MCC_CASESOLUTION

Top level table for each MCC dispatch rerun process. Note there will be one record for each dispatch interval

Column Schema

RUN_DATETIME

5-minute Dispatch Run identifier

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

This column is mandatory, and a primary key.

Example: 2026/09/01 00:05:00

New Data Timing

Each dispatch 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("RUN_DATETIME").str.strptime(pl.Datetime, dt_s_fmt),
    )
    # Deduplicate
    # We want one row per ['RUN_DATETIME']
    .unique(subset=["RUN_DATETIME"], keep="any")
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_MCC_CASESOLUTION_FILE01_202609010000.zip

Table without MetadataTable with MetadataRaw Text without Metadata

RUN_DATETIME

2026/09/01 00:05:00

2026/09/01 00:10:00

2026/09/01 00:15:00

2026/09/01 00:20:00

2026/09/01 00:25:00

2026/09/01 00:30:00

2026/09/01 00:35:00

2026/09/01 00:40:00

2026/09/01 00:45:00

2026/09/01 00:50:00

2026/09/01 00:55:00

...

C	SETP.WORLD	DVD_MCC_CASESOLUTION	AEMO	PUBLIC	2026/10/09	15:53:31	001791525211062	MONTHLY_ARCHIVE	001791525211062
I	MCC	CASESOLUTION	1	RUN_DATETIME
D	MCC	CASESOLUTION	1	2026/09/01 00:05:00
D	MCC	CASESOLUTION	1	2026/09/01 00:10:00
D	MCC	CASESOLUTION	1	2026/09/01 00:15:00
D	MCC	CASESOLUTION	1	2026/09/01 00:20:00
D	MCC	CASESOLUTION	1	2026/09/01 00:25:00
D	MCC	CASESOLUTION	1	2026/09/01 00:30:00
D	MCC	CASESOLUTION	1	2026/09/01 00:35:00
D	MCC	CASESOLUTION	1	2026/09/01 00:40:00
D	MCC	CASESOLUTION	1	2026/09/01 00:45:00
D	MCC	CASESOLUTION	1	2026/09/01 00:50:00
D	MCC	CASESOLUTION	1	2026/09/01 00:55:00
...
C	END OF REPORT	1003

RUN_DATETIME
"2026/09/01 00:05:00"
"2026/09/01 00:10:00"
"2026/09/01 00:15:00"
"2026/09/01 00:20:00"
"2026/09/01 00:25:00"
"2026/09/01 00:30:00"
"2026/09/01 00:35:00"
"2026/09/01 00:40:00"
"2026/09/01 00:45:00"
"2026/09/01 00:50:00"
"2026/09/01 00:55:00"
...

Raw Text with Metadata

C,SETP.WORLD,DVD_MCC_CASESOLUTION,AEMO,PUBLIC,2026/10/09,15:53:31,001791525211062,MONTHLY_ARCHIVE,001791525211062
I,MCC,CASESOLUTION,1,RUN_DATETIME
D,MCC,CASESOLUTION,1,"2026/09/01 00:05:00"
D,MCC,CASESOLUTION,1,"2026/09/01 00:10:00"
D,MCC,CASESOLUTION,1,"2026/09/01 00:15:00"
D,MCC,CASESOLUTION,1,"2026/09/01 00:20:00"
D,MCC,CASESOLUTION,1,"2026/09/01 00:25:00"
D,MCC,CASESOLUTION,1,"2026/09/01 00:30:00"
D,MCC,CASESOLUTION,1,"2026/09/01 00:35:00"
D,MCC,CASESOLUTION,1,"2026/09/01 00:40:00"
D,MCC,CASESOLUTION,1,"2026/09/01 00:45:00"
D,MCC,CASESOLUTION,1,"2026/09/01 00:50:00"
D,MCC,CASESOLUTION,1,"2026/09/01 00:55:00"
...
C,"END OF REPORT",1003

Availability

Visibility: Private & Public Next-Day

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 1 of 2015. 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 286 KB when zipped, 3 MB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

• RUN_DATETIME

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
MCC	CASESOLUTION	1

This means that the CSV files start with metadata columns:

I,MCC,CASESOLUTION,1,...
D,MCC,CASESOLUTION,1,...

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: MCC_DISPATCH

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