Had to jump through some hoops to kill the remote cluster reliably. Not all ssh
server implementations respect signals, so in order to kill the cluster, we
request a pty for the ssh session. This allows us to send the byte 0x03 which is
effectively the same has hitting Ctrl-c in an interactive ssh session. With a
pty, just closing the session also seems to kill the remote process.
Benchmark implementations can now use 'HasClient' as a component which provides
an Init method which sets up the pilosa client in a configurable way.
Implementations must still expose the ClientType argument through ConsumeFlags
and describe it in Usage()
A `StatsClient` for `expvar` is added so we can track Stats through
the `/debug/vars` endpoint. Tags are nested inside maps so that we
can see stats for db, frame & slice.
Also added a `MultiStatsClient` for chaining multiple `StatsClient`
implementations together (e.g. `expvar` and DataDog).
Introduces new `pilosactl sort` to sort import files by bit
position so they can be inserted faster. Also optimizes container
scanning and adds a `-buffer-size` flag to `import`.
This commit makes several changes to optimize the TopN() query:
- Reduce highbits() back from 24-bits to 16-bits.
- Reduce MaxArraySize back from 2^20 to 4096.
- Optimize bitmap count invalidation.
- Parallelize TopN() across nodes.
- Parallelize TopN() across slices.
CSV exports can now be done with the pilosactl application:
$ pilosactl -d mydb -f myframe -o MYFILE.csv
If `-o` is not specified then the CSV is written to STDOUT. The
exporter combines all slices for the db/frame to into a single
concatenated CSV file.
This commit moves the cache flush to the `Index` and only serializes
a single fragment at a time.
Also included in this commit is the `inspect` command for the
`pilsoactl` binary. This provides insight into pilosa data files.
