Relevant Quarter of the Tranche

SQL Type: NUMBER(3) Polars Type: pl.Int16

This column is mandatory, and a primary key.

Examples: 1, 4

SRA_RUNNO

SRA Run Number

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

This column is mandatory, and a primary key.

Example: 2

SRA_YEAR

Year of the Tranche

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

This column is mandatory, and a primary key.

Examples: 2022, 2026

INTEREST_VERSIONNO

Version number of the interest component used in the payments run

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

This column is not mandatory.

LASTCHANGED

The date and time this record was last modified

For more information, see the dedicated documentation page.

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

This column is not mandatory.

Example: 2022/01/19 11:00:01

MAKEUP_VERSIONNO

Version number of the makeup component used in the makeup run

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

This column is not mandatory.

POSTEDDATE

The date/time the run was posted

Warning

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

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

This column is not mandatory.

Example: 2022/01/19 11:42:40

RUNDATE

The date and time the run was triggered

Warning

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

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

This column is not mandatory.

Example: 2022/01/19 11:00:01

RUNTYPE

The type of SRA run

SQL Type: VARCHAR2(20) Polars Type: pl.Categorical

This column is not mandatory.

Example: RECEIPTS

New Data Timing

On successful posting of an SRA financials 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", "POSTEDDATE", "RUNDATE").str.strptime(
            pl.Datetime, dt_s_fmt
        ),
    )
    .cast(
        {
            "SRA_QUARTER": int,  # or pl.Int16
            "SRA_RUNNO": int,  # or pl.UInt16
            "SRA_YEAR": int,  # or pl.UInt16
            "INTEREST_VERSIONNO": int,  # or pl.UInt16
            "MAKEUP_VERSIONNO": int,  # or pl.UInt16
            "RUNTYPE": pl.Categorical,
        }
    )
    # Deduplicate
    # We want one row per ['SRA_QUARTER', 'SRA_RUNNO', 'SRA_YEAR']
    # Tie-breaker: greatest value of LASTCHANGED
    .sort(LASTCHANGED, descending=False)
    .unique(subset=["SRA_QUARTER", "SRA_RUNNO", "SRA_YEAR"], keep="last")
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_SRA_FINANCIAL_RUNTRK_FILE01_202609010000.zip

SRA_YEARSRA_QUARTERSRA_RUNNORUNTYPERUNDATEPOSTEDDATEINTEREST_VERSIONNOMAKEUP_VERSIONNOLASTCHANGED
202222RECEIPTS2022/04/20 11:00:022022/04/20 11:20:212022/04/20 11:00:02
202242RECEIPTS2022/10/18 11:00:022022/10/18 11:30:092022/10/18 11:00:02
202522RECEIPTS2025/04/16 11:00:012025/04/16 11:18:062025/04/16 11:00:01
202612RECEIPTS2026/01/19 11:00:012026/01/19 11:11:022026/01/19 11:00:01
202442RECEIPTS2024/10/16 11:00:012024/10/16 11:42:552024/10/16 11:00:01
202432RECEIPTS2024/07/16 11:00:012024/07/16 11:26:442024/07/16 11:00:01
202412RECEIPTS2024/01/17 11:00:012024/01/17 11:34:252024/01/17 11:00:01
202512RECEIPTS2025/01/17 11:00:012025/01/17 11:41:482025/01/17 11:00:01
202532RECEIPTS2025/07/16 11:00:012025/07/16 12:03:182025/07/16 11:00:01
202542RECEIPTS2025/10/16 11:00:062025/10/16 11:12:022025/10/16 11:00:06
202312RECEIPTS2023/01/18 11:00:012023/01/18 11:21:582023/01/18 11:00:01
...

