Non-Potable Macchiato


    0.10.0 • Public • Published

    CouchDB Queue Service

    CQS is a message queue system, using Apache CouchDB. It is exactly like Amazon Simple Queue Service (SQS). The API is the same. Everything is exactly the same, it just runs on CouchDB.

    CQS is implented in Javascript and supports:

    • NodeJS
    • Google Chrome 12
    • Firefox 3.5, Firefox 3.6, Firefox 4
    • Safari 5
    • Internet Explorer 8, Internet Explorer 9

    Use CQS if you use Javascript, you know (or appreciate) Amazon SQS, and you want the same thing on your server.

    For Node, install with NPM.

    $ npm install cqs

    The test script test/run.js will copy itself into a Couch app which you can run from the browser.


    Initialize the CQS module to point to a database on your couch.

    // A normal import.
    var cqs = require('cqs');
    // Pre-apply my couch and db name.
    cqs = cqs.defaults({ "couch": ""
                       , "db"   : "cqs_queue"

    List Queues

    cqs.ListQueues(function(error, queues) {
      console.log("Found " + queues.length + " queues:");
      queues.forEach(function(queue) {
        console.log("  * " +;
      // Output:
      // Found 2 queues:
      //   * a_queue
      //   * another_queue

    Create Queues

    Creating queues requires database administrator access.

    // Just create with a name.
    cqs.CreateQueue("important_stuff", function(error, queue) {
        console.log("Important stuff queue is ready");
    // Create with an options object.
    var opts = { QueueName               : "unimportant_stuff"
               , DefaultVisibilityTimeout: 3600 // 1 hour
               , browser_attachments     : true // Attach browser libs and test suite
    cqs.CreateQueue(opts, function(error, queue) {
        console.log("Created " + + " with timeout + " queue.VisibilityTimeout);
      // Output
      // Created unimportant_stuff with timeout 3600

    Send a Message

    Everything is like SQS, except the message body is any JSON value.

    // The convenient object API:
    important_stuff.send(["keep these", "things", "in order"], function(error, message) {
        console.log('Sent: ' + JSON.stringify(message.Body));
      // Output:
      // Sent: ["keep these","things","in order"]
    cqs.SendMessage(important_stuff, "This message is important!", function(error, message) {
        console.log('Sent message: ' + message.Body);
      // Output:
      // Sent message: This message is important!
    // Or, just use the queue name.
    cqs.SendMessage('some_other_queue', {going_to: "the other queue"}, function(error, message) {
        console.log('Message ' + message.MessageId + ' is going to ' + message.Body.going_to);
      // Output:
      // Message a9b1c48bd6ae433eb7879013332cd3cd is going to the other queue

    Receive a Message

    Note, like the SQS API, ReceiveMessage always returns a list.

    // The convenient object API:
    my_queue.receive(function(error, messages) {
        console.log('Received message: ' + JSON.stringify(messages[0].Body));
      // Output:
      // Received message: <message body>
    // The standard API, receiving multiple messages
    cqs.ReceiveMessage(some_queue, 5, function(er, messages) {
        console.log('Received ' + messages.length + ' messages');
      // Output:
      // Received <0 through 5> messages

    Delete a Message

    When a message is "done", remove it from the queue.

    // The convenient object API:
    message.del(function(error) {
      // Message deletion never results in an error. If a message is successfully
      // deleted, it will simply never appear in the queue again.
      console.log('Message deleted!');
    // The standard API:
    cqs.DeleteMessage(my_message, function(error) {
      console.log('Message deleted');

    API Parameters

    These parameters are useful with the .defaults() method to customize CQS behavior.

    • couch | URL to CouchDB
    • db | Database storing the CQS queue
    • time_C | Coefficient of timeouts. CQS treats a delayed response as a failure. Timeout durations (default 0.5s) are multipled by time_C.

    Test Suite

    The test suite uses node-tap. Install tap via npm install -g tap then run tap test/tap in this project.

