For each entry we executed two calls to System.nanoTime().
The resulting numbers aren't very reliable and calling nanoTime
that often (160k - 300k per second) is quite expensive.
Now we can find writer much faster, because we don't have to execute
a query for documents that match the tags. We can just look up the
documents in the map.
Speedup: 2-4ms -> 0.002-0.01ms
Plotting can take a long time and use a lot of resources.
Multiple plot requests can cause the machine to run OOM.
We are now allowing plots for 500k files again. This is mainly to
prevent unwanted plots of everything.
Added buttons to shift left/right, so that you do not have to
edit the date offset.
I decided to replace icons.css with font-awesome.min.css,
because I am too lazy to add the CSS for the icons every
time I use a new icon.
1. Log the exception in PdbFileIterator with a logger instead
of just printing it to stderr.
2. Increase log level for exceptions when inserting entries.
3. Log exception when creation of entry failed in TcpIngestor.
We are using ANTLR listeners to find out where in the
query the cursor is. Then we generate a list of keys/values
that might fit at that position. With that information we
can generate new queries and sort them by the number
of results they yield.
This is done in preparation for the proposal API.
In order to compute proposals we need to consume the
API of the DataStore, but the code does not need to
be in the DataStore.
Extracting the API allows us to separate these concerns.