CSETP.WORLDDVD_SRA_FINANCIAL_RUNTRKAEMOPUBLIC2026/10/0916:34:10001791527650064MONTHLY_ARCHIVE001791527650064
IIRAUCTIONSRA_FINANCIAL_RUNTRK1SRA_YEARSRA_QUARTERSRA_RUNNORUNTYPERUNDATEPOSTEDDATEINTEREST_VERSIONNOMAKEUP_VERSIONNOLASTCHANGED
DIRAUCTIONSRA_FINANCIAL_RUNTRK1202222RECEIPTS2022/04/20 11:00:022022/04/20 11:20:212022/04/20 11:00:02
DIRAUCTIONSRA_FINANCIAL_RUNTRK1202242RECEIPTS2022/10/18 11:00:022022/10/18 11:30:092022/10/18 11:00:02
DIRAUCTIONSRA_FINANCIAL_RUNTRK1202522RECEIPTS2025/04/16 11:00:012025/04/16 11:18:062025/04/16 11:00:01
DIRAUCTIONSRA_FINANCIAL_RUNTRK1202612RECEIPTS2026/01/19 11:00:012026/01/19 11:11:022026/01/19 11:00:01
DIRAUCTIONSRA_FINANCIAL_RUNTRK1202442RECEIPTS2024/10/16 11:00:012024/10/16 11:42:552024/10/16 11:00:01
DIRAUCTIONSRA_FINANCIAL_RUNTRK1202432RECEIPTS2024/07/16 11:00:012024/07/16 11:26:442024/07/16 11:00:01
DIRAUCTIONSRA_FINANCIAL_RUNTRK1202412RECEIPTS2024/01/17 11:00:012024/01/17 11:34:252024/01/17 11:00:01
DIRAUCTIONSRA_FINANCIAL_RUNTRK1202512RECEIPTS2025/01/17 11:00:012025/01/17 11:41:482025/01/17 11:00:01
DIRAUCTIONSRA_FINANCIAL_RUNTRK1202532RECEIPTS2025/07/16 11:00:012025/07/16 12:03:182025/07/16 11:00:01
DIRAUCTIONSRA_FINANCIAL_RUNTRK1202542RECEIPTS2025/10/16 11:00:062025/10/16 11:12:022025/10/16 11:00:06
DIRAUCTIONSRA_FINANCIAL_RUNTRK1202312RECEIPTS2023/01/18 11:00:012023/01/18 11:21:582023/01/18 11:00:01
...
CEND OF REPORT22

SRA_YEAR,SRA_QUARTER,SRA_RUNNO,RUNTYPE,RUNDATE,POSTEDDATE,INTEREST_VERSIONNO,MAKEUP_VERSIONNO,LASTCHANGED
2022,2,2,RECEIPTS,"2022/04/20 11:00:02","2022/04/20 11:20:21",,,"2022/04/20 11:00:02"
2022,4,2,RECEIPTS,"2022/10/18 11:00:02","2022/10/18 11:30:09",,,"2022/10/18 11:00:02"
2025,2,2,RECEIPTS,"2025/04/16 11:00:01","2025/04/16 11:18:06",,,"2025/04/16 11:00:01"
2026,1,2,RECEIPTS,"2026/01/19 11:00:01","2026/01/19 11:11:02",,,"2026/01/19 11:00:01"
2024,4,2,RECEIPTS,"2024/10/16 11:00:01","2024/10/16 11:42:55",,,"2024/10/16 11:00:01"
2024,3,2,RECEIPTS,"2024/07/16 11:00:01","2024/07/16 11:26:44",,,"2024/07/16 11:00:01"
2024,1,2,RECEIPTS,"2024/01/17 11:00:01","2024/01/17 11:34:25",,,"2024/01/17 11:00:01"
2025,1,2,RECEIPTS,"2025/01/17 11:00:01","2025/01/17 11:41:48",,,"2025/01/17 11:00:01"
2025,3,2,RECEIPTS,"2025/07/16 11:00:01","2025/07/16 12:03:18",,,"2025/07/16 11:00:01"
2025,4,2,RECEIPTS,"2025/10/16 11:00:06","2025/10/16 11:12:02",,,"2025/10/16 11:00:06"
2023,1,2,RECEIPTS,"2023/01/18 11:00:01","2023/01/18 11:21:58",,,"2023/01/18 11:00:01"
...

