Unfortunately the datetime picker does not support seconds. But it is
one of the few that support date and time and are flexible enough to
be used with VueJS.
1. yRange is set to 0-120 minutes. This makes the gallery plots easier
to compare.
2. Set groupBy to pod/method/build. That is what I use the most and I
think this will help in most cases.
Ingestion speed dropped drastically with the old implementation.
In some situations to 7 entries per second over a 10 second period
(sic!). When using the already opened RandomAccessFile the speed
is back to previous values of 40k-50k entries per second on my 10 year
old machine on an encrypted spinning disk.
The old implementation opened a new buffered reader everytime
getPathByOffset was called. This took 1/20th of a second or
longer. For queries that visited thousands of files this could
take a long time.
We are now using a RandomAccessFile, that is opened once. The
average time spend in getPathByOffset is now down to 0.11ms.
The path in Doc is not optional. This reduces memory consumption,
because we only have to store a long (the offset in the listing file).
This assumes, that only a small percentage of Docs is requested.
- split the 'sortby' select field into two fields
- sort by average
- legend shows plotted and total values in the date range
- removed InlineDataSeries, because it was not used anymore
In logarithmic plots it is not easy to spot which event are longer than
60 seconds. A thin grey line help with this.
Also: fixed the marker lines (zoom area) which broke when y-ranges were
introduced. The lines were not drawn correctly, when the y-axis offset
was greater than 0.
Gnuplot supports differen coordinate systems. 'graph' is relative to the
area within the axes, 0,0 is bottom left and 1,1 is top right. And
'first' is based on the values of the x1 axis.
By using "graph 0.25,0" we say that the starting point is 25% of the
x-axis and 0% of the y-axis without having to compute the exact values.
Sometimes it is useful to specify the certain y-axis range. For example
when you are only interested in the values that take longer than a
threshold. Or when you want to exclude some outliers. When you want to
compare plots in a gallery, it is very handy when all plots have the
same data-area.
Eventually we want to only support what is now called aggregate, but
not have to implement different plot types. So instead of supporting
percentile plots for dashboards I removed them. You can still get
percentile plots together with the scatter plot.
Scaling big plots to small thumbnails results in bad images that barely
show any details.
We solve this by calling gnuplot a second time to generate the
thumbnails. They don't have any labels and are rendered in the required
size, so that not scaling is necessary.
Thumbnails have to be requested explicitly, because it can be expensive
to compute them.
Counting the available values is quite expensive and there are only a
few corner cases where this makes sense. One of them is when the query
is for a method that is not project specific and therefore no project
values can be found.
