pilosa v0.4.0

Javascript/Typescript Client for Pilosa

Javascript/Typescript client for Pilosa high performance distributed bitmap index.

Change Log

• v0.4.0 (2017-06-10):

  • Supports Pilosa Server v0.4.0.
  • Breaking Change: Changed default row ID label to rowID and default column ID to column ID.
  • Updated the accepted values for index, frame names and labels to match with the Pilosa server.
  • Union queries accept 0 or more arguments. Intersect and Difference queries accept 1 or more arguments.
  • Added inverse TopN and inverse Range calls.
  • Inverse enabled status of frames is not checked on the client side.
  • https scheme is allowed.

• v0.3.3 (2017-05-28):

  • Initial version.
  • Supports Pilosa Server v0.3.2.

Requirements

• NodeJS 4 or later
• (Optional) Typescript 2.3 and higher

Install

Pilosa client is available as an npm package. You can install the library using:

npm install --save pilosa

Usage

Quick overview (Javascript/Typescript using promises)

Assuming Pilosa server is running at localhost:10101 (the default):

var pilosa = require("pilosa");

// Create the default client
var client = new pilosa.Client();

// Create an Index object
var myindex = new pilosa.Index("myindex");

// Create a Frame object
var myframe = myindex.frame("myframe");

// Make sure the index exists on the server
client.ensureIndex(myindex).then(() =>

// Make sure the frame exists on the server
client.ensureFrame(myframe)).then(() =>

// Send a SetBit query
client.query(myframe.setBit(5, 42))).then(_ => {
    // Send a Bitmap query
    client.query(myframe.bitmap(5)).then(response => {
        if (response.result) {
            var bits = response.result.bitmap.bits;
            console.log("Got bits: ", bits);
        }
    }).catch(err => console.log("ERROR: ", err));

    // You can batch queries to improve throughput
    client.query(
        myindex.batchQuery(
            myframe.bitmap(5),
            myframe.bitmap(19)
        )
    ).then(response => {
        response.results.forEach(result => {
            console.log("Got bits: ", result.bitmap.bits);
        });
    }).catch(err => console.log("ERROR: ", err));
}).catch(err => console.log("ERROR: ", err));

Quick overview (Typescript using async/await)

import * as pilosa from "pilosa";

async function main() {
    // Create the default client
    var client = new pilosa.Client();

    // Create an Index object
    var myindex = new pilosa.Index("myindex");

    // Create a Frame object
    var myframe = myindex.frame("myframe");

    // Make sure the index exists on the server
    await client.ensureIndex(myindex);

    // Make sure the frame exists on the server
    await client.ensureFrame(myframe);

    // Send a SetBit query
    await client.query(myframe.setBit(5, 42));

    // Send a Bitmap query
    var response = await client.query(myframe.bitmap(5));
    if (response.result) {
        var bits = response.result.bitmap.bits;
        console.log("Got bits: ", bits);
    }

    // You can batch queries to improve throughput
    response = await client.query(
        myindex.batchQuery(
            myframe.bitmap(5),
            myframe.bitmap(19)));

    response.results.forEach(result => {
        console.log("Got bits: ", result.bitmap.bits);
    });
}

main().catch(err => console.log("ERROR: ", err));

Data Model and Queries

Indexes and Frames

Index and frames are the main data models of Pilosa. You can check the Pilosa documentation for more detail about the data model.

Index constructor is used to create an index object. Note that this does not create an index on the server; the index object simply defines the schema.

var repository = new pilosa.Index("repository")

Indexes support changing the column label and time quantum. IndexOptions objects store that kind of data. In order to apply these custom options, pass an IndexOptions object as the second argument to Index:

var options = {
    columnLabel: "repo_id",
    timeQuantum: pilosa.TimeQuantum.YEAR_MONTH
}
var repository = pilosa.Index("repository", options);

Frames are created with a call to index.frame method:

var stargazer = repository.frame("stargazer");

Similar to index objects, you can pass custom options to the index.frame method:

var options = {
    rowLabel: "stargazer_id",
    timeQuantum: pilosa.TimeQuantum.YEAR_MONTH_DAY
}
var stargazer = repository.frame("stargazer", options);

Queries

Once you have indexes and frame objects created, you can create queries for them. Some of the queries work on the columns; corresponding methods are attached to the index. Other queries work on rows, with related methods attached to frames.

