How do I group timeseries data by field to view on stacked area graph?

Question

I would like to view a timeseries data grouped by some field name on a stacked area graph.

It understand how to do either by field or by time slices, but I cannot understand how to do *both* at the same time so I can view a stacked area graph grouped by a field.

E.g. I group by field like this (it produces only a bar graph):

```
fields @message
    | parse @message "[*] something*,*" as hash, taskName, restOfMessage
    | display @timestamp, taskName, restOfMessage
    | filter ispresent(taskName)
    | stats count(*) by taskName
```

Or like this (produces a stacked area with just one line, and I want it to have lines for every `taskName`):

```
fields @message
    | parse @message "[*] something*,*" as hash, taskName, restOfMessage
    | display @timestamp, taskName, restOfMessage
    | filter ispresent(taskName)
    | stats count(*) by bin(30s)
```

Would appreciate any advice

Answer

You can visualise in 'Stacked area' or 'Line' graph, when you use the `bin()` function. Hence, you were able to get the stacked area chart in your **second query only**.

> For queries, where you group by fieldName and not use `bin()` function, *stacked area and line charts* cannot be visualised. Such queries generate bar charts only. This restriction is mentioned on AWS documentation [here](https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/CWL_Insights-Visualizing-Log-Data.html#:~:text=Line%20chart%20and%20stacked%20area%20chart%20restrictions).

To be able to plot a stacked area chart with grouping for different fields - you can modify the query to include aggregation across the fields' possible values in your `stats` statement. This can be done by having different taskName(s) specified across the function you use for aggregation.

For example, in the query below I have used `sum()` function across different taskName(s):

```
fields @message
| parse @message "[*] something*,*" as hash, taskName, restOfMessage
| display @timestamp, taskName, restOfMessage
| filter ispresent(taskName)
| stats sum(taskName = 'task1') as task1, sum(taskName = 'task2') as task2, sum(taskName = 'task3') as task3 by bin(30s)
```
Change the above query accordingly to include as many taskName(s) necessary, and by using the appropriate values for **taskName** (task1, task2 etc.) in the `sum()` function's attributes.

This should allow for a stacked area chart to show up, with stacks for each different taskName. Hope this workaround helps!

How do I group timeseries data by field to view on stacked area graph?

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