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METERDATA_SAPS

The SAPS Meter data for MSRP and Retailer used in the Settlement Calculation

Column Schema

CASE_ID

The Metering Case ID used for Settlements

SQL Type: NUMBER(15,0) Polars Type: pl.Int64

This column is mandatory, and a primary key.

CONNECTIONPOINT_ID

The SAPS Connection Point Id

SQL Type: VARCHAR2(20) Polars Type: str

This column is mandatory, and a primary key.

FRMP

The Financial Responsible Market Participant

SQL Type: VARCHAR2(20) Polars Type: str

This column is mandatory, and a primary key.

LR

The Local Retailer

SQL Type: VARCHAR2(20) Polars Type: str

This column is mandatory, and a primary key.

METER_TYPE

The Meter Type Identifier , CUSTOMER or MSRP

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

This column is mandatory, and a primary key.

PERIODID

The Period ID Identifier

SQL Type: NUMBER(4,0) Polars Type: pl.Int16

This column is mandatory, and a primary key.

SETTLEMENTDATE

The Settlement Date for that Week

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

EXPORTVALUE

The Consumed Energy in MWh

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

IMPORTVALUE

The Sent Out Energy in MWh

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

LASTCHANGED

The Date time of the record last updated or inserted.

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

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("SETTLEMENTDATE", "LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
    )
    .cast(
        {
            "CASE_ID": int,  # or pl.Int64
            "CONNECTIONPOINT_ID": str,
            "FRMP": str,
            "LR": str,
            "METER_TYPE": pl.Categorical,
            "PERIODID": int,  # or pl.Int16
            "EXPORTVALUE": pl.Float64,
            "IMPORTVALUE": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['CASE_ID', 'CONNECTIONPOINT_ID', 'FRMP', 'LR', 'METER_TYPE', 'PERIODID', 'SETTLEMENTDATE']
    # Tie-breaker: greatest value of LASTCHANGED
    .sort(LASTCHANGED, descending=False)
    .unique(
        subset=[
            "CASE_ID",
            "CONNECTIONPOINT_ID",
            "FRMP",
            "LR",
            "METER_TYPE",
            "PERIODID",
            "SETTLEMENTDATE",
        ],
        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
METERDATA METERDATA_SAPS 1

This means that the CSV files start with metadata columns:

I,METERDATA,METERDATA_SAPS,1,...
D,METERDATA,METERDATA_SAPS,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: METER_DATA