- in-memory message queue system
- runs stand-alone (download), via Docker or embedded
- Amazon SQS-compatible interface
- fully asynchronous implementation, no blocking calls
- created and maintained by:
ElasticMQ is a message queue system, offering an actor-based Scala and an SQS-compatible REST (query) interface.
ElasticMQ follows the semantics of SQS. Messages are received by polling the queue. When a message is received, it is blocked for a specified amount of time (the visibility timeout). If the message isn't deleted during that time, it will be again available for delivery. Moreover, queues and messages can be configured to always deliver messages with a delay.
The focus in SQS (and ElasticMQ) is to make sure that the messages are delivered. It may happen, however, that a message is delivered twice (if, for example, a client dies after receiving a message and processing it, but before deleting). That's why clients of ElasticMQ (and Amazon SQS) should be idempotent.
As ElasticMQ implements a subset of the SQS query (REST) interface, it is a great SQS alternative both for testing purposes (ElasticMQ is easily embeddable) and for creating systems which work both within and outside of the Amazon infrastructure.
A simple UI is available for viewing real-time queue statistics.
You can download the stand-alone distribution here: https://s3/.../elasticmq-server-1.0.0.jar
Java 8 or above is required for running the server.
Simply run the jar and you should get a working server, which binds to localhost:9324
:
java -jar elasticmq-server-1.0.0.jar
ElasticMQ uses Typesafe Config for configuration. To specify custom
configuration values, create a file (e.g. custom.conf
), fill it in with the desired values, and pass it to the server:
java -Dconfig.file=custom.conf -jar elasticmq-server-1.0.0.jar
The config file may contain any configuration for Akka and ElasticMQ. Current ElasticMQ configuration values are:
include classpath("application.conf")
// What is the outside visible address of this ElasticMQ node
// Used to create the queue URL (may be different from bind address!)
node-address {
protocol = http
host = localhost
port = 9324
context-path = ""
}
rest-sqs {
enabled = true
bind-port = 9324
bind-hostname = "0.0.0.0"
// Possible values: relaxed, strict
sqs-limits = strict
}
rest-stats {
enabled = true
bind-port = 9325
bind-hostname = "0.0.0.0"
}
// Should the node-address be generated from the bind port/hostname
// Set this to true e.g. when assigning port automatically by using port 0.
generate-node-address = false
queues {
// See next section
}
// Region and accountId which will be included in resource ids
aws {
region = us-west-2
accountId = 000000000000
}
You can also provide an alternative Logback configuration file (the default is configured to log INFO logs and above to the console):
java -Dlogback.configurationFile=my_logback.xml -jar elasticmq-server-1.0.0.jar
Some of the responses include a queue URL. By default, the URLs will use https://localhost:9324
as the base URL.
To customize, you should properly set the protocol/host/port/context in the node-address
setting (see above).
You can also set node-address.host
to a special value, "*"
, which will cause any queue URLs created during a request
to use the path of the incoming request. This might be useful e.g. in containerized (Docker) deployments.
Note that changing the bind-port
and bind-hostname
settings do not affect the queue URLs in any way unless
generate-node-address
is true
. In that case, the bind host/port are used to create the node address. This is
useful when the port should be automatically assigned (use port 0
in such case, the selected port will be
visible in the logs).
Queues can be automatically created on startup by providing appropriate configuration:
The queues are specified in a custom configuration file. For example, create a custom.conf
file with the following:
include classpath("application.conf")
queues {
queue1 {
defaultVisibilityTimeout = 10 seconds
delay = 5 seconds
receiveMessageWait = 0 seconds
deadLettersQueue {
name = "queue1-dead-letters"
maxReceiveCount = 3 // from 1 to 1000
}
fifo = false
contentBasedDeduplication = false
copyTo = "audit-queue-name"
moveTo = "redirect-queue-name"
tags {
tag1 = "tagged1"
tag2 = "tagged2"
}
}
queue1-dead-letters { }
audit-queue-name { }
redirect-queue-name { }
}
All attributes are optional (except name
and maxReceiveCount
when a deadLettersQueue
is defined).
copyTo
and moveTo
attributes allow to achieve behavior that might be useful primarily for integration testing scenarios -
all messages could be either duplicated (using copyTo
attribute) or redirected (using moveTo
attribute) to another queue.
While creating the FIFO queue, .fifo suffix will be added automatically to queue name.
val server = SQSRestServerBuilder.start()
// ... use ...
server.stopAndWait()
If you need to bind to a different host/port, there are configuration methods on the builder:
val server = SQSRestServerBuilder.withPort(9325).withInterface("localhost").start()
// ... use ...
server.stopAndWait()
You can also set a dynamic port with a port value of 0
or by using the method withDynamicPort
. To retrieve the port (and other configuration) when using a dynamic port value you can access the server via waitUntilStarted
for example:
val server = SQSRestServerBuilder.withDynamicPort().start()
server.waitUntilStarted().localAddress().getPort()
You can also provide a custom ActorSystem
; for details see the javadocs.
