not logged in | [Login]


A common requirement is to report per-user or global data usage within defined periods, e.g. daily, weekly or monthly.

The standard FreeRADIUS schema for accounting data (the radacct table) is keyed by session identifier (acctuniqueid) with each row representing a single session, containing (amongst other session data) the session start time (acctstarttime), the time that the last interim update was received (acctupdatetime), the session stop time (acctstoptime; if it has finished), and the total inbound and outbound data usage received in the last interim-update or stop packet (acctinputoctets and acctoutputoctets, respectively).

This format ensures that the accounting data remains compact so that it can be updated in real time with optimal performance. However, this format has the caveat that it is not possible to retrospectively determine in which time period data was consumed for any session that spans multiple time periods.

CAUTION: There exists several guides for configuring FreeRADIUS to report periodic data usage by users. These typically amend the standard queries to write potentially large amounts of additional accounting data, or artificially limit the lifetime of sessions by splitting them so that the start of each reconnected session aligns with the start of the desired reporting interval and does not extend significantly beyond the end of the same interval. This places unnecessary load on both the RADIUS and database servers and may inconvenience a network’s users. There is usually no need to do either of these things.

FreeRADIUS provides a schema extension that implements a recommended approach suitable for most circumstances, which we describe here.


FreeRADIUS only knows the data consumed during each session if the NAS reports this information. A NAS can normally be configured to include total data usage statistics for the session in Accounting Interim-Update (“Alive”) requests and Accounting Stop requests.

If sessions may be long-lived you should enable interim-updates with an interval that is less than the desired reporting interval. If the NAS does not already provide interim-update packets then it can normally be configured to do so, either through its static configuration or by returning an Acct-Interim-Interval RADIUS attribute in authentication response.

NOTE: If you cannot enable the generation of interim-update packets yet still require reasonably accurate data usage reporting then you may have no choice but to set a Session-Timeout RADIUS attribute dynamically to cause the NAS to terminate long-running sessions and report their final data usage close to the start of the reporting period. Alternatively, scripting the generation of CoA/Disconnect packets for all ongoing sessions in the radacct table may be possible, but great care should be taken to not overwhelm a NAS’s limited CPU resources since disconnected devices will likely be trying to reauthenticate whilst other are still being disconnected. Either approach to terminating existing sessions will of course result in an interruption of connectivity for users.


Forthcoming verions of FreeRADIUS will be distributed with a schema extension which introduces a data_usage_by_period table containing data usage keyed by time-period and user, and provides the means of “running an update process” to correctly populate this table, either by calling a stored procedure or running a seperate script:


NOTE: Since this schema extension is independent of the server it can be downloaded directly from GitHub and used with an existing version of FreeRADIUS. For example, for MySQL download the following file in "raw" format:

Rather than burdening the server with populating per-user, time-period data in real time, the standard radacct table is periodically processed to extract the session data that was updated since the previous update was ran.

Running an update closes the current “accounting period“ allocating data consumed by all sessions that “reported in” during that period (via interim-updates or stops) to the period’s users. The update process additionally creates an open-ended, next accounting period to capture future data usage. It is careful to avoid duplicate counting of data used in sessions that span multiple accounting periods by carrying forward into this next period a negated amount for the data that was already allocated to any earlier periods.

The update process appends a number of rows to the data_usage_by_period table that is equal to the number of users whose sessions were active within the current accounting period and therefore makes efficient use of storage.

NOTE: The update process does not have to be called at regular intervals but in production is likely to be invoked either as a cronjob or using the database server’s event scheduler. It can be safely manually invoked (for debugging or ad hoc reporting purposes) as often as necessary outside of the normal schedule without impacting normal usage reporting.

For reporting purposes, the adhoc periods within the data_usage_by_period table can be efficiently aggregated to provide data bucketed into the required reporting intervals.

Example setup

Megacorp stores their RADIUS accounting data in a MySQL database using the standard FreeRADIUS schema. They want to provide reports of monthly data usage for given users.

