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To navigate to the Inspect tab, double-click on the Data aggregator function icon from the stream editor canvas, then click Inspect at the top right of the page.

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Widgets

The widgets provide a snapshot of the number of active sessions, the oldest ongoing session, and the most recently initiated session. You can hide the widgets by going to Display options and switching off the Overview widgets toggle.

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Inspect tab table

The table on the Inspect tab displays the data related to the sessions.

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Actions on the Inspect tab table

Under More you have the following options:

Action

Description

 View

Shows you the state of an aggregation session. You can copy the data if required.

Info

Example - Aggregated session data in JSON format

This is an example of a JSON file sent downstream after a flush.

Code Block
{
    "timeoutAt": "2024-10-02T14:19:48.108Z",
    "createdAt": "2024-10-02T13:19:48.108Z",
    "sum_fieldX": 52,
    "group_fieldsA": 105,
    "month_timestamp": "2024-09"
}

"timeoutAt": "2024-10-02T14:19:48.108Z"

This indicates the exact time when the system flushed the aggregated data. The data was flushed (sent downstream or processed further) based on a timeout at this specific timestamp.

"createdAt": "2024-10-02T13:19:48.108Z"

This marks the start time of the aggregation session, showing when the session was created. It indicates that this session ran for exactly one hour before the timeout occurred and the data was flushed.

"sum_fieldX": 52

This shows that the aggregator has summed up the value in fieldX to 52 during this session52 fieldX during this session. This could refer to any fields configured in the aggregated field section in the function’s configuration. in configuration. unit of data being aggregated.

"group_fieldsA": 105

This could be any field that’s that has been used to group the data during aggregation. It can be set by selecting fields in Group fields in the function's configuration. This is the identifier for an entity associated with this aggregation. It shows which entity’s data was aggregated in this session.

"month_timestamp": "2024-09"

This field represents the aggregation period. this is based on the date/time configured in Group fields in the aggregator function’s configuration. September 2024.

Note!

These metadata fields can be used when creating custom scripts for aggregated data. See, Metadata, at the bottom of this page for more details.

Edit Timeout

Edit the timeout date and time on a session before a session is flushed. This allows you to change when a timeout will happen before a session gets flushed.

Delete

Delete the session. A warning message and confirmation dialogue will pop up.

Note!

You cannot delete a solution, stream, or data aggregator function that has active aggregation sessions. You must first delete the aggregation sessions and then delete the functions, streams, and solutions they were a part of.

Toolbar buttons

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Filter

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You can filter the aggregated sessions based on the following:

Filter panel fields

Description

Planned timeoutSession creation

Select from the dropdown list or select Custom and enter the from and to dates and times.

Session createdPlanned timeout

Select from the dropdown list or select Custom and enter the from and to dates and times.

Fields

Select Use this option to filter by the Field and Type of field from the dropdown lists. Depending on the Type of field selected (String, Number, or Boolean) different options will become available. Value of a specific attribute. For example, if the Type of field is Number, then the Operator field will appear where you can select the relevant Operator from the dropdown list, like, after selecting the Field, you can choose an Operator like Less than, Greater than, Equal to etc.. Finally, enter the value(s) of the field - this option will also change depending on the Type of field selected.

+ Add field

Add up to 5 fields in the filteror you can filter according to Range of values or Is not equal to. In the Script Aggregator Inspect tab filter, you also can select the type of the field (String, Numerical or Boolean).

Tip

Hint!

When you have set a filter, the Filters Applied label is displayed. Click on the Hide filter button to hide the Filter options. 

Note!

The filter function is disabled if there are more than 10,000 sessions in the Inspect tab.

Display options panel

Enable or disable the Overview widgets and select which columns to display in the data table. You can also toggle the Overview widgets on and off in this panel.

Display_options_inspect_tab.png

Refresh data

Use this button to update and view the most current state of the aggregation sessions or data being displayed.

Metadata

There may be instances where you want to apply certain rules to aggregated data, such as applying a discount or adjusting values based on specific business rules. You can achieve this by using the Script function. If you need to reference metadata from aggregated sessions, such as the number of records or timestamps, you can access it using the meta-variable as described in Supported Variables/APIs.

Info

Example- metadata for an aggregated session

This example shows a JSON object representing metadata about a Data Aggregator function. It shows an aggregation session, including details about the events processed and how the data was flushed.

Code Block
{"origin":"Data_Aggregator","count":7,"flushType":"TIMEOUT","firstEvent":"2022-04-08T17:35:53.239Z","lastEvent":"2022-04-08T17:38:17.315Z","lastCall":false}

Property name 

Description

origin

This indicates that the data comes from the Data Aggregator component of the stream

count

Number of aggregated records

flushType

The reason for the session being flushed out. Shows any of the values: ALL_FILES, EACH_FILE, TIMEOUT, and CONDITION. During preview, the value will be empty.

firstEvent

Date and time of the first aggregated record in the session

lastEvent

Date and time of the last aggregated record in the session

lastCall

This indicates that this flush is not the final flush of the stream. There may still be more data to process, and additional flushes will happen later.