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MARKET_SUSPEND_SCHEDULE_TRK

Parent table for pricing regimes used in suspensions

Column Schema

EFFECTIVEDATE

Calendar date from when this record set is effective

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

This column is mandatory, and a primary key.

Example: 2017/12/25 00:00:00

Note that AEMO represents dates as datetimes with a midnight time component.

AUTHORISEDDATE

DateTime this record set 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 not mandatory.

Example: 2017/12/18 11:49:38

COMMENTS

Reason why this regime was applied

SQL Type: VARCHAR2(1000) 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: 2017/12/18 11:49:38

SOURCE_END_DATE

End Date of the date range for the source data

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

This column is not mandatory.

Example: 2017/12/10 00:00:00

Note that AEMO represents dates as datetimes with a midnight time component.

SOURCE_START_DATE

Start Date of the date range for the source data

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

This column is not mandatory.

Example: 2017/11/12 00:00:00

Note that AEMO represents dates as datetimes with a midnight time component.

New Data Timing

Market suspension

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"

# Dates are represented as datetimes at midnight

d_fmt = "%Y/%m/%d 00:00:00"

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("AUTHORISEDDATE", "LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
        pl.col("EFFECTIVEDATE", "SOURCE_END_DATE", "SOURCE_START_DATE").str.strptime(
            pl.Date, d_fmt
        ),
    )
    .cast(
        {
            "EFFECTIVEDATE": pl.Date(),
            "COMMENTS": str,
            "SOURCE_END_DATE": pl.Date(),
            "SOURCE_START_DATE": pl.Date(),
        }
    )
    # Deduplicate
    # We want one row per ['EFFECTIVEDATE']
    # Tie-breaker: greatest value of LASTCHANGED
    .sort(LASTCHANGED, descending=False)
    .unique(subset=["EFFECTIVEDATE"], keep="last")
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_MARKET_SUSPEND_SCHEDULE_TRK_FILE01_202609010000.zip

EFFECTIVEDATESOURCE_START_DATESOURCE_END_DATECOMMENTSAUTHORISEDDATELASTCHANGED
2018/01/08 00:00:002017/11/26 00:00:002017/12/24 00:00:002018/01/05 16:03:582018/01/05 16:03:58
2018/02/12 00:00:002017/12/31 00:00:002018/01/28 00:00:002018/01/27 23:55:072018/01/27 23:55:07
2018/02/26 00:00:002018/01/14 00:00:002018/02/11 00:00:002018/02/10 23:55:072018/02/10 23:55:07
2017/12/25 00:00:002017/11/12 00:00:002017/12/10 00:00:002017/12/18 11:49:382017/12/18 11:49:38
2018/01/15 00:00:002017/12/03 00:00:002017/12/31 00:00:002018/01/05 15:55:332018/01/05 15:55:33
2018/01/01 00:00:002017/11/19 00:00:002017/12/17 00:00:002017/12/18 11:50:402017/12/18 11:50:40
2018/01/22 00:00:002017/12/10 00:00:002018/01/07 00:00:002018/01/07 09:48:322018/01/07 09:48:32
2018/01/29 00:00:002017/12/17 00:00:002018/01/14 00:00:002018/01/14 08:19:172018/01/14 08:19:17
2018/02/05 00:00:002017/12/24 00:00:002018/01/21 00:00:002018/01/20 23:55:072018/01/20 23:55:07
2018/02/19 00:00:002018/01/07 00:00:002018/02/04 00:00:002018/02/03 23:55:102018/02/03 23:55:10
2021/08/16 00:00:002021/07/04 00:00:002021/08/01 00:00:002021/07/31 23:55:082021/07/31 23:55:08
...

