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/...

Now run pilosa with the default configuration:

pilosa

Configuration

You can specify a configuration by setting the -config flag when running pilosa.

pilosa -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"

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

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"

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.

A query sent to database exampleDB will have the following format:

$ curl -X POST "http://127.0.0.1:15000/query?db=exampleDB" -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=exampleDB" -d 'SetBit(id=10, frame="foo", profileID=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=exampleDB" -d 'Query() Query() Query()'

---

SetBit()

SetBit(id=10, frame="foo", profileID=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.

---

ClearBit()

ClearBit(id=10, frame="foo", profileID=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(id=10, frame="foo", category=123, color="blue", happy=true)

Returns {"results":[null]}

---

Bitmap()

Bitmap(id=10, frame="foo")

Returns {"results":[{"attrs":{"category":123,"color":"blue","happy":true},"bits":[1,2]}]} where attrs are the attributes set using SetBitmapAttrs() and bits are the bits set using SetBit().

---

Union()

Union(Bitmap(id=10, frame="foo"), Bitmap(id=20, frame="foo")))

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(id=10, frame="foo"), Bitmap(id=20, frame="foo")))

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(id=10, frame="foo"), Bitmap(id=20, frame="foo")))

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(id=10, frame="foo"))

Returns the count of the number of bits set in Bitmap(): {"results":[28]}

---

Range()

Range(id=10, frame="foo", start="1970-01-01T00:00", end="2000-01-02T03:04")

---

TopN()

TopN(frame="bar", n=20)

Returns the top 20 Bitmaps from frame bar.

TopN(Bitmap(id=10, frame="foo"), frame="bar", n=20)

Returns the top 20 Bitmaps from bar sorted by the count of bits in the intersection with Bitmap(id=10).

TopN(Bitmap(id=10, frame="foo"), frame="bar", n=20, field="category", [81,82])

Returns the top 20 Bitmaps from barin attribute category with values 81 or 82 sorted by the count of bits in the intersection with Bitmap(id=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"