This commit adds a Decimal field type which is implemented mostly with
the Int field. It adds an optional "Scale" value to the Int field
which means that the values stored in that field are actually meant to
be divided by 10^Scale before being interpreted.
In order to make use of this functionality, we extend the importValue
request to allow a slice of floats rather than just int64. If the
slice of floats is present, each float in the slice is multiplied by
10^Scale and converted to an int64 before being imported. If a slice
of int64 is imported to a Decimal field, it is treated normally, and
scale is ignored. This allows the conversion to be handled at the
client side if desired.
Currently there are Field level methods for querying Float values out
of a decimal field, but no support in PQL or the executor for getting
float values. Going to wait until I can use the generic result type
before doing that, so for now, any values queried will be the scaled
integer values.
needed to add client support for importing float values, and did this
by adding a more general and simplified client method for value
imports.
rewrote api.ImportValue to use the new method which should be more
performant and efficient.
allow floats to be "pilosa import"ed into decimal fields
What if you could ?profile=true on a query and get some
numbers back? That'd be really cool.
We already have tracing/spans, but right now, those only generate
any data if you have something set up for them to trace to. Add a
fancy wrapper that lets us generate our own tracing data, and dump
it into the request response, if ?profile=true.
We track wall-clock execution time, plus possible arbitrary K/V
pairs. Memory stats are not included, because obtaining them is
surprisingly expensive.
also fix a *bunch* of tests that weren't closing the clusters they
created. Cleaned up one test to use t.Run instead of just checking
everything in a loop
report the approximate hardware specs (CPU speed, cores, memory)
of the server in the /info endpoint. This may be useful when
benchmarking.
We do some workarounds because gopsutil's core count output is
confusingly different between Linux and Darwin, and the MHz output
is usually wrong on Linux. Intel's app notes say to just parse
the model string. Whyyyyyyy.
I'd like to add stat tracking to Roaring, which means it
has to be able to import the stats package, which means
stats has to be a package rather than part of the pilosa
package. If stats stops being in pilosa, it still needs
a way to import logger, so logger also has to leave the
pilosa package. Then everything using them needs to import
them and use package selectors on their names.
This doesn't actually add the stats support to roaring,
it just makes it so there's a way to import the stats
code from something in the roaring package.
This commit adds the ability to remove an 'available shard'
from the shard cache. This does not affect shards known to be
available because of local data.
