AGGREGATE_DISPATCH_GROUP
Entity allowing for compliance monitoring over grouped DUIDs
Column Schema
ADG_ID
Aggregate Dispatch Group ID
SQL Type: VARCHAR2(20)
Polars Type: str
This column is mandatory, and a primary key.
Examples:
ADP_ADG1BALBESS_ADG1BBATTERY_ADG1BHBESS_ADG1BOLIVAR_ADG1BULGANA_ADG1CBESS_ADG1CBWW_ADG1CHBESS_ADG1DALNTH_ADG1
COMMENTS
A participant provided comment
SQL Type: VARCHAR2(100)
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: 2023/08/04 15:39:42
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").str.strptime(pl.Datetime, dt_s_fmt),
)
.cast({"ADG_ID": str, "COMMENTS": str})
# Deduplicate
# We want one row per ['ADG_ID']
# Tie-breaker: greatest value of LASTCHANGED
.sort(LASTCHANGED, descending=False)
.unique(subset=["ADG_ID"], keep="last")
)
Nemosis
This table is not yet available in Nemosis.
Example File
From PUBLIC_ARCHIVE_AGGREGATE_DISPATCH_GROUP_FILE01_202609010000.zip
| ADG_ID | COMMENTS | LASTCHANGED |
| QUORNPSH_ADG1 | 2026/01/16 14:23:31 | |
| BALBESS_ADG1 | 2023/08/04 15:39:42 | |
| BBATTERY_ADG1 | 2023/08/04 15:39:42 | |
| CBWW_ADG1 | 2023/08/04 15:39:42 | |
| DALNTH_ADG1 | 2023/08/04 15:39:42 | |
| DPNTBESS_ADG1 | 2023/08/04 15:39:42 | |
| GANNBESS_ADG1 | 2023/08/04 15:39:42 | |
| HORNSDPR_ADG1 | 2023/08/04 15:39:42 | |
| HVWW_ADG1 | 2023/08/04 15:39:42 | |
| LBBESS_ADG1 | 2023/08/04 15:39:42 | |
| QBYNBESS_ADG1 | 2023/08/04 15:39:42 | |
| ... |
| C | SETP.WORLD | DVD_AGGREGATE_DISPATCH_GROUP | AEMO | PUBLIC | 2026/10/09 | 16:51:45 | 001791528705321 | MONTHLY_ARCHIVE | 001791528705321 |
| I | PARTICIPANT_REGISTRATION | AGGREGATE_DISPATCH_GROUP | 1 | ADG_ID | COMMENTS | LASTCHANGED | |||
| D | PARTICIPANT_REGISTRATION | AGGREGATE_DISPATCH_GROUP | 1 | QUORNPSH_ADG1 | 2026/01/16 14:23:31 | ||||
| D | PARTICIPANT_REGISTRATION | AGGREGATE_DISPATCH_GROUP | 1 | BALBESS_ADG1 | 2023/08/04 15:39:42 | ||||
| D | PARTICIPANT_REGISTRATION | AGGREGATE_DISPATCH_GROUP | 1 | BBATTERY_ADG1 | 2023/08/04 15:39:42 | ||||
| D | PARTICIPANT_REGISTRATION | AGGREGATE_DISPATCH_GROUP | 1 | CBWW_ADG1 | 2023/08/04 15:39:42 | ||||
| D | PARTICIPANT_REGISTRATION | AGGREGATE_DISPATCH_GROUP | 1 | DALNTH_ADG1 | 2023/08/04 15:39:42 | ||||
| D | PARTICIPANT_REGISTRATION | AGGREGATE_DISPATCH_GROUP | 1 | DPNTBESS_ADG1 | 2023/08/04 15:39:42 | ||||
| D | PARTICIPANT_REGISTRATION | AGGREGATE_DISPATCH_GROUP | 1 | GANNBESS_ADG1 | 2023/08/04 15:39:42 | ||||
| D | PARTICIPANT_REGISTRATION | AGGREGATE_DISPATCH_GROUP | 1 | HORNSDPR_ADG1 | 2023/08/04 15:39:42 | ||||
