Now that the default data dir is defined by the flag, we don't need to set it explicitly if it isn't set. We also stop reading the config file explicitly in server.go since viper will read it - we do need to define all the config options though before the config file will work properly. |
||
|---|---|---|
| .github | ||
| cmd | ||
| ctl | ||
| datadog | ||
| internal | ||
| pql | ||
| roaring | ||
| server | ||
| .dockerignore | ||
| .gitignore | ||
| .travis.yml | ||
| attr.go | ||
| attr_test.go | ||
| bitmap.go | ||
| cache.go | ||
| client.go | ||
| client_test.go | ||
| cluster.go | ||
| cluster_test.go | ||
| config.go | ||
| db.go | ||
| db_test.go | ||
| Dockerfile | ||
| executor.go | ||
| executor_test.go | ||
| fragment.go | ||
| fragment_test.go | ||
| frame.go | ||
| frame_test.go | ||
| glide.lock | ||
| glide.yaml | ||
| handler.go | ||
| handler_test.go | ||
| index.go | ||
| index_test.go | ||
| iterator.go | ||
| iterator_test.go | ||
| Makefile | ||
| NOTES | ||
| pilosa.go | ||
| README-dev.md | ||
| README.md | ||
| server.go | ||
| stats.go | ||
| time.go | ||
| time_test.go | ||
pilosa
Pilosa is a bitmap index database.
Getting Started
Pilosa requires Go 1.7 or greater.
You can download the source by running go get:
$ go get github.com/pilosa/pilosa
Now you can install the pilosa binary:
$ go install github.com/pilosa/pilosa/cmd/...
Now run a single pilosa node with the default configuration:
pilosa server
Configuration
You can specify a configuration by setting the -config flag when running pilosa.
pilosa server --config custom-config-file.cfg
The config file uses the TOML configuration file format, and should look like:
data-dir = "/tmp/pil0"
host = "127.0.0.1:15000"
[cluster]
replicas = 2
[[cluster.node]]
host = "127.0.0.1:15000"
[[cluster.node]]
host = "127.0.0.1:15001"
You can generate a template config file with default values with:
pilosa config
The first two configuration options will be unique to each node in the cluster:
data-dir: directory in which data is stored to disk
host: IP and port of the pilosa node
The remaining configuration options should be the same on every node in the cluster.
replicas: the number of replicas within the cluster
[[cluster.node]]: specifies each node within the cluster
Docker
You can create a Pilosa container using make docker or equivalently:
docker build -t pilosa:latest .
You can run a temporary container using:
docker run -it --rm --name pilosa -p 15000:15000 pilosa:latest
When you click Ctrl+C to stop the container, the container and the data in the container will be erased. You can leave out --rm flag to keep the data in the container. See Docker documentation for other options.
Usage
You can interact with Pilosa via HTTP requests to the host:port on which you have Pilosa running.
The following examples illustrate how to do this using curl with a Pilosa cluster running on
127.0.0.1 port 15000.
Return the version of Pilosa:
$ curl "http://127.0.0.1:15000/version"
Return a list of all databases and frames in the index:
$ curl "http://127.0.0.1:15000/schema"
Database and Frame Schema
Before running a query, the corresponding database and frame must be created. Note that database and frame names can contain only lower case letters, numbers, dash (-), underscore (_) and dot (.).
You can create the database sample-db using:
$ curl -XPOST "http://127.0.0.1:15000/db" \
-d '{"db": "sample-db"}'
Optionally, you can specify the column label on database creation:
$ curl -XPOST "http://127.0.0.1:15000/db" \
-d '{"db": "sample-db", "columnLabel": "user"}'
The frame collaboration may be created using the following call:
$ curl -XPOST "http://127.0.0.1:15000/frame" \
-d '{"db": "sample-db", "frame": "collaboration"}'
It is possible to specify the frame row label on frame creation:
$ curl -XPOST "http://127.0.0.1:15000/frame" \
-d '{"db": "sample-db", "frame": "collaboration"}, "options": {"rowLabel": "project"}}'
Queries
Queries to Pilosa require sending a POST request where the query itself is sent as POST data.
You specify the database on which to perform the query with a URL argument db=database-name.
In this section, we assume both the database sample-db with column label user and the frame collaboration with row label project was created.
A query sent to database sample-db will have the following format:
$ curl -X POST "http://127.0.0.1:15000/query?db=sample-db" -d 'Query()'
The Query() object referenced above should be made up of one or more of the query types listed below.