Embedded ElasticMQ can be used from any JVM-based language (Java, Scala, etc.).
(Note that the embedded server does not load any configuration files, so you cannot automatically create queues on startup as described above. You can of course create queues programmatically.)
To use Amazon Java SDK as an interface to an ElasticMQ server you just need to change the endpoint:
String endpoint = "https://localhost:9324";
String region = "elasticmq";
String accessKey = "x";
String secretKey = "x";
AmazonSQS client = AmazonSQSClientBuilder.standard()
.withCredentials(new AWSStaticCredentialsProvider(new BasicAWSCredentials(accessKey, secretKey)))
.withEndpointConfiguration(new AwsClientBuilder.EndpointConfiguration(endpoint, region))
.build();
The endpoint value should be the same address as the NodeAddress
provided as an argument to
SQSRestServerBuilder
or in the configuration file.
The rest-sqs-testing-amazon-java-sdk
module contains some more usage examples.
To use Amazon boto as an interface to an ElasticMQ server you set up the connection using:
region = boto.sqs.regioninfo.RegionInfo(name='elasticmq',
endpoint=sqs_endpoint)
conn = boto.connect_sqs(aws_access_key_id='x',
aws_secret_access_key='x',
is_secure=False,
port=sqs_port,
region=region)
where sqs_endpoint
and sqs_port
are the host and port.
The boto3
interface is different:
client = boto3.resource('sqs',
endpoint_url='https://localhost:9324',
region_name='elasticmq',
aws_secret_access_key='x',
aws_access_key_id='x',
use_ssl=False)
queue = client.get_queue_by_name(QueueName='queue1')
A Docker image built using GraalVM's native-image,
is available as softwaremill/elasticmq-native
.
To start, run (9324 is the default REST-SQS API port; 9325 is the default UI port, exposing it is fully optional):
docker run -p 9324:9324 -p 9325:9325 softwaremill/elasticmq-native
The elasticmq-native
image is much smaller (30MB vs 240MB) and starts up much faster (milliseconds instead of seconds),
comparing to the full JVM version (see below). Custom configuration can be provided by creating a custom
configuration file (see above) and using it when running the container:
docker run -p 9324:9324 -p 9325:9325 -v `pwd`/custom.conf:/opt/elasticmq.conf softwaremill/elasticmq-native
A Docker image is built on each release an pushed as softwaremill/elasticmq
.
Run using:
docker run -p 9324:9324 -p 9325:9325 softwaremill/elasticmq
The image uses default configuration. Custom configuration can be provided (e.g. to change the port, or create queues on startup) by creating a custom configuration file (see above) and using it when running the container:
docker run -p 9324:9324 -p 9325:9325 -v `pwd`/custom.conf:/opt/elasticmq.conf softwaremill/elasticmq
To pass additional java system properties (-D
) you need to prepare an application.ini
file. For instance, to set custom logback.xml
configuration, application.ini
should look as follows:
application.ini:
-Dconfig.file=/opt/elasticmq.conf
-Dlogback.configurationFile=/opt/docker/conf/logback.xml
To run container with customized application.ini
file (and custom logback.xml
in this particular case) the following command should be used:
docker run -v `pwd`/application.ini:/opt/docker/conf/application.ini -v `pwd`/logback.xml:/opt/docker/conf/logback.xml -p 9324:9324 -p 9325:9325 softwaremill/elasticmq
Another option is to use custom Dockerfile
:
FROM openjdk:8-jre-alpine
ARG ELASTICMQ_VERSION
ENV ELASTICMQ_VERSION ${ELASTICMQ_VERSION:-1.0.0}
RUN apk add --no-cache curl ca-certificates
RUN mkdir -p /opt/elasticmq/log /opt/elasticmq/lib /opt/elasticmq/config
RUN curl -sfLo /opt/elasticmq/lib/elasticmq.jar https://s3-eu-west-1.amazonaws.com/softwaremill-public/elasticmq-server-${ELASTICMQ_VERSION}.jar
COPY ${PWD}/elasticmq.conf /opt/elasticmq/config/elasticmq.conf
WORKDIR /opt/elasticmq
EXPOSE 9324
ENTRYPOINT [ "/usr/bin/java", "-Dconfig.file=/opt/elasticmq/conf/elasticmq.conf", "-jar", "/opt/elasticmq/lib/elasticmq.jar" ]
and override the entrypoint passing the required properties.
