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Cassandra CQL 3 binary protocol driver for Ruby
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README.md

Ruby CQL3 driver

Build Status Coverage Status

Please note that this is the readme for the development version and that some features described here might not yet have been released.

Requirements

Cassandra 1.2 or later with the native transport protocol turned on and a modern Ruby. It's tested continuously in Travis with Ruby 1.9.3, 2.0, JRuby 1.7 and Rubinius 2.0.

Installation

gem install cql-rb

Configure Cassandra

If you're running Cassandra 1.2.5 or later the native transport protocol is enabled by default, if you're running an earlier version (but later than 1.2) you must enable it by editing cassandra.yaml and setting start_native_transport to true.

Quick start

require 'cql'

client = Cql::Client.connect(hosts: ['cassandra.example.com'])
client.use('system')
rows = client.execute('SELECT keyspace_name, columnfamily_name FROM schema_columnfamilies')
rows.each do |row|
  puts "The keyspace #{row['keyspace_name']} has a table called #{row['columnfamily_name']}"
end

The host you specify is just a seed node, the client will automatically connect to all other nodes in the cluster (or nodes in the same data center if you're running multiple rings).

When you're done you can call #close to disconnect from Cassandra:

client.close

Usage

The full API documentation is available from rubydoc.info.

Changing keyspaces

You can specify a keyspace to change to immediately after connection by passing the :keyspace option to Client.connect, but you can also use the #use method, or #execute:

client.use('measurements')

or using CQL:

client.execute('USE measurements')

Running queries

You run CQL statements by passing them to #execute.

client.execute("INSERT INTO events (id, date, description) VALUES (23462, '2013-02-24T10:14:23+0000', 'Rang bell, ate food')")

client.execute("UPDATE events SET description = 'Oh, my' WHERE id = 13126")

If the CQL statement passed to #execute returns a result (e.g. it's a SELECT statement) the call returns an enumerable of rows:

rows = client.execute('SELECT date, description FROM events')
rows.each do |row|
  row.each do |key, value|
    puts "#{key} = #{value}"
  end
end

The enumerable also has an accessor called metadata which returns a description of the rows and columns:

rows = client.execute('SELECT date, description FROM events'
rows.metadata['date'].type # => :date

Each call to #execute selects a random connection to run the query on.

Creating keyspaces and tables

There is no special facility for creating keyspaces and tables, they are created by executing CQL:

keyspace_definition = <<-KSDEF
  CREATE KEYSPACE measurements
  WITH replication = {
    'class': 'SimpleStrategy',
    'replication_factor': 3
  }
KSDEF

table_definition = <<-TABLEDEF
  CREATE TABLE events (
    id INT,
    date DATE,
    comment VARCHAR,
    PRIMARY KEY (id)
  )
TABLEDEF

client.execute(keyspace_definition)
client.use('measurements')
client.execute(table_definition)

You can also ALTER keyspaces and tables, and you can read more about that in the CQL3 syntax documentation.

Prepared statements

The driver supports prepared statements. Use #prepare to create a statement object, and then call #execute on that object to run a statement. You must supply values for all bound parameters when you call #execute.

statement = client.prepare('SELECT date, description FROM events WHERE id = ?')
rows = statement.execute(1235)

A prepared statement can be run many times, but the CQL parsing will only be done once. Use prepared statements for queries you run over and over again.

INSERT, UPDATE, DELETE and SELECT statements can be prepared, other statements may raise QueryError.

Statements are prepared on all connections and each call to #execute selects a random connection to run the query on.

Consistency

You can specify the default consistency to use when you create a new Client:

client = Cql::Client.connect(hosts: %w[localhost], consistency: :all)

The #execute (of Client and PreparedStatement) method also supports setting the desired consistency level on a per-request basis:

client.execute('SELECT * FROM peers', consistency: :local_quorum)

for backwards compatibility with v1.0 you can also pass the consistency as just a symbol:

client.execute('SELECT * FROM peers', :local_quorum)

The possible values for consistency are:

  • :any
  • :one
  • :two
  • :three
  • :quorum
  • :all
  • :local_quorum
  • :each_quorum
  • :local_one

The default consistency level unless you've set it yourself is :quorum.