So for example, a SetBit() query would look like this:
$ curl -X POST "http://127.0.0.1:15000/query?db=sample-db" -d 'SetBit(project=10, frame="collaboration", user=1)'
Query results have the format {"results":[]}, where results is a list of results for each Query(). This
means that you can provide multiple Query() objects with each HTTP request and results will contain
the results of all of the queries.
$ curl -X POST "http://127.0.0.1:15000/query?db=sample-db" -d 'Query() Query() Query()'
SetBit()
SetBit(project=10, frame="collaboration", user=1)
A return value of {"results":[true]} indicates that the bit was toggled from 0 to 1.
A return value of {"results":[false]} indicates that the bit was already set to 1 and therefore nothing changed.
SetBit accepts an optional timestamp field:
SetBit(project=10, frame="collaboration", user=2, timestamp="2016-12-11T10:09:07")
ClearBit()
ClearBit(project=10, frame="collaboration", user=1)
A return value of {"results":[true]} indicates that the bit was toggled from 1 to 0.
A return value of {"results":[false]} indicates that the bit was already set to 0 and therefore nothing changed.
SetBitmapAttrs()
SetBitmapAttrs(project=10, frame="collaboration", stars=123, url="http://projects.pilosa.com/10", active=true)
Returns {"results":[null]}
SetProfileAttrs()
SetProfileAttrs(user=10, friends=123, username="mrpi", active=true)
Returns {"results":[null]}
Bitmap()
Bitmap(project=10, frame="collaboration")
Returns {"results":[{"attrs":{"stars":123, "url":"http://projects.pilosa.com/10", "active":true},"bits":[1,2]}]} where attrs are the
attributes set using SetBitmapAttrs() and bits are the bits set using SetBit().
In order to return profile attributes attached to the profiles of a bitmap, add &profiles=true to the query string. Sample response:
{"results":[{"attrs":{},"bits":[10]}],"profiles":[{"user":10,"attrs":{"friends":123, "username":"mrpi", "active":true}}]}
Union()
Union(Bitmap(project=10, frame="collaboration"), Bitmap(project=20, frame="collaboration")))
Returns a result set similar to that of a Bitmap() query, only the attrs dictionary will be empty: {"results":[{"attrs":{},"bits":[1,2]}]}.
Note that a Union() query can be nested within other queries anywhere that you would otherwise provide a Bitmap().
Intersect()
Intersect(Bitmap(project=10, frame="collaboration"), Bitmap(project=20, frame="collaboration")))
Returns a result set similar to that of a Bitmap() query, only the attrs dictionary will be empty: {"results":[{"attrs":{},"bits":[1]}]}.
Note that an Intersect() query can be nested within other queries anywhere that you would otherwise provide a Bitmap().
Difference()
Difference(Bitmap(project=10, frame="collaboration"), Bitmap(project=20, frame="collaboration")))
Difference() represents all of the bits that are set in the first Bitmap() but are not set in the second Bitmap(). It returns a result set similar to that of a Bitmap() query, only the attrs dictionary will be empty: {"results":[{"attrs":{},"bits":[2]}]}.
Note that a Difference() query can be nested within other queries anywhere that you would otherwise provide a Bitmap().
Count()
Count(Bitmap(project=10, frame="collaboration"))
Returns the count of the number of bits set in Bitmap(): {"results":[28]}
Range()
Range(project=10, frame="collaboration", start="1970-01-01T00:00", end="2000-01-02T03:04")
TopN()
TopN(frame="geo")
Returns all Bitmaps in the cache from frame geo sorted by the count of bits.
TopN(frame="geo", n=20)
Returns the top 20 Bitmaps from frame geo.
TopN(Bitmap(project=10, frame="collaboration"), frame="geo", n=20)
Returns the top 20 Bitmaps from geo sorted by the count of bits in the intersection with Bitmap(project=10).
TopN(Bitmap(project=10, frame="collaboration"), frame="geo", n=20, field="category", [81,82])
Returns the top 20 Bitmaps from geoin attribute category with values 81 or 82 sorted by the count of bits in the intersection with Bitmap(project=10).
Development
Updating dependencies
To update dependencies, you'll need to install Glide.
Then add the new dependencies in your project:
$ glide get github.com/foo/bar
Protobuf
If you update protobuf (pilosa/internal/internal.proto), then you need to run go generate
$ go generate
Version
In order to set the version number, compile Pilosa with the following argument:
$ go install --ldflags="-X main.Version=1.0.0"