// Scala 2.13 and 2.12
val elasticmqSqs = "org.elasticmq" %% "elasticmq-rest-sqs" % "1.0.0"
If you don't want the SQS interface, but just use the actors directly, you can add a dependency only to the core
module:
val elasticmqCore = "org.elasticmq" %% "elasticmq-core" % "1.0.0"
If you want to use a snapshot version, you will need to add the https://oss.sonatype.org/content/repositories/snapshots/ repository to your configuration.
Dependencies:
<dependency>
<groupId>org.elasticmq</groupId>
<artifactId>elasticmq-rest-sqs_2.12</artifactId>
<version>1.0.0</version>
</dependency>
If you want to use a snapshot version, you will need to add the https://oss.sonatype.org/content/repositories/snapshots/ repository to your configuration.
Stable: 1.0.0
ElasticMQ uses Slf4j for logging. By default no logger backend is included as a dependency, however Logback is recommended.
Tests done on a 2012 MBP, 2.6GHz, 16GB RAM, no replication. Throughput is in messages per second (messages are small).
Directly accessing the client:
Running test for [in-memory], iterations: 10, msgs in iteration: 100000, thread count: 1.
Overall in-memory throughput: 21326.054040
Running test for [in-memory], iterations: 10, msgs in iteration: 100000, thread count: 2.
Overall in-memory throughput: 26292.956117
Running test for [in-memory], iterations: 10, msgs in iteration: 100000, thread count: 10.
Overall in-memory throughput: 25591.155697
Through the SQS REST interface:
Running test for [rest-sqs + in-memory], iterations: 10, msgs in iteration: 1000, thread count: 20.
Overall rest-sqs + in-memory throughput: 2540.553587
Running test for [rest-sqs + in-memory], iterations: 10, msgs in iteration: 1000, thread count: 40.
Overall rest-sqs + in-memory throughput: 2600.002600
Note that both the client and the server were on the same machine.
Test class: org.elasticmq.performance.LocalPerformanceTest
.
To build and run with debug (this will listen for a remote debugger on port 5005):
~/workspace/elasticmq $ sbt -jvm-debug 5005
> project server
> run
To build a jar-with-dependencies:
~/workspace/elasticmq $ sbt
> project server
> assembly
Do not forget to adjust the CPU and memory settings for the Docker process. It was checked with 6CPUs, 8GB of memory and 2GB of swap. Also, make sure that you are running sbt with the graalvm java, as the way the jars are composed seem to differ from other java implementations, and affect the native-image process that is run later! To rebuild the native image, run:
sbt "project nativeServer; clean; graalvm-native-image:packageBin; docker:publishLocal"
Generating GraalVM config files is a manual process currently. You need to run the fat-jar using the GraalVM VM (w/ native-image installed using gu
), and then run the following commands to generate the configs:
java -agentlib:native-image-agent=config-output-dir=... -jar elasticmq-server-assembly.jar
java -agentlib:native-image-agent=config-merge-dir=... -Dconfig.file=test.conf -jar elasticmq-server-assembly.jar
(to additionally generate config needed to load custom elasticmq config)
These files should be placed in native-server/src/main/resources/META-INF/native-image
and are automatically used by the native-image process.
To run the tests:
~/workspace/elasticmq $ sbt test
To check the coverage reports:
~/workspace/elasticmq $ sbt
> coverage
> tests
> coverageReport
> coverageAggregate
Although it's mostly only the core project that is relevant for coverage testing, each project's report can be found in their target directory:
- core/target/scala-2.12/scoverage-report/index.html
- common-test/target/scala-2.12/scoverage-report/index.html
- rest/rest-sqs/target/scala-2.12/scoverage-report/index.html
- server/target/scala-2.12/scoverage-report/index.html
The aggregate report can be found at target/scala-2.12/scoverage-report/index.html
UI provides real-time information about the state of messages and attributes of queue.
UI is bundled with both standard and native images. It is exposed on the address that is defined in rest-stats configuration (by default 0:0:0:0:9325).
In order to turn it off, you have to switch it off via rest-stats.enabled flag.
You can start UI via yarn start
command in the ui
directory, which will run on localhost:3000 address.
ElasticMQ exposes Queues
MBean. It contains three operations:
QueueNames
- returns array of names of queuesNumberOfMessagesForAllQueues
- returns tabular data that contains information about number of messages per queuegetNumberOfMessagesInQueue
- returns information about number of messages in specified queue
- Core: Scala and Akka.
- Rest server: Akka HTTP, a high-performance, asynchronous, REST/HTTP toolkit.
- Testing the SQS interface: Amazon Java SDK;
see the
rest-sqs-testing-amazon-java-sdk
module for the testsuite.
We offer commercial support for ElasticMQ and related technologies, as well as development services. Contact us to learn more about our offer!
Copyright (C) 2011-2020 SoftwareMill https://softwaremill.com.