Consistency is ignored for USE, TRUNCATE, CREATE and ALTER statements, and some (like :any) aren't allowed in all situations.

Compression

The CQL protocol supports frame compression, which can give you a performance boost if your requests or responses are big. To enable it you can pass a compressor object when you connect.

Cassandra currently supports two compression algorithms: Snappy and LZ4. Support for Snappy compression ships with cql-rb, but in order to use it you will have to install the snappy gem separately. Once it's installed you can enable compression like this:

require 'cql/compression/snappy_compressor'

compressor = Cql::Compression::SnappyCompressor.new
client = Cql::Client.connect(hosts: %w[localhost], compressor: compressor)

CQL3

This is just a driver for the Cassandra native CQL protocol, it doesn't really know anything about CQL. You can run any CQL3 statement and the driver will return whatever Cassandra replies with.

Read more about CQL3 in the CQL3 syntax documentation and the Cassandra query documentation.

Cassandra 2.0

Cassandra 2.0 introduced a new version of the native protocol with some new features like argument interpolation in non-prepared statements, result set cursors, a new authentication mechanism and the SERIAL consistency. These features are not yet supported, but the driver will work with Cassandra 2.0 using the earlier protocol. Support for all of the features of the new protocol is being worked on. If there is a particular feature that you would want to see implemented, open an issue and describe your use case. This helps with prioritizing what should be implemented first.

Troubleshooting

I get "Deadlock detected" errors

This means that the driver's IO reactor has crashed hard. Most of the time it means that you're using a framework, server or runtime that forks and you call Client.connect in the parent process. Check the documentation and see if there's any way you can register to run some piece of code in the child process just after a fork, and connect there.

This is how you do it in Resque:

Resque.after_fork = proc do
  # connect to Cassandra here
end

and this is how you do it in Passenger:

PhusionPassenger.on_event(:starting_worker_process) do |forked|
  if forked
    # connect to Cassandra here
  end
end

in Unicorn you do it in the config file:

after_fork do |server, worker|
  # connect to Cassandra here
end

If your process does not fork and you still encounter deadlock errors, it might also be a bug. All IO is done is a dedicated thread, and if something happens that makes that thread shut down, Ruby will detect that the locks that the client code is waiting on can't be unlocked.

I get "Bad file descriptor"

If you're using cql-rb on Windows there's an experimental branch with Windows support. The problem is that Windows does not support non blocking reads on IO objects other than sockets, and the fix is very small. Unfortunately I have no way of properly testing things in Windows, so therefore the "experimental" label.

I'm not getting all elements back from my list/set/map

There's a known issue with collections that get too big. The protocol uses a short for the size of collections, but there is no way for Cassandra to stop you from creating a collection bigger than 65536 elements, so when you do the size field overflows with strange results. The data is there, you just can't get it back.

Authentication doesn't work

Please open an issue. It should be working, but it's hard to write tests for, so there may be edge cases that aren't covered.

If you are using DataStax Enterprise and authentication it is unfortunately not supported yet. DataStax backported the authentication from Cassandra 2.0 into DSE, even though it only uses Cassandra 1.2. The authentication mechanism in Cassandra 2.0 is very different and you will have to wait until support for Cassandra 2.0 is added to cql-rb before it will work with DSE.

I'm connecting to port 9160 and it doesn't work

Port 9160 is the old Thrift interface, the binary protocol runs on 9042. This is also the default port for cql-rb, so unless you've changed the port in cassandra.yaml, don't override the port.

Something else is not working

Open an issue and someone will try to help you out. Please include the gem version, Casandra version and Ruby version, and explain as much about what you're doing as you can, preferably the smallest piece of code that reliably triggers the problem. The more information you give, the better the chances you will get help.