For instance, Bitmap queries work on rows; use a frame object to create those queries:

var bitmapQuery = stargazer.bitmap(1, 100);  // corresponds to PQL: Bitmap(frame='stargazer', stargazer_id=1)

Union queries work on columns; use the index object to create them:

var query = repository.union(bitmapQuery1, bitmapQuery2);

In order to increase througput, you may want to batch queries sent to the Pilosa server. The index.batchQuery method is used for that purpose:

var query = repository.batchQuery(
    stargazer.bitmap(1, 100),
    repository.union(stargazer.bitmap(100, 200), stargazer.bitmap(5, 100))
);

The recommended way of creating query objects is, using dedicated methods attached to index and frame objects. But sometimes it would be desirable to send raw queries to Pilosa. You can use the index.rawQuery method for that. Note that, query string is not validated before sending to the server:

var query = repository.rawQuery("Bitmap(frame='stargazer', stargazer_id=5)");

Check Pilosa documentation for PQL details. Here is a list of methods corresponding to PQL calls:

Index:

• union(...bitmaps: Array<PqlBitmapQuery>): PqlBitmapQuery
• intersect(...bitmaps: Array<PqlBitmapQuery>): PqlBitmapQuery
• difference(...bitmaps: Array<PqlBitmapQuery>): PqlBitmapQuery
• count(bitmap: PqlBitmapQuery): PqlQuery
• setColumnAttrs(columnID: number, attrs: AttributeMap): PqlBitmapQuery

Frame:

• bitmap(rowID: number): PqlBitmapQuery
• inverseBitmap(columnID: number): PqlQuery
• setBit(rowID: number, columnID: number, timestamp?: Date): PqlQuery
• clearBit(rowID: number, columnID: number): PqlQuery
• topN(n: number, bitmap?: PqlBitmapQuery, field?: string, ...values: Array<any>): PqlBitmapQuery
• inverseTopN(n: number, bitmap?: PqlBitmapQuery, field?: string, ...values: Array<any>): PqlBitmapQuery
• range(rowID: number, start: Date, end: Date): PqlBitmapQuery
• inverseRange(columnID: number, start: Date, end: Date): PqlBitmapQuery
• setRowAttrs(rowID: number, attrs: AttributeMap): PqlBitmapQuery

Pilosa URI

A Pilosa URI has the ${SCHEME}://${HOST}:${PORT} format:

• Scheme: Protocol of the URI. Default: http.
• Host: Hostname or ipv4/ipv6 IP address. Default: localhost.
• Port: Port number. Default: 10101.

All parts of the URI are optional, but at least one of them must be specified. The following are equivalent:

• http://localhost:10101
• http://localhost
• http://:10101
• localhost:10101
• localhost
• :10101

A Pilosa URI is represented by the pilosa.URI class. Below are a few ways to create URI objects:

// create the default URI: http://localhost:10101
var uri1 = new pilosa.URI()

// create a URI from string address
var uri2 = pilosa.URI.address("db1.pilosa.com:20202")

// create a URI with the given host and port
var URI uri3 = new pilosa.URI(host="db1.pilosa.com", port=20202);

Pilosa Client

In order to interact with a Pilosa server, an instance of pilosa.Client should be created. We recommend creating a single instance of the client and share it with other objects when necessary.