Firstly, implement the extended schema to create the data_usage_by_period table to hold the data usage amounts and the fr_new_data_usage_period stored procedure that updates this table:

mysql radius < /etc/raddb/mods-config/sql/main/mysql/process-radacct.sql

NOTE: The above command assumes that passwordless login has been configured via the user's ~/.my.cnf file, or otherwise. This command and subsequent commands should be adjusted accordingly where this is not the case.

Call the update process manually to create the initial accounting period for the historical data usage and start of the next period for future use:

$ echo “CALL fr_new_data_usage_period()” | mysql radius

After some time, once a few sessions have reported in, call the update process again manually to populate the current period:

$ echo “CALL fr_new_data_usage_period()” | mysql radius

Ensure that data is being correctly populated. The data within the data_usage_by_period table will look something like this (for a single user):

mysql> SELECT * FROM data_usage_by_period;

| period_start         | period_end           | username | acctinputoctets | acctoutputoctets |
| 1970-01-01T00:00:00Z | 2020-01-01T12:16:42Z | bob      |      1234234324 |      43523453432 |
| 2020-01-01T12:16:43Z | 2020-01-01T12:35:20Z | bob      |            4342 |              434 |
| 2020-01-01T12:35:21Z | NULL                 | bob      |           -3456 |             -567 |

Rows with period_start is 1970-01-01 represent the data usage by all sessions present in the radacct table when the update process was initial ran. Such rows can be removed at any time if data for this historic period is not required.

Rows where period_end is NULL represent the open-ended period for future usage. The acctinputoctets and acctoutputoctets for these rows will be zero or negative. These rows must not be removed, otherwise data for ongoing sessions will be accounted for more than once.

For this example we stated that the required reporting interval is initially monthly, however it is easy to postulate a future requirement to increase the granularity of the reports to some as yet unknown interval using the same historic usage data. We may therefore decide to process the radacct data each day, just after midnight to create fine-grained accounting periods with intervals that begin at the start of the day. Doing this allows accurate usage data to be reported for any interval that is some multiple of a day, yet no more often.

CAUTION: If storage requirements and resources allow then the frequency with which the radacct table is processed could be increased to hourly or even more often. However database "partitioning" should be considered for performance reasons if this would result in an enormous number of rows in the data_usage_by_period table.

Next, enable daily processing of the radacct table by adding something like the following into the database user’s crontab:

0 12    * * *    echo “CALL fr_new_data_usage_period()” | mysql radius

To avoid storing usage data indefinitely a cronjob should be configured to clear out old accounting periods, such as the following:

15 3    * * *    echo “DELETE FROM data_usage_by_period WHERE \
                       period_end < DATE_SUB(CURDATE(), INTERVAL 700 days); \
                      ” | mysql radius

The data_usage_by period table will now be maintained automatically.

To extract the aggregated data usage of a user bucketed in monthly periods the data_usage_by_period table might be queried as follows:

    DATE_FORMAT(period_start, '%Y-%M') AS month,
    SUM(acctinputoctets)/1000/1000/1000 AS GB_in,
    SUM(acctoutputoctets)/1000/1000/1000 AS GB_out
    username='bob' AND
    period_end IS NOT NULL
    YEAR(period_start), MONTH(period_start);

| month          | GB_in          | GB_out          |
| 2019-July      | 5.782279230000 | 50.545664820000 |
| 2019-August    | 4.230543340000 | 48.523096420000 |
| 2019-September | 4.847360590000 | 48.631835480000 |
| 2019-October   | 6.456763250000 | 51.686231930000 |
| 2019-November  | 6.362537730000 | 52.385710570000 |
| 2019-December  | 4.301524440000 | 50.762240270000 |
| 2020-January   | 5.436280540000 | 49.067775280000 |

To obtain the overall data usage for all users the restriction on username=’bob’ can be dropped from the WHERE condition.

NOTE: The above procedure will differ between databases but the steps will be substantially similar. The process-radacct.sql files contains example queries for reporting per-user data usage per month for the respective database flavour.


In summary, the existing radacct table can be processed periodically to obtain all that is required to report periodic user data usage. It is not normally necessary to amend the tables and queries of the existing schema or to reset ongoing sessions in order to obtain the necessary information. The collection and reporting of the additional data required for time-period based data usage accounting can be performed efficiently out of band.