| D | PARTICIPANT_REGISTRATION | AGGREGATE_DISPATCH_GROUP | 1 | HVWW_ADG1 | 2023/08/04 15:39:42 | ||||
| D | PARTICIPANT_REGISTRATION | AGGREGATE_DISPATCH_GROUP | 1 | LBBESS_ADG1 | 2023/08/04 15:39:42 | ||||
| D | PARTICIPANT_REGISTRATION | AGGREGATE_DISPATCH_GROUP | 1 | QBYNBESS_ADG1 | 2023/08/04 15:39:42 | ||||
| ... | |||||||||
| C | END OF REPORT | 32 |
ADG_ID,COMMENTS,LASTCHANGED
QUORNPSH_ADG1,,"2026/01/16 14:23:31"
BALBESS_ADG1,,"2023/08/04 15:39:42"
BBATTERY_ADG1,,"2023/08/04 15:39:42"
CBWW_ADG1,,"2023/08/04 15:39:42"
DALNTH_ADG1,,"2023/08/04 15:39:42"
DPNTBESS_ADG1,,"2023/08/04 15:39:42"
GANNBESS_ADG1,,"2023/08/04 15:39:42"
HORNSDPR_ADG1,,"2023/08/04 15:39:42"
HVWW_ADG1,,"2023/08/04 15:39:42"
LBBESS_ADG1,,"2023/08/04 15:39:42"
QBYNBESS_ADG1,,"2023/08/04 15:39:42"
...
C,SETP.WORLD,DVD_AGGREGATE_DISPATCH_GROUP,AEMO,PUBLIC,2026/10/09,16:51:45,001791528705321,MONTHLY_ARCHIVE,001791528705321
I,PARTICIPANT_REGISTRATION,AGGREGATE_DISPATCH_GROUP,1,ADG_ID,COMMENTS,LASTCHANGED
D,PARTICIPANT_REGISTRATION,AGGREGATE_DISPATCH_GROUP,1,QUORNPSH_ADG1,,"2026/01/16 14:23:31"
D,PARTICIPANT_REGISTRATION,AGGREGATE_DISPATCH_GROUP,1,BALBESS_ADG1,,"2023/08/04 15:39:42"
D,PARTICIPANT_REGISTRATION,AGGREGATE_DISPATCH_GROUP,1,BBATTERY_ADG1,,"2023/08/04 15:39:42"
D,PARTICIPANT_REGISTRATION,AGGREGATE_DISPATCH_GROUP,1,CBWW_ADG1,,"2023/08/04 15:39:42"
D,PARTICIPANT_REGISTRATION,AGGREGATE_DISPATCH_GROUP,1,DALNTH_ADG1,,"2023/08/04 15:39:42"
D,PARTICIPANT_REGISTRATION,AGGREGATE_DISPATCH_GROUP,1,DPNTBESS_ADG1,,"2023/08/04 15:39:42"
D,PARTICIPANT_REGISTRATION,AGGREGATE_DISPATCH_GROUP,1,GANNBESS_ADG1,,"2023/08/04 15:39:42"
D,PARTICIPANT_REGISTRATION,AGGREGATE_DISPATCH_GROUP,1,HORNSDPR_ADG1,,"2023/08/04 15:39:42"
D,PARTICIPANT_REGISTRATION,AGGREGATE_DISPATCH_GROUP,1,HVWW_ADG1,,"2023/08/04 15:39:42"
D,PARTICIPANT_REGISTRATION,AGGREGATE_DISPATCH_GROUP,1,LBBESS_ADG1,,"2023/08/04 15:39:42"
D,PARTICIPANT_REGISTRATION,AGGREGATE_DISPATCH_GROUP,1,QBYNBESS_ADG1,,"2023/08/04 15:39:42"
...
C,"END OF REPORT",32
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 8 KB when zipped, 76 KB 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.
| Report Name | Report Subtype | Version |
|---|---|---|
| PARTICIPANT_REGISTRATION | AGGREGATE_DISPATCH_GROUP | 1 |
This means that the CSV files start with metadata columns:
I,PARTICIPANT_REGISTRATION,AGGREGATE_DISPATCH_GROUP,1,...
D,PARTICIPANT_REGISTRATION,AGGREGATE_DISPATCH_GROUP,1,...
ROW_FILTER_TYPE is 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: PARTICIPANT_REGISTRATION