    $ tap test/tap
    ok test/tap/couch.js ............................ 12368/12368
    ok test/tap/cqs.js .................................... 82/82
    ok test/tap/lib.js .................................... 11/11
    ok test/tap/once.js ............................. 10007/10007
    ok test/tap/tap.js ...................................... 1/1
    total ........................................... 22469/22469

    Use environment variables to set operational parameters, for example:

    env couch= C=20 ./tests/run.js

    List of variables:

    • cqs_couch | URL of CouchDB; the couch API parameter
    • cqs_db | Name of database storing the queue; the db API parameter
    • C or timeout_coefficient | Timeout coefficient; time_C API parameter
    • exit | Halt all testing on a timeout error
    • skip_browser | Do not attach the browser test suite Couch app
    • cqs_log_level | log4js log level ("debug" and "info" are useful)

    Running tests in the browser

    The test suite copies itself into CouchDB as a Couch app. Just visit /cqs_test/_design/CQS%2fapi_tests/test.html in your browser.

    To simulate environment variables, use the URL query string, for example:


    To Do

    I wish CQS had many more features.

    • Use one design document instead of one per queue. One design document is better at the low end, multiple design documents are better at the high end. Ideally, we can choose one or the other.
    • Management
      • Every API call has a 0.1% chance of running management tasks
      • You could run a dedicated management process so the producers/consumers don't have to worry
      • Purge old messages

    Purging CouchDB

    CouchDB stores delete operations indefinitely. This allows delete operations to replicate. Unfortunately, deleted documents accumulate, consuming disk space.

    Damien describes CouchDB purging in the mailing list. Purging permanently removes documents, as if they never existed. Databases with high create/delete churn ultimately must be purged at some point. Purge operations, by intention, cannot replicate; thus purging is essentially local database maintenance, only done to documents which nobody will ever miss. A final concern is that purging too often will destroy view indexes. Applications using views will be effectively offline until the views rebuild.

    The following procedure is a cooperative technique for safe, zero-impact, zero-downtime, purging. Since purging is local to a database, the procedure makes some assumptions:

    • There is an authoritative clock, used for timestamps. CouchDB Date headers indicate this clock's current time.
    • Concurrent purges serialize using timestamps and advisory locking in a _local document

    In this procedure, this is the criteria for purging a document:

    1. It must be deleted
    2. It must be sufficiently old, defined as
      • Either it has a deleted_at timestamp, older than Age (preferred)
      • Or it hasn't a deleted_at field, but its update sequence is greater than Updates ago

    Thus, Age and Updates are site-specific parameters. Both are effectively a replication deadline. The documents had better finish replicating before the delete becomes Age old and before Updates subsequent changes! Choosing an age is better (24 hours, or 7 days both seem reasonable); however the update deadline is necessary to purge documents from legacy applications which use HTTP DELETE.

    The procedure:

    1. Sanity checks. These are optional but can reduce the time the lock is held.
    2. Ping the DB
      • If compaction is running, abort, otherwise...
      • Remember update_seq = committed_update_seq
      • Remember now = the Date header
    3. Freshen the views. For each design document:
      1. Pick a deterministically random view based on _id and _rev
      2. Query the view ?reduce=false&limit=1
      3. Query _info. If purge_seq changes during this loop, something is wrong. Abort.
    4. Fetch _local/maintenance which should have an expires_at value.
    5. If the expiration timestamp is greater than the Date header timestamp, abort
    6. Store _local/maintenance and abort if the request fails
    • Your UUID (pick one at random)
    • activity = "purge"
    • started_at timestamp = now
    • expires_at timestamp when maintenance is expected to be done (5 minutes?)
    2. Start a timer to abort if expires_at occurs
    3. Optionally start a timer before expiration, to attempt to extend it before it occurs
    4. Run the sanity checks (mandatory). Remember now and update_seq.
    5. Identify _ids and _revs to purge (optionally, begin this step immediatly after ping the db completes). Ideas:
    • Hit _changes?since=0, anything with "deleted":true and seq < update_seq - Updates can purge
    • Maybe query with &include_docs=true and check deleted_at vs. now - Age
    • Maybe a _changes filter to do all this server-side?
    • Maybe follow-up on the deleted docs (POST _all_docs?include_docs=true {"keys":[...]}) looking for old deleted_at
    • If COUCHDB-1252 is done, a view could help: if(doc._deleted && doc.deleted_at) emit(doc.deleted_at, 1);
    1. Run the purge request
    2. Freshen the views
    3. Purge again with 0 documents. This scrubs the purge operation, which had left copies of IDs and revs in the file.
    4. Freshen the views
    5. Trigger compaction. Optionally poll the db in the background. When compact_running becomes false, the documents are gone forever. Fire an event or callback or something.
    6. Optionally, release the lock early. Set expires_at = now and update _local/maintenance.




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