Performance tips

Use prepared statements

When you use prepared statements you don't have to smash strings together to create a chunk of CQL to send to the server. Avoiding creating many and large strings in Ruby can be a performance gain in itself. Not sending the query every time, but only the actual data also decreases the traffic over the network, and it decreases the time it takes for the server to handle the request since it doesn't have to parse CQL. Prepared statements are also very convenient, so there is really no reason not to use them.

Use JRuby

If you want to be serious about Ruby performance you have to use JRuby. The cql-rb client is completely thread safe, and the CQL protocol is pipelined by design so you can spin up as many threads as you like and your requests per second will scale more or less linearly (up to what your cores, network and Cassandra cluster can deliver, obviously).

Applications using cql-rb and JRuby can do over 10,000 write requests per second from a single EC2 m1.large if tuned correctly.

Try batching

Batching in Cassandra isn't always as good as in other (non-distributed) databases. Since rows are distributed accross the cluster the coordinator node must still send the individual pieces of a batch to other nodes, and you could have done that yourself instead. Batches also mean that in most cases you need to smash strings together to create a big CQL string, so you increase the size of your requests, using up more bandwidth and making the server have to do more CQL parsing. Prepared statements are almost always a better choice for performance.

Cassandra 2.0 introduced a new form of batches where you can send a batch of prepared statement executions as one request, when support for that arrives in cql-rb, this advice should be reconsidered.

Try compression

If your requests or responses are big, compression can help decrease the amound of traffic over the network, which is often a good thing. If your requests and responses are small, compression often doesn't do anything. You should benchmark and see what works for you. The Snappy compressor that comes with cql-rb uses very little CPU, so most of the time it doesn't hurt to leave it on.

In read-heavy applications requests are often small, and need no compression, but responses can be big. In these situations you can modify the compressor used to turn off compression for requests completely. The Snappy compressor that comes with cql-rb will not compress frames less than 64 bytes, for example, and you can change this threshold when you create the compressor.

Try experimental features

To get maximum performance you can't wait for a request to complete before sending the next. At it's core cql-rb embraces this completely and uses non-blocking IO and a completely asynchronous model for the request processing. The synchronous API that you use is just a thin façade on top that exists for convenience. If you need to scale to thousands of requests per second, have a look at the client code and look at the asynchronous core, it works very much like the public API, but using it they should be considererd experimental. Experimental in this context does not mean buggy, it is the core of cql-rb after all, but it means that you cannot rely on it being backwards compatible.

Changelog & versioning

Check out the releases on GitHub. Version numbering follows the semantic versioning scheme.

Private and experimental APIs, defined as whatever is not in the public API documentation will change without warning. If you've been recommended to try an experimental API by the maintainers, please let them know if you depend on that API. Experimental APIs will eventually become public, and knowing how they are used helps in determining their maturity.

Prereleases will be stable, in the sense that they will have finished and properly tested features only, but may introduce APIs that will change before the final release. Please use the prereleases and report bugs, but don't deploy them to production without consulting the maintainers, or doing extensive testing yourself. If you do deploy to production please let the maintainers know as this helps determining the maturity of the release.

Known bugs & limitations

  • JRuby 1.6 is not officially supported, although 1.6.8 should work, if you're stuck in JRuby 1.6.8 try and see if it works for you.
  • Windows is not supported (there is experimental support in the windows branch).
  • Large results are buffered in memory until the whole response has been loaded, the protocol makes it possible to start to deliver rows to the client code as soon as the metadata is loaded, but this is not supported yet.
  • There is no cluster introspection utilities (like the DESCRIBE commands in cqlsh) -- but it's not clear whether that will ever be added, it would be useful, but it is also something that another gem could add on top.
  • New features in v2 of the protocol are not supported -- this is planned and in progress

Also check out the issues for open bugs.

How to contribute

See CONTRIBUTING.md

Copyright

Copyright 2013–2014 Theo Hultberg/Iconara and contributors

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

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