If the Pilosa server is running at the default address (http://localhost:10101) you can create the default client with default options using:

var client = new pilosa.Client()

To use a a custom server address, pass the address in the first argument:

var client = new pilosa.Client("http://db1.pilosa.com:15000")

If you are running a cluster of Pilosa servers, you can create a pilosa.Cluster object that keeps addresses of those servers:

var cluster = new pilosa.Cluster(
    pilosa.URI.address(":10101"),
    pilosa.URI.address(":10110"),
    pilosa.URI.address(":10111"),
);

// Create a client with the cluster
var client = new pilosa.Client(cluster)

Once you create a client, you can create indexes, frames and start sending queries. All client methods return a Promise object.

Here is how you would create an index and frame:

// materialize repository index instance initialized before
client.createIndex(repository).then(() =>
// materialize stargazer frame instance initialized before
client.create_frame(stargazer).then(() => {
    // actions on the frame.
})).catch(err => {
    // act on the error
});

Using async/await syntax is obviously preferable in case you are using Javascript with NodeJS 7 and higher or Typescript:

try {
    // materialize repository index instance initialized before
    await client.createIndex(repository);
    // materialize stargazer frame instance initialized before
    await client.create_frame(stargazer);

    // actions on the frame...
}
catch (e)  {
    // act on the error
}

If the index or frame exists on the server, you will receive a PilosaError. You can use ensureIndex and ensureFrame methods to ignore existing indexes and frames.

You can send queries to a Pilosa server using the query method of client objects.

Using promises:

client.query(frame.bitmap(5)).then(response => {
    // act on the response
})

Using async/await:

var response = await client.query(frame.bitmap(5));
// act on the response

query method accepts an optional argument of type QueryOptions:

var queryOptions = {
    columns: true  // return column data in the response
}
client.query(frame.bitmap(5), queryOptions).then(response => {
    // act on the response
});

Server Response

When a query is sent to a Pilosa server, the server either fulfills the query or sends an error message. In the case of an error, PilosaError is returned, otherwise a QueryResponse object is returned.

A QueryResponse object may contain zero or more results of QueryResult type. You can access all results using the results property of QueryResponse (which returns a list of QueryResult objects) or you can use the result property (which returns either the first result or null if there are no results):

client.query(frame.bitmap(5)).then(response => {
    // check that there's a result and act on it
    var result = response.result
    if result {
        // act on the result
    }

    // iterate on all results
    response.results.forEach(result => {
        // act on the result
    });
}).catch(err => {
    // act on the error
});

Similarly, a QueryResponse object may include a number of column objects, if columns=true query option was used:

// check that there's a column object and act on it
var column = response.column
if column {
    // act on the column
}
    
// iterate on all columns
response.columns.forEach(column => {
    // act on the column
})

QueryResult objects contain:

• bitmap property to retrieve a bitmap result,
• countItems property to retrieve column count per row ID entries returned from topN queries,
• count property to retrieve the number of rows per the given row ID returned from count queries.

var bitmap = response.bitmap
var bits = bitmap.bits
var attributes = bitmap.attributes

var countItems = response.countItems

var count = response.count

Contribution

1. Fork this repo and add it as upstream: git remote add upstream git@github.com:yuce/js-pilosa.git.
2. Make sure all tests pass (use make test-all) and be sure that the tests cover all statements in your code (we aim for 100% test coverage).
3. Commit your code to a feature branch and send a pull request to the master branch of our repo.

The sections below assume your platform has make. Otherwise you can view the corresponding steps of the Makefile.

Running tests

You can run unit tests with:

make test

And both unit and integration tests with:

make test-all

Generating protobuf classes

Protobuf classes are already checked in to source control, so this step is only needed when the upstream public.proto changes.

Before running the following step, make sure you have the Protobuf compiler installed:

make generate

License

Copyright 2017 Yuce Tekol

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:

1. Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.

3. Neither the name of the copyright holder nor the names of its
contributors may be used to endorse or promote products derived
from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR
CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH
DAMAGE.