CSETP.WORLDDVD_MARKET_SUSPEND_SCHEDULE_TRKAEMOPUBLIC2026/10/0915:53:25001791525205232MONTHLY_ARCHIVE001791525205232
IFORCE_MAJEUREMARKET_SUSPEND_SCHEDULE_TRK1EFFECTIVEDATESOURCE_START_DATESOURCE_END_DATECOMMENTSAUTHORISEDDATELASTCHANGED
DFORCE_MAJEUREMARKET_SUSPEND_SCHEDULE_TRK12018/01/08 00:00:002017/11/26 00:00:002017/12/24 00:00:002018/01/05 16:03:582018/01/05 16:03:58
DFORCE_MAJEUREMARKET_SUSPEND_SCHEDULE_TRK12018/02/12 00:00:002017/12/31 00:00:002018/01/28 00:00:002018/01/27 23:55:072018/01/27 23:55:07
DFORCE_MAJEUREMARKET_SUSPEND_SCHEDULE_TRK12018/02/26 00:00:002018/01/14 00:00:002018/02/11 00:00:002018/02/10 23:55:072018/02/10 23:55:07
DFORCE_MAJEUREMARKET_SUSPEND_SCHEDULE_TRK12017/12/25 00:00:002017/11/12 00:00:002017/12/10 00:00:002017/12/18 11:49:382017/12/18 11:49:38
DFORCE_MAJEUREMARKET_SUSPEND_SCHEDULE_TRK12018/01/15 00:00:002017/12/03 00:00:002017/12/31 00:00:002018/01/05 15:55:332018/01/05 15:55:33
DFORCE_MAJEUREMARKET_SUSPEND_SCHEDULE_TRK12018/01/01 00:00:002017/11/19 00:00:002017/12/17 00:00:002017/12/18 11:50:402017/12/18 11:50:40
DFORCE_MAJEUREMARKET_SUSPEND_SCHEDULE_TRK12018/01/22 00:00:002017/12/10 00:00:002018/01/07 00:00:002018/01/07 09:48:322018/01/07 09:48:32
DFORCE_MAJEUREMARKET_SUSPEND_SCHEDULE_TRK12018/01/29 00:00:002017/12/17 00:00:002018/01/14 00:00:002018/01/14 08:19:172018/01/14 08:19:17
DFORCE_MAJEUREMARKET_SUSPEND_SCHEDULE_TRK12018/02/05 00:00:002017/12/24 00:00:002018/01/21 00:00:002018/01/20 23:55:072018/01/20 23:55:07
DFORCE_MAJEUREMARKET_SUSPEND_SCHEDULE_TRK12018/02/19 00:00:002018/01/07 00:00:002018/02/04 00:00:002018/02/03 23:55:102018/02/03 23:55:10
DFORCE_MAJEUREMARKET_SUSPEND_SCHEDULE_TRK12021/08/16 00:00:002021/07/04 00:00:002021/08/01 00:00:002021/07/31 23:55:082021/07/31 23:55:08
...
CEND OF REPORT464

EFFECTIVEDATE,SOURCE_START_DATE,SOURCE_END_DATE,COMMENTS,AUTHORISEDDATE,LASTCHANGED
"2018/01/08 00:00:00","2017/11/26 00:00:00","2017/12/24 00:00:00",,"2018/01/05 16:03:58","2018/01/05 16:03:58"
"2018/02/12 00:00:00","2017/12/31 00:00:00","2018/01/28 00:00:00",,"2018/01/27 23:55:07","2018/01/27 23:55:07"
"2018/02/26 00:00:00","2018/01/14 00:00:00","2018/02/11 00:00:00",,"2018/02/10 23:55:07","2018/02/10 23:55:07"
"2017/12/25 00:00:00","2017/11/12 00:00:00","2017/12/10 00:00:00",,"2017/12/18 11:49:38","2017/12/18 11:49:38"
"2018/01/15 00:00:00","2017/12/03 00:00:00","2017/12/31 00:00:00",,"2018/01/05 15:55:33","2018/01/05 15:55:33"
"2018/01/01 00:00:00","2017/11/19 00:00:00","2017/12/17 00:00:00",,"2017/12/18 11:50:40","2017/12/18 11:50:40"
"2018/01/22 00:00:00","2017/12/10 00:00:00","2018/01/07 00:00:00",,"2018/01/07 09:48:32","2018/01/07 09:48:32"
"2018/01/29 00:00:00","2017/12/17 00:00:00","2018/01/14 00:00:00",,"2018/01/14 08:19:17","2018/01/14 08:19:17"
"2018/02/05 00:00:00","2017/12/24 00:00:00","2018/01/21 00:00:00",,"2018/01/20 23:55:07","2018/01/20 23:55:07"
"2018/02/19 00:00:00","2018/01/07 00:00:00","2018/02/04 00:00:00",,"2018/02/03 23:55:10","2018/02/03 23:55:10"
"2021/08/16 00:00:00","2021/07/04 00:00:00","2021/08/01 00:00:00",,"2021/07/31 23:55:08","2021/07/31 23:55:08"
...

