This PR adds the ability to import field values into RangeEnabled frames
using the `pilosa import` command.
Example:
```
pilosa import -i i -f f --field foo sample-vals.csv
```
imports data from sample-vals.csv, which contains data in the format:
```
[ColumnID, Value]
```
Also fixes a bug where `frame.rangeEnabled` was not being set on frame creation.
Renames `config` to `generate-config` and implements a new `config`
command that generates the configuration file based on the current
state instead of printing a static string.
A configurable limit has been added to restrict the number of
mutating calls in a `pql.Query`. This is to prevents requests from
timing out from large queries.
The default is set to 5000 writes per request and is configurable
through the configuration file and the command line flags.
Previously, multiple frames with different prefixes were used to separate
different data layouts. This included separating standard row/column
layouts from inverted column/row layouts as well as storing aggregate
information for timestamp data.
Unfortunately, this caused frame meta data to be copied between multiple
frames and it made it difficult to keep these frames in sync.
This commit separates these different physical layouts into `Views`.
A `Frame` now has one or more views which represent each layout.
Fragments have been moved from under the `Frame` to be contained
within the `View`.
There are two primary views:
- `standard`
- `inverse`
If a frame has a time quantum, then views are generated for these
each of the standard/inverse views. For example a time quantum
of `YMDH` for the date `2000-01-02T00:00:00Z` would create the
following views:
- `standard_2000`
- `inverse_2000`
- `standard_200001`
- `inverse_200001`
- `standard_20000102`
- `inverse_20000102`
From the user's perspective, nothing should change in PQL. Different
PQL statements will handle the appropriate view automatically. For
example, `Bitmap()` and `Profile()` will fetch using the `standard`
view or the `inverse` view, respectively. The `Range()` statement
will lookup the appropriate time-based views automatically.