C,SETP.WORLD,DVD_SRA_FINANCIAL_RUNTRK,AEMO,PUBLIC,2026/10/09,16:34:10,001791527650064,MONTHLY_ARCHIVE,001791527650064
I,IRAUCTION,SRA_FINANCIAL_RUNTRK,1,SRA_YEAR,SRA_QUARTER,SRA_RUNNO,RUNTYPE,RUNDATE,POSTEDDATE,INTEREST_VERSIONNO,MAKEUP_VERSIONNO,LASTCHANGED
D,IRAUCTION,SRA_FINANCIAL_RUNTRK,1,2022,2,2,RECEIPTS,"2022/04/20 11:00:02","2022/04/20 11:20:21",,,"2022/04/20 11:00:02"
D,IRAUCTION,SRA_FINANCIAL_RUNTRK,1,2022,4,2,RECEIPTS,"2022/10/18 11:00:02","2022/10/18 11:30:09",,,"2022/10/18 11:00:02"
D,IRAUCTION,SRA_FINANCIAL_RUNTRK,1,2025,2,2,RECEIPTS,"2025/04/16 11:00:01","2025/04/16 11:18:06",,,"2025/04/16 11:00:01"
D,IRAUCTION,SRA_FINANCIAL_RUNTRK,1,2026,1,2,RECEIPTS,"2026/01/19 11:00:01","2026/01/19 11:11:02",,,"2026/01/19 11:00:01"
D,IRAUCTION,SRA_FINANCIAL_RUNTRK,1,2024,4,2,RECEIPTS,"2024/10/16 11:00:01","2024/10/16 11:42:55",,,"2024/10/16 11:00:01"
D,IRAUCTION,SRA_FINANCIAL_RUNTRK,1,2024,3,2,RECEIPTS,"2024/07/16 11:00:01","2024/07/16 11:26:44",,,"2024/07/16 11:00:01"
D,IRAUCTION,SRA_FINANCIAL_RUNTRK,1,2024,1,2,RECEIPTS,"2024/01/17 11:00:01","2024/01/17 11:34:25",,,"2024/01/17 11:00:01"
D,IRAUCTION,SRA_FINANCIAL_RUNTRK,1,2025,1,2,RECEIPTS,"2025/01/17 11:00:01","2025/01/17 11:41:48",,,"2025/01/17 11:00:01"
D,IRAUCTION,SRA_FINANCIAL_RUNTRK,1,2025,3,2,RECEIPTS,"2025/07/16 11:00:01","2025/07/16 12:03:18",,,"2025/07/16 11:00:01"
D,IRAUCTION,SRA_FINANCIAL_RUNTRK,1,2025,4,2,RECEIPTS,"2025/10/16 11:00:06","2025/10/16 11:12:02",,,"2025/10/16 11:00:06"
D,IRAUCTION,SRA_FINANCIAL_RUNTRK,1,2023,1,2,RECEIPTS,"2023/01/18 11:00:01","2023/01/18 11:21:58",,,"2023/01/18 11:00:01"
...
C,"END OF REPORT",22

Availability

Visibility: Public

This table is in the public monthly MMSDM archive.

I have collated the list of all those files into one place, in this CSV metadata file. (Columns year, month, url, compressed_size in bytes).

The earliest available data is month 8 of 2024. The most recent available data is month 9 of 2026.

Every month in between has a file. (No gaps.)

Data Size

Each year of data is approximately 9 KB when zipped, 94 KB as unzipped CSV.

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
IRAUCTION SRA_FINANCIAL_RUNTRK 1

This means that the CSV files start with metadata columns:

I,IRAUCTION,SRA_FINANCIAL_RUNTRK,1,...
D,IRAUCTION,SRA_FINANCIAL_RUNTRK,1,...

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