C,SETP.WORLD,DVD_MARKET_SUSPEND_SCHEDULE_TRK,AEMO,PUBLIC,2026/10/09,15:53:25,001791525205232,MONTHLY_ARCHIVE,001791525205232
I,FORCE_MAJEURE,MARKET_SUSPEND_SCHEDULE_TRK,1,EFFECTIVEDATE,SOURCE_START_DATE,SOURCE_END_DATE,COMMENTS,AUTHORISEDDATE,LASTCHANGED
D,FORCE_MAJEURE,MARKET_SUSPEND_SCHEDULE_TRK,1,"2018/01/08 00:00:00","2017/11/26 00:00:00","2017/12/24 00:00:00",,"2018/01/05 16:03:58","2018/01/05 16:03:58"
D,FORCE_MAJEURE,MARKET_SUSPEND_SCHEDULE_TRK,1,"2018/02/12 00:00:00","2017/12/31 00:00:00","2018/01/28 00:00:00",,"2018/01/27 23:55:07","2018/01/27 23:55:07"
D,FORCE_MAJEURE,MARKET_SUSPEND_SCHEDULE_TRK,1,"2018/02/26 00:00:00","2018/01/14 00:00:00","2018/02/11 00:00:00",,"2018/02/10 23:55:07","2018/02/10 23:55:07"
D,FORCE_MAJEURE,MARKET_SUSPEND_SCHEDULE_TRK,1,"2017/12/25 00:00:00","2017/11/12 00:00:00","2017/12/10 00:00:00",,"2017/12/18 11:49:38","2017/12/18 11:49:38"
D,FORCE_MAJEURE,MARKET_SUSPEND_SCHEDULE_TRK,1,"2018/01/15 00:00:00","2017/12/03 00:00:00","2017/12/31 00:00:00",,"2018/01/05 15:55:33","2018/01/05 15:55:33"
D,FORCE_MAJEURE,MARKET_SUSPEND_SCHEDULE_TRK,1,"2018/01/01 00:00:00","2017/11/19 00:00:00","2017/12/17 00:00:00",,"2017/12/18 11:50:40","2017/12/18 11:50:40"
D,FORCE_MAJEURE,MARKET_SUSPEND_SCHEDULE_TRK,1,"2018/01/22 00:00:00","2017/12/10 00:00:00","2018/01/07 00:00:00",,"2018/01/07 09:48:32","2018/01/07 09:48:32"
D,FORCE_MAJEURE,MARKET_SUSPEND_SCHEDULE_TRK,1,"2018/01/29 00:00:00","2017/12/17 00:00:00","2018/01/14 00:00:00",,"2018/01/14 08:19:17","2018/01/14 08:19:17"
D,FORCE_MAJEURE,MARKET_SUSPEND_SCHEDULE_TRK,1,"2018/02/05 00:00:00","2017/12/24 00:00:00","2018/01/21 00:00:00",,"2018/01/20 23:55:07","2018/01/20 23:55:07"
D,FORCE_MAJEURE,MARKET_SUSPEND_SCHEDULE_TRK,1,"2018/02/19 00:00:00","2018/01/07 00:00:00","2018/02/04 00:00:00",,"2018/02/03 23:55:10","2018/02/03 23:55:10"
D,FORCE_MAJEURE,MARKET_SUSPEND_SCHEDULE_TRK,1,"2021/08/16 00:00:00","2021/07/04 00:00:00","2021/08/01 00:00:00",,"2021/07/31 23:55:08","2021/07/31 23:55:08"
...
C,"END OF REPORT",464

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 105 KB when zipped, 1 MB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

The transaction type is "INSERT-UPDATE", which means that you will likely see duplicate data with different values.

You should deduplicate by sorting based on LASTCHANGED, within each group of primary keys.

PDR Loader configuration is:

Report Name Report Subtype Version
FORCE_MAJEURE MARKET_SUSPEND_SCHEDULE_TRK 1

This means that the CSV files start with metadata columns:

I,FORCE_MAJEURE,MARKET_SUSPEND_SCHEDULE_TRK,1,...
D,FORCE_MAJEURE,MARKET_SUSPEND_SCHEDULE_TRK,1,...

ROW_FILTER_TYPE is LASTCHANGED

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: FORCE_MAJEURE